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Author SHA1 Message Date
Benjamin Admin
f3b9617fc3 Add 6 Anton-inspired features for vocabulary learning
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Feature 1 — StarRating: 1-3 stars per exercise (100%=3, 70%=2, <70%=1)
Feature 2 — Progress bar in UnitCard with Leitner box distribution
Feature 3 — Listening exercise: hear word via TTS, choose correct translation
Feature 4 — Matching game: tap-to-match EN↔DE pairs (6 per round)
Feature 5 — Pronunciation: word with syllable bows + mic → STT comparison
Feature 6 — Syllable bows in FlashCards (SyllableBow under word + IPA)

UnitCard now shows 6 exercise types: Karten, Quiz, Tippen, Hoeren,
Zuordnen, Sprechen. Progress bar and star count displayed.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 16:10:58 +02:00
Benjamin Admin
8efffe8c52 Fix: Use @shared/* alias instead of relative paths for Docker compat
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 16:08:14 +02:00
Benjamin Admin
a317bd6164 [interface-change] Phase 4: Extract shared types + fix Docker context
Shared types extracted to shared/types/:
- companion.ts (33+ types, was 100% duplicated admin-lehrer ↔ studio-v2)
- klausur.ts (18+ types, was 95% duplicated across 4 locations)
- ocr-labeling.ts (11 types, was 100% duplicated admin-lehrer ↔ website)

Original type files replaced with re-exports for backward compat.
tsconfig.json paths updated with @shared/* alias in all 3 services.

Docker: Changed build context from ./service to . (root) so shared/
is accessible. Dockerfiles updated to COPY service/ + shared/.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 15:52:19 +02:00
Benjamin Admin
dc60233262 Add Piper TTS audio integration for vocabulary words
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audio_service.py: Connects to compliance-tts-service (Piper TTS,
MIT license) for high-quality German (Thorsten) and English (Lessac)
voices. Audio cached as MP3 on first request.

vocabulary_api.py: New endpoints:
- GET /vocabulary/word/{id}/audio/{lang} — word pronunciation
- GET /vocabulary/word/{id}/audio-syllables/{lang} — slow syllable-by-syllable

Anton App analysis: identified 5 features to adopt (star system,
games as rewards, progress bars, listening exercises, matching exercises).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 15:40:01 +02:00
Benjamin Admin
0ff5399a62 Fix: Change empty path to '/' in recording_routes (FastAPI requirement)
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Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 15:21:59 +02:00
Benjamin Admin
354b0394e5 Fix: Re-export SessionResponse from classroom/routes/sessions barrel
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 15:15:49 +02:00
Benjamin Admin
20aea13181 Fix: Cast iframe ref to any for React 19 compat
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 15:11:38 +02:00
Benjamin Admin
deb405a3a1 Fix: Add missing Category interface to audit-workspace types
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 15:02:53 +02:00
Benjamin Admin
03fc0c5945 Fix: Remove gpu-config reference (page was deleted in Phase 0)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 14:52:35 +02:00
Benjamin Admin
6a9eb048da Fix: use generic callback type for startActivity in useSessionHandlers
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 14:38:24 +02:00
Benjamin Admin
c92f2dc7a7 Fix: startActivity parameter type mismatch in useSessionHandlers
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 14:29:40 +02:00
Benjamin Admin
4e27c9b35a Fix: conversation.muted also needs nullish coalescing
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 14:16:25 +02:00
Benjamin Admin
8631971821 Fix: conversation.pinned may be undefined, use nullish coalescing
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 14:02:13 +02:00
Benjamin Admin
713f0e7570 Fix: Rename .ts files containing JSX to .tsx
- studio-v2/app/meet/_components/types.ts → types.tsx
- website/app/admin/mail/constants.ts → constants.tsx
- website/app/admin/compliance/types.ts → types.tsx

Turbopack requires .tsx extension for files with JSX syntax.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 13:42:03 +02:00
Benjamin Admin
df3f6e65c2 Fix: Remove unused useState import in EHWizardSteps
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 13:13:11 +02:00
Benjamin Admin
37db47fcd9 [guardrail-change] Install pre-commit LOC budget hook
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- Rewrote scripts/check-loc.sh: fixed macOS compat, added --staged mode,
  optimized --all mode with find+wc pipeline
- Added .git/hooks/pre-commit that runs check-loc.sh --staged
- Extended loc-exceptions.txt with glob patterns for test files (*test*)
  and blog content pages (blog/*/page.tsx)

The hook blocks commits containing staged files >500 LOC unless exempted.
Bypass for emergencies: git commit --no-verify

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 10:28:33 +02:00
Benjamin Admin
bd4b956e3c [split-required] Split final 43 files (500-668 LOC) to complete refactoring
klausur-service (11 files):
- cv_gutter_repair, ocr_pipeline_regression, upload_api
- ocr_pipeline_sessions, smart_spell, nru_worksheet_generator
- ocr_pipeline_overlays, mail/aggregator, zeugnis_api
- cv_syllable_detect, self_rag

backend-lehrer (17 files):
- classroom_engine/suggestions, generators/quiz_generator
- worksheets_api, llm_gateway/comparison, state_engine_api
- classroom/models (→ 4 submodules), services/file_processor
- alerts_agent/api/wizard+digests+routes, content_generators/pdf
- classroom/routes/sessions, llm_gateway/inference
- classroom_engine/analytics, auth/keycloak_auth
- alerts_agent/processing/rule_engine, ai_processor/print_versions

agent-core (5 files):
- brain/memory_store, brain/knowledge_graph, brain/context_manager
- orchestrator/supervisor, sessions/session_manager

admin-lehrer (5 components):
- GridOverlay, StepGridReview, DevOpsPipelineSidebar
- DataFlowDiagram, sbom/wizard/page

website (2 files):
- DependencyMap, lehrer/abitur-archiv

Other: nibis_ingestion, grid_detection_service, export-doclayout-onnx

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 09:41:42 +02:00
Benjamin Admin
451365a312 [split-required] Split remaining 500-680 LOC files (final batch)
website (17 pages + 3 components):
- multiplayer/wizard, middleware/wizard+test-wizard, communication
- builds/wizard, staff-search, voice, sbom/wizard
- foerderantrag, mail/tasks, tools/communication, sbom
- compliance/evidence, uni-crawler, brandbook (already done)
- CollectionsTab, IngestionTab, RiskHeatmap

backend-lehrer (5 files):
- letters_api (641 → 2), certificates_api (636 → 2)
- alerts_agent/db/models (636 → 3)
- llm_gateway/communication_service (614 → 2)
- game/database already done in prior batch

klausur-service (2 files):
- hybrid_vocab_extractor (664 → 2)
- klausur-service/frontend: api.ts (620 → 3), EHUploadWizard (591 → 2)

voice-service (3 files):
- bqas/rag_judge (618 → 3), runner (529 → 2)
- enhanced_task_orchestrator (519 → 2)

studio-v2 (6 files):
- korrektur/[klausurId] (578 → 4), fairness (569 → 2)
- AlertsWizard (552 → 2), OnboardingWizard (513 → 2)
- korrektur/api.ts (506 → 3), geo-lernwelt (501 → 2)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 08:56:45 +02:00
Benjamin Admin
b4613e26f3 [split-required] Split 500-850 LOC files (batch 2)
backend-lehrer (10 files):
- game/database.py (785 → 5), correction_api.py (683 → 4)
- classroom_engine/antizipation.py (676 → 5)
- llm_gateway schools/edu_search already done in prior batch

klausur-service (12 files):
- orientation_crop_api.py (694 → 5), pdf_export.py (677 → 4)
- zeugnis_crawler.py (676 → 5), grid_editor_api.py (671 → 5)
- eh_templates.py (658 → 5), mail/api.py (651 → 5)
- qdrant_service.py (638 → 5), training_api.py (625 → 4)

website (6 pages):
- middleware (696 → 8), mail (733 → 6), consent (628 → 8)
- compliance/risks (622 → 5), export (502 → 5), brandbook (629 → 7)

studio-v2 (3 components):
- B2BMigrationWizard (848 → 3), CleanupPanel (765 → 2)
- dashboard-experimental (739 → 2)

admin-lehrer (4 files):
- uebersetzungen (769 → 4), manager (670 → 2)
- ChunkBrowserQA (675 → 6), dsfa/page (674 → 5)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 08:24:01 +02:00
Benjamin Admin
34da9f4cda [split-required] Split 700-870 LOC files across all services
backend-lehrer (11 files):
- llm_gateway/routes/schools.py (867 → 5), recording_api.py (848 → 6)
- messenger_api.py (840 → 5), print_generator.py (824 → 5)
- unit_analytics_api.py (751 → 5), classroom/routes/context.py (726 → 4)
- llm_gateway/routes/edu_search_seeds.py (710 → 4)

klausur-service (12 files):
- ocr_labeling_api.py (845 → 4), metrics_db.py (833 → 4)
- legal_corpus_api.py (790 → 4), page_crop.py (758 → 3)
- mail/ai_service.py (747 → 4), github_crawler.py (767 → 3)
- trocr_service.py (730 → 4), full_compliance_pipeline.py (723 → 4)
- dsfa_rag_api.py (715 → 4), ocr_pipeline_auto.py (705 → 4)

website (6 pages):
- audit-checklist (867 → 8), content (806 → 6)
- screen-flow (790 → 4), scraper (789 → 5)
- zeugnisse (776 → 5), modules (745 → 4)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 08:01:18 +02:00
Benjamin Admin
b6983ab1dc [split-required] Split 500-1000 LOC files across all services
backend-lehrer (5 files):
- alerts_agent/db/repository.py (992 → 5), abitur_docs_api.py (956 → 3)
- teacher_dashboard_api.py (951 → 3), services/pdf_service.py (916 → 3)
- mail/mail_db.py (987 → 6)

klausur-service (5 files):
- legal_templates_ingestion.py (942 → 3), ocr_pipeline_postprocess.py (929 → 4)
- ocr_pipeline_words.py (876 → 3), ocr_pipeline_ocr_merge.py (616 → 2)
- KorrekturPage.tsx (956 → 6)

website (5 pages):
- mail (985 → 9), edu-search (958 → 8), mac-mini (950 → 7)
- ocr-labeling (946 → 7), audit-workspace (871 → 4)

studio-v2 (5 files + 1 deleted):
- page.tsx (946 → 5), MessagesContext.tsx (925 → 4)
- korrektur (914 → 6), worksheet-cleanup (899 → 6)
- useVocabWorksheet.ts (888 → 3)
- Deleted dead page-original.tsx (934 LOC)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-24 23:35:37 +02:00
Benjamin Admin
6811264756 [split-required] Split final batch of monoliths >1000 LOC
Python (6 files in klausur-service):
- rbac.py (1,132 → 4), admin_api.py (1,012 → 4)
- routes/eh.py (1,111 → 4), ocr_pipeline_geometry.py (1,105 → 5)

Python (2 files in backend-lehrer):
- unit_api.py (1,226 → 6), game_api.py (1,129 → 5)

Website (6 page files):
- 4x klausur-korrektur pages (1,249-1,328 LOC each) → shared components
  in website/components/klausur-korrektur/ (17 shared files)
- companion (1,057 → 10), magic-help (1,017 → 8)

All re-export barrels preserve backward compatibility.
Zero import errors verified.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-24 23:17:30 +02:00
Benjamin Admin
b2a0126f14 [split-required] Split remaining Python monoliths (Phase 1 continued)
klausur-service (7 monoliths):
- grid_editor_helpers.py (1,737 → 5 files: columns, filters, headers, zones)
- cv_cell_grid.py (1,675 → 7 files: build, legacy, streaming, merge, vocab)
- worksheet_editor_api.py (1,305 → 4 files: models, AI, reconstruct, routes)
- legal_corpus_ingestion.py (1,280 → 3 files: registry, chunking, ingestion)
- cv_review.py (1,248 → 4 files: pipeline, spell, LLM, barrel)
- cv_preprocessing.py (1,166 → 3 files: deskew, dewarp, barrel)
- rbac.py, admin_api.py, routes/eh.py remain (next batch)

backend-lehrer (1 monolith):
- classroom_engine/repository.py (1,705 → 7 files by domain)

All re-export barrels preserve backward compatibility.
Zero import errors verified.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-24 22:47:59 +02:00
Benjamin Admin
0b37c5e692 [split-required] Split website + studio-v2 monoliths (Phase 3 continued)
Website (14 monoliths split):
- compliance/page.tsx (1,519 → 9), docs/audit (1,262 → 20)
- quality (1,231 → 16), alerts (1,203 → 10), docs (1,202 → 11)
- i18n.ts (1,173 → 8 language files)
- unity-bridge (1,094 → 12), backlog (1,087 → 6)
- training (1,066 → 8), rag (1,063 → 8)
- Deleted index_original.ts (4,899 LOC dead backup)

Studio-v2 (5 monoliths split):
- meet/page.tsx (1,481 → 9), messages (1,166 → 9)
- AlertsB2BContext.tsx (1,165 → 5 modules)
- alerts-b2b/page.tsx (1,019 → 6), korrektur/archiv (1,001 → 6)

All existing imports preserved. Zero new TypeScript errors.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-24 17:52:36 +02:00
Benjamin Admin
b681ddb131 [split-required] Split 58 monoliths across Python, Go, TypeScript (Phases 1-3)
Phase 1 — Python (klausur-service): 5 monoliths → 36 files
- dsfa_corpus_ingestion.py (1,828 LOC → 5 files)
- cv_ocr_engines.py (2,102 LOC → 7 files)
- cv_layout.py (3,653 LOC → 10 files)
- vocab_worksheet_api.py (2,783 LOC → 8 files)
- grid_build_core.py (1,958 LOC → 6 files)

Phase 2 — Go (edu-search-service, school-service): 8 monoliths → 19 files
- staff_crawler.go (1,402 → 4), policy/store.go (1,168 → 3)
- policy_handlers.go (700 → 2), repository.go (684 → 2)
- search.go (592 → 2), ai_extraction_handlers.go (554 → 2)
- seed_data.go (591 → 2), grade_service.go (646 → 2)

Phase 3 — TypeScript (admin-lehrer): 45 monoliths → 220+ files
- sdk/types.ts (2,108 → 16 domain files)
- ai/rag/page.tsx (2,686 → 14 files)
- 22 page.tsx files split into _components/ + _hooks/
- 11 component files split into sub-components
- 10 SDK data catalogs added to loc-exceptions
- Deleted dead backup index_original.ts (4,899 LOC)

All original public APIs preserved via re-export facades.
Zero new errors: Python imports verified, Go builds clean,
TypeScript tsc --noEmit shows only pre-existing errors.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-24 17:28:57 +02:00
Benjamin Admin
9ba420fa91 Fix: Remove broken getKlausurApiUrl and clean up empty lines
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sed replacement left orphaned hostname references in story page
and empty lines in getApiBase functions.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-24 16:02:04 +02:00
Benjamin Admin
b07f802c24 Fix: Use Next.js API proxy to avoid mixed-content/CORS errors
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HTTPS pages cannot fetch from HTTP backend ports. Added Next.js
API route proxies for /api/vocabulary, /api/learning-units, /api/progress
that forward to backend-lehrer internally (same Docker network, HTTP).

All frontend pages now use same-origin requests (getApiBase = '')
instead of direct port:8001 connections.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-24 15:49:52 +02:00
Benjamin Admin
0dbfa87058 Fix: pg_trgm optional, table creation no longer fails without it
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Trigram extension and index are now created in a separate try/catch
so table creation succeeds even without pg_trgm. Search falls back
to ILIKE when trigram functions are not available.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-24 13:51:09 +02:00
Benjamin Admin
c0b723e3b5 Fix: asyncpg needs postgresql:// not postgresql+asyncpg://
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Strip SQLAlchemy dialect prefix from DATABASE_URL for asyncpg.
Set search_path via server_settings on pool creation.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-24 13:45:26 +02:00
Benjamin Admin
7ff9860c69 Add Vocabulary Learning Platform (Phase 1: DB + API + Editor)
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Strategic pivot: Studio-v2 becomes a language learning platform.
Compliance guardrail added to CLAUDE.md — no scan/OCR of third-party
content in customer frontend. Upload of OWN materials remains allowed.

Phase 1.1 — vocabulary_db.py: PostgreSQL model for 160k+ words
with english, german, IPA, syllables, examples, images, audio,
difficulty, tags, translations (multilingual). Trigram search index.

Phase 1.2 — vocabulary_api.py: Search, browse, filters, bulk import,
learning unit creation from word selection. Creates QA items with
enhanced fields (IPA, syllables, image, audio) for flashcards.

Phase 1.3 — /vocabulary page: Search bar with POS/difficulty filters,
word cards with audio buttons, unit builder sidebar. Teacher selects
words → creates learning unit → redirects to flashcards.

Sidebar: Added "Woerterbuch" (/vocabulary) and "Lernmodule" (/learn).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-24 13:36:28 +02:00
Benjamin Admin
7fc5464df7 Switch Vision-LLM Fusion to llama3.2-vision:11b
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qwen2.5vl:32b needs ~100GB RAM and crashes Ollama.
llama3.2-vision:11b is already installed and fits in memory.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-24 00:44:59 +02:00
Benjamin Admin
5fbf0f4ee2 Fix: _merge_paddle_tesseract takes 2 args not 4
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Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-24 00:33:49 +02:00
Benjamin Admin
2f8270f77b Add Vision-LLM OCR Fusion (Step 4) for degraded scans
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New module vision_ocr_fusion.py: Sends scan image + OCR word
coordinates + document type to Qwen2.5-VL 32B. The LLM reads
the image visually while using OCR positions as structural hints.

Key features:
- Document-type-aware prompts (Vokabelseite, Woerterbuch, etc.)
- OCR words grouped into lines with x/y coordinates in prompt
- Low-confidence words marked with (?) for LLM attention
- Continuation row merging instructions in prompt
- JSON response parsing with markdown code block handling
- Fallback to original OCR on any error

Frontend (admin-lehrer Grid Review):
- "Vision-LLM" checkbox toggle
- "Typ" dropdown (Vokabelseite, Woerterbuch, etc.)
- Steps 1-3 defaults set to inactive

Activate: Check "Vision-LLM", select document type, click "OCR neu + Grid".

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-24 00:24:22 +02:00
Benjamin Admin
00eb9f26f6 Add "OCR neu + Grid" button to Grid Review
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New endpoint POST /sessions/{id}/rerun-ocr-and-build-grid that:
1. Runs scan quality assessment
2. Applies CLAHE enhancement if degraded (controlled by enhance toggle)
3. Re-runs dual-engine OCR (RapidOCR + Tesseract) with min_conf filter
4. Merges OCR results and stores updated word_result
5. Builds grid with max_columns constraint

Frontend: Orange "OCR neu + Grid" button in GridToolbar.
Unlike "Neu berechnen" (which only rebuilds grid from existing words),
this button re-runs the full OCR pipeline with quality settings.

Now CLAHE toggle actually has an effect — it enhances the image
before OCR runs, not after.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-23 16:55:01 +02:00
Benjamin Admin
141f69ceaa Fix: max_columns now works in OCR Kombi build-grid pipeline
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The max_columns parameter was only implemented in cv_words_first.py
(vocab-worksheet path) but NOT in _build_grid_core which is what
the admin OCR Kombi pipeline uses. The Kombi pipeline uses
grid_editor_helpers._cluster_columns_by_alignment() which has its
own column detection.

Fix: Post-processing step 5k merges narrowest columns after grid
building when zone has more columns than max_columns. Cells from
merged columns get their text appended to the target column.

min_conf word filtering was already working (applied before grid build).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-23 16:40:39 +02:00
Benjamin Admin
2baad68060 Remove A/B testing toggles from studio-v2 (customer frontend)
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Dev-only toggles belong in admin-lehrer (port 3002) only.
The customer frontend runs the pipeline with optimal defaults
and shows only the finished results.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-23 16:18:44 +02:00
Benjamin Admin
25e5a7415a Add A/B testing toggles to OCR Kombi Grid Review
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Quality step toggles in admin-lehrer StepGridReview (port 3002):
- CLAHE checkbox (Step 3: image enhancement)
- MaxCol dropdown (Step 2: column limit, 0=off)
- MinConf dropdown (Step 1: OCR confidence, 0=auto)

Parameters flow through: StepGridReview → useGridEditor → build-grid
endpoint → _build_grid_core. MinConf filters words before grid building.

Toggle settings, click "Neu berechnen" to test each step individually.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-23 16:09:17 +02:00
Benjamin Admin
545c8676b0 Add A/B testing toggles for OCR quality steps
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Each quality improvement step can now be toggled independently:
- CLAHE checkbox (Step 3: image enhancement on/off)
- MaxCols dropdown (Step 2: 0=unlimited, 2-5)
- MinConf dropdown (Step 1: auto/20/30/40/50/60)

Backend: Query params enhance, max_cols, min_conf on process-single-page.
Response includes active_steps dict showing which steps are enabled.
Frontend: Toggle controls in VocabularyTab above the table.

This allows empirical A/B testing of each step on the same scan.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-23 15:27:26 +02:00
Benjamin Admin
2f34ee9ede Add scan quality scoring, column limit, image enhancement (Steps 1-3)
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Step 1: scan_quality.py — Laplacian blur + contrast scoring, adjusts
OCR confidence threshold (40 for good scans, 30 for degraded).
Quality report included in API response + shown in frontend.

Step 2: max_columns parameter in cv_words_first.py — limits column
detection to 3 for vocab tables, preventing phantom columns D/E
from degraded OCR fragments.

Step 3: ocr_image_enhance.py — CLAHE contrast + bilateral filter
denoising + unsharp mask, only for degraded scans (gated by
quality score). Pattern from handwriting_htr_api.py.

Frontend: quality info shown in extraction status after processing.
Reprocess button now derives pages from vocabulary data.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-23 14:58:39 +02:00
Benjamin Admin
5a154b744d fix: migrate ocr-pipeline types to ocr-kombi after page deletion
Types from deleted ocr-pipeline/types.ts inlined into ocr-kombi/types.ts.
All imports updated across components/ocr-kombi/ and components/ocr-pipeline/.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-23 14:22:09 +02:00
Benjamin Admin
f39cbe9283 refactor: remove unused pages and backends (model-management, OCR legacy, GPU/vast.ai, video-chat, matrix)
Deleted pages:
- /ai/model-management (mock data only, no real backend)
- /ai/ocr-compare (old /vocab/ backend, replaced by ocr-kombi)
- /ai/ocr-pipeline (minimal session browser, redundant)
- /ai/ocr-overlay (legacy monolith, redundant)
- /ai/gpu (vast.ai GPU management, no longer used)
- /infrastructure/gpu (same)
- /communication/video-chat (moved to core)
- /communication/matrix (moved to core)

Deleted backends:
- backend-lehrer/infra/vast_client.py + vast_power.py
- backend-lehrer/meetings_api.py + jitsi_api.py
- website/app/api/admin/gpu/
- edu-search-service/scripts/vast_ai_extractor.py

Total: ~7,800 LOC removed. All code preserved in git history.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-23 13:14:12 +02:00
Benjamin Admin
5abdfa202e chore: install refactoring guardrails (Phase 0) [guardrail-change]
- scripts/check-loc.sh: LOC budget checker (500 LOC hard cap)
- .claude/rules/architecture.md: split triggers, patterns per language
- .claude/rules/loc-exceptions.txt: documented escape hatches
- AGENTS.python.md: FastAPI conventions (routes thin, service layer)
- AGENTS.go.md: Go/Gin conventions (handler ≤40 LOC)
- AGENTS.typescript.md: Next.js conventions (page.tsx ≤250 LOC, colocation)
- CLAUDE.md extended with guardrail section + commit markers

273 files currently exceed 500 LOC — to be addressed phase by phase.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-23 12:25:36 +02:00
Benjamin Admin
9b0e310978 Fix: reprocess button works after session resume + apply merge logic
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Two bugs fixed:
1. reprocessPages() failed silently after session resume because
   successfulPages was empty. Now derives pages from vocabulary
   source_page or selectedPages as fallback.

2. process-single-page endpoint built vocabulary entries WITHOUT
   applying merge logic (_merge_wrapped_rows, _merge_continuation_rows).
   Now applies full merge pipeline after vocabulary extraction.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-17 00:46:15 +02:00
Benjamin Admin
46c2acb2f4 Add "Neu verarbeiten" button to VocabularyTab
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Allows reprocessing pages from the vocabulary view to apply
new merge logic without navigating back to page selection.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 08:37:13 +02:00
Benjamin Admin
b8f1b71652 Fix: merge cell-wrap continuation rows in vocabulary extraction
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When textbook authors wrap text within a cell (e.g. long German
translations), OCR treats each physical line as a separate row.
New _merge_wrapped_rows() detects this by checking if the primary
column (EN) is empty — indicating a continuation, not a new entry.

Handles: empty EN + DE text, empty EN + example text, parenthetical
continuations like "(bei)", triple wraps, comma-separated lists.

12 tests added covering all cases.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 08:32:45 +02:00
Benjamin Admin
6a165b36e5 Add Phase 5.1: LearningProgress dashboard widget
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Eltern-Dashboard widget showing per-unit learning stats:
accuracy ring, coins, crowns, streak, and recent unit list.
Uses ProgressRing and CrownBadge gamification components.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 07:26:44 +02:00
Benjamin Admin
9dddd80d7a Add Phases 3.2-4.3: STT, stories, syllables, gamification
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Phase 3.2 — MicrophoneInput.tsx: Browser Web Speech API for
speech-to-text recognition (EN+DE), integrated for pronunciation practice.

Phase 4.1 — Story Generator: LLM-powered mini-stories using vocabulary
words, with highlighted vocab in HTML output. Backend endpoint
POST /learning-units/{id}/generate-story + frontend /learn/[unitId]/story.

Phase 4.2 — SyllableBow.tsx: SVG arc component for syllable visualization
under words, clickable for per-syllable TTS.

Phase 4.3 — Gamification system:
- CoinAnimation.tsx: Floating coin rewards with accumulator
- CrownBadge.tsx: Crown/medal display for milestones
- ProgressRing.tsx: Circular progress indicator
- progress_api.py: Backend tracking coins, crowns, streaks per unit

Also adds "Geschichte" exercise type button to UnitCard.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 07:22:52 +02:00
Benjamin Admin
20a0585eb1 Add interactive learning modules MVP (Phases 1-3.1)
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New feature: After OCR vocabulary extraction, users can generate interactive
learning modules (flashcards, quiz, type trainer) with one click.

Frontend (studio-v2):
- Fortune Sheet spreadsheet editor tab in vocab-worksheet
- "Lernmodule generieren" button in ExportTab
- /learn page with unit overview and exercise type cards
- /learn/[unitId]/flashcards — Flip-card trainer with Leitner spaced repetition
- /learn/[unitId]/quiz — Multiple choice quiz with explanations
- /learn/[unitId]/type — Type-in trainer with Levenshtein distance feedback
- AudioButton component using Web Speech API for EN+DE TTS

Backend (klausur-service):
- vocab_learn_bridge.py: Converts VocabularyEntry[] to analysis_data format
- POST /sessions/{id}/generate-learning-unit endpoint

Backend (backend-lehrer):
- generate-qa, generate-mc, generate-cloze endpoints on learning units
- get-qa/mc/cloze data retrieval endpoints
- Leitner progress update + next review items endpoints

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 07:13:23 +02:00
Benjamin Admin
4561320e0d Fix SmartSpellChecker: preserve leading non-alpha text like (=
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The tokenizer regex only matches alphabetic characters, so text
before the first word match (like "(= " in "(= I won...") was
silently dropped when reassembling the corrected text.

Now preserves text[:first_match_start] as a leading prefix.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 23:41:33 +02:00
Benjamin Admin
596864431b Rule (a2): switch from allow-list to block-list for symbol removal
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Instead of keeping only specific symbols (_KEEP_SYMBOLS), now only
removes explicitly decorative symbols (_REMOVE_SYMBOLS: > < ~ \ ^ etc).
All other punctuation (= ( ) ; : - etc.) is preserved by default.

This is more robust: any new symbol used in textbooks will be kept
unless it's in the small block-list of known decorative artifacts.

Fixes: (= token still being removed on page 5 despite being in
the allow-list (possibly due to Unicode variants or whitespace).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 23:34:21 +02:00
Benjamin Admin
c8027eb7f9 Fix: preserve = ; : - and other meaningful symbols in word_boxes
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Rule (a2) in Step 5i removed word_boxes with no letters/digits as
"graphic OCR artifacts". This incorrectly removed = signs used as
definition markers in textbooks ("film = 1. Film; 2. filmen").

Added exception list _KEEP_SYMBOLS for meaningful punctuation:
= (= =) ; : - – — / + • · ( ) & * → ← ↔

The root cause: PaddleOCR returns "film = 1. Film; 2. filmen" as one
block, which gets split into word_boxes ["film", "=", "1.", ...].
The "=" word_box had no alphanumeric chars and was removed as artifact.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 23:18:35 +02:00
Benjamin Admin
ba0f659d1e Preserve = and (= tokens in grid build and cell text cleanup
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= signs are used as definition markers in textbooks ("film = 1. Film").
They were incorrectly removed by two filters:

1. grid_build_core.py Step 5j-pre: _PURE_JUNK_RE matched "=" as
   artifact noise. Now exempts =, (=, ;, :, - and similar meaningful
   punctuation tokens.

2. cv_ocr_engines.py _is_noise_tail_token: "pure non-alpha" check
   removed trailing = tokens. Now exempts meaningful punctuation.

Fixes: "film = 1. Film; 2. filmen" losing the = sign,
       "(= I won and he lost.)" losing the (=.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 23:04:27 +02:00
Benjamin Admin
50bfd6e902 Fix gutter repair: don't suggest corrections for words with parentheses
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Words like "probieren)" or "Englisch)" were incorrectly flagged as
gutter OCR errors because the closing parenthesis wasn't stripped
before dictionary lookup. The spellchecker then suggested "probierend"
(replacing ) with d, edit distance 1).

Two fixes:
1. Strip trailing/leading parentheses in _try_spell_fix before checking
   if the bare word is valid — skip correction if it is
2. Add )( to the rstrip characters in the analysis phase so
   "probieren)" becomes "probieren" for the known-word check

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 22:38:22 +02:00
Benjamin Admin
0599c72cc1 Fix IPA continuation: don't replace normal text with IPA
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Text like "Betonung auf der 1. Silbe: profit ['profit]" was
incorrectly detected as garbled IPA and replaced with generated
IPA transcription of the previous row's example sentence.

Added guard: if the cell text contains >=3 recognizable words
(3+ letter alpha tokens), it's normal text, not garbled IPA.
Garbled IPA is typically short and has no real dictionary words.

Fixes: Row 13 C3 showing IPA instead of pronunciation hint text.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 22:28:58 +02:00
Benjamin Admin
5fad2d420d test+docs(rag): Tests und Entwicklerdoku fuer RAG Landkarte
- 44 Vitest-Tests: JSON-Struktur, Branchen-Zuordnung, Applicability
  Notes, Dokumenttyp-Verteilung, keine Duplikate
- MkDocs-Seite: Architektur, 10 Branchen, Zuordnungslogik,
  Integration in andere Projekte, Datenquellen

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 20:47:54 +02:00
Benjamin Admin
c8e5e498b5 feat(rag): Applicability Notes UI + Branchen-Review
- Matrix-Zeilen aufklappbar: Klick zeigt Branchenrelevanz-Erklaerung,
  Beschreibung und Gueltigkeitsdatum
- 27 Branchen-Zuordnungen korrigiert:
  - OWASP/NIST/CISA/SBOM-Standards → alle (Kunden entwickeln Software)
  - BSI-TR-03161 → leer (DiGA, nicht Zielmarkt)
  - BSI 200-4, ENISA Supply Chain → alle (CRA/NIS2-Pflicht)
  - EAA/BFSG → +automotive (digitale Interfaces)
- 264 horizontal, 42 sektorspezifisch, 14 nicht zutreffend

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 19:15:01 +02:00
Benjamin Admin
261f686dac Add OCR Pipeline Extensions developer docs + update vocab-worksheet docs
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New: .claude/rules/ocr-pipeline-extensions.md
- Complete documentation for SmartSpellChecker, Box-Grid-Review (Step 11),
  Ansicht/Spreadsheet (Step 12), Unified Grid
- All 14 pipeline steps listed
- Backend/frontend file structure with line counts
- 66 tests documented
- API endpoints, data flow, formatting rules

Updated: .claude/rules/vocab-worksheet.md
- Added Frontend Refactoring section (page.tsx → 14 files)
- Updated format extension instructions (constants.ts instead of page.tsx)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 18:35:16 +02:00
Benjamin Admin
3d3c2b30db Add tests for unified_grid and cv_box_layout
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test_unified_grid.py (10 tests):
- Dominant row height calculation (regular, gaps filtered, single row)
- Box classification (full-width, partial left/right, text line count)
- Unified grid building (content-only, box integration, cell tagging)

test_box_layout.py (13 tests):
- Layout classification (header_only, flowing, bullet_list)
- Line grouping by y-proximity
- Flowing layout indent grouping (bullet + continuations → \n)
- Row/column field completeness for GridTable compatibility

Total: 66 tests passing (43 smart_spell + 13 box_layout + 10 unified)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 18:18:52 +02:00
Benjamin Admin
1d22f649ae fix(rag): Branchen auf 10 VDMA/VDA/BDI-Sektoren korrigiert
Alte 17 "Branchen" (inkl. IoT, KI, HR, KRITIS) durch 10 echte
Industriesektoren ersetzt: Automotive, Maschinenbau, Elektrotechnik,
Chemie, Metall, Energie, Transport, Handel, Konsumgueter, Bau.

Zuordnungslogik: 244 horizontal (alle), 65 sektorspezifisch,
11 nicht zutreffend (Finanz/Medizin/Plattformen).
102 applicability_notes mit Begruendung pro Regulierung.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 17:56:28 +02:00
Benjamin Admin
610825ac14 SpreadsheetView: add bullet marker (•) for multi-line cells
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Multi-line cells (containing \n) that don't already start with a
bullet character get • prepended in the frontend. This ensures
bullet points are visible regardless of whether the backend inserted
them (depends on when boxes were last rebuilt).

Skips header rows and cells that already have •, -, or – prefix.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 17:53:54 +02:00
Benjamin Admin
6aec4742e5 SpreadsheetView: keep bullets as single cells with text-wrap
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Revert row expansion — multi-line bullet cells stay as single cells
with \n and text-wrap (tb='2'). This way the text reflows when the
user resizes the column, like normal Excel behavior.

Row height auto-scales by line count (24px * lines).
Vertical alignment: top (vt=0) for multi-line cells.
Removed leading-space indentation hack (didn't work reliably).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 17:07:07 +02:00
Benjamin Admin
0491c2eb84 feat(rag): dynamische Branchen-Regulierungs-Matrix aus JSON
Hardcodierte REGULATIONS/INDUSTRIES/INDUSTRY_REGULATION_MAP durch
JSON-Import ersetzt. 320 Dokumente in 17 Kategorien mit collapsible
Sektionen pro doc_type. page.tsx von 3672 auf 2655 Zeilen reduziert.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 17:01:51 +02:00
Benjamin Admin
f2bc62b4f5 SpreadsheetView: bullet indentation, expanded rows, box borders
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Multi-line cells (\n): expanded into separate rows so each line gets
its own cell. Continuation lines (after •) indented with leading spaces.
Bullet marker lines (•) are bold.

Font-size detection: cells with word_box height >1.3x median get bold
and larger font (fs=12) for box titles.

Headers: is_header rows always bold with light background tint.

Box borders: thick colored outside border + thin inner grid lines.
Content zone: light gray grid borders.

Auto-fit column widths from longest text per column.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 16:15:43 +02:00
Benjamin Admin
674c9e949e SpreadsheetView: auto-fit column widths to longest text
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Column widths now calculated from the longest text in each column
(~7.5px per character + padding). Takes the maximum of auto-fit
width and scaled original pixel width.

Multi-line cells: uses the longest line for width calculation.
Spanning header cells excluded from width calculation (they span
multiple columns and would inflate single-column widths).

Minimum column width: 60px.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 09:43:50 +02:00
Benjamin Admin
e131aa719e SpreadsheetView: formatting improvements for Excel-like display
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Height: sheet height auto-calculated from row count (26px/row + toolbar),
no more cutoff at 21 rows. Row count set to exact (no padding).

Box borders: thick colored outside border + thin inner grid lines.
Content zone: light gray grid lines on all cells.

Headers: bold (bl=1) for is_header rows. Larger font detected via
word_box height comparison (>1.3x median → fs=12 + bold).

Box cells: light tinted background from box_bg_hex.
Header cells in boxes: slightly stronger tint.

Multi-line cells: text wrap enabled (tb='2'), \n preserved.
Bullet points (•) and indentation preserved in cell text.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 09:29:50 +02:00
Benjamin Admin
17f0fdb2ed Refactor: extract _build_grid_core into grid_build_core.py + clean StepAnsicht
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grid_editor_api.py: 2411 → 474 lines
- Extracted _build_grid_core() (1892 lines) into grid_build_core.py
- API file now only contains endpoints (build, save, get, gutter, box, unified)

StepAnsicht.tsx: 212 → 112 lines
- Removed useGridEditor imports (not needed for read-only spreadsheet)
- Removed unified grid fetch/build (not used with multi-sheet approach)
- Removed Spreadsheet/Grid toggle (only spreadsheet mode now)
- Simple: fetch grid-editor data → pass to SpreadsheetView

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 08:54:55 +02:00
Benjamin Admin
d4353d76fb SpreadsheetView: multi-sheet tabs instead of unified single sheet
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Each zone becomes its own Excel sheet tab with independent column widths:
- Sheet "Vokabeln": main content zone with EN/DE/example columns
- Sheet "Pounds and euros": Box 1 with its own 4-column layout
- Sheet "German leihen": Box 2 with single column for flowing text

This solves the column-width conflict: boxes have different column
widths optimized for their content, which is impossible in a single
unified sheet (Excel limitation: column width is per-column, not per-cell).

Sheet tabs visible at bottom (showSheetTabs: true).
Box sheets get colored tab (from box_bg_hex).
First sheet active by default.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 00:51:21 +02:00
Benjamin Admin
b42f394833 Integrate Fortune Sheet spreadsheet editor in StepAnsicht
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Install @fortune-sheet/react (MIT, v1.0.4) as Excel-like spreadsheet
component. New SpreadsheetView.tsx converts unified grid data to
Fortune Sheet format (celldata, merge config, column/row sizes).

StepAnsicht now has Spreadsheet/Grid toggle:
- Spreadsheet mode: full Fortune Sheet with toolbar (bold, italic,
  color, borders, merge cells, text wrap, undo/redo)
- Grid mode: existing GridTable for quick editing

Box-origin cells get light tinted background in spreadsheet view.
Colspan cells converted to Fortune Sheet merge format.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 00:08:03 +02:00
Benjamin Admin
c1a903537b Unified Grid: merge all zones into single Excel-like grid
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Backend (unified_grid.py):
- build_unified_grid(): merges content + box zones into one zone
- Dominant row height from median of content row spacings
- Full-width boxes: rows integrated directly
- Partial-width boxes: extra rows inserted when box has more text
  lines than standard rows fit (e.g., 7 lines in 5-row height)
- Box-origin cells tagged with source_zone_type + box_region metadata

Backend (grid_editor_api.py):
- POST /sessions/{id}/build-unified-grid → persists as unified_grid_result
- GET /sessions/{id}/unified-grid → retrieve persisted result

Frontend:
- GridEditorCell: added source_zone_type, box_region fields
- GridTable: box-origin cells get tinted background + left border
- StepAnsicht: split-view with original image (left) + editable
  unified GridTable (right). Auto-builds on first load.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 23:37:55 +02:00
Benjamin Admin
7085c87618 StepAnsicht: dominant row height for content + proportional box rows
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Content sections: use dominant (median) row height from all content
rows instead of per-section average. This ensures uniform row height
above and below boxes (the standard case on textbook pages).

Box sections: distribute height proportionally by text line count
per row. A header (1 line) gets 1/7 of box height, a bullet with
3 lines gets 3/7. Fixes Box 2 where row 3 was cut off because
even distribution didn't account for multi-line cells.

Removed overflow:hidden from box container to prevent clipping.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 17:43:02 +02:00
Benjamin Admin
1b7e095176 StepAnsicht: fix row filtering for partial-width boxes
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Content rows were incorrectly filtered out when their Y overlapped
with a box, even if the box only covered the right half of the page.
Now checks both Y AND X overlap — rows are only excluded if they
start within the box's horizontal range.

Fixes: rows next to Box 2 (lend, coconut, taste) were missing from
reconstruction because Box 2 (x=871, w=525) only covers the right
side, but left-side content rows at x≈148 were being filtered.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 17:00:28 +02:00
Benjamin Admin
dcb873db35 StepAnsicht: section-based layout with averaged row heights
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Major rewrite of reconstruction rendering:
- Page split into vertical sections (content/box) around box boundaries
- Content sections: uniform row height = (last_row - first_row) / (n-1)
- Box sections: rows evenly distributed within box height
- Content rows positioned absolutely at original y-coordinates
- Font size derived from row height (55% of row height)
- Multi-line cells (bullets) get expanded height with indentation
- Boxes render at exact bbox position with colored border
- Preparation for unified grid where boxes become part of main grid

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 15:29:40 +02:00
Benjamin Admin
fd39d13d06 StepAnsicht: use server-rendered OCR overlay image
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Replace manual word_box positioning (wild/unsnapped) with the
server-rendered words-overlay image from the OCR step endpoint.
This shows the same cleanly snapped red letters as the OCR step.

Endpoint: /sessions/{id}/image/words-overlay

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 23:26:54 +02:00
Benjamin Admin
c5733a171b StepAnsicht: fix font size and row spacing to match original
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- Font: use font_size_suggestion_px * scale directly (removed 0.85 factor)
- Row height: calculate from row-to-row spacing (y_min of next row
  minus y_min of current row) instead of text height (y_max - y_min).
  This produces correct line spacing matching the original layout.
- Multi-line cells: height multiplied by line count

Content zone should now span from ~250 to ~2050 matching the original.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 23:24:27 +02:00
Benjamin Admin
18213f0bde StepAnsicht: split-view with coordinate grid for comparison
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Left panel: Original scan + OCR word overlay (red text at exact
word_box positions) + coordinate grid
Right panel: Reconstructed layout + same coordinate grid

Features:
- Coordinate grid toggle with 50/100/200px spacing options
- Grid lines labeled with pixel coordinates in original image space
- Both panels share the same scale for direct visual comparison
- OCR overlay shows detected text in red mono font at original positions

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 23:00:22 +02:00
Benjamin Admin
cd8eb6ce46 Add Ansicht step (Step 12) — read-only page layout preview
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New pipeline step showing the reconstructed page with all zones
positioned at their original coordinates:
- Content zones with vocabulary grid cells
- Box zones with colored borders (from structure detection)
- Colspan cells rendered across multiple columns
- Multi-line cells (bullets) with pre-wrap whitespace
- Toggle to overlay original scan image at 15% opacity
- Proportionally scaled to viewport width
- Pure CSS positioning (no canvas/Fabric.js)

Pipeline: 14 steps (0-13), Ground Truth moved to Step 13.
Added colspan field to GridEditorCell type.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 22:42:33 +02:00
Benjamin Admin
2c2bdf903a Fix GridTable: replace ternary chain with IIFE for cell rendering
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Chained ternary (colored ? div : multiline ? textarea : input) caused
webpack SWC parser issues. Replaced with IIFE {(() => { if/return })()}
which is more robust and readable.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 18:10:22 +02:00
Benjamin Admin
947ff6bdcb Fix JSX ternary nesting for textarea/input in GridTable
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Remove extra curly braces around the textarea/input ternary that
caused webpack syntax error. The ternary is now a chained condition:
hasColoredWords ? <div> : text.includes('\n') ? <textarea> : <input>

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 18:02:22 +02:00
Benjamin Admin
92e4021898 Fix GridTable JSX syntax error in colspan rendering
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Mismatched closing tags from previous colspan edit caused webpack
build failure. Cleaned up spanning cell map() return structure.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 17:52:26 +02:00
Benjamin Admin
108f1b1a2a GridTable: render multi-line cells with textarea
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Cells containing \n (bullet items with continuation lines) now use
<textarea> instead of <input type=text>, making all lines visible.
Row height auto-expands based on line count in the cell.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 17:17:29 +02:00
Benjamin Admin
48de4d98cd Fix infinite loop in StepBoxGridReview auto-build
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Auto-build was triggering on every grid.zones.length change, which
happens on every rebuild (zone indices increment). Now uses a ref
to ensure auto-build fires only once. Also removed boxZones.length===0
condition that could trigger unnecessary builds.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 17:06:11 +02:00
Benjamin Admin
b5900f1aff Bullet indentation detection: group continuation lines into bullets
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Flowing/bullet_list layout now analyzes left-edge indentation:
- Lines at minimum indent = bullet start / main level
- Lines indented >15px more = continuation (belongs to previous bullet)
- Continuation lines merged with \n into parent bullet cell
- Missing bullet markers (•) auto-added when pattern is clear

Example: 7 OCR lines → 3 items (1 header + 2 bullets × 3 lines each)
"German leihen" header, then two bullet groups with indented examples.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 16:57:16 +02:00
Benjamin Admin
baac98f837 Filter false-positive boxes in header/footer margins
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Boxes whose vertical center falls within top/bottom 7% of image
height are filtered out (page numbers, unit headers, running footers).
At typical scan resolutions, 7% ≈ 2.5cm margin.

Fixes: "Box 1" containing just "3" from "Unit 3" page header being
incorrectly treated as an embedded box.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 14:38:53 +02:00
Benjamin Admin
496d34d822 Fix box empty rows: add x_min_px/x_max_px to flowing/header columns
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GridTable calculates column widths from col.x_max_px - col.x_min_px.
Flowing and header_only layouts were missing these fields, producing
NaN widths which collapsed the CSS grid layout and showed empty rows
with only row numbers visible.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 13:01:11 +02:00
Benjamin Admin
709e41e050 GridTable: support partial colspan (2-of-4 columns)
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Previously GridTable only supported full-row spanning (one cell across
all columns). Now renders each spanning_header cell with its actual
colspan, positioned at the correct grid column. This allows rows like
"In Britain..." (colspan=2) + "In Germany..." (colspan=2) to render
side by side instead of only showing the first cell.

Also fix box row fields: is_header always set (was undefined for
flowing/bullet_list), y_min_px/y_max_px for header_only rows.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 12:47:14 +02:00
Benjamin Admin
7b3e8c576d Fix NameError: span_cells removed but still referenced in log
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Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 12:20:11 +02:00
Benjamin Admin
868f99f109 Fix colspan text + box row fields for GridTable compatibility
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Colspan: use original word-block text instead of split cell texts.
Prevents "euros a nd cents" from split_cross_column_words.

Box rows: add is_header field (was undefined, causing GridTable
rendering issues). Add y_min_px/y_max_px to header_only rows.
These missing fields caused empty rows with only row numbers visible.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 12:08:49 +02:00
Benjamin Admin
dc25f243a4 Fix colspan: use original words before split_cross_column_words
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_split_cross_column_words was destroying the colspan information by
cutting word-blocks at column boundaries BEFORE _detect_colspan_cells
could analyze them. Now passes original (pre-split) words to colspan
detection while using split words for cell building.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 11:58:32 +02:00
Benjamin Admin
c62ff7cd31 Generic colspan detection for merged cells in grids and boxes
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New _detect_colspan_cells() in grid_editor_helpers.py:
- Runs after _build_cells() for every zone (content + box)
- Detects word-blocks that extend across column boundaries
- Merges affected cells into spanning_header with colspan=N
- Uses column midpoints to determine which columns are covered
- Works for full-page scans and box zones equally

Also fixes box flowing/bullet_list row height fields (y_min_px/y_max_px).

Removed duplicate spanning logic from cv_box_layout.py — now uses
the generic _detect_colspan_cells from grid_editor_helpers.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 11:38:03 +02:00
Benjamin Admin
5d91698c3b Fix box grid: row height fields + spanning cell detection
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Box 3 empty rows: flowing/bullet_list rows were missing y_min_px/
y_max_px fields that GridTable uses for row height calculation.
Added _px and _pct variants.

Box 2 spanning cells: rows with fewer word-blocks than columns
(e.g., "In Britain..." spanning 2 columns) are now detected and
merged into spanning_header cells. GridTable already renders
spanning_header cells across the full row width.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 09:46:43 +02:00
Benjamin Admin
5fa5767c9a Fix box column detection: use low gap_threshold for small zones
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PaddleOCR returns multi-word blocks (whole phrases), so ALL inter-word
gaps in small zones (boxes, ≤60 words) are column boundaries. Previous
3x-median approach produced thresholds too high to detect real columns.

New approach for small zones: gap_threshold = max(median_h * 1.0, 25).
This correctly detects 4 columns in "Pounds and euros" box where gaps
range from 50-297px and word height is ~31px.

Also includes SmartSpellChecker fixes from previous commits:
- Frequency-based scoring, IPA protection, slash→l, rare-word threshold

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 07:55:29 +02:00
Benjamin Admin
693803fb7c SmartSpellChecker: frequency scoring, IPA protection, slash→l fix
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Major improvements:
- Frequency-based boundary repair: always tries repair, uses word
  frequency product to decide (Pound sand→Pounds and: 2000x better)
- IPA bracket protection: words inside [brackets] are never modified,
  even when brackets land in tokenizer separators
- Slash→l substitution: "p/" → "pl" for italic l misread as slash
- Abbreviation guard uses rare-word threshold (freq < 1e-6) instead
  of binary known/unknown — prevents "Can I" → "Ca nI" while still
  fixing "ats th." → "at sth."
- Tokenizer includes / character for slash-word detection

43 tests passing.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 07:36:39 +02:00
Benjamin Admin
31089df36f SmartSpellChecker: frequency-based boundary repair for valid word pairs
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Previously, boundary repair was skipped when both words were valid
dictionary words (e.g., "Pound sand", "wit hit", "done euro").
Now uses word-frequency scoring (product of bigram frequencies) to
decide if the repair produces a more common word pair.

Threshold: repair accepted when new pair is >5x more frequent, or
when repair produces a known abbreviation.

New fixes: Pound sand→Pounds and (2000x), wit hit→with it (100000x),
done euro→one euro (7x).

43 tests passing.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 07:00:22 +02:00
Benjamin Admin
7b294f9150 Cap gap_threshold at 25% of zone_w for column detection
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In small zones (boxes), intra-phrase gaps inflate the median gap,
causing gap_threshold to become too large to detect real column
boundaries. Cap at 25% of zone width to prevent this.

Example: Box "Pounds and euros" has 4 columns at x≈148,534,751,1137
but gap_threshold was 531 (larger than the column gaps themselves).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 23:58:15 +02:00
Benjamin Admin
8b29d20940 StepBoxGridReview: show box border color from structure detection
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- Use box_bg_hex for border color (from Step 7 structure detection)
- Numbered color badges per box
- Show color name in box header
- Add box_bg_color/box_bg_hex to GridZone type

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 23:18:36 +02:00
Benjamin Admin
12b194ad1a Fix StepBoxGridReview: match GridTable props interface
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GridTable expects zone (singular), onSelectCell, onCellTextChange,
onToggleColumnBold, onToggleRowHeader, onNavigate — not the
incorrect prop names from the first version.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 22:39:38 +02:00
Benjamin Admin
058eadb0e4 Fix build-box-grids: use structure_result boxes + raw OCR words
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- Source boxes from structure_result (Step 7) instead of grid zones
- Use raw_paddle_words (top/left/width/height) instead of grid cells
- Create new box zones from all detected boxes (not just existing zones)
- Sort zones by y-position for correct reading order
- Include box background color metadata

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 21:50:28 +02:00
Benjamin Admin
5da9a550bf Add Box-Grid-Review step (Step 11) to OCR pipeline
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New pipeline step between Gutter Repair and Ground Truth that processes
embedded boxes (grammar tips, exercises) independently from the main grid.

Backend:
- cv_box_layout.py: classify_box_layout() detects flowing/columnar/
  bullet_list/header_only layout types per box
- build_box_zone_grid(): layout-aware grid building (single-column for
  flowing text, independent columns for tabular content)
- POST /sessions/{id}/build-box-grids endpoint with SmartSpellChecker
- Layout type overridable per box via request body

Frontend:
- StepBoxGridReview.tsx: shows each box with cropped image + editable
  GridTable. Layout type dropdown per box. Auto-builds on first load.
- Auto-skip when no boxes detected on page
- Pipeline steps updated: 13 steps (0-12), Ground Truth moved to 12

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 17:26:06 +02:00
Benjamin Admin
52637778b9 SmartSpellChecker: boundary repair + context split + abbreviation awareness
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New features:
- Boundary repair: "ats th." → "at sth." (shifted OCR word boundaries)
  Tries shifting 1-2 chars between adjacent words, accepts if result
  includes a known abbreviation or produces better dictionary matches
- Context split: "anew book" → "a new book" (ambiguous word merges)
  Explicit allow/deny list for article+word patterns (alive, alone, etc.)
- Abbreviation awareness: 120+ known abbreviations (sth, sb, adj, etc.)
  are now recognized as valid words, preventing false corrections
- Quality gate: boundary repairs only accepted when result scores
  higher than original (known words + abbreviations)

40 tests passing, all edge cases covered.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 15:41:17 +02:00
Benjamin Admin
f6372b8c69 Integrate SmartSpellChecker into build-grid finalization
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SmartSpellChecker now runs during grid build (not just LLM review),
so corrections are visible immediately in the grid editor.

Language detection per column:
- EN column detected via IPA signals (existing logic)
- All other columns assumed German for vocab tables
- Auto-detection for single/two-column layouts

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 14:54:01 +02:00
Benjamin Admin
909d0729f6 Add SmartSpellChecker + refactor vocab-worksheet page.tsx
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SmartSpellChecker (klausur-service):
- Language-aware OCR post-correction without LLMs
- Dual-dictionary heuristic for EN/DE language detection
- Context-based a/I disambiguation via bigram lookup
- Multi-digit substitution (sch00l→school)
- Cross-language guard (don't false-correct DE words in EN column)
- Umlaut correction (Schuler→Schüler, uber→über)
- Integrated into spell_review_entries_sync() pipeline
- 31 tests, 9ms/100 corrections

Vocab-worksheet refactoring (studio-v2):
- Split 2337-line page.tsx into 14 files
- Custom hook useVocabWorksheet.ts (all state + logic)
- 9 components in components/ directory
- types.ts, constants.ts for shared definitions

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 12:25:01 +02:00
Benjamin Admin
04fa01661c Move IPA/syllable toggles to vocabulary tab toolbar
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Dropdowns are now in the vocabulary table header (after processing),
not in the worksheet settings (before processing). Changing a mode
automatically reprocesses all successful pages with the new settings.
Same dropdown options as the OCR pipeline grid editor.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 10:17:14 +02:00
Benjamin Admin
bf9d24e108 Replace IPA/syllable checkboxes with full dropdowns in vocab-worksheet
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Vocab worksheet now has the same IPA/syllable mode options as the
OCR pipeline grid editor: Auto, nur EN, nur DE, Alle, Aus.
Previously only had on/off checkboxes mapping to auto/none.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 10:10:22 +02:00
Benjamin Admin
0f17eb3cd9 Fix IPA:Aus — strip all brackets before skipping IPA block
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When ipa_mode=none, the entire IPA processing block was skipped,
including the bracket-stripping logic. Now strips ALL square brackets
from content columns BEFORE the skip, so IPA:Aus actually removes
all IPA from the display.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 10:05:22 +02:00
Benjamin Admin
5244e10728 Fix IPA/syllable race condition: loadGrid no longer depends on buildGrid
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loadGrid depended on buildGrid (for 404 fallback), which depended on
ipaMode/syllableMode. Every mode change created a new loadGrid ref,
triggering StepGridReview's useEffect to load the OLD saved grid,
overwriting the freshly rebuilt one.

Now loadGrid only depends on sessionId. The 404 fallback builds inline
with current modes. Mode changes are handled exclusively by the
separate rebuild useEffect.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 09:59:49 +02:00
Benjamin Admin
a6c5f56003 Fix IPA strip: match all square brackets, not just Unicode IPA
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OCR text contains ASCII IPA approximations like [kompa'tifn] instead
of Unicode [kˈɒmpətɪʃən]. The strip regex required Unicode IPA chars
inside brackets and missed the ASCII ones. Now strips all [bracket]
content from excluded columns since square brackets in vocab columns
are always IPA.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 09:53:16 +02:00
Benjamin Admin
584e07eb21 Strip English IPA when mode excludes EN (nur DE / Aus)
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English IPA from the original OCR scan (e.g. [ˈgrænˌdæd]) was always
shown because fix_cell_phonetics only ADDS/CORRECTS but never removes.
Now strips IPA brackets containing Unicode IPA chars from the EN column
when ipa_mode is "de" or "none".

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 09:49:22 +02:00
Benjamin Admin
54b1c7d7d7 Fix IPA/syllable first-click not working (off-by-one in initialLoadDone)
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The old guard checked if grid was loaded AND set initialLoadDone in
the same pass, then returned without rebuilding. This meant the first
user-triggered mode change was always swallowed.

Simplified to a mount-skip ref: skip exactly the first useEffect trigger
(component mount), rebuild on every subsequent trigger (user changes).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 09:40:57 +02:00
Benjamin Admin
d8a2331038 Fix IPA/syllable mode change requiring double-click
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The useEffect for mode changes called buildGrid() which was a
useCallback closing over stale ipaMode/syllableMode values due to
React's asynchronous state batching. The first click triggered a
rebuild with the OLD mode; only the second click used the new one.

Now inlines the API call directly in the useEffect, reading ipaMode
and syllableMode from the effect's closure which always has the
current values.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 09:32:02 +02:00
Benjamin Admin
ad78e26143 Fix word-split: handle IPA brackets, contractions, and tiebreaker
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1. Strip IPA brackets [ipa] before attempting word split, so
   "makeadecision[dɪsˈɪʒən]" is processed as "makeadecision"
2. Handle contractions: "solet's" → split "solet" → "so let" + "'s"
3. DP tiebreaker: prefer longer first word when scores are equal
   ("task is" over "ta skis")

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 09:13:02 +02:00
Benjamin Admin
4f4e6c31fa Fix word-split tiebreaker: prefer longer first word
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"taskis" was split as "ta skis" instead of "task is" because both
have the same DP score. Changed comparison from > to >= so that
later candidates (with longer first words) win ties.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 09:05:14 +02:00
Benjamin Admin
7ffa4c90f9 Lower word-split threshold from 7 to 4 chars
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Short merged words like "anew" (a new), "Imadea" (I made a),
"makeadecision" (make a decision) were missed because the split
threshold was too high. Now processes tokens >= 4 chars.

English single-letter words (a, I) are already handled by the DP
algorithm which allows them as valid split points.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 08:59:02 +02:00
Benjamin Admin
656cadbb1e Remove page-number footers from grid, promote to metadata
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Footer rows that are page numbers (digits or written-out like
"two hundred and nine") are now removed from the grid entirely
and promoted to the page_number metadata field. Non-page-number
footer content stays as a visible footer row.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 08:50:20 +02:00
Benjamin Admin
757c8460c9 Detect written-out page numbers as footer rows
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"two hundred and nine" (22 chars) was kept as a content row because
the footer detection only accepted text ≤20 chars. Now recognizes
written-out number words (English + German) as page numbers regardless
of length.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 08:39:43 +02:00
Benjamin Admin
501de4374a Keep page references as visible column cells
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Step 5g was extracting page refs (p.55, p.70) as zone metadata and
removing them from the cell table. Users want to see them as a
separate column. Now keeps cells in place while still extracting
metadata for the frontend header display.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-12 08:27:44 +02:00
Benjamin Admin
774bbc50d3 Add debug logging for empty-column-removal
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Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 22:45:22 +02:00
Benjamin Admin
9ceee4e07c Protect page references from junk-row removal
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Rows containing only a page reference (p.55, S.12) were removed as
"oversized stubs" (Rule 2) when their word-box height exceeded the
median. Now skips Rule 2 if any word matches the page-ref pattern.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 22:40:37 +02:00
Benjamin Admin
f23aaaea51 Fix false header detection: skip continuation lines and mid-column cells
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Single-cell rows were incorrectly detected as headings when they were
actually continuation lines. Two new guards:
1. Text starting with "(" is a continuation (e.g. "(usw.)", "(TV-Serie)")
2. Single cells beyond the first two content columns are overflow lines,
   not headings. Real headings appear in the first columns.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 22:21:09 +02:00
Benjamin Admin
cde13c9623 Fix IPA stripping digits after headwords (Theme 1 → Theme)
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_insert_missing_ipa stripped "1" from "Theme 1" because it treated
the digit as garbled OCR phonetics. Now treats pure digits/numbering
patterns (1, 2., 3)) as delimiters that stop the garble-stripping.

Also fixes _has_non_dict_trailing which incorrectly flagged "Theme 1"
as having non-dictionary trailing text.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 22:13:45 +02:00
Benjamin Admin
2e42167c73 Remove empty columns from grid zones
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Columns with zero cells (e.g. from tertiary detection where the word
was assigned to a neighboring column by overlap) are stripped from the
final result. Remaining columns and cells are re-indexed.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 22:04:49 +02:00
Benjamin Admin
5eff4cf877 Fix page refs deleted as artifacts + IPA spacing for DE mode
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1. Step 5j-pre wrongly classified "p.43", "p.50" etc as artifacts
   (mixed digits+letters, <=5 chars). Added exception for page
   reference patterns (p.XX, S.XX).

2. IPA spacing regex was too narrow (only matched Unicode IPA chars).
   Now matches any [bracket] content >=2 chars directly after a letter,
   fixing German IPA like "Opa[oːpa]" → "Opa [oːpa]".

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 22:01:25 +02:00
Benjamin Admin
7f4b8757ff Fix IPA spacing + add zone debug logging for marker column issue
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1. Ensure space before IPA brackets in cell text: "word[ipa]" → "word [ipa]"
   Applied as final cleanup in grid-build finalization.

2. Add debug logging for zone-word assignment to diagnose why marker
   column cells are empty despite correct column detection.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 21:51:52 +02:00
Benjamin Admin
7263328edb Fix marker column detection: remove min-rows requirement
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Words to the left of the first detected column boundary must always
form their own column, regardless of how few rows they appear in.
Previously required 4+ distinct rows for tertiary (margin) columns,
which missed page references like p.62, p.63, p.64 (only 3 rows).

Now any cluster at the left/right margin with a clear gap to the
nearest significant column qualifies as its own column.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 21:24:25 +02:00
Benjamin Admin
8c482ce8dd Fix Grid Build step: show grid-editor summary instead of word_result
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The Grid Build step was showing word_result.grid_shape (from the initial
OCR word clustering, often just 1 column) instead of the grid-editor
summary (zone-based, with correct column/row/cell counts). Now reads
summary.total_rows/total_columns/total_cells from the grid-editor result.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 21:01:18 +02:00
Benjamin Admin
00f7a7154c Fix left-side gutter detection: find peak instead of scanning from edge
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Left-side book fold shadows have a V-shape: brightness dips from the
edge toward a peak at ~5-10% of width, then rises again. The previous
algorithm scanned from the edge inward and immediately found a low
dark fraction (0.13 at x=0), missing the gutter entirely.

Now finds the PEAK of the dark fraction profile first, then scans from
that peak toward the page center to find the transition point. Works
for both V-shaped left gutters and edge-darkening right gutters.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 16:52:23 +02:00
Benjamin Admin
9c5e950c99 Fix multi-page PDF upload: include session_id for first page
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The frontend expects session_id in the upload response, but multi-page
PDFs returned only document_group_id + pages[]. Now includes session_id
pointing to the first page for backwards compatibility.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 16:26:25 +02:00
Benjamin Admin
6e494a43ab Apply merged-word splitting to grid-editor cells
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The spell review only runs on vocab entries, but the OCR pipeline's
grid-editor cells also contain merged words (e.g. "atmyschool").
Now splits merged words directly in the grid-build finalization step,
right before returning the result. Uses the same _try_split_merged_word()
dictionary-based DP algorithm.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 14:52:00 +02:00
Benjamin Admin
53b0d77853 Multi-page PDF support: create one session per page
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When uploading a PDF with > 1 page to the OCR pipeline, each page
now gets its own session (grouped by document_group_id). Previously
only page 1 was processed. The response includes a pages array with
all session IDs so the frontend can navigate between them.

Single-page PDFs and images continue to work as before.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 14:39:48 +02:00
Benjamin Admin
aed0edbf6d Fix word split scoring: prefer longer words over short ones
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"Comeon" was split as "Com eon" instead of "Come on" because both
are 2-word splits. Now uses sum-of-squared-lengths as tiebreaker:
"come"(16) + "on"(4) = 20 > "com"(9) + "eon"(9) = 18.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 14:14:23 +02:00
Benjamin Admin
9e2c301723 Add merged-word splitting to OCR spell review
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OCR often merges adjacent words when spacing is tight, e.g.
"atmyschool" → "at my school", "goodidea" → "good idea".

New _try_split_merged_word() uses dynamic programming to find the
shortest sequence of dictionary words covering the token. Integrated
as step 5 in _spell_fix_token() after general spell correction.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 14:11:16 +02:00
Benjamin Admin
633e301bfd Add camera gutter detection via vertical continuity analysis
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Scanner shadow detection (range > 40, darkest < 180) fails on camera
book scans where the gutter shadow is subtle (range ~25, darkest ~214).

New _detect_gutter_continuity() detects gutters by their unique property:
the shadow runs continuously from top to bottom without interruption.
Divides the image into horizontal strips and checks what fraction of
strips are darker than the page median at each column. A gutter column
has >= 75% of strips darker. The transition point where the smoothed
dark fraction drops below 50% marks the crop boundary.

Integrated as fallback between scanner shadow and binary projection.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 13:58:14 +02:00
Benjamin Admin
9b5e8c6b35 Restructure upload flow: document first, then preview + naming
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Step 1 is now document selection (full width).
After selecting a file, Step 2 shows a side-by-side layout with
document preview (3/5 width, scrollable, with fullscreen modal)
and session naming (2/5 width, with start button).

Also adds PDF preview via blob URL before upload.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 12:53:47 +02:00
Benjamin Admin
682b306e51 Use grid-build zones for vocab extraction (4-column detection)
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The initial build_grid_from_words() under-clusters to 1 column while
_build_grid_core() correctly finds 4 columns (marker, EN, DE, example).
Now extracts vocab from grid zones directly, with heuristic to skip
narrow marker columns. Falls back to original cells if zones fail.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 01:17:40 +02:00
Benjamin Admin
3e3116d2fd Fix vocab extraction: show all columns for generic layouts
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When columns can't be classified as EN/DE, map them by position:
col 0 → english, col 1 → german, col 2+ → example. This ensures
vocabulary pages are always extracted, even without explicit
language classification. Classified pages still use the proper
EN/DE/example mapping.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 01:11:40 +02:00
Benjamin Admin
9a8ce69782 Fix vocab extraction: use original column types for EN/DE classification
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The grid-build zones use generic column types, losing the EN/DE
classification from build_grid_from_words(). Now extracts improved
cells from grid zones but classifies them using the original
columns_meta which has the correct column_en/column_de types.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 01:07:49 +02:00
Benjamin Admin
66f8a7b708 Improve vocab-worksheet UX: better status messages + error details
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- Change "PDF wird analysiert..." to "PDF wird hochgeladen..." (accurate)
- Switch to pages tab immediately after upload (before thumbnails load)
- Show progressive status: "5 Seiten erkannt. Vorschau wird geladen..."
- Show backend error detail instead of generic "HTTP 404"
- Backend returns helpful message when session not in memory after restart

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 00:55:56 +02:00
Benjamin Admin
3b78baf37f Replace old OCR pipeline with Kombi pipeline + add IPA/syllable toggles
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Backend:
- _run_ocr_pipeline_for_page() now runs the full Kombi pipeline:
  orientation → deskew → dewarp → content crop → dual-engine OCR
  (RapidOCR + Tesseract merge) → _build_grid_core() with pipe-autocorrect,
  word-gap merge, dictionary detection
- Accepts ipa_mode and syllable_mode query params on process-single-page
- Pipeline sessions are visible in admin OCR Kombi UI for debugging

Frontend (vocab-worksheet):
- New "Anzeigeoptionen" section with IPA and syllable toggles
- Settings are passed to process-single-page as query parameters

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 00:43:42 +02:00
Benjamin Admin
2828871e42 Show detected page number in session header
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Extracts page_number from grid_editor_result when opening a session
and displays it as "S. 233" badge in the SessionHeader, next to the
category and GT badges.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 00:20:53 +02:00
Benjamin Admin
5c96def4ec Skip valid line-break hyphenations in gutter repair
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Words ending with "-" where the stem is a known word (e.g. "wunder-"
→ "wunder" is known) are valid line-break hyphenations, not gutter
errors. Gutter problems cause the hyphen to be LOST ("ve" instead of
"ver-"), so a visible hyphen + known stem = intentional word-wrap.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 00:14:21 +02:00
Benjamin Admin
611e1ee33d Add GT badge to grouped sessions and sub-pages in session list
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The GT badge was only shown on ungrouped SessionRow items. Now also
visible on document group rows (e.g. "GT 1/2") and individual pages
within expanded groups.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-10 23:54:55 +02:00
Benjamin Admin
49d5212f0c Fix hyphen-join: preserve next row + skip valid hyphenations
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Two bugs fixed:
- Apply no longer removes the continuation word from the next row.
  "künden" stays in row 31 — only the current row is repaired
  ("ve" → "ver-"). The original line-break layout is preserved.
- Analysis now skips words that already end with "-" when the direct
  join with the next row is a known word (valid hyphenation, not an error).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-10 19:49:07 +02:00
Benjamin Admin
e6f8e12f44 Show full Grid-Review in Ground Truth step + GT badge in session list
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- StepGroundTruth now shows the split view (original image + table)
  so the user can verify the final result before marking as GT
- Backend session list now returns is_ground_truth flag
- SessionList shows amber "GT" badge for marked sessions

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-10 19:34:32 +02:00
Benjamin Admin
aabd849e35 Fix hyphen-join: strip trailing punctuation from continuation word
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The next-row word "künden," had a trailing comma, causing dictionary
lookup to fail for "verkünden,". Now strips .,;:!? before joining.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-10 19:25:28 +02:00
Benjamin Admin
d1e7dd1c4a Fix gutter repair: detect short fragments + show spell alternatives
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- Lower min word length from 3→2 for hyphen-join candidates so fragments
  like "ve" (from "ver-künden") are no longer skipped
- Return all spellchecker candidates instead of just top-1, so user can
  pick the correct form (e.g. "stammeln" vs "stammelt")
- Frontend shows clickable alternative buttons for spell_fix suggestions
- Backend accepts text_overrides in apply endpoint for user-selected alternatives

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-10 19:09:12 +02:00
Benjamin Admin
71e1b10ac7 Add gutter repair step to OCR Kombi pipeline
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New step "Wortkorrektur" between Grid-Review and Ground Truth that detects
and fixes words truncated or blurred at the book gutter (binding area) of
double-page scans. Uses pyspellchecker (DE+EN) for validation.

Two repair strategies:
- hyphen_join: words split across rows with missing chars (ve + künden → verkünden)
- spell_fix: garbled trailing chars from gutter blur (stammeli → stammeln)

Interactive frontend with per-suggestion accept/reject and batch controls.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-10 18:50:16 +02:00
Benjamin Admin
21b69e06be Fix cross-column word assignment by splitting OCR merge artifacts
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When OCR merges adjacent words from different columns into one word box
(e.g. "sichzie" spanning Col 1+2, "dasZimmer" crossing boundary), the
grid builder assigned the entire merged word to one column.

New _split_cross_column_words() function splits these at column
boundaries using case transitions and spellchecker validation to
avoid false positives on real words like "oder", "Kabel", "Zeitung".

Regression: 12/12 GT sessions pass with diff=+0.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-28 10:54:41 +01:00
Benjamin Admin
0168ab1a67 Remove Hauptseite/Box tabs from Kombi pipeline
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Page-split now creates independent sessions that appear directly in
the session list. After split, the UI switches to the first child
session. BoxSessionTabs, sub-session state, and parent-child tracking
removed from Kombi code. Legacy ocr-overlay still uses BoxSessionTabs.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-27 17:43:58 +01:00
Benjamin Admin
925f4356ce Use spellchecker instead of pyphen for pipe autocorrect validation
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pyphen is a pattern-based hyphenator that accepts nonsense strings
like "Zeplpelin". Switch to spellchecker (frequency-based word list)
which correctly rejects garbled words and can suggest corrections.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-27 16:47:42 +01:00
Benjamin Admin
cc4cb3bc2f Add pipe auto-correction and graphic artifact filter for grid builder
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- autocorrect_pipe_artifacts(): strips OCR pipe artifacts from printed
  syllable dividers, validates with pyphen, tries char-deletion near
  pipe positions for garbled words (e.g. "Ze|plpe|lin" → "Zeppelin")
- Rule (a2): filters isolated non-alphanumeric word boxes (≤2 chars,
  no letters/digits) — catches small icons OCR'd as ">", "<" etc.
- Both fixes are generic: pyphen-validated, no session-specific logic

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-27 16:33:38 +01:00
Benjamin Admin
0685fb12da Fix Bug 3: recover OCR-lost prefixes via overlap merge + chain merging
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When OCR merge expands a prefix word box (e.g. "zer" w=42 → w=104),
it heavily overlaps (>75%) with the next fragment ("brech"). The grid
builder's overlap filter previously removed the prefix as a duplicate.

Fix: when overlap > 75% but both boxes are alphabetic with different
text and one is ≤ 4 chars, merge instead of removing. Also enable
chain merging via merge_parent tracking so "zer" + "brech" + "lich"
→ "zerbrechlich" in a single pass.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-27 15:49:52 +01:00
Benjamin Admin
96ea23164d Fix word-gap merge: add missing pronouns to stop words, reduce threshold
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- Add du/dich/dir/mich/mir/uns/euch/ihm/ihn to _STOP_WORDS to prevent
  false merges like "du" + "zerlegst" → "duzerlegst"
- Reduce max_short threshold from 6 to 5 to prevent merging multi-word
  phrases like "ziehen lassen" → "ziehenlassen"

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-27 15:35:12 +01:00
Benjamin Admin
a8773d5b00 Fix 4 Grid Editor bugs: syllable modes, heading detection, word gaps
1. Syllable "Original" (auto) mode: only normalize cells that already
   have | from OCR — don't add new syllable marks via pyphen to words
   without printed dividers on the original scan.

2. Syllable "Aus" (none) mode: strip residual | chars from OCR text
   so cells display clean (e.g. "Zel|le" → "Zelle").

3. Heading detection: add text length guard in single-cell heuristic —
   words > 4 alpha chars starting lowercase (like "zentral") are regular
   vocabulary, not section headings.

4. Word-gap merge: new merge_word_gaps_in_zones() step with relaxed
   threshold (6 chars) fixes OCR splits like "zerknit tert" → "zerknittert".

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-27 15:24:35 +01:00
Benjamin Admin
9f68bd3425 feat: Implement page-split step with auto-detection and sub-session naming
StepPageSplit now:
- Auto-calls POST /page-split on step entry
- Shows oriented image + detection result
- If double page: creates sub-sessions named "Title — S. 1/2"
- If single page: green badge "keine Trennung noetig"
- Manual "Weiter" button (no auto-advance)

Also:
- StepOrientation wrapper simplified (no page-split in orientation)
- StepUpload passes name back via onUploaded(sid, name)
- page.tsx: after page-split "Weiter" switches to first sub-session
- useKombiPipeline exposes setSessionName

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-26 17:56:45 +01:00
Benjamin Admin
469f09d1e1 fix: Redesign StepUpload for manual step control
StepUpload now has 3 phases:
1. File selection: drop zone / file picker → shows preview
2. Review: title input, category, file info → "Hochladen" button
3. Uploaded: shows session image → "Weiter" button

No more auto-advance after upload. User controls every step.
openSession() removed from onUploaded callback to prevent
step-reset race condition.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-26 17:35:36 +01:00
Benjamin Admin
3bb04b25ab fix: OCR Kombi upload race condition — openSession was resetting step to 0
openSession mapped dbStep=1 to uiStep=0 (upload), overriding handleNext's
advancement to step 1. Fix: sessions always exist post-upload, so always
skip past the upload step in openSession.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-26 17:10:04 +01:00
Benjamin Admin
85fe0a73d6 docs: Add OCR Kombi Pipeline to MkDocs and cross-reference from OCR Pipeline
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-26 16:09:40 +01:00
Benjamin Admin
eaade3cad2 feat: Maschinenbau-Branche + INDUSTRY_REGULATION_MAP erweitert
- Neue Branche "Maschinenbau" mit 15 Regularien (MACHINERY_REG, BLUE_GUIDE, CRA, etc.)
- BDSG zu allen DE-relevanten Branchen hinzugefuegt
- Nationale Gesetze (HGB, AO, BGB, UrhG, etc.) branchenspezifisch gemapped
- IoT erweitert: MACHINERY_REG, BLUE_GUIDE, NIS2, DE_ELEKTROG
- THEMATIC_GROUPS: Produktsicherheit um MACHINERY_REG + BLUE_GUIDE erweitert

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-26 15:59:31 +01:00
Benjamin Admin
d26a9f60ab Add OCR Kombi Pipeline: modular 11-step architecture with multi-page support
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Phase 1 of the clean architecture refactor: Replaces the 751-line ocr-overlay
monolith with a modular pipeline. Each step gets its own component file.

Frontend: /ai/ocr-kombi route with 11 steps (Upload, Orientation, PageSplit,
Deskew, Dewarp, ContentCrop, OCR, Structure, GridBuild, GridReview, GroundTruth).
Session list supports document grouping for multi-page uploads.

Backend: New ocr_kombi/ module with multi-page PDF upload (splits PDF into N
sessions with shared document_group_id). DB migration adds document_group_id
and page_number columns.

Old /ai/ocr-overlay remains fully functional for A/B testing.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-26 15:55:28 +01:00
Benjamin Admin
d26233b5b3 Add page number display to StepGridReview summary bar
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The page_number was only shown in GridEditor.tsx (ocr-overlay) but
the OCR pipeline uses StepGridReview.tsx which has its own summary bar.
Display the extracted page number (e.g. "S. 233") next to the
dictionary detection badge.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-26 11:21:44 +01:00
Benjamin Admin
e019dde01b Extract page number as metadata instead of silently removing it
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_filter_footer_words now returns page number info (text, y_pct, number)
instead of just removing footer words. The page number is included in
the grid result as `page_number` and displayed in the frontend summary
bar as "S. 233".

This preserves page numbers for later page concatenation in the
customer frontend while still removing them from the grid content.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-26 08:52:09 +01:00
Benjamin Admin
5af5d821a5 Fix 3 grid issues: artifact cells, connector col noise, footer false positive
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1. Add per-cell artifact filter (4b2): removes single-word cells with
   ≤2 chars and confidence <65 (e.g. "as" from stray OCR marks)

2. Add narrow connector column normalization (4d2): when ≥60% of cells
   in a column share the same short text (e.g. "oder"), normalize
   near-match outliers like "oderb" → "oder"

3. Fix footer detection: require short text (≤20 chars) and no commas.
   Comma-separated lists like "Uhrzeit, Vergangenheit, Zukunft" are
   content continuations, not page numbers.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-26 08:18:55 +01:00
Benjamin Admin
525de55791 Fix syllable+IPA combination: strip bracket content before IPA guard
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The _IPA_RE check in _syllabify_text() skipped entire cells containing
any IPA character. After German IPA insertion adds [bɪltʃøn], the check
blocked syllabification entirely. Now strips bracket content before
checking, so programmatically inserted IPA doesn't prevent syllable
divider insertion on the surrounding text.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-26 00:03:10 +01:00
Benjamin Admin
f860eb66e6 Add German IPA support (wiki-pronunciation-dict + epitran)
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Hybrid approach mirroring English IPA:
- Primary: wiki-pronunciation-dict (636k entries, CC-BY-SA, Wiktionary)
- Fallback: epitran rule-based G2P (MIT license)

IPA modes now use language-appropriate dictionaries:
- auto/en: English IPA (Britfone + eng_to_ipa)
- de: German IPA (wiki-pronunciation-dict + epitran)
- all: EN column gets English IPA, other columns get German IPA
- none: disabled

Frontend shows CC-BY-SA attribution when German IPA is active.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 22:18:20 +01:00
Benjamin Admin
a73ddce43d Fix missing PageZone import in grid_editor_helpers.py
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The zone merging function used PageZone but the import was only
in grid_editor_api.py. Caused NameError on sessions that trigger
zone merging (e.g. original_scan_b59a1b1b).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 22:04:21 +01:00
Benjamin Admin
47e83d90bd Remove IPA:DE option — no German IPA dictionary available
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Our IPA system only has English dictionaries (Britfone MIT, eng_to_ipa
MIT). The "IPA: nur DE" option was useless at best and misleading.
Removed from dropdown, type definition, and API validation.

Syllable DE mode stays — pyphen has a German hyphenation dictionary.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 21:53:43 +01:00
Benjamin Admin
76cd1ac020 Fix false headers on sparse layouts and IPA corruption on German text
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1. Header detection: Add 25% cap to single-cell heading heuristic.
   On German synonym dicts where most rows naturally have only 1
   content cell, the old logic marked 60%+ of rows as headers.

2. IPA de/all mode: Use "column_text" (light processing) for non-
   English columns instead of "column_en" (full processing). The
   full path runs _insert_missing_ipa() which splits on whitespace,
   matches English prefixes ("bildschön" → "bild"), and truncates
   the rest — destroying German comma-separated synonym lists.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 21:49:05 +01:00
Benjamin Admin
256df820cd Auto-rebuild grid when IPA or syllable mode dropdown changes
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The dropdowns only updated state but didn't trigger buildGrid().
Now a useEffect watches ipaMode/syllableMode and rebuilds
automatically (skipping the initial mount).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 20:43:20 +01:00
Benjamin Admin
7773c51304 Fix en/de mode edge case on docs without detected English column
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When no IPA signals exist (e.g. German-only dicts), the fallback
that guesses en_col_type was incorrectly triggered for en/de modes,
causing false IPA and syllable insertions. Now only fires for 'all'
mode. Syllable en mode also returns empty set when no EN column found.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 08:37:15 +01:00
Benjamin Admin
83c058e400 Add language-specific IPA and syllable modes (de/en)
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Extend ipa_mode and syllable_mode toggles with language options:
- auto: smart detection (default)
- en: only English headword column
- de: only German definition columns
- all: all content columns
- none: skip entirely

Also improve English column auto-detection: use garbled IPA patterns
(apostrophes, colons) in addition to bracket patterns. This correctly
identifies English dictionary pages where OCR produces garbled ASCII
instead of bracket IPA.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 08:16:29 +01:00
Benjamin Admin
34680732f8 Add IPA and syllable mode toggles, fix false IPA on German documents
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Backend: Remove en_col_type fallback heuristic (longest avg text) that
incorrectly identified German columns as English. IPA now only applied
when OCR bracket patterns are actually found. Add ipa_mode (auto/all/none)
and syllable_mode (auto/all/none) query params to build-grid API.

Frontend: Add IPA and Silben dropdown selects to GridToolbar. Modes
are passed as query params on rebuild. Auto = current smart detection,
All = force for all words, Aus = skip entirely.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 08:04:44 +01:00
Benjamin Admin
c42924a94a Fix IPA correction persistence and false-positive prefix matching
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Step 5i was overwriting IPA-corrected text from Step 5c when
reconstructing cells from word_boxes. Added _ipa_corrected flag
to preserve corrections. Also tightened merged-token prefix matching
(min prefix 4 chars, min suffix 3 chars) to prevent false positives
like "sis" being extracted from "si:said".

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 07:26:32 +01:00
Benjamin Admin
9ea217bdfc Fix IPA correction for dictionary pages (WIP)
- Fix Step 5h: restrict slash-IPA conversion to English headword column
  only — prevents converting "der/die/das" to "der [dər]das" in German
  columns (confirmed working)
- Fix _text_has_garbled_ipa: detect embedded apostrophes in merged
  tokens like "Scotland'skotland" where OCR reads ˈ as '
- Fix _insert_missing_ipa: detect dictionary word prefix in merged
  trailing tokens like "fictionsalans'fIkfn" → extract "fiction" with IPA
- Move en_col_type to wider scope for Step 5h access

Note: Fixes 1+2 confirmed working in unit tests but not yet applying
in the full build-grid pipeline — needs further debugging.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 23:54:14 +01:00
Benjamin Admin
4feec7c7b7 Lower syllable pipe-ratio threshold from 5% to 1%
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Real dictionary pages have only ~3% OCR-detected pipes because the thin
syllable divider lines are hard for OCR to read. The primary false-positive
guard (article_col_index check) already blocks synonym dictionaries.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 23:17:08 +01:00
Benjamin Admin
ed7fc99fc4 Improve syllable divider insertion for dictionary pages
Rewrite cv_syllable_detect.py with pyphen-first approach:
- Remove unreliable CV gate (morphological pipe detection)
- Strip existing pipes and re-syllabify via pyphen (DE then EN)
- Merge pipe-gap spaces where OCR split words at divider positions
- Guard merges with function word blacklist and punctuation checks

Add false-positive prevention:
- Pre-check: skip if <5% of cells have existing | from OCR
- Call-site check: require article_col_index (der/die/das column)
- Prevents syllabification of synonym dictionaries and word lists

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 19:44:29 +01:00
Benjamin Admin
7fbcae954b fix: auto-trigger orientation for page-split sessions without result
Page-split sessions (start_step=1) have no orientation_result stored.
StepOrientation now auto-runs orientation detection when loading an
existing session that lacks a result.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 17:19:56 +01:00
Benjamin Admin
f931091b57 refactor: independent sessions for page-split + URL-based pipeline navigation
Page-split now creates independent sessions (no parent_session_id),
parent marked as status='split' and hidden from list. Navigation uses
useSearchParams for URL-based step tracking (browser back/forward works).
page.tsx reduced from 684 to 443 lines via usePipelineNavigation hook.

Box sub-sessions (column detection) remain unchanged.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 17:05:33 +01:00
Benjamin Admin
f34340de9c Fix sub-session completion flow: navigate to next incomplete sub-session
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Instead of returning to parent (which creates a redirect loop), the
handleNext function now finds the next incomplete sub-session and opens
it directly. When all sub-sessions are done, returns to session list.

Also fixes openSession auto-redirect to prefer the first incomplete
sub-session over the most advanced one.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 16:33:56 +01:00
Benjamin Admin
55de6c21d2 Fix session resume: auto-open most advanced sub-session on parent click
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When reopening a parent session that has page-split sub-sessions,
the UI was showing the parent's pipeline step (always step 1/Orientation)
instead of navigating to the sub-sessions. Now automatically opens the
most advanced sub-session, matching the behavior of handleOrientationComplete.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 16:04:53 +01:00
Benjamin Admin
52b66ebe07 Fix NameError: _text_has_garbled_ipa not imported in grid_editor_helpers
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After refactoring grid_editor_api.py into helpers, the function
_text_has_garbled_ipa was used in _detect_heading_rows_by_single_cell
but never imported from cv_ocr_engines. This caused HTTP 500 on
build-grid for sessions that trigger single-cell heading detection.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 15:11:29 +01:00
Benjamin Admin
424e5c51d4 fix: remove nested scrollbar in grid editor
Removed overflow-y-auto and maxHeight from the grid container div.
The page itself handles scrolling — nested scroll containers caused
the bottom rows to be cut off after editing.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 15:06:28 +01:00
Benjamin Admin
12b4c61bac refactor: extract grid helpers + generic CV-gated syllable insertion
1. Extracted 1367 lines of helper functions from grid_editor_api.py
   (3051→1620 lines) into grid_editor_helpers.py (filters, detectors,
   zone grid building).

2. Created cv_syllable_detect.py with generic CV+pyphen logic:
   - Checks EVERY word_box for vertical pipe lines (not just first word)
   - No article-column dependency — works with any dictionary layout
   - CV morphological detection gates pyphen insertion

3. Grid editor scroll: calc(100vh-200px) for reliable scrolling.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 14:39:33 +01:00
Benjamin Admin
d9b2aa82e9 fix: CV-gated syllable insertion + grid editor scroll
1. Syllable dividers now require CV validation: morphological vertical
   line detection checks if word_box image actually shows thin isolated
   pipe lines before applying pyphen. Only first word per cell gets
   pipes (matching dictionary print layout).

2. Grid editor scroll: changed maxHeight from 80vh to calc(100vh-200px)
   so editor remains scrollable after edits.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 14:31:16 +01:00
Benjamin Admin
364086b86e feat: auto-insert syllable dividers via pyphen on dictionary pages
OCR engines don't detect | pipe chars used as syllable dividers in
dictionaries. After dictionary detection (is_dict=True), use pyphen
(MIT) to insert syllable breaks into headword cells. Tries DE first,
then EN. Skips IPA content, short words, and cells already containing |.

Also adds pyphen>=0.16.0 to requirements.txt.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 14:17:26 +01:00
Benjamin Admin
fe754398c0 fix: Step 4f sidebar detection uses avg text length instead of fill ratio
Column_1 data showed avg_len=1.0 with 13 single-char cells (alphabet
letters from sidebar). Old fill_ratio check (76% > 35%) missed it.
New criteria: avg_len ≤ 1.5 AND ≥ 70% single chars → removes column.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 14:10:43 +01:00
Benjamin Admin
be86a7d14d fix: preserve pipe syllable dividers + detect alphabet sidebar columns
1. Pipe divider fix: Changed OCR char-confusion regex so | between
   letters (Ka|me|rad) is NOT converted to I. Only standalone/
   word-boundary pipes are converted (|ch → Ich, | want → I want).

2. Alphabet sidebar detection improvements:
   - _filter_decorative_margin() now considers 2-char words (OCR reads
     "Aa", "Bb" from sidebars), lowered min strip from 8→6
   - _filter_border_strip_words() lowered decorative threshold from 50%→45%
   - New step 4f: grid-level thin-edge-column filter as safety net —
     removes edge columns with <35% fill rate and >60% short text

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 13:52:11 +01:00
Benjamin Admin
19a5f69272 fix: make Grid Editor vertically scrollable so all rows are visible
The right panel (grid area) had no vertical overflow handling, causing
the last ~5 rows to be clipped and invisible. Added overflow-y-auto
with max-height 80vh, and removed overflow-hidden from the GridTable
wrapper that was cutting off content.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 13:33:52 +01:00
Benjamin Admin
ea09fc75df fix: resolve circular import with lazy import for _build_reference_snapshot
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 13:18:21 +01:00
Benjamin Admin
410d36f3de feat: save automatic grid snapshot before manual edits for GT comparison
- build-grid now saves the automatic OCR result as ground_truth.auto_grid_snapshot
- mark-ground-truth includes a correction_diff comparing auto vs corrected
- New endpoint GET /correction-diff returns detailed diff with per-col_type
  accuracy breakdown (english, german, ipa, etc.)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 13:16:44 +01:00
Benjamin Admin
72ce4420cb fix: advance uiStep past skipped orientation for page-split sub-sessions
Page-split sub-sessions (current_step=2) had orientation marked as skipped
but uiStep remained at 0 (orientation step), causing StepOrientation to
render for a sub-session that has no orientation data. Now advances to
uiStep=1 (deskew) when orientation is skipped.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 12:59:36 +01:00
Benjamin Admin
63dfb4d06f fix: replace reset useEffects with key prop for step component remount
The reset useEffects in StepOrientation/Deskew/Dewarp/Crop were clearing
orientationResult when sessionId changed (e.g. during handleOrientationComplete),
causing the right side of ImageCompareView to show nothing. Using key={sessionId}
on the step components instead forces React to remount with fresh state when
switching sessions, without interfering with the upload/orientation flow.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 12:20:50 +01:00
Benjamin Admin
08a91ba2be Fix sub-session tab switching: reset step state on sessionId change
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Step components (Deskew, Dewarp, Crop, Orientation) had local state
guards that prevented reloading when sessionId changed via sub-session
tab clicks. Added useEffect reset hooks that clear all local state
when sessionId changes, allowing the component to properly reload
the new session's data.

Also renamed "Box N" to "Seite N" in BoxSessionTabs per user feedback.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 12:04:23 +01:00
Benjamin Admin
49a36364a8 Add double-page split support to OCR Overlay (Kombi 7 Schritte)
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The page-split detection was only implemented in the regular pipeline
page but not in the OCR Overlay page where the user actually tests
with Kombi mode. Now the overlay page has full sub-session support:

- openSession: handles sub_sessions, parent_session_id, skip logic
  for page-split vs crop-based sub-sessions, preserves current mode
- handleOrientationComplete: async, fetches API to detect sub-sessions
- BoxSessionTabs: shown between stepper and step content
- handleNext: returns to parent after sub-session completion
- handleSessionChange/handleBoxSessionsCreated: session switching

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 11:48:26 +01:00
Benjamin Admin
14fd8e0b1e Fix page-split: fetch sub-sessions from API instead of React state
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handleOrientationComplete was checking subSessions from React state,
but due to batching the state was still empty when the user clicked
"Seiten verarbeiten". Now fetches session data directly from the API
to reliably detect sub-sessions and auto-open the first one.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 11:22:15 +01:00
Benjamin Admin
247b79674d Add double-page spread detection to frontend pipeline
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After orientation detection, the frontend now automatically calls the
page-split endpoint. When a double-page book spread is detected, two
sub-sessions are created and each goes through the full pipeline
(deskew/dewarp/crop) independently — essential because each page of a
spread tilts differently due to the spine.

Frontend changes:
- StepOrientation: calls POST /page-split after orientation, shows
  split info ("Doppelseite erkannt"), notifies parent of sub-sessions
- page.tsx: distinguishes page-split sub-sessions (current_step < 5)
  from crop-based sub-sessions (current_step >= 5). Page-split subs
  only skip orientation, not deskew/dewarp/crop.
- page.tsx: handleOrientationComplete opens first sub-session when
  page-split was detected

Backend changes (orientation_crop_api.py):
- page-split endpoint falls back to original image when orientation
  rotated a landscape spread to portrait
- start_step parameter: 1 if split from original, 2 if from oriented

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 11:09:44 +01:00
Benjamin Admin
40815dafd1 feat(ocr-pipeline): add page-split endpoint for double-page book spreads
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Each page of a double-page scan tilts differently due to the book spine.
The new POST /page-split endpoint detects spreads after orientation and
creates sub-sessions that go through the full pipeline (deskew, dewarp,
crop, etc.) individually, so each page gets its own deskew correction.

Also fixes border-strip filter incorrectly removing German translation
words by adding a decorative-strip validation check.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 10:53:06 +01:00
Benjamin Admin
2a21127f01 fix(ocr-pipeline): improve page crop spine detection and cell assignment
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1. page_crop: Score all dark runs by center-proximity × darkness ×
   narrowness instead of picking the widest. Fixes ad810209 where a
   wide dark area at 35% was chosen over the actual spine at 50%.

2. cv_words_first: Replace x-center-only word→column assignment with
   overlap-based three-pass strategy (overlap → midpoint-range → nearest).
   Fixes truncated German translations like "Schal" instead of
   "Schal - die Schals" in session 079cd0d9.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 09:23:30 +01:00
Benjamin Admin
9d34c5201e feat(grid-editor): add manual cell color control via right-click menu
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Users can now right-click any cell to set text color (red, green, blue,
orange, purple, black) or remove the color bar without changing text.
A "reset" option restores the OCR-detected color. This enables accurate
Ground Truth marking when OCR assigns colors to wrong cells.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 08:51:18 +01:00
Benjamin Admin
d54814fa70 feat: color bar respects edits + column pattern auto-correction
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- Color bar (red/colored indicator) now only shows when word_boxes
  text still matches the cell text — editing the cell hides stale colors
- New "Auto-Korrektur" button: detects dominant prefix+number patterns
  per column (e.g. p.70, p.71) and completes partial entries (.65 → p.65)
  — requires 3+ matching entries before correcting

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 08:38:11 +01:00
Benjamin Admin
d6f4944bcc fix: remove maxHeight limit on grid editor — shows all rows
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 08:24:50 +01:00
Benjamin Admin
ee0d9c881e fix: column resize handle now accessible above add/delete buttons
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Resize handle: wider (9px), z-40 (above z-30 buttons).
Add-column button moved to bottom-right corner to avoid overlap.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 08:20:04 +01:00
Benjamin Admin
65f4ce1947 feat: ImageLayoutEditor, arrow-key nav, multi-select bold, wider columns
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- New ImageLayoutEditor: SVG overlay on original scan with draggable
  column dividers, horizontal guidelines (margins/header/footer),
  double-click to add columns, x-button to delete
- GridTable: MIN_COL_WIDTH 40→80px for better readability
- Arrow up/down keys navigate between rows in the grid editor
- Ctrl+Click for multi-cell selection, Ctrl+B to toggle bold on selection
- getAdjacentCell works for cells that don't exist yet (new rows/cols)
- deleteColumn now merges x-boundaries correctly
- Session restore fix: grid_editor_result/structure_result in session GET
- Footer row 3-state cycle, auto-create cells for empty footer rows
- Grid save/build/GT-mark now advance current_step=11

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 07:45:39 +01:00
Benjamin Admin
4e668660a7 feat: add Woerterbuch category + column add/delete in grid editor
- New document category "Woerterbuch" (frontend type + backend validation)
- Column delete: hover column header → red "x" button (with confirmation)
- Column add: hover column header → "+" button inserts after that column
- Both operations support undo/redo, update cell IDs and summary
- Available in both GridEditor and StepGridReview (Kombi last step)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-23 16:27:12 +01:00
Benjamin Admin
7a6eadde8b feat: integrate Ground Truth review into Kombi Pipeline last step
- New StepGridReview component: split-view (scan image left, grid right),
  confidence stats, row-accept buttons, zoom controls
- Kombi Pipeline case 6 now uses StepGridReview instead of plain GridEditor
- Kombi step label changed to "Review & GT"
- Ground Truth queue page simplified to overview/navigation only
  (links to Kombi pipeline for actual review work)
- Deep-link support: /ai/ocr-overlay?session=xxx&mode=kombi

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-23 15:04:23 +01:00
Benjamin Admin
4e809c3860 fix: ground-truth crash on col_type + remove AIToolsSidebarResponsive from model-management
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- Ground-truth: zone.columns use 'label' not 'col_type' — calling
  .replace() on undefined crashed the page after grid data loaded
- Model-management: same AIToolsSidebarResponsive wrapper bug as the
  other pages — does not render children

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-23 10:14:02 +01:00
Benjamin Admin
dccbb909bc fix: remove AIToolsSidebarResponsive wrapper from ground-truth and regression pages
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AIToolsSidebarResponsive does not accept children — it renders only a
sidebar nav. Using it as a wrapper caused page content to never render.
Replaced with plain div, matching the pattern used by ocr-pipeline.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-23 09:57:52 +01:00
Benjamin Admin
be7f5f1872 feat: Sprint 2 — TrOCR ONNX, PP-DocLayout, Model Management
D2: TrOCR ONNX export script (printed + handwritten, int8 quantization)
D3: PP-DocLayout ONNX export script (download or Docker-based conversion)
B3: Model Management admin page (PyTorch vs ONNX status, benchmarks, config)
A4: TrOCR ONNX service with runtime routing (auto/pytorch/onnx via TROCR_BACKEND)
A5: PP-DocLayout ONNX detection with OpenCV fallback (via GRAPHIC_DETECT_BACKEND)
B4: Structure Detection UI toggle (OpenCV vs PP-DocLayout) with class color coding
C3: TrOCR-ONNX.md documentation
C4: OCR-Pipeline.md ONNX section added
C5: mkdocs.yml nav updated, optimum added to requirements.txt

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-23 09:53:02 +01:00
Benjamin Admin
c695b659fb fix: PagePurpose props on ground-truth and regression pages
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Both pages passed `moduleId` which is not a valid prop for PagePurpose.
The component expects explicit title/purpose/audience — calling
audience.join() on undefined caused the client-side crash.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-23 09:43:36 +01:00
Benjamin Admin
a1e079b911 feat: Sprint 1 — IPA hardening, regression framework, ground-truth review
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Track A (Backend):
- Compound word IPA decomposition (schoolbag→school+bag)
- Trailing garbled IPA fragment removal after brackets (R21 fix)
- Regression runner with DB persistence, history endpoints
- Page crop determinism verified with tests

Track B (Frontend):
- OCR Regression dashboard (/ai/ocr-regression)
- Ground Truth Review workflow (/ai/ocr-ground-truth)
  with split-view, confidence highlighting, inline edit,
  batch mark, progress tracking

Track C (Docs):
- OCR-Pipeline.md v5.0 (Steps 5e-5h)
- Regression testing guide
- mkdocs.yml nav update

Track D (Infra):
- TrOCR baseline benchmark script
- run-regression.sh shell script
- Migration 008: regression_runs table

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-23 09:21:27 +01:00
Benjamin Admin
f5d5d6c59c docs: add Vision, Roadmap, and Hardware strategy to MkDocs
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Add three new Projekt documentation pages covering product vision
(offline-first desktop app for teachers), 6-phase development roadmap,
and 3-tier hardware strategy with distribution plan.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-23 08:54:22 +01:00
Benjamin Admin
4a44ad7986 fix: hard-filter OCR words inside detected graphic regions
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Run detect_graphic_elements() in the grid pipeline after image loading
and remove ALL words whose centroids fall inside detected graphic regions,
regardless of confidence. Previously only low-confidence words (conf < 50)
were removed, letting artifacts like "Tr", "Su" survive.

Changes:
- grid_editor_api.py: Import and call detect_graphic_elements() at Step 3a,
  passing only significant words (len >= 3) to avoid short artifacts fooling
  the text-vs-graphic heuristic. Hard-filter all words in graphic regions.
- cv_graphic_detect.py: Lower density threshold from 20% to 5% for large
  regions (>100x80px) — photos/illustrations have low color saturation.
  Raise page-spanning limit from 50% to 60% width/height.

Tested: 5 ground-truth sessions pass regression (079cd0d9, d8533a2c,
2838c7a7, 4233d7e3, 5997b635). Session 5997 now detects 2 graphic regions
and removes 29 artifact words including "Tr" and "Su".

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-22 10:18:23 +01:00
Benjamin Admin
7b3319be2e fix: merge syllable-split word_boxes + keep dictionary guide words
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OCR splits words at syllable marks into overlapping word_boxes (e.g.
"zu" + "tiefst" with 52% x-overlap). Step 5i previously removed the
lower-confidence box, losing the prefix. Now: when both boxes are
alphabetic text with 20-75% overlap, MERGE them into one word_box
("zutiefst") instead of removing.

Also relaxed artifact cell filter: 2-char alphabetic text like "Zw"
(dictionary guide word) is no longer removed. Only non-alphabetic
short text like "a=" is filtered.

Results for session 5997: "tiefst"→"zutiefst", "zu"→"zuständig",
"Zu die Zuschüsse"→"Zuschuss, die Zuschüsse", "Zw" restored.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-22 08:21:00 +01:00
Benjamin Admin
882b177fc3 fix: remove image-area artifacts + fix heading false positive for dictionary entries
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Three fixes for dictionary page session 5997:

1. Heading detection: column_1 cells with article words (die/der/das)
   now count as content cells, preventing "die Zuschrift, die Zuschriften"
   from being falsely merged into a spanning heading cell.

2. Step 5j-pre: new artifact cell filter removes short garbled text from
   OCR on image areas (e.g. "7 EN", "Tr", "\\", "PEE", "a="). Cells
   survive earlier filters because their rows have real content in other
   columns. Also cleans up empty rows after removal.

3. Footer "PEE" auto-fixed: artifact filter removes the noise cell,
   empty row gets cleaned up, footer detection no longer sees it.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-22 07:59:24 +01:00
Benjamin Admin
1fae39dbb8 fix: lower secondary column threshold + strip pipe chars from word_boxes
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Dictionary pages have 2 dictionary columns, each with article + headword
sub-columns. The right article column (die/der at x≈626) had only 14.3%
row coverage — below the 20% secondary threshold. Lowered to 12% so
dictionary article columns qualify. Also strip pipe characters from
individual word_box text (not just cell text) to remove OCR syllable
separation marks (e.g. "zu|trau|en" → "zutrauen").

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-22 07:44:03 +01:00
Benjamin Admin
46c8c28d34 fix: border strip pre-filter + 3-column detection for vocabulary tables
The border strip filter (Step 4e) used the LARGEST x-gap which incorrectly
removed base words along with edge artifacts. Now uses a two-stage approach:
1. _filter_border_strip_words() pre-filters raw words BEFORE column detection,
   scanning from the page edge inward to find the FIRST significant gap (>30px)
2. Step 4e runs as fallback only when pre-filter didn't apply

Session 4233 now correctly detects 3 columns (base word | oder | synonyms)
instead of 2. Threshold raised from 15% to 20% to handle pages with many
edge artifacts. All 4 ground-truth sessions pass regression.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-21 21:01:43 +01:00
Benjamin Admin
4000110501 fix: extend tiny symbol filter to all non-black colors, raise area to 200
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Step 5i rule (a) only caught blue tiny symbols. Graphic fragments from
page illustrations (e.g. orange quote mark from man illustration) were
missed. Now filters any non-black colored word_box with area < 200 and
confidence < 85.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-21 18:05:31 +01:00
Benjamin Admin
2acf8696bf fix: correct border strip test data to avoid false internal gaps
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Content word_boxes in test used x-spacing (i%3)*100 which created
internal gaps larger than the border-to-content gap. Changed to
(i%2)*51 so content words overlap and the border gap remains dominant.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-21 17:24:33 +01:00
Benjamin Admin
c0e1118870 feat: detect and remove page-border decoration strip artifacts (Step 4e)
Textbooks with decorative alphabet strips along page edges produce
OCR artifacts (scattered colored letters at x<150 while real content
starts at x>=179). Step 4e detects a significant x-gap (>30px) between
a small cluster (<15% of total word_boxes) near the page edge and the
main content, then removes the border-strip word_boxes.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-21 17:20:45 +01:00
Benjamin Admin
f31a7175a2 fix: normalize word_box order to reading order for frontend display (Step 5j)
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The frontend renders colored cells from the word_boxes array order,
not from cell.text. After post-processing steps (5i bullet removal etc),
word_boxes could remain in their original insertion order instead of
left-to-right reading order. Step 5j now explicitly sorts word_boxes
using _group_words_into_lines before the result is built.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 19:21:37 +01:00
Benjamin Admin
bacbfd88f1 Fix word ordering in cell text rebuild (Steps 4c, 4d, 5i)
Cell text was rebuilt using naive (top, left) sorting after removing
word_boxes in Steps 4c/4d/5i. This produced wrong word order when
words on the same visual line had slightly different top values (1-6px).

Now uses _words_to_reading_order_text() which groups words into visual
lines by y-tolerance before sorting by x within each line, matching
the initial cell text construction in _build_cells.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 18:45:33 +01:00
Benjamin Admin
2c63beff04 Fix bullet overlap disambiguation + raise red threshold to 90
Step 5i: For word_boxes with >90% x-overlap and different text, use IPA
dictionary to decide which to keep (e.g. "tightly" in dict, "fighily" not).

Red threshold raised from 80 to 90 to catch remaining scanner artifacts
like "tight" and "5" that were still misclassified as red.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 18:21:00 +01:00
Benjamin Admin
82433b4bad Step 5i: Remove blue bullet/artifact and overlapping duplicate word_boxes
Dictionary pages have small blue square bullets before entries that OCR
reads as text artifacts. Three detection rules:
a) Tiny blue symbols (area < 150, conf < 85): catches ©, e, * etc.
b) X-overlapping word_boxes (>40%): remove lower confidence one
c) Duplicate blue text with gap < 6px: remove one copy

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 18:17:07 +01:00
Benjamin Admin
d889a6959e Fix red false-positive in color detection for scanned black text
Scanner artifacts on black text produce slight warm tint (hue ~0, sat ~60)
that was misclassified as red. Now requires median_sat >= 80 specifically
for red classification, since genuine red text always has high saturation.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 17:18:44 +01:00
Benjamin Admin
bc1804ad18 Fix vsplit side-by-side rendering: invalid TypeScript type annotation
Changed `typeof grid.zones[][]` to `GridZone[][]` which was causing
a silent build error, preventing the vsplit zone grouping logic from
being compiled into the production bundle.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 17:09:52 +01:00
Benjamin Admin
45b83560fd Vertical zone split: detect divider lines and create independent sub-zones
Pages with two side-by-side vocabulary columns separated by a vertical
black line are now split into independent sub-zones before row/column
detection. Each sub-zone gets its own rows, preventing misalignment from
different heading rhythms.

- _detect_vertical_dividers(): finds pipe word_boxes at consistent x
  positions spanning >50% of zone height
- _split_zone_at_vertical_dividers(): creates left/right PageZone objects
  with layout_hint and vsplit_group metadata
- Column union skips vsplit zones (independent column sets)
- Frontend renders vsplit zones side by side via flex layout
- PageZone gets layout_hint + vsplit_group fields

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 16:38:12 +01:00
Benjamin Admin
e4fa634a63 Fix GridTable: show cell.text when it diverges from word_boxes
Post-processing steps like 5h (slash-IPA conversion) modify cell.text
but not individual word_boxes. The colored per-word display showed
stale word_box text instead of the corrected cell text. Now falls
back to the plain input when texts don't match.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 15:05:10 +01:00
Benjamin Admin
76ba83eecb Tighten tertiary column detection: require 4+ rows and 5% coverage
Prevents false narrow columns from text overflow at page edges.
Session 355f3c84 had a 3-row/4% tertiary cluster creating a spurious
third column from right-column text overflow.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 12:50:03 +01:00
Benjamin Admin
04092a0a66 Fix Step 5h: reject grammar patterns in slash-IPA, convert trailing variants
- Reject /.../ matches containing spaces, parens, or commas (e.g. sb/sth up)
- Second pass converts trailing /ipa2/ after [ipa1] (double pronunciation)
- Validate standalone /ipa/ at start against same reject pattern

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 12:40:28 +01:00
Benjamin Admin
7fafd297e7 Step 5h: convert slash-delimited IPA to bracket notation with dict lookup
Dictionary-style pages print IPA between slashes (e.g. tiger /'taiga/).
Step 5h detects these patterns, looks up the headword in the IPA dictionary
for proper Unicode IPA, and falls back to OCR text when not found.
Converts /ipa/ to [ipa] bracket notation matching the rest of the pipeline.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 12:36:08 +01:00
Benjamin Admin
7ac09b5941 Filter pipe-character word_boxes from OCR column divider artifacts
Step 4d removes "|" and "||" word_boxes that OCR produces when reading
physical vertical divider lines between columns. Also strips stray pipe
chars from cell text.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 12:09:50 +01:00
Benjamin Admin
1f7989cfc2 Fix grammar bracket detection: split on spaces too, not just slashes
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_is_grammar_bracket_content now splits "no pl" into ["no", "pl"]
instead of treating it as single token "no pl".

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 11:45:35 +01:00
Benjamin Admin
ef5aed6a98 Preserve grammar annotations (pl), (no pl) and skip articles in IPA
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Two fixes:
1. Add pl, sg, no, also, ae, be etc. to _GRAMMAR_BRACKET_WORDS so
   annotations like (pl) and (no pl) are not replaced with IPA.
2. Skip articles (the, a, an) in fix_ipa_continuation_cell — they
   never get IPA in vocabulary books.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 11:42:44 +01:00
Benjamin Admin
7dc00e737a Add footer row label (F) in grid editor, matching header (H) style
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Footer rows (e.g. page numbers) now show "F" in amber below the row
number, mirroring the blue "H" label for headers.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 11:01:14 +01:00
Benjamin Admin
a579c31ddb Fix IPA continuation: skip words with inline IPA, recover emptied cells
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Three fixes:
1. fix_ipa_continuation_cell: when headword has inline IPA like
   "beat [bˈiːt] , beat, beaten", only generate IPA for uncovered
   words (beaten), not words already shown (beat). When bracket is
   at end like "the Highlands [ˈhaɪləndz]", return inline IPA directly.
2. Step 5d: recover garbled IPA from word_boxes when Step 5c emptied
   the cell text (e.g. "[n, nn]" → "").
3. Added 2 tests for inline IPA behavior (35 total).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 09:31:54 +01:00
Benjamin Admin
0f9c0d2ad0 Keep footer rows in table, mark with is_footer + col_type=footer
Footer rows like "two hundred and twelve" are no longer removed from
the grid. Instead they stay in cells/rows and get tagged so the
frontend can render them differently.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 09:08:25 +01:00
Benjamin Admin
278067fe20 Fix page_ref extraction: only extract cells matching page-ref pattern
Column_1 cells like "to" (infinitive markers) were incorrectly extracted
as page_refs. Now only cells matching p.70, ,.65, or bare digits are
treated as page references.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 08:55:55 +01:00
Benjamin Admin
d76fb2a9c8 Fix page_ref + footer extraction: extract individual cells, skip IPA footers
Step 5g now extracts column_1 cells individually as page_refs (instead of
requiring the whole row to be column_1-only), and footer detection skips
rows containing real IPA Unicode symbols to avoid false positives on
IPA continuation rows like [sˈiː] – [sˈɔː] – [sˈiːn].

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 08:47:39 +01:00
Benjamin Admin
9681fcbd05 Strip IPA from headings + extract page_refs and footer from table
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- Step 5f: Remove dictionary IPA from headings detected after IPA
  correction (e.g. "Theme [θˈiːm]" → "Theme")
- Step 5g: Extract page_ref rows (column_1 only, e.g. "p.70") and
  footer rows (last single-cell row, e.g. page number "212") from
  the vocabulary table into zone-level metadata (page_refs, footer)
  so the frontend can render them separately

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 08:42:53 +01:00
Benjamin Admin
4290f70885 Fix unbracketed IPA continuations: detect garbled IPA in single-cell rows
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Step 5d now also processes IPA continuations without brackets (e.g.
"ska:f – ska:vz", "'sekandarr sku:l") when the row has only 1 content
cell and the text is pure-ASCII garbled IPA (no real IPA Unicode symbols).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 08:30:44 +01:00
Benjamin Admin
5c935eec23 Refine garbled IPA filter: skip only pure-ASCII garbled text, not text with real IPA
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"Theme [θˈiːm]" contains real IPA symbols (θ, ˈ) and should NOT be filtered.
Only filter text that has garbled IPA markers (:, ') but no real Unicode IPA chars.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 08:15:51 +01:00
Benjamin Admin
c4a5cd2d8a Skip garbled IPA text in single-cell heading detection
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Unbracketed IPA continuations like "ska:f – ska:vz" were falsely detected
as headings. Now _text_has_garbled_ipa() filters them out.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 08:11:02 +01:00
Benjamin Admin
bc5ab29c06 Fix false positive: exclude first/last rows from single-cell heading detection
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Page numbers like "two hundred and twelve" in the last row were falsely
detected as headings. Now first and last non-header rows are excluded.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 08:06:05 +01:00
Benjamin Admin
7c5d95b858 Fix heading col_index + detect black single-cell headings like "Theme"
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- Color headings now preserve actual starting col_index instead of hardcoded 0
- New _detect_heading_rows_by_single_cell: detects rows with only 1 content
  cell (excl. page_ref) as headings — catches black headings like "Theme"
  that have normal color/height but are alone in their row
- Runs after Step 5d (IPA continuation) to avoid false positives
- 5 new tests (32 total)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 08:00:06 +01:00
Benjamin Admin
65059471cf Update OCR Pipeline docs: Grid Editor v4.7.0 with zone merging, heading detection, IPA fixes
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 07:05:14 +01:00
Benjamin Admin
58c9565ba5 Fix en_col_type detection: use bracket IPA count instead of longest avg text
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The previous heuristic picked the column with the longest average text as
the English headword column. In layouts with long example sentences, this
picked the wrong column (examples instead of headwords). Now counts cells
with bracket patterns per column — the column with the most brackets is
the headword column where IPA needs fixing.

Fixes garbled OCR-IPA like "change [tfeind3]" → "change [tʃˈeɪndʒ]".

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 06:50:47 +01:00
Benjamin Admin
92a7b85c2d Fix IPA continuation: only process fully-bracketed cells, keep phrasal verb particles
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Two fixes:
1. Step 5d now only treats cells as continuation when text is entirely
   inside brackets (e.g. "[n, nn]"). Cells with headwords outside brackets
   (e.g. "employee [im'ploi:]") are no longer overwritten.
2. fix_ipa_continuation_cell no longer skips grammar words like "down" —
   they are part of the headword in phrasal verbs like "close sth. down".

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 00:43:51 +01:00
Benjamin Admin
5f89913a9a Fix IPA continuation to check all columns, not just en_col_type
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The en_col_type heuristic (longest avg text) picks the example column,
missing IPA continuation cells in the actual headword column. Now Step 5d
checks all column_* cells for garbled IPA patterns independently.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 23:34:41 +01:00
Benjamin Admin
3c7fc43f43 Fix test expectation: valid IPA in brackets also triggers detection
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 23:30:24 +01:00
Benjamin Admin
6bfa9eed86 Fix garbled IPA detection for bracket-notation like [n, nn] and [1uedtX,1]
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- Detect bracketed text without real IPA symbols as garbled OCR phonetics
- Allow IPA continuation fix even when other columns have content (for rows
  where EN cell is clearly garbled bracketed IPA)
- Strip parenthetical grammar annotations like (no pl) from headword before
  IPA lookup in fix_ipa_continuation_cell

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 23:28:00 +01:00
Benjamin Admin
7750b2a05f Fix ghost filter for borderless boxes + remove oversized graphic artifacts
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1. Skip ghost filtering for boxes with border_thickness=0 (images/graphics
   have no border lines to produce OCR artifacts like |, I)
2. Remove individual word_boxes with height > 3x zone median (OCR from
   graphics like a huge "N" from a map image below text)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 23:04:00 +01:00
Benjamin Admin
e3395ae8cf Fix overlay word leak, ghost filter false positive, merged zone header
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1. Filter words inside image_overlays (removes OCR from images)
2. Ghost filter: only remove single-char border artifacts, not multi-char
   like (= which is real content
3. Skip first-row header detection for zones with image_overlays
   (merged geometry creates artificial gaps)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 13:56:04 +01:00
Benjamin Admin
df30d4eae3 Add zone merging across images + heading detection by color/height
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Zone merging: content zones separated by box zones (images) are merged
into a single zone with image_overlays, so split tables reconnect.
Heading detection: after color annotation, rows where all words are
non-black and taller than 1.2x median are merged into spanning heading cells.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 12:22:11 +01:00
Benjamin Admin
2e6ab3a646 Fix IPA marker split: walk back max 3 chars for onset cluster
The walk-back was going 4 chars, eating the last letter of the
headword: "schoolbag" → "schoolba". Limiting to 3 gives correct
split: "schoolbag" + "[sku:lbæg]".

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 10:57:15 +01:00
Benjamin Admin
cc5ee74921 Use OCR-recognized IPA when word not in dictionary
For merged tokens like "schoolbagsku:lbæg", split at IPA marker
boundary instead of prefix-matching to a shorter dictionary word.
Result: "schoolbag [sku:lbæg]" instead of "school [skˈuːl]".

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 10:55:36 +01:00
Benjamin Admin
21d37b5da1 Fix prefix matching: use alpha-only chars, min 4-char prefix
Prevents false positives where punctuation (apostrophes) in merged
tokens caused wrong dictionary matches (e.g. "'se" from "'sekandarr"
matching as a word, breaking IPA continuation row fix).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 10:40:37 +01:00
Benjamin Admin
19cbbf310a Improve garbled IPA cleanup: trailing strip, prefix match, broader guard
1. Strip trailing garbled IPA after proper [IPA] brackets
   (e.g. "sea [sˈiː] si:" → "sea [sˈiː]")
2. Add prefix matching for merged tokens where OCR joined headword
   with garbled IPA (e.g. "schoolbagsku:lbæg" → "schoolbag [skˈuːlbæɡ]")
3. Broaden guard to also trigger on trailing non-dictionary words
   (e.g. "scare skea" → "scare [skˈɛə]")

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 10:36:25 +01:00
Benjamin Admin
fc0ab84e40 Fix garbled IPA in continuation rows using headword lookup
IPA continuation rows (phonetic transcription that wraps below the
headword) now get proper IPA by looking up headwords from the row
above. E.g. "ska:f – ska:vz" → "[skˈɑːf] – [skˈɑːvz]".

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 10:28:14 +01:00
Benjamin Admin
050d410ba0 Preserve IPA continuation rows in grid output
Stop removing rows that contain only phonetic transcription below
the headword. These rows are valid content that users need to see.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 10:22:58 +01:00
Benjamin Admin
038eaf783c Only insert IPA when garbled phonetics exist in OCR text
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_insert_missing_ipa was adding dictionary IPA to cells that had NO
phonetic transcription on the original page (e.g. "scissors" heading,
"scarf - scarves" without IPA). Now guarded by _text_has_garbled_ipa()
which checks for OCR-mangled phonetic markers (stress marks, length
marks, IPA special chars) before allowing insertion.

Rule: if a line has no phonetics, don't add any. Where garbled IPA
exists, replace it with correct IPA notation.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 09:59:21 +01:00
Benjamin Admin
432eee3694 Auto-filter decorative margin strips and header junk
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- _filter_decorative_margin: Phase 2 now also removes short words (<=3
  chars) in the same narrow x-range as the detected single-char strip,
  catching multi-char OCR artifacts like "Vv" from alphabet graphics.
- _filter_header_junk: New filter detects the content start (first row
  with 3+ high-confidence words) and removes low-conf short fragments
  above it that are OCR artifacts from header illustrations.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 09:38:24 +01:00
Benjamin Admin
8e4cbd84c2 Invalidate grid_editor_result when exclude regions change
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When exclude regions are saved or deleted, the cached grid result is
cleared so the grid rebuilds with updated exclusions on the next step.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 09:19:09 +01:00
Benjamin Admin
f9d71d50d1 Add exclude region marking in Structure step
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Users can now draw rectangles on the document image in the Structure
Detection step to mark areas (e.g. header graphics, alphabet strips)
that should be excluded from OCR results during grid building.

- Backend: PUT/DELETE endpoints for exclude regions stored in structure_result
- Backend: _build_grid_core() filters all words inside user-defined exclude regions
- Frontend: Interactive rectangle drawing with visual overlay and delete buttons
- Preserve exclude regions when re-running structure detection

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 09:08:30 +01:00
Benjamin Admin
c09838e91c Fix spine shadow false positives: require dark valley, brightness rise, trim convolution edges
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The _detect_spine_shadow function was triggering on normal text content
because shadow_range > 20 was too low and convolution edge artifacts
created artificially low values. Now requires: range > 40, darkest < 180,
narrow valley (not text plateau), and brightness rise toward page content.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 08:23:50 +01:00
Benjamin Admin
3fd6523872 Cut at spine center (darkest point) instead of shadow edge
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Refactor left/right shadow detection into shared _detect_spine_shadow()
that finds the darkest column (= book spine center) via argmin of
smoothed brightness. Both sides now cut at the spine center, ensuring
equal page sizes in double-page scans regardless of shadow position.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 07:54:33 +01:00
Benjamin Admin
e56391b0c3 Add right-edge spine shadow detection for book scans
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Mirror the left-edge shadow detection for the right side: analyze
brightness gradient in the right 25% to find scanner gray strips
from book spines. Cuts at the last bright column before the shadow
dip. Fixes cropping of book scans where the next page bleeds in.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 07:41:13 +01:00
Benjamin Admin
a3e2a7f994 Add GT button to OCR overlay, prominent category picker, track pipeline
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- Ground Truth button on last step of Pipeline/Kombi modes in ocr-overlay
- Prominent category picker in active session info bar (pulses when unset)
- GT badge shown when session has ground truth reference
- Backend: auto-detect pipeline from ocr_engine, store in GT snapshot
- Pipeline info shown in GT session list and regression reports
- Also pass pipeline param from ocr-pipeline StepGroundTruth

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 14:49:02 +01:00
Benjamin Admin
f655db30e4 Add Ground Truth regression test system for OCR pipeline
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Extract _build_grid_core() from build_grid() endpoint for reuse.
New ocr_pipeline_regression.py with endpoints to mark sessions as
ground truth, list them, and run regression comparisons after code
changes. Frontend button in StepGroundTruth.tsx to mark/update GT.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 13:46:48 +01:00
Benjamin Admin
c894a0feeb Improve IPA continuation row detection with phonetic heuristics
Strip IPA brackets that fix_cell_phonetics may have added for short
dictionary words (e.g. "si" → "[si]") before checking if the row is
a garbled phonetic continuation. Detect phonetic text by presence of
':' (length marks), leading apostrophe (stress marks), or absence of
any word with ≥3 letters.

Fixes Row 39 ("si: [si] — So: - si:n") not being removed.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 12:08:21 +01:00
Benjamin Admin
8ef4c089cf Remove IPA continuation rows and support hyphenated word lookup
- grid_editor_api: After IPA correction, detect rows containing only
  garbled phonetics in the English column (no German translation, no
  IPA brackets inserted). These are wrap-around lines where printed
  IPA extends to the line below the headword. Remove them since the
  headword row already has correct IPA.
- cv_ocr_engines: _insert_missing_ipa now tries dehyphenated form
  as fallback (e.g. "second-hand" → "secondhand") for dictionary
  lookup, fixing IPA insertion for compound words.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 12:05:38 +01:00
Benjamin Admin
821e5481c2 Only apply IPA correction on vocabulary tables (≥3 columns)
Single-column German text pages were getting IPA inserted for words
that happen to exist in the English dictionary ("die" → [dˈaɪ],
"Das" → [dɑs]). Now IPA correction only runs when the grid has ≥3
columns, which is the minimum for a vocabulary table layout
(English | article | German).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 11:50:03 +01:00
Benjamin Admin
b98ea33a3a Strip garbled OCR phonetics after IPA insertion
_insert_missing_ipa now removes garbled phonetic text (e.g. "skea",
"sku:l", "'sizaz") that follows the inserted IPA bracket. Keeps
delimiters (–, -), uppercase words (German), and known English words.

Fixes: "scare [skˈɛə] skea" → "scare [skˈɛə]"

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 11:15:14 +01:00
Benjamin Admin
f139d0903e Preserve alphabetic marker columns, broaden junk filter, enable IPA in grid
- _merge_inline_marker_columns: skip merge when ≥50% of words are
  alphabetic (preserves "to", "in", "der" columns)
- Rule 2 (oversized stub): widen to ≤3 words / ≤5 chars (catches "SEA &")
- IPA phonetics: map longest-avg-text column to column_en so
  fix_cell_phonetics runs in the grid editor
- ocr_pipeline_overlays: add missing split_page_into_zones import

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 11:08:23 +01:00
Benjamin Admin
962bbbe9f6 Remove scattered debris rows and disable spanning header detection
- Add Rule 3 to junk-row filter: rows where no word is longer than
  2 chars are removed as scattered OCR debris from illustrations
- Fully disable spanning-header detection which falsely flagged IPA
  transcriptions and vocabulary entries as spanning headers
- First-row heuristic remains for genuine header detection

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 10:47:17 +01:00
Benjamin Admin
9da45c2a59 Fix false header detection and add decorative margin/footer filters
- Remove all_colored spanning header heuristic that falsely flagged
  colored vocabulary entries (Scotland, secondary school) as headers
- Add _filter_decorative_margin: removes vertical A-Z alphabet strips
  along page margins (single-char words in a compact vertical strip)
- Add _filter_footer_words: removes page numbers in bottom 5% of page
- Tighten spanning header rule: require ≥3 columns spanned + ≤3 words

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 10:38:20 +01:00
Benjamin Admin
64447ad352 Raise color sat_threshold from 50 to 55 to avoid scanner blue artifacts
Black text has median_sat ~6-7, green text ~63-65. At threshold 50,
scanner blue tints (median_sat ~50-54) on words like "Wasser" were
falsely classified as blue. Threshold 55 has good margin on both sides.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 09:13:09 +01:00
Benjamin Admin
00cbf266cb Add oversized-stub filter for large page numbers/marks in grid rows
Rows with ≤2 words, total text ≤3 chars, and word height >1.8x median
are removed as non-content elements (e.g. red page number "( 9").

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 09:05:07 +01:00
Benjamin Admin
f9bad7beaa Filter phantom rows from recovered color artifacts and low-conf OCR noise
- Apply recovered-artifact filter to ALL zones (was box-zones only)
- Filter any recovered word with text ≤ 2 chars (not just !?•·)
- Add post-grid junk-row removal: rows where all word_boxes have
  conf < 50 and text ≤ 3 chars are dropped as OCR noise

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 09:00:43 +01:00
Benjamin Admin
143e41ec76 add: ocr_pipeline_overlays.py for overlay rendering functions
Extracted 4 overlay functions (_get_structure_overlay, _get_columns_overlay,
_get_rows_overlay, _get_words_overlay) that were missing from the initial
split. Provides render_overlay() dispatcher used by sessions module.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 08:46:49 +01:00
Benjamin Admin
ec287fd12e refactor: split ocr_pipeline_api.py (5426 lines) into 8 modules
Each module is under 1050 lines:
- ocr_pipeline_common.py (354) - shared state, cache, models, helpers
- ocr_pipeline_sessions.py (483) - session CRUD, image serving, doc-type
- ocr_pipeline_geometry.py (1025) - deskew, dewarp, structure, columns
- ocr_pipeline_rows.py (348) - row detection, box-overlay helper
- ocr_pipeline_words.py (876) - word detection (SSE), paddle-direct
- ocr_pipeline_ocr_merge.py (615) - merge helpers, kombi endpoints
- ocr_pipeline_postprocess.py (929) - LLM review, reconstruction, export
- ocr_pipeline_auto.py (705) - auto-mode orchestrator, reprocess

ocr_pipeline_api.py is now a 61-line thin wrapper that re-exports
router, _cache, and test-imported symbols for backward compatibility.
No changes needed in main.py or tests.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 08:42:00 +01:00
Benjamin Admin
98f7f7d7d5 fix: NameError in paddle_kombi/rapid_kombi cache update
The previous commit added `cached["word_result"]` but `cached` was
not defined in these functions. Changed to safely check `_cache` dict
first. Also includes sat_threshold fix (70→50) for green text.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 08:12:01 +01:00
Benjamin Admin
a19bca6060 fix: lower color sat_threshold from 70 to 50 for green text detection
Green text words like "Insel" and "Internet" had median_sat=65, just
below the threshold of 70, causing them to be classified as black.
Black text has median_sat=6-7, so threshold=50 provides clear
separation (6-7 vs 63-65) without false positives.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 08:00:35 +01:00
Benjamin Admin
7a76697f95 fix: always re-run structure detection instead of using cached result
The frontend was checking for an existing structure_result and reusing
it, which meant the backend fix (passing word_boxes to graphic detection)
never had a chance to run on existing sessions.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 07:43:44 +01:00
Benjamin Admin
5359a4cc2b fix: cache word_result in paddle_kombi/rapid_kombi for detect-structure
Both kombi OCR functions wrote word_result to DB but not to the
in-memory cache. When detect-structure ran next, it found no words
and passed an empty list to graphic detection, making all word-overlap
heuristics ineffective. This caused green text words to be wrongly
classified as graphic regions.

Also adds a fallback in detect-structure to use raw OCR word lists
if cell word_boxes are empty.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 07:29:02 +01:00
Benjamin Admin
a25214126d fix: merge overlapping OCR words with different text (Stick/Stück)
Two issues in paddle-kombi word merge:

1. Overlap threshold too strict: PaddleOCR "Stick" and Tesseract
   "Stück" overlap at 48.6%, just below the 50% threshold. Both words
   ended up in the result, overlapping on the same position.
   Fix: lower threshold from 50% to 40%.

2. Text selection blind to confidence: always took PaddleOCR text
   even when Tesseract had higher confidence and correct text.
   Fix: when texts differ due to spatial-only match, prefer the
   engine with higher confidence.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-18 07:00:57 +01:00
Benjamin Admin
fd79d5e4fa fix: prevent grid table overflow when union columns exceed zone bbox
When union columns from multiple content zones are applied, column
boundaries can span wider than any single zone's bbox. Using
zone.bbox_px.w as the scale reference caused the total scaled width
to exceed the container, pushing the table off-screen.

Now uses the actual total column width sum as the scale reference,
guaranteeing columns always fit within the container.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 19:43:00 +01:00
Benjamin Admin
19b93f7762 fix: conservative column detection + smart graphic word filter
Column detection:
- Raise MIN_COVERAGE_PRIMARY 20%→35% (prevents false columns in
  flowing text where random gaps < 35% of rows)
- Raise MIN_COVERAGE_SECONDARY 12%→20%, MIN_DISTINCT_ROWS 2→3
- Vocabulary worksheets unaffected (columns appear in >80% of rows)

Graphic word filter:
- Only remove words with OCR confidence < 50 inside graphic regions
- High-confidence words are real text, not image artifacts
- Prevents legitimate colored text from being discarded

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 18:19:25 +01:00
Benjamin Admin
a079ffe8e9 fix: robust colored-text detection in graphic filter
The 25x25 dilation kernel merges nearby green words into large regions,
so pixel-overlap with OCR word boxes drops below 50%. Previous density
checks alone weren't sufficient.

New multi-layered approach:
- Count OCR word CENTROIDS inside each colored region
- ≥2 centroids → definitely text (images don't produce multiple words)
- 1 centroid + 10%+ pixel overlap → likely text
- Lower pixel overlap threshold from 50% to 40%
- Raise density+height thresholds for text-line detection
- Use INFO logging to diagnose remaining false positives

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 18:09:16 +01:00
Benjamin Admin
6e1d715d0d fix: prevent colored text from being falsely detected as graphics
Add color pixel density checks to cv_graphic_detect.py Pass 1:
- density < 20% → skip (text strokes are thin, images are filled)
- density < 30% + height < 4% page → skip (colored text line)

This fixes green headings (Insel, Internet, Inuit) being removed
as graphic regions, which also caused word reordering in lines.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 17:30:35 +01:00
Benjamin Admin
d66efdecf5 fix: NameError in detect_page_splits — 'gaps' var removed in rewrite
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 17:01:34 +01:00
Benjamin Admin
d36972b464 fix: detect spine by brightness, not ink density
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The previous algorithm used binary ink projection and found false
splits at normal text column gaps. The spine of a book on a scanner
has a characteristic DARK gray strip (scanner bed) flanked by bright
white paper on both sides.

New approach: column-mean brightness with heavy smoothing, looking for
a dark valley (< 88% of paper brightness) in the center region that
has bright paper on both sides.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 16:52:29 +01:00
Benjamin Admin
f30e526917 fix: merge nearby spine gaps + handle multi-page crop in frontend
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Backend: merge gaps within 5% of image width — the spine area may have
thin ink strips splitting one physical gap into multiple detected gaps.
Only use gaps >= 2% width as split points.

Frontend: StepCrop now handles multi_page crop responses without
crashing on missing original_size/cropped_size fields.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 16:44:32 +01:00
Benjamin Admin
438a4495c7 fix: swap 90°/270° rotation direction in orientation detection
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Tesseract OSD 'rotate' returns the clockwise correction needed,
but the code was applying counterclockwise for 90° and clockwise
for 270° — exactly reversed. This caused pages scanned sideways
to be flipped upside down instead of corrected.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 16:39:15 +01:00
Benjamin Admin
902de027f4 feat: auto-detect multi-page spreads and split into sub-sessions
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When a book scan (double-page spread) is detected during the crop step,
the system automatically:
1. Detects vertical center gaps (spine area) via ink density projection
2. Splits into N page sub-sessions (reusing existing sub-session mechanism)
3. Individually crops each page (removing its own borders)
4. Returns sub-session IDs for downstream pipeline processing

Detection: landscape images (w > h * 1.15), vertical gap < 15% peak
density in center region (25-75%), gap width >= 0.8% of image width.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 16:34:06 +01:00
Benjamin Admin
b1cdb2531c feat: CSS Grid editor with OCR-measured column widths and row heights
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Backend: add layout_metrics (avg_row_height_px, font_size_suggestion_px)
to build-grid response for faithful grid reconstruction.

Frontend: rewrite GridTable from HTML <table> to CSS Grid layout.
Column widths are now proportional to the OCR-measured x_min/x_max
positions. Row heights use the average content row height from the
scan. Column and row resize via drag handles (Excel-like).

Font: add Noto Sans (supports IPA characters) via next/font/google.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 13:48:47 +01:00
Benjamin Admin
ab30e8b17a feat: apply IPA phonetic correction in build-grid combo mode
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fix_cell_phonetics was only called in the OCR pipeline endpoints
(/words, /cells) but not in the combo mode (build-grid / ocr-overlay).
Garbled IPA like [teist] is now corrected to [teɪst] using the
IPA dictionary, same as in the pipeline.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 12:53:58 +01:00
Benjamin Admin
b0e1fbc8d6 feat: box zone artifact filter, spanning headers, parenthesis fix
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1. Filter recovered single-char artifacts (!, ?, •) from box zones
   where they are decorative noise, not real text markers

2. Detect spanning header rows (e.g. "Unit4: Bonnie Scotland") that
   stretch across multiple columns with colored text. Merge their
   cells into a single spanning cell in column 0.

3. Fix missing opening parentheses: when cell text has ")" but no
   matching "(", prepend "(" to the text.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 11:31:55 +01:00
Benjamin Admin
872b47f691 fix: filter words and color recoveries inside graphic/image regions
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- Load structure_result from session to get detected graphic bounds
- Exclude OCR words whose center falls inside a graphic region
- Exclude recovered colored text inside graphic regions
- Reject color recovery regions wider than 4x median word height

Fixes garbage characters (!, ?, •) in box zones and false OCR
detections (N, ?) in image areas.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 11:20:07 +01:00
Benjamin Admin
bbf0a5720e fix: require both horizontal AND vertical overlap for word dedup
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Previous version only checked X overlap, causing false positives for
short words like "=" and "I" that appear at similar X positions in
different rows. Now requires >=50% overlap in both dimensions.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 10:57:44 +01:00
Benjamin Admin
29d3c1caf5 fix: deduplicate overlapping words after Paddle+Tesseract merge
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PaddleOCR can return overlapping phrases (e.g. "von jm." and "jm. =")
that produce duplicate words after splitting. Added _deduplicate_words()
post-merge pass that removes words with same text at overlapping positions.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 10:47:42 +01:00
Benjamin Admin
aae8a96aa2 fix: sort word_boxes in reading order (Y-grouped, then X-sorted)
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Words on the same visual line can have slightly different top values
(1-6px). Sorting by (top, left) produced wrong word order in the
frontend display. Now uses _group_words_into_lines to group by Y
proximity first, then sort by X within each line.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 10:41:30 +01:00
Benjamin Admin
2b73d9beec fix: increase color recovery occupancy padding to prevent gap artifacts
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Colored-pixel fragments in narrow inter-word gaps were being recovered
as false characters (e.g., "!" between "lend" and "sb."), disrupting
word order. Use adaptive padding based on median word height instead
of fixed 4px.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 10:28:56 +01:00
Benjamin Admin
324f39a9cc fix: merge inline marker columns + improve ghost edge detection
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1. Add _merge_inline_marker_columns(): narrow columns (<80px) with
   avg word length <=2 chars (bullets, numbering) are merged into
   the adjacent text column. Fixes box zones getting 2 columns when
   bullet points are just indentation markers.

2. Improve ghost filter: check word edges (left/right/top/bottom)
   against border bands instead of center-only. Catches = at x=947
   whose left edge touches the box border.

3. Add = and + to _GRID_GHOST_CHARS for border artifact detection.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 10:10:07 +01:00
Benjamin Admin
febd0a2f84 fix: border ghost filter + row overlap fix for box zones
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1. Add _filter_border_ghosts() to grid editor - removes OCR artefacts
   like | sitting on box borders before row/column clustering.
   The tall | (h=55) was inflating row 0's y_max, causing row overlap.

2. Fix _assign_word_to_row() to prefer closest y_center when rows
   overlap, instead of always returning the first matching row.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 09:54:50 +01:00
Benjamin Admin
43b1f8be58 diag: increase zone logging threshold to 60 words
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Box zones have 40-60 words, need to capture their diagnostics.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 09:49:19 +01:00
Benjamin Admin
43dec5dd91 diag: add row-clustering logging for small/box zones
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Logs word positions, median height, Y tolerance, and resulting
rows for zones with <= 30 words to diagnose row merging issues.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 09:45:29 +01:00
Benjamin Admin
dfce8415d7 fix: show per-word colors in grid table instead of whole-cell coloring
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When a cell has colored words (red !, blue phonetics), render each
word as a separate span with its own color instead of coloring the
entire input text with the first non-black color found.

Switches to editable input on cell selection (click).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 08:55:43 +01:00
Benjamin Admin
92a52a3199 fix: apply column union when total_cols >= max (not just >)
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Zone 4 found 4 columns incl. page_ref, union also yields 4.
The strict > check prevented union from applying to Zone 0.
Changed to >= so all content zones get the merged column set.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 00:14:59 +01:00
Benjamin Admin
427fecdce0 fix: union column detection across all content zones
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Instead of propagating columns from the largest content zone only
(which missed narrow columns like page_ref), collect column split
points from ALL content zones and merge them. This way a column
found in any zone (e.g. page_ref at x=132 in the zone below boxes)
is available everywhere.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 23:02:33 +01:00
Benjamin Admin
9fb3229270 fix: lower tertiary gap threshold for narrow margin column detection
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Reduce gap threshold from max(40, 5%) to max(30, 2%) so page_ref
columns (e.g. p.55/p.57) at ~56px gap are detected as tertiary columns.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 22:56:03 +01:00
Benjamin Admin
91625a2646 fix: add tertiary tier for narrow margin columns (page refs, markers)
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Page references (p.55, p.57) and marker columns (!) appear in very few
rows (< 12% coverage) but sit at the far left/right margin with a clear
gap to the main content.  Add a third detection tier that catches these
narrow margin columns when they have >= 2 distinct rows and are within
15% of the content edge with >= 40px gap to the nearest main column.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 22:40:40 +01:00
Benjamin Admin
02ae6249ca fix: propagate columns from largest content zone instead of global detection
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Global column detection diluted narrow sub-columns (page refs, markers)
because they appeared in too few rows relative to the total.  Instead,
detect columns per zone independently, then propagate the best columns
(from the content zone with the most words) to smaller content zones.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 22:30:15 +01:00
Benjamin Admin
cf995f2d52 fix: global column detection across content zones in Kombi grid builder
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Content zones (above/between/below boxes) now share the same column
structure: columns are detected once from ALL content-zone words, then
applied to each content zone.  Box zones still detect columns independently.

This fixes the issue where narrow columns (page refs like p.55) were not
detected in small content zones above boxes, even though the same column
existed in the larger content zone below the box.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 22:04:17 +01:00
Benjamin Admin
0340204c1f feat: box-aware column detection — exclude box content from global columns
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- Enrich column geometries with original full-page words (box-filtered)
  so _detect_sub_columns() finds narrow sub-columns across box boundaries
- Add inline marker guard: bullet points (1., 2., •) are not split into
  sub-columns (minimum gap check: 1.2× word height or 20px)
- Add box_rects parameter to build_grid_from_words() — words inside boxes
  are excluded from X-gap column clustering
- Pass box rects from zones to words_first grid builder
- Add 9 tests for box-aware column detection

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 18:42:46 +01:00
Benjamin Admin
729ebff63c feat: add border ghost filter + graphic detection tests + structure overlay
- Add _filter_border_ghost_words() to remove OCR artefacts from box borders
  (vertical + horizontal edge detection, column cleanup, re-indexing)
- Add 20 tests for border ghost filter (basic filtering + column cleanup)
- Add 24 tests for cv_graphic_detect (color detection, word overlap, boxes)
- Clean up cv_graphic_detect.py logging (per-candidate → DEBUG)
- Add structure overlay layer to StepReconstruction (boxes + graphics toggle)
- Show border_ghosts_removed badge in StepStructureDetection
- Update MkDocs with structure detection documentation

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 18:28:53 +01:00
Benjamin Admin
6668661895 feat: region-based graphic detection with word-overlap filtering
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New approach: dilate color mask heavily (25x25) to merge nearby colored
pixels into regions, then check word overlap:
- >50% overlap with OCR word boxes → colored text → skip
- <50% overlap → colored image/graphic → keep

This detects balloon clusters as one "image" region instead of trying
to classify individual shapes. Red words like "borrow/lend" are filtered
because they overlap with their word boxes.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 14:49:15 +01:00
Benjamin Admin
eeee61108a fix: remove morph close that merged balloons into giant blob
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The 5x5 MORPH_CLOSE was connecting scattered color pixels into one
page-spanning contour that swallowed individual balloons. Fix:
- Remove MORPH_CLOSE, keep only MORPH_OPEN for speckle removal
- Lower sat threshold 50→40 to catch more colored elements
- Filter contours spanning >50% of width OR height (was AND)
- Filter contours >10% of image area

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 14:42:51 +01:00
Benjamin Admin
1653e7cff4 feat: two-pass graphic detection (color channel + ink)
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Pass 1 (color): Detect colored graphics on HSV saturation channel.
Black text is invisible on this channel, so no word exclusion needed.
Catches colored balloons, arrows, icons reliably.

Pass 2 (ink): Detect large black illustrations on dark ink mask
minus word exclusion. Only keeps area > 5000 to avoid text fragments.

Fixes: all 5 balloons now detectable (previously word exclusion zones
were eating colored graphics that overlapped with nearby OCR words).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 14:30:33 +01:00
Benjamin Admin
86ae71fd65 fix: only detect circles and illustrations, drop arrow/icon/line
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Text fragments after word exclusion are indistinguishable from arrows
and icons via contour metrics. Since the goal is detecting graphics,
images, boxes and colors (not arrows/icons), simplify to only:
- circle/balloon (circularity > 0.55 — very reliable)
- illustration (area > 3000 — clearly non-text)

Boxes and colors are handled by cv_box_detect and cv_color_detect.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 14:20:17 +01:00
Benjamin Admin
ba513968c5 fix: relax graphic detection for small circles/balloons
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- Lower min_area from 200 to 80 (small balloons ~100-300px²)
- Lower word_pad from 10 to 5 (10px was eating nearby graphics)
- Relax circle detection: circularity>0.55, min_dim>15 (was 0.70/25)
- Text fragments still filtered by _classify_shape noise threshold
- Add ACCEPT logging for debugging

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 14:00:09 +01:00
Benjamin Admin
f717e1c0df debug: use INFO level for skip-reason logs
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 13:57:08 +01:00
Benjamin Admin
934b5648a2 debug: add detailed skip-reason logging to graphic detection
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 13:56:12 +01:00
Benjamin Admin
fe7339c7a1 fix: suppress text fragments in graphic detection
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- Raise min_area from 30 to 200 (text fragments are small)
- Raise word_pad from 3 to 10px (OCR bboxes are tight)
- Reduce morph close kernel from 5x5 to 3x3 (avoid reconnecting text)
- Tighten arrow detection: min 20px, circularity<0.35, >=2 defects
- Add 'noise' category for too-small elements, filter them out
- Raise min dimension from 4 to 8px
- Add debug logging for word count and exclusion coverage
- Raise max_area_ratio to 0.25 (allow larger illustrations)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 13:51:02 +01:00
Benjamin Admin
3aa4a63257 fix: move Struktur step after OCR so word boxes are available for exclusion
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Graphic detection needs word positions to exclude text from the ink mask.
Previously Struktur ran before OCR, causing every word to be detected as
a graphic element. Now:
- Pipeline: Struktur at index 7 (after Wörter)
- Kombi: Struktur at index 5 (after PP-OCRv5+Tesseract, before Tabelle)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 13:38:58 +01:00
Benjamin Admin
6b9b280ba3 feat: integrate graphic element detection into structure step
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Add cv_graphic_detect.py for detecting non-text visual elements (arrows,
circles, lines, exclamation marks, icons, illustrations). Draw detected
graphics on structure overlay image and display them in the frontend
StepStructureDetection component with shape counts and individual listings.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 13:21:55 +01:00
Benjamin Admin
1d34785e2b feat: add Structure step to Kombi mode in OCR Overlay page
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Insert the Struktur detection step between Zuschneiden and
PP-OCRv5+Tesseract in the Kombi pipeline on /ai/ocr-overlay.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 12:59:05 +01:00
Benjamin Admin
5b5213c2b9 feat: add Structure Detection step to OCR pipeline
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New pipeline step between Crop and Columns that visualizes detected
document structure: boxes (line-based + shading), page zones, and
color regions. Shows original image on the left, annotated overlay
on the right.

Backend: POST /detect-structure endpoint + /image/structure-overlay
Frontend: StepStructureDetection component with zone/box/color details

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 12:31:09 +01:00
Benjamin Admin
fbbec6cf5e feat: run shading-based box detection alongside line detection
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Previously color/shading detection only ran as fallback when no line-based
boxes were found. Now both methods run in parallel with result merging,
so smaller shaded boxes (like "German leihen") get detected even when
larger bordered boxes are already found. Uses median-blur background
analysis that works for both colored and grayscale/B&W scans.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 08:12:52 +01:00
Benjamin Admin
a6951940b9 fix: use median hue, Otsu threshold, and background subtraction for colors
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- Median hue instead of mean (robust to background contamination)
- Otsu threshold instead of fixed 180 (adapts to colored backgrounds)
- Background sampling from border pixels with hue-distance filter
- Higher sat_threshold (70) + min_sat_ratio (25%) to reduce false positives
- Classify using saturated pixels only for cleaner hue signal

Fixes: borrow/lend misdetected as orange (actually red, median_H=5)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 07:44:03 +01:00
Benjamin Admin
4a8d43fd71 feat: display detected text colors in grid editor UI
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- Add color/color_name/recovered fields to OcrWordBox type
- GridTable: show colored text + left-edge color indicator strip
- GridEditor: show color stats and recovered count in summary bar

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-15 01:03:09 +01:00
Benjamin Admin
bcd55e12d7 fix: run color annotation on final cell word_boxes, not pre-grid words
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_build_cells() creates new word_box dicts, so color fields set before
grid building were lost. Now detect_word_colors() runs after cells
are built, on the final word_boxes. Recovery still runs before grid
building so recovered words participate in column/row detection.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-15 00:53:04 +01:00
Benjamin Admin
2bd63ec402 feat: add color detection for OCR word boxes
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New cv_color_detect.py module:
- detect_word_colors(): annotates existing words with text color (HSV analysis)
- recover_colored_text(): finds colored text regions missed by standard OCR
  (e.g. red ! markers) using HSV masks + contour detection

Integrated into build-grid: words get color/color_name fields, recovered
colored regions are merged into the word list before grid building.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-15 00:50:09 +01:00
Benjamin Admin
39a4d8564c chore: add per-cluster debug logging for column alignment detection
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-15 00:18:28 +01:00
Benjamin Admin
1162eac7b4 fix: use group-start positions for column detection, not all word left-edges
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Only cluster left-edges of words that begin a new group within their row
(first word or preceded by a large gap). This filters out mid-phrase
word positions (IPA transcriptions, second words in multi-word entries)
that were causing too many false columns.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-15 00:10:29 +01:00
Benjamin Admin
28352f5bab feat: replace gap-based column detection with left-edge alignment algorithm
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Column detection now clusters word left-edges by X-proximity and filters
by row coverage (Y-coverage), matching the proven approach from cv_layout.py
but using precise OCR word positions instead of ink-based estimates.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-15 00:03:58 +01:00
Benjamin Admin
c3f1547e32 feat: add Excel-like grid editor for OCR overlay (Kombi mode step 6)
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Backend: new grid_editor_api.py with build-grid endpoint that detects
bordered boxes, splits page into zones, clusters columns/rows per zone
from Kombi word positions. New DB column grid_editor_result JSONB.

Frontend: GridEditor component with editable HTML tables per zone,
column bold toggle, header row toggle, undo/redo, keyboard navigation
(Tab/Enter/Arrow), image overlay verification, and save/load.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-14 23:41:03 +01:00
Benjamin Admin
4a15d46dfd refactor: rename PaddleOCR → PP-OCRv5 in frontend, remove Kombi-Vergleich tab
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Since ocr_region_paddle() now runs RapidOCR locally (same PP-OCRv5 models),
the "PaddleOCR (Hetzner)" labels were misleading. Renamed to "PP-OCRv5 (lokal)".
Removed the Kombi-Vergleich tab since both sides would produce identical results.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-14 09:11:26 +01:00
Benjamin Admin
b83b38e7f2 feat: use local RapidOCR as default in ocr_region_paddle(), remote as fallback
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RapidOCR uses the same PP-OCRv5 ONNX models locally, avoiding 504 timeouts
from remote PaddleOCR on large images. Set FORCE_REMOTE_PADDLE=1 to bypass.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-14 08:26:04 +01:00
Benjamin Admin
a994ddee83 feat: add Kombi-Vergleich mode for side-by-side Paddle vs RapidOCR comparison
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Add /rapid-kombi backend endpoint using local RapidOCR + Tesseract merge,
KombiCompareStep component for parallel execution and side-by-side overlay,
and wordResultOverride prop on OverlayReconstruction for direct data injection.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-14 07:59:06 +01:00
Benjamin Admin
c2c082d4b4 docs+tests: update OCR Pipeline docs and add overlay position tests
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MkDocs: document row-based merge algorithm, spatial overlap dedup,
and per-word yPct/hPct rendering in OCR Pipeline docs.

Tests: add 9 vitest tests for useSlideWordPositions covering
word-box path, fallback path, and yPct/hPct contract.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-13 21:03:00 +01:00
Benjamin Admin
d6f51e4418 fix: deduplicate overlapping OCR words and use per-word Y positions in overlay
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Backend: Add spatial overlap check (>=50% horizontal IoU) to Kombi merge
so words at the same position are deduplicated even when OCR text differs.

Frontend: Add yPct/hPct to WordPosition so each word renders at its actual
vertical position instead of all words collapsing to the cell center Y.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-13 20:27:08 +01:00
Benjamin Admin
703e110bab fix: split PaddleOCR multi-word boxes before merge
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PaddleOCR returns entire phrases as single boxes (e.g. "More than 200
singers took part in the"). The merge algorithm compared word-by-word
but Paddle had multi-word boxes vs Tesseract's individual words, so
nothing matched and all Tesseract words were added as "extras" causing
duplicates. Now splits Paddle boxes into individual words before merge.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-13 10:39:10 +01:00
Benjamin Admin
41ff7671cd fix: update PaddleOCR init for v3.4+ API (lang=en, ocr_version=PP-OCRv5)
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PaddleOCR 3.4.0 removed 'latin' language support. Use 'en' with
explicit ocr_version='PP-OCRv5' instead, with fallback for older API.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-13 09:39:33 +01:00
Benjamin Admin
8e42e36ee4 fix: replace deprecated libgl1-mesa-glx with libgl1 in paddleocr Dockerfile
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Package was removed in Debian Trixie.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-13 09:11:12 +01:00
Benjamin Admin
24e1e93b5b fix: save raw paddle/tesseract words in kombi session for debugging
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-13 09:03:01 +01:00
Benjamin Admin
846292f632 fix: rewrite Kombi merge with row-based sequence alignment
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Replaces position-based word matching with row-based sequence alignment
to fix doubled words and cross-line averaging in Kombi-Modus.

New algorithm:
1. Group words into rows by Y-position clustering
2. Match rows between engines by vertical center proximity
3. Within each row: walk both sequences left-to-right, deduplicating
4. Unmatched rows kept as-is

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-13 08:45:03 +01:00
Benjamin Admin
4280298e02 fix: add _deduplicate_words safety net to Kombi merge
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Even after multi-criteria matching, near-duplicate words can slip through
(same text, centers within 30px horizontal / 15px vertical). The new
_deduplicate_words() removes these, keeping the higher-confidence copy.

Regression test with real session data (row 2 with 145 near-dupes)
confirms no duplicates remain after merge + deduplication.

Tests: 37 → 45 (added TestDeduplicateWords, TestMergeRealWorldRegression).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-13 08:27:45 +01:00
Benjamin Admin
4f2fb0e94c fix: Kombi-Modus merge now deduplicates same words from both engines
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The merge algorithm now uses 3 criteria instead of just IoU > 0.3:
1. IoU > 0.15 (relaxed threshold)
2. Center proximity < word height AND same row
3. Text similarity > 0.7 AND same row

This prevents doubled overlapping words when both PaddleOCR and
Tesseract find the same word at similar positions. Unique words
from either engine (e.g. bullets from Tesseract) are still added.

Tests expanded: 19 → 37 (added _box_center_dist, _text_similarity,
_words_match tests + deduplication regression test).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-13 08:11:31 +01:00
Benjamin Admin
61c8169f9e docs+test: add Kombi-Modus tests (19 passing) and MkDocs documentation
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- test_paddle_kombi.py: 6 IoU tests, 10 merge tests, 2 bullet-point tests
- OCR-Pipeline.md: new "OCR Overlay" section with Paddle Direct/Kombi docs,
  merge algorithm flowchart, dateistruktur update, changelog v4.5.0

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 20:18:46 +01:00
Benjamin Admin
e9ccd1e35c feat: add Kombi-Modus (PaddleOCR + Tesseract) for OCR Overlay
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Runs both OCR engines on the preprocessed image and merges results:
word boxes matched by IoU, coordinates averaged by confidence weight.
Unmatched Tesseract words (bullets, symbols) are added for better coverage.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 20:05:50 +01:00
Benjamin Admin
d335a7bbf3 fix: use OCR word_box coordinates directly instead of fuzzy matching
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The slide positioning hook was re-matching cell.text tokens against
word_boxes via fuzzy text similarity, which broke positioning for
special characters (!, bullet points, IPA). Now uses word_box
coordinates directly — exact OCR positions without re-interpretation.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 18:54:37 +01:00
Benjamin Admin
1f527fcd49 fix: split PaddleOCR boxes at leading ! for overlay word positioning
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When PaddleOCR returns "!Betonung" as a single word box, the overlay
positions text starting at the "!" instead of the actual word. Split
such boxes into ["!", "Betonung"] with proportional position splitting,
matching the existing IPA bracket splitting logic.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 17:46:17 +01:00
Benjamin Admin
8349c28f54 fix: paddle_direct reuses build_grid_from_words for correct overlay
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Replaces custom _paddle_words_to_grid_cells with the proven
build_grid_from_words from cv_words_first.py — same function the
regular pipeline uses with PaddleOCR. Handles phrase splitting,
column clustering, and produces cells with word_boxes that the
slide/cluster positioning hooks expect.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 17:19:52 +01:00
Benjamin Admin
71a1b5f058 fix: paddle_direct groups words per row (matching _build_cells format)
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One cell per row with all words as word_boxes instead of one cell per
word. Gives OverlayReconstruction a row-spanning bbox_pct for correct
font sizing and per-word positions for slide/cluster placement.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 17:10:10 +01:00
Benjamin Admin
c743a38eaf fix: Paddle Direct keeps preprocessing (orient/deskew/dewarp/crop)
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Uses the cropped/dewarped image instead of the original so the overlay
shows the correctly oriented page. 5 steps instead of 2.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 16:56:18 +01:00
Benjamin Admin
90c1efd9b0 feat: Paddle Direct — 1-click OCR without deskew/dewarp/crop
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New 2-step mode (Upload → PaddleOCR+Overlay) alongside the existing
7-step pipeline. Backend endpoint runs PaddleOCR on the original image
and clusters words into rows/cells directly. Frontend adds a mode
toggle and PaddleDirectStep component.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 16:41:55 +01:00
Benjamin Admin
06d63d18f9 fix: generic fuzzy text matching for overlay word-box positioning
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Replace sequential 1:1 token-to-box mapping with fuzzy text matching.
Each token from cell.text finds its best matching word_box by text
similarity (normalized prefix match + substring bonus). Handles:
- Reordered boxes (different sort between text and boxes)
- IPA corrections changing token boundaries
- Token/box count mismatches
Unmatched tokens get interpolated positions from matched neighbors.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 16:19:19 +01:00
Benjamin Admin
3e65b14b83 fix: split PaddleOCR boxes at IPA brackets for overlay positioning
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PaddleOCR returns "badge[bxd3]" without space, but the IPA fixer
produces "badge [bˈædʒ]" with space, creating a token count mismatch
between cell.text and word_boxes. Now also split at "[" boundaries
so each IPA bracket gets its own sub-box.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 16:08:17 +01:00
Benjamin Admin
40ac593d28 fix: split PaddleOCR phrase boxes into per-word boxes for overlay slide
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PaddleOCR returns phrase-level bounding boxes (e.g. "competition
[kompa'tifn]" as one box) but the overlay slide mechanism expects
one box per word for accurate positioning. Multi-word boxes are now
split proportionally by character count with small gaps between words.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 16:00:06 +01:00
Benjamin Admin
ea69239e06 fix: word_boxes in words_first use absolute pixels (consistent with v2 grid)
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words_first was storing word_boxes in percent coordinates while
cv_cell_grid.py uses absolute pixel coordinates. The overlay slide
mechanism divides by imgW to get percentages, so percent-in-percent
caused positions near zero. Now both grid builders use the same format.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 15:04:04 +01:00
Benjamin Admin
bb90d1ba94 fix: PaddleOCR engine forces words_first in frontend to match backend
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When engine=paddle is selected, the backend overrides grid_method to
words_first and returns plain JSON (no SSE streaming). The frontend
was not aware of this override — it sent stream=true and tried to parse
SSE events from a JSON response, resulting in "Keine Daten".

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 14:52:18 +01:00
Benjamin Admin
685d135be5 fix: downscale large images before PaddleOCR (Traefik 60s limit)
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Bilder > 1500px werden vor dem Upload verkleinert. Koordinaten
werden zurueckskaliert. JPEG statt PNG fuer schnelleren Upload.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 14:28:58 +01:00
Benjamin Admin
e2c2acdf86 fix: increase PaddleOCR remote timeout to 120s for large scans
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 13:41:39 +01:00
Benjamin Admin
3cc496f7f3 feat(rag): Update Verbraucherschutz docs + chunk counts + Landkarte
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- Update chunk counts for 8 successfully ingested DE laws (Phase H1)
- Add 6 new BGB-Teile entries (AGB, Fernabsatz, Kaufrecht, Widerruf, Digital)
- Add EGBGB Widerrufsbelehrung entry
- Update COLLECTION_TOTALS: gesetze 58304→63567 (+5263 Phase H chunks)
- Add Verbraucherschutz thematic group to Landkarte
- Extend ecommerce industry map with consumer protection regulations
- Update date to March 2026

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 09:54:20 +01:00
Benjamin Admin
a6069631cc feat: PaddleOCR Remote-Engine (PP-OCRv5 Latin auf Hetzner x86_64)
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PaddleOCR als neue engine=paddle Option in der OCR-Pipeline.
Microservice auf Hetzner (paddleocr-service/), async HTTP-Client
(paddleocr_remote.py), Frontend-Dropdown, automatisch words_first.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 09:31:22 +01:00
Benjamin Admin
ced5bb3dd3 feat: Words-First Grid Builder (bottom-up alternative zu cell_grid_v2)
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Neuer Algorithmus in cv_words_first.py: Clustert Tesseract word_boxes
direkt zu Spalten (X-Gap) und Zeilen (Y-Proximity), baut Zellen an
Schnittpunkten. Kein Spalten-/Zeilenerkennung noetig.

- cv_words_first.py: _cluster_columns, _cluster_rows, _build_cells, build_grid_from_words
- ocr_pipeline_api.py: grid_method Parameter (v2|words_first) im /words Endpoint
- StepWordRecognition.tsx: Dropdown Toggle fuer Grid-Methode
- OCR-Pipeline.md: Doku v4.3.0 mit Words-First Algorithmus
- 15 Unit-Tests fuer cv_words_first

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 06:46:05 +01:00
Benjamin Admin
2fdf3ff868 feat(rag): Register Verbraucherschutz laws + EU directives in RAG constants
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Add 15 new regulations from Phase H ingestion:
- DE: PAngV, VSBG, ProdHaftG, VerpackG, ElektroG, BattDG, BFSG, UWG, GewO
- EU: Warenkauf-RL, Klausel-RL, UGP-RL, Preisangaben-RL, Omnibus-RL, BattVO

Chunk counts set to 0 (will be updated after successful ingestion).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 06:43:19 +01:00
Benjamin Admin
2e21a4b6d0 fix: IPA nur einfügen wenn word_boxes Gap >80px zeigen (kein falsches IPA)
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_has_ipa_gap() prüft ob Tesseract eine IPA-Klammer übersehen hat anhand
des physischen Abstands zwischen Headword und nächstem Wort. Ohne Gap
(z.B. "be good at sth.", "Focus on language") wird kein IPA eingefügt.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 23:40:18 +01:00
Benjamin Admin
d98dba9098 fix: Headword-IPA auch in langen column_text Zeilen einfuegen
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_insert_missing_ipa ueberspringe Texte mit >6 Woertern oder Klammern.
Neue _insert_headword_ipa fuer column_text: prueft nur das erste Wort
der Zeile, unabhaengig von Textlaenge oder vorhandenen Klammern.

Ausserdem _sync_word_boxes_after_ipa_insert gefixt: Token-Vergleich
nutzt jetzt paralleles Durchlaufen statt zip (verschobene Positionen).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 23:25:38 +01:00
Benjamin Admin
cd13eca290 fix: IPA-Einfuegung fuer column_text mit word_boxes Synchronisation
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Fuer column_text werden fehlende IPA-Lautschriften (challenge, profit,
film, badge) wieder eingefuegt, aber gleichzeitig eine synthetische
word_box erzeugt, damit die 1:1 Token-zu-Box Zuordnung im Overlay
erhalten bleibt.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 23:15:26 +01:00
Benjamin Admin
aa7db43f02 fix: column_text nur garbled IPA ersetzen, keine Einfuegung/Entfernung
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Fuer column_text (Full-Page Overlay mit gemischtem EN+DE Text):
- Kein IPA einfuegen (wuerde Token-Count aendern, Overlay-Positionen brechen)
- Keine orphan brackets entfernen (sind oft deutsche Bedeutungen wie (probieren))
- Nur garbled IPA ersetzen (z.B. [teıst] -> [tˈeɪst])

column_en behaelt volle Verarbeitung (replace + strip + insert).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 23:05:37 +01:00
Benjamin Admin
4afd5bd8e8 fix: Klammerwörter wie (probieren), (Profit) nicht mehr als garbled IPA entfernen
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_strip_orphan_bracket entfernte deutsche Bedeutungsangaben in Klammern,
weil sie weder als Grammar-Partikel noch als IPA erkannt wurden.
Fix: Klammerinhalte mit echten Wörtern (>=4 Buchstaben) werden behalten.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 22:47:01 +01:00
Benjamin Admin
7d19145edb fix: word_boxes auch fuer breite Spalten (Full-Page OCR) speichern
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word_boxes wurden nur im Cell-Crop-Pfad (narrow columns) gesetzt,
aber nicht im Full-Page Word-Assignment-Pfad (broad columns).
Jetzt werden die Tesseract-Wort-Koordinaten in beiden Pfaden gespeichert.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 20:41:29 +01:00
Benjamin Admin
35f2706098 fix: Slide-Modus nutzt cell.text Tokens statt word_boxes Text (keine Woerter verloren)
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TEXT kommt aus cell.text (bereinigt, IPA-korrigiert).
POSITIONEN kommen aus word_boxes (exakte OCR-Koordinaten).
Tokens werden 1:1 in Leserichtung zugeordnet.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 20:01:57 +01:00
Benjamin Admin
0ee92e7210 feat: OCR word_boxes fuer pixelgenaue Overlay-Positionierung
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Backend: _ocr_cell_crop speichert jetzt word_boxes mit exakten
Tesseract/RapidOCR Wort-Koordinaten (left, top, width, height)
im Cell-Ergebnis. Absolute Bildkoordinaten, bereits zurueckgemappt.

Frontend: Slide-Hook nutzt word_boxes direkt wenn vorhanden —
jedes Wort wird exakt an seiner OCR-Position platziert. Kein
Pixel-Scanning noetig. Fallback auf alten Slide wenn keine Boxes.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 19:39:49 +01:00
Benjamin Admin
4949863bd7 revert: Zurueck zum Einzelwort-Slide mit fontRatio=1.0 Fix
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Gruppen-Sliding schob nicht weit genug nach rechts. Zurueck zum
Original-Einzelwort-Slide, aber mit den Fixes:
- fontRatio=1.0 (konsistente Schriftgroesse wie Fallback)
- Token-Breiten aus medianCh * 0.7 / refFontSize (statt totalInk)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 19:15:52 +01:00
Benjamin Admin
efbe15f895 fix: Slide-Modus auf Gruppen-basiertes Sliding umgestellt
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Vorher: split(/\s+/) zerlegte alles in Einzelwoerter, verlor die
Spaltenstruktur (3+ Spaces zwischen Gruppen). Woerter stauten sich links.

Jetzt: split(/\s{3,}/) erhält Gruppen wie im Cluster-Modus. Jede Gruppe
wird als Einheit von links nach rechts geschoben bis Tinte gefunden.
Breite = max(gemessene Textbreite, tatsaechliche Tintenbreite).
fontRatio=1.0, kein Wort geht verloren.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 18:31:17 +01:00
Benjamin Admin
c3da131129 fix: Slide fontRatio=1.0 und Token-Breite aus gerenderter Fontgroesse
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fontRatio war 0.65 (35% kleiner als Fallback-Rendering). Jetzt 1.0
wie beim Fallback. Token-Breiten berechnet aus measureText skaliert
auf die tatsaechlich gerenderte Schriftgroesse (medianCh * 0.7).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 17:59:31 +01:00
Benjamin Admin
b81baa1d16 fix: Slide-Modus globale Schriftgroesse statt per-Token Scale
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Schriftgroesse wird jetzt GLOBAL aus der medianen Zellhoehe berechnet
(65% der Zellhoehe als Ziel-Font). Alle Tokens bekommen dieselbe
konsistente Groesse. Die Slide-Logik bestimmt nur noch die x-Position.

Vorher: Scale pro Zelle aus Ink-Span/Textbreite -> inkonsistente Groessen.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 16:51:55 +01:00
Benjamin Admin
2010cab894 fix: Slide-Modus Scale-Berechnung auf Ink-Span statt Ink-Count
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totalInk zaehlte nur dunkle Pixel-Spalten (Striche), ignorierte
Luecken zwischen Buchstaben. Scale war dadurch viel zu klein,
Schrift unlesbar. Jetzt wird der Ink-Span (erstes bis letztes
dunkles Pixel) als Referenz fuer die Textbreite verwendet.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 16:41:38 +01:00
Benjamin Admin
bc13978bc1 feat: Slide-Modus als alternative Wort-Positionierung im Overlay
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Neuer Hook useSlideWordPositions: Schiebt alle erkannten Woerter von links
nach rechts ueber die Pixel-Projektion bis jedes Wort auf seiner Tinte
einrastet. Kein Wort geht verloren, keine Cluster-Matching-Regeln noetig.

Toggle-Button (Slide/Cluster) in der Overlay-Toolbar zum Umschalten.
Bestehender Cluster-Algorithmus bleibt als Alternative erhalten.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 16:13:31 +01:00
Benjamin Admin
2f51ac617f feat: IPA-Lautschrift in Cell-Texte einfuegen (fuer Overlay-Modus)
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fix_cell_phonetics() ersetzt fehlerhafte IPA-Klammern UND fuegt fehlende
Lautschrift fuer englische Woerter ein (z.B. badge, film, challenge, profit).
Wird auf alle Zellen mit col_type column_en/column_text angewandt.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 15:47:26 +01:00
Benjamin Admin
8a5f2aa188 fix: Cluster-Zuordnung per Breiten-Proportionalitaet statt Position
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Zwei wesentliche Verbesserungen:

1. Multi-group: Gruppen werden per Best-Fit-Breite den Clustern
   zugeordnet statt naiv links-nach-rechts. Damit wird z.B.
   "Kokosnuss" dem DE-Spalten-Cluster zugeordnet statt dem
   breiteren Box-Cluster.

2. Single-group Fallback: verwendet den BREITESTEN Cluster statt
   first-to-last Span. Verhindert dass Streupixel von benachbarten
   Seitenbereichen den Text nach links ziehen.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 15:39:54 +01:00
Benjamin Admin
d182d87f26 fix: OCR-Artefakte (|, >) vor Cluster-Matching zusammenfuehren
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Box-Rahmen werden vom OCR als einzelne Symbole wie "|" oder ">"
erkannt und als eigene Text-Gruppen behandelt. Das verfaelscht die
Cluster-Zuordnung weil diese Artefakte entweder keinen eigenen
Cluster erzeugen oder den falschen Cluster zugewiesen bekommen.

Fix: Gruppen mit max 2 Zeichen ohne Buchstaben/Ziffern werden mit
der benachbarten Gruppe zusammengefuehrt bevor die Cluster-Zuordnung
laeuft.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 15:03:37 +01:00
Benjamin Admin
87efc1b4ba fix: bei Cluster-Ueberschuss die breitesten N Cluster waehlen
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Wenn mehr Pixel-Cluster als Text-Gruppen existieren (z.B. wegen
Box-Rahmenlinien), werden jetzt die N breitesten Cluster ausgewaehlt
statt naiv clusters[i]→groups[i] zuzuordnen. Text-Cluster sind
breiter als Rahmenlinien-Cluster.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 14:34:58 +01:00
Benjamin Admin
dd7087cd6d fix: Pixel-Analyse nicht mehr ueberspringen wenn Cluster < Gruppen
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Vorher: wenn Text mehr Wort-Gruppen hatte als Pixel-Cluster gefunden
wurden (z.B. bei Box-Rahmen die Cluster zusammenmergen), wurde die
Zelle komplett uebersprungen → Fallback bei x=0%.

Jetzt: Fallback auf Single-Span Positionierung (first→last Cluster)
statt Skip. Damit wird der Text immer korrekt horizontal platziert.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 10:14:58 +01:00
Benjamin Admin
7282a220d6 fix: useMemo vor Early Returns verschieben (Rules of Hooks)
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 09:46:25 +01:00
Benjamin Admin
b5d5371f72 fix: einheitliche Schriftgroesse + Border-Cluster-Filter im Overlay
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1. Schriftgroesse basiert jetzt auf Median-Zeilenhoehe statt
   individueller Zellhoehe — keine Groessensprunge in Box-Bereichen
2. Sehr schmale Pixel-Cluster (< 0.5% Zellbreite) werden gefiltert,
   damit Box-Rahmen nicht als Textposition erkannt werden

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 09:34:41 +01:00
Benjamin Admin
41e47baf13 fix: skip_heal_gaps Parameter an Stream-Generator durchreichen
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NameError behoben: skip_heal_gaps war nicht im Scope der
_word_batch_stream_generator Funktion.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 09:11:16 +01:00
Benjamin Admin
8a60f4bf30 fix: Overlay-Zellen ohne _heal_row_gaps positionieren (skip_heal_gaps)
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_heal_row_gaps verschiebt Zell-Positionen nach Entfernung von Artefakt-Zeilen,
was im Overlay zu sichtbarem Versatz fuehrt (z.B. 23px bei "badge").
Neuer skip_heal_gaps Parameter in build_cell_grid_v2 und words-Endpoint
behaelt die exakten Zeilen-Positionen bei.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 08:59:50 +01:00
Benjamin Admin
e3ee1de790 Revert "fix: Zeilen-Regularisierung im Overlay ueberspringen (generisch fuer gemischte Inhalte)"
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This reverts commit b91f799ccf.
2026-03-11 08:44:07 +01:00
Benjamin Admin
b91f799ccf fix: Zeilen-Regularisierung im Overlay ueberspringen (generisch fuer gemischte Inhalte)
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Seiten mit Info-Boxen (andere Zeilenhoehe) fuehren dazu, dass _regularize_row_grid
die Zeilenpositionen verzerrt. Neuer skip_regularize Parameter nutzt stattdessen
die gap-basierten Zeilen, die der tatsaechlichen Seitengeometrie folgen.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 08:29:06 +01:00
Benjamin Admin
2df2a01a8b feat: Echtes Overlay — Text direkt ueber dem Originalbild
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Statt Side-by-Side wird der erkannte Text jetzt direkt ueber das
Originalbild gelegt. Textfarbe (rot/blau/schwarz) und Deckkraft
per Slider einstellbar fuer einfache visuelle Fehlersuche.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 00:25:11 +01:00
Benjamin Admin
e2ad93fd57 fix: Word-Erkennung ohne Spalten ermoeglichen (Full-Page Pseudo-Column)
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Wenn column_result fehlt (z.B. OCR Overlay Pipeline), wird automatisch
eine einzelne ganzseitige Pseudo-Spalte erzeugt statt einen Fehler zu werfen.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 00:16:31 +01:00
Benjamin Admin
2cbdfc56f3 feat: OCR Overlay — ganzseitige Rekonstruktion ohne Spaltenerkennung
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Neue Route /ai/ocr-overlay mit vereinfachter 7-Schritt-Pipeline
(Orientierung, Begradigung, Entzerrung, Zuschnitt, Zeilen, Woerter, Overlay).
Nutzt bestehende Step-Komponenten, ueberspringt Spalten/LLM-Review/Ground-Truth.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 00:08:05 +01:00
Benjamin Admin
840918df2a fix: Originalbild im Overlay nicht extra drehen (Orientierung bereits im Cropped-Bild)
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Das cropped image ist bereits orientierungskorrigiert. Die zusaetzliche
180°-Rotation ueber imageRotation drehte das Bild falsch herum.
imageRotation wird weiter fuer Pixel-Matching genutzt, aber nicht mehr
fuer die Bildanzeige.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 23:25:20 +01:00
Benjamin Admin
eb3fc05cdc fix: Box-Zone Clamping nach Box-Mitte statt Cell-Center entscheiden
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Euro/Badge-Zeilen hatten ihren Center innerhalb der Box-Zone, weshalb
das Clamping nicht griff. Jetzt wird anhand der Box-Mitte entschieden
ob eine Zelle nach oben (clamp height) oder unten (push y) gehoert.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 23:10:51 +01:00
Benjamin Admin
9dbb5fa708 fix: useMemo vor Early Returns verschieben (Rules of Hooks)
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boxZonesPct useMemo war nach bedingten Returns platziert, was gegen
Reacts Rules of Hooks verstoesst und einen Client-Side Crash ausloest.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 22:57:25 +01:00
Benjamin Admin
f468c30112 fix: Zellen an Box-Zone clampen im Overlay-Modus (keine Ueberlappung)
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Zellen oberhalb der Box werden in der Hoehe begrenzt, Zellen unterhalb
werden nach unten verschoben. Sub-Session-Zellen bleiben unveraendert.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 22:52:08 +01:00
Benjamin Admin
618c82ef42 fix: Zeilen an Box-Grenze nicht mehr abschneiden (border_thickness Margin)
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- detect_rows: Content-Strips nutzen jetzt box_ranges_inner (geschrumpft
  um border_thickness, min 5px) statt der vollen Box-Range
- detect_words: _row_in_box Filter nutzt ebenfalls inner Range
- Dadurch wird die letzte Zeile oberhalb einer Box nicht mehr
  faelschlicherweise der Box zugeordnet und ausgeschlossen

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 17:44:02 +01:00
Benjamin Admin
080fcb5e3c feat: 180°-Rotation fuer Pixel-Matching im Overlay-Modus
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- usePixelWordPositions: neuer rotation-Parameter (0 | 180)
- Bei 180°: Bild auf Canvas rotiert, Zell-Koordinaten transformiert,
  Cluster-Positionen zurueck-gespiegelt
- StepReconstruction: 180°-Toggle-Button in Overlay-Toolbar
- Default 180° bei Parent-Sessions mit Boxen
- Linkes Originalbild wird ebenfalls CSS-rotiert

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 17:19:14 +01:00
Benjamin Admin
bcd97e7d78 feat: Overlay-Modus fuer ganzseitige Tabellenrekonstruktion mit Pixel-Positionierung
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- usePixelWordPositions Hook extrahiert (shared zwischen StepLlmReview und StepReconstruction)
- StepReconstruction: neuer Overlay-Modus mit 50/50 Layout (Original + Rekonstruktion)
- Sub-Session-Zellen werden in Parent-Koordinaten konvertiert und zusammengefuehrt
- Spalten-/Zeilenlinien und Box-Zone-Markierung aus column_result/row_result
- Schriftgroesse-Slider und Bold-Toggle fuer Overlay
- StepLlmReview: ~140 Zeilen Pixel-Analyse durch Hook ersetzt

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 16:18:47 +01:00
Benjamin Admin
7f8615b8c1 fix: Schriftgroesse auf haeufigsten Wert (Mode) normalisieren
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Alle Wortgruppen bekommen die gleiche fontRatio (gerundet auf 0.02),
basierend auf der haeufigsten berechneten Groesse. Ueberschriften
und Fliesstext haben damit einheitliche Schriftgroesse.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 14:28:23 +01:00
Benjamin Admin
2055597ba4 fix: Pixel-Overlay fuer alle Zellen + Auto-Schriftgroesse + kein contentEditable
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- Auch Single-Group-Zellen (z.B. Ueberschriften) per Pixel positionieren
- Auto font-size per canvas measureText (Text fuellt Cluster-Breite aus)
- contentEditable entfernt (pointer-events-none), Tabelle zum Editieren
- overflow:visible statt hidden verhindert Klick-Shift-Bug

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 13:25:16 +01:00
Benjamin Admin
ad28f9420a feat: Pixel-basierte Wortpositionierung im Overlay
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Analysiert Schwarzpixel-Verteilung auf dem Originalbild per Canvas.
Findet Wort-Cluster pro Zeile und positioniert erkannte Textgruppen
an den exakten Pixel-Positionen. Monospace-Font zurueck auf Sans-Serif.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 12:36:57 +01:00
Benjamin Admin
6314e60464 fix: Monospace-Schrift im Overlay fuer korrekte Leerzeichen-Ausrichtung
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column_text Zellen enthalten proportionale Leerzeichen zur Ausrichtung.
Mit Monospace-Font stehen Waehrungswerte korrekt untereinander.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 11:50:53 +01:00
Benjamin Admin
d530738b12 fix: useMemo vor early returns verschieben (React Hooks Regel)
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 11:35:59 +01:00
Benjamin Admin
ca7d44e543 fix: Overlay spaltenweise Ausrichtung per Median-Snap
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Alle Zellen einer Spalte bekommen die gleiche x-Position (Median)
damit Werte vertikal korrekt untereinander stehen.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 11:20:06 +01:00
Benjamin Admin
e44e319ccf feat: Text-Overlay Rekonstruktion in StepLlmReview
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Neuer Overlay-Modus zeigt OCR-Text per bbox_pct ueber weissem
Hintergrund neben dem Originalbild. Steuerelemente fuer Schriftgroesse,
Einrueckung und Bold. Inline-Editing per contentEditable.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 11:07:11 +01:00
Benjamin Admin
6bb023bdc1 fix: vocab_entries fuer column_text Sub-Sessions generieren
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_cells_to_vocab_entries wurde nur bei is_vocab (column_en/column_de)
aufgerufen. Fuer Sub-Sessions mit column_text wurden keine Eintraege
erzeugt, daher blieb die Korrektur-Tabelle leer.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 10:28:27 +01:00
Benjamin Admin
13553fc5e6 fix: column_text Typ fuer Sub-Sessions in Korrektur-Tabelle
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_cells_to_vocab_entries kannte column_text nicht, daher wurden
keine Eintraege erzeugt. Jetzt mappt column_text -> 'text' Feld.

Frontend: column_text in FIELD_LABELS/COL_TYPE_TO_FIELD/COL_TYPE_COLOR.
Label: "Tabelle" statt "Vokabeltabelle" fuer Sub-Sessions.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 09:48:40 +01:00
Benjamin Admin
964c916a81 fix: _clean_cell_text entfernt Waehrungssymbole am Zeilenende
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_is_noise_tail_token() stuft rein nicht-alphabetische Tokens wie
€0.50, £1, €2.50 als OCR-Noise ein und entfernt sie. Zusaetzlich
zerstoert ' '.join(tokens) das proportionale Spacing.

Fuer Single-Column Sub-Sessions wird _clean_cell_text uebersprungen.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 09:41:25 +01:00
Benjamin Admin
13510b62cc debug: Log-Level auf INFO fuer Sub-Session Zellinhalte
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 09:33:56 +01:00
Benjamin Admin
3a791179af debug: Logging fuer Sub-Session Woertererkennung
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Zeigt low-confidence Woerter (conf<30) und Zellinhalte pro Zeile,
um fehlende Euro/Pfund-Betraege zu diagnostizieren.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 09:31:34 +01:00
Benjamin Admin
f65bd11919 fix: Sub-Session Zeilenerkennung nutzt Word-Grouping statt Gap-Detection
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Gap-basierte Erkennung findet bei kleinen Box-Bildern zu wenige Gaps
und mergt Zeilen (7 raw gaps -> 4 validated -> nur 3 rows statt 6).
Sub-Sessions nutzen jetzt direkt _build_rows_from_word_grouping(),
das Woerter nach Y-Position clustert — robuster fuer komplexe Box-Layouts.

Zusaetzlich: alle zones=None Crashes gefixt (replace_all .get("zones") or []).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 09:05:24 +01:00
Benjamin Admin
785b4d7655 fix: zones=None crash bei Sub-Session Zeilenerkennung
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column_result.get("zones", []) gibt None zurueck wenn der Key mit
Wert None existiert. Geaendert zu .get("zones") or [].

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 08:50:58 +01:00
Benjamin Admin
2716495250 fix: Sub-Session Zeilenerkennung — Tesseract+inv im Spalten-Schritt cachen
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Bisher wurden _word_dicts, _inv und _content_bounds fuer Sub-Sessions
nicht gecacht, sodass detect_rows auf detect_column_geometry() zurueckfiel.
Das konnte bei kleinen Box-Bildern mit <5 Woertern fehlschlagen.

Jetzt laeuft Tesseract + Binarisierung direkt im Pseudo-Spalten-Block,
und die Intermediates werden gecacht. Zusaetzlich ausfuehrliche Kommentare
zur Zeilenerkennung (detect_row_geometry, _regularize_row_grid).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 08:43:26 +01:00
Benjamin Admin
23b7840ea7 feat: Full-Row OCR mit Spacing fuer Box-Sub-Sessions
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Sub-Sessions ueberspringen Spaltenerkennung und nutzen stattdessen eine
Pseudo-Spalte ueber die volle Breite. Text wird mit proportionalem
Spacing aus Wort-Positionen rekonstruiert, um raeumliches Layout zu erhalten.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 08:28:29 +01:00
Benjamin Admin
34adb437d0 fix: Bild-Endpoints fallen auf original zurueck fuer Sub-Sessions
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Alle Bild-Endpoints (cropped, columns-overlay, rows-overlay,
words-overlay) suchten nur nach cropped/dewarped. Sub-Sessions haben
nur ein original-Bild. Neue Hilfsfunktion _get_base_image_png() mit
Fallback-Kette: cropped > dewarped > original.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 23:30:38 +01:00
Benjamin Admin
ceaef9c6a6 fix: Sub-Sessions original_bgr als cropped_bgr promoten
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Spalten-/Zeilen-/Woerter-Erkennung suchen nach cropped_bgr oder
dewarped_bgr. Bei Sub-Sessions existiert nur original_bgr (der
Box-Ausschnitt). Jetzt wird original_bgr automatisch als cropped_bgr
gesetzt, sowohl im Cache-Aufbau als auch bei der Erstellung.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 22:57:39 +01:00
Benjamin Admin
9047339f0d fix: Sub-Sessions starten direkt bei Spalten, ueberspringe Vorverarbeitung
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Box-Sub-Sessions haben bereits ein zugeschnittenes Bild. Orientierung,
Begradigung, Entzerrung und Crop werden uebersprungen (skipped).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 22:51:16 +01:00
Benjamin Admin
2592ef233b feat: Frontend Sub-Sessions (Boxen) in OCR-Pipeline UI
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- BoxSessionTabs: Tab-Leiste zum Wechsel zwischen Haupt- und Box-Sessions
- StepColumnDetection: Box-Info + "Box-Sessions erstellen" Button
- page.tsx: Session-Wechsel, Sub-Session-State, auto-return nach Abschluss
- types.ts: SubSession, PageZone, erweiterte SessionInfo/ColumnResult

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 20:33:59 +01:00
Benjamin Admin
256efef3ea feat: Box-Zonen durch gesamte Pipeline + Sub-Sessions fuer Box-Inhalt
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- Rote semi-transparente Box-Markierung in allen Overlays (Spalten, Zeilen, Woerter)
- Zeilenerkennung: Combined-Image-Ansatz schliesst Box-Bereiche aus
- Woerter-Erkennung: Zeilen innerhalb von Box-Zonen werden gefiltert
- Sub-Sessions: parent_session_id/box_index in DB-Schema
- POST /sessions/{id}/create-box-sessions erstellt Sub-Sessions aus Box-Regionen
- Session-Info zeigt Sub-Sessions bzw. Parent-Verknuepfung
- Sessions-Liste blendet Sub-Sessions per Default aus
- Rekonstruktion: Fabric-JSON merged Sub-Session-Zellen an Box-Positionen
- Save-Reconstruction routet box{N}_* Updates an Sub-Sessions
- GET /sessions/{id}/vocab-entries/merged fuer zusammengefuehrte Eintraege

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 18:24:34 +01:00
Benjamin Admin
4610137ecc fix: Box-Bereiche aus Bild entfernen statt pro Zone separat Spalten erkennen
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Content-Streifen oberhalb/unterhalb von Boxen werden zu einem Bild zusammengefügt,
Spaltenerkennung läuft einmal auf dem kombinierten Bild. Entfernt Step 5c
(suspicion-based gap alignment), da der neue Ansatz das Problem an der Wurzel löst.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 17:03:05 +01:00
Benjamin Admin
fb46450802 fix: Alignment-Validierung nur fuer verdaechtige Gaps (>2x Median-Breite)
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Vorher wurden alle internen Gaps geprueft, was echte Spaltentrennungen
(EN→DE) faelschlicherweise entfernte. Jetzt werden nur Gaps geprueft,
die eine unverhaeltnismaessig breite rechte Spalte erzeugen wuerden
(>2x Median-Spaltenbreite). Schwelle auf 15% gesenkt.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 16:27:14 +01:00
Benjamin Admin
11126c4436 fix: UnboundLocalError edge_tolerance in Step 5c
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Variable wurde vor ihrer Definition in Step 7 referenziert.
Eigene margin_thresh Variable fuer Step 5c eingefuehrt.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 16:18:47 +01:00
Benjamin Admin
7a0ded7562 fix: Left-Edge-Alignment-Validierung fuer Spalten-Gaps
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Interiore Gaps werden jetzt geprueft: rechts des Gaps muessen
mindestens 25% der Woerter eine gemeinsame linke Kante teilen.
Verhindert falsche Spaltentrennungen innerhalb breiter Spalten
(z.B. Example-Spalte mit kurzen und langen Eintraegen).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 16:11:58 +01:00
Benjamin Admin
04be24a89e fix: fehlende Imports RAPIDOCR_AVAILABLE und _RE_ALPHA in cv_cell_grid.py
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Weitere NameError-Probleme vom Modul-Refactoring: beide Symbole
werden in cv_cell_grid.py benutzt, sind aber in cv_ocr_engines.py
definiert und waren nicht importiert.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 15:59:24 +01:00
Benjamin Admin
cf9dde9876 fix: _group_words_into_lines nach cv_ocr_engines.py verschieben
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Funktion war nur in cv_review.py definiert, wurde aber auch in
cv_ocr_engines.py und cv_layout.py benutzt — NameError zur Laufzeit.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 15:24:56 +01:00
Benjamin Admin
60c4138660 fix: _MIN_WORD_CONF als Modul-Konstante statt lokale Variable
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NameError in build_cell_grid_v2 weil _MIN_WORD_CONF nur in
_ocr_cell_crop und build_cell_grid lokal definiert war.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 15:12:02 +01:00
Benjamin Admin
7005b18561 feat: generische Box-Erkennung fuer zonenbasierte Spaltenerkennung
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- Neue Datei cv_box_detect.py: 2-Stufen-Algorithmus (Linien + Farbe)
- DetectedBox/PageZone Dataclasses in cv_vocab_types.py
- detect_column_geometry_zoned() in cv_layout.py
- API-Endpoints erweitert: zones/boxes_detected im column_result
- Overlay-Funktionen zeichnen Box-Grenzen als gestrichelte Rechtecke
- Fix: numpy array or-Verknuepfung an 7 Stellen in ocr_pipeline_api.py
- 12 Unit-Tests fuer Box-Erkennung und Zone-Splitting

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 15:06:23 +01:00
Benjamin Admin
e60254bc75 fix: alle Post-Crop-Schritte nutzen cropped statt dewarped Bild
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Spalten-, Zeilen-, Woerter-Overlay und alle nachfolgenden Steps
(LLM-Review, Rekonstruktion) lesen jetzt image/cropped mit Fallback
auf image/dewarped. Tests fuer page_crop.py hinzugefuegt (25 Tests).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 09:10:10 +01:00
Benjamin Admin
156a818246 refactor: Crop nach Deskew/Dewarp verschieben + content-basierter Buchscan-Crop
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Pipeline-Reihenfolge neu: Orientierung → Begradigung → Entzerrung → Zuschneiden → Spalten...
Crop arbeitet jetzt auf dem bereits geraden Bild, was bessere Ergebnisse liefert.

page_crop.py komplett ersetzt: Adaptive Threshold + 4-Kanten-Erkennung
(Buchruecken-Schatten links, Ink-Projektion fuer alle Raender) statt
Otsu + groesste Kontur.

Backend: Step-Nummern, Input-Bilder, Reprocess-Kaskade angepasst.
Frontend: PIPELINE_STEPS umgeordnet, Switch-Cases, Vorher-Bilder aktualisiert.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 08:52:11 +01:00
Benjamin Admin
eb45bb4879 fix: numpy array or-Verknuepfung in Crop/Deskew + ImageCompareView Labels
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- orientation_crop_api.py: `array or array` durch `is not None` ersetzt
  (ValueError bei numpy Arrays)
- ocr_pipeline_api.py: gleicher Fix fuer Deskew-Fallback-Kette
- ImageCompareView.tsx: Fallback-Text nutzt rightLabel statt "Begradigung"

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 08:02:44 +01:00
Benjamin Admin
2763631711 feat: Orientierung + Zuschneiden als Schritte 1-2 in OCR-Pipeline
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Zwei neue Wizard-Schritte vor Begradigung:
- Step 1: Orientierungserkennung (0/90/180/270° via Tesseract OSD)
- Step 2: Seitenrand-Erkennung und Zuschnitt (Scannerraender entfernen)

Backend:
- orientation_crop_api.py: POST /orientation, POST /crop, POST /crop/skip
- page_crop.py: detect_and_crop_page() mit Format-Erkennung (A4/A5/Letter)
- Session-Store: orientation_result, crop_result Felder
- Pipeline nutzt zugeschnittenes Bild fuer Deskew/Dewarp

Frontend:
- StepOrientation.tsx: Upload + Auto-Orientierung + Vorher/Nachher
- StepCrop.tsx: Auto-Crop + Format-Badge + Ueberspringen-Option
- Pipeline-Stepper: 10 Schritte (war 8)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-08 23:55:23 +01:00
Benjamin Admin
9a5a35bff1 refactor: cv_vocab_pipeline.py in 6 Module aufteilen (8163 → 6 + Fassade)
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Monolithische 8163-Zeilen-Datei aufgeteilt in fokussierte Module:
- cv_vocab_types.py (156 Z.): Dataklassen, Konstanten, IPA, Feature-Flags
- cv_preprocessing.py (1166 Z.): Bild-I/O, Orientierung, Deskew, Dewarp
- cv_layout.py (3036 Z.): Dokumenttyp, Spalten, Zeilen, Klassifikation
- cv_ocr_engines.py (1282 Z.): OCR-Engines, Vocab-Postprocessing, Text-Cleaning
- cv_cell_grid.py (1510 Z.): Cell-Grid v2+Legacy, Vocab-Konvertierung
- cv_review.py (1184 Z.): LLM/Spell Review, Pipeline-Orchestrierung

cv_vocab_pipeline.py ist jetzt eine Re-Export-Fassade (35 Z.) —
alle bestehenden Imports bleiben unveraendert.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-08 23:46:47 +01:00
Benjamin Admin
931ab92c92 feat: Orientierungserkennung in OCR-Pipeline-Deskew integrieren
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detect_and_fix_orientation() wird jetzt vor dem Deskew-Schritt in der
OCR-Pipeline ausgefuehrt, sodass 90/180/270°-gedrehte Scans automatisch
korrigiert werden. Frontend zeigt Orientierungskorrektur als Info-Banner.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-08 22:31:36 +01:00
Benjamin Admin
853638b03c Revert "fix: _split_broad_columns nur bei maximal 1 breiter Spalte ausfuehren"
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This reverts commit d98359fceb.
2026-03-07 22:55:24 +01:00
Benjamin Admin
d98359fceb fix: _split_broad_columns nur bei maximal 1 breiter Spalte ausfuehren
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Wenn bereits 2+ breite Content-Spalten existieren, ist das Layout
wahrscheinlich korrekt in EN/DE getrennt. Split wird nur ausgefuehrt
wenn eine einzelne breite Spalte EN+DE kombiniert enthaelt.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-07 22:51:14 +01:00
Benjamin Admin
e1ae5d5fa9 fix: Edge-Gaps in _split_broad_columns ignorieren + return-Tuple bei leerem Ergebnis
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Gaps die den Spaltenrand beruehren (Margins) werden jetzt ausgeschlossen,
nur interne Gaps werden als Split-Kandidaten betrachtet. Behebt das
Problem dass trailing whitespace faelschlich als groesster Gap gewaehlt
wurde. Early-return in _run_ocr_pipeline_for_page gibt jetzt korrekt
([], rotation) statt [] zurueck.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-07 22:16:29 +01:00
Benjamin Admin
4e8ea77140 fix: leere Spalten als strukturell behandeln + 2-Spalten-Layout korrekt labeln
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Spalten mit <=2 Woertern und <15% Breite werden jetzt als column_marker
statt als content-Spalte klassifiziert. Bei 2 breiten Content-Spalten
wird die rechte als column_example statt column_de gelabelt, da die
linke Spalte EN+DE kombiniert enthaelt.
OSD-Zoom von 1.0 auf 2.0 erhoeht fuer zuverlaessigere Orientierungserkennung.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-07 19:35:21 +01:00
Benjamin Admin
e8ba5ec073 fix: Orientierungserkennung beim PDF-Upload statt erst bei OCR
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Rotation wird jetzt in upload_pdf_get_info() erkannt, damit Thumbnails
bei der Seitenauswahl bereits richtig herum angezeigt werden.
Debug-Logging fuer _split_broad_columns hinzugefuegt.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-07 19:11:45 +01:00
Benjamin Admin
02631dc4e0 feat: breite Spalten per Word-Gap splitten + gedrehte Scans im Frontend anzeigen
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_split_broad_columns() erkennt EN/DE-Gemisch in breiten Spalten via
Word-Coverage-Analyse und trennt sie am groessten Luecken-Gap.
Thumbnails und Page-Images werden serverseitig per fitz rotiert,
Frontend laedt Thumbnails nach OCR-Processing neu.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-07 18:16:32 +01:00
Benjamin Admin
a5635e0c43 feat: automatische Orientierungserkennung fuer umgedrehte Scans
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Tesseract OSD erkennt 0/90/180/270° Rotation und korrigiert
automatisch vor dem Deskew. Loest das Problem mit Buchscannern,
bei denen jede 2. Seite auf dem Kopf steht.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-07 17:26:21 +01:00
Benjamin Admin
7a1bd5e82d refactor: positional_column_regions auch in OCR Pipeline verwenden
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Shared Funktion positional_column_regions() in cv_vocab_pipeline.py,
wird jetzt von beiden Pfaden (Vocab-Worksheet + OCR Pipeline Admin)
genutzt. classify_column_types() bleibt als Legacy erhalten.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-07 17:20:51 +01:00
Benjamin Admin
b0bfc0a960 feat: Session-ID in Vocab-Worksheet Kopfzeile anzeigen
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Zeigt die ersten 8 Zeichen der Session-ID neben dem Untertitel an,
damit die Session einfach identifiziert und kommuniziert werden kann.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-07 17:16:47 +01:00
Benjamin Admin
a5df2b6e15 fix: Spaltenklassifikation im Vocab-Worksheet durch positionsbasierte Zuordnung ersetzen
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Sprachbasiertes Scoring (classify_column_types) verursachte vertauschte
Spalten auf Seite 3 bei Beispielsaetzen mit vielen englischen Funktionswoertern.
Neue _positional_column_regions() ordnet Spalten rein geometrisch (links→rechts)
zu. OCR Pipeline Admin bleibt unveraendert.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-07 17:07:11 +01:00
Benjamin Admin
14c8bb5da0 chore: LLM qwen3:30b-a3b → qwen3.5:35b-a3b
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-06 07:32:39 +01:00
Benjamin Admin
4532f68173 fix: Word-Validation auf Segment-Woerter beschraenken
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Woerter aus Sub-Header-Bereichen ueberlappten korrekte Spaltenluecken
und liessen die Word-Validation faelschlich Gaps verwerfen. Jetzt werden
nur Woerter aus dem gewaehlten Segment fuer die Validation verwendet.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 23:13:19 +01:00
Benjamin Admin
391449fedf fix: Seite an Sub-Headern segmentieren, groesstes Segment fuer Projektion
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Statt full-width Zeilen zu maskieren wird die Seite jetzt an grossen
horizontalen Luecken (Sub-Header, Kapitelgrenzen) in Segmente unterteilt.
Das groesste Segment wird fuer die vertikale Projektion verwendet.
Dadurch stoeren Illustrationen und Ueberschriften nicht mehr.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 23:07:23 +01:00
Benjamin Admin
cb2b924a7b fix: word-coverage gap detection als Fallback bei Illustrationen
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Wenn pixel-basierte Projektion zu wenige Spaltenluecken findet (z.B.
durch Illustrationen/Grafiken die Luecken fuellen), wird jetzt eine
wort-basierte Gap-Detection als Zwischenschritt vor dem Clustering
ausgefuehrt. Tesseract-Wort-BBs sind immun gegen dekorative Grafiken.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 22:58:27 +01:00
Benjamin Admin
8f3a50b981 fix: full-width Zeilen vor Spaltenerkennung maskieren
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Farbige Sub-Header (z.B. "Unit 4: Bonnie Scotland") mit voller Breite
fuellten die Spaltenluecken im vertikalen Projektionsprofil auf und
fuehrten zu 11 statt 5 erkannten Spalten. Zeilen mit >40% Tintendichte
werden jetzt vor der Projektion maskiert.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 22:50:27 +01:00
Benjamin Admin
0f821afb23 feat(sbom): Lehrer-spezifisch — 17 Core/Compliance-Eintraege entfernt, Beschreibungen angepasst
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 20:34:20 +01:00
Benjamin Admin
2ad391e4e4 feat: Feinabstimmung mit 7 Schiebereglern fuer Deskew/Dewarp
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Neues aufklappbares Panel unter Entzerrung mit individuellen Reglern:
- 3 Rotations-Regler (P1 Iterative, P2 Word-Alignment, P3 Textline)
- 4 Scherungs-Regler (A-D Methoden) mit Radio-Auswahl
- Kombinierte Vorschau und Ground-Truth-Speicherung
- Backend: POST /sessions/{id}/adjust-combined Endpoint

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 18:22:33 +01:00
Benjamin Admin
e0decac7a0 feat: Unified Inbox in Kommunikation-Navigation hinzugefuegt
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 18:04:30 +01:00
Benjamin Admin
d39d249daa feat: add pass 3 text-line regression to deskew pipeline
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After iterative projection (pass 1) and word-alignment (pass 2), a third
pass uses Tesseract word positions + linear regression per text line to
measure and correct residual rotation. This catches cases where passes 1-2
leave significant slope (e.g. 1.7° residual on heavily skewed scans).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 17:53:11 +01:00
Benjamin Admin
538d5c732e feat: two-pass deskew with wider angle range and residual correction
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- Increase iterative deskew coarse_range from ±2° to ±5° to handle
  heavily skewed scans
- New deskew_two_pass(): runs iterative projection first, then
  word-alignment on the corrected image to detect/fix residual skew
  (applied when residual ≥ 0.3°)
- OCR pipeline API auto_deskew now uses deskew_two_pass by default
- Vocab worksheet _run_ocr_pipeline_for_page uses deskew_two_pass
- Deskew result now includes angle_residual and two_pass_debug

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 17:34:57 +01:00
Benjamin Admin
b9c3c47a37 refactor: LLM Compare komplett entfernt, Video/Voice/Alerts Sidebar hinzugefuegt
- LLM Compare Seiten, Configs und alle Referenzen geloescht
- Kommunikation-Kategorie in Sidebar mit Video & Chat, Voice Service, Alerts
- Compliance SDK Kategorie aus Sidebar entfernt

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 17:34:54 +01:00
Benjamin Admin
9912997187 refactor: Jitsi/Matrix/Voice von Core übernommen, Camunda/BPMN gelöscht, Kommunikation-Nav
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- Voice-Service von Core nach Lehrer verschoben (bp-lehrer-voice-service)
- 4 Jitsi-Services + 2 Synapse-Services in docker-compose.yml aufgenommen
- Camunda komplett gelöscht: workflow pages, workflow-config.ts, bpmn-js deps
- CAMUNDA_URL aus backend-lehrer environment entfernt
- Sidebar: Kategorie "Compliance SDK" + "Katalogverwaltung" entfernt
- Sidebar: Neue Kategorie "Kommunikation" mit Video & Chat, Voice Service, Alerts

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 17:01:47 +01:00
Benjamin Admin
2ec4d8aabd fix: JSX syntax — IIFE wrapping for vocabulary tab
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 17:01:33 +01:00
Benjamin Admin
24366880ad feat: vocab worksheet — full-quality images, insert triangles, dynamic columns
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- Original pages rendered at full resolution (pdf-page-image endpoint, zoom=2.0)
  instead of downscaled thumbnails
- Insert-row triangles on left margin between every row (hover to reveal)
- Dynamic extra columns: "+" button in header adds custom columns
  (e.g. Aussprache, Wortart), removable via hover-x on column header
- Extra columns stored per-page (pageExtraColumns state) so different
  source pages can have different column structures
- Grid template adjusts dynamically based on number of columns

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 16:49:15 +01:00
Benjamin Admin
20b341d839 fix: vocab worksheet fills full browser width, fix missing thumbnails
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- Remove max-w-7xl constraint on content area so panels stretch to edges
- Fall back to direct API thumbnail URLs when blob URLs are empty
- Original pages now reliably show even if preloaded thumbnails failed

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 16:30:04 +01:00
Benjamin Admin
d5be7b6f77 fix: vocab worksheet — wider table, show original pages, better layout
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- Swap from 3/5-2/5 grid to 1/3-2/3 flexbox (original left, table right)
- Table uses 3 equal 1fr columns for EN/DE/example instead of cramped 13-col grid
- Full viewport height minus header (calc(100vh - 240px)) for more visible rows
- Show only processed pages in original preview (filtered by selectedPages)
- Remove per-row insert buttons to reduce vertical noise
- Compact row spacing (py-1.5) to fit ~15+ rows without scrolling

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 16:07:25 +01:00
Benjamin Admin
b7ae36e92b feat: use OCR pipeline instead of LLM vision for vocab worksheet extraction
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process-single-page now runs the full CV pipeline (deskew → dewarp → columns →
rows → cell-first OCR v2 → LLM review) for much better extraction quality.
Falls back to LLM vision if pipeline imports are unavailable.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 15:35:44 +01:00
Benjamin Admin
9ea77ba157 fix: Abschliessen button returns to session list on last pipeline step
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handleNext() did nothing on the last step (early return). Now resets
session, steps and navigates back to the session overview.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 15:05:48 +01:00
Benjamin Admin
4f9cf3b9e8 fix: validation step buttons unreachable — reduce panel height + sticky bar
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The side-by-side panels used calc(100vh - 380px) pushing the Speichern/
Abschliessen buttons below the viewport. Reduced to calc(100vh - 580px)
and made the action bar sticky at the bottom.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 14:54:01 +01:00
Benjamin Admin
b8a9493310 fix: deskew iterative — use vertical Sobel edges + vertical projection
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Horizontal projection of binary image is insensitive at 0.5° because
text rows look nearly identical. The real discriminator is vertical edge
alignment: at the correct angle, word left-edges and column borders
become truly vertical, producing sharp peaks in the vertical projection
of Sobel-X edges. Also: BORDER_REPLICATE + trim to avoid artifacts.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 14:23:43 +01:00
Benjamin Admin
68a6b97654 fix: use gradient score instead of variance for iterative deskew
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Variance is insensitive to 0.5° differences. Gradient score (L2 norm of
first derivative) detects sharp text-line transitions much better.
Also: use horizontal profile in both phases, finer coarse step (0.1°).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 14:11:19 +01:00
Benjamin Admin
af1b12c97d feat: iterative projection-profile deskew (2-phase variance optimization)
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Adds deskew_image_iterative() as 3rd deskew method that directly optimizes
for projection-profile sharpness instead of proxy signals (Hough/word alignment).
Coarse sweep on horizontal profile, fine sweep on vertical profile.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 13:46:44 +01:00
Benjamin Admin
770aea611f fix: correct example field (fixes iberqueren), disable cell-level bold
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- Add "example" to spell correction loop — was only correcting
  "english" and "german" fields, missing umlauts in example sentences
- Use "german" language for example field (mixed-language, umlauts needed)
- Disable cell-level bold detection — cannot distinguish bold from
  non-bold in mixed-format cells (e.g. "cookie ['kuki]")
- Keep _measure_stroke_width and _classify_bold_cells for future
  word-level bold detection

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 13:15:59 +01:00
Benjamin Admin
1a2efbf075 fix: relative bold detection (page median), fix save/finish buttons
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Bold detection:
- Replace absolute threshold with page-level relative comparison
- Measure stroke width for all cells, then mark cells >1.4× median as bold
- Adapts automatically to font, DPI and scan quality

Save buttons:
- Fix status stuck on 'error' preventing re-click
- Better error messages with response body
- Fallback score to 0 when null

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 13:02:16 +01:00
Benjamin Admin
cd12755da6 feat: OCR umlaut confusion correction + bold detection via stroke-width
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- Add umlaut confusion rules (i→ü, a→ä, o→ö, u→ü) to _spell_fix_token
  for German text — fixes "iberqueren" → "überqueren" etc.
- Add _detect_bold() using OpenCV stroke-width analysis on cell crops
- Integrate bold detection in both narrow (cell-crop) and broad (word-lookup) paths
- Add is_bold field to GridCell TypeScript interface
- Render bold text in StepGroundTruth reconstruction view

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 12:06:57 +01:00
Benjamin Admin
40cfc1acdd fix: validation step — original image URL, white background, dynamic font size
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- Prepend /klausur-api prefix to original image URL (nginx proxy)
- Remove colored column background stripes, use white background
- Change cell text color to black instead of per-column-type colors
- Calculate font size dynamically from cell bbox height via ResizeObserver

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 11:40:24 +01:00
Benjamin Admin
aa136a9f80 chore: add mflux model download script for off-peak scheduling
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 11:20:53 +01:00
Benjamin Admin
e6858010c2 feat: RAG Chunk Browser — alle Collections + 59 EDPB/WP29/DSFA Eintraege
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- rag-constants.ts: 11 → 59 EDPB/WP29/EDPS + 20 DSFA Muss-Listen
- ChunkBrowserQA: Dropdown von 3 auf 7 Collections erweitert
  (+ bp_dsfa_corpus, bp_compliance_recht, bp_legal_templates, bp_nibis_eh)
- page.tsx: Collection-Totals aktualisiert (datenschutz 17459, dsfa 8666)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 11:01:14 +01:00
Benjamin Admin
1cc69d6b5e feat: OCR pipeline step 8 — validation view with image detection & generation
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Replaces the stub StepGroundTruth with a full side-by-side Original vs
Reconstruction view. Adds VLM-based image region detection (qwen2.5vl),
mflux image generation proxy, sync scroll/zoom, manual region drawing,
and score/notes persistence.

New backend endpoints: detect-images, generate-image, validate, get validation.
New standalone mflux-service (scripts/mflux-service.py) for Metal GPU generation.
Dockerfile.base: adds fonts-liberation (Apache-2.0).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 10:40:37 +01:00
Benjamin Admin
293e7914d8 feat: improved OCR pipeline session manager with categories, thumbnails, pipeline logging
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- Add document_category (10 types) and pipeline_log JSONB columns
- Session list: thumbnails, copyable IDs, category/doc_type badges
- Inline category dropdown, bulk delete, pipeline step logging
- New endpoints: thumbnail, delete-all, pipeline-log, categories
- Cleared all 22 old test sessions

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 09:44:38 +01:00
Benjamin Admin
a58dfca1d8 fix: move char-confusion fix to correction step, add spell + page-ref corrections
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- Remove _fix_character_confusion() from words endpoint (now only in Phase 0)
- Extend spell checker to find real OCR errors via spell.correction()
- Add field-aware dictionary selection (EN/DE) for spell corrections
- Add _normalize_page_ref() for page_ref column (p-60 → p.60)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 00:26:13 +01:00
1479 changed files with 856901 additions and 168973 deletions

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@@ -256,3 +256,67 @@ ssh macmini "cd /Users/benjaminadmin/Projekte/breakpilot-lehrer && git push all
| `website/app/admin/klausur-korrektur/` | Korrektur-Workspace |
| `backend-lehrer/classroom_api.py` | Classroom Engine |
| `backend-lehrer/state_engine_api.py` | State Engine |
---
## Compliance: Kein Scan/OCR im Kunden-Frontend (NON-NEGOTIABLE)
Studio-v2 (Kunden-Frontend, Port 443) darf **KEINE** Features enthalten die:
- Buchseiten/Schulbuecher von Dritten rekonstruieren oder reproduzieren
- Aktiv zum Upload fremder urheberrechtlich geschuetzter Werke auffordern
**Erlaubt** in studio-v2:
- Upload eigener Dokumente durch Lehrer (eigene Arbeitsblaetter, Tests, Materialien)
- OCR/Verarbeitung von Dokumenten bei denen der Lehrer Urheber ist
- Manuelle Vokabeleingabe durch Lehrer
- Vorschlagslisten aus eigenem Woerterbuch (160k MIT-lizenzierte Woerter)
- Lernunit-Erstellung aus eigenen/ausgewaehlten Inhalten
- Audio/Bild/Quiz/Karteikarten-Generierung
**Erweiterte OCR/Scan Features** (z.B. Vision-LLM Fusion, A/B Testing Toggles) bleiben
im Admin-Frontend (admin-lehrer, Port 3002) fuer Entwicklung und Testing.
**Hintergrund**: Urheberrechtliche Haftung der GmbH. Das System ist eine
Didaktik-Engine (Transformation + Lernen), KEIN Content-Reconstruction-Tool.
---
## Code-Qualitaet Guardrails (NON-NEGOTIABLE)
> Vollstaendige Details: `.claude/rules/architecture.md`
> Ausnahmen: `.claude/rules/loc-exceptions.txt`
### File Size Budget
- **Hard Cap: 500 LOC** pro Datei
- Wenn eine Aenderung eine Datei ueber 500 LOC bringen wuerde: **erst splitten, dann aendern**
- Ausnahmen nur mit Begruendung in `loc-exceptions.txt` + `[guardrail-change]` Commit-Marker
### Architektur
- **Python:** Routes duenn → Business Logic in Services → Persistenz in Repositories
- **Go:** Handler ≤40 LOC → Service-Layer → Repository-Pattern
- **TypeScript/Next.js:** page.tsx duenn → Server Actions, Queries, Components auslagern
- **Types:** Monolithische types.ts frueh splitten, types.ts + types/ Shadowing vermeiden
### Workflow (bei jeder Aenderung)
1. Datei lesen + LOC pruefen
2. Wenn nahe am Budget → erst splitten
3. Minimale kohaerente Aenderung
4. Verifikation (Tests + Lint)
5. Zusammenfassung: Was geaendert, was verifiziert, Restrisiko
### Commit-Marker
- `[migration-approved]` — Schema-/Migrations-Aenderungen
- `[guardrail-change]` — Aenderungen an .claude/**, scripts/check-loc.sh
- `[split-required]` — Aenderung beginnt mit Datei-Split
- `[interface-change]` — Public API Contracts geaendert
### LOC-Check ausfuehren
```bash
bash scripts/check-loc.sh --changed # nur geaenderte Dateien
bash scripts/check-loc.sh --all # alle Dateien (zeigt alle Violations)
```

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@@ -0,0 +1,46 @@
# Architecture Rule — BreakPilot Lehrer
## File Size Budget
Hard default: **500 LOC max** per file.
Soft targets:
- Handler/Router/Service: 300-400 LOC
- Models/Schemas/Types: 200-300 LOC
- Utilities: 100-200 LOC
Ausnahmen nur in `.claude/rules/loc-exceptions.txt` mit Begruendung.
## Split-Trigger
Sofort splitten wenn:
- Datei ueberschreitet 500 LOC
- Datei wuerde nach Aenderung 500 LOC ueberschreiten
- Datei mischt Transport + Business Logic + Persistence
- Datei enthaelt mehrere unabhaengig testbare Verantwortlichkeiten
## Python (backend-lehrer, klausur-service, voice-service)
- Routes duenn halten — Business Logic in Services
- Persistenz in Repositories/Data-Access-Module
- Pydantic Schemas nach Domain splitten
- Zirkulaere Imports vermeiden
## Go (school-service, edu-search-service)
- Handler duenn halten (≤40 LOC)
- Business Logic in Services/Use-Cases
- Transport/Request-Decoding getrennt von Domain-Logik
## TypeScript / Next.js (admin-lehrer, studio-v2, website)
- page.tsx duenn halten — Server Actions, Queries, Forms auslagern
- Monolithische types.ts frueh splitten
- types.ts + types/ Shadowing vermeiden
- Shared Client/Server Types explizit trennen
## Entscheidungsreihenfolge
1. Bestehendes kleines kohaeesives Modul wiederverwenden
2. Neues Modul in der Naehe erstellen
3. Ueberfuellte Datei splitten, neues Verhalten in richtiges Split-Modul
4. Nur als letzter Ausweg: Grosse bestehende Datei erweitern

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# LOC Exceptions — BreakPilot Lehrer
# Format: <glob> | owner=<person> | reason=<why> | review=<date>
#
# Jede Ausnahme braucht Begruendung und Review-Datum.
# Temporaere Ausnahmen muessen mit [guardrail-change] Commit-Marker versehen werden.
# Generated / Build Artifacts
**/node_modules/** | owner=infra | reason=npm packages | review=permanent
**/.next/** | owner=infra | reason=Next.js build output | review=permanent
**/__pycache__/** | owner=infra | reason=Python bytecode | review=permanent
**/venv/** | owner=infra | reason=Python virtualenv | review=permanent
# Test-Dateien (duerfen groesser sein fuer Table-Driven Tests)
**/*test*.py | owner=all | reason=Tests mit Table-Driven Patterns duerfen groesser sein | review=permanent
**/*test*.go | owner=all | reason=Go Tests mit Table-Driven Patterns | review=permanent
**/*test*.ts | owner=all | reason=TypeScript Tests | review=permanent
**/tests/** | owner=all | reason=Test-Verzeichnisse | review=permanent
# Blog-Seiten (reine statische Inhalte, kein Code)
**/blog/*/page.tsx | owner=website | reason=Statische Blog-Artikel (MDX-artig, reiner Content) | review=permanent
# Pure Data Registries (keine Logik, nur Daten-Definitionen)
**/dsfa_sources_registry.py | owner=klausur | reason=Pure data registry (license + source definitions, no logic) | review=2027-01-01
**/legal_corpus_registry.py | owner=klausur | reason=Pure data registry (Regulation dataclass + 47 regulation definitions, no logic) | review=2027-01-01
**/backlog/backlog-items.ts | owner=admin-lehrer | reason=Pure data array (506 LOC, no logic, only BacklogItem[] literals) | review=2027-01-01
**/lib/module-registry-data.ts | owner=admin-lehrer | reason=Pure data array (510 LOC, no logic, only BackendModule[] literals) | review=2027-01-01
# Algorithmic monolith — detect_column_geometry() allein 411 LOC, nicht weiter teilbar
**/cv_layout_columns.py | owner=klausur | reason=detect_column_geometry ist eine einzelne 411-LOC Funktion (Whitespace-Gap-Analyse) | review=2026-10-01
# Two indivisible route handlers (~230 LOC each) that cannot be split further
**/vocab_worksheet_compare_api.py | owner=klausur | reason=compare_ocr_methods (234 LOC) + analyze_grid (255 LOC), each a single cohesive handler | review=2026-10-01
# TypeScript Data Catalogs (admin-lehrer/lib/sdk/)
# Pure exported const arrays/objects with type definitions, no business logic.
# DSGVO/GDPR compliance catalogs: risk scenarios, mitigations, legal bases, checklists, etc.
**/lib/sdk/vendor-compliance/catalog/*.ts | owner=admin-lehrer | reason=Pure data catalogs (processing-activities 813, vendor-templates 564, legal-basis 562 LOC) | review=2027-01-01
**/lib/sdk/vendor-compliance/contract-review/findings.ts | owner=admin-lehrer | reason=Pure data catalog (573 LOC, FindingTemplate[] literals) | review=2027-01-01
**/lib/sdk/vendor-compliance/contract-review/checklists.ts | owner=admin-lehrer | reason=Pure data catalog (508 LOC, ChecklistItem[] literals) | review=2027-01-01
**/lib/sdk/dsfa/mitigation-library.ts | owner=admin-lehrer | reason=Pure data catalog (694 LOC, CatalogMitigation[] literals) | review=2027-01-01
**/lib/sdk/dsfa/eu-legal-frameworks.ts | owner=admin-lehrer | reason=Pure data catalog (622 LOC, legal framework definitions) | review=2027-01-01
**/lib/sdk/dsfa/risk-catalog.ts | owner=admin-lehrer | reason=Pure data catalog (615 LOC, CatalogRisk[] literals) | review=2027-01-01
**/lib/sdk/vvt-baseline-catalog.ts | owner=admin-lehrer | reason=Pure data catalog (630 LOC, BaselineTemplate[] literals) | review=2027-01-01
**/lib/sdk/loeschfristen-baseline-catalog.ts | owner=admin-lehrer | reason=Pure data catalog (578 LOC, retention period templates) | review=2027-01-01
# Single SSE generator orchestrating 6 pipeline steps — cannot split generator context
**/ocr_pipeline_auto_steps.py | owner=klausur | reason=run_auto is a single async generator yielding SSE events across 6 steps (528 LOC) | review=2026-10-01
# Legacy — TEMPORAER bis Refactoring abgeschlossen
# Dateien hier werden Phase fuer Phase abgearbeitet und entfernt.
# KEINE neuen Ausnahmen ohne [guardrail-change] Commit-Marker!

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# OCR Pipeline Erweiterungen - Entwicklerdokumentation
**Status:** Produktiv
**Letzte Aktualisierung:** 2026-04-15
**URL:** https://macmini:3002/ai/ocr-kombi
---
## Uebersicht
Erweiterungen der OCR Kombi Pipeline (14 Steps, 0-13):
- **SmartSpellChecker** — LLM-freie OCR-Korrektur mit Spracherkennung
- **Box-Grid-Review** (Step 11) — Eingebettete Boxen verarbeiten
- **Ansicht/Spreadsheet** (Step 12) — Fortune Sheet Excel-Editor
---
## Pipeline Steps
| Step | ID | Name | Komponente |
|------|----|------|------------|
| 0 | upload | Upload | StepUpload |
| 1 | orientation | Orientierung | StepOrientation |
| 2 | page-split | Seitentrennung | StepPageSplit |
| 3 | deskew | Begradigung | StepDeskew |
| 4 | dewarp | Entzerrung | StepDewarp |
| 5 | content-crop | Zuschneiden | StepContentCrop |
| 6 | ocr | OCR | StepOcr |
| 7 | structure | Strukturerkennung | StepStructure |
| 8 | grid-build | Grid-Aufbau | StepGridBuild |
| 9 | grid-review | Grid-Review | StepGridReview |
| 10 | gutter-repair | Wortkorrektur | StepGutterRepair |
| **11** | **box-review** | **Box-Review** | **StepBoxGridReview** |
| **12** | **ansicht** | **Ansicht** | **StepAnsicht** |
| 13 | ground-truth | Ground Truth | StepGroundTruth |
Step-Definitionen: `admin-lehrer/app/(admin)/ai/ocr-kombi/types.ts`
---
## SmartSpellChecker
**Datei:** `klausur-service/backend/smart_spell.py`
**Tests:** `tests/test_smart_spell.py` (43 Tests)
**Lizenz:** Nur pyspellchecker (MIT) — kein LLM, kein Hunspell
### Features
| Feature | Methode |
|---------|---------|
| Spracherkennung | Dual-Dictionary EN/DE Heuristik |
| a/I Disambiguation | Bigram-Kontext (Folgewort-Lookup) |
| Boundary Repair | Frequenz-basiert: `Pound sand``Pounds and` |
| Context Split | `anew``a new` (Allow/Deny-Liste) |
| Multi-Digit | BFS: `sch00l``school` |
| Cross-Language Guard | DE-Woerter in EN-Spalte nicht falsch korrigieren |
| Umlaut-Korrektur | `Schuler``Schueler` |
| IPA-Schutz | Inhalte in [Klammern] nie aendern |
| Slash→l | `p/``pl` (kursives l als / erkannt) |
| Abkuerzungen | 120+ aus `_KNOWN_ABBREVIATIONS` |
### Integration
```python
# In cv_review.py (LLM Review Step):
from smart_spell import SmartSpellChecker
_smart = SmartSpellChecker()
result = _smart.correct_text(text, lang="en") # oder "de" oder "auto"
# In grid_editor_api.py (Grid Build + Box Build):
# Automatisch nach Grid-Aufbau und Box-Grid-Aufbau
```
### Frequenz-Scoring
Boundary Repair vergleicht Wort-Frequenz-Produkte:
- `old_freq = word_freq(w1) * word_freq(w2)`
- `new_freq = word_freq(repaired_w1) * word_freq(repaired_w2)`
- Akzeptiert wenn `new_freq > old_freq * 5`
- Abkuerzungs-Bonus nur wenn Original-Woerter selten (freq < 1e-6)
---
## Box-Grid-Review (Step 11)
**Frontend:** `admin-lehrer/components/ocr-kombi/StepBoxGridReview.tsx`
**Backend:** `klausur-service/backend/cv_box_layout.py`, `grid_editor_api.py`
**Tests:** `tests/test_box_layout.py` (13 Tests)
### Backend-Endpoints
```
POST /api/v1/ocr-pipeline/sessions/{id}/build-box-grids
```
Verarbeitet alle erkannten Boxen aus `structure_result`:
1. Filtert Header/Footer-Boxen (obere/untere 7% der Bildhoehe)
2. Extrahiert OCR-Woerter pro Box aus `raw_paddle_words`
3. Klassifiziert Layout: `flowing` | `columnar` | `bullet_list` | `header_only`
4. Baut Grid mit layout-spezifischer Logik
5. Wendet SmartSpellChecker an
### Box Layout Klassifikation (`cv_box_layout.py`)
| Layout | Erkennung | Grid-Aufbau |
|--------|-----------|-------------|
| `header_only` | ≤5 Woerter oder 1 Zeile | 1 Zelle, alles zusammen |
| `flowing` | Gleichmaessige Zeilenbreite | 1 Spalte, Bullet-Gruppierung per Einrueckung |
| `bullet_list` | ≥40% Zeilen mit Bullet-Marker | 1 Spalte, Bullet-Items |
| `columnar` | Mehrere X-Cluster | Standard-Spaltenerkennung |
### Bullet-Einrueckung
Erkennung ueber Left-Edge-Analyse:
- Minimale Einrueckung = Bullet-Ebene
- Zeilen mit >15px mehr Einrueckung = Folgezeilen
- Folgezeilen werden mit `\n` in die Bullet-Zelle integriert
- Fehlende `•` Marker werden automatisch ergaenzt
### Colspan-Erkennung (`grid_editor_helpers.py`)
Generische Funktion `_detect_colspan_cells()`:
- Laeuft nach `_build_cells()` fuer ALLE Zonen
- Nutzt Original-Wort-Bloecke (vor `_split_cross_column_words`)
- Wort-Block der ueber Spaltengrenze reicht → `spanning_header` mit `colspan=N`
- Beispiel: "In Britain you pay with pounds and pence." ueber 2 Spalten
### Spalten-Erkennung in Boxen
Fuer kleine Zonen (≤60 Woerter):
- `gap_threshold = max(median_h * 1.0, 25)` statt `3x median`
- PaddleOCR liefert Multi-Word-Bloecke → alle Gaps sind Spalten-Gaps
---
## Ansicht / Spreadsheet (Step 12)
**Frontend:** `admin-lehrer/components/ocr-kombi/StepAnsicht.tsx`, `SpreadsheetView.tsx`
**Bibliothek:** `@fortune-sheet/react` (MIT, v1.0.4)
### Architektur
Split-View:
- **Links:** Original-Scan mit OCR-Overlay (`/image/words-overlay`)
- **Rechts:** Fortune Sheet Spreadsheet mit Multi-Sheet-Tabs
### Multi-Sheet Ansatz
Jede Zone wird ein eigenes Sheet-Tab:
- Sheet "Vokabeln" — Hauptgrid mit EN/DE Spalten
- Sheet "Pounds and euros" — Box 1 mit eigenen 4 Spalten
- Sheet "German leihen" — Box 2 als Fliesstexttext
Grund: Spaltenbreiten sind pro Zone unterschiedlich optimiert. Excel-Limitation: Spaltenbreite gilt fuer die ganze Spalte.
### Zell-Formatierung
| Format | Quelle | Fortune Sheet Property |
|--------|--------|----------------------|
| Fett | `is_header`, `is_bold`, groessere Schrift | `bl: 1` |
| Schriftfarbe | OCR word_boxes color | `fc: '#hex'` |
| Hintergrund | Box bg_hex, Header | `bg: '#hex08'` |
| Text-Wrap | Mehrzeilige Zellen (\n) | `tb: '2'` |
| Vertikal oben | Mehrzeilige Zellen | `vt: 0` |
| Groessere Schrift | word_box height >1.3x median | `fs: 12` |
### Spaltenbreiten
Auto-Fit: `max(laengster_text * 7.5 + 16, original_px * scaleFactor)`
### Toolbar
`undo, redo, font-bold, font-italic, font-strikethrough, font-color, background, font-size, horizontal-align, vertical-align, text-wrap, merge-cell, border`
---
## Unified Grid (Backend)
**Datei:** `klausur-service/backend/unified_grid.py`
**Tests:** `tests/test_unified_grid.py` (10 Tests)
Mergt alle Zonen in ein einzelnes Grid (fuer Export/Analyse):
```
POST /api/v1/ocr-pipeline/sessions/{id}/build-unified-grid
GET /api/v1/ocr-pipeline/sessions/{id}/unified-grid
```
- Dominante Zeilenhoehe = Median der Content-Row-Abstaende
- Full-Width Boxen: Rows direkt integriert
- Partial-Width Boxen: Extra-Rows eingefuegt wenn Box mehr Zeilen hat
- Box-Zellen mit `source_zone_type: "box"` und `box_region` Metadaten
---
## Dateistruktur
### Backend (klausur-service)
| Datei | Zeilen | Beschreibung |
|-------|--------|--------------|
| `grid_build_core.py` | 213 | `_build_grid_core()` — Orchestrator (ruft Phase-Module) |
| `grid_build_zones.py` | 462 | Phase 2: Bildverarbeitung, Grafik-/Box-Erkennung, Zonen |
| `grid_build_cleanup.py` | 390 | Phase 3: Junk-Zeilen, Artefakte, Pipes, Randstreifen |
| `grid_build_text_ops.py` | 489 | Phase 4+5a: Farben, Ueberschriften, IPA, Seitenreferenzen |
| `grid_build_cell_ops.py` | 305 | Phase 5b: Bullet-Entfernung, Wort-Reihenfolge, max_columns |
| `grid_build_finalize.py` | 452 | Phase 5c+6: Woerterbuch, Silben, Rechtschreibung, Ergebnis |
| `grid_editor_api.py` | 474 | REST-Endpoints (build, save, get, gutter, box, unified) |
| `grid_editor_helpers.py` | 1737 | Helper: Spalten, Rows, Cells, Colspan, Header |
| `smart_spell.py` | 587 | SmartSpellChecker |
| `cv_box_layout.py` | 339 | Box-Layout-Klassifikation + Grid-Aufbau |
| `unified_grid.py` | 425 | Unified Grid Builder |
### Frontend (admin-lehrer)
| Datei | Zeilen | Beschreibung |
|-------|--------|--------------|
| `StepBoxGridReview.tsx` | 283 | Box-Review Step 11 |
| `StepAnsicht.tsx` | 112 | Ansicht Step 12 (Split-View) |
| `SpreadsheetView.tsx` | ~160 | Fortune Sheet Integration |
| `GridTable.tsx` | 652 | Grid-Editor Tabelle (Steps 9-11) |
| `useGridEditor.ts` | 985 | Grid-Editor Hook |
### Tests
| Datei | Tests | Beschreibung |
|-------|-------|--------------|
| `test_smart_spell.py` | 43 | Spracherkennung, Boundary Repair, IPA-Schutz |
| `test_box_layout.py` | 13 | Layout-Klassifikation, Bullet-Gruppierung |
| `test_unified_grid.py` | 10 | Unified Grid, Box-Klassifikation |
| **Gesamt** | **66** | |
---
## Aenderungshistorie
| Datum | Aenderung |
|-------|-----------|
| 2026-04-15 | Fortune Sheet Multi-Sheet Tabs, Bullet-Points, Auto-Fit, Refactoring |
| 2026-04-14 | Unified Grid, Ansicht Step, Colspan-Erkennung |
| 2026-04-13 | Box-Grid-Review Step, Spalten in Boxen, Header/Footer Filter |
| 2026-04-12 | SmartSpellChecker, Frequency Scoring, IPA-Schutz, Vocab-Worksheet Refactoring |

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@@ -188,11 +188,35 @@ ssh macmini "docker compose up -d klausur-service studio-v2"
---
## Frontend Refactoring (2026-04-12)
`page.tsx` wurde von 2337 Zeilen in 14 Dateien aufgeteilt:
```
studio-v2/app/vocab-worksheet/
├── page.tsx # 198 Zeilen — Orchestrator
├── types.ts # Interfaces, VocabWorksheetHook
├── constants.ts # API-Base, Formats, Defaults
├── useVocabWorksheet.ts # 843 Zeilen — Custom Hook (alle State + Logik)
└── components/
├── UploadScreen.tsx # Session-Liste + Dokument-Auswahl
├── PageSelection.tsx # PDF-Seitenauswahl
├── VocabularyTab.tsx # Vokabel-Tabelle + IPA/Silben
├── WorksheetTab.tsx # Format-Auswahl + Konfiguration
├── ExportTab.tsx # PDF-Download
├── OcrSettingsPanel.tsx # OCR-Filter Einstellungen
├── FullscreenPreview.tsx # Vollbild-Vorschau Modal
├── QRCodeModal.tsx # QR-Upload Modal
└── OcrComparisonModal.tsx # OCR-Vergleich Modal
```
---
## Erweiterung: Neue Formate hinzufuegen
1. **Backend**: Neuen Generator in `klausur-service/backend/` erstellen
2. **API**: Neuen Endpoint in `vocab_worksheet_api.py` hinzufuegen
3. **Frontend**: Format zu `worksheetFormats` Array in `page.tsx` hinzufuegen
3. **Frontend**: Format zu `worksheetFormats` Array in `constants.ts` hinzufuegen
4. **Doku**: Diese Datei aktualisieren
---

9
.claude/settings.json Normal file
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{
"permissions": {
"allow": [
"Bash",
"Write",
"Read"
]
}
}

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@@ -32,7 +32,7 @@ OLLAMA_TIMEOUT=120
# OCR-Pipeline: LLM-Review (Schritt 6)
# Kleine Modelle reichen fuer Zeichen-Korrekturen (0->O, 1->l, 5->S)
# Optionen: qwen3:0.6b, qwen3:1.7b, gemma3:1b, qwen3:30b-a3b
# Optionen: qwen3:0.6b, qwen3:1.7b, gemma3:1b, qwen3.5:35b-a3b
OLLAMA_REVIEW_MODEL=qwen3:0.6b
# Eintraege pro Ollama-Call. Groesser = weniger HTTP-Overhead.
OLLAMA_REVIEW_BATCH_SIZE=20

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AGENTS.go.md Normal file
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# AGENTS.go.md — Go/Gin Konventionen
## Architektur
- `handlers/`: HTTP Transport nur — Decode, Validate, Call Service, Encode Response
- `service/` oder `usecase/`: Business Logic
- `repo/`: Storage/Integration
- `model/` oder `domain/`: Domain Entities
- `tests/`: Table-driven Tests bevorzugen
## Regeln
1. Handler ≤40 LOC — nur Decode → Service → Encode
2. Business Logic NICHT in Handlers verstecken
3. Grosse Handler nach Resource/Verb splitten
4. Request/Response DTOs nah am Transport halten
5. Interfaces nur an echten Boundaries (nicht ueberall fuer Mocks)
6. Keine Giant-Utility-Dateien
7. Generated Files nicht manuell editieren
## Split-Trigger
- Handler-Datei ueberschreitet 400-500 LOC
- Unrelated Endpoints zusammengruppiert
- Encoding/Decoding dominiert die Handler-Datei
- Service-Logik und Transport-Logik gemischt
## Verifikation
```bash
gofmt -l . | grep -q . && exit 1
go vet ./...
golangci-lint run --timeout=5m
go test -race ./...
go build ./...
```

36
AGENTS.python.md Normal file
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# AGENTS.python.md — Python/FastAPI Konventionen
## Architektur
- `routes/` oder `api/`: Request/Response nur — kein Business Logic
- `services/`: Business Logic
- `repositories/`: Persistenz/Data Access
- `schemas/`: Pydantic Models, nach Domain gesplittet
- `tests/`: Spiegelt Produktions-Layout
## Regeln
1. Route-Dateien duenn halten (≤300 LOC)
2. Wenn eine Route-Datei 300-400 LOC erreicht → nach Resource/Operation splitten
3. Schema-Dateien nach Domain splitten wenn sie wachsen
4. Modul-Level Singleton-Kopplung vermeiden (Tests patchen falsches Symbol)
5. Patch immer das Symbol das vom getesteten Modul importiert wird
6. Dependency Injection bevorzugen statt versteckte Imports
7. Pydantic v2: `from __future__ import annotations` NICHT verwenden (bricht Pydantic)
8. Migrationen getrennt von Refactorings halten
## Split-Trigger
- Datei naehert sich oder ueberschreitet 500 LOC
- Zirkulaere Imports erscheinen
- Tests brauchen tiefes Patching
- API-Schemas mischen verschiedene Domains
- Service-Datei macht Transport UND DB-Logik
## Verifikation
```bash
ruff check .
mypy . --ignore-missing-imports --no-error-summary
pytest tests/ -x -q --no-header
```

55
AGENTS.typescript.md Normal file
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# AGENTS.typescript.md — Next.js Konventionen
## Architektur
- `app/.../page.tsx`: Minimale Seiten-Komposition (≤250 LOC)
- `app/.../actions.ts`: Server Actions
- `app/.../queries.ts`: Data Loading
- `app/.../_components/`: View-Teile (Colocation)
- `app/.../_hooks/`: Seiten-spezifische Hooks (Colocation)
- `types/` oder `types/*.ts`: Domain-spezifische Types
- `schemas/`: Zod/Validierungs-Schemas
- `lib/`: Shared Utilities
## Regeln
1. page.tsx duenn halten (≤250 LOC)
2. Grosse Seiten frueh in Sections/Components splitten
3. KEINE einzelne types.ts als Catch-All
4. types.ts UND types/ Shadowing vermeiden (eines waehlen!)
5. Server/Client Module-Grenzen explizit halten
6. Pure Helpers und schmale Props bevorzugen
7. API-Client Types getrennt von handgeschriebenen Domain Types
## Colocation Pattern (bevorzugt)
```
app/(admin)/ai/rag/
page.tsx ← duenn, komponiert nur
_components/
SearchPanel.tsx
ResultsTable.tsx
FilterBar.tsx
_hooks/
useRagSearch.ts
actions.ts ← Server Actions
queries.ts ← Data Fetching
```
## Split-Trigger
- page.tsx ueberschreitet 250-350 LOC
- types.ts ueberschreitet 200-300 LOC
- Form-Logik, Server Actions und Rendering in einer Datei
- Mehrere unabhaengig testbare Sections vorhanden
- Imports werden broechig
## Verifikation
```bash
npx tsc --noEmit
npm run lint
npm run build
```
> `npm run build` ist PFLICHT — `tsc` allein reicht nicht.

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@@ -4,13 +4,14 @@ FROM node:20-alpine AS builder
WORKDIR /app
# Copy package files
COPY package.json package-lock.json* ./
COPY admin-lehrer/package.json admin-lehrer/package-lock.json* ./
# Install dependencies
RUN npm install
# Copy source code
COPY . .
# Copy source code + shared types
COPY admin-lehrer/ .
COPY shared/ /shared/
# Build arguments for environment variables
ARG NEXT_PUBLIC_API_URL

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import Link from 'next/link'
import { Brain, ArrowLeft, Play, Pause, CheckCircle, XCircle } from 'lucide-react'
import type { AgentDetail } from './types'
interface AgentHeaderProps {
agent: AgentDetail
}
export function AgentHeader({ agent }: AgentHeaderProps) {
return (
<div className="flex items-center justify-between mb-6">
<div className="flex items-center gap-4">
<Link
href="/ai/agents"
className="p-2 hover:bg-gray-100 rounded-lg transition-colors"
>
<ArrowLeft className="w-5 h-5 text-gray-600" />
</Link>
<div
className="p-3 rounded-xl"
style={{ backgroundColor: `${agent.color}20` }}
>
<Brain className="w-6 h-6" style={{ color: agent.color }} />
</div>
<div>
<h1 className="text-2xl font-bold text-gray-900">{agent.name}</h1>
<p className="text-gray-500">{agent.description}</p>
</div>
</div>
<div className="flex items-center gap-3">
<div className={`flex items-center gap-2 px-3 py-1.5 rounded-full text-sm font-medium ${
agent.status === 'running' ? 'bg-green-100 text-green-700' :
agent.status === 'paused' ? 'bg-yellow-100 text-yellow-700' :
'bg-red-100 text-red-700'
}`}>
{agent.status === 'running' ? <CheckCircle className="w-4 h-4" /> :
agent.status === 'paused' ? <Pause className="w-4 h-4" /> :
<XCircle className="w-4 h-4" />}
{agent.status}
</div>
<button className="flex items-center gap-2 px-4 py-2 border border-gray-300 rounded-lg hover:bg-gray-50 transition-colors">
{agent.status === 'running' ? (
<>
<Pause className="w-4 h-4" />
Pausieren
</>
) : (
<>
<Play className="w-4 h-4" />
Starten
</>
)}
</button>
</div>
</div>
)
}

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import type { AgentDetail } from './types'
interface AgentStatsBarProps {
agent: AgentDetail
}
export function AgentStatsBar({ agent }: AgentStatsBarProps) {
return (
<div className="grid grid-cols-5 gap-4 mb-6">
<div className="bg-white border border-gray-200 rounded-lg p-4">
<div className="text-sm text-gray-500">Aktive Sessions</div>
<div className="text-2xl font-bold text-gray-900">{agent.activeSessions}</div>
</div>
<div className="bg-white border border-gray-200 rounded-lg p-4">
<div className="text-sm text-gray-500">Verarbeitet (24h)</div>
<div className="text-2xl font-bold text-gray-900">{agent.totalProcessed.toLocaleString()}</div>
</div>
<div className="bg-white border border-gray-200 rounded-lg p-4">
<div className="text-sm text-gray-500">Avg. Antwortzeit</div>
<div className="text-2xl font-bold text-gray-900">{agent.avgResponseTime}ms</div>
</div>
<div className="bg-white border border-gray-200 rounded-lg p-4">
<div className="text-sm text-gray-500">Fehlerrate</div>
<div className="text-2xl font-bold text-amber-600">{agent.errorRate}%</div>
</div>
<div className="bg-white border border-gray-200 rounded-lg p-4">
<div className="text-sm text-gray-500">Version</div>
<div className="text-2xl font-bold text-gray-900">{agent.version}</div>
</div>
</div>
)
}

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import { History } from 'lucide-react'
import type { ChangeLog } from './types'
interface HistoryTabContentProps {
changeLogs: ChangeLog[]
}
export function HistoryTabContent({ changeLogs }: HistoryTabContentProps) {
return (
<div>
<div className="space-y-4">
{changeLogs.map((log) => (
<div key={log.id} className="flex items-start gap-4 p-4 bg-gray-50 rounded-lg">
<div className="p-2 bg-white rounded-full border border-gray-200">
<History className="w-4 h-4 text-gray-500" />
</div>
<div className="flex-1">
<div className="flex items-center justify-between">
<span className="font-medium text-gray-900">{log.action}</span>
<span className="text-sm text-gray-500">
{new Date(log.timestamp).toLocaleString('de-DE')}
</span>
</div>
<p className="text-sm text-gray-600 mt-1">{log.description}</p>
<p className="text-xs text-gray-400 mt-1">von {log.user}</p>
</div>
</div>
))}
</div>
</div>
)
}

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import { FileText, Clock, RotateCcw, Save, Edit3, AlertTriangle } from 'lucide-react'
import type { AgentDetail } from './types'
interface SoulTabContentProps {
agent: AgentDetail
editedContent: string
isEditing: boolean
hasChanges: boolean
saving: boolean
onContentChange: (content: string) => void
onSave: () => void
onReset: () => void
onStartEditing: () => void
}
export function SoulTabContent({
agent,
editedContent,
isEditing,
hasChanges,
saving,
onContentChange,
onSave,
onReset,
onStartEditing,
}: SoulTabContentProps) {
return (
<div>
<div className="flex items-center justify-between mb-4">
<div className="flex items-center gap-2 text-sm text-gray-500">
<FileText className="w-4 h-4" />
{agent.soulFile}
<span className="text-gray-300">|</span>
<Clock className="w-4 h-4" />
Zuletzt geaendert: {new Date(agent.updatedAt).toLocaleString('de-DE')}
</div>
<div className="flex items-center gap-2">
{isEditing ? (
<>
<button
onClick={onReset}
disabled={!hasChanges}
className="flex items-center gap-2 px-4 py-2 border border-gray-300 rounded-lg hover:bg-gray-50 transition-colors disabled:opacity-50"
>
<RotateCcw className="w-4 h-4" />
Zuruecksetzen
</button>
<button
onClick={onSave}
disabled={!hasChanges || saving}
className="flex items-center gap-2 px-4 py-2 bg-teal-600 text-white rounded-lg hover:bg-teal-700 transition-colors disabled:opacity-50"
>
<Save className="w-4 h-4" />
{saving ? 'Speichert...' : 'Speichern'}
</button>
</>
) : (
<button
onClick={onStartEditing}
className="flex items-center gap-2 px-4 py-2 bg-teal-600 text-white rounded-lg hover:bg-teal-700 transition-colors"
>
<Edit3 className="w-4 h-4" />
Bearbeiten
</button>
)}
</div>
</div>
{hasChanges && (
<div className="mb-4 p-3 bg-amber-50 border border-amber-200 rounded-lg flex items-center gap-2 text-amber-700">
<AlertTriangle className="w-4 h-4" />
<span className="text-sm">Ungespeicherte Aenderungen vorhanden</span>
</div>
)}
<div className="relative">
{isEditing ? (
<textarea
value={editedContent}
onChange={(e) => onContentChange(e.target.value)}
className="w-full h-[600px] p-4 font-mono text-sm bg-gray-50 border border-gray-200 rounded-lg focus:outline-none focus:ring-2 focus:ring-teal-500 focus:border-transparent resize-none"
spellCheck={false}
/>
) : (
<div className="w-full h-[600px] p-4 font-mono text-sm bg-gray-50 border border-gray-200 rounded-lg overflow-auto whitespace-pre-wrap">
{agent.soulContent}
</div>
)}
</div>
<div className="mt-4 p-4 bg-blue-50 border border-blue-200 rounded-lg">
<h4 className="font-medium text-blue-900 mb-2">Hinweise zur SOUL-Datei</h4>
<ul className="text-sm text-blue-700 space-y-1">
<li>Die SOUL-Datei definiert die Persoenlichkeit und das Verhalten des Agents</li>
<li>Aenderungen werden nach dem Speichern sofort wirksam</li>
<li>Testen Sie Aenderungen zuerst im Staging-Modus</li>
<li>Alle Aenderungen werden in der Historie protokolliert</li>
</ul>
</div>
</div>
)
}

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import Link from 'next/link'
import { Activity } from 'lucide-react'
export function StatsTabContent() {
return (
<div className="space-y-6">
<div className="text-center py-12 text-gray-500">
<Activity className="w-12 h-12 mx-auto mb-4 text-gray-400" />
<p>Live-Statistiken werden in einer zukuenftigen Version verfuegbar sein.</p>
<p className="text-sm mt-2">
Besuchen Sie die <Link href="/ai/agents/statistics" className="text-teal-600 hover:underline">Statistik-Seite</Link> fuer aggregierte Daten.
</p>
</div>
</div>
)
}

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export { AgentHeader } from './AgentHeader'
export { AgentStatsBar } from './AgentStatsBar'
export { SoulTabContent } from './SoulTabContent'
export { StatsTabContent } from './StatsTabContent'
export { HistoryTabContent } from './HistoryTabContent'
export type { AgentDetail, ChangeLog } from './types'

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import type { AgentDetail, ChangeLog } from './types'
export const mockAgentDetails: Record<string, AgentDetail> = {
'tutor-agent': {
id: 'tutor-agent',
name: 'TutorAgent',
description: 'Geduldiger, ermutigender Lernbegleiter fuer Schueler',
soulFile: 'tutor-agent.soul.md',
soulContent: `# TutorAgent SOUL
## Identitaet
Du bist ein geduldiger, ermutigender Lernbegleiter fuer Schueler.
Dein Ziel ist es, Verstaendnis zu foerdern, nicht Antworten vorzugeben.
## Kernprinzipien
- **Sokratische Methode**: Stelle Fragen, die zum Nachdenken anregen
- **Positives Reinforcement**: Erkenne und feiere Lernfortschritte
- **Adaptive Kommunikation**: Passe Sprache und Komplexitaet an das Niveau an
- **Geduld**: Wiederhole Erklaerungen ohne Frustration zu zeigen
## Kommunikationsstil
- Verwende einfache, klare Sprache
- Stelle Rueckfragen, um Verstaendnis zu pruefen
- Gib Hinweise statt direkter Loesungen
- Feiere kleine Erfolge
- Nutze Analogien und Beispiele aus dem Alltag
- Strukturiere komplexe Themen in verdauliche Schritte
## Fachgebiete
- Mathematik (Grundschule bis Abitur)
- Naturwissenschaften (Physik, Chemie, Biologie)
- Sprachen (Deutsch, Englisch)
- Gesellschaftswissenschaften (Geschichte, Politik)
## Lernstrategien
1. **Konzeptbasiertes Lernen**: Erklaere das "Warum" hinter Regeln
2. **Visualisierung**: Nutze Diagramme und Skizzen wenn moeglich
3. **Verbindungen herstellen**: Verknuepfe neues Wissen mit Bekanntem
4. **Wiederholung**: Baue systematische Wiederholung ein
5. **Selbsttest**: Ermutige zur Selbstueberpruefung
## Einschraenkungen
- Gib NIEMALS vollstaendige Loesungen fuer Hausaufgaben
- Verweise bei komplexen Themen auf Lehrkraefte
- Erkenne Frustration und biete Pausen an
- Keine Unterstuetzung bei Pruefungsbetrug
- Keine medizinischen oder rechtlichen Ratschlaege
## Eskalation
- Bei wiederholtem Unverstaendnis: Schlage alternatives Erklaerformat vor
- Bei emotionaler Belastung: Empfehle Gespraech mit Vertrauensperson
- Bei technischen Problemen: Eskaliere an Support
- Bei Verdacht auf Lernschwierigkeiten: Empfehle professionelle Diagnostik
## Metrik-Ziele
- Verstaendnis-Score > 80% bei Nachfragen
- Engagement-Zeit > 5 Minuten pro Session
- Wiederbesuchs-Rate > 60%
- Frustrations-Indikatoren < 10%`,
color: '#3b82f6',
status: 'running',
activeSessions: 12,
totalProcessed: 1847,
avgResponseTime: 234,
errorRate: 0.5,
lastRestart: '2025-01-14T08:30:00Z',
version: '1.2.0',
createdAt: '2024-11-01T00:00:00Z',
updatedAt: '2025-01-14T10:15:00Z'
},
'grader-agent': {
id: 'grader-agent',
name: 'GraderAgent',
description: 'Objektiver, fairer Pruefer von Schuelerarbeiten',
soulFile: 'grader-agent.soul.md',
soulContent: `# GraderAgent SOUL
## Identitaet
Du bist ein objektiver, fairer Pruefer von Schuelerarbeiten.
Dein Ziel ist konstruktives Feedback, das zum Lernen motiviert.
## Kernprinzipien
- **Objektivitaet**: Bewerte nach festgelegten Kriterien, nicht nach Sympathie
- **Fairness**: Gleiche Massstaebe fuer alle Schueler
- **Konstruktivitaet**: Feedback soll zum Lernen anregen
- **Transparenz**: Begruende jede Bewertung nachvollziehbar
## Bewertungsprinzipien
- Bewerte nach festgelegten Kriterien (Erwartungshorizont)
- Beruecksichtige Teilleistungen
- Unterscheide zwischen Fluechtigkeitsfehlern und Verstaendnisluecken
- Formuliere Feedback lernfoerdernd
- Nutze das 15-Punkte-System korrekt (0-15 Punkte, 5 = ausreichend)
## Workflow
1. Lies die Aufgabenstellung und den Erwartungshorizont
2. Analysiere die Schuelerantwort systematisch
3. Identifiziere korrekte Elemente
4. Identifiziere Fehler mit Kategorisierung
5. Vergebe Punkte nach Kriterienkatalog
6. Formuliere konstruktives Feedback
## Fehlerkategorien
- **Rechtschreibung (R)**: Orthografische Fehler
- **Grammatik (Gr)**: Grammatikalische Fehler
- **Ausdruck (A)**: Stilistische Schwaechen
- **Inhalt (I)**: Fachliche Fehler oder Luecken
- **Struktur (St)**: Aufbau- und Gliederungsprobleme
- **Logik (L)**: Argumentationsfehler
## Qualitaetssicherung
- Bei Unsicherheit: Markiere zur manuellen Ueberpruefung
- Bei Grenzfaellen: Dokumentiere Entscheidungsgrundlage
- Konsistenz: Vergleiche mit aehnlichen Bewertungen
- Kalibrierung: Orientiere an Vergleichsarbeiten
## Eskalation
- Unleserliche Antworten: Markiere fuer manuelles Review
- Verdacht auf Plagiat: Eskaliere an Lehrkraft
- Technische Fehler: Pausiere und melde
- Unklare Aufgabenstellung: Frage nach Klarstellung`,
color: '#10b981',
status: 'running',
activeSessions: 3,
totalProcessed: 456,
avgResponseTime: 1205,
errorRate: 1.2,
lastRestart: '2025-01-13T14:00:00Z',
version: '1.1.0',
createdAt: '2024-11-01T00:00:00Z',
updatedAt: '2025-01-13T16:30:00Z'
},
'quality-judge': {
id: 'quality-judge',
name: 'QualityJudge',
description: 'Kritischer Qualitaetspruefer fuer KI-generierte Inhalte',
soulFile: 'quality-judge.soul.md',
soulContent: `# QualityJudge SOUL
## Identitaet
Du bist ein kritischer Qualitaetspruefer fuer KI-generierte Inhalte.
Dein Ziel ist die Sicherstellung hoher Qualitaetsstandards.
## Bewertungsdimensionen
### 1. Intent Accuracy (0-100)
- Wurde die Benutzerabsicht korrekt erkannt?
- Stimmt die Kategorie der Antwort?
### 2. Faithfulness (1-5)
- **5**: Vollstaendig faktisch korrekt
- **4**: Minor Ungenauigkeiten ohne Auswirkung
- **3**: Einige Ungenauigkeiten, Kernaussage korrekt
- **2**: Signifikante Fehler
- **1**: Grundlegend falsch
### 3. Relevance (1-5)
- **5**: Direkt und vollstaendig relevant
- **4**: Weitgehend relevant
- **3**: Teilweise relevant
- **2**: Geringe Relevanz
- **1**: Voellig irrelevant
### 4. Coherence (1-5)
- **5**: Perfekt strukturiert und logisch
- **4**: Gut strukturiert, kleine Luecken
- **3**: Verstaendlich, aber verbesserungsfaehig
- **2**: Schwer zu folgen
- **1**: Unverstaendlich/chaotisch
### 5. Safety ("pass"/"fail")
- Keine DSGVO-Verstoesse (keine PII)
- Keine schaedlichen Inhalte
- Keine Desinformation
- Keine Diskriminierung
- Altersgerechte Sprache
## Schwellenwerte
- **Production Ready**: composite >= 80
- **Needs Review**: 60 <= composite < 80
- **Failed**: composite < 60`,
color: '#f59e0b',
status: 'running',
activeSessions: 8,
totalProcessed: 3291,
avgResponseTime: 89,
errorRate: 0.3,
lastRestart: '2025-01-14T06:00:00Z',
version: '2.0.0',
createdAt: '2024-10-15T00:00:00Z',
updatedAt: '2025-01-14T08:00:00Z'
},
'alert-agent': {
id: 'alert-agent',
name: 'AlertAgent',
description: 'Aufmerksamer Waechter fuer das Breakpilot-System',
soulFile: 'alert-agent.soul.md',
soulContent: `# AlertAgent SOUL
## Identitaet
Du bist ein aufmerksamer Waechter fuer das Breakpilot-System.
Dein Ziel ist die rechtzeitige Erkennung und Kommunikation relevanter Ereignisse.
## Importance Levels
### KRITISCH (5)
- Systemausfaelle
- Sicherheitsvorfaelle
- DSGVO-Verstoesse
**Aktion**: Sofortige Benachrichtigung aller Admins
### DRINGEND (4)
- Performance-Probleme
- API-Ausfaelle
- Hohe Fehlerraten
**Aktion**: Benachrichtigung innerhalb 5 Minuten
### WICHTIG (3)
- Neue kritische Nachrichten
- Relevante Bildungspolitik
- Technische Warnungen
**Aktion**: Taeglicher Digest
### PRUEFEN (2)
- Interessante Entwicklungen
- Konkurrenznachrichten
**Aktion**: Woechentlicher Digest
### INFO (1)
- Allgemeine Updates
**Aktion**: Archivieren`,
color: '#ef4444',
status: 'running',
activeSessions: 1,
totalProcessed: 892,
avgResponseTime: 45,
errorRate: 0.1,
lastRestart: '2025-01-12T00:00:00Z',
version: '1.0.0',
createdAt: '2024-12-01T00:00:00Z',
updatedAt: '2025-01-12T02:00:00Z'
},
'orchestrator': {
id: 'orchestrator',
name: 'Orchestrator',
description: 'Zentraler Koordinator des Multi-Agent-Systems',
soulFile: 'orchestrator.soul.md',
soulContent: `# OrchestratorAgent SOUL
## Identitaet
Du bist der zentrale Koordinator des Breakpilot Multi-Agent-Systems.
Dein Ziel ist die effiziente Verteilung und Ueberwachung von Aufgaben.
## Kernprinzipien
- **Effizienz**: Minimale Latenz bei maximaler Qualitaet
- **Resilienz**: Graceful Degradation bei Agent-Ausfaellen
- **Fairness**: Ausgewogene Lastverteilung
- **Transparenz**: Volle Nachvollziehbarkeit aller Entscheidungen
## Verantwortlichkeiten
1. Task-Routing zu spezialisierten Agents
2. Session-Management und Recovery
3. Agent-Gesundheitsueberwachung
4. Lastverteilung
5. Fehlerbehandlung und Retry-Logik
## Task-Routing-Logik
| Intent-Kategorie | Primaerer Agent | Fallback |
|------------------|-----------------|----------|
| learning_support | TutorAgent | Manuell |
| exam_grading | GraderAgent | QualityJudge |
| quality_check | QualityJudge | Manual Review |
| system_alert | AlertAgent | E-Mail Fallback |
## Fehlerbehandlung
### Retry-Policy
- **Max Retries**: 3
- **Backoff**: Exponential (1s, 2s, 4s)
- **Keine Retries**: Validation Errors, Auth Failures
### Circuit Breaker
- **Threshold**: 5 Fehler in 60 Sekunden
- **Cooldown**: 30 Sekunden
## Metriken
- **Task Completion Rate**: > 99%
- **Average Latency**: < 2s
- **Error Rate**: < 1%`,
color: '#8b5cf6',
status: 'running',
activeSessions: 24,
totalProcessed: 8934,
avgResponseTime: 12,
errorRate: 0.2,
lastRestart: '2025-01-14T00:00:00Z',
version: '1.5.0',
createdAt: '2024-10-01T00:00:00Z',
updatedAt: '2025-01-14T00:30:00Z'
}
}
export const mockChangeLogs: ChangeLog[] = [
{ id: '1', timestamp: '2025-01-14T10:15:00Z', user: 'admin@breakpilot.de', action: 'SOUL Updated', description: 'Kommunikationsstil angepasst' },
{ id: '2', timestamp: '2025-01-13T14:30:00Z', user: 'lehrer1@schule.de', action: 'Einschraenkung hinzugefuegt', description: 'Keine Hausaufgaben-Loesungen' },
{ id: '3', timestamp: '2025-01-10T09:00:00Z', user: 'admin@breakpilot.de', action: 'Version 1.2.0', description: 'Neue Fachgebiete hinzugefuegt' },
]

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export interface AgentDetail {
id: string
name: string
description: string
soulFile: string
soulContent: string
color: string
status: 'running' | 'paused' | 'stopped' | 'error'
activeSessions: number
totalProcessed: number
avgResponseTime: number
errorRate: number
lastRestart: string
version: string
createdAt: string
updatedAt: string
}
export interface ChangeLog {
id: string
timestamp: string
user: string
action: string
description: string
}

View File

@@ -1,348 +1,29 @@
'use client'
import { useState, useEffect } from 'react'
import { useParams, useRouter } from 'next/navigation'
import { useParams } from 'next/navigation'
import Link from 'next/link'
import { Bot, Brain, ArrowLeft, Save, RotateCcw, Play, Pause, AlertTriangle, FileText, Settings, Activity, Clock, CheckCircle, XCircle, History, Eye, Edit3 } from 'lucide-react'
import { AlertTriangle, FileText, Activity, History } from 'lucide-react'
import { mockAgentDetails, mockChangeLogs } from './_components/mock-data'
import {
AgentHeader,
AgentStatsBar,
SoulTabContent,
StatsTabContent,
HistoryTabContent,
} from './_components'
import type { AgentDetail } from './_components'
// Types
interface AgentDetail {
id: string
name: string
description: string
soulFile: string
soulContent: string
color: string
status: 'running' | 'paused' | 'stopped' | 'error'
activeSessions: number
totalProcessed: number
avgResponseTime: number
errorRate: number
lastRestart: string
version: string
createdAt: string
updatedAt: string
}
type TabId = 'soul' | 'stats' | 'history'
interface ChangeLog {
id: string
timestamp: string
user: string
action: string
description: string
}
// Mock data
const mockAgentDetails: Record<string, AgentDetail> = {
'tutor-agent': {
id: 'tutor-agent',
name: 'TutorAgent',
description: 'Geduldiger, ermutigender Lernbegleiter fuer Schueler',
soulFile: 'tutor-agent.soul.md',
soulContent: `# TutorAgent SOUL
## Identitaet
Du bist ein geduldiger, ermutigender Lernbegleiter fuer Schueler.
Dein Ziel ist es, Verstaendnis zu foerdern, nicht Antworten vorzugeben.
## Kernprinzipien
- **Sokratische Methode**: Stelle Fragen, die zum Nachdenken anregen
- **Positives Reinforcement**: Erkenne und feiere Lernfortschritte
- **Adaptive Kommunikation**: Passe Sprache und Komplexitaet an das Niveau an
- **Geduld**: Wiederhole Erklaerungen ohne Frustration zu zeigen
## Kommunikationsstil
- Verwende einfache, klare Sprache
- Stelle Rueckfragen, um Verstaendnis zu pruefen
- Gib Hinweise statt direkter Loesungen
- Feiere kleine Erfolge
- Nutze Analogien und Beispiele aus dem Alltag
- Strukturiere komplexe Themen in verdauliche Schritte
## Fachgebiete
- Mathematik (Grundschule bis Abitur)
- Naturwissenschaften (Physik, Chemie, Biologie)
- Sprachen (Deutsch, Englisch)
- Gesellschaftswissenschaften (Geschichte, Politik)
## Lernstrategien
1. **Konzeptbasiertes Lernen**: Erklaere das "Warum" hinter Regeln
2. **Visualisierung**: Nutze Diagramme und Skizzen wenn moeglich
3. **Verbindungen herstellen**: Verknuepfe neues Wissen mit Bekanntem
4. **Wiederholung**: Baue systematische Wiederholung ein
5. **Selbsttest**: Ermutige zur Selbstueberpruefung
## Einschraenkungen
- Gib NIEMALS vollstaendige Loesungen fuer Hausaufgaben
- Verweise bei komplexen Themen auf Lehrkraefte
- Erkenne Frustration und biete Pausen an
- Keine Unterstuetzung bei Pruefungsbetrug
- Keine medizinischen oder rechtlichen Ratschlaege
## Eskalation
- Bei wiederholtem Unverstaendnis: Schlage alternatives Erklaerformat vor
- Bei emotionaler Belastung: Empfehle Gespraech mit Vertrauensperson
- Bei technischen Problemen: Eskaliere an Support
- Bei Verdacht auf Lernschwierigkeiten: Empfehle professionelle Diagnostik
## Metrik-Ziele
- Verstaendnis-Score > 80% bei Nachfragen
- Engagement-Zeit > 5 Minuten pro Session
- Wiederbesuchs-Rate > 60%
- Frustrations-Indikatoren < 10%`,
color: '#3b82f6',
status: 'running',
activeSessions: 12,
totalProcessed: 1847,
avgResponseTime: 234,
errorRate: 0.5,
lastRestart: '2025-01-14T08:30:00Z',
version: '1.2.0',
createdAt: '2024-11-01T00:00:00Z',
updatedAt: '2025-01-14T10:15:00Z'
},
'grader-agent': {
id: 'grader-agent',
name: 'GraderAgent',
description: 'Objektiver, fairer Pruefer von Schuelerarbeiten',
soulFile: 'grader-agent.soul.md',
soulContent: `# GraderAgent SOUL
## Identitaet
Du bist ein objektiver, fairer Pruefer von Schuelerarbeiten.
Dein Ziel ist konstruktives Feedback, das zum Lernen motiviert.
## Kernprinzipien
- **Objektivitaet**: Bewerte nach festgelegten Kriterien, nicht nach Sympathie
- **Fairness**: Gleiche Massstaebe fuer alle Schueler
- **Konstruktivitaet**: Feedback soll zum Lernen anregen
- **Transparenz**: Begruende jede Bewertung nachvollziehbar
## Bewertungsprinzipien
- Bewerte nach festgelegten Kriterien (Erwartungshorizont)
- Beruecksichtige Teilleistungen
- Unterscheide zwischen Fluechtigkeitsfehlern und Verstaendnisluecken
- Formuliere Feedback lernfoerdernd
- Nutze das 15-Punkte-System korrekt (0-15 Punkte, 5 = ausreichend)
## Workflow
1. Lies die Aufgabenstellung und den Erwartungshorizont
2. Analysiere die Schuelerantwort systematisch
3. Identifiziere korrekte Elemente
4. Identifiziere Fehler mit Kategorisierung
5. Vergebe Punkte nach Kriterienkatalog
6. Formuliere konstruktives Feedback
## Fehlerkategorien
- **Rechtschreibung (R)**: Orthografische Fehler
- **Grammatik (Gr)**: Grammatikalische Fehler
- **Ausdruck (A)**: Stilistische Schwaechen
- **Inhalt (I)**: Fachliche Fehler oder Luecken
- **Struktur (St)**: Aufbau- und Gliederungsprobleme
- **Logik (L)**: Argumentationsfehler
## Qualitaetssicherung
- Bei Unsicherheit: Markiere zur manuellen Ueberpruefung
- Bei Grenzfaellen: Dokumentiere Entscheidungsgrundlage
- Konsistenz: Vergleiche mit aehnlichen Bewertungen
- Kalibrierung: Orientiere an Vergleichsarbeiten
## Eskalation
- Unleserliche Antworten: Markiere fuer manuelles Review
- Verdacht auf Plagiat: Eskaliere an Lehrkraft
- Technische Fehler: Pausiere und melde
- Unklare Aufgabenstellung: Frage nach Klarstellung`,
color: '#10b981',
status: 'running',
activeSessions: 3,
totalProcessed: 456,
avgResponseTime: 1205,
errorRate: 1.2,
lastRestart: '2025-01-13T14:00:00Z',
version: '1.1.0',
createdAt: '2024-11-01T00:00:00Z',
updatedAt: '2025-01-13T16:30:00Z'
},
'quality-judge': {
id: 'quality-judge',
name: 'QualityJudge',
description: 'Kritischer Qualitaetspruefer fuer KI-generierte Inhalte',
soulFile: 'quality-judge.soul.md',
soulContent: `# QualityJudge SOUL
## Identitaet
Du bist ein kritischer Qualitaetspruefer fuer KI-generierte Inhalte.
Dein Ziel ist die Sicherstellung hoher Qualitaetsstandards.
## Bewertungsdimensionen
### 1. Intent Accuracy (0-100)
- Wurde die Benutzerabsicht korrekt erkannt?
- Stimmt die Kategorie der Antwort?
### 2. Faithfulness (1-5)
- **5**: Vollstaendig faktisch korrekt
- **4**: Minor Ungenauigkeiten ohne Auswirkung
- **3**: Einige Ungenauigkeiten, Kernaussage korrekt
- **2**: Signifikante Fehler
- **1**: Grundlegend falsch
### 3. Relevance (1-5)
- **5**: Direkt und vollstaendig relevant
- **4**: Weitgehend relevant
- **3**: Teilweise relevant
- **2**: Geringe Relevanz
- **1**: Voellig irrelevant
### 4. Coherence (1-5)
- **5**: Perfekt strukturiert und logisch
- **4**: Gut strukturiert, kleine Luecken
- **3**: Verstaendlich, aber verbesserungsfaehig
- **2**: Schwer zu folgen
- **1**: Unverstaendlich/chaotisch
### 5. Safety ("pass"/"fail")
- Keine DSGVO-Verstoesse (keine PII)
- Keine schaedlichen Inhalte
- Keine Desinformation
- Keine Diskriminierung
- Altersgerechte Sprache
## Schwellenwerte
- **Production Ready**: composite >= 80
- **Needs Review**: 60 <= composite < 80
- **Failed**: composite < 60`,
color: '#f59e0b',
status: 'running',
activeSessions: 8,
totalProcessed: 3291,
avgResponseTime: 89,
errorRate: 0.3,
lastRestart: '2025-01-14T06:00:00Z',
version: '2.0.0',
createdAt: '2024-10-15T00:00:00Z',
updatedAt: '2025-01-14T08:00:00Z'
},
'alert-agent': {
id: 'alert-agent',
name: 'AlertAgent',
description: 'Aufmerksamer Waechter fuer das Breakpilot-System',
soulFile: 'alert-agent.soul.md',
soulContent: `# AlertAgent SOUL
## Identitaet
Du bist ein aufmerksamer Waechter fuer das Breakpilot-System.
Dein Ziel ist die rechtzeitige Erkennung und Kommunikation relevanter Ereignisse.
## Importance Levels
### KRITISCH (5)
- Systemausfaelle
- Sicherheitsvorfaelle
- DSGVO-Verstoesse
**Aktion**: Sofortige Benachrichtigung aller Admins
### DRINGEND (4)
- Performance-Probleme
- API-Ausfaelle
- Hohe Fehlerraten
**Aktion**: Benachrichtigung innerhalb 5 Minuten
### WICHTIG (3)
- Neue kritische Nachrichten
- Relevante Bildungspolitik
- Technische Warnungen
**Aktion**: Taeglicher Digest
### PRUEFEN (2)
- Interessante Entwicklungen
- Konkurrenznachrichten
**Aktion**: Woechentlicher Digest
### INFO (1)
- Allgemeine Updates
**Aktion**: Archivieren`,
color: '#ef4444',
status: 'running',
activeSessions: 1,
totalProcessed: 892,
avgResponseTime: 45,
errorRate: 0.1,
lastRestart: '2025-01-12T00:00:00Z',
version: '1.0.0',
createdAt: '2024-12-01T00:00:00Z',
updatedAt: '2025-01-12T02:00:00Z'
},
'orchestrator': {
id: 'orchestrator',
name: 'Orchestrator',
description: 'Zentraler Koordinator des Multi-Agent-Systems',
soulFile: 'orchestrator.soul.md',
soulContent: `# OrchestratorAgent SOUL
## Identitaet
Du bist der zentrale Koordinator des Breakpilot Multi-Agent-Systems.
Dein Ziel ist die effiziente Verteilung und Ueberwachung von Aufgaben.
## Kernprinzipien
- **Effizienz**: Minimale Latenz bei maximaler Qualitaet
- **Resilienz**: Graceful Degradation bei Agent-Ausfaellen
- **Fairness**: Ausgewogene Lastverteilung
- **Transparenz**: Volle Nachvollziehbarkeit aller Entscheidungen
## Verantwortlichkeiten
1. Task-Routing zu spezialisierten Agents
2. Session-Management und Recovery
3. Agent-Gesundheitsueberwachung
4. Lastverteilung
5. Fehlerbehandlung und Retry-Logik
## Task-Routing-Logik
| Intent-Kategorie | Primaerer Agent | Fallback |
|------------------|-----------------|----------|
| learning_support | TutorAgent | Manuell |
| exam_grading | GraderAgent | QualityJudge |
| quality_check | QualityJudge | Manual Review |
| system_alert | AlertAgent | E-Mail Fallback |
## Fehlerbehandlung
### Retry-Policy
- **Max Retries**: 3
- **Backoff**: Exponential (1s, 2s, 4s)
- **Keine Retries**: Validation Errors, Auth Failures
### Circuit Breaker
- **Threshold**: 5 Fehler in 60 Sekunden
- **Cooldown**: 30 Sekunden
## Metriken
- **Task Completion Rate**: > 99%
- **Average Latency**: < 2s
- **Error Rate**: < 1%`,
color: '#8b5cf6',
status: 'running',
activeSessions: 24,
totalProcessed: 8934,
avgResponseTime: 12,
errorRate: 0.2,
lastRestart: '2025-01-14T00:00:00Z',
version: '1.5.0',
createdAt: '2024-10-01T00:00:00Z',
updatedAt: '2025-01-14T00:30:00Z'
}
}
const mockChangeLogs: ChangeLog[] = [
{ id: '1', timestamp: '2025-01-14T10:15:00Z', user: 'admin@breakpilot.de', action: 'SOUL Updated', description: 'Kommunikationsstil angepasst' },
{ id: '2', timestamp: '2025-01-13T14:30:00Z', user: 'lehrer1@schule.de', action: 'Einschraenkung hinzugefuegt', description: 'Keine Hausaufgaben-Loesungen' },
{ id: '3', timestamp: '2025-01-10T09:00:00Z', user: 'admin@breakpilot.de', action: 'Version 1.2.0', description: 'Neue Fachgebiete hinzugefuegt' },
const TABS: { id: TabId; label: string; icon: typeof FileText }[] = [
{ id: 'soul', label: 'SOUL-File', icon: FileText },
{ id: 'stats', label: 'Live-Statistiken', icon: Activity },
{ id: 'history', label: 'Aenderungshistorie', icon: History },
]
export default function AgentDetailPage() {
const params = useParams()
const router = useRouter()
const agentId = params.agentId as string
const [agent, setAgent] = useState<AgentDetail | null>(null)
@@ -350,10 +31,9 @@ export default function AgentDetailPage() {
const [isEditing, setIsEditing] = useState(false)
const [hasChanges, setHasChanges] = useState(false)
const [saving, setSaving] = useState(false)
const [activeTab, setActiveTab] = useState<'soul' | 'stats' | 'history'>('soul')
const [activeTab, setActiveTab] = useState<TabId>('soul')
useEffect(() => {
// Load agent data
const agentData = mockAgentDetails[agentId]
if (agentData) {
setAgent(agentData)
@@ -363,10 +43,7 @@ export default function AgentDetailPage() {
const handleSave = async () => {
setSaving(true)
// In production, save to API
// await fetch(`/api/admin/agents/${agentId}/soul`, { method: 'PUT', body: editedContent })
await new Promise(resolve => setTimeout(resolve, 1000))
if (agent) {
setAgent({ ...agent, soulContent: editedContent, updatedAt: new Date().toISOString() })
}
@@ -393,7 +70,7 @@ export default function AgentDetailPage() {
<div className="text-center py-12">
<AlertTriangle className="w-12 h-12 text-amber-500 mx-auto mb-4" />
<h2 className="text-xl font-semibold text-gray-900 mb-2">Agent nicht gefunden</h2>
<p className="text-gray-500 mb-4">Der Agent "{agentId}" existiert nicht.</p>
<p className="text-gray-500 mb-4">Der Agent &quot;{agentId}&quot; existiert nicht.</p>
<Link href="/ai/agents" className="text-teal-600 hover:text-teal-700">
&larr; Zurueck zur Uebersicht
</Link>
@@ -404,231 +81,46 @@ export default function AgentDetailPage() {
return (
<div className="p-6 max-w-7xl mx-auto">
{/* Header */}
<div className="flex items-center justify-between mb-6">
<div className="flex items-center gap-4">
<Link
href="/ai/agents"
className="p-2 hover:bg-gray-100 rounded-lg transition-colors"
>
<ArrowLeft className="w-5 h-5 text-gray-600" />
</Link>
<div
className="p-3 rounded-xl"
style={{ backgroundColor: `${agent.color}20` }}
>
<Brain className="w-6 h-6" style={{ color: agent.color }} />
</div>
<div>
<h1 className="text-2xl font-bold text-gray-900">{agent.name}</h1>
<p className="text-gray-500">{agent.description}</p>
</div>
</div>
<div className="flex items-center gap-3">
<div className={`flex items-center gap-2 px-3 py-1.5 rounded-full text-sm font-medium ${
agent.status === 'running' ? 'bg-green-100 text-green-700' :
agent.status === 'paused' ? 'bg-yellow-100 text-yellow-700' :
'bg-red-100 text-red-700'
}`}>
{agent.status === 'running' ? <CheckCircle className="w-4 h-4" /> :
agent.status === 'paused' ? <Pause className="w-4 h-4" /> :
<XCircle className="w-4 h-4" />}
{agent.status}
</div>
<button className="flex items-center gap-2 px-4 py-2 border border-gray-300 rounded-lg hover:bg-gray-50 transition-colors">
{agent.status === 'running' ? (
<>
<Pause className="w-4 h-4" />
Pausieren
</>
) : (
<>
<Play className="w-4 h-4" />
Starten
</>
)}
</button>
</div>
</div>
{/* Stats Bar */}
<div className="grid grid-cols-5 gap-4 mb-6">
<div className="bg-white border border-gray-200 rounded-lg p-4">
<div className="text-sm text-gray-500">Aktive Sessions</div>
<div className="text-2xl font-bold text-gray-900">{agent.activeSessions}</div>
</div>
<div className="bg-white border border-gray-200 rounded-lg p-4">
<div className="text-sm text-gray-500">Verarbeitet (24h)</div>
<div className="text-2xl font-bold text-gray-900">{agent.totalProcessed.toLocaleString()}</div>
</div>
<div className="bg-white border border-gray-200 rounded-lg p-4">
<div className="text-sm text-gray-500">Avg. Antwortzeit</div>
<div className="text-2xl font-bold text-gray-900">{agent.avgResponseTime}ms</div>
</div>
<div className="bg-white border border-gray-200 rounded-lg p-4">
<div className="text-sm text-gray-500">Fehlerrate</div>
<div className="text-2xl font-bold text-amber-600">{agent.errorRate}%</div>
</div>
<div className="bg-white border border-gray-200 rounded-lg p-4">
<div className="text-sm text-gray-500">Version</div>
<div className="text-2xl font-bold text-gray-900">{agent.version}</div>
</div>
</div>
<AgentHeader agent={agent} />
<AgentStatsBar agent={agent} />
{/* Tabs */}
<div className="bg-white border border-gray-200 rounded-xl overflow-hidden">
<div className="border-b border-gray-200">
<div className="flex">
<button
onClick={() => setActiveTab('soul')}
className={`flex items-center gap-2 px-6 py-4 text-sm font-medium border-b-2 transition-colors ${
activeTab === 'soul'
? 'border-teal-500 text-teal-600'
: 'border-transparent text-gray-500 hover:text-gray-700'
}`}
>
<FileText className="w-4 h-4" />
SOUL-File
</button>
<button
onClick={() => setActiveTab('stats')}
className={`flex items-center gap-2 px-6 py-4 text-sm font-medium border-b-2 transition-colors ${
activeTab === 'stats'
? 'border-teal-500 text-teal-600'
: 'border-transparent text-gray-500 hover:text-gray-700'
}`}
>
<Activity className="w-4 h-4" />
Live-Statistiken
</button>
<button
onClick={() => setActiveTab('history')}
className={`flex items-center gap-2 px-6 py-4 text-sm font-medium border-b-2 transition-colors ${
activeTab === 'history'
? 'border-teal-500 text-teal-600'
: 'border-transparent text-gray-500 hover:text-gray-700'
}`}
>
<History className="w-4 h-4" />
Aenderungshistorie
</button>
{TABS.map(({ id, label, icon: Icon }) => (
<button
key={id}
onClick={() => setActiveTab(id)}
className={`flex items-center gap-2 px-6 py-4 text-sm font-medium border-b-2 transition-colors ${
activeTab === id
? 'border-teal-500 text-teal-600'
: 'border-transparent text-gray-500 hover:text-gray-700'
}`}
>
<Icon className="w-4 h-4" />
{label}
</button>
))}
</div>
</div>
{/* Tab Content */}
<div className="p-6">
{activeTab === 'soul' && (
<div>
<div className="flex items-center justify-between mb-4">
<div className="flex items-center gap-2 text-sm text-gray-500">
<FileText className="w-4 h-4" />
{agent.soulFile}
<span className="text-gray-300">|</span>
<Clock className="w-4 h-4" />
Zuletzt geaendert: {new Date(agent.updatedAt).toLocaleString('de-DE')}
</div>
<div className="flex items-center gap-2">
{isEditing ? (
<>
<button
onClick={handleReset}
disabled={!hasChanges}
className="flex items-center gap-2 px-4 py-2 border border-gray-300 rounded-lg hover:bg-gray-50 transition-colors disabled:opacity-50"
>
<RotateCcw className="w-4 h-4" />
Zuruecksetzen
</button>
<button
onClick={handleSave}
disabled={!hasChanges || saving}
className="flex items-center gap-2 px-4 py-2 bg-teal-600 text-white rounded-lg hover:bg-teal-700 transition-colors disabled:opacity-50"
>
<Save className="w-4 h-4" />
{saving ? 'Speichert...' : 'Speichern'}
</button>
</>
) : (
<button
onClick={() => setIsEditing(true)}
className="flex items-center gap-2 px-4 py-2 bg-teal-600 text-white rounded-lg hover:bg-teal-700 transition-colors"
>
<Edit3 className="w-4 h-4" />
Bearbeiten
</button>
)}
</div>
</div>
{hasChanges && (
<div className="mb-4 p-3 bg-amber-50 border border-amber-200 rounded-lg flex items-center gap-2 text-amber-700">
<AlertTriangle className="w-4 h-4" />
<span className="text-sm">Ungespeicherte Aenderungen vorhanden</span>
</div>
)}
<div className="relative">
{isEditing ? (
<textarea
value={editedContent}
onChange={(e) => handleContentChange(e.target.value)}
className="w-full h-[600px] p-4 font-mono text-sm bg-gray-50 border border-gray-200 rounded-lg focus:outline-none focus:ring-2 focus:ring-teal-500 focus:border-transparent resize-none"
spellCheck={false}
/>
) : (
<div className="w-full h-[600px] p-4 font-mono text-sm bg-gray-50 border border-gray-200 rounded-lg overflow-auto whitespace-pre-wrap">
{agent.soulContent}
</div>
)}
</div>
<div className="mt-4 p-4 bg-blue-50 border border-blue-200 rounded-lg">
<h4 className="font-medium text-blue-900 mb-2">Hinweise zur SOUL-Datei</h4>
<ul className="text-sm text-blue-700 space-y-1">
<li> Die SOUL-Datei definiert die Persoenlichkeit und das Verhalten des Agents</li>
<li> Aenderungen werden nach dem Speichern sofort wirksam</li>
<li> Testen Sie Aenderungen zuerst im Staging-Modus</li>
<li> Alle Aenderungen werden in der Historie protokolliert</li>
</ul>
</div>
</div>
)}
{activeTab === 'stats' && (
<div className="space-y-6">
<div className="text-center py-12 text-gray-500">
<Activity className="w-12 h-12 mx-auto mb-4 text-gray-400" />
<p>Live-Statistiken werden in einer zukuenftigen Version verfuegbar sein.</p>
<p className="text-sm mt-2">
Besuchen Sie die <Link href="/ai/agents/statistics" className="text-teal-600 hover:underline">Statistik-Seite</Link> fuer aggregierte Daten.
</p>
</div>
</div>
)}
{activeTab === 'history' && (
<div>
<div className="space-y-4">
{mockChangeLogs.map((log) => (
<div key={log.id} className="flex items-start gap-4 p-4 bg-gray-50 rounded-lg">
<div className="p-2 bg-white rounded-full border border-gray-200">
<History className="w-4 h-4 text-gray-500" />
</div>
<div className="flex-1">
<div className="flex items-center justify-between">
<span className="font-medium text-gray-900">{log.action}</span>
<span className="text-sm text-gray-500">
{new Date(log.timestamp).toLocaleString('de-DE')}
</span>
</div>
<p className="text-sm text-gray-600 mt-1">{log.description}</p>
<p className="text-xs text-gray-400 mt-1">von {log.user}</p>
</div>
</div>
))}
</div>
</div>
<SoulTabContent
agent={agent}
editedContent={editedContent}
isEditing={isEditing}
hasChanges={hasChanges}
saving={saving}
onContentChange={handleContentChange}
onSave={handleSave}
onReset={handleReset}
onStartEditing={() => setIsEditing(true)}
/>
)}
{activeTab === 'stats' && <StatsTabContent />}
{activeTab === 'history' && <HistoryTabContent changeLogs={mockChangeLogs} />}
</div>
</div>
</div>

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import { Brain, CheckCircle, Shield, AlertTriangle, MessageSquare } from 'lucide-react'
interface AgentCardProps {
icon: React.ReactNode
bgColor: string
hoverBorder: string
name: string
description: string
tags: { label: string; colorClasses: string }[]
soulInfo: string
}
function AgentCard({ icon, bgColor, hoverBorder, name, description, tags, soulInfo }: AgentCardProps) {
return (
<div className={`border border-gray-200 rounded-xl p-4 ${hoverBorder} transition-colors`}>
<div className="flex items-start gap-4">
<div className={`p-3 ${bgColor} rounded-lg`}>
{icon}
</div>
<div className="flex-1">
<h4 className="font-semibold text-gray-900">{name}</h4>
<p className="text-sm text-gray-600 mb-2">{description}</p>
<div className="flex flex-wrap gap-2">
{tags.map(tag => (
<span key={tag.label} className={`px-2 py-1 ${tag.colorClasses} text-xs rounded-full`}>
{tag.label}
</span>
))}
</div>
<div className="mt-2 text-xs text-gray-500">{soulInfo}</div>
</div>
</div>
</div>
)
}
const AGENTS: AgentCardProps[] = [
{
icon: <Brain className="w-6 h-6 text-blue-600" />,
bgColor: 'bg-blue-100',
hoverBorder: 'hover:border-blue-300',
name: 'TutorAgent',
description: 'Lernbegleitung und Fragen beantworten',
tags: [
{ label: 'Geduldig', colorClasses: 'bg-blue-50 text-blue-700' },
{ label: 'Ermutigend', colorClasses: 'bg-blue-50 text-blue-700' },
{ label: 'Sokratisch', colorClasses: 'bg-blue-50 text-blue-700' },
],
soulInfo: 'SOUL: tutor-agent.soul.md | Routing: learning_*, help_*, question_*',
},
{
icon: <CheckCircle className="w-6 h-6 text-green-600" />,
bgColor: 'bg-green-100',
hoverBorder: 'hover:border-green-300',
name: 'GraderAgent',
description: 'Klausur-Korrektur und Bewertung',
tags: [
{ label: 'Objektiv', colorClasses: 'bg-green-50 text-green-700' },
{ label: 'Fair', colorClasses: 'bg-green-50 text-green-700' },
{ label: 'Konstruktiv', colorClasses: 'bg-green-50 text-green-700' },
],
soulInfo: 'SOUL: grader-agent.soul.md | Routing: grade_*, evaluate_*, correct_*',
},
{
icon: <Shield className="w-6 h-6 text-amber-600" />,
bgColor: 'bg-amber-100',
hoverBorder: 'hover:border-amber-300',
name: 'QualityJudge',
description: 'BQAS Qualitaetspruefung',
tags: [
{ label: 'Kritisch', colorClasses: 'bg-amber-50 text-amber-700' },
{ label: 'Praezise', colorClasses: 'bg-amber-50 text-amber-700' },
{ label: 'Schnell', colorClasses: 'bg-amber-50 text-amber-700' },
],
soulInfo: 'SOUL: quality-judge.soul.md | Routing: quality_*, review_*, validate_*',
},
{
icon: <AlertTriangle className="w-6 h-6 text-red-600" />,
bgColor: 'bg-red-100',
hoverBorder: 'hover:border-red-300',
name: 'AlertAgent',
description: 'Monitoring und Benachrichtigungen',
tags: [
{ label: 'Wachsam', colorClasses: 'bg-red-50 text-red-700' },
{ label: 'Proaktiv', colorClasses: 'bg-red-50 text-red-700' },
{ label: 'Priorisierend', colorClasses: 'bg-red-50 text-red-700' },
],
soulInfo: 'SOUL: alert-agent.soul.md | Routing: alert_*, monitor_*, notify_*',
},
{
icon: <MessageSquare className="w-6 h-6 text-purple-600" />,
bgColor: 'bg-purple-100',
hoverBorder: 'hover:border-purple-300',
name: 'Orchestrator',
description: 'Task-Koordination und Routing',
tags: [
{ label: 'Koordinierend', colorClasses: 'bg-purple-50 text-purple-700' },
{ label: 'Effizient', colorClasses: 'bg-purple-50 text-purple-700' },
{ label: 'Zuverlaessig', colorClasses: 'bg-purple-50 text-purple-700' },
],
soulInfo: 'SOUL: orchestrator.soul.md | Routing: Fallback fuer alle unbekannten Intents',
},
]
export function AgentTypesSection() {
return (
<div className="space-y-4">
<p className="text-gray-600 mb-4">
Jeder Agent hat eine spezialisierte Rolle im System. Die Agents kommunizieren ueber den Message Bus
und nutzen das Shared Brain fuer konsistente Entscheidungen.
</p>
<div className="grid gap-4">
{AGENTS.map(agent => (
<AgentCard key={agent.name} {...agent} />
))}
</div>
</div>
)
}

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export function DatabaseSchemaSection() {
return (
<div className="space-y-4">
<p className="text-gray-600 mb-4">
Das Agent-System nutzt PostgreSQL fuer persistente Daten und Valkey (Redis) fuer Caching und Pub/Sub.
</p>
<div className="space-y-4">
{/* agent_sessions */}
<div className="bg-white border border-gray-200 rounded-xl p-4">
<h4 className="font-semibold text-gray-900 mb-2 font-mono">agent_sessions</h4>
<p className="text-sm text-gray-600 mb-3">Speichert Session-Daten mit Checkpoints</p>
<div className="bg-gray-50 rounded-lg p-3 font-mono text-xs overflow-x-auto">
<pre>{`
CREATE TABLE agent_sessions (
id UUID PRIMARY KEY,
agent_type VARCHAR(50) NOT NULL,
user_id UUID REFERENCES users(id),
state VARCHAR(20) NOT NULL DEFAULT 'active',
context JSONB DEFAULT '{}',
checkpoints JSONB DEFAULT '[]',
created_at TIMESTAMPTZ DEFAULT NOW(),
updated_at TIMESTAMPTZ DEFAULT NOW(),
last_heartbeat TIMESTAMPTZ DEFAULT NOW()
);
`}</pre>
</div>
</div>
{/* agent_memory */}
<div className="bg-white border border-gray-200 rounded-xl p-4">
<h4 className="font-semibold text-gray-900 mb-2 font-mono">agent_memory</h4>
<p className="text-sm text-gray-600 mb-3">Langzeit-Gedaechtnis mit TTL</p>
<div className="bg-gray-50 rounded-lg p-3 font-mono text-xs overflow-x-auto">
<pre>{`
CREATE TABLE agent_memory (
id UUID PRIMARY KEY,
namespace VARCHAR(100) NOT NULL,
key VARCHAR(500) NOT NULL,
value JSONB NOT NULL,
agent_id VARCHAR(50) NOT NULL,
access_count INTEGER DEFAULT 0,
created_at TIMESTAMPTZ DEFAULT NOW(),
expires_at TIMESTAMPTZ,
UNIQUE(namespace, key)
);
`}</pre>
</div>
</div>
{/* agent_messages */}
<div className="bg-white border border-gray-200 rounded-xl p-4">
<h4 className="font-semibold text-gray-900 mb-2 font-mono">agent_messages</h4>
<p className="text-sm text-gray-600 mb-3">Audit-Trail fuer Inter-Agent Kommunikation</p>
<div className="bg-gray-50 rounded-lg p-3 font-mono text-xs overflow-x-auto">
<pre>{`
CREATE TABLE agent_messages (
id UUID PRIMARY KEY,
sender VARCHAR(50) NOT NULL,
receiver VARCHAR(50) NOT NULL,
message_type VARCHAR(50) NOT NULL,
payload JSONB NOT NULL,
priority INTEGER DEFAULT 1,
correlation_id UUID,
created_at TIMESTAMPTZ DEFAULT NOW()
);
`}</pre>
</div>
</div>
</div>
</div>
)
}

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export function MessageBusSection() {
return (
<div className="space-y-4">
<p className="text-gray-600 mb-4">
Der Message Bus ermoeglicht die asynchrone Kommunikation zwischen Agents via Redis Pub/Sub.
Er unterstuetzt Prioritaeten, Request-Response-Pattern und Broadcast-Nachrichten.
</p>
<div className="bg-gray-50 rounded-xl p-6 font-mono text-sm">
<div className="text-gray-500 mb-2"># Nachrichtenfluss</div>
<pre className="text-gray-700">{`
┌──────────────┐ ┌──────────────┐
│ Sender │ │ Receiver │
│ (Agent) │ │ (Agent) │
└──────┬───────┘ └──────▲───────┘
│ │
│ publish(AgentMessage) │ handle(message)
│ │
▼ │
┌────────────────────────────────────────────────────────┐
│ Message Bus │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Priority Q │ │ Routing │ │ Logging │ │
│ │ HIGH/NORMAL │ │ Rules │ │ Audit │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │
│ Redis Pub/Sub │
└────────────────────────────────────────────────────────┘
`}</pre>
</div>
<div className="mt-6">
<h4 className="font-semibold text-gray-900 mb-3">Nachrichtentypen</h4>
<div className="overflow-x-auto">
<table className="min-w-full border border-gray-200 rounded-lg">
<thead className="bg-gray-50">
<tr>
<th className="px-4 py-2 text-left text-sm font-medium text-gray-900">Typ</th>
<th className="px-4 py-2 text-left text-sm font-medium text-gray-900">Prioritaet</th>
<th className="px-4 py-2 text-left text-sm font-medium text-gray-900">Beschreibung</th>
</tr>
</thead>
<tbody className="divide-y divide-gray-200">
<tr>
<td className="px-4 py-2 text-sm font-mono text-gray-700">task_request</td>
<td className="px-4 py-2"><span className="px-2 py-1 bg-yellow-100 text-yellow-700 text-xs rounded">NORMAL</span></td>
<td className="px-4 py-2 text-sm text-gray-600">Neue Aufgabe an Agent senden</td>
</tr>
<tr>
<td className="px-4 py-2 text-sm font-mono text-gray-700">task_response</td>
<td className="px-4 py-2"><span className="px-2 py-1 bg-yellow-100 text-yellow-700 text-xs rounded">NORMAL</span></td>
<td className="px-4 py-2 text-sm text-gray-600">Antwort auf task_request</td>
</tr>
<tr>
<td className="px-4 py-2 text-sm font-mono text-gray-700">escalation</td>
<td className="px-4 py-2"><span className="px-2 py-1 bg-orange-100 text-orange-700 text-xs rounded">HIGH</span></td>
<td className="px-4 py-2 text-sm text-gray-600">Eskalation an anderen Agent</td>
</tr>
<tr>
<td className="px-4 py-2 text-sm font-mono text-gray-700">alert</td>
<td className="px-4 py-2"><span className="px-2 py-1 bg-red-100 text-red-700 text-xs rounded">CRITICAL</span></td>
<td className="px-4 py-2 text-sm text-gray-600">Kritische Benachrichtigung</td>
</tr>
<tr>
<td className="px-4 py-2 text-sm font-mono text-gray-700">heartbeat</td>
<td className="px-4 py-2"><span className="px-2 py-1 bg-gray-100 text-gray-700 text-xs rounded">LOW</span></td>
<td className="px-4 py-2 text-sm text-gray-600">Liveness-Signal</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
)
}

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import { Server, Brain, GitBranch } from 'lucide-react'
export function OverviewSection() {
return (
<div className="space-y-6">
<p className="text-gray-600">
Das Breakpilot Multi-Agent-System basiert auf dem Mission Control Konzept. Es ermoeglicht
die Koordination mehrerer spezialisierter KI-Agents, die gemeinsam komplexe Aufgaben loesen.
</p>
{/* Architecture Diagram */}
<div className="bg-gray-50 rounded-xl p-6 font-mono text-sm overflow-x-auto">
<pre className="text-gray-700">{`
┌─────────────────────────────────────────────────────────────────┐
│ Breakpilot Services │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────────────────┐ │
│ │Voice Service│ │Klausur Svc │ │ Admin-v2 / AlertAgent │ │
│ └──────┬──────┘ └──────┬──────┘ └───────────┬─────────────┘ │
│ │ │ │ │
│ └────────────────┼──────────────────────┘ │
│ │ │
│ ┌───────────────────────▼───────────────────────────────────┐ │
│ │ Agent Core │ │
│ │ ┌─────────────┐ ┌─────────────┐ ┌───────────────────┐ │ │
│ │ │ Sessions │ │Shared Brain │ │ Orchestrator │ │ │
│ │ │ - Manager │ │ - Memory │ │ - Message Bus │ │ │
│ │ │ - Heartbeat │ │ - Context │ │ - Supervisor │ │ │
│ │ │ - Checkpoint│ │ - Knowledge │ │ - Task Router │ │ │
│ │ └─────────────┘ └─────────────┘ └───────────────────┘ │ │
│ └───────────────────────────────────────────────────────────┘ │
│ │ │
│ ┌───────────────────────▼───────────────────────────────────┐ │
│ │ Infrastructure │ │
│ │ Valkey (Redis) PostgreSQL Qdrant │ │
│ └───────────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
`}</pre>
</div>
<div className="grid grid-cols-1 md:grid-cols-3 gap-4">
<div className="bg-blue-50 border border-blue-200 rounded-xl p-4">
<div className="flex items-center gap-2 mb-2">
<Server className="w-5 h-5 text-blue-600" />
<span className="font-semibold text-blue-900">Session Management</span>
</div>
<p className="text-sm text-blue-700">
Verwaltet Agent-Lifecycles mit State Machine, Checkpoints und automatischer Recovery.
</p>
</div>
<div className="bg-purple-50 border border-purple-200 rounded-xl p-4">
<div className="flex items-center gap-2 mb-2">
<Brain className="w-5 h-5 text-purple-600" />
<span className="font-semibold text-purple-900">Shared Brain</span>
</div>
<p className="text-sm text-purple-700">
Gemeinsames Gedaechtnis fuer alle Agents mit TTL, Context-Verwaltung und Knowledge Graph.
</p>
</div>
<div className="bg-green-50 border border-green-200 rounded-xl p-4">
<div className="flex items-center gap-2 mb-2">
<GitBranch className="w-5 h-5 text-green-600" />
<span className="font-semibold text-green-900">Orchestrator</span>
</div>
<p className="text-sm text-green-700">
Message Bus, Supervisor und Task Router fuer die Agent-Koordination.
</p>
</div>
</div>
</div>
)
}

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export function SessionLifecycleSection() {
return (
<div className="space-y-4">
<p className="text-gray-600 mb-4">
Sessions verwalten den Zustand von Agent-Interaktionen. Jede Session hat einen definierten
Lebenszyklus mit Checkpoints fuer Recovery.
</p>
<div className="bg-gray-50 rounded-xl p-6 font-mono text-sm">
<div className="text-gray-500 mb-2"># Session State Machine</div>
<pre className="text-gray-700">{`
┌─────────────────────────────────────┐
│ │
▼ │
┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐
│ ACTIVE │───▶│ PAUSED │───▶│ COMPLETED│ │ FAILED │
└──────────┘ └──────────┘ └──────────┘ └──────────┘
│ │ ▲
│ │ │
└───────────────┴───────────────────────────────┘
(bei Fehler)
States:
- ACTIVE: Session laeuft, Agent verarbeitet Tasks
- PAUSED: Session pausiert, wartet auf Eingabe
- COMPLETED: Session erfolgreich beendet
- FAILED: Session mit Fehler beendet
`}</pre>
</div>
<div className="mt-6">
<h4 className="font-semibold text-gray-900 mb-3">Heartbeat Monitoring</h4>
<div className="bg-white border border-gray-200 rounded-xl p-5">
<div className="grid grid-cols-3 gap-4 text-center">
<div>
<div className="text-2xl font-bold text-gray-900">30s</div>
<div className="text-sm text-gray-500">Timeout</div>
</div>
<div>
<div className="text-2xl font-bold text-gray-900">5s</div>
<div className="text-sm text-gray-500">Check Interval</div>
</div>
<div>
<div className="text-2xl font-bold text-gray-900">3</div>
<div className="text-sm text-gray-500">Max Missed Beats</div>
</div>
</div>
<p className="text-sm text-gray-600 mt-4 text-center">
Nach 3 verpassten Heartbeats wird der Agent als ausgefallen markiert und die
Restart-Policy greift (max. 3 Versuche).
</p>
</div>
</div>
</div>
)
}

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import { Database, Activity, GitBranch } from 'lucide-react'
export function SharedBrainSection() {
return (
<div className="space-y-4">
<p className="text-gray-600 mb-4">
Das Shared Brain speichert Wissen und Kontext, auf den alle Agents zugreifen koennen.
Es besteht aus drei Komponenten: Memory Store, Context Manager und Knowledge Graph.
</p>
<div className="grid grid-cols-1 md:grid-cols-3 gap-4">
<div className="bg-white border border-gray-200 rounded-xl p-5">
<div className="flex items-center gap-2 mb-3">
<Database className="w-5 h-5 text-blue-600" />
<h4 className="font-semibold text-gray-900">Memory Store</h4>
</div>
<p className="text-sm text-gray-600 mb-3">
Langzeit-Gedaechtnis fuer Fakten, Entscheidungen und Lernfortschritte.
</p>
<ul className="text-xs text-gray-500 space-y-1">
<li>- TTL-basierte Expiration (30 Tage default)</li>
<li>- Access-Tracking (Haeufigkeit)</li>
<li>- Pattern-basierte Suche</li>
<li>- Hybrid: Redis + PostgreSQL</li>
</ul>
</div>
<div className="bg-white border border-gray-200 rounded-xl p-5">
<div className="flex items-center gap-2 mb-3">
<Activity className="w-5 h-5 text-purple-600" />
<h4 className="font-semibold text-gray-900">Context Manager</h4>
</div>
<p className="text-sm text-gray-600 mb-3">
Verwaltet Konversationskontext mit automatischer Komprimierung.
</p>
<ul className="text-xs text-gray-500 space-y-1">
<li>- Max 50 Messages pro Context</li>
<li>- Automatische Zusammenfassung</li>
<li>- System-Messages bleiben erhalten</li>
<li>- Entity-Extraktion</li>
</ul>
</div>
<div className="bg-white border border-gray-200 rounded-xl p-5">
<div className="flex items-center gap-2 mb-3">
<GitBranch className="w-5 h-5 text-green-600" />
<h4 className="font-semibold text-gray-900">Knowledge Graph</h4>
</div>
<p className="text-sm text-gray-600 mb-3">
Graph-basierte Darstellung von Entitaeten und ihren Beziehungen.
</p>
<ul className="text-xs text-gray-500 space-y-1">
<li>- Entitaeten: Student, Lehrer, Fach</li>
<li>- Beziehungen: lernt, unterrichtet</li>
<li>- BFS-basierte Pfadsuche</li>
<li>- Verwandte Entitaeten finden</li>
</ul>
</div>
</div>
<div className="bg-gray-50 rounded-xl p-6 font-mono text-sm mt-6">
<div className="text-gray-500 mb-2"># Memory Store Beispiel</div>
<pre className="text-gray-700">{`
# Speichern
await store.remember(
key="student:123:progress",
value={"level": 5, "score": 85, "topic": "algebra"},
agent_id="tutor-agent",
ttl_days=30
)
# Abrufen
progress = await store.recall("student:123:progress")
# → {"level": 5, "score": 85, "topic": "algebra"}
# Suchen
all_progress = await store.search("student:123:*")
# → [Memory(...), Memory(...), ...]
`}</pre>
</div>
</div>
)
}

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export function SoulFilesSection() {
return (
<div className="space-y-4">
<p className="text-gray-600 mb-4">
SOUL-Dateien (Semantic Outline for Unified Learning) definieren die Persoenlichkeit und
Verhaltensregeln jedes Agents. Sie bestimmen, wie ein Agent kommuniziert, entscheidet und eskaliert.
</p>
<div className="bg-gray-900 rounded-xl p-6 text-gray-100 font-mono text-sm overflow-x-auto">
<div className="text-gray-400 mb-4"># Beispiel: tutor-agent.soul.md</div>
<pre className="text-green-400">{`
# TutorAgent SOUL
## Identitaet
Du bist ein geduldiger, ermutigender Lernbegleiter fuer Schueler.
Dein Ziel ist es, Verstaendnis zu foerdern, nicht Antworten vorzugeben.
## Kommunikationsstil
- Verwende einfache, klare Sprache
- Stelle Rueckfragen, um Verstaendnis zu pruefen
- Gib Hinweise statt direkter Loesungen
- Feiere kleine Erfolge
## Fachgebiete
- Mathematik (Grundschule bis Abitur)
- Naturwissenschaften (Physik, Chemie, Biologie)
- Sprachen (Deutsch, Englisch)
## Einschraenkungen
- Gib NIEMALS vollstaendige Loesungen fuer Hausaufgaben
- Verweise bei komplexen Themen auf Lehrkraefte
- Erkenne Frustration und biete Pausen an
## Eskalation
- Bei wiederholtem Unverstaendnis: Schlage alternatives Erklaerformat vor
- Bei emotionaler Belastung: Empfehle Gespraech mit Vertrauensperson
- Bei technischen Problemen: Eskaliere an Support
`}</pre>
</div>
<div className="mt-6">
<h4 className="font-semibold text-gray-900 mb-3">SOUL-Struktur</h4>
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
<div className="bg-white border border-gray-200 rounded-lg p-4">
<h5 className="font-medium text-gray-900 mb-2">Identitaet</h5>
<p className="text-sm text-gray-600">Wer ist der Agent? Welche Rolle nimmt er ein?</p>
</div>
<div className="bg-white border border-gray-200 rounded-lg p-4">
<h5 className="font-medium text-gray-900 mb-2">Kommunikationsstil</h5>
<p className="text-sm text-gray-600">Wie kommuniziert der Agent mit Benutzern?</p>
</div>
<div className="bg-white border border-gray-200 rounded-lg p-4">
<h5 className="font-medium text-gray-900 mb-2">Fachgebiete</h5>
<p className="text-sm text-gray-600">In welchen Bereichen ist der Agent kompetent?</p>
</div>
<div className="bg-white border border-gray-200 rounded-lg p-4">
<h5 className="font-medium text-gray-900 mb-2">Einschraenkungen</h5>
<p className="text-sm text-gray-600">Was darf der Agent NICHT tun?</p>
</div>
<div className="bg-white border border-gray-200 rounded-lg p-4 md:col-span-2">
<h5 className="font-medium text-gray-900 mb-2">Eskalation</h5>
<p className="text-sm text-gray-600">Wann und wie eskaliert der Agent an andere Agents oder Menschen?</p>
</div>
</div>
</div>
</div>
)
}

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export function TaskRoutingSection() {
return (
<div className="space-y-4">
<p className="text-gray-600 mb-4">
Der Task Router entscheidet, welcher Agent eine Anfrage bearbeitet. Er verwendet
Intent-basierte Regeln mit Prioritaeten und Fallback-Ketten.
</p>
<div className="overflow-x-auto">
<table className="min-w-full border border-gray-200 rounded-lg">
<thead className="bg-gray-50">
<tr>
<th className="px-4 py-2 text-left text-sm font-medium text-gray-900">Intent-Pattern</th>
<th className="px-4 py-2 text-left text-sm font-medium text-gray-900">Ziel-Agent</th>
<th className="px-4 py-2 text-left text-sm font-medium text-gray-900">Prioritaet</th>
<th className="px-4 py-2 text-left text-sm font-medium text-gray-900">Fallback</th>
</tr>
</thead>
<tbody className="divide-y divide-gray-200">
<tr>
<td className="px-4 py-2 text-sm font-mono text-blue-700">learning_*</td>
<td className="px-4 py-2 text-sm text-gray-700">TutorAgent</td>
<td className="px-4 py-2 text-sm text-gray-700">10</td>
<td className="px-4 py-2 text-sm text-gray-500">Orchestrator</td>
</tr>
<tr>
<td className="px-4 py-2 text-sm font-mono text-blue-700">help_*, question_*</td>
<td className="px-4 py-2 text-sm text-gray-700">TutorAgent</td>
<td className="px-4 py-2 text-sm text-gray-700">8</td>
<td className="px-4 py-2 text-sm text-gray-500">Orchestrator</td>
</tr>
<tr>
<td className="px-4 py-2 text-sm font-mono text-green-700">grade_*, evaluate_*</td>
<td className="px-4 py-2 text-sm text-gray-700">GraderAgent</td>
<td className="px-4 py-2 text-sm text-gray-700">10</td>
<td className="px-4 py-2 text-sm text-gray-500">Orchestrator</td>
</tr>
<tr>
<td className="px-4 py-2 text-sm font-mono text-amber-700">quality_*, review_*</td>
<td className="px-4 py-2 text-sm text-gray-700">QualityJudge</td>
<td className="px-4 py-2 text-sm text-gray-700">10</td>
<td className="px-4 py-2 text-sm text-gray-500">GraderAgent</td>
</tr>
<tr>
<td className="px-4 py-2 text-sm font-mono text-red-700">alert_*, monitor_*</td>
<td className="px-4 py-2 text-sm text-gray-700">AlertAgent</td>
<td className="px-4 py-2 text-sm text-gray-700">10</td>
<td className="px-4 py-2 text-sm text-gray-500">Orchestrator</td>
</tr>
<tr className="bg-gray-50">
<td className="px-4 py-2 text-sm font-mono text-gray-500">* (alle anderen)</td>
<td className="px-4 py-2 text-sm text-gray-700">Orchestrator</td>
<td className="px-4 py-2 text-sm text-gray-700">0</td>
<td className="px-4 py-2 text-sm text-gray-500">-</td>
</tr>
</tbody>
</table>
</div>
<div className="mt-6 grid grid-cols-1 md:grid-cols-2 gap-4">
<div className="bg-white border border-gray-200 rounded-xl p-4">
<h4 className="font-semibold text-gray-900 mb-2">Routing-Strategien</h4>
<ul className="text-sm text-gray-600 space-y-2">
<li><span className="font-mono text-blue-600">ROUND_ROBIN</span> - Gleichmaessige Verteilung</li>
<li><span className="font-mono text-blue-600">LEAST_LOADED</span> - Agent mit wenigsten Tasks</li>
<li><span className="font-mono text-blue-600">PRIORITY</span> - Hoechste Prioritaet zuerst</li>
<li><span className="font-mono text-blue-600">RANDOM</span> - Zufaellige Auswahl</li>
</ul>
</div>
<div className="bg-white border border-gray-200 rounded-xl p-4">
<h4 className="font-semibold text-gray-900 mb-2">Fallback-Verhalten</h4>
<ul className="text-sm text-gray-600 space-y-2">
<li>1. Versuche Ziel-Agent zu erreichen</li>
<li>2. Bei Timeout: Fallback-Agent nutzen</li>
<li>3. Bei Fehler: Orchestrator uebernimmt</li>
<li>4. Bei kritischen Fehlern: Alert an Admin</li>
</ul>
</div>
</div>
</div>
)
}

View File

@@ -0,0 +1,9 @@
export { OverviewSection } from './OverviewSection'
export { AgentTypesSection } from './AgentTypesSection'
export { SoulFilesSection } from './SoulFilesSection'
export { MessageBusSection } from './MessageBusSection'
export { SharedBrainSection } from './SharedBrainSection'
export { TaskRoutingSection } from './TaskRoutingSection'
export { SessionLifecycleSection } from './SessionLifecycleSection'
export { DatabaseSchemaSection } from './DatabaseSchemaSection'
export type { Section } from './types'

View File

@@ -0,0 +1,6 @@
export interface Section {
id: string
title: string
icon: React.ReactNode
content: React.ReactNode
}

View File

@@ -2,17 +2,78 @@
import { useState } from 'react'
import Link from 'next/link'
import { ArrowLeft, Cpu, Brain, MessageSquare, Database, Activity, Shield, ChevronDown, ChevronRight, GitBranch, Layers, Server, FileText, AlertTriangle, CheckCircle, Zap, RefreshCw } from 'lucide-react'
import {
ArrowLeft, Cpu, Brain, MessageSquare, Database,
Activity, ChevronDown, ChevronRight, GitBranch,
Layers, FileText, Zap, RefreshCw,
} from 'lucide-react'
import {
OverviewSection,
AgentTypesSection,
SoulFilesSection,
MessageBusSection,
SharedBrainSection,
TaskRoutingSection,
SessionLifecycleSection,
DatabaseSchemaSection,
} from './_components'
import type { Section } from './_components'
interface Section {
id: string
title: string
icon: React.ReactNode
content: React.ReactNode
}
const SECTIONS: Section[] = [
{
id: 'overview',
title: 'System-Uebersicht',
icon: <Layers className="w-5 h-5" />,
content: <OverviewSection />,
},
{
id: 'agents',
title: 'Agent-Typen',
icon: <Cpu className="w-5 h-5" />,
content: <AgentTypesSection />,
},
{
id: 'soul-files',
title: 'SOUL-Files (Persoenlichkeiten)',
icon: <FileText className="w-5 h-5" />,
content: <SoulFilesSection />,
},
{
id: 'message-bus',
title: 'Message Bus & Kommunikation',
icon: <MessageSquare className="w-5 h-5" />,
content: <MessageBusSection />,
},
{
id: 'shared-brain',
title: 'Shared Brain (Gedaechtnis)',
icon: <Brain className="w-5 h-5" />,
content: <SharedBrainSection />,
},
{
id: 'task-routing',
title: 'Task Routing',
icon: <Zap className="w-5 h-5" />,
content: <TaskRoutingSection />,
},
{
id: 'session-lifecycle',
title: 'Session Lifecycle',
icon: <RefreshCw className="w-5 h-5" />,
content: <SessionLifecycleSection />,
},
{
id: 'database',
title: 'Datenbank-Schema',
icon: <Database className="w-5 h-5" />,
content: <DatabaseSchemaSection />,
},
]
export default function ArchitecturePage() {
const [expandedSections, setExpandedSections] = useState<string[]>(['overview', 'agents', 'soul-files'])
const [expandedSections, setExpandedSections] = useState<string[]>([
'overview', 'agents', 'soul-files',
])
const toggleSection = (id: string) => {
setExpandedSections(prev =>
@@ -22,654 +83,6 @@ export default function ArchitecturePage() {
)
}
const sections: Section[] = [
{
id: 'overview',
title: 'System-Uebersicht',
icon: <Layers className="w-5 h-5" />,
content: (
<div className="space-y-6">
<p className="text-gray-600">
Das Breakpilot Multi-Agent-System basiert auf dem Mission Control Konzept. Es ermoeglicht
die Koordination mehrerer spezialisierter KI-Agents, die gemeinsam komplexe Aufgaben loesen.
</p>
{/* Architecture Diagram */}
<div className="bg-gray-50 rounded-xl p-6 font-mono text-sm overflow-x-auto">
<pre className="text-gray-700">{`
┌─────────────────────────────────────────────────────────────────┐
│ Breakpilot Services │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────────────────┐ │
│ │Voice Service│ │Klausur Svc │ │ Admin-v2 / AlertAgent │ │
│ └──────┬──────┘ └──────┬──────┘ └───────────┬─────────────┘ │
│ │ │ │ │
│ └────────────────┼──────────────────────┘ │
│ │ │
│ ┌───────────────────────▼───────────────────────────────────┐ │
│ │ Agent Core │ │
│ │ ┌─────────────┐ ┌─────────────┐ ┌───────────────────┐ │ │
│ │ │ Sessions │ │Shared Brain │ │ Orchestrator │ │ │
│ │ │ - Manager │ │ - Memory │ │ - Message Bus │ │ │
│ │ │ - Heartbeat │ │ - Context │ │ - Supervisor │ │ │
│ │ │ - Checkpoint│ │ - Knowledge │ │ - Task Router │ │ │
│ │ └─────────────┘ └─────────────┘ └───────────────────┘ │ │
│ └───────────────────────────────────────────────────────────┘ │
│ │ │
│ ┌───────────────────────▼───────────────────────────────────┐ │
│ │ Infrastructure │ │
│ │ Valkey (Redis) PostgreSQL Qdrant │ │
│ └───────────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
`}</pre>
</div>
<div className="grid grid-cols-1 md:grid-cols-3 gap-4">
<div className="bg-blue-50 border border-blue-200 rounded-xl p-4">
<div className="flex items-center gap-2 mb-2">
<Server className="w-5 h-5 text-blue-600" />
<span className="font-semibold text-blue-900">Session Management</span>
</div>
<p className="text-sm text-blue-700">
Verwaltet Agent-Lifecycles mit State Machine, Checkpoints und automatischer Recovery.
</p>
</div>
<div className="bg-purple-50 border border-purple-200 rounded-xl p-4">
<div className="flex items-center gap-2 mb-2">
<Brain className="w-5 h-5 text-purple-600" />
<span className="font-semibold text-purple-900">Shared Brain</span>
</div>
<p className="text-sm text-purple-700">
Gemeinsames Gedaechtnis fuer alle Agents mit TTL, Context-Verwaltung und Knowledge Graph.
</p>
</div>
<div className="bg-green-50 border border-green-200 rounded-xl p-4">
<div className="flex items-center gap-2 mb-2">
<GitBranch className="w-5 h-5 text-green-600" />
<span className="font-semibold text-green-900">Orchestrator</span>
</div>
<p className="text-sm text-green-700">
Message Bus, Supervisor und Task Router fuer die Agent-Koordination.
</p>
</div>
</div>
</div>
)
},
{
id: 'agents',
title: 'Agent-Typen',
icon: <Cpu className="w-5 h-5" />,
content: (
<div className="space-y-4">
<p className="text-gray-600 mb-4">
Jeder Agent hat eine spezialisierte Rolle im System. Die Agents kommunizieren ueber den Message Bus
und nutzen das Shared Brain fuer konsistente Entscheidungen.
</p>
<div className="grid gap-4">
{/* TutorAgent */}
<div className="border border-gray-200 rounded-xl p-4 hover:border-blue-300 transition-colors">
<div className="flex items-start gap-4">
<div className="p-3 bg-blue-100 rounded-lg">
<Brain className="w-6 h-6 text-blue-600" />
</div>
<div className="flex-1">
<h4 className="font-semibold text-gray-900">TutorAgent</h4>
<p className="text-sm text-gray-600 mb-2">Lernbegleitung und Fragen beantworten</p>
<div className="flex flex-wrap gap-2">
<span className="px-2 py-1 bg-blue-50 text-blue-700 text-xs rounded-full">Geduldig</span>
<span className="px-2 py-1 bg-blue-50 text-blue-700 text-xs rounded-full">Ermutigend</span>
<span className="px-2 py-1 bg-blue-50 text-blue-700 text-xs rounded-full">Sokratisch</span>
</div>
<div className="mt-2 text-xs text-gray-500">
SOUL: tutor-agent.soul.md | Routing: learning_*, help_*, question_*
</div>
</div>
</div>
</div>
{/* GraderAgent */}
<div className="border border-gray-200 rounded-xl p-4 hover:border-green-300 transition-colors">
<div className="flex items-start gap-4">
<div className="p-3 bg-green-100 rounded-lg">
<CheckCircle className="w-6 h-6 text-green-600" />
</div>
<div className="flex-1">
<h4 className="font-semibold text-gray-900">GraderAgent</h4>
<p className="text-sm text-gray-600 mb-2">Klausur-Korrektur und Bewertung</p>
<div className="flex flex-wrap gap-2">
<span className="px-2 py-1 bg-green-50 text-green-700 text-xs rounded-full">Objektiv</span>
<span className="px-2 py-1 bg-green-50 text-green-700 text-xs rounded-full">Fair</span>
<span className="px-2 py-1 bg-green-50 text-green-700 text-xs rounded-full">Konstruktiv</span>
</div>
<div className="mt-2 text-xs text-gray-500">
SOUL: grader-agent.soul.md | Routing: grade_*, evaluate_*, correct_*
</div>
</div>
</div>
</div>
{/* QualityJudge */}
<div className="border border-gray-200 rounded-xl p-4 hover:border-amber-300 transition-colors">
<div className="flex items-start gap-4">
<div className="p-3 bg-amber-100 rounded-lg">
<Shield className="w-6 h-6 text-amber-600" />
</div>
<div className="flex-1">
<h4 className="font-semibold text-gray-900">QualityJudge</h4>
<p className="text-sm text-gray-600 mb-2">BQAS Qualitaetspruefung</p>
<div className="flex flex-wrap gap-2">
<span className="px-2 py-1 bg-amber-50 text-amber-700 text-xs rounded-full">Kritisch</span>
<span className="px-2 py-1 bg-amber-50 text-amber-700 text-xs rounded-full">Praezise</span>
<span className="px-2 py-1 bg-amber-50 text-amber-700 text-xs rounded-full">Schnell</span>
</div>
<div className="mt-2 text-xs text-gray-500">
SOUL: quality-judge.soul.md | Routing: quality_*, review_*, validate_*
</div>
</div>
</div>
</div>
{/* AlertAgent */}
<div className="border border-gray-200 rounded-xl p-4 hover:border-red-300 transition-colors">
<div className="flex items-start gap-4">
<div className="p-3 bg-red-100 rounded-lg">
<AlertTriangle className="w-6 h-6 text-red-600" />
</div>
<div className="flex-1">
<h4 className="font-semibold text-gray-900">AlertAgent</h4>
<p className="text-sm text-gray-600 mb-2">Monitoring und Benachrichtigungen</p>
<div className="flex flex-wrap gap-2">
<span className="px-2 py-1 bg-red-50 text-red-700 text-xs rounded-full">Wachsam</span>
<span className="px-2 py-1 bg-red-50 text-red-700 text-xs rounded-full">Proaktiv</span>
<span className="px-2 py-1 bg-red-50 text-red-700 text-xs rounded-full">Priorisierend</span>
</div>
<div className="mt-2 text-xs text-gray-500">
SOUL: alert-agent.soul.md | Routing: alert_*, monitor_*, notify_*
</div>
</div>
</div>
</div>
{/* Orchestrator */}
<div className="border border-gray-200 rounded-xl p-4 hover:border-purple-300 transition-colors">
<div className="flex items-start gap-4">
<div className="p-3 bg-purple-100 rounded-lg">
<MessageSquare className="w-6 h-6 text-purple-600" />
</div>
<div className="flex-1">
<h4 className="font-semibold text-gray-900">Orchestrator</h4>
<p className="text-sm text-gray-600 mb-2">Task-Koordination und Routing</p>
<div className="flex flex-wrap gap-2">
<span className="px-2 py-1 bg-purple-50 text-purple-700 text-xs rounded-full">Koordinierend</span>
<span className="px-2 py-1 bg-purple-50 text-purple-700 text-xs rounded-full">Effizient</span>
<span className="px-2 py-1 bg-purple-50 text-purple-700 text-xs rounded-full">Zuverlaessig</span>
</div>
<div className="mt-2 text-xs text-gray-500">
SOUL: orchestrator.soul.md | Routing: Fallback fuer alle unbekannten Intents
</div>
</div>
</div>
</div>
</div>
</div>
)
},
{
id: 'soul-files',
title: 'SOUL-Files (Persoenlichkeiten)',
icon: <FileText className="w-5 h-5" />,
content: (
<div className="space-y-4">
<p className="text-gray-600 mb-4">
SOUL-Dateien (Semantic Outline for Unified Learning) definieren die Persoenlichkeit und
Verhaltensregeln jedes Agents. Sie bestimmen, wie ein Agent kommuniziert, entscheidet und eskaliert.
</p>
<div className="bg-gray-900 rounded-xl p-6 text-gray-100 font-mono text-sm overflow-x-auto">
<div className="text-gray-400 mb-4"># Beispiel: tutor-agent.soul.md</div>
<pre className="text-green-400">{`
# TutorAgent SOUL
## Identitaet
Du bist ein geduldiger, ermutigender Lernbegleiter fuer Schueler.
Dein Ziel ist es, Verstaendnis zu foerdern, nicht Antworten vorzugeben.
## Kommunikationsstil
- Verwende einfache, klare Sprache
- Stelle Rueckfragen, um Verstaendnis zu pruefen
- Gib Hinweise statt direkter Loesungen
- Feiere kleine Erfolge
## Fachgebiete
- Mathematik (Grundschule bis Abitur)
- Naturwissenschaften (Physik, Chemie, Biologie)
- Sprachen (Deutsch, Englisch)
## Einschraenkungen
- Gib NIEMALS vollstaendige Loesungen fuer Hausaufgaben
- Verweise bei komplexen Themen auf Lehrkraefte
- Erkenne Frustration und biete Pausen an
## Eskalation
- Bei wiederholtem Unverstaendnis: Schlage alternatives Erklaerformat vor
- Bei emotionaler Belastung: Empfehle Gespraech mit Vertrauensperson
- Bei technischen Problemen: Eskaliere an Support
`}</pre>
</div>
<div className="mt-6">
<h4 className="font-semibold text-gray-900 mb-3">SOUL-Struktur</h4>
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
<div className="bg-white border border-gray-200 rounded-lg p-4">
<h5 className="font-medium text-gray-900 mb-2">Identitaet</h5>
<p className="text-sm text-gray-600">Wer ist der Agent? Welche Rolle nimmt er ein?</p>
</div>
<div className="bg-white border border-gray-200 rounded-lg p-4">
<h5 className="font-medium text-gray-900 mb-2">Kommunikationsstil</h5>
<p className="text-sm text-gray-600">Wie kommuniziert der Agent mit Benutzern?</p>
</div>
<div className="bg-white border border-gray-200 rounded-lg p-4">
<h5 className="font-medium text-gray-900 mb-2">Fachgebiete</h5>
<p className="text-sm text-gray-600">In welchen Bereichen ist der Agent kompetent?</p>
</div>
<div className="bg-white border border-gray-200 rounded-lg p-4">
<h5 className="font-medium text-gray-900 mb-2">Einschraenkungen</h5>
<p className="text-sm text-gray-600">Was darf der Agent NICHT tun?</p>
</div>
<div className="bg-white border border-gray-200 rounded-lg p-4 md:col-span-2">
<h5 className="font-medium text-gray-900 mb-2">Eskalation</h5>
<p className="text-sm text-gray-600">Wann und wie eskaliert der Agent an andere Agents oder Menschen?</p>
</div>
</div>
</div>
</div>
)
},
{
id: 'message-bus',
title: 'Message Bus & Kommunikation',
icon: <MessageSquare className="w-5 h-5" />,
content: (
<div className="space-y-4">
<p className="text-gray-600 mb-4">
Der Message Bus ermoeglicht die asynchrone Kommunikation zwischen Agents via Redis Pub/Sub.
Er unterstuetzt Prioritaeten, Request-Response-Pattern und Broadcast-Nachrichten.
</p>
<div className="bg-gray-50 rounded-xl p-6 font-mono text-sm">
<div className="text-gray-500 mb-2"># Nachrichtenfluss</div>
<pre className="text-gray-700">{`
┌──────────────┐ ┌──────────────┐
│ Sender │ │ Receiver │
│ (Agent) │ │ (Agent) │
└──────┬───────┘ └──────▲───────┘
│ │
│ publish(AgentMessage) │ handle(message)
│ │
▼ │
┌────────────────────────────────────────────────────────┐
│ Message Bus │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Priority Q │ │ Routing │ │ Logging │ │
│ │ HIGH/NORMAL │ │ Rules │ │ Audit │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │
│ Redis Pub/Sub │
└────────────────────────────────────────────────────────┘
`}</pre>
</div>
<div className="mt-6">
<h4 className="font-semibold text-gray-900 mb-3">Nachrichtentypen</h4>
<div className="overflow-x-auto">
<table className="min-w-full border border-gray-200 rounded-lg">
<thead className="bg-gray-50">
<tr>
<th className="px-4 py-2 text-left text-sm font-medium text-gray-900">Typ</th>
<th className="px-4 py-2 text-left text-sm font-medium text-gray-900">Prioritaet</th>
<th className="px-4 py-2 text-left text-sm font-medium text-gray-900">Beschreibung</th>
</tr>
</thead>
<tbody className="divide-y divide-gray-200">
<tr>
<td className="px-4 py-2 text-sm font-mono text-gray-700">task_request</td>
<td className="px-4 py-2"><span className="px-2 py-1 bg-yellow-100 text-yellow-700 text-xs rounded">NORMAL</span></td>
<td className="px-4 py-2 text-sm text-gray-600">Neue Aufgabe an Agent senden</td>
</tr>
<tr>
<td className="px-4 py-2 text-sm font-mono text-gray-700">task_response</td>
<td className="px-4 py-2"><span className="px-2 py-1 bg-yellow-100 text-yellow-700 text-xs rounded">NORMAL</span></td>
<td className="px-4 py-2 text-sm text-gray-600">Antwort auf task_request</td>
</tr>
<tr>
<td className="px-4 py-2 text-sm font-mono text-gray-700">escalation</td>
<td className="px-4 py-2"><span className="px-2 py-1 bg-orange-100 text-orange-700 text-xs rounded">HIGH</span></td>
<td className="px-4 py-2 text-sm text-gray-600">Eskalation an anderen Agent</td>
</tr>
<tr>
<td className="px-4 py-2 text-sm font-mono text-gray-700">alert</td>
<td className="px-4 py-2"><span className="px-2 py-1 bg-red-100 text-red-700 text-xs rounded">CRITICAL</span></td>
<td className="px-4 py-2 text-sm text-gray-600">Kritische Benachrichtigung</td>
</tr>
<tr>
<td className="px-4 py-2 text-sm font-mono text-gray-700">heartbeat</td>
<td className="px-4 py-2"><span className="px-2 py-1 bg-gray-100 text-gray-700 text-xs rounded">LOW</span></td>
<td className="px-4 py-2 text-sm text-gray-600">Liveness-Signal</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
)
},
{
id: 'shared-brain',
title: 'Shared Brain (Gedaechtnis)',
icon: <Brain className="w-5 h-5" />,
content: (
<div className="space-y-4">
<p className="text-gray-600 mb-4">
Das Shared Brain speichert Wissen und Kontext, auf den alle Agents zugreifen koennen.
Es besteht aus drei Komponenten: Memory Store, Context Manager und Knowledge Graph.
</p>
<div className="grid grid-cols-1 md:grid-cols-3 gap-4">
<div className="bg-white border border-gray-200 rounded-xl p-5">
<div className="flex items-center gap-2 mb-3">
<Database className="w-5 h-5 text-blue-600" />
<h4 className="font-semibold text-gray-900">Memory Store</h4>
</div>
<p className="text-sm text-gray-600 mb-3">
Langzeit-Gedaechtnis fuer Fakten, Entscheidungen und Lernfortschritte.
</p>
<ul className="text-xs text-gray-500 space-y-1">
<li>- TTL-basierte Expiration (30 Tage default)</li>
<li>- Access-Tracking (Haeufigkeit)</li>
<li>- Pattern-basierte Suche</li>
<li>- Hybrid: Redis + PostgreSQL</li>
</ul>
</div>
<div className="bg-white border border-gray-200 rounded-xl p-5">
<div className="flex items-center gap-2 mb-3">
<Activity className="w-5 h-5 text-purple-600" />
<h4 className="font-semibold text-gray-900">Context Manager</h4>
</div>
<p className="text-sm text-gray-600 mb-3">
Verwaltet Konversationskontext mit automatischer Komprimierung.
</p>
<ul className="text-xs text-gray-500 space-y-1">
<li>- Max 50 Messages pro Context</li>
<li>- Automatische Zusammenfassung</li>
<li>- System-Messages bleiben erhalten</li>
<li>- Entity-Extraktion</li>
</ul>
</div>
<div className="bg-white border border-gray-200 rounded-xl p-5">
<div className="flex items-center gap-2 mb-3">
<GitBranch className="w-5 h-5 text-green-600" />
<h4 className="font-semibold text-gray-900">Knowledge Graph</h4>
</div>
<p className="text-sm text-gray-600 mb-3">
Graph-basierte Darstellung von Entitaeten und ihren Beziehungen.
</p>
<ul className="text-xs text-gray-500 space-y-1">
<li>- Entitaeten: Student, Lehrer, Fach</li>
<li>- Beziehungen: lernt, unterrichtet</li>
<li>- BFS-basierte Pfadsuche</li>
<li>- Verwandte Entitaeten finden</li>
</ul>
</div>
</div>
<div className="bg-gray-50 rounded-xl p-6 font-mono text-sm mt-6">
<div className="text-gray-500 mb-2"># Memory Store Beispiel</div>
<pre className="text-gray-700">{`
# Speichern
await store.remember(
key="student:123:progress",
value={"level": 5, "score": 85, "topic": "algebra"},
agent_id="tutor-agent",
ttl_days=30
)
# Abrufen
progress = await store.recall("student:123:progress")
# → {"level": 5, "score": 85, "topic": "algebra"}
# Suchen
all_progress = await store.search("student:123:*")
# → [Memory(...), Memory(...), ...]
`}</pre>
</div>
</div>
)
},
{
id: 'task-routing',
title: 'Task Routing',
icon: <Zap className="w-5 h-5" />,
content: (
<div className="space-y-4">
<p className="text-gray-600 mb-4">
Der Task Router entscheidet, welcher Agent eine Anfrage bearbeitet. Er verwendet
Intent-basierte Regeln mit Prioritaeten und Fallback-Ketten.
</p>
<div className="overflow-x-auto">
<table className="min-w-full border border-gray-200 rounded-lg">
<thead className="bg-gray-50">
<tr>
<th className="px-4 py-2 text-left text-sm font-medium text-gray-900">Intent-Pattern</th>
<th className="px-4 py-2 text-left text-sm font-medium text-gray-900">Ziel-Agent</th>
<th className="px-4 py-2 text-left text-sm font-medium text-gray-900">Prioritaet</th>
<th className="px-4 py-2 text-left text-sm font-medium text-gray-900">Fallback</th>
</tr>
</thead>
<tbody className="divide-y divide-gray-200">
<tr>
<td className="px-4 py-2 text-sm font-mono text-blue-700">learning_*</td>
<td className="px-4 py-2 text-sm text-gray-700">TutorAgent</td>
<td className="px-4 py-2 text-sm text-gray-700">10</td>
<td className="px-4 py-2 text-sm text-gray-500">Orchestrator</td>
</tr>
<tr>
<td className="px-4 py-2 text-sm font-mono text-blue-700">help_*, question_*</td>
<td className="px-4 py-2 text-sm text-gray-700">TutorAgent</td>
<td className="px-4 py-2 text-sm text-gray-700">8</td>
<td className="px-4 py-2 text-sm text-gray-500">Orchestrator</td>
</tr>
<tr>
<td className="px-4 py-2 text-sm font-mono text-green-700">grade_*, evaluate_*</td>
<td className="px-4 py-2 text-sm text-gray-700">GraderAgent</td>
<td className="px-4 py-2 text-sm text-gray-700">10</td>
<td className="px-4 py-2 text-sm text-gray-500">Orchestrator</td>
</tr>
<tr>
<td className="px-4 py-2 text-sm font-mono text-amber-700">quality_*, review_*</td>
<td className="px-4 py-2 text-sm text-gray-700">QualityJudge</td>
<td className="px-4 py-2 text-sm text-gray-700">10</td>
<td className="px-4 py-2 text-sm text-gray-500">GraderAgent</td>
</tr>
<tr>
<td className="px-4 py-2 text-sm font-mono text-red-700">alert_*, monitor_*</td>
<td className="px-4 py-2 text-sm text-gray-700">AlertAgent</td>
<td className="px-4 py-2 text-sm text-gray-700">10</td>
<td className="px-4 py-2 text-sm text-gray-500">Orchestrator</td>
</tr>
<tr className="bg-gray-50">
<td className="px-4 py-2 text-sm font-mono text-gray-500">* (alle anderen)</td>
<td className="px-4 py-2 text-sm text-gray-700">Orchestrator</td>
<td className="px-4 py-2 text-sm text-gray-700">0</td>
<td className="px-4 py-2 text-sm text-gray-500">-</td>
</tr>
</tbody>
</table>
</div>
<div className="mt-6 grid grid-cols-1 md:grid-cols-2 gap-4">
<div className="bg-white border border-gray-200 rounded-xl p-4">
<h4 className="font-semibold text-gray-900 mb-2">Routing-Strategien</h4>
<ul className="text-sm text-gray-600 space-y-2">
<li><span className="font-mono text-blue-600">ROUND_ROBIN</span> - Gleichmaessige Verteilung</li>
<li><span className="font-mono text-blue-600">LEAST_LOADED</span> - Agent mit wenigsten Tasks</li>
<li><span className="font-mono text-blue-600">PRIORITY</span> - Hoechste Prioritaet zuerst</li>
<li><span className="font-mono text-blue-600">RANDOM</span> - Zufaellige Auswahl</li>
</ul>
</div>
<div className="bg-white border border-gray-200 rounded-xl p-4">
<h4 className="font-semibold text-gray-900 mb-2">Fallback-Verhalten</h4>
<ul className="text-sm text-gray-600 space-y-2">
<li>1. Versuche Ziel-Agent zu erreichen</li>
<li>2. Bei Timeout: Fallback-Agent nutzen</li>
<li>3. Bei Fehler: Orchestrator uebernimmt</li>
<li>4. Bei kritischen Fehlern: Alert an Admin</li>
</ul>
</div>
</div>
</div>
)
},
{
id: 'session-lifecycle',
title: 'Session Lifecycle',
icon: <RefreshCw className="w-5 h-5" />,
content: (
<div className="space-y-4">
<p className="text-gray-600 mb-4">
Sessions verwalten den Zustand von Agent-Interaktionen. Jede Session hat einen definierten
Lebenszyklus mit Checkpoints fuer Recovery.
</p>
<div className="bg-gray-50 rounded-xl p-6 font-mono text-sm">
<div className="text-gray-500 mb-2"># Session State Machine</div>
<pre className="text-gray-700">{`
┌─────────────────────────────────────┐
│ │
▼ │
┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐
│ ACTIVE │───▶│ PAUSED │───▶│ COMPLETED│ │ FAILED │
└──────────┘ └──────────┘ └──────────┘ └──────────┘
│ │ ▲
│ │ │
└───────────────┴───────────────────────────────┘
(bei Fehler)
States:
- ACTIVE: Session laeuft, Agent verarbeitet Tasks
- PAUSED: Session pausiert, wartet auf Eingabe
- COMPLETED: Session erfolgreich beendet
- FAILED: Session mit Fehler beendet
`}</pre>
</div>
<div className="mt-6">
<h4 className="font-semibold text-gray-900 mb-3">Heartbeat Monitoring</h4>
<div className="bg-white border border-gray-200 rounded-xl p-5">
<div className="grid grid-cols-3 gap-4 text-center">
<div>
<div className="text-2xl font-bold text-gray-900">30s</div>
<div className="text-sm text-gray-500">Timeout</div>
</div>
<div>
<div className="text-2xl font-bold text-gray-900">5s</div>
<div className="text-sm text-gray-500">Check Interval</div>
</div>
<div>
<div className="text-2xl font-bold text-gray-900">3</div>
<div className="text-sm text-gray-500">Max Missed Beats</div>
</div>
</div>
<p className="text-sm text-gray-600 mt-4 text-center">
Nach 3 verpassten Heartbeats wird der Agent als ausgefallen markiert und die
Restart-Policy greift (max. 3 Versuche).
</p>
</div>
</div>
</div>
)
},
{
id: 'database',
title: 'Datenbank-Schema',
icon: <Database className="w-5 h-5" />,
content: (
<div className="space-y-4">
<p className="text-gray-600 mb-4">
Das Agent-System nutzt PostgreSQL fuer persistente Daten und Valkey (Redis) fuer Caching und Pub/Sub.
</p>
<div className="space-y-4">
{/* agent_sessions */}
<div className="bg-white border border-gray-200 rounded-xl p-4">
<h4 className="font-semibold text-gray-900 mb-2 font-mono">agent_sessions</h4>
<p className="text-sm text-gray-600 mb-3">Speichert Session-Daten mit Checkpoints</p>
<div className="bg-gray-50 rounded-lg p-3 font-mono text-xs overflow-x-auto">
<pre>{`
CREATE TABLE agent_sessions (
id UUID PRIMARY KEY,
agent_type VARCHAR(50) NOT NULL,
user_id UUID REFERENCES users(id),
state VARCHAR(20) NOT NULL DEFAULT 'active',
context JSONB DEFAULT '{}',
checkpoints JSONB DEFAULT '[]',
created_at TIMESTAMPTZ DEFAULT NOW(),
updated_at TIMESTAMPTZ DEFAULT NOW(),
last_heartbeat TIMESTAMPTZ DEFAULT NOW()
);
`}</pre>
</div>
</div>
{/* agent_memory */}
<div className="bg-white border border-gray-200 rounded-xl p-4">
<h4 className="font-semibold text-gray-900 mb-2 font-mono">agent_memory</h4>
<p className="text-sm text-gray-600 mb-3">Langzeit-Gedaechtnis mit TTL</p>
<div className="bg-gray-50 rounded-lg p-3 font-mono text-xs overflow-x-auto">
<pre>{`
CREATE TABLE agent_memory (
id UUID PRIMARY KEY,
namespace VARCHAR(100) NOT NULL,
key VARCHAR(500) NOT NULL,
value JSONB NOT NULL,
agent_id VARCHAR(50) NOT NULL,
access_count INTEGER DEFAULT 0,
created_at TIMESTAMPTZ DEFAULT NOW(),
expires_at TIMESTAMPTZ,
UNIQUE(namespace, key)
);
`}</pre>
</div>
</div>
{/* agent_messages */}
<div className="bg-white border border-gray-200 rounded-xl p-4">
<h4 className="font-semibold text-gray-900 mb-2 font-mono">agent_messages</h4>
<p className="text-sm text-gray-600 mb-3">Audit-Trail fuer Inter-Agent Kommunikation</p>
<div className="bg-gray-50 rounded-lg p-3 font-mono text-xs overflow-x-auto">
<pre>{`
CREATE TABLE agent_messages (
id UUID PRIMARY KEY,
sender VARCHAR(50) NOT NULL,
receiver VARCHAR(50) NOT NULL,
message_type VARCHAR(50) NOT NULL,
payload JSONB NOT NULL,
priority INTEGER DEFAULT 1,
correlation_id UUID,
created_at TIMESTAMPTZ DEFAULT NOW()
);
`}</pre>
</div>
</div>
</div>
</div>
)
}
]
return (
<div className="p-6 max-w-5xl mx-auto">
{/* Header */}
@@ -696,7 +109,7 @@ CREATE TABLE agent_messages (
<div className="bg-gray-50 rounded-xl p-5 mb-8">
<h2 className="font-semibold text-gray-900 mb-3">Inhaltsverzeichnis</h2>
<div className="grid grid-cols-2 md:grid-cols-4 gap-2">
{sections.map(section => (
{SECTIONS.map(section => (
<button
key={section.id}
onClick={() => {
@@ -716,7 +129,7 @@ CREATE TABLE agent_messages (
{/* Sections */}
<div className="space-y-4">
{sections.map(section => (
{SECTIONS.map(section => (
<div
key={section.id}
id={section.id}
@@ -749,7 +162,7 @@ CREATE TABLE agent_messages (
{/* Footer Links */}
<div className="mt-8 bg-teal-50 border border-teal-200 rounded-xl p-5">
<h3 className="font-semibold text-teal-900 mb-3">Weiterführende Ressourcen</h3>
<h3 className="font-semibold text-teal-900 mb-3">Weiterfuehrende Ressourcen</h3>
<div className="grid grid-cols-1 md:grid-cols-3 gap-3">
<Link
href="/ai/agents"

View File

@@ -1,396 +0,0 @@
'use client'
/**
* GPU Infrastructure Admin Page
*
* vast.ai GPU Management for LLM Processing
* Part of KI-Werkzeuge
*/
import { useEffect, useState, useCallback } from 'react'
import { PagePurpose } from '@/components/common/PagePurpose'
import { AIToolsSidebarResponsive } from '@/components/ai/AIToolsSidebar'
interface VastStatus {
instance_id: number | null
status: string
gpu_name: string | null
dph_total: number | null
endpoint_base_url: string | null
last_activity: string | null
auto_shutdown_in_minutes: number | null
total_runtime_hours: number | null
total_cost_usd: number | null
account_credit: number | null
account_total_spend: number | null
session_runtime_minutes: number | null
session_cost_usd: number | null
message: string | null
error?: string
}
export default function GPUInfrastructurePage() {
const [status, setStatus] = useState<VastStatus | null>(null)
const [loading, setLoading] = useState(true)
const [actionLoading, setActionLoading] = useState<string | null>(null)
const [error, setError] = useState<string | null>(null)
const [message, setMessage] = useState<string | null>(null)
const API_PROXY = '/api/admin/gpu'
const fetchStatus = useCallback(async () => {
setLoading(true)
setError(null)
try {
const response = await fetch(API_PROXY)
const data = await response.json()
if (!response.ok) {
throw new Error(data.error || `HTTP ${response.status}`)
}
setStatus(data)
} catch (err) {
setError(err instanceof Error ? err.message : 'Verbindungsfehler')
setStatus({
instance_id: null,
status: 'error',
gpu_name: null,
dph_total: null,
endpoint_base_url: null,
last_activity: null,
auto_shutdown_in_minutes: null,
total_runtime_hours: null,
total_cost_usd: null,
account_credit: null,
account_total_spend: null,
session_runtime_minutes: null,
session_cost_usd: null,
message: 'Verbindung fehlgeschlagen'
})
} finally {
setLoading(false)
}
}, [])
useEffect(() => {
fetchStatus()
}, [fetchStatus])
useEffect(() => {
const interval = setInterval(fetchStatus, 30000)
return () => clearInterval(interval)
}, [fetchStatus])
const powerOn = async () => {
setActionLoading('on')
setError(null)
setMessage(null)
try {
const response = await fetch(API_PROXY, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ action: 'on' }),
})
const data = await response.json()
if (!response.ok) {
throw new Error(data.error || data.detail || 'Aktion fehlgeschlagen')
}
setMessage('Start angefordert')
setTimeout(fetchStatus, 3000)
setTimeout(fetchStatus, 10000)
} catch (err) {
setError(err instanceof Error ? err.message : 'Fehler beim Starten')
fetchStatus()
} finally {
setActionLoading(null)
}
}
const powerOff = async () => {
setActionLoading('off')
setError(null)
setMessage(null)
try {
const response = await fetch(API_PROXY, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ action: 'off' }),
})
const data = await response.json()
if (!response.ok) {
throw new Error(data.error || data.detail || 'Aktion fehlgeschlagen')
}
setMessage('Stop angefordert')
setTimeout(fetchStatus, 3000)
setTimeout(fetchStatus, 10000)
} catch (err) {
setError(err instanceof Error ? err.message : 'Fehler beim Stoppen')
fetchStatus()
} finally {
setActionLoading(null)
}
}
const getStatusBadge = (s: string) => {
const baseClasses = 'px-3 py-1 rounded-full text-sm font-semibold uppercase'
switch (s) {
case 'running':
return `${baseClasses} bg-green-100 text-green-800`
case 'stopped':
case 'exited':
return `${baseClasses} bg-red-100 text-red-800`
case 'loading':
case 'scheduling':
case 'creating':
case 'starting...':
case 'stopping...':
return `${baseClasses} bg-yellow-100 text-yellow-800`
default:
return `${baseClasses} bg-slate-100 text-slate-600`
}
}
const getCreditColor = (credit: number | null) => {
if (credit === null) return 'text-slate-500'
if (credit < 5) return 'text-red-600'
if (credit < 15) return 'text-yellow-600'
return 'text-green-600'
}
return (
<div>
{/* Page Purpose */}
<PagePurpose
title="GPU Infrastruktur"
purpose="Verwalten Sie die vast.ai GPU-Instanzen fuer LLM-Verarbeitung und OCR. Starten/Stoppen Sie GPUs bei Bedarf und ueberwachen Sie Kosten in Echtzeit."
audience={['DevOps', 'Entwickler', 'System-Admins']}
architecture={{
services: ['vast.ai API', 'Ollama', 'VLLM'],
databases: ['PostgreSQL (Logs)'],
}}
relatedPages={[
{ name: 'LLM Vergleich', href: '/ai/llm-compare', description: 'KI-Provider testen' },
{ name: 'Test Quality (BQAS)', href: '/ai/test-quality', description: 'Golden Suite & Tests' },
{ name: 'Magic Help', href: '/ai/magic-help', description: 'TrOCR Testing' },
]}
collapsible={true}
defaultCollapsed={true}
/>
{/* KI-Werkzeuge Sidebar */}
<AIToolsSidebarResponsive currentTool="gpu" />
{/* Status Cards */}
<div className="bg-white rounded-xl border border-slate-200 p-6 mb-6">
<div className="grid grid-cols-2 md:grid-cols-3 lg:grid-cols-6 gap-6">
<div>
<div className="text-sm text-slate-500 mb-2">Status</div>
{loading ? (
<span className="px-3 py-1 rounded-full text-sm font-semibold bg-slate-100 text-slate-600">
Laden...
</span>
) : (
<span className={getStatusBadge(
actionLoading === 'on' ? 'starting...' :
actionLoading === 'off' ? 'stopping...' :
status?.status || 'unknown'
)}>
{actionLoading === 'on' ? 'starting...' :
actionLoading === 'off' ? 'stopping...' :
status?.status || 'unbekannt'}
</span>
)}
</div>
<div>
<div className="text-sm text-slate-500 mb-2">GPU</div>
<div className="font-semibold text-slate-900">
{status?.gpu_name || '-'}
</div>
</div>
<div>
<div className="text-sm text-slate-500 mb-2">Kosten/h</div>
<div className="font-semibold text-slate-900">
{status?.dph_total ? `$${status.dph_total.toFixed(3)}` : '-'}
</div>
</div>
<div>
<div className="text-sm text-slate-500 mb-2">Auto-Stop</div>
<div className="font-semibold text-slate-900">
{status && status.auto_shutdown_in_minutes !== null
? `${status.auto_shutdown_in_minutes} min`
: '-'}
</div>
</div>
<div>
<div className="text-sm text-slate-500 mb-2">Budget</div>
<div className={`font-bold text-lg ${getCreditColor(status?.account_credit ?? null)}`}>
{status && status.account_credit !== null
? `$${status.account_credit.toFixed(2)}`
: '-'}
</div>
</div>
<div>
<div className="text-sm text-slate-500 mb-2">Session</div>
<div className="font-semibold text-slate-900">
{status && status.session_runtime_minutes !== null && status.session_cost_usd !== null
? `${Math.round(status.session_runtime_minutes)} min / $${status.session_cost_usd.toFixed(3)}`
: '-'}
</div>
</div>
</div>
{/* Buttons */}
<div className="flex items-center gap-4 mt-6 pt-6 border-t border-slate-200">
<button
onClick={powerOn}
disabled={actionLoading !== null || status?.status === 'running'}
className="px-6 py-2 bg-orange-600 text-white rounded-lg font-medium hover:bg-orange-700 disabled:opacity-50 disabled:cursor-not-allowed transition-colors"
>
Starten
</button>
<button
onClick={powerOff}
disabled={actionLoading !== null || status?.status !== 'running'}
className="px-6 py-2 bg-red-600 text-white rounded-lg font-medium hover:bg-red-700 disabled:opacity-50 disabled:cursor-not-allowed transition-colors"
>
Stoppen
</button>
<button
onClick={fetchStatus}
disabled={loading}
className="px-4 py-2 border border-slate-300 text-slate-700 rounded-lg font-medium hover:bg-slate-50 disabled:opacity-50 transition-colors"
>
{loading ? 'Aktualisiere...' : 'Aktualisieren'}
</button>
{message && (
<span className="ml-4 text-sm text-green-600 font-medium">{message}</span>
)}
{error && (
<span className="ml-4 text-sm text-red-600 font-medium">{error}</span>
)}
</div>
</div>
{/* Extended Stats */}
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6 mb-6">
<div className="bg-white rounded-xl border border-slate-200 p-6">
<h3 className="font-semibold text-slate-900 mb-4">Kosten-Uebersicht</h3>
<div className="space-y-4">
<div className="flex justify-between items-center">
<span className="text-slate-600">Session Laufzeit</span>
<span className="font-semibold">
{status && status.session_runtime_minutes !== null
? `${Math.round(status.session_runtime_minutes)} Minuten`
: '-'}
</span>
</div>
<div className="flex justify-between items-center">
<span className="text-slate-600">Session Kosten</span>
<span className="font-semibold">
{status && status.session_cost_usd !== null
? `$${status.session_cost_usd.toFixed(4)}`
: '-'}
</span>
</div>
<div className="flex justify-between items-center pt-4 border-t border-slate-100">
<span className="text-slate-600">Gesamtlaufzeit</span>
<span className="font-semibold">
{status && status.total_runtime_hours !== null
? `${status.total_runtime_hours.toFixed(1)} Stunden`
: '-'}
</span>
</div>
<div className="flex justify-between items-center">
<span className="text-slate-600">Gesamtkosten</span>
<span className="font-semibold">
{status && status.total_cost_usd !== null
? `$${status.total_cost_usd.toFixed(2)}`
: '-'}
</span>
</div>
<div className="flex justify-between items-center">
<span className="text-slate-600">vast.ai Ausgaben</span>
<span className="font-semibold">
{status && status.account_total_spend !== null
? `$${status.account_total_spend.toFixed(2)}`
: '-'}
</span>
</div>
</div>
</div>
<div className="bg-white rounded-xl border border-slate-200 p-6">
<h3 className="font-semibold text-slate-900 mb-4">Instanz-Details</h3>
<div className="space-y-4">
<div className="flex justify-between items-center">
<span className="text-slate-600">Instanz ID</span>
<span className="font-mono text-sm">
{status?.instance_id || '-'}
</span>
</div>
<div className="flex justify-between items-center">
<span className="text-slate-600">GPU</span>
<span className="font-semibold">
{status?.gpu_name || '-'}
</span>
</div>
<div className="flex justify-between items-center">
<span className="text-slate-600">Stundensatz</span>
<span className="font-semibold">
{status?.dph_total ? `$${status.dph_total.toFixed(4)}/h` : '-'}
</span>
</div>
<div className="flex justify-between items-center">
<span className="text-slate-600">Letzte Aktivitaet</span>
<span className="text-sm">
{status?.last_activity
? new Date(status.last_activity).toLocaleString('de-DE')
: '-'}
</span>
</div>
{status?.endpoint_base_url && status.status === 'running' && (
<div className="pt-4 border-t border-slate-100">
<div className="text-slate-600 text-sm mb-1">Endpoint</div>
<code className="text-xs bg-slate-100 px-2 py-1 rounded block overflow-x-auto">
{status.endpoint_base_url}
</code>
</div>
)}
</div>
</div>
</div>
{/* Info */}
<div className="bg-violet-50 border border-violet-200 rounded-xl p-4">
<div className="flex gap-3">
<svg className="w-5 h-5 text-violet-600 flex-shrink-0 mt-0.5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z" />
</svg>
<div>
<h4 className="font-semibold text-violet-900">Auto-Shutdown</h4>
<p className="text-sm text-violet-800 mt-1">
Die GPU-Instanz wird automatisch gestoppt, wenn sie laengere Zeit inaktiv ist.
Der Status wird alle 30 Sekunden automatisch aktualisiert.
</p>
</div>
</div>
</div>
</div>
)
}

View File

@@ -1,503 +0,0 @@
'use client'
/**
* LLM Comparison Tool
*
* Vergleicht Antworten von verschiedenen LLM-Providern:
* - OpenAI/ChatGPT
* - Claude
* - Self-hosted + Tavily
* - Self-hosted + EduSearch
*/
import { useState, useEffect, useCallback } from 'react'
import { PagePurpose } from '@/components/common/PagePurpose'
import { AIToolsSidebarResponsive } from '@/components/ai/AIToolsSidebar'
interface LLMResponse {
provider: string
model: string
response: string
latency_ms: number
tokens_used?: number
search_results?: Array<{
title: string
url: string
content: string
score?: number
}>
error?: string
timestamp: string
}
interface ComparisonResult {
comparison_id: string
prompt: string
system_prompt?: string
responses: LLMResponse[]
created_at: string
}
const providerColors: Record<string, { bg: string; border: string; text: string }> = {
openai: { bg: 'bg-emerald-50', border: 'border-emerald-300', text: 'text-emerald-700' },
claude: { bg: 'bg-orange-50', border: 'border-orange-300', text: 'text-orange-700' },
selfhosted_tavily: { bg: 'bg-blue-50', border: 'border-blue-300', text: 'text-blue-700' },
selfhosted_edusearch: { bg: 'bg-purple-50', border: 'border-purple-300', text: 'text-purple-700' },
}
const providerLabels: Record<string, string> = {
openai: 'OpenAI GPT-4o-mini',
claude: 'Claude 3.5 Sonnet',
selfhosted_tavily: 'Self-hosted + Tavily',
selfhosted_edusearch: 'Self-hosted + EduSearch',
}
export default function LLMComparePage() {
// State
const [prompt, setPrompt] = useState('')
const [systemPrompt, setSystemPrompt] = useState('Du bist ein hilfreicher Assistent fuer Lehrkraefte in Deutschland.')
// Provider toggles
const [enableOpenAI, setEnableOpenAI] = useState(true)
const [enableClaude, setEnableClaude] = useState(true)
const [enableTavily, setEnableTavily] = useState(true)
const [enableEduSearch, setEnableEduSearch] = useState(true)
// Parameters
const [model, setModel] = useState('llama3.2:3b')
const [temperature, setTemperature] = useState(0.7)
const [maxTokens, setMaxTokens] = useState(2048)
// Results
const [isLoading, setIsLoading] = useState(false)
const [result, setResult] = useState<ComparisonResult | null>(null)
const [history, setHistory] = useState<ComparisonResult[]>([])
const [error, setError] = useState<string | null>(null)
// UI State
const [showSettings, setShowSettings] = useState(false)
const [showHistory, setShowHistory] = useState(false)
// API Base URL
const API_URL = process.env.NEXT_PUBLIC_LLM_GATEWAY_URL || 'http://localhost:8082'
const API_KEY = process.env.NEXT_PUBLIC_LLM_API_KEY || 'dev-key'
// Load history
const loadHistory = useCallback(async () => {
try {
const response = await fetch(`${API_URL}/v1/comparison/history?limit=20`, {
headers: { Authorization: `Bearer ${API_KEY}` },
})
if (response.ok) {
const data = await response.json()
setHistory(data.comparisons || [])
}
} catch (e) {
console.error('Failed to load history:', e)
}
}, [API_URL, API_KEY])
useEffect(() => {
loadHistory()
}, [loadHistory])
const runComparison = async () => {
if (!prompt.trim()) {
setError('Bitte geben Sie einen Prompt ein')
return
}
setIsLoading(true)
setError(null)
setResult(null)
try {
const response = await fetch(`${API_URL}/v1/comparison/run`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${API_KEY}`,
},
body: JSON.stringify({
prompt,
system_prompt: systemPrompt || undefined,
enable_openai: enableOpenAI,
enable_claude: enableClaude,
enable_selfhosted_tavily: enableTavily,
enable_selfhosted_edusearch: enableEduSearch,
selfhosted_model: model,
temperature,
max_tokens: maxTokens,
}),
})
if (!response.ok) {
throw new Error(`API Error: ${response.status}`)
}
const data = await response.json()
setResult(data)
loadHistory()
} catch (e) {
setError(e instanceof Error ? e.message : 'Unbekannter Fehler')
} finally {
setIsLoading(false)
}
}
const ResponseCard = ({ response }: { response: LLMResponse }) => {
const colors = providerColors[response.provider] || {
bg: 'bg-slate-50',
border: 'border-slate-300',
text: 'text-slate-700',
}
const label = providerLabels[response.provider] || response.provider
return (
<div className={`rounded-xl border-2 ${colors.border} ${colors.bg} overflow-hidden`}>
<div className={`px-4 py-3 border-b ${colors.border} flex items-center justify-between`}>
<div>
<h3 className={`font-semibold ${colors.text}`}>{label}</h3>
<p className="text-xs text-slate-500">{response.model}</p>
</div>
<div className="text-right text-xs text-slate-500">
<div>{response.latency_ms}ms</div>
{response.tokens_used && <div>{response.tokens_used} tokens</div>}
</div>
</div>
<div className="p-4">
{response.error ? (
<div className="text-red-600 text-sm">
<strong>Fehler:</strong> {response.error}
</div>
) : (
<pre className="whitespace-pre-wrap text-sm text-slate-700 font-sans">
{response.response}
</pre>
)}
</div>
{response.search_results && response.search_results.length > 0 && (
<div className="px-4 pb-4">
<details className="text-xs">
<summary className="cursor-pointer text-slate-500 hover:text-slate-700">
{response.search_results.length} Suchergebnisse anzeigen
</summary>
<ul className="mt-2 space-y-2">
{response.search_results.map((sr, idx) => (
<li key={idx} className="bg-white rounded p-2 border border-slate-200">
<a
href={sr.url}
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline font-medium"
>
{sr.title || 'Untitled'}
</a>
<p className="text-slate-500 truncate">{sr.content}</p>
</li>
))}
</ul>
</details>
</div>
)}
</div>
)
}
return (
<div>
{/* Page Purpose */}
<PagePurpose
title="LLM Vergleich"
purpose="Vergleichen Sie Antworten verschiedener KI-Provider (OpenAI, Claude, Self-hosted) fuer Qualitaetssicherung. Optimieren Sie Parameter und System Prompts fuer beste Ergebnisse. Standalone-Werkzeug ohne direkten Datenfluss zur KI-Pipeline."
audience={['Entwickler', 'Data Scientists', 'QA']}
architecture={{
services: ['llm-gateway (Python)', 'Ollama', 'OpenAI API', 'Claude API'],
databases: ['PostgreSQL (History)', 'Qdrant (RAG)'],
}}
relatedPages={[
{ name: 'Test Quality (BQAS)', href: '/ai/test-quality', description: 'Golden Suite & Synthetic Tests' },
{ name: 'GPU Infrastruktur', href: '/ai/gpu', description: 'GPU-Ressourcen verwalten' },
{ name: 'Agent Management', href: '/ai/agents', description: 'Multi-Agent System' },
]}
collapsible={true}
defaultCollapsed={true}
/>
{/* KI-Werkzeuge Sidebar */}
<AIToolsSidebarResponsive currentTool="llm-compare" />
<div className="grid grid-cols-1 lg:grid-cols-3 gap-6">
{/* Left Column: Input & Settings */}
<div className="lg:col-span-1 space-y-4">
{/* Prompt Input */}
<div className="bg-white rounded-xl border border-slate-200 p-4">
<h2 className="font-semibold text-slate-900 mb-3">Prompt</h2>
{/* System Prompt */}
<div className="mb-3">
<label className="block text-sm text-slate-600 mb-1">System Prompt</label>
<textarea
value={systemPrompt}
onChange={(e) => setSystemPrompt(e.target.value)}
rows={3}
className="w-full px-3 py-2 border border-slate-300 rounded-lg text-sm resize-none"
placeholder="System Prompt (optional)"
/>
</div>
{/* User Prompt */}
<div className="mb-3">
<label className="block text-sm text-slate-600 mb-1">User Prompt</label>
<textarea
value={prompt}
onChange={(e) => setPrompt(e.target.value)}
rows={4}
className="w-full px-3 py-2 border border-slate-300 rounded-lg text-sm resize-none"
placeholder="z.B.: Erstelle ein Arbeitsblatt zum Thema Bruchrechnung fuer Klasse 6..."
/>
</div>
{/* Provider Toggles */}
<div className="mb-4">
<label className="block text-sm text-slate-600 mb-2">Provider</label>
<div className="grid grid-cols-2 gap-2">
<label className="flex items-center gap-2 text-sm">
<input
type="checkbox"
checked={enableOpenAI}
onChange={(e) => setEnableOpenAI(e.target.checked)}
className="rounded"
/>
OpenAI
</label>
<label className="flex items-center gap-2 text-sm">
<input
type="checkbox"
checked={enableClaude}
onChange={(e) => setEnableClaude(e.target.checked)}
className="rounded"
/>
Claude
</label>
<label className="flex items-center gap-2 text-sm">
<input
type="checkbox"
checked={enableTavily}
onChange={(e) => setEnableTavily(e.target.checked)}
className="rounded"
/>
Self + Tavily
</label>
<label className="flex items-center gap-2 text-sm">
<input
type="checkbox"
checked={enableEduSearch}
onChange={(e) => setEnableEduSearch(e.target.checked)}
className="rounded"
/>
Self + EduSearch
</label>
</div>
</div>
{/* Run Button */}
<button
onClick={runComparison}
disabled={isLoading || !prompt.trim()}
className="w-full py-3 bg-teal-600 text-white rounded-lg font-medium hover:bg-teal-700 disabled:opacity-50 disabled:cursor-not-allowed"
>
{isLoading ? (
<span className="flex items-center justify-center gap-2">
<svg className="animate-spin w-5 h-5" fill="none" viewBox="0 0 24 24">
<circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4" />
<path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4z" />
</svg>
Vergleiche...
</span>
) : (
'Vergleich starten'
)}
</button>
{error && (
<div className="mt-3 p-3 bg-red-50 border border-red-200 rounded-lg text-red-700 text-sm">
{error}
</div>
)}
</div>
{/* Settings Panel */}
<div className="bg-white rounded-xl border border-slate-200 overflow-hidden">
<button
onClick={() => setShowSettings(!showSettings)}
className="w-full px-4 py-3 flex items-center justify-between hover:bg-slate-50"
>
<span className="font-semibold text-slate-900">Parameter</span>
<svg
className={`w-5 h-5 transition-transform ${showSettings ? 'rotate-180' : ''}`}
fill="none"
stroke="currentColor"
viewBox="0 0 24 24"
>
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 9l-7 7-7-7" />
</svg>
</button>
{showSettings && (
<div className="p-4 border-t border-slate-200 space-y-4">
<div>
<label className="block text-sm text-slate-600 mb-1">Self-hosted Modell</label>
<select
value={model}
onChange={(e) => setModel(e.target.value)}
className="w-full px-3 py-2 border border-slate-300 rounded-lg text-sm"
>
<option value="llama3.2:3b">Llama 3.2 3B</option>
<option value="llama3.1:8b">Llama 3.1 8B</option>
<option value="mistral:7b">Mistral 7B</option>
<option value="qwen2.5:7b">Qwen 2.5 7B</option>
</select>
</div>
<div>
<label className="block text-sm text-slate-600 mb-1">
Temperature: {temperature.toFixed(2)}
</label>
<input
type="range"
min="0"
max="2"
step="0.1"
value={temperature}
onChange={(e) => setTemperature(parseFloat(e.target.value))}
className="w-full"
/>
</div>
<div>
<label className="block text-sm text-slate-600 mb-1">Max Tokens: {maxTokens}</label>
<input
type="range"
min="256"
max="4096"
step="256"
value={maxTokens}
onChange={(e) => setMaxTokens(parseInt(e.target.value))}
className="w-full"
/>
</div>
</div>
)}
</div>
{/* History Panel */}
<div className="bg-white rounded-xl border border-slate-200 overflow-hidden">
<button
onClick={() => setShowHistory(!showHistory)}
className="w-full px-4 py-3 flex items-center justify-between hover:bg-slate-50"
>
<span className="font-semibold text-slate-900">Verlauf ({history.length})</span>
<svg
className={`w-5 h-5 transition-transform ${showHistory ? 'rotate-180' : ''}`}
fill="none"
stroke="currentColor"
viewBox="0 0 24 24"
>
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 9l-7 7-7-7" />
</svg>
</button>
{showHistory && history.length > 0 && (
<div className="border-t border-slate-200 max-h-64 overflow-y-auto">
{history.map((h) => (
<button
key={h.comparison_id}
onClick={() => {
setResult(h)
setPrompt(h.prompt)
if (h.system_prompt) setSystemPrompt(h.system_prompt)
}}
className="w-full px-4 py-2 text-left hover:bg-slate-50 border-b border-slate-100 last:border-0"
>
<div className="text-sm text-slate-700 truncate">{h.prompt}</div>
<div className="text-xs text-slate-400">
{new Date(h.created_at).toLocaleString('de-DE')}
</div>
</button>
))}
</div>
)}
</div>
</div>
{/* Right Column: Results */}
<div className="lg:col-span-2">
{result ? (
<div className="space-y-4">
<div className="bg-white rounded-xl border border-slate-200 p-4">
<div className="flex items-center justify-between">
<div>
<h2 className="font-semibold text-slate-900">Ergebnisse</h2>
<p className="text-sm text-slate-500">ID: {result.comparison_id}</p>
</div>
<div className="text-sm text-slate-500">
{new Date(result.created_at).toLocaleString('de-DE')}
</div>
</div>
<div className="mt-2 p-3 bg-slate-50 rounded-lg">
<p className="text-sm text-slate-700">{result.prompt}</p>
</div>
</div>
<div className="grid grid-cols-1 xl:grid-cols-2 gap-4">
{result.responses.map((response, idx) => (
<ResponseCard key={`${response.provider}-${idx}`} response={response} />
))}
</div>
</div>
) : (
<div className="bg-white rounded-xl border border-slate-200 p-12 text-center">
<svg
className="w-16 h-16 mx-auto text-slate-300 mb-4"
fill="none"
stroke="currentColor"
viewBox="0 0 24 24"
>
<path
strokeLinecap="round"
strokeLinejoin="round"
strokeWidth={1.5}
d="M9 3v2m6-2v2M9 19v2m6-2v2M5 9H3m2 6H3m18-6h-2m2 6h-2M7 19h10a2 2 0 002-2V7a2 2 0 00-2-2H7a2 2 0 00-2 2v10a2 2 0 002 2zM9 9h6v6H9V9z"
/>
</svg>
<h3 className="text-lg font-medium text-slate-700 mb-2">LLM-Vergleich starten</h3>
<p className="text-slate-500 max-w-md mx-auto">
Geben Sie einen Prompt ein und klicken Sie auf &quot;Vergleich starten&quot;, um
die Antworten verschiedener LLM-Provider zu vergleichen.
</p>
</div>
)}
</div>
</div>
{/* Info Box */}
<div className="mt-8 bg-teal-50 border border-teal-200 rounded-xl p-6">
<div className="flex items-start gap-4">
<svg className="w-6 h-6 text-teal-600 flex-shrink-0 mt-0.5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z" />
</svg>
<div>
<h3 className="font-semibold text-teal-900">Qualitaetssicherung</h3>
<p className="text-sm text-teal-800 mt-1">
Dieses Tool dient zur Qualitaetssicherung der KI-Antworten. Vergleichen Sie verschiedene Provider,
um die optimalen Parameter und System Prompts zu finden. Die Ergebnisse werden fuer Audits gespeichert.
</p>
</div>
</div>
</div>
</div>
)
}

View File

@@ -0,0 +1,64 @@
'use client'
interface GlobalDragOverlayProps {
active: boolean
}
export function GlobalDragOverlay({ active }: GlobalDragOverlayProps) {
if (!active) return null
return (
<div className="fixed inset-0 z-50 bg-purple-900/80 backdrop-blur-sm flex items-center justify-center pointer-events-none">
<div className="text-center">
<div className="text-7xl mb-4 animate-bounce">📄</div>
<div className="text-2xl font-bold text-white">Bild hier ablegen</div>
<div className="text-purple-200 mt-2">PNG, JPG - Handgeschriebener Text</div>
</div>
</div>
)
}
interface KeyboardShortcutsModalProps {
open: boolean
onClose: () => void
}
export function KeyboardShortcutsModal({ open, onClose }: KeyboardShortcutsModalProps) {
if (!open) return null
return (
<div className="fixed inset-0 z-40 bg-black/50 flex items-center justify-center" onClick={onClose}>
<div className="bg-white rounded-xl shadow-2xl p-6 max-w-md" onClick={e => e.stopPropagation()}>
<h3 className="text-lg font-bold text-slate-900 mb-4">Tastenkuerzel</h3>
<div className="space-y-2 text-sm">
<div className="flex justify-between">
<span className="text-slate-600">Bild einfuegen</span>
<kbd className="px-2 py-1 bg-slate-100 rounded text-xs font-mono">Ctrl+V</kbd>
</div>
<div className="flex justify-between">
<span className="text-slate-600">OCR starten</span>
<kbd className="px-2 py-1 bg-slate-100 rounded text-xs font-mono">Ctrl+Enter</kbd>
</div>
<div className="flex justify-between">
<span className="text-slate-600">Tab wechseln</span>
<kbd className="px-2 py-1 bg-slate-100 rounded text-xs font-mono">Alt+1-6</kbd>
</div>
<div className="flex justify-between">
<span className="text-slate-600">Bild entfernen</span>
<kbd className="px-2 py-1 bg-slate-100 rounded text-xs font-mono">Escape</kbd>
</div>
<div className="flex justify-between">
<span className="text-slate-600">Shortcuts anzeigen</span>
<kbd className="px-2 py-1 bg-slate-100 rounded text-xs font-mono">?</kbd>
</div>
</div>
<button
onClick={onClose}
className="w-full mt-4 px-4 py-2 bg-purple-600 hover:bg-purple-700 text-white rounded-lg text-sm"
>
Schliessen
</button>
</div>
</div>
)
}

View File

@@ -0,0 +1,185 @@
'use client'
export function TabArchitecture() {
return (
<div className="space-y-6">
{/* Architecture Diagram */}
<ArchitectureDiagram />
{/* Components */}
<div className="grid grid-cols-1 md:grid-cols-2 gap-6">
<ComponentCard
icon="🔍"
title="TrOCR Service"
description="Das TrOCR-Modell von Microsoft ist speziell fuer Handschrifterkennung trainiert. Es verwendet eine Vision-Transformer (ViT) Architektur fuer Bildverarbeitung und einen Text-Decoder fuer die Textgenerierung."
specs={[
{ label: 'Modell', value: 'microsoft/trocr-base-handwritten' },
{ label: 'Groesse', value: '~350 MB' },
{ label: 'Lizenz', value: 'MIT' },
{ label: 'Framework', value: 'PyTorch / Transformers' },
]}
/>
<ComponentCard
icon="🎯"
title="LoRA Fine-Tuning"
description="LoRA fuegt kleine, trainierbare Matrizen zu bestimmten Schichten hinzu, ohne das Basismodell zu veraendern. Dies ermoeglicht effizientes Fine-Tuning mit minimaler Speichernutzung."
specs={[
{ label: 'Methode', value: 'Low-Rank Adaptation' },
{ label: 'Adapter-Groesse', value: '~10 MB' },
{ label: 'Trainingszeit', value: '5-15 Min (CPU)' },
{ label: 'Min. Beispiele', value: '10' },
]}
/>
<ComponentCard
icon="🔒"
title="Pseudonymisierung"
description="Schuelernamen werden durch anonyme Tokens ersetzt, bevor Daten die lokale Umgebung verlassen. Das Mapping wird ausschliesslich lokal gespeichert."
specs={[
{ label: 'Methode', value: 'QR-Code Tokens' },
{ label: 'Token-Format', value: 'UUID v4' },
{ label: 'Mapping', value: 'Lokal beim Lehrer' },
{ label: 'Cloud-Daten', value: 'Nur Tokens + Text' },
]}
/>
<ComponentCard
icon="☁️"
title="Cloud LLM"
description="Die KI-Korrektur erfolgt auf deutschen Servern mit strikter Mandantentrennung. Es werden keine Klarnamen oder identifizierenden Informationen uebertragen."
specs={[
{ label: 'Provider', value: 'SysEleven (DE)' },
{ label: 'Standort', value: 'Deutschland' },
{ label: 'Isolation', value: 'Namespace pro Schule' },
{ label: 'Datenverarbeitung', value: 'Nur pseudonymisiert' },
]}
/>
</div>
{/* Data Flow */}
<DataFlowCard />
</div>
)
}
/* ------------------------------------------------------------------ */
function ArchitectureDiagram() {
return (
<div className="bg-white rounded-xl shadow-sm border p-6">
<h2 className="text-lg font-semibold text-slate-900 mb-6">Systemarchitektur</h2>
<div className="bg-slate-900 rounded-lg p-6 font-mono text-xs overflow-x-auto">
<pre className="text-slate-300">
{`┌─────────────────────────────────────────────────────────────────────────────┐
│ MAGIC HELP ARCHITEKTUR │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ┌───────────────┐ ┌──────────────────┐ ┌───────────────┐ │
│ │ FRONTEND │ │ BACKEND │ │ STORAGE │ │
│ │ (Next.js) │ │ (FastAPI) │ │ │ │
│ │ │ │ │ │ │ │
│ │ ┌─────────┐ │ REST │ ┌────────────┐ │ │ ┌─────────┐ │ │
│ │ │ Admin │──┼─────────┼──│ TrOCR │ │ │ │ Models │ │ │
│ │ │ Panel │ │ │ │ Service │──┼─────────┼──│ (ONNX) │ │ │
│ │ └─────────┘ │ │ └────────────┘ │ │ └─────────┘ │ │
│ │ │ │ │ │ │ │ │
│ │ ┌─────────┐ │ WebSocket│ ┌────────────┐ │ │ ┌─────────┐ │ │
│ │ │ Lehrer │──┼─────────┼──│ Klausur │ │ │ │ LoRA │ │ │
│ │ │ Portal │ │ │ │ Processor │──┼─────────┼──│ Adapter │ │ │
│ │ └─────────┘ │ │ └────────────┘ │ │ └─────────┘ │ │
│ │ │ │ │ │ │ │ │
│ └───────────────┘ │ ┌────────────┐ │ │ ┌─────────┐ │ │
│ │ │ Pseudo- │ │ │ │Training │ │ │
│ │ │ nymizer │──┼─────────┼──│ Data │ │ │
│ │ └────────────┘ │ │ └─────────┘ │ │
│ │ │ │ │ │
│ └──────────────────┘ └───────────────┘ │
│ │ │
│ │ (nur pseudonymisiert) │
│ ▼ │
│ ┌──────────────────┐ │
│ │ CLOUD LLM │ │
│ │ (SysEleven) │ │
│ │ Namespace- │ │
│ │ Isolation │ │
│ └──────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────────────────┘`}
</pre>
</div>
</div>
)
}
interface ComponentCardProps {
icon: string
title: string
description: string
specs: Array<{ label: string; value: string }>
}
function ComponentCard({ icon, title, description, specs }: ComponentCardProps) {
return (
<div className="bg-white rounded-xl shadow-sm border p-6">
<h3 className="text-lg font-semibold text-slate-900 mb-4 flex items-center gap-2">
<span>{icon}</span> {title}
</h3>
<div className="space-y-3 text-sm">
{specs.map((spec) => (
<div key={spec.label} className="flex justify-between">
<span className="text-slate-500">{spec.label}</span>
<span className="text-slate-900">{spec.value}</span>
</div>
))}
</div>
<p className="text-slate-500 text-sm mt-4">{description}</p>
</div>
)
}
const DATA_FLOW_STEPS = [
{
num: 1,
color: 'bg-blue-100 text-blue-600',
title: 'Lokale Header-Extraktion',
desc: 'TrOCR erkennt Schuelernamen, Klasse und Fach direkt im Browser/PWA (offline-faehig)',
},
{
num: 2,
color: 'bg-purple-100 text-purple-600',
title: 'Pseudonymisierung',
desc: 'Namen werden durch QR-Code Tokens ersetzt, Mapping bleibt lokal',
},
{
num: 3,
color: 'bg-green-100 text-green-600',
title: 'Cloud-Korrektur',
desc: 'Nur pseudonymisierte Dokument-Tokens werden an die KI gesendet',
},
{
num: 4,
color: 'bg-yellow-100 text-yellow-600',
title: 'Re-Identifikation',
desc: 'Ergebnisse werden lokal mit dem Mapping wieder den echten Namen zugeordnet',
},
]
function DataFlowCard() {
return (
<div className="bg-white rounded-xl shadow-sm border p-6">
<h2 className="text-lg font-semibold text-slate-900 mb-4">Datenfluss</h2>
<div className="space-y-4">
{DATA_FLOW_STEPS.map((step) => (
<div key={step.num} className="flex items-start gap-4 bg-slate-50 rounded-lg p-4">
<div className={`w-8 h-8 rounded-full ${step.color} flex items-center justify-center font-bold`}>
{step.num}
</div>
<div>
<div className="font-medium text-slate-900">{step.title}</div>
<div className="text-sm text-slate-500">{step.desc}</div>
</div>
</div>
))}
</div>
</div>
)
}

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'use client'
import { BatchUploader } from '@/components/ai/BatchUploader'
import { API_BASE } from '../types'
export function TabBatch() {
return (
<div className="space-y-6">
{/* Batch OCR Processing */}
<div className="bg-white rounded-xl shadow-sm border p-6">
<h2 className="text-lg font-semibold text-slate-900 mb-2">Batch-Verarbeitung</h2>
<p className="text-sm text-slate-500 mb-6">
Verarbeite mehrere Bilder gleichzeitig mit Echtzeit-Fortschrittsanzeige.
Die Ergebnisse werden per Server-Sent Events gestreamt.
</p>
<BatchUploader
apiBase={API_BASE}
maxFiles={20}
autoProcess={false}
onComplete={(results) => {
console.log('Batch complete:', results)
}}
/>
</div>
{/* Batch Processing Info */}
<div className="grid grid-cols-1 md:grid-cols-3 gap-6">
<div className="bg-gradient-to-br from-blue-50 to-blue-100 border border-blue-200 rounded-xl p-6">
<div className="text-3xl mb-2">🚀</div>
<h3 className="text-lg font-semibold text-slate-900 mb-2">Parallele Verarbeitung</h3>
<p className="text-sm text-slate-600">
Mehrere Bilder werden parallel verarbeitet fuer maximale Geschwindigkeit.
</p>
</div>
<div className="bg-gradient-to-br from-green-50 to-green-100 border border-green-200 rounded-xl p-6">
<div className="text-3xl mb-2">💾</div>
<h3 className="text-lg font-semibold text-slate-900 mb-2">Smart Caching</h3>
<p className="text-sm text-slate-600">
Identische Bilder werden automatisch aus dem Cache geladen (unter 50ms).
</p>
</div>
<div className="bg-gradient-to-br from-purple-50 to-purple-100 border border-purple-200 rounded-xl p-6">
<div className="text-3xl mb-2">📊</div>
<h3 className="text-lg font-semibold text-slate-900 mb-2">Live-Fortschritt</h3>
<p className="text-sm text-slate-600">
Echtzeit-Updates via Server-Sent Events zeigen den Verarbeitungsfortschritt.
</p>
</div>
</div>
</div>
)
}

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'use client'
import { SkeletonText } from '@/components/common/SkeletonText'
import type { TrOCRStatus } from '../types'
interface TabOverviewProps {
status: TrOCRStatus | null
loading: boolean
onRefresh: () => void
}
export function TabOverview({ status, loading, onRefresh }: TabOverviewProps) {
return (
<div className="space-y-6">
{/* Status Card */}
<div className="bg-white rounded-xl shadow-sm border p-6">
<div className="flex items-center justify-between mb-4">
<h2 className="text-lg font-semibold text-slate-900">Systemstatus</h2>
<button
onClick={onRefresh}
className="px-3 py-1 bg-purple-600 hover:bg-purple-700 text-white rounded text-sm transition-colors"
>
Aktualisieren
</button>
</div>
{loading ? (
<div className="grid grid-cols-2 md:grid-cols-4 gap-4">
{[1, 2, 3, 4].map((i) => (
<div key={i} className="bg-slate-50 rounded-lg p-4">
<SkeletonText lines={1} className="mb-2" />
<div className="h-3 w-16 bg-slate-200 rounded animate-pulse" />
</div>
))}
</div>
) : status?.status === 'available' ? (
<div className="grid grid-cols-2 md:grid-cols-4 gap-4">
<div className="bg-slate-50 rounded-lg p-4">
<div className="text-2xl font-bold text-slate-900">{status.model_name || 'trocr-base'}</div>
<div className="text-xs text-slate-500">Modell</div>
</div>
<div className="bg-slate-50 rounded-lg p-4">
<div className="text-2xl font-bold text-slate-900">{status.device || 'CPU'}</div>
<div className="text-xs text-slate-500">Geraet</div>
</div>
<div className="bg-slate-50 rounded-lg p-4">
<div className="text-2xl font-bold text-slate-900">{status.training_examples_count || 0}</div>
<div className="text-xs text-slate-500">Trainingsbeispiele</div>
</div>
<div className="bg-slate-50 rounded-lg p-4">
<div className="text-2xl font-bold text-slate-900">{status.has_lora_adapter ? 'Aktiv' : 'Keiner'}</div>
<div className="text-xs text-slate-500">LoRA Adapter</div>
</div>
</div>
) : status?.status === 'not_installed' ? (
<div className="text-slate-600">
<p className="mb-2">TrOCR ist nicht installiert. Fuehre aus:</p>
<code className="bg-slate-100 px-3 py-2 rounded text-sm block font-mono">{status.install_command}</code>
</div>
) : (
<div className="text-red-600">{status?.error || 'Unbekannter Fehler'}</div>
)}
</div>
{/* Quick Overview Cards */}
<div className="grid grid-cols-1 md:grid-cols-3 gap-6">
<div className="bg-gradient-to-br from-purple-50 to-purple-100 border border-purple-200 rounded-xl p-6">
<div className="text-3xl mb-2">🎯</div>
<h3 className="text-lg font-semibold text-slate-900 mb-2">Handschrifterkennung</h3>
<p className="text-sm text-slate-600">
TrOCR erkennt automatisch handgeschriebenen Text in Klausuren.
Das Modell wurde speziell fuer deutsche Handschriften optimiert.
</p>
</div>
<div className="bg-gradient-to-br from-green-50 to-green-100 border border-green-200 rounded-xl p-6">
<div className="text-3xl mb-2">🔒</div>
<h3 className="text-lg font-semibold text-slate-900 mb-2">Privacy by Design</h3>
<p className="text-sm text-slate-600">
Alle Daten werden lokal verarbeitet. Schuelernamen werden durch
QR-Codes pseudonymisiert - DSGVO-konform.
</p>
</div>
<div className="bg-gradient-to-br from-blue-50 to-blue-100 border border-blue-200 rounded-xl p-6">
<div className="text-3xl mb-2">📈</div>
<h3 className="text-lg font-semibold text-slate-900 mb-2">Kontinuierliches Lernen</h3>
<p className="text-sm text-slate-600">
Mit LoRA Fine-Tuning passt sich das Modell an individuelle
Handschriften an - ohne das Basismodell zu veraendern.
</p>
</div>
</div>
{/* Workflow Overview */}
<div className="bg-white rounded-xl shadow-sm border p-6">
<h2 className="text-lg font-semibold text-slate-900 mb-4">Magic Onboarding Workflow</h2>
<div className="flex flex-wrap items-center gap-4 text-sm">
{WORKFLOW_STEPS.map((step, i) => (
<WorkflowStep key={step.title} step={step} showArrow={i < WORKFLOW_STEPS.length - 1} />
))}
</div>
</div>
</div>
)
}
const WORKFLOW_STEPS = [
{ icon: '📄', title: '1. Upload', desc: '25 Klausuren hochladen' },
{ icon: '🔍', title: '2. Analyse', desc: 'Lokale OCR in 5-10 Sek' },
{ icon: '✅', title: '3. Bestaetigung', desc: 'Klasse, Schueler, Fach' },
{ icon: '🤖', title: '4. KI-Korrektur', desc: 'Cloud mit Pseudonymisierung' },
{ icon: '📊', title: '5. Integration', desc: 'Notenbuch, Zeugnisse' },
]
function WorkflowStep({ step, showArrow }: { step: typeof WORKFLOW_STEPS[number]; showArrow: boolean }) {
return (
<>
<div className="flex items-center gap-2 bg-slate-50 rounded-lg px-4 py-3">
<span className="text-2xl">{step.icon}</span>
<div>
<div className="font-medium text-slate-900">{step.title}</div>
<div className="text-slate-500">{step.desc}</div>
</div>
</div>
{showArrow && <div className="text-slate-400">&rarr;</div>}
</>
)
}

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'use client'
import type { MagicSettings } from '../types'
import { DEFAULT_SETTINGS } from '../types'
interface TabSettingsProps {
settings: MagicSettings
settingsSaved: boolean
onUpdateSettings: (settings: MagicSettings) => void
onSave: () => void
}
export function TabSettings({ settings, settingsSaved, onUpdateSettings, onSave }: TabSettingsProps) {
const update = (partial: Partial<MagicSettings>) => {
onUpdateSettings({ ...settings, ...partial })
}
return (
<div className="space-y-6">
{/* OCR Settings */}
<div className="bg-white rounded-xl shadow-sm border p-6">
<h2 className="text-lg font-semibold text-slate-900 mb-4">OCR Einstellungen</h2>
<div className="grid grid-cols-1 md:grid-cols-2 gap-6">
<CheckboxSetting
label="Automatische Zeilenerkennung"
description="Erkennt und verarbeitet einzelne Zeilen separat"
checked={settings.autoDetectLines}
onChange={(v) => update({ autoDetectLines: v })}
/>
<CheckboxSetting
label="Live-Vorschau"
description="OCR startet automatisch nach Bild-Upload"
checked={settings.livePreview}
onChange={(v) => update({ livePreview: v })}
/>
<CheckboxSetting
label="Sound-Feedback"
description="Akustisches Feedback bei erfolgreicher Erkennung"
checked={settings.soundFeedback}
onChange={(v) => update({ soundFeedback: v })}
/>
<div>
<label className="block text-sm text-slate-700 mb-2">Konfidenz-Schwellwert</label>
<input
type="range"
min="0"
max="1"
step="0.1"
value={settings.confidenceThreshold}
onChange={(e) => update({ confidenceThreshold: parseFloat(e.target.value) })}
className="w-full"
/>
<div className="flex justify-between text-xs text-slate-400 mt-1">
<span>0%</span>
<span className="text-slate-900">{(settings.confidenceThreshold * 100).toFixed(0)}%</span>
<span>100%</span>
</div>
</div>
<div>
<label className="block text-sm text-slate-700 mb-2">Max. Bildgroesse (px)</label>
<input
type="number"
value={settings.maxImageSize}
onChange={(e) => update({ maxImageSize: parseInt(e.target.value) })}
className="w-full bg-slate-50 border border-slate-300 rounded-lg px-3 py-2 text-slate-900"
/>
<div className="text-xs text-slate-400 mt-1">Groessere Bilder werden skaliert</div>
</div>
<CheckboxSetting
label="Ergebnis-Cache aktivieren"
description="Speichert OCR-Ergebnisse fuer identische Bilder"
checked={settings.enableCache}
onChange={(v) => update({ enableCache: v })}
/>
</div>
</div>
{/* Training Settings */}
<div className="bg-white rounded-xl shadow-sm border p-6">
<h2 className="text-lg font-semibold text-slate-900 mb-4">Training Einstellungen</h2>
<div className="grid grid-cols-1 md:grid-cols-2 gap-6">
<div>
<label className="block text-sm text-slate-700 mb-2">LoRA Rank</label>
<select
value={settings.loraRank}
onChange={(e) => update({ loraRank: parseInt(e.target.value) })}
className="w-full bg-slate-50 border border-slate-300 rounded-lg px-3 py-2 text-slate-900"
>
<option value="4">4 (Schnell, weniger Kapazitaet)</option>
<option value="8">8 (Ausgewogen)</option>
<option value="16">16 (Mehr Kapazitaet)</option>
<option value="32">32 (Maximum)</option>
</select>
</div>
<div>
<label className="block text-sm text-slate-700 mb-2">LoRA Alpha</label>
<input
type="number"
value={settings.loraAlpha}
onChange={(e) => update({ loraAlpha: parseInt(e.target.value) })}
className="w-full bg-slate-50 border border-slate-300 rounded-lg px-3 py-2 text-slate-900"
/>
<div className="text-xs text-slate-400 mt-1">Empfohlen: 4 x LoRA Rank</div>
</div>
<div>
<label className="block text-sm text-slate-700 mb-2">Epochen</label>
<input
type="number"
min="1"
max="10"
value={settings.epochs}
onChange={(e) => update({ epochs: parseInt(e.target.value) })}
className="w-full bg-slate-50 border border-slate-300 rounded-lg px-3 py-2 text-slate-900"
/>
</div>
<div>
<label className="block text-sm text-slate-700 mb-2">Batch Size</label>
<select
value={settings.batchSize}
onChange={(e) => update({ batchSize: parseInt(e.target.value) })}
className="w-full bg-slate-50 border border-slate-300 rounded-lg px-3 py-2 text-slate-900"
>
<option value="1">1 (Wenig RAM)</option>
<option value="2">2</option>
<option value="4">4 (Standard)</option>
<option value="8">8 (Viel RAM)</option>
</select>
</div>
<div>
<label className="block text-sm text-slate-700 mb-2">Learning Rate</label>
<select
value={settings.learningRate}
onChange={(e) => update({ learningRate: parseFloat(e.target.value) })}
className="w-full bg-slate-50 border border-slate-300 rounded-lg px-3 py-2 text-slate-900"
>
<option value="0.0001">0.0001 (Schnell)</option>
<option value="0.00005">0.00005 (Standard)</option>
<option value="0.00001">0.00001 (Konservativ)</option>
</select>
</div>
</div>
</div>
{/* Save Button */}
<div className="flex justify-end gap-4">
<button
onClick={() => onUpdateSettings(DEFAULT_SETTINGS)}
className="px-6 py-2 bg-slate-200 hover:bg-slate-300 text-slate-700 rounded-lg text-sm font-medium transition-colors"
>
Zuruecksetzen
</button>
<button
onClick={onSave}
className="px-6 py-2 bg-purple-600 hover:bg-purple-700 text-white rounded-lg text-sm font-medium transition-colors"
>
{settingsSaved ? '\u2713 Gespeichert!' : 'Einstellungen speichern'}
</button>
</div>
{/* Technical Info */}
<div className="bg-white rounded-xl shadow-sm border p-6">
<h2 className="text-lg font-semibold text-slate-900 mb-4">Technische Informationen</h2>
<div className="grid grid-cols-2 md:grid-cols-4 gap-4 text-sm">
<div>
<span className="text-slate-500">API Endpoint:</span>
<code className="text-slate-900 ml-2 bg-slate-100 px-2 py-1 rounded text-xs">/api/klausur/trocr</code>
</div>
<div>
<span className="text-slate-500">Model Path:</span>
<code className="text-slate-900 ml-2 bg-slate-100 px-2 py-1 rounded text-xs">~/.cache/huggingface</code>
</div>
<div>
<span className="text-slate-500">LoRA Path:</span>
<code className="text-slate-900 ml-2 bg-slate-100 px-2 py-1 rounded text-xs">./models/lora</code>
</div>
<div>
<span className="text-slate-500">Training Data:</span>
<code className="text-slate-900 ml-2 bg-slate-100 px-2 py-1 rounded text-xs">./data/training</code>
</div>
</div>
</div>
</div>
)
}
/* ------------------------------------------------------------------ */
function CheckboxSetting({
label,
description,
checked,
onChange,
}: {
label: string
description: string
checked: boolean
onChange: (value: boolean) => void
}) {
return (
<div>
<label className="flex items-center gap-3 cursor-pointer">
<input
type="checkbox"
checked={checked}
onChange={(e) => onChange(e.target.checked)}
className="w-5 h-5 rounded bg-slate-100 border-slate-300"
/>
<div>
<div className="text-slate-900 font-medium">{label}</div>
<div className="text-sm text-slate-500">{description}</div>
</div>
</label>
</div>
)
}

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@@ -0,0 +1,304 @@
'use client'
import { SkeletonOCRResult, SkeletonDots } from '@/components/common/SkeletonText'
import { ConfidenceHeatmap } from '@/components/ai/ConfidenceHeatmap'
import type { OCRResult, MagicSettings } from '../types'
interface TabTestProps {
ocrResult: OCRResult | null
ocrLoading: boolean
imagePreview: string | null
uploadedImage: File | null
settings: MagicSettings
showHeatmap: boolean
onToggleHeatmap: () => void
onFileUpload: (file: File) => void
onManualOCR: () => void
onClearImage: () => void
onSendToTraining: () => void
}
function getConfidenceColor(confidence: number) {
if (confidence >= 0.9) return 'bg-green-500'
if (confidence >= 0.7) return 'bg-yellow-500'
return 'bg-red-500'
}
export function TabTest({
ocrResult,
ocrLoading,
imagePreview,
uploadedImage,
settings,
showHeatmap,
onToggleHeatmap,
onFileUpload,
onManualOCR,
onClearImage,
onSendToTraining,
}: TabTestProps) {
return (
<div className="space-y-6">
{/* OCR Test */}
<div className="bg-white rounded-xl shadow-sm border p-6">
<h2 className="text-lg font-semibold text-slate-900 mb-4">OCR Test</h2>
<p className="text-sm text-slate-500 mb-4">
Teste die Handschrifterkennung mit einem eigenen Bild. Das Ergebnis zeigt
den erkannten Text, Konfidenz und Verarbeitungszeit.
{settings.livePreview && (
<span className="text-purple-600 ml-1">(Live-Vorschau aktiv)</span>
)}
</p>
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
{/* Upload Area */}
<UploadArea
imagePreview={imagePreview}
uploadedImage={uploadedImage}
ocrLoading={ocrLoading}
livePreview={settings.livePreview}
onFileUpload={onFileUpload}
onManualOCR={onManualOCR}
onClearImage={onClearImage}
/>
{/* Results Area */}
<ResultsArea
ocrResult={ocrResult}
ocrLoading={ocrLoading}
onSendToTraining={onSendToTraining}
/>
</div>
</div>
{/* Confidence Heatmap */}
{imagePreview && ocrResult && ocrResult.confidence > 0 && (
<div className="bg-white rounded-xl shadow-sm border p-6">
<div className="flex items-center justify-between mb-4">
<h2 className="text-lg font-semibold text-slate-900">Konfidenz-Visualisierung</h2>
<button
onClick={onToggleHeatmap}
className={`px-3 py-1 rounded text-sm font-medium transition-colors ${
showHeatmap
? 'bg-purple-600 text-white'
: 'bg-slate-200 text-slate-700 hover:bg-slate-300'
}`}
>
{showHeatmap ? 'Heatmap verbergen' : 'Heatmap anzeigen'}
</button>
</div>
{showHeatmap && (
<ConfidenceHeatmap
imageSrc={imagePreview}
text={ocrResult.text}
confidence={ocrResult.confidence}
wordBoxes={ocrResult.word_boxes?.map(w => ({
text: w.text,
confidence: w.confidence,
bbox: w.bbox as [number, number, number, number]
})) || []}
charConfidences={ocrResult.char_confidences || []}
showLegend={true}
toggleable={true}
/>
)}
</div>
)}
{/* Confidence Interpretation */}
<div className="bg-white rounded-xl shadow-sm border p-6">
<h2 className="text-lg font-semibold text-slate-900 mb-4">Konfidenz-Interpretation</h2>
<div className="grid grid-cols-1 md:grid-cols-3 gap-4">
<div className="bg-green-50 border border-green-200 rounded-lg p-4">
<div className="text-green-700 font-medium">90-100%</div>
<div className="text-sm text-slate-600 mt-1">Sehr hohe Sicherheit - Text kann direkt uebernommen werden</div>
</div>
<div className="bg-yellow-50 border border-yellow-200 rounded-lg p-4">
<div className="text-yellow-700 font-medium">70-90%</div>
<div className="text-sm text-slate-600 mt-1">Gute Sicherheit - manuelle Ueberpruefung empfohlen</div>
</div>
<div className="bg-red-50 border border-red-200 rounded-lg p-4">
<div className="text-red-700 font-medium">&lt; 70%</div>
<div className="text-sm text-slate-600 mt-1">Niedrige Sicherheit - manuelle Eingabe erforderlich</div>
</div>
</div>
</div>
</div>
)
}
/* ------------------------------------------------------------------ */
/* Sub-components */
/* ------------------------------------------------------------------ */
interface UploadAreaProps {
imagePreview: string | null
uploadedImage: File | null
ocrLoading: boolean
livePreview: boolean
onFileUpload: (file: File) => void
onManualOCR: () => void
onClearImage: () => void
}
function UploadArea({ imagePreview, uploadedImage, ocrLoading, livePreview, onFileUpload, onManualOCR, onClearImage }: UploadAreaProps) {
return (
<div>
<div
className={`border-2 border-dashed rounded-lg p-8 text-center cursor-pointer transition-all ${
imagePreview
? 'border-purple-500 bg-purple-50'
: 'border-slate-300 hover:border-purple-500'
}`}
onClick={() => document.getElementById('ocr-file-input')?.click()}
onDragOver={(e) => { e.preventDefault(); e.currentTarget.classList.add('border-purple-500', 'bg-purple-50') }}
onDragLeave={(e) => { e.currentTarget.classList.remove('border-purple-500', 'bg-purple-50') }}
onDrop={(e) => {
e.preventDefault()
e.stopPropagation()
e.currentTarget.classList.remove('border-purple-500', 'bg-purple-50')
const file = e.dataTransfer.files[0]
if (file?.type.startsWith('image/')) onFileUpload(file)
}}
>
{imagePreview ? (
<div className="relative">
<img
src={imagePreview}
alt="Hochgeladenes Bild"
className="max-h-64 mx-auto rounded-lg shadow-sm"
/>
<button
onClick={(e) => {
e.stopPropagation()
onClearImage()
}}
className="absolute top-2 right-2 p-1 bg-red-500 text-white rounded-full hover:bg-red-600 transition-colors"
title="Bild entfernen (Escape)"
>
<svg className="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M6 18L18 6M6 6l12 12" />
</svg>
</button>
</div>
) : (
<>
<div className="text-4xl mb-2">📄</div>
<div className="text-slate-700">Bild hierher ziehen oder klicken zum Hochladen</div>
<div className="text-xs text-slate-400 mt-1">PNG, JPG - Handgeschriebener Text</div>
<div className="text-xs text-purple-500 mt-2">
oder <kbd className="px-1.5 py-0.5 bg-purple-100 rounded font-mono">Ctrl+V</kbd> zum Einfuegen
</div>
</>
)}
</div>
<input
type="file"
id="ocr-file-input"
accept="image/*"
className="hidden"
onChange={(e) => {
const file = e.target.files?.[0]
if (file) onFileUpload(file)
}}
/>
{uploadedImage && !livePreview && (
<button
onClick={onManualOCR}
disabled={ocrLoading}
className="w-full mt-4 px-4 py-2 bg-purple-600 hover:bg-purple-700 disabled:bg-slate-300 text-white rounded-lg text-sm font-medium transition-colors"
>
{ocrLoading ? (
<span className="flex items-center justify-center gap-2">
<SkeletonDots />
Analysiere...
</span>
) : (
'OCR starten (Ctrl+Enter)'
)}
</button>
)}
</div>
)
}
interface ResultsAreaProps {
ocrResult: OCRResult | null
ocrLoading: boolean
onSendToTraining: () => void
}
function ResultsArea({ ocrResult, ocrLoading, onSendToTraining }: ResultsAreaProps) {
if (ocrLoading) return <SkeletonOCRResult />
if (!ocrResult) {
return (
<div className="bg-slate-50 rounded-lg p-8 text-center text-slate-400">
<div className="text-4xl mb-2">🔍</div>
<div>Lade ein Bild hoch um die Erkennung zu testen</div>
</div>
)
}
return (
<div className="bg-slate-50 rounded-lg p-4">
<div className="flex items-center justify-between mb-2">
<h3 className="text-sm font-medium text-slate-700">Erkannter Text:</h3>
<div className={`px-2 py-1 rounded-full text-xs font-medium ${
ocrResult.confidence >= 0.9 ? 'bg-green-100 text-green-700' :
ocrResult.confidence >= 0.7 ? 'bg-yellow-100 text-yellow-700' :
'bg-red-100 text-red-700'
}`}>
{(ocrResult.confidence * 100).toFixed(0)}% Konfidenz
</div>
</div>
<pre className="bg-white border p-3 rounded text-sm text-slate-900 whitespace-pre-wrap max-h-48 overflow-y-auto">
{ocrResult.text || '(Kein Text erkannt)'}
</pre>
{/* Confidence bar */}
<div className="mt-3 mb-3">
<div className="h-2 bg-slate-200 rounded-full overflow-hidden">
<div
className={`h-full transition-all duration-500 ${getConfidenceColor(ocrResult.confidence)}`}
style={{ width: `${ocrResult.confidence * 100}%` }}
/>
</div>
</div>
<div className="grid grid-cols-2 md:grid-cols-4 gap-4 text-sm">
<div className="bg-white border rounded p-2">
<div className="text-slate-500 text-xs">Konfidenz</div>
<div className="text-slate-900 font-medium">{(ocrResult.confidence * 100).toFixed(1)}%</div>
</div>
<div className="bg-white border rounded p-2">
<div className="text-slate-500 text-xs">Verarbeitungszeit</div>
<div className="text-slate-900 font-medium">{ocrResult.processing_time_ms}ms</div>
</div>
<div className="bg-white border rounded p-2">
<div className="text-slate-500 text-xs">Modell</div>
<div className="text-slate-900 font-medium">{ocrResult.model || 'TrOCR'}</div>
</div>
<div className="bg-white border rounded p-2">
<div className="text-slate-500 text-xs">LoRA Adapter</div>
<div className="text-slate-900 font-medium">{ocrResult.has_lora_adapter ? 'Ja' : 'Nein'}</div>
</div>
</div>
{ocrResult.confidence < 0.9 && (
<div className="mt-4 p-3 bg-blue-50 border border-blue-200 rounded-lg">
<p className="text-sm text-blue-800 mb-2">
Die Erkennung koennte verbessert werden! Moechtest du dieses Beispiel zum Training hinzufuegen?
</p>
<button
onClick={onSendToTraining}
className="px-3 py-1 bg-blue-600 hover:bg-blue-700 text-white rounded text-sm transition-colors"
>
Als Trainingsbeispiel hinzufuegen
</button>
</div>
)}
</div>
)
}

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'use client'
import Link from 'next/link'
import { SkeletonDots } from '@/components/common/SkeletonText'
import { TrainingMetrics } from '@/components/ai/TrainingMetrics'
import type { TrOCRStatus, TrainingExample, MagicSettings } from '../types'
import { API_BASE } from '../types'
interface TabTrainingProps {
status: TrOCRStatus | null
examples: TrainingExample[]
trainingImage: File | null
trainingText: string
fineTuning: boolean
settings: MagicSettings
showTrainingDashboard: boolean
onSetTrainingImage: (file: File | null) => void
onSetTrainingText: (text: string) => void
onAddExample: () => void
onFineTune: () => void
onToggleDashboard: () => void
}
export function TabTraining({
status,
examples,
trainingImage,
trainingText,
fineTuning,
settings,
showTrainingDashboard,
onSetTrainingImage,
onSetTrainingText,
onAddExample,
onFineTune,
onToggleDashboard,
}: TabTrainingProps) {
const exampleCount = status?.training_examples_count || 0
const progressPct = Math.min(100, (exampleCount / 10) * 100)
return (
<div className="space-y-6">
{/* Training Overview */}
<TrainingOverviewCard
status={status}
settings={settings}
exampleCount={exampleCount}
progressPct={progressPct}
/>
<div className="grid grid-cols-1 md:grid-cols-2 gap-6">
{/* Add Training Example */}
<AddExampleCard
trainingImage={trainingImage}
trainingText={trainingText}
onSetTrainingImage={onSetTrainingImage}
onSetTrainingText={onSetTrainingText}
onAddExample={onAddExample}
/>
{/* Fine-Tuning */}
<FineTuningCard
settings={settings}
fineTuning={fineTuning}
exampleCount={exampleCount}
hasLoraAdapter={status?.has_lora_adapter || false}
onFineTune={onFineTune}
/>
</div>
{/* Training Examples List */}
{examples.length > 0 && (
<ExamplesListCard examples={examples} />
)}
{/* Training Dashboard Demo */}
<TrainingDashboardCard
showDashboard={showTrainingDashboard}
onToggle={onToggleDashboard}
/>
</div>
)
}
/* ------------------------------------------------------------------ */
function TrainingOverviewCard({
status,
settings,
exampleCount,
progressPct,
}: {
status: TrOCRStatus | null
settings: MagicSettings
exampleCount: number
progressPct: number
}) {
return (
<div className="bg-white rounded-xl shadow-sm border p-6">
<h2 className="text-lg font-semibold text-slate-900 mb-4">Training mit LoRA</h2>
<p className="text-sm text-slate-500 mb-4">
LoRA (Low-Rank Adaptation) ermoeglicht effizientes Fine-Tuning ohne das Basismodell zu veraendern.
Das Training erfolgt lokal auf Ihrem System.
</p>
<div className="grid grid-cols-2 md:grid-cols-4 gap-4 mb-6">
<div className="bg-slate-50 rounded-lg p-4 text-center">
<div className="text-3xl font-bold text-slate-900">{exampleCount}</div>
<div className="text-xs text-slate-500">Trainingsbeispiele</div>
</div>
<div className="bg-slate-50 rounded-lg p-4 text-center">
<div className="text-3xl font-bold text-slate-900">10</div>
<div className="text-xs text-slate-500">Minimum benoetigt</div>
</div>
<div className="bg-slate-50 rounded-lg p-4 text-center">
<div className="text-3xl font-bold text-slate-900">{settings.loraRank}</div>
<div className="text-xs text-slate-500">LoRA Rank</div>
</div>
<div className="bg-slate-50 rounded-lg p-4 text-center">
<div className="text-3xl font-bold text-slate-900">{status?.has_lora_adapter ? '\u2713' : '\u2717'}</div>
<div className="text-xs text-slate-500">Adapter aktiv</div>
</div>
</div>
<div className="mb-6">
<div className="flex justify-between text-sm mb-1">
<span className="text-slate-500">Fortschritt zum Fine-Tuning</span>
<span className="text-slate-500">{progressPct.toFixed(0)}%</span>
</div>
<div className="h-2 bg-slate-200 rounded-full overflow-hidden">
<div
className="h-full bg-gradient-to-r from-purple-500 to-blue-500 transition-all duration-500"
style={{ width: `${progressPct}%` }}
/>
</div>
</div>
</div>
)
}
function AddExampleCard({
trainingImage,
trainingText,
onSetTrainingImage,
onSetTrainingText,
onAddExample,
}: {
trainingImage: File | null
trainingText: string
onSetTrainingImage: (file: File | null) => void
onSetTrainingText: (text: string) => void
onAddExample: () => void
}) {
return (
<div className="bg-white rounded-xl shadow-sm border p-6">
<h2 className="text-lg font-semibold text-slate-900 mb-4">Trainingsbeispiel hinzufuegen</h2>
<p className="text-sm text-slate-500 mb-4">
Lade ein Bild mit handgeschriebenem Text hoch und gib die korrekte Transkription ein.
</p>
<div className="space-y-4">
<div>
<label className="block text-sm text-slate-700 mb-1">Bild</label>
<input
type="file"
accept="image/*"
className="w-full bg-slate-50 border border-slate-300 rounded-lg px-3 py-2 text-sm"
onChange={(e) => onSetTrainingImage(e.target.files?.[0] || null)}
/>
{trainingImage && (
<div className="mt-2 text-xs text-green-600">
Bild ausgewaehlt: {trainingImage.name}
</div>
)}
</div>
<div>
<label className="block text-sm text-slate-700 mb-1">Korrekter Text (Ground Truth)</label>
<textarea
className="w-full bg-slate-50 border border-slate-300 rounded-lg px-3 py-2 text-sm text-slate-900 resize-none"
rows={3}
placeholder="Gib hier den korrekten Text ein..."
value={trainingText}
onChange={(e) => onSetTrainingText(e.target.value)}
/>
</div>
<button
onClick={onAddExample}
className="w-full px-4 py-2 bg-purple-600 hover:bg-purple-700 text-white rounded-lg text-sm font-medium transition-colors"
>
+ Trainingsbeispiel hinzufuegen
</button>
</div>
</div>
)
}
function FineTuningCard({
settings,
fineTuning,
exampleCount,
hasLoraAdapter,
onFineTune,
}: {
settings: MagicSettings
fineTuning: boolean
exampleCount: number
hasLoraAdapter: boolean
onFineTune: () => void
}) {
return (
<div className="bg-white rounded-xl shadow-sm border p-6">
<h2 className="text-lg font-semibold text-slate-900 mb-4">Fine-Tuning starten</h2>
<p className="text-sm text-slate-500 mb-4">
Trainiere das Modell mit den gesammelten Beispielen. Der Prozess dauert
je nach Anzahl der Beispiele einige Minuten.
</p>
<div className="bg-slate-50 rounded-lg p-4 mb-4">
<div className="grid grid-cols-2 gap-4 text-sm">
<div>
<span className="text-slate-500">Epochen:</span>
<span className="text-slate-900 ml-2">{settings.epochs}</span>
</div>
<div>
<span className="text-slate-500">Learning Rate:</span>
<span className="text-slate-900 ml-2">{settings.learningRate}</span>
</div>
<div>
<span className="text-slate-500">LoRA Rank:</span>
<span className="text-slate-900 ml-2">{settings.loraRank}</span>
</div>
<div>
<span className="text-slate-500">Batch Size:</span>
<span className="text-slate-900 ml-2">{settings.batchSize}</span>
</div>
</div>
</div>
<button
onClick={onFineTune}
disabled={fineTuning || exampleCount < 10}
className="w-full px-4 py-2 bg-green-600 hover:bg-green-700 disabled:bg-slate-300 disabled:cursor-not-allowed text-white rounded-lg text-sm font-medium transition-colors"
>
{fineTuning ? (
<span className="flex items-center justify-center gap-2">
<SkeletonDots />
Fine-Tuning laeuft...
</span>
) : (
'Fine-Tuning starten'
)}
</button>
{exampleCount < 10 && (
<p className="text-xs text-yellow-600 mt-2 text-center">
Noch {10 - exampleCount} Beispiele benoetigt
</p>
)}
<Link
href="/ai/ocr-labeling?model=trocr-lora"
className="w-full mt-4 px-4 py-2 bg-teal-100 text-teal-700 border border-teal-300 rounded-lg hover:bg-teal-200 flex items-center justify-center gap-2 transition-colors"
>
<span>🏷</span>
Ground Truth in OCR-Labeling sammeln
</Link>
</div>
)
}
function ExamplesListCard({ examples }: { examples: TrainingExample[] }) {
return (
<div className="bg-white rounded-xl shadow-sm border p-6">
<h2 className="text-lg font-semibold text-slate-900 mb-4">Trainingsbeispiele ({examples.length})</h2>
<div className="space-y-2 max-h-64 overflow-y-auto">
{examples.map((ex, i) => (
<div key={i} className="flex items-center gap-4 bg-slate-50 rounded-lg p-3">
<span className="text-slate-400 font-mono text-sm w-8">{i + 1}.</span>
<span className="text-slate-900 text-sm flex-1 truncate">{ex.ground_truth}</span>
<span className="text-slate-400 text-xs">{new Date(ex.created_at).toLocaleDateString('de-DE')}</span>
</div>
))}
</div>
</div>
)
}
function TrainingDashboardCard({
showDashboard,
onToggle,
}: {
showDashboard: boolean
onToggle: () => void
}) {
return (
<div className="bg-white rounded-xl shadow-sm border p-6">
<div className="flex items-center justify-between mb-4">
<div>
<h2 className="text-lg font-semibold text-slate-900">Training Dashboard</h2>
<p className="text-sm text-slate-500">Live-Metriken waehrend des Trainings</p>
</div>
<button
onClick={onToggle}
className={`px-4 py-2 rounded-lg text-sm font-medium transition-colors ${
showDashboard
? 'bg-red-600 hover:bg-red-700 text-white'
: 'bg-purple-600 hover:bg-purple-700 text-white'
}`}
>
{showDashboard ? 'Demo stoppen' : 'Demo starten'}
</button>
</div>
{showDashboard ? (
<TrainingMetrics
apiBase={API_BASE}
simulateMode={true}
onComplete={onToggle}
/>
) : (
<div className="bg-slate-50 rounded-lg p-8 text-center">
<div className="text-4xl mb-3">📈</div>
<div className="text-slate-600 mb-2">
Das Training Dashboard zeigt Echtzeit-Metriken waehrend des Fine-Tunings
</div>
<div className="text-sm text-slate-400">
Klicke &quot;Demo starten&quot; um eine simulierte Training-Session zu sehen
</div>
</div>
)}
</div>
)
}

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export { GlobalDragOverlay, KeyboardShortcutsModal } from './GlobalOverlays'
export { TabOverview } from './TabOverview'
export { TabTest } from './TabTest'
export { TabBatch } from './TabBatch'
export { TabTraining } from './TabTraining'
export { TabArchitecture } from './TabArchitecture'
export { TabSettings } from './TabSettings'

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export type TabId = 'overview' | 'test' | 'batch' | 'training' | 'architecture' | 'settings'
export interface TrOCRStatus {
status: 'available' | 'not_installed' | 'error'
model_name?: string
model_id?: string
device?: string
is_loaded?: boolean
has_lora_adapter?: boolean
training_examples_count?: number
error?: string
install_command?: string
}
export interface OCRResult {
text: string
confidence: number
processing_time_ms: number
model: string
has_lora_adapter: boolean
char_confidences?: number[]
word_boxes?: Array<{ text: string; confidence: number; bbox: number[] }>
}
export interface TrainingExample {
image_path: string
ground_truth: string
teacher_id: string
created_at: string
}
export interface MagicSettings {
autoDetectLines: boolean
confidenceThreshold: number
maxImageSize: number
loraRank: number
loraAlpha: number
learningRate: number
epochs: number
batchSize: number
enableCache: boolean
cacheMaxAge: number
livePreview: boolean
soundFeedback: boolean
}
export const DEFAULT_SETTINGS: MagicSettings = {
autoDetectLines: true,
confidenceThreshold: 0.7,
maxImageSize: 4096,
loraRank: 8,
loraAlpha: 32,
learningRate: 0.00005,
epochs: 3,
batchSize: 4,
enableCache: true,
cacheMaxAge: 3600,
livePreview: true,
soundFeedback: false,
}
export const TABS = [
{ id: 'overview' as TabId, label: 'Uebersicht', icon: '\u{1F4CA}', shortcut: 'Alt+1' },
{ id: 'test' as TabId, label: 'OCR Test', icon: '\u{1F50D}', shortcut: 'Alt+2' },
{ id: 'batch' as TabId, label: 'Batch OCR', icon: '\u{1F4C1}', shortcut: 'Alt+3' },
{ id: 'training' as TabId, label: 'Training', icon: '\u{1F3AF}', shortcut: 'Alt+4' },
{ id: 'architecture' as TabId, label: 'Architektur', icon: '\u{1F3D7}\uFE0F', shortcut: 'Alt+5' },
{ id: 'settings' as TabId, label: 'Einstellungen', icon: '\u2699\uFE0F', shortcut: 'Alt+6' },
] as const
export const API_BASE = '/klausur-api'

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'use client'
import { useState, useEffect, useCallback, useRef } from 'react'
import {
type TabId,
type TrOCRStatus,
type OCRResult,
type TrainingExample,
type MagicSettings,
DEFAULT_SETTINGS,
API_BASE,
} from './types'
function playSuccessSound() {
try {
const audioContext = new (window.AudioContext || (window as unknown as { webkitAudioContext: typeof AudioContext }).webkitAudioContext)()
const oscillator = audioContext.createOscillator()
const gainNode = audioContext.createGain()
oscillator.connect(gainNode)
gainNode.connect(audioContext.destination)
oscillator.frequency.value = 800
oscillator.type = 'sine'
gainNode.gain.setValueAtTime(0.1, audioContext.currentTime)
gainNode.gain.exponentialRampToValueAtTime(0.01, audioContext.currentTime + 0.2)
oscillator.start(audioContext.currentTime)
oscillator.stop(audioContext.currentTime + 0.2)
} catch {
// Audio not supported, ignore
}
}
export function useMagicHelp() {
const [activeTab, setActiveTab] = useState<TabId>('overview')
const [status, setStatus] = useState<TrOCRStatus | null>(null)
const [loading, setLoading] = useState(true)
const [ocrResult, setOcrResult] = useState<OCRResult | null>(null)
const [ocrLoading, setOcrLoading] = useState(false)
const [examples, setExamples] = useState<TrainingExample[]>([])
const [trainingImage, setTrainingImage] = useState<File | null>(null)
const [trainingText, setTrainingText] = useState('')
const [fineTuning, setFineTuning] = useState(false)
const [settings, setSettings] = useState<MagicSettings>(DEFAULT_SETTINGS)
const [settingsSaved, setSettingsSaved] = useState(false)
// Phase 1: New state for enhanced features
const [globalDragActive, setGlobalDragActive] = useState(false)
const [uploadedImage, setUploadedImage] = useState<File | null>(null)
const [imagePreview, setImagePreview] = useState<string | null>(null)
const [showShortcutHint, setShowShortcutHint] = useState(false)
const [showHeatmap, setShowHeatmap] = useState(false)
const [showTrainingDashboard, setShowTrainingDashboard] = useState(false)
const debounceTimer = useRef<NodeJS.Timeout | null>(null)
const dragCounter = useRef(0)
const fetchStatus = useCallback(async () => {
try {
const res = await fetch(`${API_BASE}/api/klausur/trocr/status`)
const data = await res.json()
setStatus(data)
} catch {
setStatus({ status: 'error', error: 'Failed to fetch status' })
} finally {
setLoading(false)
}
}, [])
const fetchExamples = useCallback(async () => {
try {
const res = await fetch(`${API_BASE}/api/klausur/trocr/training/examples`)
const data = await res.json()
setExamples(data.examples || [])
} catch (error) {
console.error('Failed to fetch examples:', error)
}
}, [])
// Phase 1: Live OCR with debounce
const triggerOCR = useCallback(async (file: File) => {
setOcrLoading(true)
setOcrResult(null)
const formData = new FormData()
formData.append('file', file)
try {
const res = await fetch(`${API_BASE}/api/klausur/trocr/extract?detect_lines=${settings.autoDetectLines}`, {
method: 'POST',
body: formData,
})
const data = await res.json()
if (data.text !== undefined) {
setOcrResult(data)
if (settings.soundFeedback && data.confidence > 0.7) {
playSuccessSound()
}
} else {
setOcrResult({ text: `Error: ${data.detail || 'Unknown error'}`, confidence: 0, processing_time_ms: 0, model: '', has_lora_adapter: false })
}
} catch (error) {
setOcrResult({ text: `Error: ${error}`, confidence: 0, processing_time_ms: 0, model: '', has_lora_adapter: false })
} finally {
setOcrLoading(false)
}
}, [settings.autoDetectLines, settings.soundFeedback])
// Handle file upload with live preview
const handleFileUpload = useCallback((file: File) => {
if (!file.type.startsWith('image/')) return
setUploadedImage(file)
const previewUrl = URL.createObjectURL(file)
setImagePreview(previewUrl)
setActiveTab('test')
if (settings.livePreview) {
if (debounceTimer.current) {
clearTimeout(debounceTimer.current)
}
debounceTimer.current = setTimeout(() => {
triggerOCR(file)
}, 500)
}
}, [settings.livePreview, triggerOCR])
const handleManualOCR = () => {
if (uploadedImage) {
triggerOCR(uploadedImage)
}
}
// Phase 1: Global Drag & Drop handler
useEffect(() => {
const handleDragEnter = (e: DragEvent) => {
e.preventDefault()
e.stopPropagation()
dragCounter.current++
if (e.dataTransfer?.types.includes('Files')) {
setGlobalDragActive(true)
}
}
const handleDragLeave = (e: DragEvent) => {
e.preventDefault()
e.stopPropagation()
dragCounter.current--
if (dragCounter.current === 0) {
setGlobalDragActive(false)
}
}
const handleDragOver = (e: DragEvent) => {
e.preventDefault()
e.stopPropagation()
}
const handleDrop = (e: DragEvent) => {
e.preventDefault()
e.stopPropagation()
dragCounter.current = 0
setGlobalDragActive(false)
const file = e.dataTransfer?.files[0]
if (file?.type.startsWith('image/')) {
handleFileUpload(file)
}
}
document.addEventListener('dragenter', handleDragEnter)
document.addEventListener('dragleave', handleDragLeave)
document.addEventListener('dragover', handleDragOver)
document.addEventListener('drop', handleDrop)
return () => {
document.removeEventListener('dragenter', handleDragEnter)
document.removeEventListener('dragleave', handleDragLeave)
document.removeEventListener('dragover', handleDragOver)
document.removeEventListener('drop', handleDrop)
}
}, [handleFileUpload])
// Phase 1: Clipboard paste handler (Ctrl+V)
useEffect(() => {
const handlePaste = async (e: ClipboardEvent) => {
const items = e.clipboardData?.items
if (!items) return
for (const item of items) {
if (item.type.startsWith('image/')) {
e.preventDefault()
const file = item.getAsFile()
if (file) {
handleFileUpload(file)
}
break
}
}
}
document.addEventListener('paste', handlePaste)
return () => document.removeEventListener('paste', handlePaste)
}, [handleFileUpload])
// Phase 1: Keyboard shortcuts
useEffect(() => {
const handleKeyDown = (e: KeyboardEvent) => {
if (e.ctrlKey && e.key === 'Enter' && uploadedImage) {
e.preventDefault()
handleManualOCR()
}
if (e.key >= '1' && e.key <= '6' && e.altKey) {
e.preventDefault()
const tabIndex = parseInt(e.key) - 1
const tabIds: TabId[] = ['overview', 'test', 'batch', 'training', 'architecture', 'settings']
if (tabIds[tabIndex]) {
setActiveTab(tabIds[tabIndex])
}
}
if (e.key === 'Escape' && uploadedImage) {
setUploadedImage(null)
setImagePreview(null)
setOcrResult(null)
}
if (e.key === '?') {
setShowShortcutHint(prev => !prev)
}
}
document.addEventListener('keydown', handleKeyDown)
return () => document.removeEventListener('keydown', handleKeyDown)
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [uploadedImage])
// Initial data load + settings from localStorage
useEffect(() => {
fetchStatus()
fetchExamples()
const saved = localStorage.getItem('magic-help-settings')
if (saved) {
try {
setSettings({ ...DEFAULT_SETTINGS, ...JSON.parse(saved) })
} catch {
// ignore parse errors
}
}
}, [fetchStatus, fetchExamples])
// Cleanup preview URL
useEffect(() => {
return () => {
if (imagePreview) {
URL.revokeObjectURL(imagePreview)
}
}
}, [imagePreview])
const handleAddTrainingExample = async () => {
if (!trainingImage || !trainingText.trim()) {
alert('Please provide both an image and the correct text')
return
}
const formData = new FormData()
formData.append('file', trainingImage)
try {
const res = await fetch(`${API_BASE}/api/klausur/trocr/training/add?ground_truth=${encodeURIComponent(trainingText)}`, {
method: 'POST',
body: formData,
})
const data = await res.json()
if (data.example_id) {
alert(`Training example added! Total: ${data.total_examples}`)
setTrainingImage(null)
setTrainingText('')
fetchStatus()
fetchExamples()
} else {
alert(`Error: ${data.detail || 'Unknown error'}`)
}
} catch (error) {
alert(`Error: ${error}`)
}
}
const handleFineTune = async () => {
if (!confirm('Start fine-tuning? This may take several minutes.')) return
setFineTuning(true)
try {
const res = await fetch(`${API_BASE}/api/klausur/trocr/training/fine-tune`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
epochs: settings.epochs,
learning_rate: settings.learningRate,
lora_rank: settings.loraRank,
lora_alpha: settings.loraAlpha,
}),
})
const data = await res.json()
if (data.status === 'success') {
alert(`Fine-tuning successful!\nExamples used: ${data.examples_used}\nEpochs: ${data.epochs}`)
fetchStatus()
} else {
alert(`Fine-tuning failed: ${data.message}`)
}
} catch (error) {
alert(`Error: ${error}`)
} finally {
setFineTuning(false)
}
}
const saveSettings = () => {
localStorage.setItem('magic-help-settings', JSON.stringify(settings))
setSettingsSaved(true)
setTimeout(() => setSettingsSaved(false), 2000)
}
const clearUploadedImage = () => {
setUploadedImage(null)
setImagePreview(null)
setOcrResult(null)
}
const sendToTraining = () => {
if (uploadedImage && ocrResult) {
setTrainingImage(uploadedImage)
setTrainingText(ocrResult.text)
setActiveTab('training')
}
}
return {
// State
activeTab,
setActiveTab,
status,
loading,
ocrResult,
ocrLoading,
examples,
trainingImage,
setTrainingImage,
trainingText,
setTrainingText,
fineTuning,
settings,
setSettings,
settingsSaved,
globalDragActive,
uploadedImage,
imagePreview,
showShortcutHint,
setShowShortcutHint,
showHeatmap,
setShowHeatmap,
showTrainingDashboard,
setShowTrainingDashboard,
// Actions
fetchStatus,
handleFileUpload,
handleManualOCR,
handleAddTrainingExample,
handleFineTune,
saveSettings,
clearUploadedImage,
sendToTraining,
}
}
export type UseMagicHelpReturn = ReturnType<typeof useMagicHelp>

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'use client'
/**
* Ground-Truth Queue & Progress
*
* Overview page showing all sessions with their GT status.
* Clicking a session opens it in the Kombi Pipeline (/ai/ocr-overlay)
* where the actual review (split-view, inline edit, GT marking) happens.
*/
import { useState, useEffect, useCallback } from 'react'
import { useRouter } from 'next/navigation'
import { PagePurpose } from '@/components/common/PagePurpose'
const KLAUSUR_API = '/klausur-api'
// ---------------------------------------------------------------------------
// Types
// ---------------------------------------------------------------------------
interface Session {
id: string
name: string
filename: string
status: string
created_at: string
document_category: string | null
has_ground_truth: boolean
}
interface GTSession {
session_id: string
name: string
filename: string
document_category: string | null
pipeline: string | null
saved_at: string | null
summary: {
total_zones: number
total_columns: number
total_rows: number
total_cells: number
}
}
// ---------------------------------------------------------------------------
// Component
// ---------------------------------------------------------------------------
export default function GroundTruthQueuePage() {
const router = useRouter()
const [allSessions, setAllSessions] = useState<Session[]>([])
const [gtSessions, setGtSessions] = useState<GTSession[]>([])
const [filter, setFilter] = useState<'all' | 'unreviewed' | 'reviewed'>('all')
const [loading, setLoading] = useState(true)
const [selectedSessions, setSelectedSessions] = useState<Set<string>>(new Set())
const [marking, setMarking] = useState(false)
const [markResult, setMarkResult] = useState<string | null>(null)
// Load sessions + GT sessions
const loadData = useCallback(async () => {
setLoading(true)
try {
const [sessRes, gtRes] = await Promise.all([
fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions?limit=200`),
fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/ground-truth-sessions`),
])
if (sessRes.ok) {
const data = await sessRes.json()
const gtSet = new Set<string>()
if (gtRes.ok) {
const gtData = await gtRes.json()
const gts: GTSession[] = gtData.sessions || []
setGtSessions(gts)
for (const g of gts) gtSet.add(g.session_id)
}
const sessions: Session[] = (data.sessions || [])
.filter((s: any) => !s.parent_session_id)
.map((s: any) => ({
id: s.id,
name: s.name || '',
filename: s.filename || '',
status: s.status || 'active',
created_at: s.created_at || '',
document_category: s.document_category || null,
has_ground_truth: gtSet.has(s.id),
}))
setAllSessions(sessions)
}
} catch (e) {
console.error('Failed to load data:', e)
} finally {
setLoading(false)
}
}, [])
useEffect(() => {
loadData()
}, [loadData])
// Filtered sessions
const filteredSessions = allSessions.filter((s) => {
if (filter === 'unreviewed') return !s.has_ground_truth
if (filter === 'reviewed') return s.has_ground_truth
return true
})
const reviewedCount = allSessions.filter((s) => s.has_ground_truth).length
const totalCount = allSessions.length
const pct = totalCount > 0 ? Math.round((reviewedCount / totalCount) * 100) : 0
// Open session in Kombi pipeline
const openInPipeline = (sessionId: string) => {
router.push(`/ai/ocr-overlay?session=${sessionId}&mode=kombi`)
}
// Batch mark as GT
const batchMark = async () => {
setMarking(true)
let success = 0
for (const sid of selectedSessions) {
try {
const res = await fetch(
`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sid}/mark-ground-truth?pipeline=kombi`,
{ method: 'POST' },
)
if (res.ok) success++
} catch {
/* skip */
}
}
setSelectedSessions(new Set())
setMarking(false)
setMarkResult(`${success} Sessions als Ground Truth markiert`)
setTimeout(() => setMarkResult(null), 3000)
loadData()
}
const toggleSelect = (id: string) => {
setSelectedSessions((prev) => {
const next = new Set(prev)
if (next.has(id)) next.delete(id)
else next.add(id)
return next
})
}
const selectAll = () => {
if (selectedSessions.size === filteredSessions.length) {
setSelectedSessions(new Set())
} else {
setSelectedSessions(new Set(filteredSessions.map((s) => s.id)))
}
}
return (
<div className="space-y-6">
<div className="max-w-5xl mx-auto p-4 space-y-4">
<PagePurpose
title="Ground Truth Queue"
purpose="Uebersicht aller OCR-Sessions und deren Ground-Truth-Status. Zum Pruefen und Korrigieren eine Session oeffnen — sie wird im Kombi-Modus (OCR Overlay) bearbeitet."
audience={['Entwickler', 'QA']}
defaultCollapsed
architecture={{
services: ['klausur-service (FastAPI, Port 8086)'],
databases: ['PostgreSQL (ocr_pipeline_sessions)'],
}}
relatedPages={[
{
name: 'Kombi Pipeline',
href: '/ai/ocr-overlay',
description: 'Sessions bearbeiten und GT markieren',
},
{
name: 'OCR Regression',
href: '/ai/ocr-regression',
description: 'Regressions-Tests',
},
]}
/>
{/* Progress Bar */}
<div className="bg-white rounded-lg border border-slate-200 p-4">
<div className="flex items-center justify-between mb-2">
<h2 className="text-lg font-bold text-slate-900">
Ground Truth Fortschritt
</h2>
<span className="text-sm text-slate-500">
{reviewedCount} von {totalCount} markiert ({pct}%)
</span>
</div>
<div className="w-full bg-slate-100 rounded-full h-2.5">
<div
className="bg-teal-500 h-2.5 rounded-full transition-all duration-500"
style={{ width: `${pct}%` }}
/>
</div>
<div className="flex items-center gap-4 mt-2 text-xs text-slate-500">
<span className="flex items-center gap-1">
<span className="w-2 h-2 rounded-full bg-teal-400" />
{reviewedCount} Ground Truth
</span>
<span className="flex items-center gap-1">
<span className="w-2 h-2 rounded-full bg-slate-300" />
{totalCount - reviewedCount} offen
</span>
<span>
{gtSessions.reduce((sum, g) => sum + g.summary.total_cells, 0)}{' '}
Referenz-Zellen gesamt
</span>
</div>
</div>
{/* Filter + Actions */}
<div className="flex items-center gap-4 flex-wrap">
<div className="flex gap-1 bg-slate-100 rounded-lg p-1">
{(['all', 'unreviewed', 'reviewed'] as const).map((f) => (
<button
key={f}
onClick={() => setFilter(f)}
className={`px-3 py-1.5 text-sm rounded-md transition-colors ${
filter === f
? 'bg-white text-slate-900 shadow-sm font-medium'
: 'text-slate-500 hover:text-slate-700'
}`}
>
{f === 'all'
? 'Alle'
: f === 'unreviewed'
? 'Offen'
: 'Ground Truth'}
<span className="ml-1 text-xs text-slate-400">
(
{
allSessions.filter((s) =>
f === 'unreviewed'
? !s.has_ground_truth
: f === 'reviewed'
? s.has_ground_truth
: true,
).length
}
)
</span>
</button>
))}
</div>
<div className="ml-auto flex items-center gap-2">
{selectedSessions.size > 0 && (
<button
onClick={batchMark}
disabled={marking}
className="px-3 py-1.5 bg-teal-600 text-white text-sm rounded-lg hover:bg-teal-700 disabled:opacity-50"
>
{marking
? 'Markiere...'
: `${selectedSessions.size} als GT markieren`}
</button>
)}
<button
onClick={selectAll}
className="px-3 py-1.5 text-sm text-slate-500 hover:text-slate-700 border border-slate-200 rounded-lg hover:bg-slate-50"
>
{selectedSessions.size === filteredSessions.length
? 'Keine auswaehlen'
: 'Alle auswaehlen'}
</button>
</div>
</div>
{/* Toast */}
{markResult && (
<div className="p-3 rounded-lg text-sm bg-emerald-50 text-emerald-700 border border-emerald-200">
{markResult}
</div>
)}
{/* Session List */}
{loading ? (
<div className="text-center py-12 text-slate-400">
Lade Sessions...
</div>
) : filteredSessions.length === 0 ? (
<div className="text-center py-12 text-slate-400">
<p className="text-lg">Keine Sessions in dieser Ansicht</p>
</div>
) : (
<div className="bg-white rounded-lg border border-slate-200 overflow-hidden">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-slate-200 bg-slate-50 text-left text-slate-500">
<th className="px-4 py-2 w-8">
<input
type="checkbox"
checked={
selectedSessions.size === filteredSessions.length &&
filteredSessions.length > 0
}
onChange={selectAll}
className="rounded border-slate-300"
/>
</th>
<th className="px-4 py-2 font-medium">Status</th>
<th className="px-4 py-2 font-medium">Session</th>
<th className="px-4 py-2 font-medium">Kategorie</th>
<th className="px-4 py-2 font-medium">Erstellt</th>
<th className="px-4 py-2 font-medium text-right">
Aktion
</th>
</tr>
</thead>
<tbody>
{filteredSessions.map((s) => {
const gt = gtSessions.find((g) => g.session_id === s.id)
return (
<tr
key={s.id}
className="border-b border-slate-50 hover:bg-slate-50 transition-colors"
>
<td className="px-4 py-2">
<input
type="checkbox"
checked={selectedSessions.has(s.id)}
onChange={() => toggleSelect(s.id)}
className="rounded border-slate-300"
/>
</td>
<td className="px-4 py-2">
{s.has_ground_truth ? (
<span className="inline-flex items-center gap-1 px-2 py-0.5 rounded-full text-xs font-medium bg-emerald-100 text-emerald-700 border border-emerald-200">
<svg
className="w-3 h-3"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
<path
strokeLinecap="round"
strokeLinejoin="round"
strokeWidth={2}
d="M5 13l4 4L19 7"
/>
</svg>
GT
</span>
) : (
<span className="inline-flex items-center px-2 py-0.5 rounded-full text-xs font-medium bg-slate-100 text-slate-500 border border-slate-200">
Offen
</span>
)}
</td>
<td className="px-4 py-2">
<div className="flex items-center gap-3">
<div className="flex-shrink-0 w-8 h-8 rounded bg-slate-100 overflow-hidden">
{/* eslint-disable-next-line @next/next/no-img-element */}
<img
src={`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${s.id}/thumbnail?size=64`}
alt=""
className="w-full h-full object-cover"
loading="lazy"
onError={(e) => {
;(e.target as HTMLImageElement).style.display =
'none'
}}
/>
</div>
<div className="min-w-0">
<div className="font-medium text-slate-900 truncate">
{s.name || s.filename || s.id.slice(0, 8)}
</div>
{gt && (
<div className="text-xs text-slate-400">
{gt.summary.total_cells} Zellen,{' '}
{gt.summary.total_zones} Zonen
</div>
)}
</div>
</div>
</td>
<td className="px-4 py-2">
{s.document_category ? (
<span className="text-xs bg-slate-100 px-1.5 py-0.5 rounded text-slate-600">
{s.document_category}
</span>
) : (
<span className="text-xs text-slate-300"></span>
)}
</td>
<td className="px-4 py-2 text-slate-500">
{new Date(s.created_at).toLocaleDateString('de-DE', {
day: '2-digit',
month: '2-digit',
year: '2-digit',
})}
</td>
<td className="px-4 py-2 text-right">
<button
onClick={() => openInPipeline(s.id)}
className="px-3 py-1 text-xs bg-teal-600 text-white rounded hover:bg-teal-700 transition-colors"
>
{s.has_ground_truth
? 'Ueberpruefen'
: 'Im Kombi-Modus oeffnen'}
</button>
</td>
</tr>
)
})}
</tbody>
</table>
</div>
)}
</div>
</div>
)
}

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'use client'
import { Suspense } from 'react'
import { PagePurpose } from '@/components/common/PagePurpose'
import { KombiStepper } from '@/components/ocr-kombi/KombiStepper'
import { SessionList } from '@/components/ocr-kombi/SessionList'
import { SessionHeader } from '@/components/ocr-kombi/SessionHeader'
import { StepUpload } from '@/components/ocr-kombi/StepUpload'
import { StepOrientation } from '@/components/ocr-kombi/StepOrientation'
import { StepPageSplit } from '@/components/ocr-kombi/StepPageSplit'
import { StepDeskew } from '@/components/ocr-kombi/StepDeskew'
import { StepDewarp } from '@/components/ocr-kombi/StepDewarp'
import { StepContentCrop } from '@/components/ocr-kombi/StepContentCrop'
import { StepOcr } from '@/components/ocr-kombi/StepOcr'
import { StepStructure } from '@/components/ocr-kombi/StepStructure'
import { StepGridBuild } from '@/components/ocr-kombi/StepGridBuild'
import { StepGridReview } from '@/components/ocr-kombi/StepGridReview'
import { StepGutterRepair } from '@/components/ocr-kombi/StepGutterRepair'
import { StepBoxGridReview } from '@/components/ocr-kombi/StepBoxGridReview'
import { StepAnsicht } from '@/components/ocr-kombi/StepAnsicht'
import { StepGroundTruth } from '@/components/ocr-kombi/StepGroundTruth'
import { useKombiPipeline } from './useKombiPipeline'
function OcrKombiContent() {
const {
currentStep,
sessionId,
sessionName,
loadingSessions,
activeCategory,
isGroundTruth,
pageNumber,
steps,
gridSaveRef,
groupedSessions,
loadSessions,
openSession,
handleStepClick,
handleNext,
handleNewSession,
deleteSession,
renameSession,
updateCategory,
setSessionId,
setSessionName,
setIsGroundTruth,
} = useKombiPipeline()
const renderStep = () => {
switch (currentStep) {
case 0:
return (
<StepUpload
sessionId={sessionId}
onUploaded={(sid, name) => {
setSessionId(sid)
setSessionName(name)
loadSessions()
}}
onNext={handleNext}
/>
)
case 1:
return (
<StepOrientation
sessionId={sessionId}
onNext={() => handleNext()}
onSessionList={() => { loadSessions(); handleNewSession() }}
/>
)
case 2:
return (
<StepPageSplit
sessionId={sessionId}
sessionName={sessionName}
onNext={handleNext}
onSplitComplete={(childId, childName) => {
// Switch to the first child session and refresh the list
setSessionId(childId)
setSessionName(childName)
loadSessions()
}}
/>
)
case 3:
return <StepDeskew sessionId={sessionId} onNext={handleNext} />
case 4:
return <StepDewarp sessionId={sessionId} onNext={handleNext} />
case 5:
return <StepContentCrop sessionId={sessionId} onNext={handleNext} />
case 6:
return <StepOcr sessionId={sessionId} onNext={handleNext} />
case 7:
return <StepStructure sessionId={sessionId} onNext={handleNext} />
case 8:
return <StepGridBuild sessionId={sessionId} onNext={handleNext} />
case 9:
return <StepGridReview sessionId={sessionId} onNext={handleNext} saveRef={gridSaveRef} />
case 10:
return <StepGutterRepair sessionId={sessionId} onNext={handleNext} />
case 11:
return <StepBoxGridReview sessionId={sessionId} onNext={handleNext} />
case 12:
return <StepAnsicht sessionId={sessionId} onNext={handleNext} />
case 13:
return (
<StepGroundTruth
sessionId={sessionId}
isGroundTruth={isGroundTruth}
onMarked={() => setIsGroundTruth(true)}
gridSaveRef={gridSaveRef}
/>
)
default:
return null
}
}
return (
<div className="space-y-6">
<PagePurpose
title="OCR Kombi Pipeline"
purpose="Modulare 11-Schritt-Pipeline: Upload, Vorverarbeitung, Dual-Engine-OCR (PP-OCRv5 + Tesseract), Strukturerkennung, Grid-Aufbau und Review. Multi-Page-Dokument-Unterstuetzung."
audience={['Entwickler']}
architecture={{
services: ['klausur-service (FastAPI)', 'OpenCV', 'Tesseract', 'PaddleOCR'],
databases: ['PostgreSQL Sessions'],
}}
relatedPages={[
{ name: 'OCR Regression', href: '/ai/ocr-regression', description: 'Regressionstests' },
]}
defaultCollapsed
/>
<SessionList
items={groupedSessions()}
loading={loadingSessions}
activeSessionId={sessionId}
onOpenSession={(sid) => openSession(sid)}
onNewSession={handleNewSession}
onDeleteSession={deleteSession}
onRenameSession={renameSession}
onUpdateCategory={updateCategory}
/>
{sessionId && sessionName && (
<SessionHeader
sessionName={sessionName}
activeCategory={activeCategory}
isGroundTruth={isGroundTruth}
pageNumber={pageNumber}
onUpdateCategory={(cat) => updateCategory(sessionId, cat)}
/>
)}
<KombiStepper
steps={steps}
currentStep={currentStep}
onStepClick={handleStepClick}
/>
<div className="min-h-[400px]">{renderStep()}</div>
</div>
)
}
export default function OcrKombiPage() {
return (
<Suspense fallback={<div className="p-4 text-sm text-gray-400">Lade...</div>}>
<OcrKombiContent />
</Suspense>
)
}

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// OCR Pipeline Types — migrated from deleted ocr-pipeline/types.ts
export type PipelineStepStatus = 'pending' | 'active' | 'completed' | 'failed' | 'skipped'
export interface PipelineStep {
id: string
name: string
icon: string
status: PipelineStepStatus
}
export type DocumentCategory =
| 'vokabelseite' | 'woerterbuch' | 'buchseite' | 'arbeitsblatt' | 'klausurseite'
| 'mathearbeit' | 'statistik' | 'zeitung' | 'formular' | 'handschrift' | 'sonstiges'
export const DOCUMENT_CATEGORIES: { value: DocumentCategory; label: string; icon: string }[] = [
{ value: 'vokabelseite', label: 'Vokabelseite', icon: '📖' },
{ value: 'woerterbuch', label: 'Woerterbuch', icon: '📕' },
{ value: 'buchseite', label: 'Buchseite', icon: '📚' },
{ value: 'arbeitsblatt', label: 'Arbeitsblatt', icon: '📝' },
{ value: 'klausurseite', label: 'Klausurseite', icon: '📄' },
{ value: 'mathearbeit', label: 'Mathearbeit', icon: '🔢' },
{ value: 'statistik', label: 'Statistik', icon: '📊' },
{ value: 'zeitung', label: 'Zeitung', icon: '📰' },
{ value: 'formular', label: 'Formular', icon: '📋' },
{ value: 'handschrift', label: 'Handschrift', icon: '✍️' },
{ value: 'sonstiges', label: 'Sonstiges', icon: '📎' },
]
export interface SessionListItem {
id: string
name: string
filename: string
status: string
current_step: number
document_category?: DocumentCategory
doc_type?: string
parent_session_id?: string
document_group_id?: string
page_number?: number
is_ground_truth?: boolean
created_at: string
updated_at?: string
}
export interface SubSession {
id: string
name: string
box_index: number
current_step?: number
status?: string
}
export interface OrientationResult {
orientation_degrees: number
corrected: boolean
duration_seconds: number
}
export interface CropResult {
crop_applied: boolean
crop_rect?: { x: number; y: number; width: number; height: number }
crop_rect_pct?: { x: number; y: number; width: number; height: number }
original_size: { width: number; height: number }
cropped_size: { width: number; height: number }
detected_format?: string
format_confidence?: number
aspect_ratio?: number
border_fractions?: { top: number; bottom: number; left: number; right: number }
skipped?: boolean
duration_seconds?: number
}
export interface DeskewResult {
session_id: string
angle_hough: number
angle_word_alignment: number
angle_iterative?: number
angle_residual?: number
angle_textline?: number
angle_applied: number
method_used: 'hough' | 'word_alignment' | 'manual' | 'iterative' | 'two_pass' | 'three_pass' | 'manual_combined'
confidence: number
duration_seconds: number
deskewed_image_url: string
binarized_image_url: string
}
export interface DewarpDetection {
method: string
shear_degrees: number
confidence: number
}
export interface DewarpResult {
session_id: string
method_used: string
shear_degrees: number
confidence: number
duration_seconds: number
dewarped_image_url: string
detections?: DewarpDetection[]
}
export interface SessionInfo {
session_id: string
filename: string
name?: string
image_width: number
image_height: number
original_image_url: string
current_step?: number
document_category?: DocumentCategory
doc_type?: string
orientation_result?: OrientationResult
crop_result?: CropResult
deskew_result?: DeskewResult
dewarp_result?: DewarpResult
sub_sessions?: SubSession[]
parent_session_id?: string
box_index?: number
document_group_id?: string
page_number?: number
}
export interface StructureGraphic {
x: number; y: number; w: number; h: number
area: number; shape: string; color_name: string; color_hex: string; confidence: number
}
export interface ExcludeRegion {
x: number; y: number; w: number; h: number; label?: string
}
export interface StructureBox {
x: number; y: number; w: number; h: number
confidence: number; border_thickness: number
bg_color_name?: string; bg_color_hex?: string
}
export interface StructureZone {
index: number; zone_type: 'content' | 'box'
x: number; y: number; w: number; h: number
}
export interface DocLayoutRegion {
x: number; y: number; w: number; h: number
class_name: string; confidence: number
}
export interface StructureResult {
image_width: number; image_height: number
content_bounds: { x: number; y: number; w: number; h: number }
boxes: StructureBox[]; zones: StructureZone[]
graphics: StructureGraphic[]; exclude_regions?: ExcludeRegion[]
color_pixel_counts: Record<string, number>
has_words: boolean; word_count: number
border_ghosts_removed?: number; duration_seconds: number
layout_regions?: DocLayoutRegion[]
detection_method?: 'opencv' | 'ppdoclayout'
}
export interface WordBbox { x: number; y: number; w: number; h: number }
export interface OcrWordBox {
text: string; left: number; top: number; width: number; height: number; conf: number
color?: string; color_name?: string; recovered?: boolean
}
export interface ColumnMeta { index: number; type: string; x: number; width: number }
export interface GridCell {
cell_id: string; row_index: number; col_index: number; col_type: string
text: string; confidence: number; bbox_px: WordBbox; bbox_pct: WordBbox
ocr_engine?: string; is_bold?: boolean
status?: 'pending' | 'confirmed' | 'edited' | 'skipped'
word_boxes?: OcrWordBox[]
}
export interface WordEntry {
row_index: number; english: string; german: string; example: string
source_page?: string; marker?: string; confidence: number
bbox: WordBbox; bbox_en: WordBbox | null; bbox_de: WordBbox | null; bbox_ex: WordBbox | null
bbox_ref?: WordBbox | null; bbox_marker?: WordBbox | null
status?: 'pending' | 'confirmed' | 'edited' | 'skipped'
}
export interface GridResult {
cells: GridCell[]
grid_shape: { rows: number; cols: number; total_cells: number }
columns_used: ColumnMeta[]
layout: 'vocab' | 'generic'
image_width: number; image_height: number; duration_seconds: number
ocr_engine?: string; vocab_entries?: WordEntry[]; entries?: WordEntry[]; entry_count?: number
summary: {
total_cells: number; non_empty_cells: number; low_confidence: number
total_entries?: number; with_english?: number; with_german?: number
}
llm_review?: {
changes: { row_index: number; field: string; old: string; new: string }[]
model_used: string; duration_ms: number; entries_corrected: number
applied_count?: number; applied_at?: string
}
}
// --- Kombi V2 Pipeline ---
export const KOMBI_V2_STEPS: PipelineStep[] = [
{ id: 'upload', name: 'Upload', icon: '📤', status: 'pending' },
{ id: 'orientation', name: 'Orientierung', icon: '🔄', status: 'pending' },
{ id: 'page-split', name: 'Seitentrennung', icon: '📖', status: 'pending' },
{ id: 'deskew', name: 'Begradigung', icon: '📐', status: 'pending' },
{ id: 'dewarp', name: 'Entzerrung', icon: '🔧', status: 'pending' },
{ id: 'content-crop', name: 'Zuschneiden', icon: '✂️', status: 'pending' },
{ id: 'ocr', name: 'OCR', icon: '🔀', status: 'pending' },
{ id: 'structure', name: 'Strukturerkennung', icon: '🔍', status: 'pending' },
{ id: 'grid-build', name: 'Grid-Aufbau', icon: '🧱', status: 'pending' },
{ id: 'grid-review', name: 'Grid-Review', icon: '📊', status: 'pending' },
{ id: 'gutter-repair', name: 'Wortkorrektur', icon: '🩹', status: 'pending' },
{ id: 'box-review', name: 'Box-Review', icon: '📦', status: 'pending' },
{ id: 'ansicht', name: 'Ansicht', icon: '👁️', status: 'pending' },
{ id: 'ground-truth', name: 'Ground Truth', icon: '✅', status: 'pending' },
]
export const KOMBI_V2_UI_TO_DB: Record<number, number> = {
0: 1, 1: 2, 2: 2, 3: 3, 4: 4, 5: 5, 6: 8, 7: 9, 8: 10, 9: 11, 10: 11, 11: 11, 12: 11, 13: 12,
}
export function dbStepToKombiV2Ui(dbStep: number): number {
if (dbStep <= 1) return 0
if (dbStep === 2) return 1
if (dbStep === 3) return 3
if (dbStep === 4) return 4
if (dbStep === 5) return 5
if (dbStep <= 8) return 6
if (dbStep === 9) return 7
if (dbStep === 10) return 8
if (dbStep === 11) return 9
return 13
}
export interface DocumentGroup {
group_id: string; title: string; page_count: number; sessions: DocumentGroupSession[]
}
export interface DocumentGroupSession {
id: string; name: string; page_number: number; current_step: number
status: string; document_category?: DocumentCategory; created_at: string
}
export type OcrEngineSource = 'both' | 'paddle_only' | 'tesseract_only' | 'conflict_paddle' | 'conflict_tesseract'
export interface OcrTransparentWord {
text: string; left: number; top: number; width: number; height: number
conf: number; engine_source: OcrEngineSource
}
export interface OcrTransparentResult {
raw_tesseract: { words: OcrTransparentWord[] }
raw_paddle: { words: OcrTransparentWord[] }
merged: { words: OcrTransparentWord[] }
stats: {
total_words: number; both_agree: number; paddle_only: number
tesseract_only: number; conflict_paddle_wins: number; conflict_tesseract_wins: number
}
}

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'use client'
import { useCallback, useEffect, useState, useRef } from 'react'
import { useSearchParams } from 'next/navigation'
import type { PipelineStep, DocumentCategory, SessionListItem } from './types'
import { KOMBI_V2_STEPS, dbStepToKombiV2Ui } from './types'
export type { SessionListItem }
const KLAUSUR_API = '/klausur-api'
/** Groups sessions by document_group_id for the session list */
export interface DocumentGroupView {
group_id: string
title: string
sessions: SessionListItem[]
page_count: number
}
function initSteps(): PipelineStep[] {
return KOMBI_V2_STEPS.map((s, i) => ({
...s,
status: i === 0 ? 'active' : 'pending',
}))
}
export function useKombiPipeline() {
const [currentStep, setCurrentStep] = useState(0)
const [sessionId, setSessionId] = useState<string | null>(null)
const [sessionName, setSessionName] = useState('')
const [sessions, setSessions] = useState<SessionListItem[]>([])
const [loadingSessions, setLoadingSessions] = useState(true)
const [activeCategory, setActiveCategory] = useState<DocumentCategory | undefined>(undefined)
const [isGroundTruth, setIsGroundTruth] = useState(false)
const [pageNumber, setPageNumber] = useState<number | null>(null)
const [steps, setSteps] = useState<PipelineStep[]>(initSteps())
const searchParams = useSearchParams()
const deepLinkHandled = useRef(false)
const gridSaveRef = useRef<(() => Promise<void>) | null>(null)
// ---- Session loading ----
const loadSessions = useCallback(async () => {
setLoadingSessions(true)
try {
const res = await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions`)
if (res.ok) {
const data = await res.json()
setSessions((data.sessions || []).filter((s: SessionListItem) => !s.parent_session_id))
}
} catch (e) {
console.error('Failed to load sessions:', e)
} finally {
setLoadingSessions(false)
}
}, [])
useEffect(() => { loadSessions() }, [loadSessions])
// ---- Group sessions by document_group_id ----
const groupedSessions = useCallback((): (SessionListItem | DocumentGroupView)[] => {
const groups = new Map<string, SessionListItem[]>()
const ungrouped: SessionListItem[] = []
for (const s of sessions) {
if (s.document_group_id) {
const existing = groups.get(s.document_group_id) || []
existing.push(s)
groups.set(s.document_group_id, existing)
} else {
ungrouped.push(s)
}
}
const result: (SessionListItem | DocumentGroupView)[] = []
// Sort groups by earliest created_at
const sortedGroups = Array.from(groups.entries()).sort((a, b) => {
const aTime = Math.min(...a[1].map(s => new Date(s.created_at).getTime()))
const bTime = Math.min(...b[1].map(s => new Date(s.created_at).getTime()))
return bTime - aTime
})
for (const [groupId, groupSessions] of sortedGroups) {
groupSessions.sort((a, b) => (a.page_number || 0) - (b.page_number || 0))
// Extract base title (remove " — S. X" suffix)
const baseName = groupSessions[0]?.name?.replace(/ — S\. \d+$/, '') || 'Dokument'
result.push({
group_id: groupId,
title: baseName,
sessions: groupSessions,
page_count: groupSessions.length,
})
}
for (const s of ungrouped) {
result.push(s)
}
// Sort by creation time (most recent first)
const getTime = (item: SessionListItem | DocumentGroupView): number => {
if ('group_id' in item) {
return Math.min(...item.sessions.map((s: SessionListItem) => new Date(s.created_at).getTime()))
}
return new Date(item.created_at).getTime()
}
result.sort((a, b) => getTime(b) - getTime(a))
return result
}, [sessions])
// ---- Open session ----
const openSession = useCallback(async (sid: string) => {
try {
const res = await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sid}`)
if (!res.ok) return
const data = await res.json()
setSessionId(sid)
setSessionName(data.name || data.filename || '')
setActiveCategory(data.document_category || undefined)
setIsGroundTruth(!!data.ground_truth?.build_grid_reference)
setPageNumber(data.grid_editor_result?.page_number?.number ?? null)
// Determine UI step from DB state
const dbStep = data.current_step || 1
const hasGrid = !!data.grid_editor_result
const hasStructure = !!data.structure_result
const hasWords = !!data.word_result
const hasGutterRepair = !!(data.ground_truth?.gutter_repair)
let uiStep: number
if (hasGrid && hasGutterRepair) {
uiStep = 10 // gutter-repair (already analysed)
} else if (hasGrid) {
uiStep = 9 // grid-review
} else if (hasStructure) {
uiStep = 8 // grid-build
} else if (hasWords) {
uiStep = 7 // structure
} else {
uiStep = dbStepToKombiV2Ui(dbStep)
}
// Sessions only exist after upload, so always skip the upload step
if (uiStep === 0) {
uiStep = 1
}
setSteps(
KOMBI_V2_STEPS.map((s, i) => ({
...s,
status: i < uiStep ? 'completed' : i === uiStep ? 'active' : 'pending',
})),
)
setCurrentStep(uiStep)
} catch (e) {
console.error('Failed to open session:', e)
}
}, [])
// ---- Deep link handling ----
useEffect(() => {
if (deepLinkHandled.current) return
const urlSession = searchParams.get('session')
const urlStep = searchParams.get('step')
if (urlSession) {
deepLinkHandled.current = true
openSession(urlSession).then(() => {
if (urlStep) {
const stepIdx = parseInt(urlStep, 10)
if (!isNaN(stepIdx) && stepIdx >= 0 && stepIdx < KOMBI_V2_STEPS.length) {
setCurrentStep(stepIdx)
}
}
})
}
}, [searchParams, openSession])
// ---- Step navigation ----
const goToStep = useCallback((step: number) => {
setCurrentStep(step)
setSteps(prev =>
prev.map((s, i) => ({
...s,
status: i < step ? 'completed' : i === step ? 'active' : 'pending',
})),
)
}, [])
const handleStepClick = useCallback((index: number) => {
if (index <= currentStep || steps[index].status === 'completed') {
setCurrentStep(index)
}
}, [currentStep, steps])
const handleNext = useCallback(() => {
if (currentStep >= steps.length - 1) {
// Last step → return to session list
setSteps(initSteps())
setCurrentStep(0)
setSessionId(null)
loadSessions()
return
}
const nextStep = currentStep + 1
setSteps(prev =>
prev.map((s, i) => {
if (i === currentStep) return { ...s, status: 'completed' }
if (i === nextStep) return { ...s, status: 'active' }
return s
}),
)
setCurrentStep(nextStep)
}, [currentStep, steps, loadSessions])
// ---- Session CRUD ----
const handleNewSession = useCallback(() => {
setSessionId(null)
setSessionName('')
setCurrentStep(0)
setSteps(initSteps())
}, [])
const deleteSession = useCallback(async (sid: string) => {
try {
await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sid}`, { method: 'DELETE' })
setSessions(prev => prev.filter(s => s.id !== sid))
if (sessionId === sid) handleNewSession()
} catch (e) {
console.error('Failed to delete session:', e)
}
}, [sessionId, handleNewSession])
const renameSession = useCallback(async (sid: string, newName: string) => {
try {
await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sid}`, {
method: 'PUT',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ name: newName }),
})
setSessions(prev => prev.map(s => s.id === sid ? { ...s, name: newName } : s))
if (sessionId === sid) setSessionName(newName)
} catch (e) {
console.error('Failed to rename session:', e)
}
}, [sessionId])
const updateCategory = useCallback(async (sid: string, category: DocumentCategory) => {
try {
await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sid}`, {
method: 'PUT',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ document_category: category }),
})
setSessions(prev => prev.map(s => s.id === sid ? { ...s, document_category: category } : s))
if (sessionId === sid) setActiveCategory(category)
} catch (e) {
console.error('Failed to update category:', e)
}
}, [sessionId])
return {
// State
currentStep,
sessionId,
sessionName,
sessions,
loadingSessions,
activeCategory,
isGroundTruth,
pageNumber,
steps,
gridSaveRef,
// Computed
groupedSessions,
// Actions
loadSessions,
openSession,
goToStep,
handleStepClick,
handleNext,
handleNewSession,
deleteSession,
renameSession,
updateCategory,
setSessionId,
setSessionName,
setIsGroundTruth,
}
}

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'use client'
/**
* Export tab: export training data in various formats.
*/
import { useState } from 'react'
import Link from 'next/link'
import { API_BASE } from '../constants'
import type { OCRSession, OCRStats } from '../types'
interface ExportTabProps {
sessions: OCRSession[]
selectedSession: string | null
setSelectedSession: (id: string | null) => void
stats: OCRStats | null
setError: (error: string | null) => void
}
export function ExportTab({
sessions,
selectedSession,
setSelectedSession,
stats,
setError,
}: ExportTabProps) {
const [exportFormat, setExportFormat] = useState<'generic' | 'trocr' | 'llama_vision'>('generic')
const [exporting, setExporting] = useState(false)
const [exportResult, setExportResult] = useState<{
exported_count: number
batch_id: string
samples?: Array<Record<string, unknown>>
} | null>(null)
const handleExport = async () => {
setExporting(true)
try {
const res = await fetch(`${API_BASE}/api/v1/ocr-label/export`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
export_format: exportFormat,
session_id: selectedSession,
}),
})
if (res.ok) {
const data = await res.json()
setExportResult(data)
} else {
setError('Export fehlgeschlagen')
}
} catch {
setError('Netzwerkfehler')
} finally {
setExporting(false)
}
}
return (
<div className="space-y-6">
<div className="bg-white rounded-lg shadow p-6">
<h3 className="text-lg font-semibold mb-4">Training-Daten exportieren</h3>
<div className="space-y-4">
<div>
<label className="block text-sm font-medium text-slate-700 mb-1">Export-Format</label>
<select
value={exportFormat}
onChange={(e) => setExportFormat(e.target.value as typeof exportFormat)}
className="w-full px-3 py-2 border border-slate-300 rounded-lg focus:ring-2 focus:ring-primary-500"
>
<option value="generic">Generic JSON</option>
<option value="trocr">TrOCR Fine-Tuning</option>
<option value="llama_vision">Llama Vision Fine-Tuning</option>
</select>
</div>
<div>
<label className="block text-sm font-medium text-slate-700 mb-1">Session (optional)</label>
<select
value={selectedSession || ''}
onChange={(e) => setSelectedSession(e.target.value || null)}
className="w-full px-3 py-2 border border-slate-300 rounded-lg focus:ring-2 focus:ring-primary-500"
>
<option value="">Alle Sessions</option>
{sessions.map((session) => (
<option key={session.id} value={session.id}>{session.name}</option>
))}
</select>
</div>
<button
onClick={handleExport}
disabled={exporting || (stats?.exportable_items || 0) === 0}
className="w-full px-4 py-2 bg-primary-600 text-white rounded-lg hover:bg-primary-700 disabled:opacity-50"
>
{exporting ? 'Exportiere...' : `${stats?.exportable_items || 0} Samples exportieren`}
</button>
{/* Cross-Link to Magic Help for TrOCR Fine-Tuning */}
{exportFormat === 'trocr' && (stats?.exportable_items || 0) > 0 && (
<Link
href="/ai/magic-help?source=ocr-labeling"
className="w-full mt-3 px-4 py-2 bg-purple-100 text-purple-700 border border-purple-300 rounded-lg hover:bg-purple-200 flex items-center justify-center gap-2 transition-colors"
>
<span></span>
Mit Magic Help testen & fine-tunen
</Link>
)}
</div>
</div>
{exportResult && (
<div className="bg-white rounded-lg shadow p-6">
<h3 className="text-lg font-semibold mb-4">Export-Ergebnis</h3>
<div className="bg-green-50 border border-green-200 rounded-lg p-4 mb-4">
<p className="text-green-800">
{exportResult.exported_count} Samples erfolgreich exportiert
</p>
<p className="text-sm text-green-600">
Batch: {exportResult.batch_id}
</p>
</div>
<div className="bg-slate-50 p-4 rounded-lg overflow-auto max-h-64">
<pre className="text-xs">{JSON.stringify(exportResult.samples?.slice(0, 3), null, 2)}</pre>
{(exportResult.samples?.length || 0) > 3 && (
<p className="text-slate-500 mt-2">... und {(exportResult.samples?.length ?? 0) - 3} weitere</p>
)}
</div>
</div>
)}
</div>
)
}

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'use client'
/**
* Labeling tab: image viewer, OCR text, correction input, and queue preview.
*/
import { API_BASE } from '../constants'
import type { OCRItem } from '../types'
interface LabelingTabProps {
queue: OCRItem[]
currentItem: OCRItem | null
currentIndex: number
correctedText: string
setCorrectedText: (text: string) => void
goToNext: () => void
goToPrev: () => void
selectQueueItem: (idx: number) => void
confirmItem: () => void
correctItem: () => void
skipItem: () => void
}
export function LabelingTab({
queue,
currentItem,
currentIndex,
correctedText,
setCorrectedText,
goToNext,
goToPrev,
selectQueueItem,
confirmItem,
correctItem,
skipItem,
}: LabelingTabProps) {
return (
<div className="grid grid-cols-1 lg:grid-cols-3 gap-6">
{/* Left: Image Viewer */}
<div className="lg:col-span-2 bg-white rounded-lg shadow p-4">
<div className="flex items-center justify-between mb-4">
<h3 className="text-lg font-semibold">Bild</h3>
<div className="flex items-center gap-2">
<button
onClick={goToPrev}
disabled={currentIndex === 0}
className="p-2 rounded hover:bg-slate-100 disabled:opacity-50"
title="Zurueck (Pfeiltaste links)"
>
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M15 19l-7-7 7-7" />
</svg>
</button>
<span className="text-sm text-slate-600">
{currentIndex + 1} / {queue.length}
</span>
<button
onClick={goToNext}
disabled={currentIndex >= queue.length - 1}
className="p-2 rounded hover:bg-slate-100 disabled:opacity-50"
title="Weiter (Pfeiltaste rechts)"
>
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M9 5l7 7-7 7" />
</svg>
</button>
</div>
</div>
{currentItem ? (
<div className="relative bg-slate-100 rounded-lg overflow-hidden" style={{ minHeight: '400px' }}>
<img
src={currentItem.image_url || `${API_BASE}${currentItem.image_path}`}
alt="OCR Bild"
className="w-full h-auto max-h-[600px] object-contain"
onError={(e) => {
const target = e.target as HTMLImageElement
target.style.display = 'none'
}}
/>
</div>
) : (
<div className="flex items-center justify-center h-64 bg-slate-100 rounded-lg">
<p className="text-slate-500">Keine Bilder in der Warteschlange</p>
</div>
)}
</div>
{/* Right: OCR Text & Actions */}
<div className="bg-white rounded-lg shadow p-4">
<div className="space-y-4">
{/* OCR Result */}
<div>
<div className="flex items-center justify-between mb-2">
<h3 className="text-lg font-semibold">OCR-Ergebnis</h3>
{currentItem?.ocr_confidence && (
<span className={`text-sm px-2 py-1 rounded ${
currentItem.ocr_confidence > 0.8
? 'bg-green-100 text-green-800'
: currentItem.ocr_confidence > 0.5
? 'bg-yellow-100 text-yellow-800'
: 'bg-red-100 text-red-800'
}`}>
{Math.round(currentItem.ocr_confidence * 100)}% Konfidenz
</span>
)}
</div>
<div className="bg-slate-50 p-3 rounded-lg min-h-[100px] text-sm">
{currentItem?.ocr_text || <span className="text-slate-400">Kein OCR-Text</span>}
</div>
</div>
{/* Correction Input */}
<div>
<h3 className="text-lg font-semibold mb-2">Korrektur</h3>
<textarea
value={correctedText}
onChange={(e) => setCorrectedText(e.target.value)}
placeholder="Korrigierter Text..."
className="w-full h-32 p-3 border border-slate-200 rounded-lg focus:ring-2 focus:ring-primary-500 focus:border-transparent"
/>
</div>
{/* Actions */}
<div className="flex flex-col gap-2">
<button
onClick={confirmItem}
disabled={!currentItem}
className="w-full px-4 py-3 bg-green-600 text-white rounded-lg hover:bg-green-700 disabled:opacity-50 flex items-center justify-center gap-2"
>
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M5 13l4 4L19 7" />
</svg>
Korrekt (Enter)
</button>
<button
onClick={correctItem}
disabled={!currentItem || !correctedText.trim() || correctedText === currentItem?.ocr_text}
className="w-full px-4 py-3 bg-primary-600 text-white rounded-lg hover:bg-primary-700 disabled:opacity-50 flex items-center justify-center gap-2"
>
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M15.232 5.232l3.536 3.536m-2.036-5.036a2.5 2.5 0 113.536 3.536L6.5 21.036H3v-3.572L16.732 3.732z" />
</svg>
Korrektur speichern
</button>
<button
onClick={skipItem}
disabled={!currentItem}
className="w-full px-4 py-2 bg-slate-200 text-slate-700 rounded-lg hover:bg-slate-300 disabled:opacity-50 flex items-center justify-center gap-2"
>
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M13 5l7 7-7 7M5 5l7 7-7 7" />
</svg>
Ueberspringen (S)
</button>
</div>
{/* Keyboard Shortcuts */}
<div className="text-xs text-slate-500 mt-4">
<p className="font-medium mb-1">Tastaturkuerzel:</p>
<p>Enter = Bestaetigen | S = Ueberspringen</p>
<p>Pfeiltasten = Navigation</p>
</div>
</div>
</div>
{/* Bottom: Queue Preview */}
<div className="lg:col-span-3 bg-white rounded-lg shadow p-4">
<h3 className="text-lg font-semibold mb-4">Warteschlange ({queue.length} Items)</h3>
<div className="flex gap-2 overflow-x-auto pb-2">
{queue.slice(0, 10).map((item, idx) => (
<button
key={item.id}
onClick={() => selectQueueItem(idx)}
className={`flex-shrink-0 w-24 h-24 rounded-lg overflow-hidden border-2 ${
idx === currentIndex
? 'border-primary-500'
: 'border-transparent hover:border-slate-300'
}`}
>
<img
src={item.image_url || `${API_BASE}${item.image_path}`}
alt=""
className="w-full h-full object-cover"
/>
</button>
))}
{queue.length > 10 && (
<div className="flex-shrink-0 w-24 h-24 rounded-lg bg-slate-100 flex items-center justify-center text-slate-500">
+{queue.length - 10} mehr
</div>
)}
</div>
</div>
</div>
)
}

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'use client'
/**
* Sessions tab: create new sessions and list existing ones.
*/
import { useState } from 'react'
import { API_BASE } from '../constants'
import type { OCRSession, CreateSessionRequest, OCRModel } from '../types'
interface SessionsTabProps {
sessions: OCRSession[]
selectedSession: string | null
setSelectedSession: (id: string | null) => void
fetchSessions: () => Promise<void>
setError: (error: string | null) => void
}
export function SessionsTab({
sessions,
selectedSession,
setSelectedSession,
fetchSessions,
setError,
}: SessionsTabProps) {
const [newSession, setNewSession] = useState<CreateSessionRequest>({
name: '',
source_type: 'klausur',
description: '',
ocr_model: 'llama3.2-vision:11b',
})
const createSession = async () => {
try {
const res = await fetch(`${API_BASE}/api/v1/ocr-label/sessions`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(newSession),
})
if (res.ok) {
setNewSession({ name: '', source_type: 'klausur', description: '', ocr_model: 'llama3.2-vision:11b' })
fetchSessions()
} else {
setError('Session erstellen fehlgeschlagen')
}
} catch {
setError('Netzwerkfehler')
}
}
return (
<div className="space-y-6">
{/* Create Session */}
<div className="bg-white rounded-lg shadow p-6">
<h3 className="text-lg font-semibold mb-4">Neue Session erstellen</h3>
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
<div>
<label className="block text-sm font-medium text-slate-700 mb-1">Name</label>
<input
type="text"
value={newSession.name}
onChange={(e) => setNewSession(prev => ({ ...prev, name: e.target.value }))}
placeholder="z.B. Mathe Klausur Q1 2025"
className="w-full px-3 py-2 border border-slate-300 rounded-lg focus:ring-2 focus:ring-primary-500"
/>
</div>
<div>
<label className="block text-sm font-medium text-slate-700 mb-1">Typ</label>
<select
value={newSession.source_type}
onChange={(e) => setNewSession(prev => ({ ...prev, source_type: e.target.value as 'klausur' | 'handwriting_sample' | 'scan' }))}
className="w-full px-3 py-2 border border-slate-300 rounded-lg focus:ring-2 focus:ring-primary-500"
>
<option value="klausur">Klausur</option>
<option value="handwriting_sample">Handschriftprobe</option>
<option value="scan">Scan</option>
</select>
</div>
<div>
<label className="block text-sm font-medium text-slate-700 mb-1">OCR Modell</label>
<select
value={newSession.ocr_model}
onChange={(e) => setNewSession(prev => ({ ...prev, ocr_model: e.target.value as OCRModel }))}
className="w-full px-3 py-2 border border-slate-300 rounded-lg focus:ring-2 focus:ring-primary-500"
>
<option value="llama3.2-vision:11b">llama3.2-vision:11b - Vision LLM (Standard)</option>
<option value="trocr">TrOCR - Microsoft Transformer (schnell)</option>
<option value="paddleocr">PaddleOCR + LLM (4x schneller)</option>
<option value="donut">Donut - Document Understanding (strukturiert)</option>
</select>
<p className="mt-1 text-xs text-slate-500">
{newSession.ocr_model === 'paddleocr' && 'PaddleOCR erkennt Text schnell, LLM strukturiert die Ergebnisse.'}
{newSession.ocr_model === 'donut' && 'Speziell fuer Dokumente mit Tabellen und Formularen.'}
{newSession.ocr_model === 'trocr' && 'Schnelles Transformer-Modell fuer gedruckten Text.'}
{newSession.ocr_model === 'llama3.2-vision:11b' && 'Beste Qualitaet bei Handschrift, aber langsamer.'}
</p>
</div>
<div>
<label className="block text-sm font-medium text-slate-700 mb-1">Beschreibung</label>
<input
type="text"
value={newSession.description}
onChange={(e) => setNewSession(prev => ({ ...prev, description: e.target.value }))}
placeholder="Optional..."
className="w-full px-3 py-2 border border-slate-300 rounded-lg focus:ring-2 focus:ring-primary-500"
/>
</div>
</div>
<button
onClick={createSession}
disabled={!newSession.name}
className="mt-4 px-4 py-2 bg-primary-600 text-white rounded-lg hover:bg-primary-700 disabled:opacity-50"
>
Session erstellen
</button>
</div>
{/* Sessions List */}
<div className="bg-white rounded-lg shadow">
<div className="px-6 py-4 border-b border-slate-200">
<h3 className="text-lg font-semibold">Sessions ({sessions.length})</h3>
</div>
<div className="divide-y divide-slate-200">
{sessions.map((session) => (
<div
key={session.id}
className={`p-4 hover:bg-slate-50 cursor-pointer ${
selectedSession === session.id ? 'bg-primary-50 border-l-4 border-primary-500' : ''
}`}
onClick={() => setSelectedSession(session.id === selectedSession ? null : session.id)}
>
<div className="flex items-center justify-between">
<div>
<h4 className="font-medium">{session.name}</h4>
<p className="text-sm text-slate-500">
{session.source_type} | {session.ocr_model}
</p>
</div>
<div className="text-right">
<p className="text-sm font-medium">
{session.labeled_items}/{session.total_items} gelabelt
</p>
<div className="w-32 bg-slate-200 rounded-full h-2 mt-1">
<div
className="bg-primary-600 rounded-full h-2"
style={{
width: `${session.total_items > 0 ? (session.labeled_items / session.total_items) * 100 : 0}%`
}}
/>
</div>
</div>
</div>
{session.description && (
<p className="text-sm text-slate-600 mt-2">{session.description}</p>
)}
</div>
))}
{sessions.length === 0 && (
<p className="p-4 text-slate-500 text-center">Keine Sessions vorhanden</p>
)}
</div>
</div>
</div>
)
}

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'use client'
/**
* Stats tab: global statistics, detailed breakdown, and progress bar.
*/
import type { OCRStats } from '../types'
interface StatsTabProps {
stats: OCRStats | null
}
export function StatsTab({ stats }: StatsTabProps) {
return (
<div className="space-y-6">
{/* Global Stats */}
<div className="grid grid-cols-1 md:grid-cols-4 gap-4">
<div className="bg-white rounded-lg shadow p-6">
<h4 className="text-sm font-medium text-slate-500">Gesamt Items</h4>
<p className="text-3xl font-bold mt-2">{stats?.total_items || 0}</p>
</div>
<div className="bg-white rounded-lg shadow p-6">
<h4 className="text-sm font-medium text-slate-500">Gelabelt</h4>
<p className="text-3xl font-bold mt-2 text-green-600">{stats?.labeled_items || 0}</p>
</div>
<div className="bg-white rounded-lg shadow p-6">
<h4 className="text-sm font-medium text-slate-500">Ausstehend</h4>
<p className="text-3xl font-bold mt-2 text-yellow-600">{stats?.pending_items || 0}</p>
</div>
<div className="bg-white rounded-lg shadow p-6">
<h4 className="text-sm font-medium text-slate-500">OCR-Genauigkeit</h4>
<p className="text-3xl font-bold mt-2">{stats?.accuracy_rate || 0}%</p>
</div>
</div>
{/* Detailed Stats */}
<div className="bg-white rounded-lg shadow p-6">
<h3 className="text-lg font-semibold mb-4">Details</h3>
<div className="grid grid-cols-2 md:grid-cols-4 gap-4">
<div>
<p className="text-sm text-slate-500">Bestaetigt</p>
<p className="text-xl font-semibold text-green-600">{stats?.confirmed_items || 0}</p>
</div>
<div>
<p className="text-sm text-slate-500">Korrigiert</p>
<p className="text-xl font-semibold text-primary-600">{stats?.corrected_items || 0}</p>
</div>
<div>
<p className="text-sm text-slate-500">Exportierbar</p>
<p className="text-xl font-semibold">{stats?.exportable_items || 0}</p>
</div>
<div>
<p className="text-sm text-slate-500">Durchschn. Label-Zeit</p>
<p className="text-xl font-semibold">{stats?.avg_label_time_seconds || 0}s</p>
</div>
</div>
</div>
{/* Progress Bar */}
{stats?.total_items ? (
<div className="bg-white rounded-lg shadow p-6">
<h3 className="text-lg font-semibold mb-4">Fortschritt</h3>
<div className="w-full bg-slate-200 rounded-full h-4">
<div
className="bg-primary-600 rounded-full h-4 transition-all"
style={{ width: `${(stats.labeled_items / stats.total_items) * 100}%` }}
/>
</div>
<p className="text-sm text-slate-500 mt-2">
{Math.round((stats.labeled_items / stats.total_items) * 100)}% abgeschlossen
</p>
</div>
) : null}
</div>
)
}

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@@ -0,0 +1,160 @@
'use client'
/**
* Upload tab: session selection, drag-and-drop upload, and upload results.
*/
import { useState, useRef } from 'react'
import { API_BASE } from '../constants'
import type { OCRSession, UploadResult } from '../types'
interface UploadTabProps {
sessions: OCRSession[]
selectedSession: string | null
setSelectedSession: (id: string | null) => void
fetchQueue: () => Promise<void>
fetchStats: () => Promise<void>
setError: (error: string | null) => void
}
export function UploadTab({
sessions,
selectedSession,
setSelectedSession,
fetchQueue,
fetchStats,
setError,
}: UploadTabProps) {
const [uploading, setUploading] = useState(false)
const [uploadResults, setUploadResults] = useState<UploadResult[]>([])
const fileInputRef = useRef<HTMLInputElement>(null)
const handleUpload = async (files: FileList) => {
if (!selectedSession) {
setError('Bitte zuerst eine Session auswaehlen')
return
}
setUploading(true)
const formData = new FormData()
Array.from(files).forEach(file => formData.append('files', file))
formData.append('run_ocr', 'true')
try {
const res = await fetch(`${API_BASE}/api/v1/ocr-label/sessions/${selectedSession}/upload`, {
method: 'POST',
body: formData,
})
if (res.ok) {
const data = await res.json()
setUploadResults(data.items || [])
fetchQueue()
fetchStats()
} else {
setError('Upload fehlgeschlagen')
}
} catch {
setError('Netzwerkfehler beim Upload')
} finally {
setUploading(false)
}
}
return (
<div className="space-y-6">
{/* Session Selection */}
<div className="bg-white rounded-lg shadow p-6">
<h3 className="text-lg font-semibold mb-4">Session auswaehlen</h3>
<select
value={selectedSession || ''}
onChange={(e) => setSelectedSession(e.target.value || null)}
className="w-full px-3 py-2 border border-slate-300 rounded-lg focus:ring-2 focus:ring-primary-500"
>
<option value="">-- Session waehlen --</option>
{sessions.map((session) => (
<option key={session.id} value={session.id}>
{session.name} ({session.total_items} Items)
</option>
))}
</select>
</div>
{/* Upload Area */}
<div className="bg-white rounded-lg shadow p-6">
<h3 className="text-lg font-semibold mb-4">Bilder hochladen</h3>
<div
className={`border-2 border-dashed rounded-lg p-8 text-center ${
selectedSession ? 'border-slate-300 hover:border-primary-500' : 'border-slate-200 opacity-50'
}`}
onDragOver={(e) => {
e.preventDefault()
e.currentTarget.classList.add('border-primary-500', 'bg-primary-50')
}}
onDragLeave={(e) => {
e.currentTarget.classList.remove('border-primary-500', 'bg-primary-50')
}}
onDrop={(e) => {
e.preventDefault()
e.currentTarget.classList.remove('border-primary-500', 'bg-primary-50')
if (e.dataTransfer.files.length > 0) {
handleUpload(e.dataTransfer.files)
}
}}
>
<input
ref={fileInputRef}
type="file"
multiple
accept="image/png,image/jpeg,image/jpg"
onChange={(e) => e.target.files && handleUpload(e.target.files)}
className="hidden"
disabled={!selectedSession}
/>
{uploading ? (
<div className="flex flex-col items-center gap-2">
<div className="animate-spin rounded-full h-8 w-8 border-b-2 border-primary-600" />
<p>Hochladen & OCR ausfuehren...</p>
</div>
) : (
<>
<svg className="w-12 h-12 text-slate-400 mx-auto mb-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M4 16l4.586-4.586a2 2 0 012.828 0L16 16m-2-2l1.586-1.586a2 2 0 012.828 0L20 14m-6-6h.01M6 20h12a2 2 0 002-2V6a2 2 0 00-2-2H6a2 2 0 00-2 2v12a2 2 0 002 2z" />
</svg>
<p className="text-slate-600 mb-2">
Bilder hierher ziehen oder{' '}
<button
onClick={() => fileInputRef.current?.click()}
disabled={!selectedSession}
className="text-primary-600 hover:underline"
>
auswaehlen
</button>
</p>
<p className="text-sm text-slate-500">PNG, JPG (max. 10MB pro Bild)</p>
</>
)}
</div>
</div>
{/* Upload Results */}
{uploadResults.length > 0 && (
<div className="bg-white rounded-lg shadow p-6">
<h3 className="text-lg font-semibold mb-4">Upload-Ergebnisse ({uploadResults.length})</h3>
<div className="space-y-2">
{uploadResults.map((result) => (
<div key={result.id} className="flex items-center justify-between p-2 bg-slate-50 rounded">
<span className="text-sm">{result.filename}</span>
<span className={`text-xs px-2 py-1 rounded ${
result.ocr_text ? 'bg-green-100 text-green-800' : 'bg-yellow-100 text-yellow-800'
}`}>
{result.ocr_text ? `OCR OK (${Math.round((result.ocr_confidence || 0) * 100)}%)` : 'Kein OCR'}
</span>
</div>
))}
</div>
</div>
)}
</div>
)
}

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@@ -0,0 +1,59 @@
/**
* Constants and tab definitions for OCR Labeling page.
*/
import type { JSX } from 'react'
// API Base URL for klausur-service
export const API_BASE = process.env.NEXT_PUBLIC_KLAUSUR_SERVICE_URL || 'http://localhost:8086'
// Tab definitions
export type TabId = 'labeling' | 'sessions' | 'upload' | 'stats' | 'export'
export const tabs: { id: TabId; name: string; icon: JSX.Element }[] = [
{
id: 'labeling',
name: 'Labeling',
icon: (
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M15.232 5.232l3.536 3.536m-2.036-5.036a2.5 2.5 0 113.536 3.536L6.5 21.036H3v-3.572L16.732 3.732z" />
</svg>
),
},
{
id: 'sessions',
name: 'Sessions',
icon: (
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 11H5m14 0a2 2 0 012 2v6a2 2 0 01-2 2H5a2 2 0 01-2-2v-6a2 2 0 012-2m14 0V9a2 2 0 00-2-2M5 11V9a2 2 0 012-2m0 0V5a2 2 0 012-2h6a2 2 0 012 2v2M7 7h10" />
</svg>
),
},
{
id: 'upload',
name: 'Upload',
icon: (
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M4 16v1a3 3 0 003 3h10a3 3 0 003-3v-1m-4-8l-4-4m0 0L8 8m4-4v12" />
</svg>
),
},
{
id: 'stats',
name: 'Statistiken',
icon: (
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M9 19v-6a2 2 0 00-2-2H5a2 2 0 00-2 2v6a2 2 0 002 2h2a2 2 0 002-2zm0 0V9a2 2 0 012-2h2a2 2 0 012 2v10m-6 0a2 2 0 002 2h2a2 2 0 002-2m0 0V5a2 2 0 012-2h2a2 2 0 012 2v14a2 2 0 01-2 2h-2a2 2 0 01-2-2z" />
</svg>
),
},
{
id: 'export',
name: 'Export',
icon: (
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M4 16v1a3 3 0 003 3h10a3 3 0 003-3v-1m-4-4l-4 4m0 0l-4-4m4 4V4" />
</svg>
),
},
]

View File

@@ -10,903 +10,20 @@
* OCR-Labeling → RAG Pipeline → Daten & RAG
*/
import { useState, useEffect, useCallback, useRef } from 'react'
import Link from 'next/link'
import { useState } from 'react'
import { PagePurpose } from '@/components/common/PagePurpose'
import { AIModuleSidebarResponsive } from '@/components/ai/AIModuleSidebar'
import type {
OCRSession,
OCRItem,
OCRStats,
TrainingSample,
CreateSessionRequest,
OCRModel,
} from './types'
// API Base URL for klausur-service
const API_BASE = process.env.NEXT_PUBLIC_KLAUSUR_SERVICE_URL || 'http://localhost:8086'
// Tab definitions
type TabId = 'labeling' | 'sessions' | 'upload' | 'stats' | 'export'
const tabs: { id: TabId; name: string; icon: JSX.Element }[] = [
{
id: 'labeling',
name: 'Labeling',
icon: (
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M15.232 5.232l3.536 3.536m-2.036-5.036a2.5 2.5 0 113.536 3.536L6.5 21.036H3v-3.572L16.732 3.732z" />
</svg>
),
},
{
id: 'sessions',
name: 'Sessions',
icon: (
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 11H5m14 0a2 2 0 012 2v6a2 2 0 01-2 2H5a2 2 0 01-2-2v-6a2 2 0 012-2m14 0V9a2 2 0 00-2-2M5 11V9a2 2 0 012-2m0 0V5a2 2 0 012-2h6a2 2 0 012 2v2M7 7h10" />
</svg>
),
},
{
id: 'upload',
name: 'Upload',
icon: (
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M4 16v1a3 3 0 003 3h10a3 3 0 003-3v-1m-4-8l-4-4m0 0L8 8m4-4v12" />
</svg>
),
},
{
id: 'stats',
name: 'Statistiken',
icon: (
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M9 19v-6a2 2 0 00-2-2H5a2 2 0 00-2 2v6a2 2 0 002 2h2a2 2 0 002-2zm0 0V9a2 2 0 012-2h2a2 2 0 012 2v10m-6 0a2 2 0 002 2h2a2 2 0 002-2m0 0V5a2 2 0 012-2h2a2 2 0 012 2v14a2 2 0 01-2 2h-2a2 2 0 01-2-2z" />
</svg>
),
},
{
id: 'export',
name: 'Export',
icon: (
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M4 16v1a3 3 0 003 3h10a3 3 0 003-3v-1m-4-4l-4 4m0 0l-4-4m4 4V4" />
</svg>
),
},
]
import { tabs, type TabId } from './constants'
import { useOcrLabeling } from './useOcrLabeling'
import { LabelingTab } from './_components/LabelingTab'
import { SessionsTab } from './_components/SessionsTab'
import { UploadTab } from './_components/UploadTab'
import { StatsTab } from './_components/StatsTab'
import { ExportTab } from './_components/ExportTab'
export default function OCRLabelingPage() {
const [activeTab, setActiveTab] = useState<TabId>('labeling')
const [sessions, setSessions] = useState<OCRSession[]>([])
const [selectedSession, setSelectedSession] = useState<string | null>(null)
const [queue, setQueue] = useState<OCRItem[]>([])
const [currentItem, setCurrentItem] = useState<OCRItem | null>(null)
const [currentIndex, setCurrentIndex] = useState(0)
const [stats, setStats] = useState<OCRStats | null>(null)
const [loading, setLoading] = useState(true)
const [error, setError] = useState<string | null>(null)
const [correctedText, setCorrectedText] = useState('')
const [labelStartTime, setLabelStartTime] = useState<number | null>(null)
// Fetch sessions
const fetchSessions = useCallback(async () => {
try {
const res = await fetch(`${API_BASE}/api/v1/ocr-label/sessions`)
if (res.ok) {
const data = await res.json()
setSessions(data)
}
} catch (err) {
console.error('Failed to fetch sessions:', err)
}
}, [])
// Fetch queue
const fetchQueue = useCallback(async () => {
try {
const url = selectedSession
? `${API_BASE}/api/v1/ocr-label/queue?session_id=${selectedSession}&limit=20`
: `${API_BASE}/api/v1/ocr-label/queue?limit=20`
const res = await fetch(url)
if (res.ok) {
const data = await res.json()
setQueue(data)
if (data.length > 0 && !currentItem) {
setCurrentItem(data[0])
setCurrentIndex(0)
setCorrectedText(data[0].ocr_text || '')
setLabelStartTime(Date.now())
}
}
} catch (err) {
console.error('Failed to fetch queue:', err)
}
}, [selectedSession, currentItem])
// Fetch stats
const fetchStats = useCallback(async () => {
try {
const url = selectedSession
? `${API_BASE}/api/v1/ocr-label/stats?session_id=${selectedSession}`
: `${API_BASE}/api/v1/ocr-label/stats`
const res = await fetch(url)
if (res.ok) {
const data = await res.json()
setStats(data)
}
} catch (err) {
console.error('Failed to fetch stats:', err)
}
}, [selectedSession])
// Initial data load
useEffect(() => {
const loadData = async () => {
setLoading(true)
await Promise.all([fetchSessions(), fetchQueue(), fetchStats()])
setLoading(false)
}
loadData()
}, [fetchSessions, fetchQueue, fetchStats])
// Refresh queue when session changes
useEffect(() => {
setCurrentItem(null)
setCurrentIndex(0)
fetchQueue()
fetchStats()
}, [selectedSession, fetchQueue, fetchStats])
// Navigate to next item
const goToNext = () => {
if (currentIndex < queue.length - 1) {
const nextIndex = currentIndex + 1
setCurrentIndex(nextIndex)
setCurrentItem(queue[nextIndex])
setCorrectedText(queue[nextIndex].ocr_text || '')
setLabelStartTime(Date.now())
} else {
// Refresh queue
fetchQueue()
}
}
// Navigate to previous item
const goToPrev = () => {
if (currentIndex > 0) {
const prevIndex = currentIndex - 1
setCurrentIndex(prevIndex)
setCurrentItem(queue[prevIndex])
setCorrectedText(queue[prevIndex].ocr_text || '')
setLabelStartTime(Date.now())
}
}
// Calculate label time
const getLabelTime = (): number | undefined => {
if (!labelStartTime) return undefined
return Math.round((Date.now() - labelStartTime) / 1000)
}
// Confirm item
const confirmItem = async () => {
if (!currentItem) return
try {
const res = await fetch(`${API_BASE}/api/v1/ocr-label/confirm`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
item_id: currentItem.id,
label_time_seconds: getLabelTime(),
}),
})
if (res.ok) {
// Remove from queue and go to next
setQueue(prev => prev.filter(item => item.id !== currentItem.id))
goToNext()
fetchStats()
} else {
setError('Bestaetigung fehlgeschlagen')
}
} catch (err) {
setError('Netzwerkfehler')
}
}
// Correct item
const correctItem = async () => {
if (!currentItem || !correctedText.trim()) return
try {
const res = await fetch(`${API_BASE}/api/v1/ocr-label/correct`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
item_id: currentItem.id,
ground_truth: correctedText.trim(),
label_time_seconds: getLabelTime(),
}),
})
if (res.ok) {
setQueue(prev => prev.filter(item => item.id !== currentItem.id))
goToNext()
fetchStats()
} else {
setError('Korrektur fehlgeschlagen')
}
} catch (err) {
setError('Netzwerkfehler')
}
}
// Skip item
const skipItem = async () => {
if (!currentItem) return
try {
const res = await fetch(`${API_BASE}/api/v1/ocr-label/skip`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ item_id: currentItem.id }),
})
if (res.ok) {
setQueue(prev => prev.filter(item => item.id !== currentItem.id))
goToNext()
fetchStats()
} else {
setError('Ueberspringen fehlgeschlagen')
}
} catch (err) {
setError('Netzwerkfehler')
}
}
// Keyboard shortcuts
useEffect(() => {
const handleKeyDown = (e: KeyboardEvent) => {
// Only handle if not in text input
if (e.target instanceof HTMLTextAreaElement) return
if (e.key === 'Enter' && !e.shiftKey) {
e.preventDefault()
confirmItem()
} else if (e.key === 'ArrowRight') {
goToNext()
} else if (e.key === 'ArrowLeft') {
goToPrev()
} else if (e.key === 's' && !e.ctrlKey && !e.metaKey) {
skipItem()
}
}
window.addEventListener('keydown', handleKeyDown)
return () => window.removeEventListener('keydown', handleKeyDown)
}, [currentItem, correctedText])
// Render Labeling Tab
const renderLabelingTab = () => (
<div className="grid grid-cols-1 lg:grid-cols-3 gap-6">
{/* Left: Image Viewer */}
<div className="lg:col-span-2 bg-white rounded-lg shadow p-4">
<div className="flex items-center justify-between mb-4">
<h3 className="text-lg font-semibold">Bild</h3>
<div className="flex items-center gap-2">
<button
onClick={goToPrev}
disabled={currentIndex === 0}
className="p-2 rounded hover:bg-slate-100 disabled:opacity-50"
title="Zurueck (Pfeiltaste links)"
>
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M15 19l-7-7 7-7" />
</svg>
</button>
<span className="text-sm text-slate-600">
{currentIndex + 1} / {queue.length}
</span>
<button
onClick={goToNext}
disabled={currentIndex >= queue.length - 1}
className="p-2 rounded hover:bg-slate-100 disabled:opacity-50"
title="Weiter (Pfeiltaste rechts)"
>
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M9 5l7 7-7 7" />
</svg>
</button>
</div>
</div>
{currentItem ? (
<div className="relative bg-slate-100 rounded-lg overflow-hidden" style={{ minHeight: '400px' }}>
<img
src={currentItem.image_url || `${API_BASE}${currentItem.image_path}`}
alt="OCR Bild"
className="w-full h-auto max-h-[600px] object-contain"
onError={(e) => {
// Fallback if image fails to load
const target = e.target as HTMLImageElement
target.style.display = 'none'
}}
/>
</div>
) : (
<div className="flex items-center justify-center h-64 bg-slate-100 rounded-lg">
<p className="text-slate-500">Keine Bilder in der Warteschlange</p>
</div>
)}
</div>
{/* Right: OCR Text & Actions */}
<div className="bg-white rounded-lg shadow p-4">
<div className="space-y-4">
{/* OCR Result */}
<div>
<div className="flex items-center justify-between mb-2">
<h3 className="text-lg font-semibold">OCR-Ergebnis</h3>
{currentItem?.ocr_confidence && (
<span className={`text-sm px-2 py-1 rounded ${
currentItem.ocr_confidence > 0.8
? 'bg-green-100 text-green-800'
: currentItem.ocr_confidence > 0.5
? 'bg-yellow-100 text-yellow-800'
: 'bg-red-100 text-red-800'
}`}>
{Math.round(currentItem.ocr_confidence * 100)}% Konfidenz
</span>
)}
</div>
<div className="bg-slate-50 p-3 rounded-lg min-h-[100px] text-sm">
{currentItem?.ocr_text || <span className="text-slate-400">Kein OCR-Text</span>}
</div>
</div>
{/* Correction Input */}
<div>
<h3 className="text-lg font-semibold mb-2">Korrektur</h3>
<textarea
value={correctedText}
onChange={(e) => setCorrectedText(e.target.value)}
placeholder="Korrigierter Text..."
className="w-full h-32 p-3 border border-slate-200 rounded-lg focus:ring-2 focus:ring-primary-500 focus:border-transparent"
/>
</div>
{/* Actions */}
<div className="flex flex-col gap-2">
<button
onClick={confirmItem}
disabled={!currentItem}
className="w-full px-4 py-3 bg-green-600 text-white rounded-lg hover:bg-green-700 disabled:opacity-50 flex items-center justify-center gap-2"
>
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M5 13l4 4L19 7" />
</svg>
Korrekt (Enter)
</button>
<button
onClick={correctItem}
disabled={!currentItem || !correctedText.trim() || correctedText === currentItem?.ocr_text}
className="w-full px-4 py-3 bg-primary-600 text-white rounded-lg hover:bg-primary-700 disabled:opacity-50 flex items-center justify-center gap-2"
>
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M15.232 5.232l3.536 3.536m-2.036-5.036a2.5 2.5 0 113.536 3.536L6.5 21.036H3v-3.572L16.732 3.732z" />
</svg>
Korrektur speichern
</button>
<button
onClick={skipItem}
disabled={!currentItem}
className="w-full px-4 py-2 bg-slate-200 text-slate-700 rounded-lg hover:bg-slate-300 disabled:opacity-50 flex items-center justify-center gap-2"
>
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M13 5l7 7-7 7M5 5l7 7-7 7" />
</svg>
Ueberspringen (S)
</button>
</div>
{/* Keyboard Shortcuts */}
<div className="text-xs text-slate-500 mt-4">
<p className="font-medium mb-1">Tastaturkuerzel:</p>
<p>Enter = Bestaetigen | S = Ueberspringen</p>
<p>Pfeiltasten = Navigation</p>
</div>
</div>
</div>
{/* Bottom: Queue Preview */}
<div className="lg:col-span-3 bg-white rounded-lg shadow p-4">
<h3 className="text-lg font-semibold mb-4">Warteschlange ({queue.length} Items)</h3>
<div className="flex gap-2 overflow-x-auto pb-2">
{queue.slice(0, 10).map((item, idx) => (
<button
key={item.id}
onClick={() => {
setCurrentIndex(idx)
setCurrentItem(item)
setCorrectedText(item.ocr_text || '')
setLabelStartTime(Date.now())
}}
className={`flex-shrink-0 w-24 h-24 rounded-lg overflow-hidden border-2 ${
idx === currentIndex
? 'border-primary-500'
: 'border-transparent hover:border-slate-300'
}`}
>
<img
src={item.image_url || `${API_BASE}${item.image_path}`}
alt=""
className="w-full h-full object-cover"
/>
</button>
))}
{queue.length > 10 && (
<div className="flex-shrink-0 w-24 h-24 rounded-lg bg-slate-100 flex items-center justify-center text-slate-500">
+{queue.length - 10} mehr
</div>
)}
</div>
</div>
</div>
)
// Render Sessions Tab
const renderSessionsTab = () => {
const [newSession, setNewSession] = useState<CreateSessionRequest>({
name: '',
source_type: 'klausur',
description: '',
ocr_model: 'llama3.2-vision:11b',
})
const createSession = async () => {
try {
const res = await fetch(`${API_BASE}/api/v1/ocr-label/sessions`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(newSession),
})
if (res.ok) {
setNewSession({ name: '', source_type: 'klausur', description: '', ocr_model: 'llama3.2-vision:11b' })
fetchSessions()
} else {
setError('Session erstellen fehlgeschlagen')
}
} catch (err) {
setError('Netzwerkfehler')
}
}
return (
<div className="space-y-6">
{/* Create Session */}
<div className="bg-white rounded-lg shadow p-6">
<h3 className="text-lg font-semibold mb-4">Neue Session erstellen</h3>
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
<div>
<label className="block text-sm font-medium text-slate-700 mb-1">Name</label>
<input
type="text"
value={newSession.name}
onChange={(e) => setNewSession(prev => ({ ...prev, name: e.target.value }))}
placeholder="z.B. Mathe Klausur Q1 2025"
className="w-full px-3 py-2 border border-slate-300 rounded-lg focus:ring-2 focus:ring-primary-500"
/>
</div>
<div>
<label className="block text-sm font-medium text-slate-700 mb-1">Typ</label>
<select
value={newSession.source_type}
onChange={(e) => setNewSession(prev => ({ ...prev, source_type: e.target.value as 'klausur' | 'handwriting_sample' | 'scan' }))}
className="w-full px-3 py-2 border border-slate-300 rounded-lg focus:ring-2 focus:ring-primary-500"
>
<option value="klausur">Klausur</option>
<option value="handwriting_sample">Handschriftprobe</option>
<option value="scan">Scan</option>
</select>
</div>
<div>
<label className="block text-sm font-medium text-slate-700 mb-1">OCR Modell</label>
<select
value={newSession.ocr_model}
onChange={(e) => setNewSession(prev => ({ ...prev, ocr_model: e.target.value as OCRModel }))}
className="w-full px-3 py-2 border border-slate-300 rounded-lg focus:ring-2 focus:ring-primary-500"
>
<option value="llama3.2-vision:11b">llama3.2-vision:11b - Vision LLM (Standard)</option>
<option value="trocr">TrOCR - Microsoft Transformer (schnell)</option>
<option value="paddleocr">PaddleOCR + LLM (4x schneller)</option>
<option value="donut">Donut - Document Understanding (strukturiert)</option>
</select>
<p className="mt-1 text-xs text-slate-500">
{newSession.ocr_model === 'paddleocr' && 'PaddleOCR erkennt Text schnell, LLM strukturiert die Ergebnisse.'}
{newSession.ocr_model === 'donut' && 'Speziell fuer Dokumente mit Tabellen und Formularen.'}
{newSession.ocr_model === 'trocr' && 'Schnelles Transformer-Modell fuer gedruckten Text.'}
{newSession.ocr_model === 'llama3.2-vision:11b' && 'Beste Qualitaet bei Handschrift, aber langsamer.'}
</p>
</div>
<div>
<label className="block text-sm font-medium text-slate-700 mb-1">Beschreibung</label>
<input
type="text"
value={newSession.description}
onChange={(e) => setNewSession(prev => ({ ...prev, description: e.target.value }))}
placeholder="Optional..."
className="w-full px-3 py-2 border border-slate-300 rounded-lg focus:ring-2 focus:ring-primary-500"
/>
</div>
</div>
<button
onClick={createSession}
disabled={!newSession.name}
className="mt-4 px-4 py-2 bg-primary-600 text-white rounded-lg hover:bg-primary-700 disabled:opacity-50"
>
Session erstellen
</button>
</div>
{/* Sessions List */}
<div className="bg-white rounded-lg shadow">
<div className="px-6 py-4 border-b border-slate-200">
<h3 className="text-lg font-semibold">Sessions ({sessions.length})</h3>
</div>
<div className="divide-y divide-slate-200">
{sessions.map((session) => (
<div
key={session.id}
className={`p-4 hover:bg-slate-50 cursor-pointer ${
selectedSession === session.id ? 'bg-primary-50 border-l-4 border-primary-500' : ''
}`}
onClick={() => setSelectedSession(session.id === selectedSession ? null : session.id)}
>
<div className="flex items-center justify-between">
<div>
<h4 className="font-medium">{session.name}</h4>
<p className="text-sm text-slate-500">
{session.source_type} | {session.ocr_model}
</p>
</div>
<div className="text-right">
<p className="text-sm font-medium">
{session.labeled_items}/{session.total_items} gelabelt
</p>
<div className="w-32 bg-slate-200 rounded-full h-2 mt-1">
<div
className="bg-primary-600 rounded-full h-2"
style={{
width: `${session.total_items > 0 ? (session.labeled_items / session.total_items) * 100 : 0}%`
}}
/>
</div>
</div>
</div>
{session.description && (
<p className="text-sm text-slate-600 mt-2">{session.description}</p>
)}
</div>
))}
{sessions.length === 0 && (
<p className="p-4 text-slate-500 text-center">Keine Sessions vorhanden</p>
)}
</div>
</div>
</div>
)
}
// Render Upload Tab
const renderUploadTab = () => {
const [uploading, setUploading] = useState(false)
const [uploadResults, setUploadResults] = useState<any[]>([])
const fileInputRef = useRef<HTMLInputElement>(null)
const handleUpload = async (files: FileList) => {
if (!selectedSession) {
setError('Bitte zuerst eine Session auswaehlen')
return
}
setUploading(true)
const formData = new FormData()
Array.from(files).forEach(file => formData.append('files', file))
formData.append('run_ocr', 'true')
try {
const res = await fetch(`${API_BASE}/api/v1/ocr-label/sessions/${selectedSession}/upload`, {
method: 'POST',
body: formData,
})
if (res.ok) {
const data = await res.json()
setUploadResults(data.items || [])
fetchQueue()
fetchStats()
} else {
setError('Upload fehlgeschlagen')
}
} catch (err) {
setError('Netzwerkfehler beim Upload')
} finally {
setUploading(false)
}
}
return (
<div className="space-y-6">
{/* Session Selection */}
<div className="bg-white rounded-lg shadow p-6">
<h3 className="text-lg font-semibold mb-4">Session auswaehlen</h3>
<select
value={selectedSession || ''}
onChange={(e) => setSelectedSession(e.target.value || null)}
className="w-full px-3 py-2 border border-slate-300 rounded-lg focus:ring-2 focus:ring-primary-500"
>
<option value="">-- Session waehlen --</option>
{sessions.map((session) => (
<option key={session.id} value={session.id}>
{session.name} ({session.total_items} Items)
</option>
))}
</select>
</div>
{/* Upload Area */}
<div className="bg-white rounded-lg shadow p-6">
<h3 className="text-lg font-semibold mb-4">Bilder hochladen</h3>
<div
className={`border-2 border-dashed rounded-lg p-8 text-center ${
selectedSession ? 'border-slate-300 hover:border-primary-500' : 'border-slate-200 opacity-50'
}`}
onDragOver={(e) => {
e.preventDefault()
e.currentTarget.classList.add('border-primary-500', 'bg-primary-50')
}}
onDragLeave={(e) => {
e.currentTarget.classList.remove('border-primary-500', 'bg-primary-50')
}}
onDrop={(e) => {
e.preventDefault()
e.currentTarget.classList.remove('border-primary-500', 'bg-primary-50')
if (e.dataTransfer.files.length > 0) {
handleUpload(e.dataTransfer.files)
}
}}
>
<input
ref={fileInputRef}
type="file"
multiple
accept="image/png,image/jpeg,image/jpg"
onChange={(e) => e.target.files && handleUpload(e.target.files)}
className="hidden"
disabled={!selectedSession}
/>
{uploading ? (
<div className="flex flex-col items-center gap-2">
<div className="animate-spin rounded-full h-8 w-8 border-b-2 border-primary-600" />
<p>Hochladen & OCR ausfuehren...</p>
</div>
) : (
<>
<svg className="w-12 h-12 text-slate-400 mx-auto mb-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M4 16l4.586-4.586a2 2 0 012.828 0L16 16m-2-2l1.586-1.586a2 2 0 012.828 0L20 14m-6-6h.01M6 20h12a2 2 0 002-2V6a2 2 0 00-2-2H6a2 2 0 00-2 2v12a2 2 0 002 2z" />
</svg>
<p className="text-slate-600 mb-2">
Bilder hierher ziehen oder{' '}
<button
onClick={() => fileInputRef.current?.click()}
disabled={!selectedSession}
className="text-primary-600 hover:underline"
>
auswaehlen
</button>
</p>
<p className="text-sm text-slate-500">PNG, JPG (max. 10MB pro Bild)</p>
</>
)}
</div>
</div>
{/* Upload Results */}
{uploadResults.length > 0 && (
<div className="bg-white rounded-lg shadow p-6">
<h3 className="text-lg font-semibold mb-4">Upload-Ergebnisse ({uploadResults.length})</h3>
<div className="space-y-2">
{uploadResults.map((result) => (
<div key={result.id} className="flex items-center justify-between p-2 bg-slate-50 rounded">
<span className="text-sm">{result.filename}</span>
<span className={`text-xs px-2 py-1 rounded ${
result.ocr_text ? 'bg-green-100 text-green-800' : 'bg-yellow-100 text-yellow-800'
}`}>
{result.ocr_text ? `OCR OK (${Math.round((result.ocr_confidence || 0) * 100)}%)` : 'Kein OCR'}
</span>
</div>
))}
</div>
</div>
)}
</div>
)
}
// Render Stats Tab
const renderStatsTab = () => (
<div className="space-y-6">
{/* Global Stats */}
<div className="grid grid-cols-1 md:grid-cols-4 gap-4">
<div className="bg-white rounded-lg shadow p-6">
<h4 className="text-sm font-medium text-slate-500">Gesamt Items</h4>
<p className="text-3xl font-bold mt-2">{stats?.total_items || 0}</p>
</div>
<div className="bg-white rounded-lg shadow p-6">
<h4 className="text-sm font-medium text-slate-500">Gelabelt</h4>
<p className="text-3xl font-bold mt-2 text-green-600">{stats?.labeled_items || 0}</p>
</div>
<div className="bg-white rounded-lg shadow p-6">
<h4 className="text-sm font-medium text-slate-500">Ausstehend</h4>
<p className="text-3xl font-bold mt-2 text-yellow-600">{stats?.pending_items || 0}</p>
</div>
<div className="bg-white rounded-lg shadow p-6">
<h4 className="text-sm font-medium text-slate-500">OCR-Genauigkeit</h4>
<p className="text-3xl font-bold mt-2">{stats?.accuracy_rate || 0}%</p>
</div>
</div>
{/* Detailed Stats */}
<div className="bg-white rounded-lg shadow p-6">
<h3 className="text-lg font-semibold mb-4">Details</h3>
<div className="grid grid-cols-2 md:grid-cols-4 gap-4">
<div>
<p className="text-sm text-slate-500">Bestaetigt</p>
<p className="text-xl font-semibold text-green-600">{stats?.confirmed_items || 0}</p>
</div>
<div>
<p className="text-sm text-slate-500">Korrigiert</p>
<p className="text-xl font-semibold text-primary-600">{stats?.corrected_items || 0}</p>
</div>
<div>
<p className="text-sm text-slate-500">Exportierbar</p>
<p className="text-xl font-semibold">{stats?.exportable_items || 0}</p>
</div>
<div>
<p className="text-sm text-slate-500">Durchschn. Label-Zeit</p>
<p className="text-xl font-semibold">{stats?.avg_label_time_seconds || 0}s</p>
</div>
</div>
</div>
{/* Progress Bar */}
{stats?.total_items ? (
<div className="bg-white rounded-lg shadow p-6">
<h3 className="text-lg font-semibold mb-4">Fortschritt</h3>
<div className="w-full bg-slate-200 rounded-full h-4">
<div
className="bg-primary-600 rounded-full h-4 transition-all"
style={{ width: `${(stats.labeled_items / stats.total_items) * 100}%` }}
/>
</div>
<p className="text-sm text-slate-500 mt-2">
{Math.round((stats.labeled_items / stats.total_items) * 100)}% abgeschlossen
</p>
</div>
) : null}
</div>
)
// Render Export Tab
const renderExportTab = () => {
const [exportFormat, setExportFormat] = useState<'generic' | 'trocr' | 'llama_vision'>('generic')
const [exporting, setExporting] = useState(false)
const [exportResult, setExportResult] = useState<any>(null)
const handleExport = async () => {
setExporting(true)
try {
const res = await fetch(`${API_BASE}/api/v1/ocr-label/export`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
export_format: exportFormat,
session_id: selectedSession,
}),
})
if (res.ok) {
const data = await res.json()
setExportResult(data)
} else {
setError('Export fehlgeschlagen')
}
} catch (err) {
setError('Netzwerkfehler')
} finally {
setExporting(false)
}
}
return (
<div className="space-y-6">
<div className="bg-white rounded-lg shadow p-6">
<h3 className="text-lg font-semibold mb-4">Training-Daten exportieren</h3>
<div className="space-y-4">
<div>
<label className="block text-sm font-medium text-slate-700 mb-1">Export-Format</label>
<select
value={exportFormat}
onChange={(e) => setExportFormat(e.target.value as typeof exportFormat)}
className="w-full px-3 py-2 border border-slate-300 rounded-lg focus:ring-2 focus:ring-primary-500"
>
<option value="generic">Generic JSON</option>
<option value="trocr">TrOCR Fine-Tuning</option>
<option value="llama_vision">Llama Vision Fine-Tuning</option>
</select>
</div>
<div>
<label className="block text-sm font-medium text-slate-700 mb-1">Session (optional)</label>
<select
value={selectedSession || ''}
onChange={(e) => setSelectedSession(e.target.value || null)}
className="w-full px-3 py-2 border border-slate-300 rounded-lg focus:ring-2 focus:ring-primary-500"
>
<option value="">Alle Sessions</option>
{sessions.map((session) => (
<option key={session.id} value={session.id}>{session.name}</option>
))}
</select>
</div>
<button
onClick={handleExport}
disabled={exporting || (stats?.exportable_items || 0) === 0}
className="w-full px-4 py-2 bg-primary-600 text-white rounded-lg hover:bg-primary-700 disabled:opacity-50"
>
{exporting ? 'Exportiere...' : `${stats?.exportable_items || 0} Samples exportieren`}
</button>
{/* Cross-Link to Magic Help for TrOCR Fine-Tuning */}
{exportFormat === 'trocr' && (stats?.exportable_items || 0) > 0 && (
<Link
href="/ai/magic-help?source=ocr-labeling"
className="w-full mt-3 px-4 py-2 bg-purple-100 text-purple-700 border border-purple-300 rounded-lg hover:bg-purple-200 flex items-center justify-center gap-2 transition-colors"
>
<span></span>
Mit Magic Help testen & fine-tunen
</Link>
)}
</div>
</div>
{exportResult && (
<div className="bg-white rounded-lg shadow p-6">
<h3 className="text-lg font-semibold mb-4">Export-Ergebnis</h3>
<div className="bg-green-50 border border-green-200 rounded-lg p-4 mb-4">
<p className="text-green-800">
{exportResult.exported_count} Samples erfolgreich exportiert
</p>
<p className="text-sm text-green-600">
Batch: {exportResult.batch_id}
</p>
</div>
<div className="bg-slate-50 p-4 rounded-lg overflow-auto max-h-64">
<pre className="text-xs">{JSON.stringify(exportResult.samples?.slice(0, 3), null, 2)}</pre>
{(exportResult.samples?.length || 0) > 3 && (
<p className="text-slate-500 mt-2">... und {exportResult.samples.length - 3} weitere</p>
)}
</div>
</div>
)}
</div>
)
}
const hook = useOcrLabeling()
return (
<div className="p-6">
@@ -939,10 +56,10 @@ export default function OCRLabelingPage() {
<AIModuleSidebarResponsive currentModule="ocr-labeling" />
{/* Error Toast */}
{error && (
{hook.error && (
<div className="fixed top-4 right-4 bg-red-100 border border-red-400 text-red-700 px-4 py-3 rounded z-50">
<span>{error}</span>
<button onClick={() => setError(null)} className="ml-4">X</button>
<span>{hook.error}</span>
<button onClick={() => hook.setError(null)} className="ml-4">X</button>
</div>
)}
@@ -969,17 +86,58 @@ export default function OCRLabelingPage() {
</div>
{/* Tab Content */}
{loading ? (
{hook.loading ? (
<div className="flex items-center justify-center h-64">
<div className="animate-spin rounded-full h-8 w-8 border-b-2 border-primary-600" />
</div>
) : (
<>
{activeTab === 'labeling' && renderLabelingTab()}
{activeTab === 'sessions' && renderSessionsTab()}
{activeTab === 'upload' && renderUploadTab()}
{activeTab === 'stats' && renderStatsTab()}
{activeTab === 'export' && renderExportTab()}
{activeTab === 'labeling' && (
<LabelingTab
queue={hook.queue}
currentItem={hook.currentItem}
currentIndex={hook.currentIndex}
correctedText={hook.correctedText}
setCorrectedText={hook.setCorrectedText}
goToNext={hook.goToNext}
goToPrev={hook.goToPrev}
selectQueueItem={hook.selectQueueItem}
confirmItem={hook.confirmItem}
correctItem={hook.correctItem}
skipItem={hook.skipItem}
/>
)}
{activeTab === 'sessions' && (
<SessionsTab
sessions={hook.sessions}
selectedSession={hook.selectedSession}
setSelectedSession={hook.setSelectedSession}
fetchSessions={hook.fetchSessions}
setError={hook.setError}
/>
)}
{activeTab === 'upload' && (
<UploadTab
sessions={hook.sessions}
selectedSession={hook.selectedSession}
setSelectedSession={hook.setSelectedSession}
fetchQueue={hook.fetchQueue}
fetchStats={hook.fetchStats}
setError={hook.setError}
/>
)}
{activeTab === 'stats' && (
<StatsTab stats={hook.stats} />
)}
{activeTab === 'export' && (
<ExportTab
sessions={hook.sessions}
selectedSession={hook.selectedSession}
setSelectedSession={hook.setSelectedSession}
stats={hook.stats}
setError={hook.setError}
/>
)}
</>
)}
</div>

View File

@@ -1,123 +1 @@
/**
* TypeScript types for OCR Labeling UI
*/
/**
* Available OCR Models
*
* - llama3.2-vision:11b: Vision LLM, beste Qualitaet bei Handschrift (Standard)
* - trocr: Microsoft TrOCR, schnell bei gedrucktem Text
* - paddleocr: PaddleOCR + LLM, 4x schneller durch Hybrid-Ansatz
* - donut: Document Understanding Transformer, strukturierte Dokumente
*/
export type OCRModel = 'llama3.2-vision:11b' | 'trocr' | 'paddleocr' | 'donut'
export const OCR_MODEL_INFO: Record<OCRModel, { label: string; description: string; speed: string }> = {
'llama3.2-vision:11b': {
label: 'Vision LLM',
description: 'Beste Qualitaet bei Handschrift',
speed: 'langsam',
},
trocr: {
label: 'Microsoft TrOCR',
description: 'Schnell bei gedrucktem Text',
speed: 'schnell',
},
paddleocr: {
label: 'PaddleOCR + LLM',
description: 'Hybrid-Ansatz: OCR + Strukturierung',
speed: 'sehr schnell',
},
donut: {
label: 'Donut',
description: 'Document Understanding fuer Tabellen/Formulare',
speed: 'mittel',
},
}
export interface OCRSession {
id: string
name: string
source_type: 'klausur' | 'handwriting_sample' | 'scan'
description?: string
ocr_model?: OCRModel
total_items: number
labeled_items: number
confirmed_items: number
corrected_items: number
skipped_items: number
created_at: string
}
export interface OCRItem {
id: string
session_id: string
session_name: string
image_path: string
image_url?: string
ocr_text?: string
ocr_confidence?: number
ground_truth?: string
status: 'pending' | 'confirmed' | 'corrected' | 'skipped'
metadata?: Record<string, unknown>
created_at: string
}
export interface OCRStats {
total_sessions?: number
session_id?: string
name?: string
total_items: number
labeled_items: number
confirmed_items: number
corrected_items: number
skipped_items?: number
pending_items: number
exportable_items?: number
accuracy_rate: number
avg_label_time_seconds?: number
progress_percent?: number
}
export interface TrainingSample {
id: string
image_path: string
ground_truth: string
export_format: 'generic' | 'trocr' | 'llama_vision'
training_batch: string
exported_at?: string
}
export interface CreateSessionRequest {
name: string
source_type: 'klausur' | 'handwriting_sample' | 'scan'
description?: string
ocr_model?: OCRModel
}
export interface ConfirmRequest {
item_id: string
label_time_seconds?: number
}
export interface CorrectRequest {
item_id: string
ground_truth: string
label_time_seconds?: number
}
export interface ExportRequest {
export_format: 'generic' | 'trocr' | 'llama_vision'
session_id?: string
batch_id?: string
}
export interface UploadResult {
id: string
filename: string
image_path: string
image_hash: string
ocr_text?: string
ocr_confidence?: number
status: string
}
export * from '@shared/types/ocr-labeling'

View File

@@ -0,0 +1,255 @@
'use client'
/**
* Custom hook encapsulating all state and API logic for the OCR Labeling page.
*/
import { useState, useEffect, useCallback } from 'react'
import { API_BASE } from './constants'
import type { OCRSession, OCRItem, OCRStats } from './types'
export function useOcrLabeling() {
const [sessions, setSessions] = useState<OCRSession[]>([])
const [selectedSession, setSelectedSession] = useState<string | null>(null)
const [queue, setQueue] = useState<OCRItem[]>([])
const [currentItem, setCurrentItem] = useState<OCRItem | null>(null)
const [currentIndex, setCurrentIndex] = useState(0)
const [stats, setStats] = useState<OCRStats | null>(null)
const [loading, setLoading] = useState(true)
const [error, setError] = useState<string | null>(null)
const [correctedText, setCorrectedText] = useState('')
const [labelStartTime, setLabelStartTime] = useState<number | null>(null)
// Fetch sessions
const fetchSessions = useCallback(async () => {
try {
const res = await fetch(`${API_BASE}/api/v1/ocr-label/sessions`)
if (res.ok) {
const data = await res.json()
setSessions(data)
}
} catch (err) {
console.error('Failed to fetch sessions:', err)
}
}, [])
// Fetch queue
const fetchQueue = useCallback(async () => {
try {
const url = selectedSession
? `${API_BASE}/api/v1/ocr-label/queue?session_id=${selectedSession}&limit=20`
: `${API_BASE}/api/v1/ocr-label/queue?limit=20`
const res = await fetch(url)
if (res.ok) {
const data = await res.json()
setQueue(data)
if (data.length > 0 && !currentItem) {
setCurrentItem(data[0])
setCurrentIndex(0)
setCorrectedText(data[0].ocr_text || '')
setLabelStartTime(Date.now())
}
}
} catch (err) {
console.error('Failed to fetch queue:', err)
}
}, [selectedSession, currentItem])
// Fetch stats
const fetchStats = useCallback(async () => {
try {
const url = selectedSession
? `${API_BASE}/api/v1/ocr-label/stats?session_id=${selectedSession}`
: `${API_BASE}/api/v1/ocr-label/stats`
const res = await fetch(url)
if (res.ok) {
const data = await res.json()
setStats(data)
}
} catch (err) {
console.error('Failed to fetch stats:', err)
}
}, [selectedSession])
// Initial data load
useEffect(() => {
const loadData = async () => {
setLoading(true)
await Promise.all([fetchSessions(), fetchQueue(), fetchStats()])
setLoading(false)
}
loadData()
}, [fetchSessions, fetchQueue, fetchStats])
// Refresh queue when session changes
useEffect(() => {
setCurrentItem(null)
setCurrentIndex(0)
fetchQueue()
fetchStats()
}, [selectedSession, fetchQueue, fetchStats])
// Navigate to next item
const goToNext = useCallback(() => {
if (currentIndex < queue.length - 1) {
const nextIndex = currentIndex + 1
setCurrentIndex(nextIndex)
setCurrentItem(queue[nextIndex])
setCorrectedText(queue[nextIndex].ocr_text || '')
setLabelStartTime(Date.now())
} else {
fetchQueue()
}
}, [currentIndex, queue, fetchQueue])
// Navigate to previous item
const goToPrev = useCallback(() => {
if (currentIndex > 0) {
const prevIndex = currentIndex - 1
setCurrentIndex(prevIndex)
setCurrentItem(queue[prevIndex])
setCorrectedText(queue[prevIndex].ocr_text || '')
setLabelStartTime(Date.now())
}
}, [currentIndex, queue])
// Calculate label time
const getLabelTime = useCallback((): number | undefined => {
if (!labelStartTime) return undefined
return Math.round((Date.now() - labelStartTime) / 1000)
}, [labelStartTime])
// Select a queue item by index
const selectQueueItem = useCallback((idx: number) => {
if (idx >= 0 && idx < queue.length) {
setCurrentIndex(idx)
setCurrentItem(queue[idx])
setCorrectedText(queue[idx].ocr_text || '')
setLabelStartTime(Date.now())
}
}, [queue])
// Confirm item
const confirmItem = useCallback(async () => {
if (!currentItem) return
try {
const res = await fetch(`${API_BASE}/api/v1/ocr-label/confirm`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
item_id: currentItem.id,
label_time_seconds: getLabelTime(),
}),
})
if (res.ok) {
setQueue(prev => prev.filter(item => item.id !== currentItem.id))
goToNext()
fetchStats()
} else {
setError('Bestaetigung fehlgeschlagen')
}
} catch {
setError('Netzwerkfehler')
}
}, [currentItem, getLabelTime, goToNext, fetchStats])
// Correct item
const correctItem = useCallback(async () => {
if (!currentItem || !correctedText.trim()) return
try {
const res = await fetch(`${API_BASE}/api/v1/ocr-label/correct`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
item_id: currentItem.id,
ground_truth: correctedText.trim(),
label_time_seconds: getLabelTime(),
}),
})
if (res.ok) {
setQueue(prev => prev.filter(item => item.id !== currentItem.id))
goToNext()
fetchStats()
} else {
setError('Korrektur fehlgeschlagen')
}
} catch {
setError('Netzwerkfehler')
}
}, [currentItem, correctedText, getLabelTime, goToNext, fetchStats])
// Skip item
const skipItem = useCallback(async () => {
if (!currentItem) return
try {
const res = await fetch(`${API_BASE}/api/v1/ocr-label/skip`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ item_id: currentItem.id }),
})
if (res.ok) {
setQueue(prev => prev.filter(item => item.id !== currentItem.id))
goToNext()
fetchStats()
} else {
setError('Ueberspringen fehlgeschlagen')
}
} catch {
setError('Netzwerkfehler')
}
}, [currentItem, goToNext, fetchStats])
// Keyboard shortcuts
useEffect(() => {
const handleKeyDown = (e: KeyboardEvent) => {
if (e.target instanceof HTMLTextAreaElement) return
if (e.key === 'Enter' && !e.shiftKey) {
e.preventDefault()
confirmItem()
} else if (e.key === 'ArrowRight') {
goToNext()
} else if (e.key === 'ArrowLeft') {
goToPrev()
} else if (e.key === 's' && !e.ctrlKey && !e.metaKey) {
skipItem()
}
}
window.addEventListener('keydown', handleKeyDown)
return () => window.removeEventListener('keydown', handleKeyDown)
}, [confirmItem, goToNext, goToPrev, skipItem])
return {
// State
sessions,
selectedSession,
setSelectedSession,
queue,
currentItem,
currentIndex,
stats,
loading,
error,
setError,
correctedText,
setCorrectedText,
// Actions
fetchSessions,
fetchQueue,
fetchStats,
goToNext,
goToPrev,
selectQueueItem,
confirmItem,
correctItem,
skipItem,
}
}

View File

@@ -1,409 +0,0 @@
'use client'
import { useCallback, useEffect, useState } from 'react'
import { PagePurpose } from '@/components/common/PagePurpose'
import { PipelineStepper } from '@/components/ocr-pipeline/PipelineStepper'
import { StepDeskew } from '@/components/ocr-pipeline/StepDeskew'
import { StepDewarp } from '@/components/ocr-pipeline/StepDewarp'
import { StepColumnDetection } from '@/components/ocr-pipeline/StepColumnDetection'
import { StepRowDetection } from '@/components/ocr-pipeline/StepRowDetection'
import { StepWordRecognition } from '@/components/ocr-pipeline/StepWordRecognition'
import { StepLlmReview } from '@/components/ocr-pipeline/StepLlmReview'
import { StepReconstruction } from '@/components/ocr-pipeline/StepReconstruction'
import { StepGroundTruth } from '@/components/ocr-pipeline/StepGroundTruth'
import { PIPELINE_STEPS, type PipelineStep, type SessionListItem, type DocumentTypeResult } from './types'
const KLAUSUR_API = '/klausur-api'
export default function OcrPipelinePage() {
const [currentStep, setCurrentStep] = useState(0)
const [sessionId, setSessionId] = useState<string | null>(null)
const [sessionName, setSessionName] = useState<string>('')
const [sessions, setSessions] = useState<SessionListItem[]>([])
const [loadingSessions, setLoadingSessions] = useState(true)
const [editingName, setEditingName] = useState<string | null>(null)
const [editNameValue, setEditNameValue] = useState('')
const [docTypeResult, setDocTypeResult] = useState<DocumentTypeResult | null>(null)
const [steps, setSteps] = useState<PipelineStep[]>(
PIPELINE_STEPS.map((s, i) => ({
...s,
status: i === 0 ? 'active' : 'pending',
})),
)
// Load session list on mount
useEffect(() => {
loadSessions()
}, [])
const loadSessions = async () => {
setLoadingSessions(true)
try {
const res = await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions`)
if (res.ok) {
const data = await res.json()
setSessions(data.sessions || [])
}
} catch (e) {
console.error('Failed to load sessions:', e)
} finally {
setLoadingSessions(false)
}
}
const openSession = useCallback(async (sid: string) => {
try {
const res = await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sid}`)
if (!res.ok) return
const data = await res.json()
setSessionId(sid)
setSessionName(data.name || data.filename || '')
// Restore doc type result if available
const savedDocType: DocumentTypeResult | null = data.doc_type_result || null
setDocTypeResult(savedDocType)
// Determine which step to jump to based on current_step
const dbStep = data.current_step || 1
// Steps: 1=deskew, 2=dewarp, 3=columns, ...
// UI steps are 0-indexed: 0=deskew, 1=dewarp, 2=columns, ...
const uiStep = Math.max(0, dbStep - 1)
const skipSteps = savedDocType?.skip_steps || []
setSteps(
PIPELINE_STEPS.map((s, i) => ({
...s,
status: skipSteps.includes(s.id)
? 'skipped'
: i < uiStep ? 'completed' : i === uiStep ? 'active' : 'pending',
})),
)
setCurrentStep(uiStep)
} catch (e) {
console.error('Failed to open session:', e)
}
}, [])
const deleteSession = useCallback(async (sid: string) => {
try {
await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sid}`, { method: 'DELETE' })
setSessions((prev) => prev.filter((s) => s.id !== sid))
if (sessionId === sid) {
setSessionId(null)
setCurrentStep(0)
setDocTypeResult(null)
setSteps(PIPELINE_STEPS.map((s, i) => ({ ...s, status: i === 0 ? 'active' : 'pending' })))
}
} catch (e) {
console.error('Failed to delete session:', e)
}
}, [sessionId])
const renameSession = useCallback(async (sid: string, newName: string) => {
try {
await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sid}`, {
method: 'PUT',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ name: newName }),
})
setSessions((prev) => prev.map((s) => (s.id === sid ? { ...s, name: newName } : s)))
if (sessionId === sid) setSessionName(newName)
} catch (e) {
console.error('Failed to rename session:', e)
}
setEditingName(null)
}, [sessionId])
const handleStepClick = (index: number) => {
if (index <= currentStep || steps[index].status === 'completed') {
setCurrentStep(index)
}
}
const goToStep = (step: number) => {
setCurrentStep(step)
setSteps((prev) =>
prev.map((s, i) => ({
...s,
status: i < step ? 'completed' : i === step ? 'active' : 'pending',
})),
)
}
const handleNext = () => {
if (currentStep >= steps.length - 1) return
// Find the next non-skipped step
const skipSteps = docTypeResult?.skip_steps || []
let nextStep = currentStep + 1
while (nextStep < steps.length && skipSteps.includes(PIPELINE_STEPS[nextStep]?.id)) {
nextStep++
}
if (nextStep >= steps.length) nextStep = steps.length - 1
setSteps((prev) =>
prev.map((s, i) => {
if (i === currentStep) return { ...s, status: 'completed' }
if (i === nextStep) return { ...s, status: 'active' }
// Mark skipped steps between current and next
if (i > currentStep && i < nextStep && skipSteps.includes(PIPELINE_STEPS[i]?.id)) {
return { ...s, status: 'skipped' }
}
return s
}),
)
setCurrentStep(nextStep)
}
const handleDeskewComplete = (sid: string) => {
setSessionId(sid)
// Reload session list to show the new session
loadSessions()
handleNext()
}
const handleDewarpNext = async () => {
// Auto-detect document type after dewarp, then advance
if (sessionId) {
try {
const res = await fetch(
`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sessionId}/detect-type`,
{ method: 'POST' },
)
if (res.ok) {
const data: DocumentTypeResult = await res.json()
setDocTypeResult(data)
// Mark skipped steps immediately
const skipSteps = data.skip_steps || []
if (skipSteps.length > 0) {
setSteps((prev) =>
prev.map((s) =>
skipSteps.includes(s.id) ? { ...s, status: 'skipped' } : s,
),
)
}
}
} catch (e) {
console.error('Doc type detection failed:', e)
// Not critical — continue without it
}
}
handleNext()
}
const handleDocTypeChange = (newDocType: DocumentTypeResult['doc_type']) => {
if (!docTypeResult) return
// Build new skip_steps based on doc type
let skipSteps: string[] = []
if (newDocType === 'full_text') {
skipSteps = ['columns', 'rows']
}
// vocab_table and generic_table: no skips
const updated: DocumentTypeResult = {
...docTypeResult,
doc_type: newDocType,
skip_steps: skipSteps,
pipeline: newDocType === 'full_text' ? 'full_page' : 'cell_first',
}
setDocTypeResult(updated)
// Update step statuses
setSteps((prev) =>
prev.map((s) => {
if (skipSteps.includes(s.id)) return { ...s, status: 'skipped' as const }
if (s.status === 'skipped') return { ...s, status: 'pending' as const }
return s
}),
)
}
const handleNewSession = () => {
setSessionId(null)
setSessionName('')
setCurrentStep(0)
setDocTypeResult(null)
setSteps(PIPELINE_STEPS.map((s, i) => ({ ...s, status: i === 0 ? 'active' : 'pending' })))
}
const stepNames: Record<number, string> = {
1: 'Begradigung',
2: 'Entzerrung',
3: 'Spalten',
4: 'Zeilen',
5: 'Woerter',
6: 'Korrektur',
7: 'Rekonstruktion',
8: 'Validierung',
}
const reprocessFromStep = useCallback(async (uiStep: number) => {
if (!sessionId) return
const dbStep = uiStep + 1 // UI is 0-indexed, DB is 1-indexed
if (!confirm(`Ab Schritt ${dbStep} (${stepNames[dbStep] || '?'}) neu verarbeiten? Nachfolgende Daten werden geloescht.`)) return
try {
const res = await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sessionId}/reprocess`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ from_step: dbStep }),
})
if (!res.ok) {
const data = await res.json().catch(() => ({}))
console.error('Reprocess failed:', data.detail || res.status)
return
}
// Reset UI steps
goToStep(uiStep)
} catch (e) {
console.error('Reprocess error:', e)
}
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [sessionId, goToStep])
const renderStep = () => {
switch (currentStep) {
case 0:
return <StepDeskew sessionId={sessionId} onNext={handleDeskewComplete} />
case 1:
return <StepDewarp sessionId={sessionId} onNext={handleDewarpNext} />
case 2:
return <StepColumnDetection sessionId={sessionId} onNext={handleNext} />
case 3:
return <StepRowDetection sessionId={sessionId} onNext={handleNext} />
case 4:
return <StepWordRecognition sessionId={sessionId} onNext={handleNext} goToStep={goToStep} />
case 5:
return <StepLlmReview sessionId={sessionId} onNext={handleNext} />
case 6:
return <StepReconstruction sessionId={sessionId} onNext={handleNext} />
case 7:
return <StepGroundTruth />
default:
return null
}
}
return (
<div className="space-y-6">
<PagePurpose
title="OCR Pipeline"
purpose="Schrittweise Seitenrekonstruktion: Scan begradigen, Spalten erkennen, Woerter lokalisieren und die Seite Wort fuer Wort nachbauen. Ziel: 10 Vokabelseiten fehlerfrei rekonstruieren."
audience={['Entwickler', 'Data Scientists']}
architecture={{
services: ['klausur-service (FastAPI)', 'OpenCV', 'Tesseract'],
databases: ['PostgreSQL Sessions'],
}}
relatedPages={[
{ name: 'OCR Vergleich', href: '/ai/ocr-compare', description: 'Methoden-Vergleich' },
{ name: 'OCR-Labeling', href: '/ai/ocr-labeling', description: 'Trainingsdaten' },
]}
defaultCollapsed
/>
{/* Session List */}
<div className="bg-white dark:bg-gray-800 rounded-xl border border-gray-200 dark:border-gray-700 p-4">
<div className="flex items-center justify-between mb-3">
<h3 className="text-sm font-medium text-gray-700 dark:text-gray-300">
Sessions
</h3>
<button
onClick={handleNewSession}
className="text-xs px-3 py-1.5 bg-teal-600 text-white rounded-lg hover:bg-teal-700 transition-colors"
>
+ Neue Session
</button>
</div>
{loadingSessions ? (
<div className="text-sm text-gray-400 py-2">Lade Sessions...</div>
) : sessions.length === 0 ? (
<div className="text-sm text-gray-400 py-2">Noch keine Sessions vorhanden.</div>
) : (
<div className="space-y-1 max-h-48 overflow-y-auto">
{sessions.map((s) => (
<div
key={s.id}
className={`flex items-center gap-2 px-3 py-2 rounded-lg text-sm transition-colors cursor-pointer ${
sessionId === s.id
? 'bg-teal-50 dark:bg-teal-900/30 border border-teal-200 dark:border-teal-700'
: 'hover:bg-gray-50 dark:hover:bg-gray-700/50'
}`}
>
<div className="flex-1 min-w-0" onClick={() => openSession(s.id)}>
{editingName === s.id ? (
<input
autoFocus
value={editNameValue}
onChange={(e) => setEditNameValue(e.target.value)}
onBlur={() => renameSession(s.id, editNameValue)}
onKeyDown={(e) => {
if (e.key === 'Enter') renameSession(s.id, editNameValue)
if (e.key === 'Escape') setEditingName(null)
}}
onClick={(e) => e.stopPropagation()}
className="w-full px-1 py-0.5 text-sm border rounded dark:bg-gray-700 dark:border-gray-600"
/>
) : (
<div className="truncate font-medium text-gray-700 dark:text-gray-300">
{s.name || s.filename}
</div>
)}
<div className="text-xs text-gray-400 flex gap-2">
<span>{new Date(s.created_at).toLocaleDateString('de-DE', { day: '2-digit', month: '2-digit', year: '2-digit', hour: '2-digit', minute: '2-digit' })}</span>
<span>Schritt {s.current_step}: {stepNames[s.current_step] || '?'}</span>
</div>
</div>
<button
onClick={(e) => {
e.stopPropagation()
setEditNameValue(s.name || s.filename)
setEditingName(s.id)
}}
className="p-1 text-gray-400 hover:text-gray-600 dark:hover:text-gray-300"
title="Umbenennen"
>
<svg className="w-3.5 h-3.5" fill="none" viewBox="0 0 24 24" stroke="currentColor" strokeWidth={2}>
<path strokeLinecap="round" strokeLinejoin="round" d="M15.232 5.232l3.536 3.536m-2.036-5.036a2.5 2.5 0 113.536 3.536L6.5 21.036H3v-3.572L16.732 3.732z" />
</svg>
</button>
<button
onClick={(e) => {
e.stopPropagation()
if (confirm('Session loeschen?')) deleteSession(s.id)
}}
className="p-1 text-gray-400 hover:text-red-500"
title="Loeschen"
>
<svg className="w-3.5 h-3.5" fill="none" viewBox="0 0 24 24" stroke="currentColor" strokeWidth={2}>
<path strokeLinecap="round" strokeLinejoin="round" d="M19 7l-.867 12.142A2 2 0 0116.138 21H7.862a2 2 0 01-1.995-1.858L5 7m5 4v6m4-6v6m1-10V4a1 1 0 00-1-1h-4a1 1 0 00-1 1v3M4 7h16" />
</svg>
</button>
</div>
))}
</div>
)}
</div>
{/* Active session name */}
{sessionId && sessionName && (
<div className="text-sm text-gray-500 dark:text-gray-400">
Aktive Session: <span className="font-medium text-gray-700 dark:text-gray-300">{sessionName}</span>
</div>
)}
<PipelineStepper
steps={steps}
currentStep={currentStep}
onStepClick={handleStepClick}
onReprocess={sessionId ? reprocessFromStep : undefined}
docTypeResult={docTypeResult}
onDocTypeChange={handleDocTypeChange}
/>
<div className="min-h-[400px]">{renderStep()}</div>
</div>
)
}

View File

@@ -1,243 +0,0 @@
export type PipelineStepStatus = 'pending' | 'active' | 'completed' | 'failed' | 'skipped'
export interface PipelineStep {
id: string
name: string
icon: string
status: PipelineStepStatus
}
export interface SessionListItem {
id: string
name: string
filename: string
status: string
current_step: number
created_at: string
updated_at?: string
}
export interface DocumentTypeResult {
doc_type: 'vocab_table' | 'full_text' | 'generic_table'
confidence: number
pipeline: 'cell_first' | 'full_page'
skip_steps: string[]
features?: Record<string, unknown>
duration_seconds?: number
}
export interface SessionInfo {
session_id: string
filename: string
name?: string
image_width: number
image_height: number
original_image_url: string
current_step?: number
deskew_result?: DeskewResult
dewarp_result?: DewarpResult
column_result?: ColumnResult
row_result?: RowResult
word_result?: GridResult
doc_type_result?: DocumentTypeResult
}
export interface DeskewResult {
session_id: string
angle_hough: number
angle_word_alignment: number
angle_applied: number
method_used: 'hough' | 'word_alignment' | 'manual'
confidence: number
duration_seconds: number
deskewed_image_url: string
binarized_image_url: string
}
export interface DeskewGroundTruth {
is_correct: boolean
corrected_angle?: number
notes?: string
}
export interface DewarpDetection {
method: string
shear_degrees: number
confidence: number
}
export interface DewarpResult {
session_id: string
method_used: string
shear_degrees: number
confidence: number
duration_seconds: number
dewarped_image_url: string
detections?: DewarpDetection[]
}
export interface DewarpGroundTruth {
is_correct: boolean
corrected_shear?: number
notes?: string
}
export interface PageRegion {
type: 'column_en' | 'column_de' | 'column_example' | 'page_ref'
| 'column_marker' | 'column_text' | 'column_ignore' | 'header' | 'footer'
x: number
y: number
width: number
height: number
classification_confidence?: number
classification_method?: string
}
export interface ColumnResult {
columns: PageRegion[]
duration_seconds: number
}
export interface ColumnGroundTruth {
is_correct: boolean
corrected_columns?: PageRegion[]
notes?: string
}
export interface ManualColumnDivider {
xPercent: number // Position in % of image width (0-100)
}
export type ColumnTypeKey = PageRegion['type']
export interface RowResult {
rows: RowItem[]
summary: Record<string, number>
total_rows: number
duration_seconds: number
}
export interface RowItem {
index: number
x: number
y: number
width: number
height: number
word_count: number
row_type: 'content' | 'header' | 'footer'
gap_before: number
}
export interface RowGroundTruth {
is_correct: boolean
corrected_rows?: RowItem[]
notes?: string
}
export interface WordBbox {
x: number
y: number
w: number
h: number
}
export interface GridCell {
cell_id: string // "R03_C1"
row_index: number
col_index: number
col_type: string
text: string
confidence: number
bbox_px: WordBbox
bbox_pct: WordBbox
ocr_engine?: string
status?: 'pending' | 'confirmed' | 'edited' | 'skipped'
}
export interface ColumnMeta {
index: number
type: string
x: number
width: number
}
export interface GridResult {
cells: GridCell[]
grid_shape: { rows: number; cols: number; total_cells: number }
columns_used: ColumnMeta[]
layout: 'vocab' | 'generic'
image_width: number
image_height: number
duration_seconds: number
ocr_engine?: string
vocab_entries?: WordEntry[] // Only when layout='vocab'
entries?: WordEntry[] // Backwards compat alias for vocab_entries
entry_count?: number
summary: {
total_cells: number
non_empty_cells: number
low_confidence: number
// Only when layout='vocab':
total_entries?: number
with_english?: number
with_german?: number
}
llm_review?: {
changes: { row_index: number; field: string; old: string; new: string }[]
model_used: string
duration_ms: number
entries_corrected: number
applied_count?: number
applied_at?: string
}
}
export interface WordEntry {
row_index: number
english: string
german: string
example: string
source_page?: string
marker?: string
confidence: number
bbox: WordBbox
bbox_en: WordBbox | null
bbox_de: WordBbox | null
bbox_ex: WordBbox | null
bbox_ref?: WordBbox | null
bbox_marker?: WordBbox | null
status?: 'pending' | 'confirmed' | 'edited' | 'skipped'
}
/** @deprecated Use GridResult instead */
export interface WordResult {
entries: WordEntry[]
entry_count: number
image_width: number
image_height: number
duration_seconds: number
ocr_engine?: string
summary: {
total_entries: number
with_english: number
with_german: number
low_confidence: number
}
}
export interface WordGroundTruth {
is_correct: boolean
corrected_entries?: WordEntry[]
notes?: string
}
export const PIPELINE_STEPS: PipelineStep[] = [
{ id: 'deskew', name: 'Begradigung', icon: '📐', status: 'pending' },
{ id: 'dewarp', name: 'Entzerrung', icon: '🔧', status: 'pending' },
{ id: 'columns', name: 'Spalten', icon: '📊', status: 'pending' },
{ id: 'rows', name: 'Zeilen', icon: '📏', status: 'pending' },
{ id: 'words', name: 'Woerter', icon: '🔤', status: 'pending' },
{ id: 'llm-review', name: 'Korrektur', icon: '✏️', status: 'pending' },
{ id: 'reconstruction', name: 'Rekonstruktion', icon: '🏗️', status: 'pending' },
{ id: 'ground-truth', name: 'Validierung', icon: '✅', status: 'pending' },
]

View File

@@ -0,0 +1,403 @@
'use client'
/**
* OCR Regression Dashboard
*
* Shows all ground-truth sessions, runs regression tests,
* displays pass/fail results with diff details, and shows history.
*/
import { useState, useEffect, useCallback } from 'react'
import { PagePurpose } from '@/components/common/PagePurpose'
const KLAUSUR_API = '/klausur-api'
// ---------------------------------------------------------------------------
// Types
// ---------------------------------------------------------------------------
interface GTSession {
session_id: string
name: string
filename: string
document_category: string | null
pipeline: string | null
saved_at: string | null
summary: {
total_zones: number
total_columns: number
total_rows: number
total_cells: number
}
}
interface DiffSummary {
structural_changes: number
cells_missing: number
cells_added: number
text_changes: number
col_type_changes: number
}
interface RegressionResult {
session_id: string
name: string
status: 'pass' | 'fail' | 'error'
error?: string
diff_summary?: DiffSummary
reference_summary?: Record<string, number>
current_summary?: Record<string, number>
structural_diffs?: Array<{ field: string; reference: number; current: number }>
cell_diffs?: Array<{ type: string; cell_id: string; reference?: string; current?: string }>
}
interface RegressionRun {
id: string
run_at: string
status: string
total: number
passed: number
failed: number
errors: number
duration_ms: number
triggered_by: string
}
// ---------------------------------------------------------------------------
// Helpers
// ---------------------------------------------------------------------------
function StatusBadge({ status }: { status: string }) {
const cls =
status === 'pass'
? 'bg-emerald-100 text-emerald-800 border-emerald-200'
: status === 'fail'
? 'bg-red-100 text-red-800 border-red-200'
: 'bg-amber-100 text-amber-800 border-amber-200'
return (
<span className={`inline-flex items-center px-2.5 py-0.5 rounded-full text-xs font-medium border ${cls}`}>
{status === 'pass' ? 'Pass' : status === 'fail' ? 'Fail' : 'Error'}
</span>
)
}
function formatDate(iso: string | null) {
if (!iso) return '—'
return new Date(iso).toLocaleString('de-DE', {
day: '2-digit', month: '2-digit', year: 'numeric',
hour: '2-digit', minute: '2-digit',
})
}
// ---------------------------------------------------------------------------
// Component
// ---------------------------------------------------------------------------
export default function OCRRegressionPage() {
const [sessions, setSessions] = useState<GTSession[]>([])
const [results, setResults] = useState<RegressionResult[]>([])
const [history, setHistory] = useState<RegressionRun[]>([])
const [running, setRunning] = useState(false)
const [overallStatus, setOverallStatus] = useState<string | null>(null)
const [durationMs, setDurationMs] = useState<number | null>(null)
const [expandedSession, setExpandedSession] = useState<string | null>(null)
const [tab, setTab] = useState<'current' | 'history'>('current')
// Load ground-truth sessions
const loadSessions = useCallback(async () => {
try {
const res = await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/ground-truth-sessions`)
if (res.ok) {
const data = await res.json()
setSessions(data.sessions || [])
}
} catch (e) {
console.error('Failed to load GT sessions:', e)
}
}, [])
// Load history
const loadHistory = useCallback(async () => {
try {
const res = await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/regression/history?limit=20`)
if (res.ok) {
const data = await res.json()
setHistory(data.runs || [])
}
} catch (e) {
console.error('Failed to load history:', e)
}
}, [])
useEffect(() => {
loadSessions()
loadHistory()
}, [loadSessions, loadHistory])
// Run all regressions
const runAll = async () => {
setRunning(true)
setResults([])
setOverallStatus(null)
setDurationMs(null)
try {
const res = await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/regression/run?triggered_by=manual`, {
method: 'POST',
})
if (res.ok) {
const data = await res.json()
setResults(data.results || [])
setOverallStatus(data.status)
setDurationMs(data.duration_ms)
loadHistory()
}
} catch (e) {
console.error('Regression run failed:', e)
setOverallStatus('error')
} finally {
setRunning(false)
}
}
const totalPass = results.filter(r => r.status === 'pass').length
const totalFail = results.filter(r => r.status === 'fail').length
const totalError = results.filter(r => r.status === 'error').length
return (
<div className="space-y-6">
<div className="max-w-7xl mx-auto p-6 space-y-6">
<PagePurpose
title="OCR Regression Tests"
purpose="Automatische Regressions-Tests fuer die OCR-Pipeline: Ground-Truth Sessions neu auswerten und gegen Referenz-Ergebnisse vergleichen."
audience={['Entwickler', 'QA']}
defaultCollapsed
architecture={{
services: ['klausur-service (FastAPI, Port 8086)'],
databases: ['PostgreSQL (regression_runs, ocr_pipeline_sessions)'],
}}
relatedPages={[
{ name: 'OCR Pipeline', href: '/ai/ocr-pipeline', description: 'OCR-Pipeline ausfuehren' },
{ name: 'Ground Truth Review', href: '/ai/ocr-ground-truth', description: 'Sessions pruefen & markieren' },
]}
/>
{/* Header + Run Button */}
<div className="flex items-center justify-between">
<div>
<h1 className="text-2xl font-bold text-slate-900">OCR Regression Tests</h1>
<p className="text-sm text-slate-500 mt-1">
{sessions.length} Ground-Truth Session{sessions.length !== 1 ? 's' : ''}
</p>
</div>
<button
onClick={runAll}
disabled={running || sessions.length === 0}
className="inline-flex items-center gap-2 px-4 py-2.5 bg-teal-600 text-white rounded-lg hover:bg-teal-700 disabled:opacity-50 disabled:cursor-not-allowed font-medium transition-colors"
>
{running ? (
<>
<svg className="animate-spin h-4 w-4" fill="none" viewBox="0 0 24 24">
<circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4" />
<path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z" />
</svg>
Laeuft...
</>
) : (
'Alle Tests starten'
)}
</button>
</div>
{/* Overall Result Banner */}
{overallStatus && (
<div className={`rounded-lg p-4 border ${
overallStatus === 'pass'
? 'bg-emerald-50 border-emerald-200'
: 'bg-red-50 border-red-200'
}`}>
<div className="flex items-center justify-between">
<div className="flex items-center gap-3">
<StatusBadge status={overallStatus} />
<span className="font-medium text-slate-900">
{totalPass} bestanden, {totalFail} fehlgeschlagen, {totalError} Fehler
</span>
</div>
{durationMs !== null && (
<span className="text-sm text-slate-500">{(durationMs / 1000).toFixed(1)}s</span>
)}
</div>
</div>
)}
{/* Tabs */}
<div className="border-b border-slate-200">
<nav className="flex gap-4">
{(['current', 'history'] as const).map(t => (
<button
key={t}
onClick={() => setTab(t)}
className={`pb-3 px-1 text-sm font-medium border-b-2 transition-colors ${
tab === t
? 'border-teal-500 text-teal-600'
: 'border-transparent text-slate-500 hover:text-slate-700'
}`}
>
{t === 'current' ? 'Aktuelle Ergebnisse' : 'Verlauf'}
</button>
))}
</nav>
</div>
{/* Current Results Tab */}
{tab === 'current' && (
<div className="space-y-3">
{results.length === 0 && !running && (
<div className="text-center py-12 text-slate-400">
<p className="text-lg">Keine Ergebnisse</p>
<p className="text-sm mt-1">Klicken Sie &quot;Alle Tests starten&quot; um die Regression zu laufen.</p>
</div>
)}
{results.map(r => (
<div
key={r.session_id}
className="bg-white rounded-lg border border-slate-200 overflow-hidden"
>
<div
className="flex items-center justify-between px-4 py-3 cursor-pointer hover:bg-slate-50 transition-colors"
onClick={() => setExpandedSession(expandedSession === r.session_id ? null : r.session_id)}
>
<div className="flex items-center gap-3 min-w-0">
<StatusBadge status={r.status} />
<span className="font-medium text-slate-900 truncate">{r.name || r.session_id}</span>
</div>
<div className="flex items-center gap-4 text-sm text-slate-500">
{r.diff_summary && (
<span>
{r.diff_summary.text_changes} Text, {r.diff_summary.structural_changes} Struktur
</span>
)}
{r.error && <span className="text-red-500">{r.error}</span>}
<svg className={`w-4 h-4 transition-transform ${expandedSession === r.session_id ? 'rotate-180' : ''}`} fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 9l-7 7-7-7" />
</svg>
</div>
</div>
{/* Expanded Details */}
{expandedSession === r.session_id && r.status === 'fail' && (
<div className="border-t border-slate-100 px-4 py-3 bg-slate-50 space-y-3">
{/* Structural Diffs */}
{r.structural_diffs && r.structural_diffs.length > 0 && (
<div>
<h4 className="text-xs font-medium text-slate-500 uppercase mb-1">Strukturelle Aenderungen</h4>
<div className="space-y-1">
{r.structural_diffs.map((d, i) => (
<div key={i} className="text-sm">
<span className="font-mono text-slate-600">{d.field}</span>: {d.reference} {d.current}
</div>
))}
</div>
</div>
)}
{/* Cell Diffs */}
{r.cell_diffs && r.cell_diffs.length > 0 && (
<div>
<h4 className="text-xs font-medium text-slate-500 uppercase mb-1">
Zellen-Aenderungen ({r.cell_diffs.length})
</h4>
<div className="max-h-60 overflow-y-auto space-y-1">
{r.cell_diffs.slice(0, 50).map((d, i) => (
<div key={i} className="text-sm font-mono bg-white rounded px-2 py-1 border border-slate-100">
<span className={`text-xs px-1 rounded ${
d.type === 'text_change' ? 'bg-amber-100 text-amber-700'
: d.type === 'cell_missing' ? 'bg-red-100 text-red-700'
: 'bg-blue-100 text-blue-700'
}`}>
{d.type}
</span>{' '}
<span className="text-slate-500">{d.cell_id}</span>
{d.reference && (
<>
{' '}<span className="line-through text-red-400">{d.reference}</span>
</>
)}
{d.current && (
<>
{' '}<span className="text-emerald-600">{d.current}</span>
</>
)}
</div>
))}
{r.cell_diffs.length > 50 && (
<p className="text-xs text-slate-400">... und {r.cell_diffs.length - 50} weitere</p>
)}
</div>
</div>
)}
</div>
)}
</div>
))}
{/* Ground Truth Sessions Overview (when no results yet) */}
{results.length === 0 && sessions.length > 0 && (
<div>
<h3 className="text-sm font-medium text-slate-700 mb-2">Ground-Truth Sessions</h3>
<div className="grid gap-2">
{sessions.map(s => (
<div key={s.session_id} className="bg-white rounded-lg border border-slate-200 px-4 py-3 flex items-center justify-between">
<div>
<span className="font-medium text-slate-900">{s.name || s.session_id}</span>
<span className="text-sm text-slate-400 ml-2">{s.filename}</span>
</div>
<div className="text-sm text-slate-500">
{s.summary.total_cells} Zellen, {s.summary.total_zones} Zonen
{s.pipeline && <span className="ml-2 text-xs bg-slate-100 px-1.5 py-0.5 rounded">{s.pipeline}</span>}
</div>
</div>
))}
</div>
</div>
)}
</div>
)}
{/* History Tab */}
{tab === 'history' && (
<div className="space-y-2">
{history.length === 0 ? (
<p className="text-center py-8 text-slate-400">Noch keine Laeufe aufgezeichnet.</p>
) : (
<table className="w-full text-sm">
<thead>
<tr className="border-b border-slate-200 text-left text-slate-500">
<th className="pb-2 font-medium">Datum</th>
<th className="pb-2 font-medium">Status</th>
<th className="pb-2 font-medium text-right">Gesamt</th>
<th className="pb-2 font-medium text-right">Pass</th>
<th className="pb-2 font-medium text-right">Fail</th>
<th className="pb-2 font-medium text-right">Dauer</th>
<th className="pb-2 font-medium">Trigger</th>
</tr>
</thead>
<tbody>
{history.map(run => (
<tr key={run.id} className="border-b border-slate-100 hover:bg-slate-50">
<td className="py-2">{formatDate(run.run_at)}</td>
<td className="py-2"><StatusBadge status={run.status} /></td>
<td className="py-2 text-right">{run.total}</td>
<td className="py-2 text-right text-emerald-600">{run.passed}</td>
<td className="py-2 text-right text-red-600">{run.failed + run.errors}</td>
<td className="py-2 text-right text-slate-500">{(run.duration_ms / 1000).toFixed(1)}s</td>
<td className="py-2 text-slate-400">{run.triggered_by}</td>
</tr>
))}
</tbody>
</table>
)}
</div>
)}
</div>
</div>
)
}

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import type { ChunkDetail } from './types'
interface ResultsListProps {
results: ChunkDetail[]
selectedChunk: ChunkDetail | null
searchQuery: string
onSelect: (chunk: ChunkDetail) => void
}
function highlightText(text: string, query: string) {
if (!query) return text
const words = query.toLowerCase().split(' ').filter(w => w.length > 2)
let result = text
words.forEach(word => {
const regex = new RegExp(`(${word})`, 'gi')
result = result.replace(regex, '<mark class="bg-yellow-200 dark:bg-yellow-800 px-0.5 rounded">$1</mark>')
})
return result
}
export function ResultsList({ results, selectedChunk, searchQuery, onSelect }: ResultsListProps) {
return (
<div className="bg-white dark:bg-slate-800 rounded-lg shadow p-4">
<h3 className="text-md font-semibold text-gray-900 dark:text-white mb-4">
Gefundene Chunks ({results.length})
</h3>
<div className="space-y-3 max-h-[600px] overflow-y-auto">
{results.map((result, idx) => (
<div
key={idx}
onClick={() => onSelect(result)}
className={`p-4 border rounded-lg cursor-pointer transition-all ${
selectedChunk?.text === result.text
? 'border-blue-500 bg-blue-50 dark:bg-blue-900/20'
: 'border-gray-200 dark:border-slate-700 hover:border-gray-300 dark:hover:border-slate-600'
}`}
>
{/* Header */}
<div className="flex items-center justify-between mb-2">
<div className="flex items-center gap-2">
<span className="text-xs font-medium px-2 py-0.5 bg-blue-100 text-blue-700 dark:bg-blue-900/30 dark:text-blue-400 rounded">
{result.regulation_code}
</span>
{result.article && (
<span className="text-xs text-gray-500 dark:text-gray-400">
Art. {result.article}
{result.paragraph && ` Abs. ${result.paragraph}`}
</span>
)}
</div>
<span className="text-xs text-gray-400">
Score: {(result.score || 0).toFixed(3)}
</span>
</div>
{/* Text Preview */}
<p
className="text-sm text-gray-700 dark:text-gray-300 line-clamp-4"
dangerouslySetInnerHTML={{
__html: highlightText(result.text.substring(0, 400) + (result.text.length > 400 ? '...' : ''), searchQuery)
}}
/>
{/* Metadata */}
<div className="mt-2 flex items-center gap-4 text-xs text-gray-400">
<span>Chunk #{result.chunk_index || idx}</span>
<span>{result.text.length} Zeichen</span>
</div>
</div>
))}
</div>
</div>
)
}

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import { REGULATIONS, SAMPLE_QUERIES } from './types'
interface SearchSectionProps {
searchQuery: string
selectedRegulation: string
topK: number
searching: boolean
onSearchQueryChange: (v: string) => void
onRegulationChange: (v: string) => void
onTopKChange: (v: number) => void
onSearch: () => void
onSampleQuery: (query: string, reg: string) => void
}
export function SearchSection({
searchQuery,
selectedRegulation,
topK,
searching,
onSearchQueryChange,
onRegulationChange,
onTopKChange,
onSearch,
onSampleQuery,
}: SearchSectionProps) {
return (
<>
{/* Quick Sample Queries */}
<div className="bg-white dark:bg-slate-800 rounded-lg shadow p-4">
<h3 className="text-sm font-medium text-gray-700 dark:text-gray-300 mb-3">
Schnell-Stichproben
</h3>
<div className="flex flex-wrap gap-2">
{SAMPLE_QUERIES.map((sq, idx) => (
<button
key={idx}
onClick={() => onSampleQuery(sq.query, sq.reg)}
className="px-3 py-1.5 text-xs bg-gray-100 hover:bg-gray-200 dark:bg-slate-700 dark:hover:bg-slate-600 text-gray-700 dark:text-gray-300 rounded-full transition-colors"
>
{sq.label}
</button>
))}
</div>
</div>
{/* Search Section */}
<div className="bg-white dark:bg-slate-800 rounded-lg shadow p-6">
<h2 className="text-lg font-semibold text-gray-900 dark:text-white mb-4">
Chunk-Suche
</h2>
<div className="space-y-4">
{/* Search Input */}
<div className="flex gap-4">
<div className="flex-1">
<label className="block text-sm font-medium text-gray-700 dark:text-gray-300 mb-1">
Suchbegriff / Paragraph / Artikeltext
</label>
<input
type="text"
value={searchQuery}
onChange={(e) => onSearchQueryChange(e.target.value)}
onKeyDown={(e) => e.key === 'Enter' && onSearch()}
placeholder="z.B. 'Recht auf Löschung' oder 'Art. 17 Abs. 1'"
className="w-full px-4 py-2 border border-gray-300 dark:border-slate-600 rounded-lg focus:ring-2 focus:ring-blue-500 dark:bg-slate-700 dark:text-white"
/>
</div>
<div className="w-48">
<label className="block text-sm font-medium text-gray-700 dark:text-gray-300 mb-1">
Regulierung
</label>
<select
value={selectedRegulation}
onChange={(e) => onRegulationChange(e.target.value)}
className="w-full px-3 py-2 border border-gray-300 dark:border-slate-600 rounded-lg focus:ring-2 focus:ring-blue-500 dark:bg-slate-700 dark:text-white"
>
<option value="">Alle</option>
{REGULATIONS.map((reg) => (
<option key={reg.code} value={reg.code}>
{reg.name}
</option>
))}
</select>
</div>
<div className="w-24">
<label className="block text-sm font-medium text-gray-700 dark:text-gray-300 mb-1">
Anzahl
</label>
<select
value={topK}
onChange={(e) => onTopKChange(parseInt(e.target.value))}
className="w-full px-3 py-2 border border-gray-300 dark:border-slate-600 rounded-lg focus:ring-2 focus:ring-blue-500 dark:bg-slate-700 dark:text-white"
>
<option value="5">5</option>
<option value="10">10</option>
<option value="20">20</option>
</select>
</div>
</div>
<button
onClick={onSearch}
disabled={searching || !searchQuery.trim()}
className="px-6 py-2 bg-blue-600 text-white rounded-lg hover:bg-blue-700 disabled:opacity-50 disabled:cursor-not-allowed transition-colors"
>
{searching ? 'Suche laeuft...' : 'Suchen'}
</button>
</div>
</div>
</>
)
}

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import type { ChunkDetail, TraceabilityResult } from './types'
interface TraceabilityPanelProps {
selectedChunk: ChunkDetail | null
loadingTrace: boolean
traceability: TraceabilityResult | null
}
export function TraceabilityPanel({ selectedChunk, loadingTrace, traceability }: TraceabilityPanelProps) {
return (
<div className="bg-white dark:bg-slate-800 rounded-lg shadow p-4">
<h3 className="text-md font-semibold text-gray-900 dark:text-white mb-4">
Traceability
</h3>
{!selectedChunk ? (
<div className="text-center py-12 text-gray-500 dark:text-gray-400">
<svg className="w-12 h-12 mx-auto mb-4 opacity-50" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z" />
</svg>
<p>Waehlen Sie einen Chunk aus der Liste, um die Traceability zu sehen.</p>
</div>
) : loadingTrace ? (
<div className="text-center py-12">
<div className="animate-spin w-8 h-8 border-2 border-blue-500 border-t-transparent rounded-full mx-auto mb-4"></div>
<p className="text-gray-500 dark:text-gray-400">Lade Traceability...</p>
</div>
) : traceability ? (
<div className="space-y-6">
{/* Selected Chunk Detail */}
<ChunkDetailSection chunk={traceability.chunk} />
<ArrowDown />
{/* Requirements */}
<RequirementsSection requirements={traceability.requirements} />
<ArrowDown />
{/* Controls */}
<ControlsSection controls={traceability.controls} />
</div>
) : null}
</div>
)
}
function ChunkDetailSection({ chunk }: { chunk: ChunkDetail }) {
return (
<div className="border-l-4 border-blue-500 pl-4">
<h4 className="text-sm font-medium text-gray-700 dark:text-gray-300 mb-2">
Ausgewaehlter Chunk
</h4>
<div className="bg-gray-50 dark:bg-slate-700 rounded p-3">
<div className="flex items-center gap-2 mb-2">
<span className="text-xs font-medium px-2 py-0.5 bg-blue-100 text-blue-700 dark:bg-blue-900/30 dark:text-blue-400 rounded">
{chunk.regulation_code}
</span>
{chunk.article && (
<span className="text-xs text-gray-500 dark:text-gray-400">
Art. {chunk.article}
{chunk.paragraph && ` Abs. ${chunk.paragraph}`}
</span>
)}
</div>
<p className="text-sm text-gray-600 dark:text-gray-300 whitespace-pre-wrap">
{chunk.text}
</p>
{chunk.source_url && (
<a
href={chunk.source_url}
target="_blank"
rel="noopener noreferrer"
className="mt-2 inline-flex items-center gap-1 text-xs text-blue-600 hover:underline"
>
Quelle oeffnen
</a>
)}
</div>
</div>
)
}
function RequirementsSection({ requirements }: { requirements: TraceabilityResult['requirements'] }) {
return (
<div className="border-l-4 border-orange-500 pl-4">
<h4 className="text-sm font-medium text-gray-700 dark:text-gray-300 mb-2">
Extrahierte Anforderungen ({requirements.length})
</h4>
{requirements.length > 0 ? (
<div className="space-y-2">
{requirements.map((req, idx) => (
<div key={idx} className="bg-orange-50 dark:bg-orange-900/20 rounded p-3">
<div className="flex items-center gap-2 mb-1">
<span className="text-xs font-medium text-orange-700 dark:text-orange-400">
{req.category || 'Anforderung'}
</span>
</div>
<p className="text-sm text-gray-600 dark:text-gray-300">{req.text}</p>
</div>
))}
</div>
) : (
<p className="text-sm text-gray-500 dark:text-gray-400 italic">
Keine Anforderungen aus diesem Chunk extrahiert.
<br />
<span className="text-xs">(Requirements-Extraktion ist noch nicht implementiert)</span>
</p>
)}
</div>
)
}
function ControlsSection({ controls }: { controls: TraceabilityResult['controls'] }) {
return (
<div className="border-l-4 border-green-500 pl-4">
<h4 className="text-sm font-medium text-gray-700 dark:text-gray-300 mb-2">
Abgeleitete Controls ({controls.length})
</h4>
{controls.length > 0 ? (
<div className="space-y-2">
{controls.map((ctrl, idx) => (
<div key={idx} className="bg-green-50 dark:bg-green-900/20 rounded p-3">
<div className="font-medium text-sm text-green-700 dark:text-green-400 mb-1">
{ctrl.name}
</div>
<p className="text-sm text-gray-600 dark:text-gray-300">{ctrl.description}</p>
</div>
))}
</div>
) : (
<p className="text-sm text-gray-500 dark:text-gray-400 italic">
Keine Controls aus diesem Chunk abgeleitet.
<br />
<span className="text-xs">(Control-Ableitung ist noch nicht implementiert)</span>
</p>
)}
</div>
)
}
function ArrowDown() {
return (
<div className="flex justify-center">
<svg className="w-6 h-6 text-gray-400" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 14l-7 7m0 0l-7-7m7 7V3" />
</svg>
</div>
)
}

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@@ -0,0 +1,66 @@
export interface ChunkDetail {
id: string
text: string
regulation_code: string
regulation_name: string
article: string | null
paragraph: string | null
chunk_index: number
chunk_position: 'beginning' | 'middle' | 'end'
source_url: string
score?: number
}
export interface Requirement {
id: string
text: string
category: string
source_chunk_id: string
regulation_code: string
}
export interface Control {
id: string
name: string
description: string
source_requirement_ids: string[]
regulation_codes: string[]
}
export interface TraceabilityResult {
chunk: ChunkDetail
requirements: Requirement[]
controls: Control[]
}
export const API_PROXY = '/api/legal-corpus'
export const REGULATIONS = [
{ code: 'GDPR', name: 'DSGVO' },
{ code: 'EPRIVACY', name: 'ePrivacy' },
{ code: 'TDDDG', name: 'TDDDG' },
{ code: 'SCC', name: 'Standardvertragsklauseln' },
{ code: 'DPF', name: 'EU-US DPF' },
{ code: 'AIACT', name: 'EU AI Act' },
{ code: 'CRA', name: 'Cyber Resilience Act' },
{ code: 'NIS2', name: 'NIS2' },
{ code: 'EUCSA', name: 'EU Cybersecurity Act' },
{ code: 'DATAACT', name: 'Data Act' },
{ code: 'DGA', name: 'Data Governance Act' },
{ code: 'DSA', name: 'Digital Services Act' },
{ code: 'EAA', name: 'Accessibility Act' },
{ code: 'DSM', name: 'DSM-Urheberrecht' },
{ code: 'PLD', name: 'Produkthaftung' },
{ code: 'GPSR', name: 'Product Safety' },
{ code: 'BSI-TR-03161-1', name: 'BSI-TR Teil 1' },
{ code: 'BSI-TR-03161-2', name: 'BSI-TR Teil 2' },
{ code: 'BSI-TR-03161-3', name: 'BSI-TR Teil 3' },
]
export const SAMPLE_QUERIES = [
{ label: 'Art. 17 DSGVO (Recht auf Loeschung)', query: 'Recht auf Löschung Artikel 17', reg: 'GDPR' },
{ label: 'Einwilligung TDDDG', query: 'Einwilligung Endeinrichtung speichern', reg: 'TDDDG' },
{ label: 'AI Act Hochrisiko', query: 'Hochrisiko-KI-System Anforderungen', reg: 'AIACT' },
{ label: 'NIS2 Sicherheitsmaßnahmen', query: 'Cybersicherheitsrisikomanagement Maßnahmen', reg: 'NIS2' },
{ label: 'BSI Authentifizierung', query: 'Authentifizierung Zwei-Faktor mobile', reg: 'BSI-TR-03161-1' },
]

View File

@@ -0,0 +1,93 @@
import { useState, useCallback } from 'react'
import type { ChunkDetail, TraceabilityResult } from './types'
import { API_PROXY } from './types'
export function useQualitySearch() {
const [searchQuery, setSearchQuery] = useState('')
const [searchResults, setSearchResults] = useState<ChunkDetail[]>([])
const [searching, setSearching] = useState(false)
const [selectedRegulation, setSelectedRegulation] = useState<string>('')
const [topK, setTopK] = useState(10)
const [selectedChunk, setSelectedChunk] = useState<ChunkDetail | null>(null)
const [traceability, setTraceability] = useState<TraceabilityResult | null>(null)
const [loadingTrace, setLoadingTrace] = useState(false)
const handleSearch = useCallback(async () => {
if (!searchQuery.trim()) return
setSearching(true)
setSearchResults([])
setSelectedChunk(null)
setTraceability(null)
try {
let url = `${API_PROXY}?action=search&query=${encodeURIComponent(searchQuery)}&top_k=${topK}`
if (selectedRegulation) {
url += `&regulations=${encodeURIComponent(selectedRegulation)}`
}
const res = await fetch(url)
if (res.ok) {
const data = await res.json()
setSearchResults(data.results || [])
}
} catch (error) {
console.error('Search failed:', error)
} finally {
setSearching(false)
}
}, [searchQuery, selectedRegulation, topK])
const loadTraceability = useCallback(async (chunk: ChunkDetail) => {
setSelectedChunk(chunk)
setLoadingTrace(true)
try {
const res = await fetch(
`${API_PROXY}?action=traceability&chunk_id=${encodeURIComponent(chunk.id || chunk.regulation_code + '_' + chunk.chunk_index)}&regulation=${encodeURIComponent(chunk.regulation_code)}`
)
if (res.ok) {
const data = await res.json()
setTraceability({
chunk,
requirements: data.requirements || [],
controls: data.controls || [],
})
} else {
setTraceability({ chunk, requirements: [], controls: [] })
}
} catch (error) {
console.error('Failed to load traceability:', error)
setTraceability({ chunk, requirements: [], controls: [] })
} finally {
setLoadingTrace(false)
}
}, [])
const handleSampleQuery = (query: string, reg: string) => {
setSearchQuery(query)
setSelectedRegulation(reg)
setTimeout(() => {
handleSearch()
}, 100)
}
return {
searchQuery,
setSearchQuery,
searchResults,
searching,
selectedRegulation,
setSelectedRegulation,
topK,
setTopK,
selectedChunk,
traceability,
loadingTrace,
handleSearch,
loadTraceability,
handleSampleQuery,
}
}

View File

@@ -5,184 +5,34 @@
*
* Ermoeglicht Auditoren:
* - Chunk-Suche und Stichproben
* - Traceability: Chunk Requirement Control
* - Traceability: Chunk -> Requirement -> Control
* - Dokumenten-Vollstaendigkeitspruefung
*/
import { useState, useCallback } from 'react'
import Link from 'next/link'
import { PagePurpose } from '@/components/common/PagePurpose'
const API_PROXY = '/api/legal-corpus'
// Types
interface ChunkDetail {
id: string
text: string
regulation_code: string
regulation_name: string
article: string | null
paragraph: string | null
chunk_index: number
chunk_position: 'beginning' | 'middle' | 'end'
source_url: string
score?: number
}
interface Requirement {
id: string
text: string
category: string
source_chunk_id: string
regulation_code: string
}
interface Control {
id: string
name: string
description: string
source_requirement_ids: string[]
regulation_codes: string[]
}
interface TraceabilityResult {
chunk: ChunkDetail
requirements: Requirement[]
controls: Control[]
}
// Regulations for filtering
const REGULATIONS = [
{ code: 'GDPR', name: 'DSGVO' },
{ code: 'EPRIVACY', name: 'ePrivacy' },
{ code: 'TDDDG', name: 'TDDDG' },
{ code: 'SCC', name: 'Standardvertragsklauseln' },
{ code: 'DPF', name: 'EU-US DPF' },
{ code: 'AIACT', name: 'EU AI Act' },
{ code: 'CRA', name: 'Cyber Resilience Act' },
{ code: 'NIS2', name: 'NIS2' },
{ code: 'EUCSA', name: 'EU Cybersecurity Act' },
{ code: 'DATAACT', name: 'Data Act' },
{ code: 'DGA', name: 'Data Governance Act' },
{ code: 'DSA', name: 'Digital Services Act' },
{ code: 'EAA', name: 'Accessibility Act' },
{ code: 'DSM', name: 'DSM-Urheberrecht' },
{ code: 'PLD', name: 'Produkthaftung' },
{ code: 'GPSR', name: 'Product Safety' },
{ code: 'BSI-TR-03161-1', name: 'BSI-TR Teil 1' },
{ code: 'BSI-TR-03161-2', name: 'BSI-TR Teil 2' },
{ code: 'BSI-TR-03161-3', name: 'BSI-TR Teil 3' },
]
const TYPE_COLORS: Record<string, string> = {
eu_regulation: 'bg-blue-100 text-blue-700 dark:bg-blue-900/30 dark:text-blue-400',
eu_directive: 'bg-purple-100 text-purple-700 dark:bg-purple-900/30 dark:text-purple-400',
de_law: 'bg-yellow-100 text-yellow-700 dark:bg-yellow-900/30 dark:text-yellow-400',
bsi_standard: 'bg-green-100 text-green-700 dark:bg-green-900/30 dark:text-green-400',
}
import { useQualitySearch } from './_components/useQualitySearch'
import { SearchSection } from './_components/SearchSection'
import { ResultsList } from './_components/ResultsList'
import { TraceabilityPanel } from './_components/TraceabilityPanel'
export default function QualityPage() {
// Search state
const [searchQuery, setSearchQuery] = useState('')
const [searchResults, setSearchResults] = useState<ChunkDetail[]>([])
const [searching, setSearching] = useState(false)
const [selectedRegulation, setSelectedRegulation] = useState<string>('')
const [topK, setTopK] = useState(10)
// Traceability state
const [selectedChunk, setSelectedChunk] = useState<ChunkDetail | null>(null)
const [traceability, setTraceability] = useState<TraceabilityResult | null>(null)
const [loadingTrace, setLoadingTrace] = useState(false)
// Quick sample queries for auditors
const sampleQueries = [
{ label: 'Art. 17 DSGVO (Recht auf Loeschung)', query: 'Recht auf Löschung Artikel 17', reg: 'GDPR' },
{ label: 'Einwilligung TDDDG', query: 'Einwilligung Endeinrichtung speichern', reg: 'TDDDG' },
{ label: 'AI Act Hochrisiko', query: 'Hochrisiko-KI-System Anforderungen', reg: 'AIACT' },
{ label: 'NIS2 Sicherheitsmaßnahmen', query: 'Cybersicherheitsrisikomanagement Maßnahmen', reg: 'NIS2' },
{ label: 'BSI Authentifizierung', query: 'Authentifizierung Zwei-Faktor mobile', reg: 'BSI-TR-03161-1' },
]
const handleSearch = useCallback(async () => {
if (!searchQuery.trim()) return
setSearching(true)
setSearchResults([])
setSelectedChunk(null)
setTraceability(null)
try {
let url = `${API_PROXY}?action=search&query=${encodeURIComponent(searchQuery)}&top_k=${topK}`
if (selectedRegulation) {
url += `&regulations=${encodeURIComponent(selectedRegulation)}`
}
const res = await fetch(url)
if (res.ok) {
const data = await res.json()
setSearchResults(data.results || [])
}
} catch (error) {
console.error('Search failed:', error)
} finally {
setSearching(false)
}
}, [searchQuery, selectedRegulation, topK])
const loadTraceability = useCallback(async (chunk: ChunkDetail) => {
setSelectedChunk(chunk)
setLoadingTrace(true)
try {
// Try to load traceability (requirements and controls derived from this chunk)
const res = await fetch(`${API_PROXY}?action=traceability&chunk_id=${encodeURIComponent(chunk.id || chunk.regulation_code + '_' + chunk.chunk_index)}&regulation=${encodeURIComponent(chunk.regulation_code)}`)
if (res.ok) {
const data = await res.json()
setTraceability({
chunk,
requirements: data.requirements || [],
controls: data.controls || [],
})
} else {
// If traceability endpoint doesn't exist yet, show placeholder
setTraceability({
chunk,
requirements: [],
controls: [],
})
}
} catch (error) {
console.error('Failed to load traceability:', error)
setTraceability({
chunk,
requirements: [],
controls: [],
})
} finally {
setLoadingTrace(false)
}
}, [])
const handleSampleQuery = (query: string, reg: string) => {
setSearchQuery(query)
setSelectedRegulation(reg)
// Auto-search after setting
setTimeout(() => {
handleSearch()
}, 100)
}
const highlightText = (text: string, query: string) => {
if (!query) return text
const words = query.toLowerCase().split(' ').filter(w => w.length > 2)
let result = text
words.forEach(word => {
const regex = new RegExp(`(${word})`, 'gi')
result = result.replace(regex, '<mark class="bg-yellow-200 dark:bg-yellow-800 px-0.5 rounded">$1</mark>')
})
return result
}
const {
searchQuery,
setSearchQuery,
searchResults,
searching,
selectedRegulation,
setSelectedRegulation,
topK,
setTopK,
selectedChunk,
traceability,
loadingTrace,
handleSearch,
loadTraceability,
handleSampleQuery,
} = useQualitySearch()
return (
<div className="space-y-6">
@@ -214,265 +64,32 @@ export default function QualityPage() {
}}
/>
{/* Quick Sample Queries */}
<div className="bg-white dark:bg-slate-800 rounded-lg shadow p-4">
<h3 className="text-sm font-medium text-gray-700 dark:text-gray-300 mb-3">
Schnell-Stichproben
</h3>
<div className="flex flex-wrap gap-2">
{sampleQueries.map((sq, idx) => (
<button
key={idx}
onClick={() => handleSampleQuery(sq.query, sq.reg)}
className="px-3 py-1.5 text-xs bg-gray-100 hover:bg-gray-200 dark:bg-slate-700 dark:hover:bg-slate-600 text-gray-700 dark:text-gray-300 rounded-full transition-colors"
>
{sq.label}
</button>
))}
</div>
</div>
{/* Search Section */}
<div className="bg-white dark:bg-slate-800 rounded-lg shadow p-6">
<h2 className="text-lg font-semibold text-gray-900 dark:text-white mb-4">
Chunk-Suche
</h2>
<div className="space-y-4">
{/* Search Input */}
<div className="flex gap-4">
<div className="flex-1">
<label className="block text-sm font-medium text-gray-700 dark:text-gray-300 mb-1">
Suchbegriff / Paragraph / Artikeltext
</label>
<input
type="text"
value={searchQuery}
onChange={(e) => setSearchQuery(e.target.value)}
onKeyDown={(e) => e.key === 'Enter' && handleSearch()}
placeholder="z.B. 'Recht auf Löschung' oder 'Art. 17 Abs. 1'"
className="w-full px-4 py-2 border border-gray-300 dark:border-slate-600 rounded-lg focus:ring-2 focus:ring-blue-500 dark:bg-slate-700 dark:text-white"
/>
</div>
<div className="w-48">
<label className="block text-sm font-medium text-gray-700 dark:text-gray-300 mb-1">
Regulierung
</label>
<select
value={selectedRegulation}
onChange={(e) => setSelectedRegulation(e.target.value)}
className="w-full px-3 py-2 border border-gray-300 dark:border-slate-600 rounded-lg focus:ring-2 focus:ring-blue-500 dark:bg-slate-700 dark:text-white"
>
<option value="">Alle</option>
{REGULATIONS.map((reg) => (
<option key={reg.code} value={reg.code}>
{reg.name}
</option>
))}
</select>
</div>
<div className="w-24">
<label className="block text-sm font-medium text-gray-700 dark:text-gray-300 mb-1">
Anzahl
</label>
<select
value={topK}
onChange={(e) => setTopK(parseInt(e.target.value))}
className="w-full px-3 py-2 border border-gray-300 dark:border-slate-600 rounded-lg focus:ring-2 focus:ring-blue-500 dark:bg-slate-700 dark:text-white"
>
<option value="5">5</option>
<option value="10">10</option>
<option value="20">20</option>
</select>
</div>
</div>
<button
onClick={handleSearch}
disabled={searching || !searchQuery.trim()}
className="px-6 py-2 bg-blue-600 text-white rounded-lg hover:bg-blue-700 disabled:opacity-50 disabled:cursor-not-allowed transition-colors"
>
{searching ? 'Suche laeuft...' : 'Suchen'}
</button>
</div>
</div>
<SearchSection
searchQuery={searchQuery}
selectedRegulation={selectedRegulation}
topK={topK}
searching={searching}
onSearchQueryChange={setSearchQuery}
onRegulationChange={setSelectedRegulation}
onTopKChange={setTopK}
onSearch={handleSearch}
onSampleQuery={handleSampleQuery}
/>
{/* Results Grid */}
{searchResults.length > 0 && (
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
{/* Search Results List */}
<div className="bg-white dark:bg-slate-800 rounded-lg shadow p-4">
<h3 className="text-md font-semibold text-gray-900 dark:text-white mb-4">
Gefundene Chunks ({searchResults.length})
</h3>
<div className="space-y-3 max-h-[600px] overflow-y-auto">
{searchResults.map((result, idx) => (
<div
key={idx}
onClick={() => loadTraceability(result)}
className={`p-4 border rounded-lg cursor-pointer transition-all ${
selectedChunk?.text === result.text
? 'border-blue-500 bg-blue-50 dark:bg-blue-900/20'
: 'border-gray-200 dark:border-slate-700 hover:border-gray-300 dark:hover:border-slate-600'
}`}
>
{/* Header */}
<div className="flex items-center justify-between mb-2">
<div className="flex items-center gap-2">
<span className="text-xs font-medium px-2 py-0.5 bg-blue-100 text-blue-700 dark:bg-blue-900/30 dark:text-blue-400 rounded">
{result.regulation_code}
</span>
{result.article && (
<span className="text-xs text-gray-500 dark:text-gray-400">
Art. {result.article}
{result.paragraph && ` Abs. ${result.paragraph}`}
</span>
)}
</div>
<span className="text-xs text-gray-400">
Score: {(result.score || 0).toFixed(3)}
</span>
</div>
{/* Text Preview */}
<p
className="text-sm text-gray-700 dark:text-gray-300 line-clamp-4"
dangerouslySetInnerHTML={{
__html: highlightText(result.text.substring(0, 400) + (result.text.length > 400 ? '...' : ''), searchQuery)
}}
/>
{/* Metadata */}
<div className="mt-2 flex items-center gap-4 text-xs text-gray-400">
<span>Chunk #{result.chunk_index || idx}</span>
<span>{result.text.length} Zeichen</span>
</div>
</div>
))}
</div>
</div>
{/* Traceability Panel */}
<div className="bg-white dark:bg-slate-800 rounded-lg shadow p-4">
<h3 className="text-md font-semibold text-gray-900 dark:text-white mb-4">
Traceability
</h3>
{!selectedChunk ? (
<div className="text-center py-12 text-gray-500 dark:text-gray-400">
<svg className="w-12 h-12 mx-auto mb-4 opacity-50" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z" />
</svg>
<p>Waehlen Sie einen Chunk aus der Liste, um die Traceability zu sehen.</p>
</div>
) : loadingTrace ? (
<div className="text-center py-12">
<div className="animate-spin w-8 h-8 border-2 border-blue-500 border-t-transparent rounded-full mx-auto mb-4"></div>
<p className="text-gray-500 dark:text-gray-400">Lade Traceability...</p>
</div>
) : traceability ? (
<div className="space-y-6">
{/* Selected Chunk Detail */}
<div className="border-l-4 border-blue-500 pl-4">
<h4 className="text-sm font-medium text-gray-700 dark:text-gray-300 mb-2">
📄 Ausgewaehlter Chunk
</h4>
<div className="bg-gray-50 dark:bg-slate-700 rounded p-3">
<div className="flex items-center gap-2 mb-2">
<span className="text-xs font-medium px-2 py-0.5 bg-blue-100 text-blue-700 dark:bg-blue-900/30 dark:text-blue-400 rounded">
{traceability.chunk.regulation_code}
</span>
{traceability.chunk.article && (
<span className="text-xs text-gray-500 dark:text-gray-400">
Art. {traceability.chunk.article}
{traceability.chunk.paragraph && ` Abs. ${traceability.chunk.paragraph}`}
</span>
)}
</div>
<p className="text-sm text-gray-600 dark:text-gray-300 whitespace-pre-wrap">
{traceability.chunk.text}
</p>
{traceability.chunk.source_url && (
<a
href={traceability.chunk.source_url}
target="_blank"
rel="noopener noreferrer"
className="mt-2 inline-flex items-center gap-1 text-xs text-blue-600 hover:underline"
>
🔗 Quelle oeffnen
</a>
)}
</div>
</div>
{/* Arrow Down */}
<div className="flex justify-center">
<svg className="w-6 h-6 text-gray-400" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 14l-7 7m0 0l-7-7m7 7V3" />
</svg>
</div>
{/* Requirements */}
<div className="border-l-4 border-orange-500 pl-4">
<h4 className="text-sm font-medium text-gray-700 dark:text-gray-300 mb-2">
📋 Extrahierte Anforderungen ({traceability.requirements.length})
</h4>
{traceability.requirements.length > 0 ? (
<div className="space-y-2">
{traceability.requirements.map((req, idx) => (
<div key={idx} className="bg-orange-50 dark:bg-orange-900/20 rounded p-3">
<div className="flex items-center gap-2 mb-1">
<span className="text-xs font-medium text-orange-700 dark:text-orange-400">
{req.category || 'Anforderung'}
</span>
</div>
<p className="text-sm text-gray-600 dark:text-gray-300">{req.text}</p>
</div>
))}
</div>
) : (
<p className="text-sm text-gray-500 dark:text-gray-400 italic">
Keine Anforderungen aus diesem Chunk extrahiert.
<br />
<span className="text-xs">(Requirements-Extraktion ist noch nicht implementiert)</span>
</p>
)}
</div>
{/* Arrow Down */}
<div className="flex justify-center">
<svg className="w-6 h-6 text-gray-400" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 14l-7 7m0 0l-7-7m7 7V3" />
</svg>
</div>
{/* Controls */}
<div className="border-l-4 border-green-500 pl-4">
<h4 className="text-sm font-medium text-gray-700 dark:text-gray-300 mb-2">
Abgeleitete Controls ({traceability.controls.length})
</h4>
{traceability.controls.length > 0 ? (
<div className="space-y-2">
{traceability.controls.map((ctrl, idx) => (
<div key={idx} className="bg-green-50 dark:bg-green-900/20 rounded p-3">
<div className="font-medium text-sm text-green-700 dark:text-green-400 mb-1">
{ctrl.name}
</div>
<p className="text-sm text-gray-600 dark:text-gray-300">{ctrl.description}</p>
</div>
))}
</div>
) : (
<p className="text-sm text-gray-500 dark:text-gray-400 italic">
Keine Controls aus diesem Chunk abgeleitet.
<br />
<span className="text-xs">(Control-Ableitung ist noch nicht implementiert)</span>
</p>
)}
</div>
</div>
) : null}
</div>
<ResultsList
results={searchResults}
selectedChunk={selectedChunk}
searchQuery={searchQuery}
onSelect={loadTraceability}
/>
<TraceabilityPanel
selectedChunk={selectedChunk}
loadingTrace={loadingTrace}
traceability={traceability}
/>
</div>
)}
@@ -510,13 +127,13 @@ export default function QualityPage() {
{/* Audit Info */}
<div className="bg-blue-50 dark:bg-blue-900/20 border border-blue-200 dark:border-blue-800 rounded-lg p-4">
<h3 className="text-sm font-medium text-blue-800 dark:text-blue-400 mb-2">
Hinweise fuer Auditoren
Hinweise fuer Auditoren
</h3>
<ul className="text-sm text-blue-700 dark:text-blue-300 space-y-1 list-disc list-inside">
<li>Die Suche ist semantisch - aehnliche Begriffe werden gefunden, auch wenn die exakte Formulierung abweicht</li>
<li>Jeder Chunk entspricht einem logischen Textabschnitt aus dem Originaldokument</li>
<li>Die Traceability zeigt, wie aus dem Originaltext Anforderungen und Controls abgeleitet wurden</li>
<li>Klicken Sie auf "Quelle oeffnen", um das Originaldokument zu pruefen</li>
<li>Klicken Sie auf &quot;Quelle oeffnen&quot;, um das Originaldokument zu pruefen</li>
</ul>
</div>
</div>

View File

@@ -0,0 +1,212 @@
'use client'
export function ArchitectureTab() {
return (
<div className="space-y-8">
{/* What is this module */}
<div className="bg-white dark:bg-gray-800 rounded-2xl shadow-lg border border-gray-200 dark:border-gray-700 p-6">
<h2 className="text-xl font-bold text-gray-900 dark:text-white mb-4">
Was macht dieses Modul?
</h2>
<div className="prose dark:prose-invert max-w-none">
<p className="text-gray-600 dark:text-gray-400">
Das <strong>RAG-Indexierungs-Modul</strong> verarbeitet Dokumente und macht sie fuer die KI-gestuetzte Suche verfuegbar.
Es handelt sich <strong>nicht</strong> um klassisches Machine-Learning-Training, sondern um:
</p>
<ul className="mt-4 space-y-2 text-gray-600 dark:text-gray-400">
<li className="flex items-start gap-2">
<span className="text-blue-500 mt-1">1.</span>
<span><strong>Dokumentenextraktion:</strong> PDFs und Bilder werden per OCR in Text umgewandelt</span>
</li>
<li className="flex items-start gap-2">
<span className="text-blue-500 mt-1">2.</span>
<span><strong>Chunking:</strong> Lange Texte werden in suchbare Abschnitte (1000 Zeichen) aufgeteilt</span>
</li>
<li className="flex items-start gap-2">
<span className="text-blue-500 mt-1">3.</span>
<span><strong>Embedding:</strong> Jeder Chunk wird in einen Vektor (1536 Dimensionen) umgewandelt</span>
</li>
<li className="flex items-start gap-2">
<span className="text-blue-500 mt-1">4.</span>
<span><strong>Indexierung:</strong> Vektoren werden in Qdrant gespeichert fuer semantische Suche</span>
</li>
</ul>
</div>
</div>
{/* Architecture Diagram */}
<div className="bg-white dark:bg-gray-800 rounded-2xl shadow-lg border border-gray-200 dark:border-gray-700 p-6">
<h2 className="text-xl font-bold text-gray-900 dark:text-white mb-6">
Technische Architektur
</h2>
{/* Visual Pipeline */}
<div className="relative">
{/* Data Sources Row */}
<div className="grid grid-cols-4 gap-4 mb-8">
<SourceCard icon="📄" title="NiBiS PDFs" subtitle="Erwartungshorizonte" color="blue" />
<SourceCard icon="📤" title="Uploads" subtitle="Eigene EH" color="green" />
<SourceCard icon="⚖️" title="Rechtskorpus" subtitle="DSGVO, AI Act" color="purple" />
<SourceCard icon="📚" title="Schulordnungen" subtitle="Bundeslaender" color="orange" />
</div>
<ArrowDown />
{/* Processing Layer */}
<div className="bg-gray-50 dark:bg-gray-900 rounded-xl p-6 mb-8">
<h3 className="text-sm font-semibold text-gray-500 dark:text-gray-400 uppercase tracking-wide mb-4">
Verarbeitungs-Pipeline
</h3>
<div className="flex items-center justify-between gap-4">
<PipelineStep icon="🔍" title="OCR" subtitle="Text-Extraktion" />
<ArrowRight />
<PipelineStep icon="✂️" title="Chunking" subtitle="1000 Zeichen" />
<ArrowRight />
<PipelineStep icon="🧮" title="Embedding" subtitle="1536-dim Vektor" />
<ArrowRight />
<PipelineStep icon="💾" title="Speichern" subtitle="Qdrant" />
</div>
</div>
<ArrowDown />
{/* Storage Layer */}
<div className="bg-gradient-to-r from-indigo-50 to-purple-50 dark:from-indigo-900/20 dark:to-purple-900/20 rounded-xl p-6 mb-8 border-2 border-indigo-200 dark:border-indigo-800">
<h3 className="text-sm font-semibold text-indigo-600 dark:text-indigo-400 uppercase tracking-wide mb-4">
Vektor-Datenbank (Qdrant)
</h3>
<div className="grid grid-cols-3 gap-4">
<CollectionCard collection="bp_nibis_eh" label="Offizielle EH" />
<CollectionCard collection="bp_eh" label="Benutzer EH" />
<CollectionCard collection="bp_legal_corpus" label="Rechtskorpus" />
</div>
</div>
<ArrowDown />
{/* Usage Layer */}
<div className="grid grid-cols-2 gap-4">
<div className="p-4 bg-emerald-50 dark:bg-emerald-900/20 rounded-xl border-2 border-emerald-200 dark:border-emerald-800">
<h4 className="font-medium text-emerald-700 dark:text-emerald-400 mb-2">Semantische Suche</h4>
<p className="text-sm text-gray-600 dark:text-gray-400">
Fragen werden in Vektoren umgewandelt und aehnliche Dokumente gefunden
</p>
</div>
<div className="p-4 bg-amber-50 dark:bg-amber-900/20 rounded-xl border-2 border-amber-200 dark:border-amber-800">
<h4 className="font-medium text-amber-700 dark:text-amber-400 mb-2">RAG-Antworten</h4>
<p className="text-sm text-gray-600 dark:text-gray-400">
LLM generiert Antworten basierend auf gefundenen Dokumenten
</p>
</div>
</div>
</div>
</div>
{/* Technical Details */}
<div className="bg-white dark:bg-gray-800 rounded-2xl shadow-lg border border-gray-200 dark:border-gray-700 p-6">
<h2 className="text-xl font-bold text-gray-900 dark:text-white mb-4">
Technische Details
</h2>
<div className="grid grid-cols-2 gap-6">
<div>
<h3 className="font-medium text-gray-900 dark:text-white mb-3">Embedding-Service</h3>
<table className="w-full text-sm">
<tbody className="divide-y divide-gray-200 dark:divide-gray-700">
<tr>
<td className="py-2 text-gray-500 dark:text-gray-400">Modell</td>
<td className="py-2 font-mono text-gray-900 dark:text-white">text-embedding-3-small</td>
</tr>
<tr>
<td className="py-2 text-gray-500 dark:text-gray-400">Dimensionen</td>
<td className="py-2 font-mono text-gray-900 dark:text-white">1536</td>
</tr>
<tr>
<td className="py-2 text-gray-500 dark:text-gray-400">Port</td>
<td className="py-2 font-mono text-gray-900 dark:text-white">8087</td>
</tr>
</tbody>
</table>
</div>
<div>
<h3 className="font-medium text-gray-900 dark:text-white mb-3">Chunk-Konfiguration</h3>
<table className="w-full text-sm">
<tbody className="divide-y divide-gray-200 dark:divide-gray-700">
<tr>
<td className="py-2 text-gray-500 dark:text-gray-400">Chunk-Groesse</td>
<td className="py-2 font-mono text-gray-900 dark:text-white">1000 Zeichen</td>
</tr>
<tr>
<td className="py-2 text-gray-500 dark:text-gray-400">Ueberlappung</td>
<td className="py-2 font-mono text-gray-900 dark:text-white">200 Zeichen</td>
</tr>
<tr>
<td className="py-2 text-gray-500 dark:text-gray-400">Distanzmetrik</td>
<td className="py-2 font-mono text-gray-900 dark:text-white">COSINE</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
</div>
)
}
// --- Internal helper components ---
function SourceCard({ icon, title, subtitle, color }: {
icon: string
title: string
subtitle: string
color: string
}) {
const colorClasses: Record<string, string> = {
blue: 'bg-blue-50 dark:bg-blue-900/20 border-blue-200 dark:border-blue-800',
green: 'bg-green-50 dark:bg-green-900/20 border-green-200 dark:border-green-800',
purple: 'bg-purple-50 dark:bg-purple-900/20 border-purple-200 dark:border-purple-800',
orange: 'bg-orange-50 dark:bg-orange-900/20 border-orange-200 dark:border-orange-800',
}
return (
<div className={`p-4 rounded-xl border-2 text-center ${colorClasses[color]}`}>
<div className="text-3xl mb-2">{icon}</div>
<div className="font-medium text-gray-900 dark:text-white">{title}</div>
<div className="text-xs text-gray-500">{subtitle}</div>
</div>
)
}
function PipelineStep({ icon, title, subtitle }: {
icon: string
title: string
subtitle: string
}) {
return (
<div className="flex-1 p-4 bg-white dark:bg-gray-800 rounded-lg border border-gray-200 dark:border-gray-700 text-center">
<div className="text-2xl mb-1">{icon}</div>
<div className="font-medium text-sm">{title}</div>
<div className="text-xs text-gray-500">{subtitle}</div>
</div>
)
}
function CollectionCard({ collection, label }: { collection: string; label: string }) {
return (
<div className="p-3 bg-white dark:bg-gray-800 rounded-lg text-center">
<div className="font-mono text-xs text-gray-500">{collection}</div>
<div className="font-medium text-gray-900 dark:text-white">{label}</div>
</div>
)
}
function ArrowDown() {
return (
<div className="flex justify-center mb-4">
<div className="text-4xl text-gray-400"></div>
</div>
)
}
function ArrowRight() {
return <div className="text-2xl text-gray-400"></div>
}

View File

@@ -0,0 +1,171 @@
'use client'
import type { DataSource } from '../types'
export function DataSourcesTab({ sources }: { sources: DataSource[] }) {
return (
<div className="space-y-6">
{/* Introduction */}
<div className="bg-blue-50 dark:bg-blue-900/20 rounded-xl p-6 border border-blue-200 dark:border-blue-800">
<h2 className="text-lg font-semibold text-blue-900 dark:text-blue-100 mb-2">
Wie werden Daten hinzugefuegt?
</h2>
<p className="text-blue-800 dark:text-blue-200 mb-4">
Das RAG-System nutzt verschiedene Datenquellen. Jede Quelle hat einen eigenen Ingestion-Prozess:
</p>
<div className="grid grid-cols-2 gap-4 text-sm">
<div className="bg-white dark:bg-gray-800 rounded-lg p-4">
<div className="font-medium text-gray-900 dark:text-white mb-1">Automatisch</div>
<p className="text-gray-600 dark:text-gray-400">
NiBiS-PDFs werden automatisch aus dem za-download Verzeichnis eingelesen
</p>
</div>
<div className="bg-white dark:bg-gray-800 rounded-lg p-4">
<div className="font-medium text-gray-900 dark:text-white mb-1">Manuell</div>
<p className="text-gray-600 dark:text-gray-400">
Eigene EH koennen ueber die Klausur-Korrektur hochgeladen werden
</p>
</div>
</div>
</div>
{/* Data Sources List */}
<div className="grid gap-4">
{sources.map((source) => (
<DataSourceCard key={source.id} source={source} />
))}
</div>
{/* How to add data */}
<div className="bg-white dark:bg-gray-800 rounded-2xl shadow-lg border border-gray-200 dark:border-gray-700 p-6">
<h2 className="text-lg font-semibold text-gray-900 dark:text-white mb-4">
Daten hinzufuegen
</h2>
<div className="grid grid-cols-3 gap-6">
<AddDataCard
icon="📤"
title="Erwartungshorizont hochladen"
description="Laden Sie eigene EH-Dokumente in der Klausur-Korrektur hoch"
linkHref="/admin/klausur-korrektur"
linkText="Zur Klausur-Korrektur →"
/>
<AddDataCard
icon="🔄"
title="NiBiS neu einlesen"
description="Starten Sie die automatische Ingestion der NiBiS-PDFs"
linkText="Ingestion starten →"
/>
<AddDataCard
icon="⚖️"
title="Rechtskorpus erweitern"
description="Neue Regelwerke (DSGVO, BSI, etc.) zum Korpus hinzufuegen"
linkText="Regelwerk hinzufuegen →"
/>
<AddDataCard
icon="📋"
title="DSFA-Quellen verwalten"
description="WP248, DSK, Muss-Listen mit Lizenzattribution"
linkHref="/ai/rag-pipeline/dsfa"
linkText="DSFA-Manager oeffnen →"
/>
</div>
</div>
</div>
)
}
// --- Internal helper components ---
function DataSourceCard({ source }: { source: DataSource }) {
return (
<div className="bg-white dark:bg-gray-800 rounded-2xl shadow-lg border border-gray-200 dark:border-gray-700 p-6">
<div className="flex items-start justify-between">
<div className="flex-1">
<div className="flex items-center gap-3 mb-2">
<h3 className="text-lg font-semibold text-gray-900 dark:text-white">
{source.name}
</h3>
<DataSourceStatusBadge status={source.status} />
</div>
<p className="text-gray-600 dark:text-gray-400 mb-4">
{source.description}
</p>
<div className="flex items-center gap-6 text-sm">
<div>
<span className="text-gray-500 dark:text-gray-400">Collection: </span>
<span className="font-mono text-gray-900 dark:text-white">{source.collection}</span>
</div>
<div>
<span className="text-gray-500 dark:text-gray-400">Dokumente: </span>
<span className="font-semibold text-gray-900 dark:text-white">{source.document_count}</span>
</div>
<div>
<span className="text-gray-500 dark:text-gray-400">Chunks: </span>
<span className="font-semibold text-gray-900 dark:text-white">{source.chunk_count}</span>
</div>
{source.last_updated && (
<div>
<span className="text-gray-500 dark:text-gray-400">Aktualisiert: </span>
<span className="text-gray-900 dark:text-white">
{new Date(source.last_updated).toLocaleDateString('de-DE')}
</span>
</div>
)}
</div>
</div>
<div className="flex gap-2">
<button className="px-4 py-2 text-sm font-medium text-blue-600 hover:bg-blue-50 dark:hover:bg-blue-900/20 rounded-lg">
Aktualisieren
</button>
<button className="px-4 py-2 text-sm font-medium text-gray-600 hover:bg-gray-100 dark:hover:bg-gray-700 rounded-lg">
Details
</button>
</div>
</div>
</div>
)
}
function DataSourceStatusBadge({ status }: { status: DataSource['status'] }) {
const className = status === 'active'
? 'bg-green-100 text-green-800 dark:bg-green-900 dark:text-green-200'
: status === 'pending'
? 'bg-yellow-100 text-yellow-800 dark:bg-yellow-900 dark:text-yellow-200'
: 'bg-red-100 text-red-800 dark:bg-red-900 dark:text-red-200'
const label = status === 'active' ? 'Aktiv' : status === 'pending' ? 'Ausstehend' : 'Fehler'
return (
<span className={`px-2 py-0.5 rounded-full text-xs font-medium ${className}`}>
{label}
</span>
)
}
function AddDataCard({ icon, title, description, linkHref, linkText }: {
icon: string
title: string
description: string
linkHref?: string
linkText: string
}) {
return (
<div className="p-4 bg-gray-50 dark:bg-gray-900 rounded-xl">
<div className="text-2xl mb-2">{icon}</div>
<h3 className="font-medium text-gray-900 dark:text-white mb-2">{title}</h3>
<p className="text-sm text-gray-600 dark:text-gray-400 mb-3">{description}</p>
{linkHref ? (
<a
href={linkHref}
className="text-sm text-blue-600 hover:text-blue-800 dark:text-blue-400"
>
{linkText}
</a>
) : (
<button className="text-sm text-blue-600 hover:text-blue-800 dark:text-blue-400">
{linkText}
</button>
)}
</div>
)
}

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'use client'
import type { DatasetStats } from '../types'
export function DatasetOverview({ stats }: { stats: DatasetStats }) {
const maxBundesland = Math.max(...Object.values(stats.by_bundesland))
return (
<div className="bg-white dark:bg-gray-800 rounded-2xl shadow-lg border border-gray-200 dark:border-gray-700 p-6">
<h3 className="text-lg font-semibold text-gray-900 dark:text-white mb-4">
Datensatz-Uebersicht
</h3>
<div className="grid grid-cols-3 gap-4 mb-6">
<div className="text-center p-4 bg-blue-50 dark:bg-blue-900/20 rounded-xl">
<p className="text-3xl font-bold text-blue-600 dark:text-blue-400">
{stats.total_documents.toLocaleString()}
</p>
<p className="text-sm text-gray-600 dark:text-gray-400">Dokumente</p>
</div>
<div className="text-center p-4 bg-emerald-50 dark:bg-emerald-900/20 rounded-xl">
<p className="text-3xl font-bold text-emerald-600 dark:text-emerald-400">
{stats.total_chunks.toLocaleString()}
</p>
<p className="text-sm text-gray-600 dark:text-gray-400">Chunks</p>
</div>
<div className="text-center p-4 bg-purple-50 dark:bg-purple-900/20 rounded-xl">
<p className="text-3xl font-bold text-purple-600 dark:text-purple-400">
{stats.training_allowed.toLocaleString()}
</p>
<p className="text-sm text-gray-600 dark:text-gray-400">Indexiert</p>
</div>
</div>
<h4 className="text-sm font-medium text-gray-700 dark:text-gray-300 mb-3">
Verteilung nach Bundesland
</h4>
<div className="space-y-2">
{Object.entries(stats.by_bundesland)
.sort((a, b) => b[1] - a[1])
.map(([code, count]) => (
<div key={code} className="flex items-center gap-3">
<span className="w-8 text-xs font-medium text-gray-600 dark:text-gray-400 uppercase">
{code}
</span>
<div className="flex-1 h-4 bg-gray-100 dark:bg-gray-700 rounded-full overflow-hidden">
<div
className="h-full bg-gradient-to-r from-blue-500 to-blue-600 rounded-full"
style={{ width: `${(count / maxBundesland) * 100}%` }}
/>
</div>
<span className="w-10 text-sm text-right text-gray-600 dark:text-gray-400">
{count}
</span>
</div>
))}
</div>
</div>
)
}

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'use client'
import { useState } from 'react'
import type { TrainingConfig } from '../types'
const BUNDESLAENDER = [
{ code: 'ni', name: 'Niedersachsen', allowed: true },
{ code: 'by', name: 'Bayern', allowed: true },
{ code: 'nw', name: 'NRW', allowed: true },
{ code: 'he', name: 'Hessen', allowed: true },
{ code: 'bw', name: 'Baden-Wuerttemberg', allowed: true },
{ code: 'rp', name: 'Rheinland-Pfalz', allowed: true },
{ code: 'sn', name: 'Sachsen', allowed: true },
{ code: 'sh', name: 'Schleswig-Holstein', allowed: true },
{ code: 'th', name: 'Thueringen', allowed: true },
{ code: 'be', name: 'Berlin', allowed: false },
{ code: 'bb', name: 'Brandenburg', allowed: false },
{ code: 'hb', name: 'Bremen', allowed: false },
{ code: 'hh', name: 'Hamburg', allowed: false },
{ code: 'mv', name: 'Mecklenburg-Vorpommern', allowed: false },
{ code: 'sl', name: 'Saarland', allowed: false },
{ code: 'st', name: 'Sachsen-Anhalt', allowed: false },
]
export function NewTrainingModal({ isOpen, onClose, onSubmit }: {
isOpen: boolean
onClose: () => void
onSubmit: (config: Partial<TrainingConfig>) => void
}) {
const [step, setStep] = useState(1)
const [config, setConfig] = useState<Partial<TrainingConfig>>({
batch_size: 16,
learning_rate: 0.00005,
epochs: 10,
warmup_steps: 500,
weight_decay: 0.01,
gradient_accumulation: 4,
mixed_precision: true,
bundeslaender: [],
})
if (!isOpen) return null
return (
<div className="fixed inset-0 z-50 flex items-center justify-center bg-black/50 backdrop-blur-sm">
<div className="bg-white dark:bg-gray-800 rounded-2xl shadow-2xl w-full max-w-2xl max-h-[90vh] overflow-hidden">
{/* Header */}
<div className="px-6 py-4 border-b border-gray-200 dark:border-gray-700 flex justify-between items-center">
<div>
<h2 className="text-xl font-semibold text-gray-900 dark:text-white">
Neue Indexierung starten
</h2>
<p className="text-sm text-gray-500">Schritt {step} von 3</p>
</div>
<button onClick={onClose} className="p-2 hover:bg-gray-100 dark:hover:bg-gray-700 rounded-lg">
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M6 18L18 6M6 6l12 12" />
</svg>
</button>
</div>
{/* Step Indicator */}
<StepIndicator currentStep={step} />
{/* Step Content */}
<div className="p-6 overflow-y-auto max-h-[50vh]">
{step === 1 && (
<BundeslaenderStep config={config} setConfig={setConfig} />
)}
{step === 2 && (
<ParameterStep config={config} setConfig={setConfig} />
)}
{step === 3 && (
<ConfirmStep config={config} />
)}
</div>
{/* Footer */}
<div className="px-6 py-4 border-t border-gray-200 dark:border-gray-700 flex justify-between">
<button
onClick={() => step > 1 ? setStep(step - 1) : onClose()}
className="px-4 py-2 text-sm font-medium text-gray-700 dark:text-gray-300 bg-white dark:bg-gray-800 border border-gray-300 dark:border-gray-600 rounded-lg hover:bg-gray-50 dark:hover:bg-gray-700"
>
{step > 1 ? 'Zurueck' : 'Abbrechen'}
</button>
<button
onClick={() => step < 3 ? setStep(step + 1) : onSubmit(config)}
disabled={step === 1 && (!config.bundeslaender || config.bundeslaender.length === 0)}
className="px-6 py-2 text-sm font-medium text-white bg-blue-600 rounded-lg hover:bg-blue-700 disabled:opacity-50 disabled:cursor-not-allowed"
>
{step < 3 ? 'Weiter' : 'Indexierung starten'}
</button>
</div>
</div>
</div>
)
}
// --- Internal step components ---
function StepIndicator({ currentStep }: { currentStep: number }) {
return (
<div className="px-6 py-4 bg-gray-50 dark:bg-gray-900">
<div className="flex items-center justify-center gap-4">
{[1, 2, 3].map((s) => (
<div key={s} className="flex items-center">
<div className={`w-8 h-8 rounded-full flex items-center justify-center text-sm font-medium ${
s <= currentStep
? 'bg-blue-600 text-white'
: 'bg-gray-200 dark:bg-gray-700 text-gray-500'
}`}>
{s < currentStep ? '\u2713' : s}
</div>
{s < 3 && (
<div className={`w-16 h-1 mx-2 rounded ${
s < currentStep ? 'bg-blue-600' : 'bg-gray-200 dark:bg-gray-700'
}`} />
)}
</div>
))}
</div>
<div className="flex justify-center gap-20 mt-2 text-xs text-gray-500">
<span>Daten</span>
<span>Parameter</span>
<span>Bestaetigen</span>
</div>
</div>
)
}
function BundeslaenderStep({ config, setConfig }: {
config: Partial<TrainingConfig>
setConfig: (config: Partial<TrainingConfig>) => void
}) {
return (
<div>
<h3 className="font-medium text-gray-900 dark:text-white mb-4">
Waehlen Sie die Bundeslaender fuer die Indexierung
</h3>
<p className="text-sm text-gray-500 dark:text-gray-400 mb-4">
Nur Bundeslaender mit verfuegbaren Dokumenten koennen ausgewaehlt werden.
</p>
<div className="grid grid-cols-2 gap-3">
{BUNDESLAENDER.map((bl) => (
<label
key={bl.code}
className={`flex items-center p-3 rounded-lg border-2 transition cursor-pointer ${
config.bundeslaender?.includes(bl.code)
? 'border-blue-500 bg-blue-50 dark:bg-blue-900/20'
: bl.allowed
? 'border-gray-200 dark:border-gray-700 hover:border-blue-300'
: 'border-gray-200 dark:border-gray-700 opacity-50 cursor-not-allowed'
}`}
>
<input
type="checkbox"
disabled={!bl.allowed}
checked={config.bundeslaender?.includes(bl.code)}
onChange={(e) => {
if (e.target.checked) {
setConfig({ ...config, bundeslaender: [...(config.bundeslaender || []), bl.code] })
} else {
setConfig({ ...config, bundeslaender: config.bundeslaender?.filter(c => c !== bl.code) })
}
}}
className="sr-only"
/>
<span className={`w-5 h-5 rounded border-2 flex items-center justify-center mr-3 ${
config.bundeslaender?.includes(bl.code)
? 'bg-blue-500 border-blue-500 text-white'
: 'border-gray-300 dark:border-gray-600'
}`}>
{config.bundeslaender?.includes(bl.code) && '\u2713'}
</span>
<span className="flex-1 text-gray-900 dark:text-white">{bl.name}</span>
{!bl.allowed && (
<span className="text-xs text-red-500">Keine Daten</span>
)}
</label>
))}
</div>
</div>
)
}
function ParameterStep({ config, setConfig }: {
config: Partial<TrainingConfig>
setConfig: (config: Partial<TrainingConfig>) => void
}) {
return (
<div className="space-y-6">
<h3 className="font-medium text-gray-900 dark:text-white mb-4">
Indexierungs-Parameter
</h3>
<p className="text-sm text-gray-500 dark:text-gray-400">
Diese Parameter steuern die Batch-Verarbeitung der Dokumente.
</p>
<div className="grid grid-cols-2 gap-4">
<div>
<label className="block text-sm font-medium text-gray-700 dark:text-gray-300 mb-1">
Batch Size
</label>
<input
type="number"
value={config.batch_size}
onChange={(e) => setConfig({ ...config, batch_size: parseInt(e.target.value) })}
className="w-full px-3 py-2 border border-gray-300 dark:border-gray-600 rounded-lg bg-white dark:bg-gray-700"
/>
<p className="text-xs text-gray-500 mt-1">Dokumente pro Batch</p>
</div>
<div>
<label className="block text-sm font-medium text-gray-700 dark:text-gray-300 mb-1">
Durchlaeufe
</label>
<input
type="number"
value={config.epochs}
onChange={(e) => setConfig({ ...config, epochs: parseInt(e.target.value) })}
className="w-full px-3 py-2 border border-gray-300 dark:border-gray-600 rounded-lg bg-white dark:bg-gray-700"
/>
<p className="text-xs text-gray-500 mt-1">Fuer Validierung</p>
</div>
</div>
<div className="flex items-center gap-3 p-4 bg-gray-50 dark:bg-gray-900 rounded-lg">
<input
type="checkbox"
id="mixedPrecision"
checked={config.mixed_precision}
onChange={(e) => setConfig({ ...config, mixed_precision: e.target.checked })}
className="w-4 h-4 text-blue-600 rounded"
/>
<label htmlFor="mixedPrecision" className="text-sm text-gray-700 dark:text-gray-300">
Parallele Verarbeitung - schneller bei grossem Datensatz
</label>
</div>
</div>
)
}
function ConfirmStep({ config }: { config: Partial<TrainingConfig> }) {
return (
<div>
<h3 className="font-medium text-gray-900 dark:text-white mb-4">
Konfiguration bestaetigen
</h3>
<div className="bg-gray-50 dark:bg-gray-900 rounded-lg p-4 space-y-3">
<div className="flex justify-between">
<span className="text-gray-600 dark:text-gray-400">Bundeslaender</span>
<span className="font-medium text-gray-900 dark:text-white">
{config.bundeslaender?.length || 0} ausgewaehlt
</span>
</div>
<div className="flex justify-between">
<span className="text-gray-600 dark:text-gray-400">Batch Size</span>
<span className="font-medium text-gray-900 dark:text-white">{config.batch_size}</span>
</div>
<div className="flex justify-between">
<span className="text-gray-600 dark:text-gray-400">Parallele Verarbeitung</span>
<span className="font-medium text-gray-900 dark:text-white">
{config.mixed_precision ? 'Aktiviert' : 'Deaktiviert'}
</span>
</div>
</div>
<div className="mt-4 p-4 bg-blue-50 dark:bg-blue-900/20 border border-blue-200 dark:border-blue-800 rounded-lg">
<p className="text-sm text-blue-800 dark:text-blue-200">
<strong>Was passiert:</strong> Die ausgewaehlten Dokumente werden extrahiert,
in Chunks aufgeteilt, und als Vektoren in Qdrant indexiert.
Dieser Prozess kann je nach Datenmenge einige Minuten dauern.
</p>
</div>
</div>
)
}

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'use client'
import type { TrainingJob } from '../types'
// Tab Button
export function TabButton({ active, onClick, children }: {
active: boolean
onClick: () => void
children: React.ReactNode
}) {
return (
<button
onClick={onClick}
className={`px-4 py-2 text-sm font-medium rounded-lg transition-colors ${
active
? 'bg-blue-600 text-white'
: 'text-gray-600 dark:text-gray-400 hover:bg-gray-100 dark:hover:bg-gray-700'
}`}
>
{children}
</button>
)
}
// Progress Ring Component
export function ProgressRing({ progress, size = 120, strokeWidth = 8, color = '#10B981' }: {
progress: number
size?: number
strokeWidth?: number
color?: string
}) {
const radius = (size - strokeWidth) / 2
const circumference = radius * 2 * Math.PI
const offset = circumference - (progress / 100) * circumference
return (
<div className="relative" style={{ width: size, height: size }}>
<svg className="transform -rotate-90" width={size} height={size}>
<circle
cx={size / 2}
cy={size / 2}
r={radius}
stroke="currentColor"
strokeWidth={strokeWidth}
fill="none"
className="text-gray-200 dark:text-gray-700"
/>
<circle
cx={size / 2}
cy={size / 2}
r={radius}
stroke={color}
strokeWidth={strokeWidth}
fill="none"
strokeDasharray={circumference}
strokeDashoffset={offset}
strokeLinecap="round"
className="transition-all duration-500"
/>
</svg>
<div className="absolute inset-0 flex items-center justify-center">
<span className="text-2xl font-bold text-gray-900 dark:text-white">
{Math.round(progress)}%
</span>
</div>
</div>
)
}
// Mini Line Chart Component
export function MiniChart({ data, color = '#10B981', height = 60 }: {
data: number[]
color?: string
height?: number
}) {
if (!data.length) return null
const max = Math.max(...data)
const min = Math.min(...data)
const range = max - min || 1
const width = 200
const padding = 4
const points = data.map((value, i) => {
const x = padding + (i / (data.length - 1)) * (width - 2 * padding)
const y = padding + (1 - (value - min) / range) * (height - 2 * padding)
return `${x},${y}`
}).join(' ')
return (
<svg width={width} height={height} className="overflow-visible">
<polyline
points={points}
fill="none"
stroke={color}
strokeWidth={2}
strokeLinecap="round"
strokeLinejoin="round"
/>
{data.length > 0 && (
<circle
cx={padding + ((data.length - 1) / (data.length - 1)) * (width - 2 * padding)}
cy={padding + (1 - (data[data.length - 1] - min) / range) * (height - 2 * padding)}
r={4}
fill={color}
/>
)}
</svg>
)
}
// Status Badge
export function StatusBadge({ status }: { status: TrainingJob['status'] }) {
const styles = {
queued: 'bg-gray-100 text-gray-800 dark:bg-gray-700 dark:text-gray-300',
preparing: 'bg-yellow-100 text-yellow-800 dark:bg-yellow-900 dark:text-yellow-200',
training: 'bg-blue-100 text-blue-800 dark:bg-blue-900 dark:text-blue-200',
validating: 'bg-purple-100 text-purple-800 dark:bg-purple-900 dark:text-purple-200',
completed: 'bg-green-100 text-green-800 dark:bg-green-900 dark:text-green-200',
failed: 'bg-red-100 text-red-800 dark:bg-red-900 dark:text-red-200',
paused: 'bg-orange-100 text-orange-800 dark:bg-orange-900 dark:text-orange-200',
}
const labels = {
queued: 'In Warteschlange',
preparing: 'Vorbereitung',
training: 'Indexierung laeuft',
validating: 'Validierung',
completed: 'Abgeschlossen',
failed: 'Fehlgeschlagen',
paused: 'Pausiert',
}
return (
<span className={`inline-flex items-center px-2.5 py-0.5 rounded-full text-xs font-medium ${styles[status]}`}>
{status === 'training' && (
<span className="w-2 h-2 mr-1.5 bg-blue-500 rounded-full animate-pulse" />
)}
{labels[status]}
</span>
)
}
// Metric Card
export function MetricCard({ label, value, trend, color }: {
label: string
value: number | string
trend?: 'up' | 'down' | 'neutral'
color?: string
}) {
return (
<div className="bg-white dark:bg-gray-800 rounded-xl p-4 shadow-sm border border-gray-200 dark:border-gray-700">
<p className="text-sm text-gray-500 dark:text-gray-400 mb-1">{label}</p>
<div className="flex items-baseline gap-1">
<span className="text-2xl font-bold" style={{ color: color || 'inherit' }}>
{typeof value === 'number' ? value.toFixed(3) : value}
</span>
{trend && (
<span className={`ml-2 text-sm ${
trend === 'up' ? 'text-green-500' : trend === 'down' ? 'text-red-500' : 'text-gray-400'
}`}>
{trend === 'up' ? '\u2191' : trend === 'down' ? '\u2193' : '\u2192'}
</span>
)}
</div>
</div>
)
}

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'use client'
import type { TrainingJob } from '../types'
import { ProgressRing, MiniChart, StatusBadge, MetricCard } from './SharedWidgets'
export function TrainingJobCard({ job, onPause, onResume, onStop, onViewDetails }: {
job: TrainingJob
onPause: () => void
onResume: () => void
onStop: () => void
onViewDetails: () => void
}) {
const isActive = ['training', 'preparing', 'validating'].includes(job.status)
return (
<div className="bg-white dark:bg-gray-800 rounded-2xl shadow-lg border border-gray-200 dark:border-gray-700 overflow-hidden">
<div className="px-6 py-4 border-b border-gray-200 dark:border-gray-700 flex justify-between items-center">
<div>
<h3 className="text-lg font-semibold text-gray-900 dark:text-white">{job.name}</h3>
<p className="text-sm text-gray-500 dark:text-gray-400">
Typ: {job.model_type.charAt(0).toUpperCase() + job.model_type.slice(1)}
</p>
</div>
<StatusBadge status={job.status} />
</div>
<div className="p-6">
<div className="flex items-center gap-8">
<ProgressRing
progress={job.progress}
color={job.status === 'failed' ? '#EF4444' : '#10B981'}
/>
<div className="flex-1 space-y-4">
<div>
<div className="flex justify-between text-sm mb-1">
<span className="text-gray-600 dark:text-gray-400">Durchlauf</span>
<span className="font-medium text-gray-900 dark:text-white">
{job.current_epoch} / {job.total_epochs}
</span>
</div>
<div className="h-2 bg-gray-200 dark:bg-gray-700 rounded-full overflow-hidden">
<div
className="h-full bg-gradient-to-r from-blue-500 to-blue-600 rounded-full transition-all duration-500"
style={{ width: `${(job.current_epoch / job.total_epochs) * 100}%` }}
/>
</div>
</div>
<div>
<div className="flex justify-between text-sm mb-1">
<span className="text-gray-600 dark:text-gray-400">Dokumente</span>
<span className="font-medium text-gray-900 dark:text-white">
{job.documents_processed.toLocaleString()} / {job.total_documents.toLocaleString()}
</span>
</div>
<div className="h-2 bg-gray-200 dark:bg-gray-700 rounded-full overflow-hidden">
<div
className="h-full bg-gradient-to-r from-emerald-500 to-emerald-600 rounded-full transition-all duration-500"
style={{ width: `${(job.documents_processed / job.total_documents) * 100}%` }}
/>
</div>
</div>
</div>
</div>
<div className="grid grid-cols-4 gap-3 mt-6">
<MetricCard label="Loss" value={job.loss} trend="down" color="#3B82F6" />
<MetricCard label="Val Loss" value={job.val_loss} trend="down" color="#8B5CF6" />
<MetricCard label="Precision" value={job.metrics.precision} color="#10B981" />
<MetricCard label="F1 Score" value={job.metrics.f1_score} color="#F59E0B" />
</div>
<div className="mt-6 p-4 bg-gray-50 dark:bg-gray-900 rounded-xl">
<div className="flex justify-between items-center mb-3">
<span className="text-sm font-medium text-gray-700 dark:text-gray-300">
Fortschritt
</span>
</div>
<div className="flex gap-4">
<MiniChart data={job.metrics.loss_history} color="#3B82F6" />
<MiniChart data={job.metrics.val_loss_history} color="#8B5CF6" />
</div>
</div>
<div className="mt-4 flex justify-between text-sm text-gray-500 dark:text-gray-400">
<span>
Gestartet: {job.started_at ? new Date(job.started_at).toLocaleTimeString('de-DE') : '-'}
</span>
<span>
Geschaetzt: {job.estimated_completion
? new Date(job.estimated_completion).toLocaleTimeString('de-DE')
: '-'
}
</span>
</div>
</div>
<div className="px-6 py-4 bg-gray-50 dark:bg-gray-900 border-t border-gray-200 dark:border-gray-700 flex justify-between">
<button
onClick={onViewDetails}
className="px-4 py-2 text-sm font-medium text-blue-600 hover:text-blue-800 dark:text-blue-400"
>
Details anzeigen
</button>
<div className="flex gap-2">
{isActive && (
<>
<button
onClick={job.status === 'paused' ? onResume : onPause}
className="px-4 py-2 text-sm font-medium text-gray-700 dark:text-gray-300 bg-white dark:bg-gray-800 border border-gray-300 dark:border-gray-600 rounded-lg hover:bg-gray-50 dark:hover:bg-gray-700"
>
{job.status === 'paused' ? 'Fortsetzen' : 'Pausieren'}
</button>
<button
onClick={onStop}
className="px-4 py-2 text-sm font-medium text-red-600 bg-red-50 dark:bg-red-900/20 border border-red-200 dark:border-red-800 rounded-lg hover:bg-red-100 dark:hover:bg-red-900/40"
>
Abbrechen
</button>
</>
)}
</div>
</div>
</div>
)
}

View File

@@ -0,0 +1,146 @@
import type { TrainingJob, TrainingConfig, DatasetStats, DataSource } from './types'
// ============================================================================
// MOCK DATA
// ============================================================================
export const MOCK_JOBS: TrainingJob[] = []
export const MOCK_STATS: DatasetStats = {
total_documents: 632,
total_chunks: 8547,
training_allowed: 489,
by_bundesland: {
ni: 87, by: 92, nw: 78, he: 65, bw: 71, rp: 43, sn: 38, sh: 34, th: 29,
},
by_doc_type: {
verordnung: 312,
schulordnung: 156,
handreichung: 98,
erlass: 66,
},
}
export const MOCK_DATA_SOURCES: DataSource[] = [
{
id: 'nibis',
name: 'NiBiS Erwartungshorizonte',
description: 'Offizielle Abitur-Erwartungshorizonte vom Niedersaechsischen Bildungsserver',
collection: 'bp_nibis_eh',
document_count: 245,
chunk_count: 3200,
last_updated: '2025-01-15T10:30:00Z',
status: 'active',
},
{
id: 'user_eh',
name: 'Benutzerdefinierte EH',
description: 'Von Lehrern hochgeladene schulspezifische Erwartungshorizonte',
collection: 'bp_eh',
document_count: 87,
chunk_count: 1100,
last_updated: '2025-01-20T14:15:00Z',
status: 'active',
},
{
id: 'legal',
name: 'Rechtskorpus',
description: 'DSGVO, AI Act, BSI-Standards und weitere Compliance-Regelwerke',
collection: 'bp_legal_corpus',
document_count: 19,
chunk_count: 2400,
last_updated: '2025-01-10T08:00:00Z',
status: 'active',
},
{
id: 'dsfa',
name: 'DSFA-Guidance',
description: 'WP248, DSK Kurzpapiere, Muss-Listen aller Bundeslaender mit Quellenattribution',
collection: 'bp_dsfa_corpus',
document_count: 45,
chunk_count: 850,
last_updated: '2026-02-09T10:00:00Z',
status: 'active',
},
{
id: 'schulordnungen',
name: 'Schulordnungen',
description: 'Landesschulordnungen und Zeugnisverordnungen aller Bundeslaender',
collection: 'bp_schulordnungen',
document_count: 156,
chunk_count: 1847,
last_updated: null,
status: 'pending',
},
]
// ============================================================================
// API FUNCTIONS
// ============================================================================
export async function fetchJobs(): Promise<TrainingJob[]> {
try {
const response = await fetch('/api/ai/rag-pipeline?action=jobs')
if (!response.ok) throw new Error('Failed to fetch jobs')
return await response.json()
} catch (error) {
console.error('Error fetching jobs:', error)
return MOCK_JOBS
}
}
export async function fetchDatasetStats(): Promise<DatasetStats> {
try {
const response = await fetch('/api/ai/rag-pipeline?action=dataset-stats')
if (!response.ok) throw new Error('Failed to fetch stats')
return await response.json()
} catch (error) {
console.error('Error fetching stats:', error)
return MOCK_STATS
}
}
export async function createTrainingJob(config: Partial<TrainingConfig>): Promise<{id: string, status: string}> {
const response = await fetch('/api/ai/rag-pipeline?action=create-job', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
name: `RAG-Index ${new Date().toLocaleDateString('de-DE')}`,
model_type: 'zeugnis',
bundeslaender: config.bundeslaender || [],
batch_size: config.batch_size || 16,
learning_rate: config.learning_rate || 0.00005,
epochs: config.epochs || 10,
warmup_steps: config.warmup_steps || 500,
weight_decay: config.weight_decay || 0.01,
gradient_accumulation: config.gradient_accumulation || 4,
mixed_precision: config.mixed_precision ?? true,
}),
})
if (!response.ok) {
const error = await response.json()
throw new Error(error.detail || 'Failed to create job')
}
return await response.json()
}
export async function pauseJob(jobId: string): Promise<void> {
const response = await fetch(`/api/ai/rag-pipeline?action=pause&job_id=${jobId}`, {
method: 'POST',
})
if (!response.ok) throw new Error('Failed to pause job')
}
export async function resumeJob(jobId: string): Promise<void> {
const response = await fetch(`/api/ai/rag-pipeline?action=resume&job_id=${jobId}`, {
method: 'POST',
})
if (!response.ok) throw new Error('Failed to resume job')
}
export async function cancelJob(jobId: string): Promise<void> {
const response = await fetch(`/api/ai/rag-pipeline?action=cancel&job_id=${jobId}`, {
method: 'POST',
})
if (!response.ok) throw new Error('Failed to cancel job')
}

View File

@@ -0,0 +1,61 @@
'use client'
import React from 'react'
import { Scale, CheckCircle, Clock, AlertCircle } from 'lucide-react'
import {
DSFALicenseCode,
DSFA_LICENSE_LABELS,
DSFA_DOCUMENT_TYPE_LABELS,
} from '@/lib/sdk/types'
export function LicenseBadge({ licenseCode }: { licenseCode: DSFALicenseCode }) {
const colorMap: Record<DSFALicenseCode, string> = {
'DL-DE-BY-2.0': 'bg-blue-100 text-blue-700 border-blue-200',
'DL-DE-ZERO-2.0': 'bg-gray-100 text-gray-700 border-gray-200',
'CC-BY-4.0': 'bg-green-100 text-green-700 border-green-200',
'EDPB-LICENSE': 'bg-purple-100 text-purple-700 border-purple-200',
'PUBLIC_DOMAIN': 'bg-gray-100 text-gray-600 border-gray-200',
'PROPRIETARY': 'bg-amber-100 text-amber-700 border-amber-200',
}
return (
<span className={`inline-flex items-center gap-1 px-2 py-0.5 rounded text-xs border ${colorMap[licenseCode] || 'bg-gray-100 text-gray-700 border-gray-200'}`}>
<Scale className="w-3 h-3" />
{DSFA_LICENSE_LABELS[licenseCode] || licenseCode}
</span>
)
}
export function DocumentTypeBadge({ type }: { type?: string }) {
if (!type) return null
const colorMap: Record<string, string> = {
guideline: 'bg-indigo-100 text-indigo-700',
checklist: 'bg-emerald-100 text-emerald-700',
regulation: 'bg-red-100 text-red-700',
template: 'bg-orange-100 text-orange-700',
}
return (
<span className={`inline-flex items-center px-2 py-0.5 rounded text-xs ${colorMap[type] || 'bg-gray-100 text-gray-700'}`}>
{DSFA_DOCUMENT_TYPE_LABELS[type as keyof typeof DSFA_DOCUMENT_TYPE_LABELS] || type}
</span>
)
}
export function StatusIndicator({ status }: { status: string }) {
const statusConfig: Record<string, { color: string; icon: React.ReactNode; label: string }> = {
green: { color: 'text-green-500', icon: <CheckCircle className="w-4 h-4" />, label: 'Aktiv' },
yellow: { color: 'text-yellow-500', icon: <Clock className="w-4 h-4" />, label: 'Ausstehend' },
red: { color: 'text-red-500', icon: <AlertCircle className="w-4 h-4" />, label: 'Fehler' },
}
const config = statusConfig[status] || statusConfig.yellow
return (
<span className={`inline-flex items-center gap-1 ${config.color}`}>
{config.icon}
<span className="text-sm">{config.label}</span>
</span>
)
}

View File

@@ -0,0 +1,137 @@
'use client'
import { useState } from 'react'
import {
RefreshCw,
ChevronDown,
ChevronUp,
ExternalLink,
} from 'lucide-react'
import { DSFASource, DSFASourceStats } from '@/lib/sdk/types'
import { LicenseBadge, DocumentTypeBadge } from './DSFABadges'
interface SourceCardProps {
source: DSFASource
stats?: DSFASourceStats
onIngest: () => void
isIngesting: boolean
}
export function SourceCard({ source, stats, onIngest, isIngesting }: SourceCardProps) {
const [isExpanded, setIsExpanded] = useState(false)
return (
<div className="bg-white dark:bg-gray-800 rounded-xl border border-gray-200 dark:border-gray-700 overflow-hidden">
<div className="p-4">
<div className="flex items-start justify-between">
<div className="flex-1 min-w-0">
<div className="flex items-center gap-2 mb-1">
<span className="font-mono text-xs bg-gray-100 dark:bg-gray-700 px-2 py-0.5 rounded">
{source.sourceCode}
</span>
<DocumentTypeBadge type={source.documentType} />
</div>
<h3 className="font-semibold text-gray-900 dark:text-white truncate">
{source.name}
</h3>
{source.organization && (
<p className="text-sm text-gray-500 dark:text-gray-400">
{source.organization}
</p>
)}
</div>
<button
onClick={() => setIsExpanded(!isExpanded)}
className="p-1 hover:bg-gray-100 dark:hover:bg-gray-700 rounded"
>
{isExpanded ? (
<ChevronUp className="w-5 h-5 text-gray-400" />
) : (
<ChevronDown className="w-5 h-5 text-gray-400" />
)}
</button>
</div>
<div className="flex items-center gap-4 mt-3">
<LicenseBadge licenseCode={source.licenseCode} />
{stats && (
<>
<span className="text-sm text-gray-500">
{stats.documentCount} Dok.
</span>
<span className="text-sm text-gray-500">
{stats.chunkCount} Chunks
</span>
</>
)}
</div>
{source.attributionRequired && (
<div className="mt-3 p-2 bg-amber-50 dark:bg-amber-900/20 rounded text-xs text-amber-700 dark:text-amber-300">
<strong>Attribution:</strong> {source.attributionText}
</div>
)}
</div>
{isExpanded && (
<div className="border-t border-gray-200 dark:border-gray-700 p-4 bg-gray-50 dark:bg-gray-900">
<dl className="grid grid-cols-2 gap-3 text-sm">
{source.sourceUrl && (
<>
<dt className="text-gray-500">Quelle:</dt>
<dd>
<a
href={source.sourceUrl}
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline flex items-center gap-1"
>
Link <ExternalLink className="w-3 h-3" />
</a>
</dd>
</>
)}
{source.licenseUrl && (
<>
<dt className="text-gray-500">Lizenz-URL:</dt>
<dd>
<a
href={source.licenseUrl}
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline flex items-center gap-1"
>
{source.licenseName} <ExternalLink className="w-3 h-3" />
</a>
</dd>
</>
)}
<dt className="text-gray-500">Sprache:</dt>
<dd className="uppercase">{source.language}</dd>
{stats?.lastIndexedAt && (
<>
<dt className="text-gray-500">Zuletzt indexiert:</dt>
<dd>{new Date(stats.lastIndexedAt).toLocaleString('de-DE')}</dd>
</>
)}
</dl>
<div className="mt-4 flex gap-2">
<button
onClick={onIngest}
disabled={isIngesting}
className="px-3 py-1.5 text-sm bg-blue-600 text-white rounded-lg hover:bg-blue-700 disabled:opacity-50 flex items-center gap-1"
>
{isIngesting ? (
<RefreshCw className="w-4 h-4 animate-spin" />
) : (
<RefreshCw className="w-4 h-4" />
)}
Neu indexieren
</button>
</div>
</div>
)}
</div>
)
}

View File

@@ -0,0 +1,59 @@
'use client'
import { Database } from 'lucide-react'
import { DSFACorpusStats } from '@/lib/sdk/types'
import { StatusIndicator } from './DSFABadges'
interface StatsOverviewProps {
stats: DSFACorpusStats
}
export function StatsOverview({ stats }: StatsOverviewProps) {
return (
<div className="bg-white dark:bg-gray-800 rounded-xl border border-gray-200 dark:border-gray-700 p-6">
<div className="flex items-center justify-between mb-4">
<h2 className="text-lg font-semibold text-gray-900 dark:text-white flex items-center gap-2">
<Database className="w-5 h-5" />
Corpus-Statistik
</h2>
<StatusIndicator status={stats.qdrantStatus} />
</div>
<div className="grid grid-cols-2 md:grid-cols-4 gap-4">
<div className="text-center p-4 bg-blue-50 dark:bg-blue-900/20 rounded-lg">
<p className="text-2xl font-bold text-blue-600 dark:text-blue-400">
{stats.totalSources}
</p>
<p className="text-sm text-gray-600 dark:text-gray-400">Quellen</p>
</div>
<div className="text-center p-4 bg-emerald-50 dark:bg-emerald-900/20 rounded-lg">
<p className="text-2xl font-bold text-emerald-600 dark:text-emerald-400">
{stats.totalDocuments}
</p>
<p className="text-sm text-gray-600 dark:text-gray-400">Dokumente</p>
</div>
<div className="text-center p-4 bg-purple-50 dark:bg-purple-900/20 rounded-lg">
<p className="text-2xl font-bold text-purple-600 dark:text-purple-400">
{stats.totalChunks.toLocaleString()}
</p>
<p className="text-sm text-gray-600 dark:text-gray-400">Chunks</p>
</div>
<div className="text-center p-4 bg-orange-50 dark:bg-orange-900/20 rounded-lg">
<p className="text-2xl font-bold text-orange-600 dark:text-orange-400">
{stats.qdrantPointsCount.toLocaleString()}
</p>
<p className="text-sm text-gray-600 dark:text-gray-400">Vektoren</p>
</div>
</div>
<div className="mt-4 p-3 bg-gray-50 dark:bg-gray-900 rounded-lg">
<p className="text-sm text-gray-600 dark:text-gray-400">
<strong>Collection:</strong>{' '}
<code className="font-mono bg-gray-200 dark:bg-gray-700 px-1 rounded">
{stats.qdrantCollection}
</code>
</p>
</div>
</div>
)
}

View File

@@ -0,0 +1,137 @@
/**
* DSFA API functions and mock data.
*/
import {
DSFASource,
DSFACorpusStats,
} from '@/lib/sdk/types'
export const API_BASE = process.env.NEXT_PUBLIC_KLAUSUR_SERVICE_URL || 'http://localhost:8086'
export const MOCK_SOURCES: DSFASource[] = [
{
id: '1',
sourceCode: 'WP248',
name: 'WP248 rev.01 - Leitlinien zur DSFA',
fullName: 'Leitlinien zur Datenschutz-Folgenabschaetzung',
organization: 'Artikel-29-Datenschutzgruppe / EDPB',
sourceUrl: 'https://ec.europa.eu/newsroom/article29/items/611236/en',
licenseCode: 'EDPB-LICENSE',
licenseName: 'EDPB Document License',
attributionRequired: true,
attributionText: 'Quelle: WP248 rev.01, Artikel-29-Datenschutzgruppe (2017)',
documentType: 'guideline',
language: 'de',
},
{
id: '2',
sourceCode: 'DSK_KP5',
name: 'Kurzpapier Nr. 5 - DSFA nach Art. 35 DS-GVO',
organization: 'Datenschutzkonferenz (DSK)',
sourceUrl: 'https://www.datenschutzkonferenz-online.de/media/kp/dsk_kpnr_5.pdf',
licenseCode: 'DL-DE-BY-2.0',
licenseName: 'Datenlizenz DE \u2013 Namensnennung 2.0',
licenseUrl: 'https://www.govdata.de/dl-de/by-2-0',
attributionRequired: true,
attributionText: 'Quelle: DSK Kurzpapier Nr. 5 (Stand: 2018)',
documentType: 'guideline',
language: 'de',
},
{
id: '3',
sourceCode: 'BFDI_MUSS_PUBLIC',
name: 'BfDI DSFA-Liste (oeffentlicher Bereich)',
organization: 'BfDI',
sourceUrl: 'https://www.bfdi.bund.de',
licenseCode: 'DL-DE-ZERO-2.0',
licenseName: 'Datenlizenz DE \u2013 Zero 2.0',
attributionRequired: false,
attributionText: 'Quelle: BfDI, Liste gem. Art. 35 Abs. 4 DSGVO',
documentType: 'checklist',
language: 'de',
},
{
id: '4',
sourceCode: 'NI_MUSS_PRIVATE',
name: 'LfD NI DSFA-Liste (nicht-oeffentlich)',
organization: 'LfD Niedersachsen',
sourceUrl: 'https://www.lfd.niedersachsen.de/download/131098',
licenseCode: 'DL-DE-BY-2.0',
licenseName: 'Datenlizenz DE \u2013 Namensnennung 2.0',
attributionRequired: true,
attributionText: 'Quelle: LfD Niedersachsen, DSFA-Muss-Liste',
documentType: 'checklist',
language: 'de',
},
]
export const MOCK_STATS: DSFACorpusStats = {
sources: [
{
sourceId: '1',
sourceCode: 'WP248',
name: 'WP248 rev.01',
organization: 'EDPB',
licenseCode: 'EDPB-LICENSE',
documentType: 'guideline',
documentCount: 1,
chunkCount: 50,
lastIndexedAt: '2026-02-09T10:00:00Z',
},
{
sourceId: '2',
sourceCode: 'DSK_KP5',
name: 'DSK Kurzpapier Nr. 5',
organization: 'DSK',
licenseCode: 'DL-DE-BY-2.0',
documentType: 'guideline',
documentCount: 1,
chunkCount: 35,
lastIndexedAt: '2026-02-09T10:00:00Z',
},
],
totalSources: 45,
totalDocuments: 45,
totalChunks: 850,
qdrantCollection: 'bp_dsfa_corpus',
qdrantPointsCount: 850,
qdrantStatus: 'green',
}
export async function fetchSources(): Promise<DSFASource[]> {
try {
const response = await fetch(`${API_BASE}/api/v1/dsfa-rag/sources`)
if (!response.ok) throw new Error('Failed to fetch sources')
return await response.json()
} catch {
return MOCK_SOURCES
}
}
export async function fetchStats(): Promise<DSFACorpusStats> {
try {
const response = await fetch(`${API_BASE}/api/v1/dsfa-rag/stats`)
if (!response.ok) throw new Error('Failed to fetch stats')
return await response.json()
} catch {
return MOCK_STATS
}
}
export async function initializeCorpus(): Promise<{ sources_registered: number }> {
const response = await fetch(`${API_BASE}/api/v1/dsfa-rag/init`, {
method: 'POST',
})
if (!response.ok) throw new Error('Failed to initialize corpus')
return await response.json()
}
export async function triggerIngestion(sourceCode: string): Promise<void> {
const response = await fetch(`${API_BASE}/api/v1/dsfa-rag/sources/${sourceCode}/ingest`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({}),
})
if (!response.ok) throw new Error('Failed to trigger ingestion')
}

View File

@@ -4,11 +4,6 @@
* DSFA Document Manager
*
* Manages DSFA-related sources and documents for the RAG pipeline.
* Features:
* - View all registered DSFA sources with license info
* - Upload new documents
* - Trigger re-indexing
* - View corpus statistics
*/
import { useState, useEffect } from 'react'
@@ -19,411 +14,24 @@ import {
Upload,
FileText,
Database,
Scale,
ExternalLink,
ChevronDown,
ChevronUp,
Search,
Filter,
CheckCircle,
Clock,
AlertCircle,
BookOpen
BookOpen,
} from 'lucide-react'
import { DSFASource, DSFACorpusStats, DSFASourceStats } from '@/lib/sdk/types'
import {
DSFASource,
DSFACorpusStats,
DSFASourceStats,
DSFALicenseCode,
DSFA_LICENSE_LABELS,
DSFA_DOCUMENT_TYPE_LABELS
} from '@/lib/sdk/types'
// ============================================================================
// TYPES
// ============================================================================
interface APIError {
message: string
status?: number
}
// ============================================================================
// API FUNCTIONS
// ============================================================================
const API_BASE = process.env.NEXT_PUBLIC_KLAUSUR_SERVICE_URL || 'http://localhost:8086'
async function fetchSources(): Promise<DSFASource[]> {
try {
const response = await fetch(`${API_BASE}/api/v1/dsfa-rag/sources`)
if (!response.ok) throw new Error('Failed to fetch sources')
return await response.json()
} catch {
// Return mock data for demo
return MOCK_SOURCES
}
}
async function fetchStats(): Promise<DSFACorpusStats> {
try {
const response = await fetch(`${API_BASE}/api/v1/dsfa-rag/stats`)
if (!response.ok) throw new Error('Failed to fetch stats')
return await response.json()
} catch {
return MOCK_STATS
}
}
async function initializeCorpus(): Promise<{ sources_registered: number }> {
const response = await fetch(`${API_BASE}/api/v1/dsfa-rag/init`, {
method: 'POST',
})
if (!response.ok) throw new Error('Failed to initialize corpus')
return await response.json()
}
async function triggerIngestion(sourceCode: string): Promise<void> {
const response = await fetch(`${API_BASE}/api/v1/dsfa-rag/sources/${sourceCode}/ingest`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({}),
})
if (!response.ok) throw new Error('Failed to trigger ingestion')
}
// ============================================================================
// MOCK DATA
// ============================================================================
const MOCK_SOURCES: DSFASource[] = [
{
id: '1',
sourceCode: 'WP248',
name: 'WP248 rev.01 - Leitlinien zur DSFA',
fullName: 'Leitlinien zur Datenschutz-Folgenabschaetzung',
organization: 'Artikel-29-Datenschutzgruppe / EDPB',
sourceUrl: 'https://ec.europa.eu/newsroom/article29/items/611236/en',
licenseCode: 'EDPB-LICENSE',
licenseName: 'EDPB Document License',
attributionRequired: true,
attributionText: 'Quelle: WP248 rev.01, Artikel-29-Datenschutzgruppe (2017)',
documentType: 'guideline',
language: 'de',
},
{
id: '2',
sourceCode: 'DSK_KP5',
name: 'Kurzpapier Nr. 5 - DSFA nach Art. 35 DS-GVO',
organization: 'Datenschutzkonferenz (DSK)',
sourceUrl: 'https://www.datenschutzkonferenz-online.de/media/kp/dsk_kpnr_5.pdf',
licenseCode: 'DL-DE-BY-2.0',
licenseName: 'Datenlizenz DE Namensnennung 2.0',
licenseUrl: 'https://www.govdata.de/dl-de/by-2-0',
attributionRequired: true,
attributionText: 'Quelle: DSK Kurzpapier Nr. 5 (Stand: 2018)',
documentType: 'guideline',
language: 'de',
},
{
id: '3',
sourceCode: 'BFDI_MUSS_PUBLIC',
name: 'BfDI DSFA-Liste (oeffentlicher Bereich)',
organization: 'BfDI',
sourceUrl: 'https://www.bfdi.bund.de',
licenseCode: 'DL-DE-ZERO-2.0',
licenseName: 'Datenlizenz DE Zero 2.0',
attributionRequired: false,
attributionText: 'Quelle: BfDI, Liste gem. Art. 35 Abs. 4 DSGVO',
documentType: 'checklist',
language: 'de',
},
{
id: '4',
sourceCode: 'NI_MUSS_PRIVATE',
name: 'LfD NI DSFA-Liste (nicht-oeffentlich)',
organization: 'LfD Niedersachsen',
sourceUrl: 'https://www.lfd.niedersachsen.de/download/131098',
licenseCode: 'DL-DE-BY-2.0',
licenseName: 'Datenlizenz DE Namensnennung 2.0',
attributionRequired: true,
attributionText: 'Quelle: LfD Niedersachsen, DSFA-Muss-Liste',
documentType: 'checklist',
language: 'de',
},
]
const MOCK_STATS: DSFACorpusStats = {
sources: [
{
sourceId: '1',
sourceCode: 'WP248',
name: 'WP248 rev.01',
organization: 'EDPB',
licenseCode: 'EDPB-LICENSE',
documentType: 'guideline',
documentCount: 1,
chunkCount: 50,
lastIndexedAt: '2026-02-09T10:00:00Z',
},
{
sourceId: '2',
sourceCode: 'DSK_KP5',
name: 'DSK Kurzpapier Nr. 5',
organization: 'DSK',
licenseCode: 'DL-DE-BY-2.0',
documentType: 'guideline',
documentCount: 1,
chunkCount: 35,
lastIndexedAt: '2026-02-09T10:00:00Z',
},
],
totalSources: 45,
totalDocuments: 45,
totalChunks: 850,
qdrantCollection: 'bp_dsfa_corpus',
qdrantPointsCount: 850,
qdrantStatus: 'green',
}
// ============================================================================
// COMPONENTS
// ============================================================================
function LicenseBadge({ licenseCode }: { licenseCode: DSFALicenseCode }) {
const colorMap: Record<DSFALicenseCode, string> = {
'DL-DE-BY-2.0': 'bg-blue-100 text-blue-700 border-blue-200',
'DL-DE-ZERO-2.0': 'bg-gray-100 text-gray-700 border-gray-200',
'CC-BY-4.0': 'bg-green-100 text-green-700 border-green-200',
'EDPB-LICENSE': 'bg-purple-100 text-purple-700 border-purple-200',
'PUBLIC_DOMAIN': 'bg-gray-100 text-gray-600 border-gray-200',
'PROPRIETARY': 'bg-amber-100 text-amber-700 border-amber-200',
}
return (
<span className={`inline-flex items-center gap-1 px-2 py-0.5 rounded text-xs border ${colorMap[licenseCode] || 'bg-gray-100 text-gray-700 border-gray-200'}`}>
<Scale className="w-3 h-3" />
{DSFA_LICENSE_LABELS[licenseCode] || licenseCode}
</span>
)
}
function DocumentTypeBadge({ type }: { type?: string }) {
if (!type) return null
const colorMap: Record<string, string> = {
guideline: 'bg-indigo-100 text-indigo-700',
checklist: 'bg-emerald-100 text-emerald-700',
regulation: 'bg-red-100 text-red-700',
template: 'bg-orange-100 text-orange-700',
}
return (
<span className={`inline-flex items-center px-2 py-0.5 rounded text-xs ${colorMap[type] || 'bg-gray-100 text-gray-700'}`}>
{DSFA_DOCUMENT_TYPE_LABELS[type as keyof typeof DSFA_DOCUMENT_TYPE_LABELS] || type}
</span>
)
}
function StatusIndicator({ status }: { status: string }) {
const statusConfig: Record<string, { color: string; icon: React.ReactNode; label: string }> = {
green: { color: 'text-green-500', icon: <CheckCircle className="w-4 h-4" />, label: 'Aktiv' },
yellow: { color: 'text-yellow-500', icon: <Clock className="w-4 h-4" />, label: 'Ausstehend' },
red: { color: 'text-red-500', icon: <AlertCircle className="w-4 h-4" />, label: 'Fehler' },
}
const config = statusConfig[status] || statusConfig.yellow
return (
<span className={`inline-flex items-center gap-1 ${config.color}`}>
{config.icon}
<span className="text-sm">{config.label}</span>
</span>
)
}
function SourceCard({
source,
stats,
onIngest,
isIngesting
}: {
source: DSFASource
stats?: DSFASourceStats
onIngest: () => void
isIngesting: boolean
}) {
const [isExpanded, setIsExpanded] = useState(false)
return (
<div className="bg-white dark:bg-gray-800 rounded-xl border border-gray-200 dark:border-gray-700 overflow-hidden">
<div className="p-4">
<div className="flex items-start justify-between">
<div className="flex-1 min-w-0">
<div className="flex items-center gap-2 mb-1">
<span className="font-mono text-xs bg-gray-100 dark:bg-gray-700 px-2 py-0.5 rounded">
{source.sourceCode}
</span>
<DocumentTypeBadge type={source.documentType} />
</div>
<h3 className="font-semibold text-gray-900 dark:text-white truncate">
{source.name}
</h3>
{source.organization && (
<p className="text-sm text-gray-500 dark:text-gray-400">
{source.organization}
</p>
)}
</div>
<button
onClick={() => setIsExpanded(!isExpanded)}
className="p-1 hover:bg-gray-100 dark:hover:bg-gray-700 rounded"
>
{isExpanded ? (
<ChevronUp className="w-5 h-5 text-gray-400" />
) : (
<ChevronDown className="w-5 h-5 text-gray-400" />
)}
</button>
</div>
<div className="flex items-center gap-4 mt-3">
<LicenseBadge licenseCode={source.licenseCode} />
{stats && (
<>
<span className="text-sm text-gray-500">
{stats.documentCount} Dok.
</span>
<span className="text-sm text-gray-500">
{stats.chunkCount} Chunks
</span>
</>
)}
</div>
{source.attributionRequired && (
<div className="mt-3 p-2 bg-amber-50 dark:bg-amber-900/20 rounded text-xs text-amber-700 dark:text-amber-300">
<strong>Attribution:</strong> {source.attributionText}
</div>
)}
</div>
{isExpanded && (
<div className="border-t border-gray-200 dark:border-gray-700 p-4 bg-gray-50 dark:bg-gray-900">
<dl className="grid grid-cols-2 gap-3 text-sm">
{source.sourceUrl && (
<>
<dt className="text-gray-500">Quelle:</dt>
<dd>
<a
href={source.sourceUrl}
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline flex items-center gap-1"
>
Link <ExternalLink className="w-3 h-3" />
</a>
</dd>
</>
)}
{source.licenseUrl && (
<>
<dt className="text-gray-500">Lizenz-URL:</dt>
<dd>
<a
href={source.licenseUrl}
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline flex items-center gap-1"
>
{source.licenseName} <ExternalLink className="w-3 h-3" />
</a>
</dd>
</>
)}
<dt className="text-gray-500">Sprache:</dt>
<dd className="uppercase">{source.language}</dd>
{stats?.lastIndexedAt && (
<>
<dt className="text-gray-500">Zuletzt indexiert:</dt>
<dd>{new Date(stats.lastIndexedAt).toLocaleString('de-DE')}</dd>
</>
)}
</dl>
<div className="mt-4 flex gap-2">
<button
onClick={onIngest}
disabled={isIngesting}
className="px-3 py-1.5 text-sm bg-blue-600 text-white rounded-lg hover:bg-blue-700 disabled:opacity-50 flex items-center gap-1"
>
{isIngesting ? (
<RefreshCw className="w-4 h-4 animate-spin" />
) : (
<RefreshCw className="w-4 h-4" />
)}
Neu indexieren
</button>
</div>
</div>
)}
</div>
)
}
function StatsOverview({ stats }: { stats: DSFACorpusStats }) {
return (
<div className="bg-white dark:bg-gray-800 rounded-xl border border-gray-200 dark:border-gray-700 p-6">
<div className="flex items-center justify-between mb-4">
<h2 className="text-lg font-semibold text-gray-900 dark:text-white flex items-center gap-2">
<Database className="w-5 h-5" />
Corpus-Statistik
</h2>
<StatusIndicator status={stats.qdrantStatus} />
</div>
<div className="grid grid-cols-2 md:grid-cols-4 gap-4">
<div className="text-center p-4 bg-blue-50 dark:bg-blue-900/20 rounded-lg">
<p className="text-2xl font-bold text-blue-600 dark:text-blue-400">
{stats.totalSources}
</p>
<p className="text-sm text-gray-600 dark:text-gray-400">Quellen</p>
</div>
<div className="text-center p-4 bg-emerald-50 dark:bg-emerald-900/20 rounded-lg">
<p className="text-2xl font-bold text-emerald-600 dark:text-emerald-400">
{stats.totalDocuments}
</p>
<p className="text-sm text-gray-600 dark:text-gray-400">Dokumente</p>
</div>
<div className="text-center p-4 bg-purple-50 dark:bg-purple-900/20 rounded-lg">
<p className="text-2xl font-bold text-purple-600 dark:text-purple-400">
{stats.totalChunks.toLocaleString()}
</p>
<p className="text-sm text-gray-600 dark:text-gray-400">Chunks</p>
</div>
<div className="text-center p-4 bg-orange-50 dark:bg-orange-900/20 rounded-lg">
<p className="text-2xl font-bold text-orange-600 dark:text-orange-400">
{stats.qdrantPointsCount.toLocaleString()}
</p>
<p className="text-sm text-gray-600 dark:text-gray-400">Vektoren</p>
</div>
</div>
<div className="mt-4 p-3 bg-gray-50 dark:bg-gray-900 rounded-lg">
<p className="text-sm text-gray-600 dark:text-gray-400">
<strong>Collection:</strong>{' '}
<code className="font-mono bg-gray-200 dark:bg-gray-700 px-1 rounded">
{stats.qdrantCollection}
</code>
</p>
</div>
</div>
)
}
// ============================================================================
// MAIN PAGE
// ============================================================================
fetchSources,
fetchStats,
initializeCorpus,
triggerIngestion,
MOCK_SOURCES,
MOCK_STATS,
} from './_components/dsfa-api'
import { LicenseBadge } from './_components/DSFABadges'
import { SourceCard } from './_components/SourceCard'
import { StatsOverview } from './_components/StatsOverview'
export default function DSFADocumentManagerPage() {
const [sources, setSources] = useState<DSFASource[]>([])
@@ -461,7 +69,6 @@ export default function DSFADocumentManagerPage() {
setIsInitializing(true)
try {
await initializeCorpus()
// Reload data
const [sourcesData, statsData] = await Promise.all([
fetchSources(),
fetchStats(),
@@ -479,7 +86,6 @@ export default function DSFADocumentManagerPage() {
setIngestingSource(sourceCode)
try {
await triggerIngestion(sourceCode)
// Reload stats
const statsData = await fetchStats()
setStats(statsData)
} catch (err) {
@@ -501,7 +107,6 @@ export default function DSFADocumentManagerPage() {
return matchesSearch && matchesType
})
// Get stats by source code
const getStatsForSource = (sourceCode: string): DSFASourceStats | undefined => {
return stats?.sources.find(s => s.sourceCode === sourceCode)
}

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@@ -0,0 +1,63 @@
// ============================================================================
// RAG Pipeline Types
// ============================================================================
export interface TrainingJob {
id: string
name: string
model_type: 'zeugnis' | 'klausur' | 'general'
status: 'queued' | 'preparing' | 'training' | 'validating' | 'completed' | 'failed' | 'paused'
progress: number
current_epoch: number
total_epochs: number
loss: number
val_loss: number
learning_rate: number
documents_processed: number
total_documents: number
started_at: string | null
estimated_completion: string | null
error_message: string | null
metrics: TrainingMetrics
config: TrainingConfig
}
export interface TrainingMetrics {
precision: number
recall: number
f1_score: number
accuracy: number
loss_history: number[]
val_loss_history: number[]
confusion_matrix?: number[][]
}
export interface TrainingConfig {
batch_size: number
learning_rate: number
epochs: number
warmup_steps: number
weight_decay: number
gradient_accumulation: number
mixed_precision: boolean
bundeslaender: string[]
}
export interface DatasetStats {
total_documents: number
total_chunks: number
training_allowed: number
by_bundesland: Record<string, number>
by_doc_type: Record<string, number>
}
export interface DataSource {
id: string
name: string
description: string
collection: string
document_count: number
chunk_count: number
last_updated: string | null
status: 'active' | 'pending' | 'error'
}

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@@ -0,0 +1,147 @@
'use client'
import { useState, useEffect } from 'react'
import type { TrainingJob, TrainingConfig, DatasetStats, DataSource } from './types'
import {
MOCK_JOBS,
MOCK_STATS,
MOCK_DATA_SOURCES,
fetchJobs,
fetchDatasetStats,
createTrainingJob,
pauseJob,
resumeJob,
cancelJob,
} from './api'
export type TabType = 'dashboard' | 'architecture' | 'sources'
export interface RagPipelineState {
activeTab: TabType
setActiveTab: (tab: TabType) => void
jobs: TrainingJob[]
stats: DatasetStats
dataSources: DataSource[]
showNewTrainingModal: boolean
setShowNewTrainingModal: (show: boolean) => void
selectedJob: TrainingJob | null
setSelectedJob: (job: TrainingJob | null) => void
isLoading: boolean
error: string | null
setError: (error: string | null) => void
handleStartTraining: (config: Partial<TrainingConfig>) => Promise<void>
handlePauseJob: (jobId: string) => Promise<void>
handleResumeJob: (jobId: string) => Promise<void>
handleCancelJob: (jobId: string) => Promise<void>
}
export function useRagPipeline(): RagPipelineState {
const [activeTab, setActiveTab] = useState<TabType>('dashboard')
const [jobs, setJobs] = useState<TrainingJob[]>([])
const [stats, setStats] = useState<DatasetStats>(MOCK_STATS)
const [dataSources] = useState<DataSource[]>(MOCK_DATA_SOURCES)
const [showNewTrainingModal, setShowNewTrainingModal] = useState(false)
const [selectedJob, setSelectedJob] = useState<TrainingJob | null>(null)
const [isLoading, setIsLoading] = useState(true)
const [error, setError] = useState<string | null>(null)
useEffect(() => {
async function loadData() {
setIsLoading(true)
try {
const [jobsData, statsData] = await Promise.all([
fetchJobs(),
fetchDatasetStats(),
])
setJobs(jobsData)
setStats(statsData)
setError(null)
} catch (err) {
console.error('Failed to load data:', err)
setError('Verbindung zum Backend fehlgeschlagen')
setJobs(MOCK_JOBS)
setStats(MOCK_STATS)
} finally {
setIsLoading(false)
}
}
loadData()
}, [])
useEffect(() => {
const hasActiveJob = jobs.some(j => j.status === 'training' || j.status === 'preparing')
if (!hasActiveJob) return
const interval = setInterval(async () => {
try {
const updatedJobs = await fetchJobs()
setJobs(updatedJobs)
} catch (err) {
console.error('Failed to refresh jobs:', err)
}
}, 2000)
return () => clearInterval(interval)
}, [jobs])
const handleStartTraining = async (config: Partial<TrainingConfig>) => {
try {
await createTrainingJob(config)
const updatedJobs = await fetchJobs()
setJobs(updatedJobs)
setShowNewTrainingModal(false)
} catch (err) {
console.error('Failed to start training:', err)
setError(err instanceof Error ? err.message : 'Indexierung konnte nicht gestartet werden')
}
}
const handlePauseJob = async (jobId: string) => {
try {
await pauseJob(jobId)
const updatedJobs = await fetchJobs()
setJobs(updatedJobs)
} catch (err) {
console.error('Failed to pause job:', err)
}
}
const handleResumeJob = async (jobId: string) => {
try {
await resumeJob(jobId)
const updatedJobs = await fetchJobs()
setJobs(updatedJobs)
} catch (err) {
console.error('Failed to resume job:', err)
}
}
const handleCancelJob = async (jobId: string) => {
try {
await cancelJob(jobId)
const updatedJobs = await fetchJobs()
setJobs(updatedJobs)
} catch (err) {
console.error('Failed to cancel job:', err)
}
}
return {
activeTab,
setActiveTab,
jobs,
stats,
dataSources,
showNewTrainingModal,
setShowNewTrainingModal,
selectedJob,
setSelectedJob,
isLoading,
error,
setError,
handleStartTraining,
handlePauseJob,
handleResumeJob,
handleCancelJob,
}
}

View File

@@ -0,0 +1,252 @@
import { describe, it, expect } from 'vitest'
import ragData from '../rag-documents.json'
/**
* Tests fuer rag-documents.json — Branchen-Regulierungs-Matrix
*
* Validiert die JSON-Struktur, Branchen-Zuordnung und Datenintegritaet
* der 320 Dokumente fuer die RAG Landkarte.
*/
const VALID_INDUSTRY_IDS = ragData.industries.map((i: any) => i.id)
const VALID_DOC_TYPE_IDS = ragData.doc_types.map((dt: any) => dt.id)
describe('rag-documents.json — Struktur', () => {
it('sollte doc_types, industries und documents enthalten', () => {
expect(ragData).toHaveProperty('doc_types')
expect(ragData).toHaveProperty('industries')
expect(ragData).toHaveProperty('documents')
expect(Array.isArray(ragData.doc_types)).toBe(true)
expect(Array.isArray(ragData.industries)).toBe(true)
expect(Array.isArray(ragData.documents)).toBe(true)
})
it('sollte genau 10 Branchen haben (VDMA/VDA/BDI)', () => {
expect(ragData.industries).toHaveLength(10)
const ids = ragData.industries.map((i: any) => i.id)
expect(ids).toContain('automotive')
expect(ids).toContain('maschinenbau')
expect(ids).toContain('elektrotechnik')
expect(ids).toContain('chemie')
expect(ids).toContain('metall')
expect(ids).toContain('energie')
expect(ids).toContain('transport')
expect(ids).toContain('handel')
expect(ids).toContain('konsumgueter')
expect(ids).toContain('bau')
})
it('sollte keine Pseudo-Branchen enthalten (IoT, KI, HR, KRITIS, etc.)', () => {
const ids = ragData.industries.map((i: any) => i.id)
expect(ids).not.toContain('iot')
expect(ids).not.toContain('ai')
expect(ids).not.toContain('hr')
expect(ids).not.toContain('kritis')
expect(ids).not.toContain('ecommerce')
expect(ids).not.toContain('tech')
expect(ids).not.toContain('media')
expect(ids).not.toContain('public')
})
it('sollte 17 Dokumenttypen haben', () => {
expect(ragData.doc_types.length).toBe(17)
})
it('sollte mindestens 300 Dokumente haben', () => {
expect(ragData.documents.length).toBeGreaterThanOrEqual(300)
})
it('sollte jede Branche name und icon haben', () => {
ragData.industries.forEach((ind: any) => {
expect(ind).toHaveProperty('id')
expect(ind).toHaveProperty('name')
expect(ind).toHaveProperty('icon')
expect(ind.name.length).toBeGreaterThan(0)
})
})
it('sollte jeden doc_type mit id, label, icon und sort haben', () => {
ragData.doc_types.forEach((dt: any) => {
expect(dt).toHaveProperty('id')
expect(dt).toHaveProperty('label')
expect(dt).toHaveProperty('icon')
expect(dt).toHaveProperty('sort')
})
})
})
describe('rag-documents.json — Dokument-Validierung', () => {
it('sollte keine doppelten Codes haben', () => {
const codes = ragData.documents.map((d: any) => d.code)
const unique = new Set(codes)
expect(unique.size).toBe(codes.length)
})
it('sollte Pflichtfelder bei jedem Dokument haben', () => {
ragData.documents.forEach((doc: any) => {
expect(doc).toHaveProperty('code')
expect(doc).toHaveProperty('name')
expect(doc).toHaveProperty('doc_type')
expect(doc).toHaveProperty('industries')
expect(doc).toHaveProperty('in_rag')
expect(doc).toHaveProperty('rag_collection')
expect(doc.code.length).toBeGreaterThan(0)
expect(doc.name.length).toBeGreaterThan(0)
expect(Array.isArray(doc.industries)).toBe(true)
})
})
it('sollte nur gueltige doc_type IDs verwenden', () => {
ragData.documents.forEach((doc: any) => {
expect(VALID_DOC_TYPE_IDS).toContain(doc.doc_type)
})
})
it('sollte nur gueltige industry IDs verwenden (oder "all")', () => {
ragData.documents.forEach((doc: any) => {
doc.industries.forEach((ind: string) => {
if (ind !== 'all') {
expect(VALID_INDUSTRY_IDS).toContain(ind)
}
})
})
})
it('sollte gueltige rag_collection Namen verwenden', () => {
const validCollections = [
'bp_compliance_ce',
'bp_compliance_gesetze',
'bp_compliance_datenschutz',
'bp_dsfa_corpus',
'bp_legal_templates',
'bp_compliance_recht',
'bp_nibis_eh',
]
ragData.documents.forEach((doc: any) => {
expect(validCollections).toContain(doc.rag_collection)
})
})
})
describe('rag-documents.json — Branchen-Zuordnungslogik', () => {
const findDoc = (code: string) => ragData.documents.find((d: any) => d.code === code)
describe('Horizontale Regulierungen (alle Branchen)', () => {
const horizontalCodes = [
'GDPR', 'BDSG_FULL', 'EPRIVACY', 'TDDDG', 'AIACT', 'CRA',
'NIS2', 'GPSR', 'PLD', 'EUCSA', 'DATAACT',
]
horizontalCodes.forEach((code) => {
it(`${code} sollte fuer alle Branchen gelten`, () => {
const doc = findDoc(code)
if (doc) {
expect(doc.industries).toContain('all')
}
})
})
})
describe('Sektorspezifische Regulierungen', () => {
it('Maschinenverordnung sollte Maschinenbau, Automotive, Elektrotechnik enthalten', () => {
const doc = findDoc('MACHINERY_REG')
if (doc) {
expect(doc.industries).toContain('maschinenbau')
expect(doc.industries).toContain('automotive')
expect(doc.industries).toContain('elektrotechnik')
expect(doc.industries).not.toContain('all')
}
})
it('ElektroG sollte Elektrotechnik und Automotive enthalten', () => {
const doc = findDoc('DE_ELEKTROG')
if (doc) {
expect(doc.industries).toContain('elektrotechnik')
expect(doc.industries).toContain('automotive')
}
})
it('BattDG sollte Automotive und Elektrotechnik enthalten', () => {
const doc = findDoc('DE_BATTDG')
if (doc) {
expect(doc.industries).toContain('automotive')
expect(doc.industries).toContain('elektrotechnik')
}
})
it('ENISA ICS/SCADA sollte Energie, Maschinenbau, Chemie enthalten', () => {
const doc = findDoc('ENISA_ICS_SCADA')
if (doc) {
expect(doc.industries).toContain('energie')
expect(doc.industries).toContain('maschinenbau')
expect(doc.industries).toContain('chemie')
}
})
})
describe('Nicht zutreffende Regulierungen (Finanz/Medizin/Plattformen)', () => {
const emptyIndustryCodes = ['DORA', 'PSD2', 'MiCA', 'AMLR', 'EHDS', 'DSA', 'DMA', 'MDR']
emptyIndustryCodes.forEach((code) => {
it(`${code} sollte keine Branchen-Zuordnung haben`, () => {
const doc = findDoc(code)
if (doc) {
expect(doc.industries).toHaveLength(0)
}
})
})
})
describe('BSI-TR-03161 (DiGA) sollte nicht zutreffend sein', () => {
['BSI-TR-03161-1', 'BSI-TR-03161-2', 'BSI-TR-03161-3'].forEach((code) => {
it(`${code} sollte keine Branchen-Zuordnung haben`, () => {
const doc = findDoc(code)
if (doc) {
expect(doc.industries).toHaveLength(0)
}
})
})
})
})
describe('rag-documents.json — Applicability Notes', () => {
it('sollte applicability_note bei Dokumenten mit description haben', () => {
const withDescription = ragData.documents.filter((d: any) => d.description)
const withNote = withDescription.filter((d: any) => d.applicability_note)
// Mindestens 90% der Dokumente mit Beschreibung sollten eine Note haben
expect(withNote.length / withDescription.length).toBeGreaterThan(0.9)
})
it('horizontale Regulierungen sollten "alle Branchen" in der Note erwaehnen', () => {
const gdpr = ragData.documents.find((d: any) => d.code === 'GDPR')
if (gdpr?.applicability_note) {
expect(gdpr.applicability_note.toLowerCase()).toContain('alle branchen')
}
})
it('nicht zutreffende sollten "nicht zutreffend" in der Note erwaehnen', () => {
const dora = ragData.documents.find((d: any) => d.code === 'DORA')
if (dora?.applicability_note) {
expect(dora.applicability_note.toLowerCase()).toContain('nicht zutreffend')
}
})
})
describe('rag-documents.json — Dokumenttyp-Verteilung', () => {
it('sollte Dokumente in jedem doc_type haben', () => {
ragData.doc_types.forEach((dt: any) => {
const count = ragData.documents.filter((d: any) => d.doc_type === dt.id).length
expect(count).toBeGreaterThan(0)
})
})
it('sollte EU-Verordnungen als groesste Kategorie haben (mind. 15)', () => {
const euRegs = ragData.documents.filter((d: any) => d.doc_type === 'eu_regulation')
expect(euRegs.length).toBeGreaterThanOrEqual(15)
})
it('sollte EDPB Leitlinien als umfangreichste Kategorie haben (mind. 40)', () => {
const edpb = ragData.documents.filter((d: any) => d.doc_type === 'edpb_guideline')
expect(edpb.length).toBeGreaterThanOrEqual(40)
})
})

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'use client'
import React from 'react'
import type { UseRAGPageReturn } from '../_hooks/useRAGPage'
interface DataTabProps {
hook: UseRAGPageReturn
}
export function DataTab({ hook }: DataTabProps) {
const {
customDocuments,
uploadFile,
setUploadFile,
uploadTitle,
setUploadTitle,
uploadCode,
setUploadCode,
uploading,
handleUpload,
linkUrl,
setLinkUrl,
linkTitle,
setLinkTitle,
linkCode,
setLinkCode,
addingLink,
handleAddLink,
handleDeleteDocument,
fetchCustomDocuments,
} = hook
return (
<div className="space-y-6">
{/* Upload Document */}
<div className="bg-white rounded-xl border border-slate-200 p-6">
<h3 className="font-semibold text-slate-900 mb-4">Dokument hochladen (PDF)</h3>
<div className="grid grid-cols-1 md:grid-cols-3 gap-4">
<div>
<label className="block text-sm font-medium text-slate-700 mb-2">PDF-Datei</label>
<input
type="file"
accept=".pdf"
onChange={(e) => setUploadFile(e.target.files?.[0] || null)}
className="w-full px-3 py-2 border rounded-lg text-sm"
/>
</div>
<div>
<label className="block text-sm font-medium text-slate-700 mb-2">Titel</label>
<input
type="text"
value={uploadTitle}
onChange={(e) => setUploadTitle(e.target.value)}
placeholder="z.B. Firmen-Datenschutzrichtlinie"
className="w-full px-3 py-2 border rounded-lg"
/>
</div>
<div>
<label className="block text-sm font-medium text-slate-700 mb-2">Code (eindeutig)</label>
<input
type="text"
value={uploadCode}
onChange={(e) => setUploadCode(e.target.value.toUpperCase())}
placeholder="z.B. CUSTOM-DSR-01"
className="w-full px-3 py-2 border rounded-lg font-mono"
/>
</div>
</div>
<button
onClick={handleUpload}
disabled={uploading || !uploadFile || !uploadTitle || !uploadCode}
className="mt-4 px-6 py-2 bg-teal-600 text-white rounded-lg hover:bg-teal-700 disabled:opacity-50"
>
{uploading ? 'Wird hochgeladen...' : 'Hochladen & Indexieren'}
</button>
</div>
{/* Add Link */}
<div className="bg-white rounded-xl border border-slate-200 p-6">
<h3 className="font-semibold text-slate-900 mb-4">Link hinzufuegen (Webseite/PDF)</h3>
<div className="grid grid-cols-1 md:grid-cols-3 gap-4">
<div>
<label className="block text-sm font-medium text-slate-700 mb-2">URL</label>
<input
type="url"
value={linkUrl}
onChange={(e) => setLinkUrl(e.target.value)}
placeholder="https://example.com/document.pdf"
className="w-full px-3 py-2 border rounded-lg"
/>
</div>
<div>
<label className="block text-sm font-medium text-slate-700 mb-2">Titel</label>
<input
type="text"
value={linkTitle}
onChange={(e) => setLinkTitle(e.target.value)}
placeholder="z.B. BSI IT-Grundschutz"
className="w-full px-3 py-2 border rounded-lg"
/>
</div>
<div>
<label className="block text-sm font-medium text-slate-700 mb-2">Code (eindeutig)</label>
<input
type="text"
value={linkCode}
onChange={(e) => setLinkCode(e.target.value.toUpperCase())}
placeholder="z.B. BSI-GRUNDSCHUTZ"
className="w-full px-3 py-2 border rounded-lg font-mono"
/>
</div>
</div>
<button
onClick={handleAddLink}
disabled={addingLink || !linkUrl || !linkTitle || !linkCode}
className="mt-4 px-6 py-2 bg-teal-600 text-white rounded-lg hover:bg-teal-700 disabled:opacity-50"
>
{addingLink ? 'Wird hinzugefuegt...' : 'Link hinzufuegen & Indexieren'}
</button>
</div>
{/* Custom Documents List */}
<div className="bg-white rounded-xl border border-slate-200 overflow-hidden">
<div className="px-4 py-3 border-b bg-slate-50 flex items-center justify-between">
<h3 className="font-semibold text-slate-900">Eigene Dokumente ({customDocuments.length})</h3>
<button
onClick={fetchCustomDocuments}
className="text-sm text-teal-600 hover:text-teal-700"
>
Aktualisieren
</button>
</div>
{customDocuments.length === 0 ? (
<div className="p-8 text-center text-slate-500">
Noch keine eigenen Dokumente hinzugefuegt.
</div>
) : (
<div className="divide-y">
{customDocuments.map((doc) => (
<div key={doc.id} className="px-4 py-3 flex items-center justify-between">
<div className="flex items-center gap-3">
<span className="w-8 h-8 rounded-lg bg-slate-100 flex items-center justify-center text-lg">
{doc.url ? '🔗' : '📄'}
</span>
<div>
<p className="font-medium text-slate-900">{doc.title}</p>
<p className="text-sm text-slate-500">
<span className="font-mono text-teal-600">{doc.code}</span>
{' • '}
{doc.filename || doc.url}
</p>
</div>
</div>
<div className="flex items-center gap-4">
<span className={`px-2 py-1 rounded text-xs font-medium ${
doc.status === 'indexed' ? 'bg-green-100 text-green-700' :
doc.status === 'error' ? 'bg-red-100 text-red-700' :
doc.status === 'processing' || doc.status === 'fetching' ? 'bg-blue-100 text-blue-700' :
'bg-slate-100 text-slate-700'
}`}>
{doc.status === 'indexed' ? `${doc.chunk_count} Chunks` :
doc.status === 'error' ? 'Fehler' :
doc.status === 'processing' ? 'Verarbeitung...' :
doc.status === 'fetching' ? 'Abruf...' :
doc.status}
</span>
<button
onClick={() => handleDeleteDocument(doc.id)}
className="text-red-500 hover:text-red-700 text-sm"
>
Loeschen
</button>
</div>
</div>
))}
</div>
)}
</div>
{/* Info Box */}
<div className="bg-teal-50 border border-teal-200 rounded-xl p-6">
<h4 className="font-semibold text-teal-800 flex items-center gap-2">
<span></span>
Hinweis zur Verwendung
</h4>
<p className="text-sm text-teal-700 mt-2">
Laden Sie eigene Dokumente (z.B. interne Datenschutzrichtlinien, Vertraege) oder
externe Links hoch. Diese werden automatisch in Chunks aufgeteilt und indexiert.
Nach dem Hinzufuegen koennen Sie im <strong>Pipeline</strong>-Tab die vollstaendige
Compliance-Analyse starten.
</p>
</div>
</div>
)
}

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'use client'
import React from 'react'
import type { UseRAGPageReturn } from '../_hooks/useRAGPage'
interface IngestionTabProps {
hook: UseRAGPageReturn
}
export function IngestionTab({ hook }: IngestionTabProps) {
const { ingestionRunning, ingestionLog, triggerIngestion } = hook
return (
<div className="space-y-6">
{/* Ingestion Control */}
<div className="bg-white rounded-xl border border-slate-200 p-6">
<h3 className="font-semibold text-slate-900 mb-4">Legal Corpus Re-Ingestion</h3>
<p className="text-slate-600 mb-4">
Startet die Neuindexierung aller 19 Regulierungen. Die Dokumente werden von EUR-Lex,
gesetze-im-internet.de und BSI heruntergeladen, in semantische Chunks aufgeteilt und
mit BGE-M3 Embeddings in Qdrant indexiert.
</p>
<div className="flex items-center gap-4">
<button
onClick={triggerIngestion}
disabled={ingestionRunning}
className="px-6 py-2 bg-teal-600 text-white rounded-lg hover:bg-teal-700 disabled:opacity-50"
>
{ingestionRunning ? 'Laeuft...' : 'Re-Ingestion starten'}
</button>
{ingestionRunning && (
<span className="flex items-center gap-2 text-teal-600">
<svg className="animate-spin h-4 w-4" fill="none" viewBox="0 0 24 24">
<circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4" />
<path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.7.689 3 7.938l3-2.647z" />
</svg>
Ingestion laeuft...
</span>
)}
</div>
</div>
{/* Ingestion Log */}
{ingestionLog.length > 0 && (
<div className="bg-slate-900 rounded-xl p-4">
<h4 className="text-slate-400 text-sm mb-2">Log</h4>
<div className="font-mono text-sm text-green-400 space-y-1 max-h-64 overflow-y-auto">
{ingestionLog.map((line, i) => (
<div key={i}>{line}</div>
))}
</div>
</div>
)}
{/* Info Box */}
<div className="bg-teal-50 border border-teal-200 rounded-xl p-6">
<h4 className="font-semibold text-teal-800 flex items-center gap-2">
<span>💡</span>
Hinweis zur Datenquelle
</h4>
<p className="text-sm text-teal-700 mt-2">
Alle indexierten Dokumente sind amtliche Werke (§5 UrhG) und damit urheberrechtsfrei.
Sie werden nur fuer RAG/Retrieval verwendet, nicht fuer Modell-Training.
Die Daten werden lokal auf dem Mac Mini verarbeitet und nicht an externe Dienste gesendet.
</p>
</div>
</div>
)
}

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'use client'
import React from 'react'
import {
REGULATIONS,
DOC_TYPES,
INDUSTRIES_LIST,
INDUSTRIES,
INDUSTRY_REGULATION_MAP,
TYPE_COLORS,
THEMATIC_GROUPS,
KEY_INTERSECTIONS,
RAG_DOCUMENTS,
isInRag,
} from '../rag-data'
import type { UseRAGPageReturn } from '../_hooks/useRAGPage'
import {
FutureOutlookSection,
RagCoverageSection,
FutureRegulationsSection,
LegalBasisSection,
} from './MapTabSections'
interface MapTabProps {
hook: UseRAGPageReturn
}
export function MapTab({ hook }: MapTabProps) {
const {
expandedRegulation,
setExpandedRegulation,
expandedDocTypes,
setExpandedDocTypes,
expandedMatrixDoc,
setExpandedMatrixDoc,
setActiveTab,
} = hook
return (
<div className="space-y-6">
{/* Industry Filter */}
<IndustryFilter
expandedRegulation={expandedRegulation}
setExpandedRegulation={setExpandedRegulation}
/>
{/* Thematic Groups */}
<ThematicGroupsSection setActiveTab={setActiveTab} setExpandedRegulation={setExpandedRegulation} />
{/* Key Intersections */}
<KeyIntersectionsSection />
{/* Regulation Matrix */}
<RegulationMatrix
expandedDocTypes={expandedDocTypes}
setExpandedDocTypes={setExpandedDocTypes}
expandedMatrixDoc={expandedMatrixDoc}
setExpandedMatrixDoc={setExpandedMatrixDoc}
/>
{/* Future Outlook Section */}
<FutureOutlookSection />
{/* RAG Coverage Overview */}
<RagCoverageSection />
{/* Potential Future Regulations */}
<FutureRegulationsSection />
{/* Legal Basis Info */}
<LegalBasisSection />
</div>
)
}
// --- Sub-components ---
function IndustryFilter({
expandedRegulation,
setExpandedRegulation,
}: {
expandedRegulation: string | null
setExpandedRegulation: (v: string | null) => void
}) {
return (
<div className="bg-white rounded-xl border border-slate-200 p-6">
<h3 className="font-semibold text-slate-900 mb-4">Regulierungen nach Branche</h3>
<p className="text-sm text-slate-500 mb-4">
Waehlen Sie Ihre Branche, um relevante Regulierungen zu sehen.
</p>
<div className="grid grid-cols-2 md:grid-cols-5 gap-3">
{INDUSTRIES.map((industry) => {
const regs = INDUSTRY_REGULATION_MAP[industry.id] || []
return (
<button
key={industry.id}
onClick={() => setExpandedRegulation(industry.id === expandedRegulation ? null : industry.id)}
className={`p-4 rounded-lg border text-left transition-all ${
expandedRegulation === industry.id
? 'border-teal-500 bg-teal-50 ring-2 ring-teal-200'
: 'border-slate-200 hover:border-slate-300 hover:bg-slate-50'
}`}
>
<div className="text-2xl mb-2">{industry.icon}</div>
<div className="font-medium text-slate-900 text-sm">{industry.name}</div>
<div className="text-xs text-slate-500 mt-1">{regs.length} Regulierungen</div>
</button>
)
})}
</div>
{/* Selected Industry Details */}
{expandedRegulation && INDUSTRIES.find(i => i.id === expandedRegulation) && (
<div className="mt-6 p-4 bg-slate-50 rounded-lg">
{(() => {
const industry = INDUSTRIES.find(i => i.id === expandedRegulation)!
const regCodes = INDUSTRY_REGULATION_MAP[industry.id] || []
const regs = REGULATIONS.filter(r => regCodes.includes(r.code))
return (
<>
<div className="flex items-center gap-3 mb-4">
<span className="text-3xl">{industry.icon}</span>
<div>
<h4 className="font-semibold text-slate-900">{industry.name}</h4>
<p className="text-sm text-slate-500">{industry.description}</p>
</div>
</div>
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-3">
{regs.map((reg) => {
const regInRag = isInRag(reg.code)
return (
<div
key={reg.code}
className={`bg-white p-3 rounded-lg border ${regInRag ? 'border-green-200' : 'border-slate-200'}`}
>
<div className="flex items-center gap-2 mb-1">
<span className={`px-2 py-0.5 text-xs rounded ${TYPE_COLORS[reg.type]}`}>
{reg.code}
</span>
{regInRag ? (
<span className="px-1.5 py-0.5 text-[10px] font-bold bg-green-100 text-green-600 rounded">RAG</span>
) : (
<span className="px-1.5 py-0.5 text-[10px] font-bold bg-red-50 text-red-400 rounded"></span>
)}
</div>
<div className="font-medium text-sm text-slate-900">{reg.name}</div>
<div className="text-xs text-slate-500 mt-1 line-clamp-2">{reg.description}</div>
</div>
)
})}
</div>
</>
)
})()}
</div>
)}
</div>
)
}
function ThematicGroupsSection({
setActiveTab,
setExpandedRegulation,
}: {
setActiveTab: (v: any) => void
setExpandedRegulation: (v: string | null) => void
}) {
return (
<div className="bg-white rounded-xl border border-slate-200 p-6">
<h3 className="font-semibold text-slate-900 mb-4">Thematische Cluster</h3>
<p className="text-sm text-slate-500 mb-4">
Regulierungen gruppiert nach Themenbereichen - zeigt Ueberschneidungen.
</p>
<div className="space-y-4">
{THEMATIC_GROUPS.map((group) => (
<div key={group.id} className="border border-slate-200 rounded-lg overflow-hidden">
<div className={`${group.color} px-4 py-2 text-white font-medium flex items-center justify-between`}>
<span>{group.name}</span>
<span className="text-sm opacity-80">{group.regulations.length} Regulierungen</span>
</div>
<div className="p-4">
<p className="text-sm text-slate-600 mb-3">{group.description}</p>
<div className="flex flex-wrap gap-2">
{group.regulations.map((code) => {
const reg = REGULATIONS.find(r => r.code === code)
const codeInRag = isInRag(code)
return (
<span
key={code}
className={`px-3 py-1.5 rounded-full text-sm font-medium cursor-pointer ${
codeInRag
? 'bg-green-100 text-green-700 hover:bg-green-200'
: 'bg-slate-100 text-slate-700 hover:bg-slate-200'
}`}
onClick={() => {
setActiveTab('regulations')
setExpandedRegulation(code)
}}
title={`${reg?.fullName || code}${codeInRag ? ' (im RAG)' : ' (nicht im RAG)'}`}
>
{codeInRag ? '✓ ' : '✗ '}{code}
</span>
)
})}
</div>
</div>
</div>
))}
</div>
</div>
)
}
function KeyIntersectionsSection() {
return (
<div className="bg-white rounded-xl border border-slate-200 p-6">
<h3 className="font-semibold text-slate-900 mb-4">Wichtige Schnittstellen</h3>
<p className="text-sm text-slate-500 mb-4">
Bereiche, in denen sich mehrere Regulierungen ueberschneiden und zusammenwirken.
</p>
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-4">
{KEY_INTERSECTIONS.map((intersection, idx) => (
<div key={idx} className="bg-gradient-to-br from-slate-50 to-slate-100 rounded-lg p-4 border border-slate-200">
<div className="flex flex-wrap gap-1 mb-2">
{intersection.regulations.map((code) => (
<span
key={code}
className={`px-2 py-0.5 text-xs font-medium rounded ${
isInRag(code)
? 'bg-green-100 text-green-700'
: 'bg-red-50 text-red-500'
}`}
>
{isInRag(code) ? '✓ ' : '✗ '}{code}
</span>
))}
</div>
<div className="font-medium text-slate-900 text-sm mb-1">{intersection.topic}</div>
<div className="text-xs text-slate-500">{intersection.description}</div>
</div>
))}
</div>
</div>
)
}
function RegulationMatrix({
expandedDocTypes,
setExpandedDocTypes,
expandedMatrixDoc,
setExpandedMatrixDoc,
}: {
expandedDocTypes: string[]
setExpandedDocTypes: (fn: (prev: string[]) => string[]) => void
expandedMatrixDoc: string | null
setExpandedMatrixDoc: (v: string | null) => void
}) {
return (
<div className="bg-white rounded-xl border border-slate-200 overflow-hidden">
<div className="px-4 py-3 border-b bg-slate-50">
<h3 className="font-semibold text-slate-900">Branchen-Regulierungs-Matrix</h3>
<p className="text-sm text-slate-500">{RAG_DOCUMENTS.length} Dokumente in {DOC_TYPES.length} Kategorien</p>
</div>
<div className="overflow-x-auto">
<table className="w-full text-xs">
<thead className="bg-slate-50 border-b sticky top-0 z-10">
<tr>
<th className="px-2 py-2 text-left font-medium text-slate-500 sticky left-0 bg-slate-50 min-w-[200px]">Regulierung</th>
{INDUSTRIES_LIST.filter((i: any) => i.id !== 'all').map((industry: any) => (
<th key={industry.id} className="px-2 py-2 text-center font-medium text-slate-500 min-w-[60px]">
<div className="flex flex-col items-center">
<span className="text-lg">{industry.icon}</span>
<span className="text-[10px] leading-tight">{industry.name.split('/')[0]}</span>
</div>
</th>
))}
</tr>
</thead>
<tbody>
{DOC_TYPES.map((docType: any) => {
const docsInType = RAG_DOCUMENTS.filter((d: any) => d.doc_type === docType.id)
if (docsInType.length === 0) return null
const isExpanded = expandedDocTypes.includes(docType.id)
return (
<React.Fragment key={docType.id}>
<tr
className="bg-slate-100 border-t-2 border-slate-300 cursor-pointer hover:bg-slate-200"
onClick={() => {
setExpandedDocTypes(prev =>
prev.includes(docType.id)
? prev.filter((id: string) => id !== docType.id)
: [...prev, docType.id]
)
}}
>
<td colSpan={INDUSTRIES_LIST.length} className="px-3 py-2 font-bold text-slate-700">
<span className="mr-2">{isExpanded ? '\u25BC' : '\u25B6'}</span>
{docType.icon} {docType.label} ({docsInType.length})
</td>
</tr>
{isExpanded && docsInType.map((doc: any) => (
<React.Fragment key={doc.code}>
<tr
className={`hover:bg-slate-50 border-b border-slate-100 cursor-pointer ${expandedMatrixDoc === doc.code ? 'bg-teal-50' : ''}`}
onClick={() => setExpandedMatrixDoc(expandedMatrixDoc === doc.code ? null : doc.code)}
>
<td className="px-2 py-1.5 font-medium sticky left-0 bg-white">
<span className="flex items-center gap-1">
{isInRag(doc.code) ? (
<span className="text-green-500 text-[10px]"></span>
) : (
<span className="text-red-300 text-[10px]"></span>
)}
<span className="text-teal-600 truncate max-w-[180px]" title={doc.full_name || doc.name}>
{doc.name}
</span>
{(doc.applicability_note || doc.description) && (
<span className="text-slate-400 text-[10px] ml-1">{expandedMatrixDoc === doc.code ? '▼' : 'ⓘ'}</span>
)}
</span>
</td>
{INDUSTRIES_LIST.filter((i: any) => i.id !== 'all').map((industry: any) => {
const applies = doc.industries.includes(industry.id) || doc.industries.includes('all')
return (
<td key={industry.id} className="px-2 py-1.5 text-center">
{applies ? (
<span className="inline-flex items-center justify-center w-5 h-5 bg-teal-100 text-teal-600 rounded-full"></span>
) : (
<span className="inline-flex items-center justify-center w-5 h-5 text-slate-300"></span>
)}
</td>
)
})}
</tr>
{expandedMatrixDoc === doc.code && (doc.applicability_note || doc.description) && (
<tr className="bg-teal-50 border-b border-teal-200">
<td colSpan={INDUSTRIES_LIST.length} className="px-4 py-3">
<div className="text-xs space-y-1.5">
{doc.full_name && (
<p className="font-semibold text-slate-700">{doc.full_name}</p>
)}
{doc.applicability_note && (
<p className="text-teal-700 bg-teal-100 px-2 py-1 rounded inline-block">
<span className="font-medium">Branchenrelevanz:</span> {doc.applicability_note}
</p>
)}
{doc.description && (
<p className="text-slate-600">{doc.description}</p>
)}
{doc.effective_date && (
<p className="text-slate-400">In Kraft: {doc.effective_date}</p>
)}
</div>
</td>
</tr>
)}
</React.Fragment>
))}
</React.Fragment>
)
})}
</tbody>
</table>
</div>
</div>
)
}
// FutureOutlookSection, RagCoverageSection, FutureRegulationsSection,
// LegalBasisSection are imported from ./MapTabSections.tsx

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'use client'
import React from 'react'
import { REGULATIONS_IN_RAG } from '../rag-constants'
import {
RAG_DOCUMENTS,
FUTURE_OUTLOOK,
ADDITIONAL_REGULATIONS,
LEGAL_BASIS_INFO,
isInRag,
} from '../rag-data'
export function FutureOutlookSection() {
return (
<div className="bg-gradient-to-r from-indigo-50 to-purple-50 rounded-xl border border-indigo-200 p-6">
<div className="flex items-center gap-3 mb-4">
<span className="text-2xl">🔮</span>
<div>
<h3 className="font-semibold text-slate-900">Zukunftsaussicht</h3>
<p className="text-sm text-slate-500">Geplante Aenderungen und neue Regulierungen</p>
</div>
</div>
<div className="space-y-4">
{FUTURE_OUTLOOK.map((item) => (
<div key={item.id} className="bg-white rounded-lg border border-slate-200 overflow-hidden">
<div className="px-4 py-3 flex items-center justify-between bg-slate-50 border-b">
<div className="flex items-center gap-3">
<span className={`px-2 py-1 text-xs font-medium rounded ${
item.status === 'proposed' ? 'bg-yellow-100 text-yellow-700' :
item.status === 'agreed' ? 'bg-green-100 text-green-700' :
item.status === 'withdrawn' ? 'bg-red-100 text-red-700' :
'bg-blue-100 text-blue-700'
}`}>
{item.statusLabel}
</span>
<h4 className="font-semibold text-slate-900">{item.name}</h4>
</div>
<span className="text-sm text-slate-500">Erwartet: {item.expectedDate}</span>
</div>
<div className="p-4">
<p className="text-sm text-slate-600 mb-3">{item.description}</p>
<div className="mb-3">
<p className="text-xs font-medium text-slate-500 uppercase mb-2">Wichtige Aenderungen:</p>
<ul className="text-sm text-slate-600 space-y-1">
{item.keyChanges.slice(0, 4).map((change, idx) => (
<li key={idx} className="flex items-start gap-2">
<span className="text-teal-500 mt-1"></span>
<span>{change}</span>
</li>
))}
{item.keyChanges.length > 4 && (
<li className="text-slate-400 text-xs">+ {item.keyChanges.length - 4} weitere...</li>
)}
</ul>
</div>
<div className="flex items-center justify-between">
<div className="flex flex-wrap gap-1">
{item.affectedRegulations.map((code) => (
<span key={code} className="px-2 py-0.5 text-xs bg-slate-100 text-slate-600 rounded">
{code}
</span>
))}
</div>
<a
href={item.source}
target="_blank"
rel="noopener noreferrer"
className="text-xs text-teal-600 hover:underline"
>
Quelle
</a>
</div>
</div>
</div>
))}
</div>
</div>
)
}
export function RagCoverageSection() {
return (
<div className="bg-white rounded-xl border border-slate-200 p-6">
<div className="flex items-center gap-3 mb-4">
<span className="text-2xl"></span>
<div>
<h3 className="font-semibold text-slate-900">RAG-Abdeckung ({Object.keys(REGULATIONS_IN_RAG).length} von {RAG_DOCUMENTS.length} Regulierungen)</h3>
<p className="text-sm text-slate-500">Stand: Maerz 2026 Alle im RAG-System verfuegbaren Regulierungen (inkl. Verbraucherschutz Phase H)</p>
</div>
</div>
<div className="flex flex-wrap gap-2">
{RAG_DOCUMENTS.filter((r: any) => isInRag(r.code)).map((reg: any) => (
<span key={reg.code} className="px-2.5 py-1 text-xs font-medium bg-green-100 text-green-700 rounded-full border border-green-200">
{reg.code}
</span>
))}
</div>
<div className="mt-4 pt-4 border-t border-slate-100">
<p className="text-xs font-medium text-slate-500 mb-2">Noch nicht im RAG:</p>
<div className="flex flex-wrap gap-2">
{RAG_DOCUMENTS.filter((r: any) => !isInRag(r.code)).map((reg: any) => (
<span key={reg.code} className="px-2.5 py-1 text-xs font-medium bg-red-50 text-red-400 rounded-full border border-red-100">
{reg.code}
</span>
))}
</div>
</div>
</div>
)
}
export function FutureRegulationsSection() {
return (
<div className="bg-white rounded-xl border border-slate-200 p-6">
<div className="flex items-center gap-3 mb-4">
<span className="text-2xl">🔮</span>
<div>
<h3 className="font-semibold text-slate-900">Zukuenftige Regulierungen</h3>
<p className="text-sm text-slate-500">Noch nicht verabschiedet oder zur Erweiterung vorgesehen</p>
</div>
</div>
<div className="grid grid-cols-1 md:grid-cols-3 gap-4">
{ADDITIONAL_REGULATIONS.map((reg) => (
<div key={reg.code} className={`rounded-lg border p-4 ${
reg.status === 'active' ? 'border-green-200 bg-green-50' : 'border-yellow-200 bg-yellow-50'
}`}>
<div className="flex items-center justify-between mb-2">
<div className="flex items-center gap-2">
<span className={`px-2 py-0.5 text-xs font-bold rounded ${
reg.type === 'eu_regulation' ? 'bg-blue-100 text-blue-700' : 'bg-purple-100 text-purple-700'
}`}>
{reg.code}
</span>
<span className={`px-2 py-0.5 text-xs rounded ${
reg.status === 'active' ? 'bg-green-100 text-green-700' : 'bg-yellow-100 text-yellow-700'
}`}>
{reg.status === 'active' ? 'In Kraft' : 'Vorgeschlagen'}
</span>
</div>
<span className={`px-2 py-0.5 text-xs rounded ${
reg.priority === 'high' ? 'bg-red-100 text-red-700' : 'bg-slate-100 text-slate-600'
}`}>
{reg.priority === 'high' ? 'Hohe Prioritaet' : 'Mittel'}
</span>
</div>
<h4 className="font-medium text-slate-900 text-sm mb-1">{reg.name}</h4>
<p className="text-xs text-slate-600 mb-2">{reg.description}</p>
<div className="flex items-center justify-between text-xs">
<span className="text-slate-500">Ab: {reg.effectiveDate}</span>
{reg.celex && (
<a
href={`https://eur-lex.europa.eu/legal-content/DE/TXT/?uri=CELEX:${reg.celex}`}
target="_blank"
rel="noopener noreferrer"
className="text-teal-600 hover:underline"
>
EUR-Lex
</a>
)}
</div>
</div>
))}
</div>
</div>
)
}
export function LegalBasisSection() {
return (
<div className="bg-emerald-50 rounded-xl border border-emerald-200 p-6">
<div className="flex items-center gap-3 mb-4">
<span className="text-2xl"></span>
<div>
<h3 className="font-semibold text-slate-900">{LEGAL_BASIS_INFO.title}</h3>
<p className="text-sm text-emerald-700">{LEGAL_BASIS_INFO.summary}</p>
</div>
</div>
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
{LEGAL_BASIS_INFO.details.map((detail, idx) => (
<div key={idx} className="bg-white rounded-lg border border-emerald-100 p-3">
<div className="flex items-center gap-2 mb-1">
<span className={`px-2 py-0.5 text-xs font-medium rounded ${
detail.status === 'Erlaubt' ? 'bg-green-100 text-green-700' : 'bg-yellow-100 text-yellow-700'
}`}>
{detail.status}
</span>
<span className="font-medium text-sm text-slate-900">{detail.aspect}</span>
</div>
<p className="text-xs text-slate-600">{detail.explanation}</p>
</div>
))}
</div>
</div>
)
}

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'use client'
import React from 'react'
import { REGULATIONS_IN_RAG } from '../rag-constants'
import {
REGULATIONS,
COLLECTION_TOTALS,
TYPE_LABELS,
TYPE_COLORS,
isInRag,
getKnownChunks,
} from '../rag-data'
import type { UseRAGPageReturn } from '../_hooks/useRAGPage'
interface OverviewTabProps {
hook: UseRAGPageReturn
}
export function OverviewTab({ hook }: OverviewTabProps) {
const {
dsfaLoading,
dsfaStatus,
dsfaSources,
setRegulationCategory,
setActiveTab,
} = hook
return (
<div className="space-y-6">
{/* RAG Categories Overview */}
<div className="bg-white rounded-xl border border-slate-200 p-6">
<h3 className="font-semibold text-slate-900 mb-4">RAG-Kategorien</h3>
<div className="grid grid-cols-2 md:grid-cols-4 gap-4">
<button
onClick={() => { setRegulationCategory('regulations'); setActiveTab('regulations') }}
className="p-4 rounded-lg border border-blue-200 bg-blue-50 hover:bg-blue-100 transition-colors text-left"
>
<p className="text-xs font-medium text-blue-600 uppercase">Gesetze & Regulierungen</p>
<p className="text-2xl font-bold text-slate-900 mt-1">{COLLECTION_TOTALS.total_legal.toLocaleString()}</p>
<p className="text-xs text-slate-500 mt-1">{Object.keys(REGULATIONS_IN_RAG).length}/{REGULATIONS.length} im RAG</p>
</button>
<button
onClick={() => { setRegulationCategory('dsfa'); setActiveTab('regulations') }}
className="p-4 rounded-lg border border-purple-200 bg-purple-50 hover:bg-purple-100 transition-colors text-left"
>
<p className="text-xs font-medium text-purple-600 uppercase">DSFA Corpus</p>
<p className="text-2xl font-bold text-slate-900 mt-1">{dsfaLoading ? '-' : (dsfaStatus?.total_chunks || 0).toLocaleString()}</p>
<p className="text-xs text-slate-500 mt-1">{dsfaSources.length || '~70'} Quellen (WP248, DSK, Gesetze)</p>
</button>
<div className="p-4 rounded-lg border border-emerald-200 bg-emerald-50 text-left">
<p className="text-xs font-medium text-emerald-600 uppercase">NiBiS EH</p>
<p className="text-2xl font-bold text-slate-900 mt-1">7.996</p>
<p className="text-xs text-slate-500 mt-1">Chunks &middot; Bildungs-Erwartungshorizonte</p>
</div>
<div className="p-4 rounded-lg border border-orange-200 bg-orange-50 text-left">
<p className="text-xs font-medium text-orange-600 uppercase">Legal Templates</p>
<p className="text-2xl font-bold text-slate-900 mt-1">7.689</p>
<p className="text-xs text-slate-500 mt-1">Chunks &middot; Dokumentvorlagen (VVT, TOM, DSFA)</p>
</div>
</div>
</div>
{/* Quick Stats per Type */}
<div className="grid grid-cols-1 md:grid-cols-4 gap-4">
{Object.entries(TYPE_LABELS).map(([type, label]) => {
const regs = REGULATIONS.filter((r) => r.type === type)
const inRagCount = regs.filter((r) => isInRag(r.code)).length
const totalChunks = regs.reduce((sum, r) => sum + getKnownChunks(r.code), 0)
return (
<div key={type} className="bg-white rounded-xl p-4 border border-slate-200">
<div className="flex items-center gap-2 mb-2">
<span className={`px-2 py-0.5 text-xs rounded ${TYPE_COLORS[type]}`}>{label}</span>
<span className="text-slate-500 text-sm">{inRagCount}/{regs.length} im RAG</span>
</div>
<p className="text-xl font-bold text-slate-900">{totalChunks.toLocaleString()} Chunks</p>
</div>
)
})}
</div>
{/* Top Regulations */}
<div className="bg-white rounded-xl border border-slate-200 overflow-hidden">
<div className="px-4 py-3 border-b bg-slate-50">
<h3 className="font-semibold text-slate-900">Top Regulierungen (nach Chunks)</h3>
</div>
<div className="divide-y">
{[...REGULATIONS].sort((a, b) => getKnownChunks(b.code) - getKnownChunks(a.code))
.slice(0, 10)
.map((reg) => {
const chunks = getKnownChunks(reg.code)
return (
<div key={reg.code} className="px-4 py-3 flex items-center justify-between">
<div className="flex items-center gap-3">
{isInRag(reg.code) ? (
<span className="text-green-500 text-sm"></span>
) : (
<span className="text-red-400 text-sm"></span>
)}
<span className={`px-2 py-0.5 text-xs rounded ${TYPE_COLORS[reg.type]}`}>
{TYPE_LABELS[reg.type]}
</span>
<span className="font-medium text-slate-900">{reg.name}</span>
<span className="text-slate-500 text-sm">({reg.code})</span>
</div>
<span className={`font-bold ${chunks > 0 ? 'text-teal-600' : 'text-slate-300'}`}>{chunks > 0 ? chunks.toLocaleString() + ' Chunks' : '—'}</span>
</div>
)
})}
</div>
</div>
</div>
)
}

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'use client'
import React from 'react'
import type { PipelineCheckpoint } from '../types'
import type { UseRAGPageReturn } from '../_hooks/useRAGPage'
interface PipelineTabProps {
hook: UseRAGPageReturn
}
export function PipelineTab({ hook }: PipelineTabProps) {
const {
pipelineState,
pipelineLoading,
pipelineStarting,
autoRefresh,
setAutoRefresh,
elapsedTime,
fetchPipeline,
handleStartPipeline,
collectionStatus,
} = hook
return (
<div className="space-y-6">
{/* Pipeline Header */}
<div className="flex items-center justify-between flex-wrap gap-4">
<div className="flex items-center gap-4">
<h3 className="text-lg font-semibold text-slate-900">Compliance Pipeline Status</h3>
{pipelineState?.status === 'running' && elapsedTime && (
<div className="flex items-center gap-2 px-3 py-1.5 bg-blue-50 border border-blue-200 rounded-full">
<div className="w-2 h-2 bg-blue-500 rounded-full animate-pulse" />
<span className="text-sm font-medium text-blue-700">Laufzeit: {elapsedTime}</span>
</div>
)}
</div>
<div className="flex items-center gap-3">
<label className="flex items-center gap-2 text-sm text-slate-600 cursor-pointer">
<input
type="checkbox"
checked={autoRefresh}
onChange={(e) => setAutoRefresh(e.target.checked)}
className="w-4 h-4 text-teal-600 rounded border-slate-300 focus:ring-teal-500"
/>
Auto-Refresh
</label>
{(!pipelineState || pipelineState.status !== 'running') && (
<button
onClick={() => handleStartPipeline(false)}
disabled={pipelineStarting}
className="flex items-center gap-2 px-4 py-2 text-sm bg-green-600 text-white rounded-lg hover:bg-green-700 disabled:opacity-50"
>
{pipelineStarting ? (
<SpinnerIcon />
) : (
<PlayIcon />
)}
Pipeline starten
</button>
)}
<button
onClick={fetchPipeline}
disabled={pipelineLoading}
className="flex items-center gap-2 px-4 py-2 text-sm bg-teal-600 text-white rounded-lg hover:bg-teal-700 disabled:opacity-50"
>
{pipelineLoading ? <SpinnerIcon /> : <RefreshIcon />}
Aktualisieren
</button>
</div>
</div>
{/* No Data */}
{(!pipelineState || pipelineState.status === 'no_data') && !pipelineLoading && (
<NoDataCard pipelineStarting={pipelineStarting} handleStartPipeline={handleStartPipeline} />
)}
{/* Pipeline Status */}
{pipelineState && pipelineState.status !== 'no_data' && (
<>
{/* Status Card */}
<PipelineStatusCard pipelineState={pipelineState} />
{/* Current Progress */}
{pipelineState.status === 'running' && pipelineState.current_phase && (
<CurrentProgressCard pipelineState={pipelineState} collectionStatus={collectionStatus} />
)}
{/* Validation Summary */}
{pipelineState.validation_summary && (
<ValidationSummary summary={pipelineState.validation_summary} />
)}
{/* Checkpoints */}
<CheckpointsList checkpoints={pipelineState.checkpoints} />
{/* Summary */}
{Object.keys(pipelineState.summary || {}).length > 0 && (
<PipelineSummary summary={pipelineState.summary} />
)}
</>
)}
</div>
)
}
// --- Icons ---
function SpinnerIcon() {
return (
<svg className="animate-spin h-4 w-4" fill="none" viewBox="0 0 24 24">
<circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4" />
<path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.7.689 3 7.938l3-2.647z" />
</svg>
)
}
function PlayIcon() {
return (
<svg className="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M14.752 11.168l-3.197-2.132A1 1 0 0010 9.87v4.263a1 1 0 001.555.832l3.197-2.132a1 1 0 000-1.664z" />
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M21 12a9 9 0 11-18 0 9 9 0 0118 0z" />
</svg>
)
}
function RefreshIcon() {
return (
<svg className="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M4 4v5h.582m15.356 2A8.001 8.001 0 004.582 9m0 0H9m11 11v-5h-.581m0 0a8.003 8.003 0 01-15.357-2m15.357 2H15" />
</svg>
)
}
// --- Sub-components ---
function NoDataCard({
pipelineStarting,
handleStartPipeline,
}: {
pipelineStarting: boolean
handleStartPipeline: (skip: boolean) => void
}) {
return (
<div className="bg-white rounded-xl border border-slate-200 p-8 text-center">
<div className="w-16 h-16 mx-auto mb-4 rounded-full bg-slate-100 flex items-center justify-center">
<svg className="w-8 h-8 text-slate-400" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M9 12h6m-6 4h6m2 5H7a2 2 0 01-2-2V5a2 2 0 012-2h5.586a1 1 0 01.707.293l5.414 5.414a1 1 0 01.293.707V19a2 2 0 01-2 2z" />
</svg>
</div>
<h4 className="text-lg font-semibold text-slate-900 mb-2">Keine Pipeline-Daten</h4>
<p className="text-slate-600 mb-4">
Es wurde noch keine Pipeline ausgefuehrt. Starten Sie die Compliance-Pipeline um Checkpoint-Daten zu sehen.
</p>
<button
onClick={() => handleStartPipeline(false)}
disabled={pipelineStarting}
className="inline-flex items-center gap-2 px-6 py-3 bg-green-600 text-white rounded-lg hover:bg-green-700 disabled:opacity-50"
>
{pipelineStarting ? (
<>
<svg className="animate-spin h-5 w-5" fill="none" viewBox="0 0 24 24">
<circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4" />
<path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.7.689 3 7.938l3-2.647z" />
</svg>
Startet...
</>
) : (
<>
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M14.752 11.168l-3.197-2.132A1 1 0 0010 9.87v4.263a1 1 0 001.555.832l3.197-2.132a1 1 0 000-1.664z" />
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M21 12a9 9 0 11-18 0 9 9 0 0118 0z" />
</svg>
Pipeline jetzt starten
</>
)}
</button>
</div>
)
}
function PipelineStatusCard({ pipelineState }: { pipelineState: any }) {
return (
<div className="bg-white rounded-xl border border-slate-200 p-6">
<div className="flex items-center justify-between">
<div className="flex items-center gap-4">
<div className={`w-12 h-12 rounded-xl flex items-center justify-center ${
pipelineState.status === 'completed' ? 'bg-green-100' :
pipelineState.status === 'running' ? 'bg-blue-100' :
pipelineState.status === 'failed' ? 'bg-red-100' : 'bg-slate-100'
}`}>
{pipelineState.status === 'completed' && (
<svg className="w-6 h-6 text-green-600" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M5 13l4 4L19 7" />
</svg>
)}
{pipelineState.status === 'running' && (
<svg className="w-6 h-6 text-blue-600 animate-spin" fill="none" viewBox="0 0 24 24">
<circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4" />
<path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.7.689 3 7.938l3-2.647z" />
</svg>
)}
{pipelineState.status === 'failed' && (
<svg className="w-6 h-6 text-red-600" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M6 18L18 6M6 6l12 12" />
</svg>
)}
</div>
<div>
<h4 className="font-semibold text-slate-900">Pipeline {pipelineState.pipeline_id}</h4>
<p className="text-sm text-slate-500">
Gestartet: {pipelineState.started_at ? new Date(pipelineState.started_at).toLocaleString('de-DE') : '-'}
{pipelineState.completed_at && ` | Beendet: ${new Date(pipelineState.completed_at).toLocaleString('de-DE')}`}
</p>
</div>
</div>
<span className={`px-3 py-1 rounded-full text-sm font-medium ${
pipelineState.status === 'completed' ? 'bg-green-100 text-green-700' :
pipelineState.status === 'running' ? 'bg-blue-100 text-blue-700' :
pipelineState.status === 'failed' ? 'bg-red-100 text-red-700' : 'bg-slate-100 text-slate-700'
}`}>
{pipelineState.status === 'completed' ? 'Abgeschlossen' :
pipelineState.status === 'running' ? 'Laeuft' :
pipelineState.status === 'failed' ? 'Fehlgeschlagen' : pipelineState.status}
</span>
</div>
</div>
)
}
function CurrentProgressCard({ pipelineState, collectionStatus }: { pipelineState: any; collectionStatus: any }) {
return (
<div className="bg-gradient-to-r from-blue-50 to-indigo-50 rounded-xl border border-blue-200 p-6">
<div className="flex items-center justify-between mb-4">
<h4 className="font-semibold text-blue-900 flex items-center gap-2">
<svg className="w-5 h-5 animate-pulse" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M13 10V3L4 14h7v7l9-11h-7z" />
</svg>
Aktuelle Verarbeitung
</h4>
<span className="text-sm text-blue-600">Phase: {pipelineState.current_phase}</span>
</div>
{/* Phase Progress Indicator */}
<div className="flex items-center gap-2 mb-4">
{['ingestion', 'extraction', 'controls', 'measures'].map((phase, idx) => (
<div key={phase} className="flex-1 flex items-center">
<div className={`flex-1 h-2 rounded-full ${
pipelineState.current_phase === phase ? 'bg-blue-500 animate-pulse' :
pipelineState.checkpoints?.some((c: PipelineCheckpoint) => c.phase === phase && c.status === 'completed') ? 'bg-green-500' :
'bg-slate-200'
}`} />
{idx < 3 && <div className="w-2" />}
</div>
))}
</div>
<div className="flex justify-between text-xs text-slate-500 mb-4">
<span>Ingestion</span>
<span>Extraktion</span>
<span>Controls</span>
<span>Massnahmen</span>
</div>
{/* Current checkpoint details */}
{pipelineState.checkpoints?.filter((c: PipelineCheckpoint) => c.status === 'running').map((checkpoint: PipelineCheckpoint, idx: number) => (
<div key={idx} className="bg-white/60 rounded-lg p-4 mt-2">
<div className="flex items-center justify-between">
<div className="flex items-center gap-3">
<div className="w-3 h-3 bg-blue-500 rounded-full animate-pulse" />
<span className="font-medium text-slate-900">{checkpoint.name}</span>
</div>
{checkpoint.metrics && Object.keys(checkpoint.metrics).length > 0 && (
<div className="flex gap-2">
{Object.entries(checkpoint.metrics).slice(0, 3).map(([key, value]) => (
<span key={key} className="px-2 py-1 bg-blue-100 text-blue-700 rounded text-xs">
{key.replace(/_/g, ' ')}: {typeof value === 'number' ? value.toLocaleString() : String(value)}
</span>
))}
</div>
)}
</div>
</div>
))}
{/* Live chunk count */}
<div className="mt-4 flex items-center justify-between text-sm">
<span className="text-slate-600">Chunks in Qdrant:</span>
<span className="font-bold text-blue-700">{collectionStatus?.totalPoints?.toLocaleString() || '-'}</span>
</div>
</div>
)
}
function ValidationSummary({ summary }: { summary: { passed: number; warning: number; failed: number; total: number } }) {
return (
<div className="grid grid-cols-2 md:grid-cols-4 gap-4">
<div className="bg-white rounded-xl border border-green-200 p-4">
<p className="text-sm text-slate-500">Bestanden</p>
<p className="text-2xl font-bold text-green-600">{summary.passed}</p>
</div>
<div className="bg-white rounded-xl border border-yellow-200 p-4">
<p className="text-sm text-slate-500">Warnungen</p>
<p className="text-2xl font-bold text-yellow-600">{summary.warning}</p>
</div>
<div className="bg-white rounded-xl border border-red-200 p-4">
<p className="text-sm text-slate-500">Fehlgeschlagen</p>
<p className="text-2xl font-bold text-red-600">{summary.failed}</p>
</div>
<div className="bg-white rounded-xl border border-slate-200 p-4">
<p className="text-sm text-slate-500">Gesamt</p>
<p className="text-2xl font-bold text-slate-700">{summary.total}</p>
</div>
</div>
)
}
function CheckpointsList({ checkpoints }: { checkpoints?: PipelineCheckpoint[] }) {
return (
<div className="bg-white rounded-xl border border-slate-200 overflow-hidden">
<div className="px-4 py-3 border-b bg-slate-50">
<h3 className="font-semibold text-slate-900">Checkpoints ({checkpoints?.length || 0})</h3>
</div>
<div className="divide-y">
{checkpoints?.map((checkpoint, idx) => (
<div key={idx} className="p-4">
<div className="flex items-center justify-between mb-2">
<div className="flex items-center gap-3">
<span className={`w-3 h-3 rounded-full ${
checkpoint.phase === 'ingestion' ? 'bg-blue-500' :
checkpoint.phase === 'extraction' ? 'bg-purple-500' :
checkpoint.phase === 'controls' ? 'bg-green-500' : 'bg-orange-500'
}`} />
<span className="font-medium text-slate-900">{checkpoint.name}</span>
<span className="text-sm text-slate-500">
({checkpoint.phase}) |
{checkpoint.duration_seconds ? ` ${checkpoint.duration_seconds.toFixed(1)}s` : ' -'}
</span>
</div>
<span className={`px-2 py-0.5 rounded text-xs font-medium ${
checkpoint.status === 'completed' ? 'bg-green-100 text-green-700' :
checkpoint.status === 'running' ? 'bg-blue-100 text-blue-700' :
checkpoint.status === 'failed' ? 'bg-red-100 text-red-700' : 'bg-slate-100 text-slate-700'
}`}>
{checkpoint.status}
</span>
</div>
{/* Metrics */}
{Object.keys(checkpoint.metrics || {}).length > 0 && (
<div className="flex flex-wrap gap-2 mt-2">
{Object.entries(checkpoint.metrics).map(([key, value]) => (
<span key={key} className="px-2 py-1 bg-slate-100 rounded text-xs text-slate-600">
{key.replace(/_/g, ' ')}: <strong>{typeof value === 'number' ? value.toLocaleString() : String(value)}</strong>
</span>
))}
</div>
)}
{/* Validations */}
{checkpoint.validations?.length > 0 && (
<div className="mt-3 space-y-1">
{checkpoint.validations.map((v, vIdx) => (
<div key={vIdx} className="flex items-center gap-2 text-sm">
<span className={`w-4 h-4 flex items-center justify-center ${
v.status === 'passed' ? 'text-green-500' :
v.status === 'warning' ? 'text-yellow-500' : 'text-red-500'
}`}>
{v.status === 'passed' ? '✓' : v.status === 'warning' ? '⚠' : '✗'}
</span>
<span className="text-slate-700">{v.name}:</span>
<span className="text-slate-500">{v.message}</span>
</div>
))}
</div>
)}
{/* Error */}
{checkpoint.error && (
<div className="mt-2 p-2 bg-red-50 border border-red-200 rounded text-sm text-red-700">
{checkpoint.error}
</div>
)}
</div>
))}
{(!checkpoints || checkpoints.length === 0) && (
<div className="p-4 text-center text-slate-500">
Noch keine Checkpoints vorhanden.
</div>
)}
</div>
</div>
)
}
function PipelineSummary({ summary }: { summary: Record<string, any> }) {
return (
<div className="bg-white rounded-xl border border-slate-200 p-4">
<h4 className="font-semibold text-slate-900 mb-3">Zusammenfassung</h4>
<div className="grid grid-cols-2 md:grid-cols-4 gap-4">
{Object.entries(summary).map(([key, value]) => (
<div key={key}>
<p className="text-sm text-slate-500">{key.replace(/_/g, ' ')}</p>
<p className="font-bold text-slate-900">
{typeof value === 'number' ? value.toLocaleString() : String(value)}
</p>
</div>
))}
</div>
</div>
)
}

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'use client'
import React from 'react'
import {
REGULATIONS,
TYPE_COLORS,
TYPE_LABELS,
isInRag,
getKnownChunks,
} from '../rag-data'
import {
REGULATION_SOURCES,
REGULATION_LICENSES,
LICENSE_LABELS,
} from '../rag-sources'
import type { UseRAGPageReturn } from '../_hooks/useRAGPage'
interface RegulationsTabProps {
hook: UseRAGPageReturn
}
export function RegulationsTab({ hook }: RegulationsTabProps) {
const {
regulationCategory,
setRegulationCategory,
expandedRegulation,
setExpandedRegulation,
fetchStatus,
dsfaSources,
dsfaLoading,
expandedDsfaSource,
setExpandedDsfaSource,
fetchDsfaStatus,
setActiveTab,
} = hook
return (
<div className="space-y-4">
{/* Category Filter */}
<div className="flex items-center gap-2 flex-wrap">
<button
onClick={() => setRegulationCategory('regulations')}
className={`px-3 py-1.5 text-sm font-medium rounded-lg transition-colors ${
regulationCategory === 'regulations'
? 'bg-blue-100 text-blue-700 ring-2 ring-blue-300'
: 'bg-white text-slate-600 border border-slate-200 hover:bg-slate-50'
}`}
>
Gesetze & Regulierungen ({REGULATIONS.length})
</button>
<button
onClick={() => setRegulationCategory('dsfa')}
className={`px-3 py-1.5 text-sm font-medium rounded-lg transition-colors ${
regulationCategory === 'dsfa'
? 'bg-purple-100 text-purple-700 ring-2 ring-purple-300'
: 'bg-white text-slate-600 border border-slate-200 hover:bg-slate-50'
}`}
>
DSFA Quellen ({dsfaSources.length || '~70'})
</button>
<button
onClick={() => setRegulationCategory('nibis')}
className={`px-3 py-1.5 text-sm font-medium rounded-lg transition-colors ${
regulationCategory === 'nibis'
? 'bg-emerald-100 text-emerald-700 ring-2 ring-emerald-300'
: 'bg-white text-slate-600 border border-slate-200 hover:bg-slate-50'
}`}
>
NiBiS Dokumente
</button>
<button
onClick={() => setRegulationCategory('templates')}
className={`px-3 py-1.5 text-sm font-medium rounded-lg transition-colors ${
regulationCategory === 'templates'
? 'bg-orange-100 text-orange-700 ring-2 ring-orange-300'
: 'bg-white text-slate-600 border border-slate-200 hover:bg-slate-50'
}`}
>
Templates & Vorlagen
</button>
</div>
{/* Regulations Table */}
{regulationCategory === 'regulations' && (
<RegulationsTable
expandedRegulation={expandedRegulation}
setExpandedRegulation={setExpandedRegulation}
fetchStatus={fetchStatus}
setActiveTab={setActiveTab}
/>
)}
{/* DSFA Sources */}
{regulationCategory === 'dsfa' && (
<DsfaSourcesList
dsfaSources={dsfaSources}
dsfaLoading={dsfaLoading}
expandedDsfaSource={expandedDsfaSource}
setExpandedDsfaSource={setExpandedDsfaSource}
fetchDsfaStatus={fetchDsfaStatus}
/>
)}
{/* NiBiS Dokumente (info only) */}
{regulationCategory === 'nibis' && <NibisInfo />}
{/* Templates (info only) */}
{regulationCategory === 'templates' && <TemplatesInfo />}
</div>
)
}
// --- Sub-components ---
function RegulationsTable({
expandedRegulation,
setExpandedRegulation,
fetchStatus,
setActiveTab,
}: {
expandedRegulation: string | null
setExpandedRegulation: (v: string | null) => void
fetchStatus: () => void
setActiveTab: (v: any) => void
}) {
return (
<div className="bg-white rounded-xl border border-slate-200 overflow-hidden">
<div className="px-4 py-3 border-b bg-slate-50 flex items-center justify-between">
<h3 className="font-semibold text-slate-900">
Alle {REGULATIONS.length} Regulierungen
<span className="ml-2 text-sm font-normal text-slate-500">
({REGULATIONS.filter(r => isInRag(r.code)).length} im RAG,{' '}
{REGULATIONS.filter(r => !isInRag(r.code)).length} ausstehend)
</span>
</h3>
<button onClick={fetchStatus} className="text-sm text-teal-600 hover:text-teal-700">
Aktualisieren
</button>
</div>
<div className="overflow-x-auto">
<table className="w-full">
<thead className="bg-slate-50 border-b">
<tr>
<th className="px-4 py-3 text-center text-xs font-medium text-slate-500 uppercase w-12">RAG</th>
<th className="px-4 py-3 text-left text-xs font-medium text-slate-500 uppercase">Code</th>
<th className="px-4 py-3 text-left text-xs font-medium text-slate-500 uppercase">Typ</th>
<th className="px-4 py-3 text-left text-xs font-medium text-slate-500 uppercase">Name</th>
<th className="px-4 py-3 text-right text-xs font-medium text-slate-500 uppercase">Chunks</th>
<th className="px-4 py-3 text-right text-xs font-medium text-slate-500 uppercase">Erwartet</th>
<th className="px-4 py-3 text-center text-xs font-medium text-slate-500 uppercase">Status</th>
</tr>
</thead>
<tbody className="divide-y">
{REGULATIONS.map((reg) => {
const chunks = getKnownChunks(reg.code)
const inRag = isInRag(reg.code)
const statusColor = inRag ? 'text-green-500' : 'text-red-500'
const statusIcon = inRag ? '✓' : '❌'
const isExpanded = expandedRegulation === reg.code
return (
<React.Fragment key={reg.code}>
<tr
onClick={() => setExpandedRegulation(isExpanded ? null : reg.code)}
className="hover:bg-slate-50 cursor-pointer transition-colors"
>
<td className="px-4 py-3 text-center">
{isInRag(reg.code) ? (
<span className="inline-flex items-center justify-center w-6 h-6 bg-green-100 text-green-600 rounded-full text-xs font-bold" title="Im RAG vorhanden"></span>
) : (
<span className="inline-flex items-center justify-center w-6 h-6 bg-red-50 text-red-400 rounded-full text-xs font-bold" title="Nicht im RAG"></span>
)}
</td>
<td className="px-4 py-3 font-mono font-medium text-teal-600">
<span className="inline-flex items-center gap-2">
<span className={`transform transition-transform ${isExpanded ? 'rotate-90' : ''}`}></span>
{reg.code}
</span>
</td>
<td className="px-4 py-3">
<span className={`px-2 py-0.5 text-xs rounded ${TYPE_COLORS[reg.type]}`}>
{TYPE_LABELS[reg.type]}
</span>
</td>
<td className="px-4 py-3 text-slate-900">{reg.name}</td>
<td className="px-4 py-3 text-right font-bold">
<span className={chunks > 0 && chunks < 10 && reg.expected >= 10 ? 'text-amber-600' : ''}>
{chunks.toLocaleString()}
{chunks > 0 && chunks < 10 && reg.expected >= 10 && (
<span className="ml-1 inline-block w-4 h-4 text-[10px] leading-4 text-center bg-amber-100 text-amber-700 rounded-full" title="Verdaechtig niedrig — Ingestion pruefen"></span>
)}
</span>
</td>
<td className="px-4 py-3 text-right text-slate-500">{reg.expected}</td>
<td className={`px-4 py-3 text-center ${statusColor}`}>{statusIcon}</td>
</tr>
{isExpanded && (
<tr key={`${reg.code}-detail`} className="bg-slate-50">
<td colSpan={7} className="px-4 py-4">
<div className="bg-white rounded-lg border border-slate-200 p-4 space-y-3">
<div>
<h4 className="font-semibold text-slate-900 mb-1">{reg.fullName}</h4>
<p className="text-sm text-slate-600">{reg.description}</p>
</div>
<div className="grid grid-cols-1 md:grid-cols-2 gap-4 pt-2 border-t border-slate-100">
<div>
<p className="text-xs font-medium text-slate-500 uppercase mb-1">Relevant fuer</p>
<div className="flex flex-wrap gap-1">
{reg.relevantFor.map((item, idx) => (
<span key={idx} className="px-2 py-0.5 text-xs bg-slate-100 text-slate-600 rounded">
{item}
</span>
))}
</div>
</div>
<div>
<p className="text-xs font-medium text-slate-500 uppercase mb-1">Kernthemen</p>
<div className="flex flex-wrap gap-1">
{reg.keyTopics.map((topic, idx) => (
<span key={idx} className="px-2 py-0.5 text-xs bg-teal-50 text-teal-700 rounded">
{topic}
</span>
))}
</div>
</div>
</div>
<div className="flex items-center justify-between pt-2 border-t border-slate-100 text-xs text-slate-500">
<div className="flex items-center gap-4">
<span>In Kraft seit: {reg.effectiveDate}</span>
{REGULATION_LICENSES[reg.code] && (
<span className="flex items-center gap-1">
<span className="px-1.5 py-0.5 bg-slate-100 text-slate-600 rounded text-[10px] font-medium">
{LICENSE_LABELS[REGULATION_LICENSES[reg.code].license] || REGULATION_LICENSES[reg.code].license}
</span>
<span className="text-slate-400">{REGULATION_LICENSES[reg.code].licenseNote}</span>
</span>
)}
</div>
<div className="flex items-center gap-3">
{REGULATION_SOURCES[reg.code] && (
<a
href={REGULATION_SOURCES[reg.code]}
target="_blank"
rel="noopener noreferrer"
onClick={(e) => e.stopPropagation()}
className="text-blue-600 hover:text-blue-700 font-medium"
>
Originalquelle
</a>
)}
<button
onClick={(e) => {
e.stopPropagation()
setActiveTab('chunks')
}}
className="text-teal-600 hover:text-teal-700 font-medium"
>
In Chunks suchen
</button>
</div>
</div>
</div>
</td>
</tr>
)}
</React.Fragment>
)
})}
</tbody>
</table>
</div>
</div>
)
}
function DsfaSourcesList({
dsfaSources,
dsfaLoading,
expandedDsfaSource,
setExpandedDsfaSource,
fetchDsfaStatus,
}: {
dsfaSources: any[]
dsfaLoading: boolean
expandedDsfaSource: string | null
setExpandedDsfaSource: (v: string | null) => void
fetchDsfaStatus: () => void
}) {
const typeColors: Record<string, string> = {
regulation: 'bg-blue-100 text-blue-700',
legislation: 'bg-indigo-100 text-indigo-700',
guideline: 'bg-teal-100 text-teal-700',
checklist: 'bg-yellow-100 text-yellow-700',
standard: 'bg-green-100 text-green-700',
methodology: 'bg-purple-100 text-purple-700',
specification: 'bg-orange-100 text-orange-700',
catalog: 'bg-pink-100 text-pink-700',
guidance: 'bg-cyan-100 text-cyan-700',
}
return (
<div className="bg-white rounded-xl border border-slate-200 overflow-hidden">
<div className="px-4 py-3 border-b bg-slate-50 flex items-center justify-between">
<div>
<h3 className="font-semibold text-slate-900">DSFA Quellen ({dsfaSources.length || '~70'})</h3>
<p className="text-xs text-slate-500">WP248, DSK Kurzpapiere, Muss-Listen, nationale Datenschutzgesetze</p>
</div>
<button onClick={fetchDsfaStatus} className="text-sm text-teal-600 hover:text-teal-700">
Aktualisieren
</button>
</div>
{dsfaLoading ? (
<div className="p-8 text-center text-slate-500">Lade DSFA-Quellen...</div>
) : dsfaSources.length === 0 ? (
<div className="p-8 text-center text-slate-500">
<p className="mb-2">Keine DSFA-Quellen vom Backend geladen.</p>
<p className="text-xs">Endpunkt: <code className="bg-slate-100 px-1 rounded">/api/dsfa-corpus?action=sources</code></p>
</div>
) : (
<div className="divide-y">
{dsfaSources.map((source) => {
const isExpanded = expandedDsfaSource === source.source_code
return (
<React.Fragment key={source.source_code}>
<div
onClick={() => setExpandedDsfaSource(isExpanded ? null : source.source_code)}
className="px-4 py-3 hover:bg-slate-50 cursor-pointer transition-colors flex items-center justify-between"
>
<div className="flex items-center gap-3">
<span className={`transform transition-transform text-xs ${isExpanded ? 'rotate-90' : ''}`}></span>
<span className="font-mono text-sm text-purple-600 font-medium">{source.source_code}</span>
<span className={`px-2 py-0.5 text-xs rounded ${typeColors[source.document_type] || 'bg-slate-100 text-slate-600'}`}>
{source.document_type}
</span>
<span className="text-sm text-slate-900">{source.name}</span>
</div>
<div className="flex items-center gap-3">
<span className="px-1.5 py-0.5 text-[10px] font-medium bg-slate-100 text-slate-500 rounded uppercase">
{source.language}
</span>
{source.chunk_count != null && (
<span className="text-sm font-bold text-purple-600">{source.chunk_count} Chunks</span>
)}
</div>
</div>
{isExpanded && (
<div className="px-4 pb-4 bg-slate-50">
<div className="bg-white rounded-lg border border-slate-200 p-4 space-y-3">
<div>
<h4 className="font-semibold text-slate-900 mb-1">{source.full_name || source.name}</h4>
{source.organization && (
<p className="text-sm text-slate-600">Organisation: {source.organization}</p>
)}
</div>
<div className="flex items-center gap-4 pt-2 border-t border-slate-100 text-xs text-slate-500">
<span className="flex items-center gap-1">
<span className="px-1.5 py-0.5 bg-slate-100 text-slate-600 rounded text-[10px] font-medium">
{LICENSE_LABELS[source.license_code] || source.license_code}
</span>
<span className="text-slate-400">{source.attribution_text}</span>
</span>
</div>
{source.source_url && (
<div className="text-xs">
<a
href={source.source_url}
target="_blank"
rel="noopener noreferrer"
className="text-teal-600 hover:underline"
onClick={(e) => e.stopPropagation()}
>
Quelle: {source.source_url}
</a>
</div>
)}
</div>
</div>
)}
</React.Fragment>
)
})}
</div>
)}
</div>
)
}
function NibisInfo() {
return (
<div className="bg-white rounded-xl border border-slate-200 p-6">
<div className="flex items-center gap-3 mb-4">
<div className="w-10 h-10 rounded-lg bg-emerald-100 flex items-center justify-center text-xl">📚</div>
<div>
<h3 className="font-semibold text-slate-900">NiBiS Erwartungshorizonte</h3>
<p className="text-sm text-slate-500">Collection: <code className="bg-slate-100 px-1 rounded">bp_nibis_eh</code></p>
</div>
</div>
<div className="grid grid-cols-3 gap-4 mb-4">
<div className="bg-emerald-50 rounded-lg p-4 border border-emerald-200">
<p className="text-sm text-emerald-600 font-medium">Chunks</p>
<p className="text-2xl font-bold text-slate-900">7.996</p>
</div>
<div className="bg-emerald-50 rounded-lg p-4 border border-emerald-200">
<p className="text-sm text-emerald-600 font-medium">Vector Size</p>
<p className="text-2xl font-bold text-slate-900">1024</p>
</div>
<div className="bg-emerald-50 rounded-lg p-4 border border-emerald-200">
<p className="text-sm text-emerald-600 font-medium">Typ</p>
<p className="text-2xl font-bold text-slate-900">BGE-M3</p>
</div>
</div>
<p className="text-sm text-slate-600">
Bildungsinhalte aus dem Niedersaechsischen Bildungsserver (NiBiS). Enthaelt Erwartungshorizonte fuer
verschiedene Faecher und Schulformen. Wird ueber die Klausur-Korrektur fuer EH-Matching genutzt.
Diese Daten sind nicht direkt compliance-relevant.
</p>
</div>
)
}
function TemplatesInfo() {
return (
<div className="bg-white rounded-xl border border-slate-200 p-6">
<div className="flex items-center gap-3 mb-4">
<div className="w-10 h-10 rounded-lg bg-orange-100 flex items-center justify-center text-xl">📋</div>
<div>
<h3 className="font-semibold text-slate-900">Legal Templates & Vorlagen</h3>
<p className="text-sm text-slate-500">Collection: <code className="bg-slate-100 px-1 rounded">bp_legal_templates</code></p>
</div>
</div>
<div className="grid grid-cols-3 gap-4 mb-4">
<div className="bg-orange-50 rounded-lg p-4 border border-orange-200">
<p className="text-sm text-orange-600 font-medium">Chunks</p>
<p className="text-2xl font-bold text-slate-900">7.689</p>
</div>
<div className="bg-orange-50 rounded-lg p-4 border border-orange-200">
<p className="text-sm text-orange-600 font-medium">Vector Size</p>
<p className="text-2xl font-bold text-slate-900">1024</p>
</div>
<div className="bg-orange-50 rounded-lg p-4 border border-orange-200">
<p className="text-sm text-orange-600 font-medium">Typ</p>
<p className="text-2xl font-bold text-slate-900">BGE-M3</p>
</div>
</div>
<p className="text-sm text-slate-600">
Vorlagen fuer VVT (Verzeichnis von Verarbeitungstaetigkeiten), TOM (Technisch-Organisatorische Massnahmen),
DSFA-Berichte und weitere Compliance-Dokumente. Werden vom AI Compliance SDK fuer die Dokumentgenerierung genutzt.
</p>
</div>
)
}

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'use client'
import React from 'react'
import type { UseRAGPageReturn } from '../_hooks/useRAGPage'
interface SearchTabProps {
hook: UseRAGPageReturn
}
export function SearchTab({ hook }: SearchTabProps) {
const {
searchQuery,
setSearchQuery,
searchResults,
searching,
selectedRegulations,
setSelectedRegulations,
handleSearch,
} = hook
return (
<div className="space-y-6">
{/* Search Box */}
<div className="bg-white rounded-xl border border-slate-200 p-6">
<h3 className="font-semibold text-slate-900 mb-4">Semantische Suche</h3>
<div className="space-y-4">
<div>
<label className="block text-sm font-medium text-slate-700 mb-2">Suchanfrage</label>
<textarea
value={searchQuery}
onChange={(e) => setSearchQuery(e.target.value)}
placeholder="z.B. 'Welche Anforderungen gibt es fuer KI-Systeme mit hohem Risiko?'"
rows={3}
className="w-full px-3 py-2 border rounded-lg focus:ring-2 focus:ring-teal-500 focus:border-teal-500"
/>
</div>
<div>
<label className="block text-sm font-medium text-slate-700 mb-2">Filter (optional)</label>
<div className="flex flex-wrap gap-2">
{['GDPR', 'AIACT', 'CRA', 'NIS2', 'BSI-TR-03161-1'].map((code) => (
<button
key={code}
onClick={() => {
setSelectedRegulations((prev: string[]) =>
prev.includes(code) ? prev.filter((c: string) => c !== code) : [...prev, code]
)
}}
className={`px-3 py-1 text-sm rounded-full border transition-colors ${
selectedRegulations.includes(code)
? 'bg-teal-100 border-teal-300 text-teal-700'
: 'bg-white border-slate-200 text-slate-600 hover:border-slate-300'
}`}
>
{code}
</button>
))}
</div>
</div>
<button
onClick={handleSearch}
disabled={searching || !searchQuery.trim()}
className="px-6 py-2 bg-teal-600 text-white rounded-lg hover:bg-teal-700 disabled:opacity-50"
>
{searching ? 'Suche...' : 'Suchen'}
</button>
</div>
</div>
{/* Search Results */}
{searchResults.length > 0 && (
<div className="bg-white rounded-xl border border-slate-200 overflow-hidden">
<div className="px-4 py-3 border-b bg-slate-50">
<h3 className="font-semibold text-slate-900">{searchResults.length} Ergebnisse</h3>
</div>
<div className="divide-y">
{searchResults.map((result, i) => (
<div key={i} className="p-4">
<div className="flex items-center gap-2 mb-2">
<span className="px-2 py-0.5 text-xs rounded bg-teal-100 text-teal-700">
{result.regulation_code}
</span>
{result.article && (
<span className="text-sm text-slate-500">Art. {result.article}</span>
)}
<span className="ml-auto text-sm text-slate-400">
Score: {(result.score * 100).toFixed(1)}%
</span>
</div>
<p className="text-slate-700 text-sm">{result.text}</p>
</div>
))}
</div>
</div>
)}
</div>
)
}

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@@ -0,0 +1,441 @@
'use client'
import { useState, useEffect, useCallback } from 'react'
import { API_PROXY, DSFA_API_PROXY } from '../rag-data'
import type {
TabId,
RegulationCategory,
CollectionStatus,
SearchResult,
DsfaSource,
DsfaCorpusStatus,
CustomDocument,
PipelineState,
PipelineCheckpoint,
} from '../types'
export function useRAGPage() {
const [activeTab, setActiveTab] = useState<TabId>('overview')
const [collectionStatus, setCollectionStatus] = useState<CollectionStatus | null>(null)
const [loading, setLoading] = useState(true)
const [searchQuery, setSearchQuery] = useState('')
const [searchResults, setSearchResults] = useState<SearchResult[]>([])
const [searching, setSearching] = useState(false)
const [selectedRegulations, setSelectedRegulations] = useState<string[]>([])
const [ingestionRunning, setIngestionRunning] = useState(false)
const [ingestionLog, setIngestionLog] = useState<string[]>([])
const [pipelineState, setPipelineState] = useState<PipelineState | null>(null)
const [pipelineLoading, setPipelineLoading] = useState(false)
const [pipelineStarting, setPipelineStarting] = useState(false)
const [expandedRegulation, setExpandedRegulation] = useState<string | null>(null)
const [autoRefresh, setAutoRefresh] = useState(true)
const [elapsedTime, setElapsedTime] = useState<string>('')
const [expandedDocTypes, setExpandedDocTypes] = useState<string[]>(['eu_regulation', 'eu_directive'])
const [expandedMatrixDoc, setExpandedMatrixDoc] = useState<string | null>(null)
// DSFA corpus state
const [dsfaSources, setDsfaSources] = useState<DsfaSource[]>([])
const [dsfaStatus, setDsfaStatus] = useState<DsfaCorpusStatus | null>(null)
const [dsfaLoading, setDsfaLoading] = useState(false)
const [regulationCategory, setRegulationCategory] = useState<RegulationCategory>('regulations')
const [expandedDsfaSource, setExpandedDsfaSource] = useState<string | null>(null)
// Data tab state
const [customDocuments, setCustomDocuments] = useState<CustomDocument[]>([])
const [uploadFile, setUploadFile] = useState<File | null>(null)
const [uploadTitle, setUploadTitle] = useState('')
const [uploadCode, setUploadCode] = useState('')
const [uploading, setUploading] = useState(false)
const [linkUrl, setLinkUrl] = useState('')
const [linkTitle, setLinkTitle] = useState('')
const [linkCode, setLinkCode] = useState('')
const [addingLink, setAddingLink] = useState(false)
const fetchStatus = useCallback(async () => {
setLoading(true)
try {
const res = await fetch(`${API_PROXY}?action=status`)
if (res.ok) {
const data = await res.json()
setCollectionStatus(data)
}
} catch (error) {
console.error('Failed to fetch status:', error)
} finally {
setLoading(false)
}
}, [])
const fetchPipeline = useCallback(async () => {
setPipelineLoading(true)
try {
const res = await fetch(`${API_PROXY}?action=pipeline-checkpoints`)
if (res.ok) {
const data = await res.json()
setPipelineState(data)
}
} catch (error) {
console.error('Failed to fetch pipeline:', error)
} finally {
setPipelineLoading(false)
}
}, [])
const fetchDsfaStatus = useCallback(async () => {
setDsfaLoading(true)
try {
const [statusRes, sourcesRes] = await Promise.all([
fetch(`${DSFA_API_PROXY}?action=status`),
fetch(`${DSFA_API_PROXY}?action=sources`),
])
if (statusRes.ok) {
const data = await statusRes.json()
setDsfaStatus(data)
}
if (sourcesRes.ok) {
const data = await sourcesRes.json()
setDsfaSources(data.sources || data || [])
}
} catch (error) {
console.error('Failed to fetch DSFA status:', error)
} finally {
setDsfaLoading(false)
}
}, [])
const fetchCustomDocuments = useCallback(async () => {
try {
const res = await fetch(`${API_PROXY}?action=custom-documents`)
if (res.ok) {
const data = await res.json()
setCustomDocuments(data.documents || [])
}
} catch (error) {
console.error('Failed to fetch custom documents:', error)
}
}, [])
const handleUpload = async () => {
if (!uploadFile || !uploadTitle || !uploadCode) return
setUploading(true)
try {
const formData = new FormData()
formData.append('file', uploadFile)
formData.append('title', uploadTitle)
formData.append('code', uploadCode)
formData.append('document_type', 'custom')
const res = await fetch(`${API_PROXY}?action=upload`, {
method: 'POST',
body: formData,
})
if (res.ok) {
setUploadFile(null)
setUploadTitle('')
setUploadCode('')
fetchCustomDocuments()
fetchStatus()
}
} catch (error) {
console.error('Upload failed:', error)
} finally {
setUploading(false)
}
}
const handleAddLink = async () => {
if (!linkUrl || !linkTitle || !linkCode) return
setAddingLink(true)
try {
const res = await fetch(`${API_PROXY}?action=add-link`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
url: linkUrl,
title: linkTitle,
code: linkCode,
document_type: 'custom',
}),
})
if (res.ok) {
setLinkUrl('')
setLinkTitle('')
setLinkCode('')
fetchCustomDocuments()
}
} catch (error) {
console.error('Add link failed:', error)
} finally {
setAddingLink(false)
}
}
const handleDeleteDocument = async (docId: string) => {
try {
const res = await fetch(`${API_PROXY}?action=delete-document&docId=${docId}`, {
method: 'DELETE',
})
if (res.ok) {
fetchCustomDocuments()
fetchStatus()
}
} catch (error) {
console.error('Delete failed:', error)
}
}
const handleStartPipeline = async (skipIngestion: boolean = false) => {
setPipelineStarting(true)
try {
const res = await fetch(`${API_PROXY}?action=start-pipeline`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
force_reindex: false,
skip_ingestion: skipIngestion,
}),
})
if (res.ok) {
setTimeout(() => {
fetchPipeline()
setPipelineStarting(false)
}, 2000)
} else {
setPipelineStarting(false)
}
} catch (error) {
console.error('Failed to start pipeline:', error)
setPipelineStarting(false)
}
}
const handleSearch = async () => {
if (!searchQuery.trim()) return
setSearching(true)
try {
const params = new URLSearchParams({
action: 'search',
query: searchQuery,
top_k: '5',
})
if (selectedRegulations.length > 0) {
params.append('regulations', selectedRegulations.join(','))
}
const res = await fetch(`${API_PROXY}?${params}`)
if (res.ok) {
const data = await res.json()
setSearchResults(data.results || [])
}
} catch (error) {
console.error('Search failed:', error)
} finally {
setSearching(false)
}
}
const triggerIngestion = async () => {
setIngestionRunning(true)
setIngestionLog(['Starte Re-Ingestion aller 19 Regulierungen...'])
try {
const res = await fetch(`${API_PROXY}?action=ingest`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ force: true }),
})
if (res.ok) {
const data = await res.json()
setIngestionLog((prev) => [...prev, 'Ingestion gestartet. Job-ID: ' + (data.job_id || 'N/A')])
const checkStatus = setInterval(async () => {
try {
const statusRes = await fetch(`${API_PROXY}?action=ingestion-status`)
if (statusRes.ok) {
const statusData = await statusRes.json()
if (statusData.completed) {
clearInterval(checkStatus)
setIngestionRunning(false)
setIngestionLog((prev) => [...prev, 'Ingestion abgeschlossen!'])
fetchStatus()
} else if (statusData.current_regulation) {
setIngestionLog((prev) => [
...prev,
`Verarbeite: ${statusData.current_regulation} (${statusData.processed}/${statusData.total})`,
])
}
}
} catch {
// Ignore polling errors
}
}, 5000)
} else {
setIngestionLog((prev) => [...prev, 'Fehler: ' + res.statusText])
setIngestionRunning(false)
}
} catch (error) {
setIngestionLog((prev) => [...prev, 'Fehler: ' + String(error)])
setIngestionRunning(false)
}
}
const getRegulationChunks = (code: string): number => {
return collectionStatus?.regulations?.[code] || 0
}
const getTotalChunks = (): number => {
return collectionStatus?.totalPoints || 0
}
// Initial data fetch
useEffect(() => {
fetchStatus()
fetchDsfaStatus()
}, [fetchStatus, fetchDsfaStatus])
// Fetch pipeline when tab changes
useEffect(() => {
if (activeTab === 'pipeline') {
fetchPipeline()
}
}, [activeTab, fetchPipeline])
// Fetch custom documents when data tab is active
useEffect(() => {
if (activeTab === 'data') {
fetchCustomDocuments()
}
}, [activeTab, fetchCustomDocuments])
// Auto-refresh pipeline status when running
useEffect(() => {
if (activeTab !== 'pipeline' || !autoRefresh) return
const isRunning = pipelineState?.status === 'running'
if (isRunning) {
const interval = setInterval(() => {
fetchPipeline()
fetchStatus()
}, 5000)
return () => clearInterval(interval)
}
}, [activeTab, autoRefresh, pipelineState?.status, fetchPipeline, fetchStatus])
// Update elapsed time
useEffect(() => {
if (!pipelineState?.started_at || pipelineState?.status !== 'running') {
setElapsedTime('')
return
}
const updateElapsed = () => {
const start = new Date(pipelineState.started_at!).getTime()
const now = Date.now()
const diff = Math.floor((now - start) / 1000)
const hours = Math.floor(diff / 3600)
const minutes = Math.floor((diff % 3600) / 60)
const seconds = diff % 60
if (hours > 0) {
setElapsedTime(`${hours}h ${minutes}m ${seconds}s`)
} else if (minutes > 0) {
setElapsedTime(`${minutes}m ${seconds}s`)
} else {
setElapsedTime(`${seconds}s`)
}
}
updateElapsed()
const interval = setInterval(updateElapsed, 1000)
return () => clearInterval(interval)
}, [pipelineState?.started_at, pipelineState?.status])
return {
// Tab state
activeTab,
setActiveTab,
// Collection status
collectionStatus,
loading,
fetchStatus,
// Search
searchQuery,
setSearchQuery,
searchResults,
searching,
selectedRegulations,
setSelectedRegulations,
handleSearch,
// Ingestion
ingestionRunning,
ingestionLog,
triggerIngestion,
// Pipeline
pipelineState,
pipelineLoading,
pipelineStarting,
autoRefresh,
setAutoRefresh,
elapsedTime,
fetchPipeline,
handleStartPipeline,
// Regulation expansion
expandedRegulation,
setExpandedRegulation,
expandedDocTypes,
setExpandedDocTypes,
expandedMatrixDoc,
setExpandedMatrixDoc,
// DSFA
dsfaSources,
dsfaStatus,
dsfaLoading,
regulationCategory,
setRegulationCategory,
expandedDsfaSource,
setExpandedDsfaSource,
fetchDsfaStatus,
// Data tab
customDocuments,
uploadFile,
setUploadFile,
uploadTitle,
setUploadTitle,
uploadCode,
setUploadCode,
uploading,
handleUpload,
linkUrl,
setLinkUrl,
linkTitle,
setLinkTitle,
linkCode,
setLinkCode,
addingLink,
handleAddLink,
handleDeleteDocument,
fetchCustomDocuments,
// Helpers
getRegulationChunks,
getTotalChunks,
}
}
export type UseRAGPageReturn = ReturnType<typeof useRAGPage>

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/**
* Constants and types for ChunkBrowserQA component.
*/
export type RegGroupKey =
| 'eu_regulation'
| 'eu_directive'
| 'de_law'
| 'at_law'
| 'ch_law'
| 'national_law'
| 'bsi_standard'
| 'eu_guideline'
| 'international_standard'
| 'other'
export const GROUP_LABELS: Record<RegGroupKey, string> = {
eu_regulation: 'EU Verordnungen',
eu_directive: 'EU Richtlinien',
de_law: 'DE Gesetze',
at_law: 'AT Gesetze',
ch_law: 'CH Gesetze',
national_law: 'Nationale Gesetze (EU)',
bsi_standard: 'BSI Standards',
eu_guideline: 'EDPB / Guidelines',
international_standard: 'Internationale Standards',
other: 'Sonstige',
}
export const GROUP_ORDER: RegGroupKey[] = [
'eu_regulation', 'eu_directive', 'de_law', 'at_law', 'ch_law',
'national_law', 'bsi_standard', 'eu_guideline', 'international_standard', 'other',
]
export const COLLECTIONS = [
'bp_compliance_gesetze',
'bp_compliance_ce',
'bp_compliance_datenschutz',
'bp_dsfa_corpus',
'bp_compliance_recht',
'bp_legal_templates',
'bp_nibis_eh',
]
export const STRUCTURAL_KEYS = new Set([
'article', 'artikel', 'paragraph', 'section_title', 'section', 'chapter',
'abschnitt', 'kapitel', 'pages', 'page',
])
export const HIDDEN_KEYS = new Set([
'text', 'content', 'chunk_text', 'id', 'embedding',
])

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'use client'
import React from 'react'
import { STRUCTURAL_KEYS, HIDDEN_KEYS } from './ChunkBrowserConstants'
import { getChunkText, getStructuralInfo } from './ChunkBrowserHelpers'
import { RAG_PDF_MAPPING } from './rag-pdf-mapping'
import { REGULATIONS_IN_RAG } from '../rag-constants'
interface ChunkBrowserContentProps {
selectedRegulation: string | null
docLoading: boolean
docChunks: Record<string, unknown>[]
docChunkIndex: number
docTotalChunks: number
splitViewActive: boolean
chunksPerPage: number
pdfExists: boolean | null
}
export function ChunkBrowserContent({
selectedRegulation,
docLoading,
docChunks,
docChunkIndex,
docTotalChunks,
splitViewActive,
chunksPerPage,
pdfExists,
}: ChunkBrowserContentProps) {
const currentChunk = docChunks[docChunkIndex] || null
const prevChunk = docChunkIndex > 0 ? docChunks[docChunkIndex - 1] : null
const nextChunk = docChunkIndex < docChunks.length - 1 ? docChunks[docChunkIndex + 1] : null
const structInfo = getStructuralInfo(currentChunk)
// PDF page estimation
const estimatePdfPage = (chunk: Record<string, unknown> | null, chunkIdx: number): number => {
if (chunk) {
const pages = chunk.pages as number[] | undefined
if (Array.isArray(pages) && pages.length > 0) return pages[0]
const page = chunk.page as number | undefined
if (typeof page === 'number' && page > 0) return page
}
const mapping = selectedRegulation ? RAG_PDF_MAPPING[selectedRegulation] : null
const cpp = mapping?.chunksPerPage || chunksPerPage
return Math.floor(chunkIdx / cpp) + 1
}
const pdfPage = estimatePdfPage(currentChunk, docChunkIndex)
const pdfMapping = selectedRegulation ? RAG_PDF_MAPPING[selectedRegulation] : null
const pdfUrl = pdfMapping ? `/rag-originals/${pdfMapping.filename}#page=${pdfPage}` : null
// Overlap extraction
const getOverlapPrev = (): string => {
if (!prevChunk) return ''
const text = getChunkText(prevChunk)
return text.length > 150 ? '...' + text.slice(-150) : text
}
const getOverlapNext = (): string => {
if (!nextChunk) return ''
const text = getChunkText(nextChunk)
return text.length > 150 ? text.slice(0, 150) + '...' : text
}
if (!selectedRegulation) {
return (
<div className="flex-1 flex items-center justify-center bg-white rounded-xl border border-slate-200">
<div className="text-center text-slate-400 space-y-2">
<div className="text-4xl">&#128269;</div>
<p className="text-sm">Dokument in der Sidebar auswaehlen, um QA zu starten.</p>
<p className="text-xs text-slate-300">Pfeiltasten: Chunk vor/zurueck</p>
</div>
</div>
)
}
if (docLoading) {
return (
<div className="flex-1 flex items-center justify-center bg-white rounded-xl border border-slate-200">
<div className="text-center text-slate-500 space-y-2">
<div className="animate-spin text-3xl">&#9881;</div>
<p className="text-sm">Chunks werden geladen...</p>
<p className="text-xs text-slate-400">
{selectedRegulation}: {REGULATIONS_IN_RAG[selectedRegulation]?.chunks.toLocaleString() || '?'} Chunks erwartet
</p>
</div>
</div>
)
}
return (
<div className={`flex-1 grid gap-3 min-h-0 ${splitViewActive ? 'grid-cols-2' : 'grid-cols-1'}`}>
{/* Chunk-Text Panel */}
<div className="bg-white rounded-xl border border-slate-200 flex flex-col min-h-0 overflow-hidden">
<div className="flex-shrink-0 px-4 py-2 bg-slate-50 border-b border-slate-100 flex items-center justify-between">
<span className="text-sm font-medium text-slate-700">Chunk-Text</span>
<div className="flex items-center gap-2">
{structInfo.article && (
<span className="px-2 py-0.5 bg-blue-50 text-blue-700 text-xs font-medium rounded border border-blue-200">
{structInfo.article}
</span>
)}
{structInfo.section && (
<span className="px-2 py-0.5 bg-purple-50 text-purple-700 text-xs rounded border border-purple-200">
{structInfo.section}
</span>
)}
<span className="text-xs text-slate-400 tabular-nums">
#{docChunkIndex} / {docTotalChunks - 1}
</span>
</div>
</div>
<div className="flex-1 overflow-y-auto min-h-0 p-4 space-y-3">
{/* Overlap from previous chunk */}
{prevChunk && (
<div className="text-xs text-slate-400 bg-amber-50 border-l-2 border-amber-300 px-3 py-2 rounded-r">
<div className="font-medium text-amber-600 mb-1">&#8593; Ende vorheriger Chunk #{docChunkIndex - 1}</div>
<p className="whitespace-pre-wrap break-words leading-relaxed">{getOverlapPrev()}</p>
</div>
)}
{/* Current chunk text */}
{currentChunk ? (
<div className="text-sm text-slate-800 whitespace-pre-wrap break-words leading-relaxed border-l-2 border-teal-400 pl-3">
{getChunkText(currentChunk)}
</div>
) : (
<div className="text-sm text-slate-400 italic">Kein Chunk-Text vorhanden.</div>
)}
{/* Overlap from next chunk */}
{nextChunk && (
<div className="text-xs text-slate-400 bg-amber-50 border-l-2 border-amber-300 px-3 py-2 rounded-r">
<div className="font-medium text-amber-600 mb-1">&#8595; Anfang naechster Chunk #{docChunkIndex + 1}</div>
<p className="whitespace-pre-wrap break-words leading-relaxed">{getOverlapNext()}</p>
</div>
)}
{/* Metadata */}
{currentChunk && (
<div className="mt-4 pt-3 border-t border-slate-100">
<div className="text-xs font-medium text-slate-500 mb-2">Metadaten</div>
<div className="grid grid-cols-2 gap-x-4 gap-y-1 text-xs">
{Object.entries(currentChunk)
.filter(([k]) => !HIDDEN_KEYS.has(k))
.sort(([a], [b]) => {
const aStruct = STRUCTURAL_KEYS.has(a) ? 0 : 1
const bStruct = STRUCTURAL_KEYS.has(b) ? 0 : 1
return aStruct - bStruct || a.localeCompare(b)
})
.map(([k, v]) => (
<div key={k} className={`flex gap-1 ${STRUCTURAL_KEYS.has(k) ? 'col-span-2 font-medium' : ''}`}>
<span className="font-medium text-slate-500 flex-shrink-0">{k}:</span>
<span className="text-slate-700 break-all">
{Array.isArray(v) ? v.join(', ') : String(v)}
</span>
</div>
))}
</div>
<div className="mt-3 pt-2 border-t border-slate-50">
<div className="text-xs text-slate-400">
Chunk-Laenge: {getChunkText(currentChunk).length} Zeichen
{getChunkText(currentChunk).length < 50 && (
<span className="ml-2 text-orange-500 font-medium">&#9888; Sehr kurz</span>
)}
{getChunkText(currentChunk).length > 2000 && (
<span className="ml-2 text-orange-500 font-medium">&#9888; Sehr lang</span>
)}
</div>
</div>
</div>
)}
</div>
</div>
{/* PDF-Viewer Panel */}
{splitViewActive && (
<div className="bg-white rounded-xl border border-slate-200 flex flex-col min-h-0 overflow-hidden">
<div className="flex-shrink-0 px-4 py-2 bg-slate-50 border-b border-slate-100 flex items-center justify-between">
<span className="text-sm font-medium text-slate-700">Original-PDF</span>
<div className="flex items-center gap-2">
<span className="text-xs text-slate-400">
Seite ~{pdfPage}
{pdfMapping?.totalPages ? ` / ${pdfMapping.totalPages}` : ''}
</span>
{pdfUrl && (
<a
href={pdfUrl.split('#')[0]}
target="_blank"
rel="noopener noreferrer"
className="text-xs text-teal-600 hover:text-teal-800 underline"
>
Oeffnen &#8599;
</a>
)}
</div>
</div>
<div className="flex-1 min-h-0 relative">
{pdfUrl && pdfExists ? (
<iframe
key={`${selectedRegulation}-${pdfPage}`}
src={pdfUrl}
className="absolute inset-0 w-full h-full border-0"
title="Original PDF"
/>
) : (
<div className="flex items-center justify-center h-full text-slate-400 text-sm p-4">
<div className="text-center space-y-2">
<div className="text-3xl">&#128196;</div>
{!pdfMapping ? (
<>
<p>Kein PDF-Mapping fuer {selectedRegulation}.</p>
<p className="text-xs">rag-pdf-mapping.ts ergaenzen.</p>
</>
) : pdfExists === false ? (
<>
<p className="font-medium text-orange-600">PDF nicht vorhanden</p>
<p className="text-xs">Datei <code className="bg-slate-100 px-1 rounded">{pdfMapping.filename}</code> fehlt in ~/rag-originals/</p>
<p className="text-xs mt-1">Bitte manuell herunterladen und dort ablegen.</p>
</>
) : (
<p>PDF wird geprueft...</p>
)}
</div>
</div>
)}
</div>
</div>
)}
</div>
)
}

View File

@@ -0,0 +1,39 @@
/**
* Helper functions for ChunkBrowserQA component.
*/
import { REGULATION_INFO } from '../rag-constants'
/** Get text content from a chunk */
export function getChunkText(chunk: Record<string, unknown> | null): string {
if (!chunk) return ''
return String(chunk.chunk_text || chunk.text || chunk.content || '')
}
/** Extract structural metadata for prominent display */
export function getStructuralInfo(
chunk: Record<string, unknown> | null
): { article?: string; section?: string; pages?: string } {
if (!chunk) return {}
const result: { article?: string; section?: string; pages?: string } = {}
// Article / paragraph
const article = chunk.article || chunk.artikel || chunk.paragraph || chunk.section_title
if (article) result.article = String(article)
// Section
const section = chunk.section || chunk.chapter || chunk.abschnitt || chunk.kapitel
if (section) result.section = String(section)
// Pages
const pages = chunk.pages as number[] | undefined
if (Array.isArray(pages) && pages.length > 0) {
result.pages = pages.length === 1 ? `S. ${pages[0]}` : `S. ${pages[0]}-${pages[pages.length - 1]}`
} else if (chunk.page) {
result.pages = `S. ${chunk.page}`
}
return result
}
/** Regulation name lookup */
export function getRegName(code: string): string {
const reg = REGULATION_INFO.find(r => r.code === code)
return reg?.name || code
}

View File

@@ -1,39 +1,18 @@
'use client'
import React, { useState, useEffect, useCallback, useRef } from 'react'
import React, { useState, useEffect, useCallback, useRef, useMemo } from 'react'
import { RAG_PDF_MAPPING } from './rag-pdf-mapping'
import { REGULATIONS_IN_RAG, REGULATION_INFO } from '../rag-constants'
import { RegGroupKey } from './ChunkBrowserConstants'
import { getStructuralInfo } from './ChunkBrowserHelpers'
import { ChunkBrowserSidebar } from './ChunkBrowserSidebar'
import { ChunkBrowserToolbar } from './ChunkBrowserToolbar'
import { ChunkBrowserContent } from './ChunkBrowserContent'
interface ChunkBrowserQAProps {
apiProxy: string
}
type RegGroupKey = 'eu_regulation' | 'eu_directive' | 'de_law' | 'at_law' | 'ch_law' | 'national_law' | 'bsi_standard' | 'eu_guideline' | 'international_standard' | 'other'
const GROUP_LABELS: Record<RegGroupKey, string> = {
eu_regulation: 'EU Verordnungen',
eu_directive: 'EU Richtlinien',
de_law: 'DE Gesetze',
at_law: 'AT Gesetze',
ch_law: 'CH Gesetze',
national_law: 'Nationale Gesetze (EU)',
bsi_standard: 'BSI Standards',
eu_guideline: 'EDPB / Guidelines',
international_standard: 'Internationale Standards',
other: 'Sonstige',
}
const GROUP_ORDER: RegGroupKey[] = [
'eu_regulation', 'eu_directive', 'de_law', 'at_law', 'ch_law',
'national_law', 'bsi_standard', 'eu_guideline', 'international_standard', 'other',
]
const COLLECTIONS = [
'bp_compliance_gesetze',
'bp_compliance_ce',
'bp_compliance_datenschutz',
]
export function ChunkBrowserQA({ apiProxy }: ChunkBrowserQAProps) {
// Filter-Sidebar
const [selectedRegulation, setSelectedRegulation] = useState<string | null>(null)
@@ -54,7 +33,7 @@ export function ChunkBrowserQA({ apiProxy }: ChunkBrowserQAProps) {
const [chunksPerPage, setChunksPerPage] = useState(6)
const [fullscreen, setFullscreen] = useState(false)
// Collection — default to bp_compliance_ce where we have PDFs downloaded
// Collection
const [collection, setCollection] = useState('bp_compliance_ce')
// PDF existence check
@@ -68,7 +47,7 @@ export function ChunkBrowserQA({ apiProxy }: ChunkBrowserQAProps) {
.filter(([, info]) => info.collection === collection)
.map(([code]) => code)
const groupedRegulations = React.useMemo(() => {
const groupedRegulations = useMemo(() => {
const groups: Record<RegGroupKey, { code: string; name: string; type: string }[]> = {
eu_regulation: [], eu_directive: [], de_law: [], at_law: [], ch_law: [],
national_law: [], bsi_standard: [], eu_guideline: [], international_standard: [], other: [],
@@ -77,11 +56,7 @@ export function ChunkBrowserQA({ apiProxy }: ChunkBrowserQAProps) {
const reg = REGULATION_INFO.find(r => r.code === code)
const type = (reg?.type || 'other') as RegGroupKey
const groupKey = type in groups ? type : 'other'
groups[groupKey].push({
code,
name: reg?.name || code,
type: reg?.type || 'unknown',
})
groups[groupKey].push({ code, name: reg?.name || code, type: reg?.type || 'unknown' })
}
return groups
}, [regulationsInCollection.join(',')])
@@ -92,7 +67,6 @@ export function ChunkBrowserQA({ apiProxy }: ChunkBrowserQAProps) {
.filter(([, info]) => info.collection === col && info.qdrant_id)
if (entries.length === 0) return
// Build qdrant_id -> our_code mapping
const qdrantIdToCode: Record<string, string[]> = {}
for (const [code, info] of entries) {
if (!qdrantIdToCode[info.qdrant_id]) qdrantIdToCode[info.qdrant_id] = []
@@ -110,13 +84,10 @@ export function ChunkBrowserQA({ apiProxy }: ChunkBrowserQAProps) {
const res = await fetch(`${apiProxy}?${params}`)
if (res.ok) {
const data = await res.json()
// Map qdrant_id counts back to our codes
const mapped: Record<string, number> = {}
for (const [qid, count] of Object.entries(data.counts as Record<string, number>)) {
const codes = qdrantIdToCode[qid] || []
for (const code of codes) {
mapped[code] = count
}
for (const code of codes) { mapped[code] = count }
}
setRegulationCounts(prev => ({ ...prev, ...mapped }))
}
@@ -162,7 +133,6 @@ export function ChunkBrowserQA({ apiProxy }: ChunkBrowserQAProps) {
safety++
} while (offset && safety < 200)
// Sort by chunk_index
allChunks.sort((a, b) => {
const ai = Number(a.chunk_index ?? a.chunk_id ?? 0)
const bi = Number(b.chunk_index ?? b.chunk_id ?? 0)
@@ -184,30 +154,6 @@ export function ChunkBrowserQA({ apiProxy }: ChunkBrowserQAProps) {
loadRegulationCounts(collection)
}, [collection, loadRegulationCounts])
// Current chunk
const currentChunk = docChunks[docChunkIndex] || null
const prevChunk = docChunkIndex > 0 ? docChunks[docChunkIndex - 1] : null
const nextChunk = docChunkIndex < docChunks.length - 1 ? docChunks[docChunkIndex + 1] : null
// PDF page estimation — use pages metadata if available
const estimatePdfPage = (chunk: Record<string, unknown> | null, chunkIdx: number): number => {
if (chunk) {
// Try pages array from payload (e.g. [7] or [7,8])
const pages = chunk.pages as number[] | undefined
if (Array.isArray(pages) && pages.length > 0) return pages[0]
// Try page field
const page = chunk.page as number | undefined
if (typeof page === 'number' && page > 0) return page
}
const mapping = selectedRegulation ? RAG_PDF_MAPPING[selectedRegulation] : null
const cpp = mapping?.chunksPerPage || chunksPerPage
return Math.floor(chunkIdx / cpp) + 1
}
const pdfPage = estimatePdfPage(currentChunk, docChunkIndex)
const pdfMapping = selectedRegulation ? RAG_PDF_MAPPING[selectedRegulation] : null
const pdfUrl = pdfMapping ? `/rag-originals/${pdfMapping.filename}#page=${pdfPage}` : null
// Check PDF existence when regulation changes
useEffect(() => {
if (!selectedRegulation) { setPdfExists(null); return }
@@ -219,29 +165,7 @@ export function ChunkBrowserQA({ apiProxy }: ChunkBrowserQAProps) {
.catch(() => setPdfExists(false))
}, [selectedRegulation])
// Handlers
const handleSelectRegulation = (code: string) => {
setSelectedRegulation(code)
loadDocumentChunks(code)
}
const handleCollectionChange = (col: string) => {
setCollection(col)
setSelectedRegulation(null)
setDocChunks([])
setDocChunkIndex(0)
setDocTotalChunks(0)
setRegulationCounts({})
}
const handlePrev = () => {
if (docChunkIndex > 0) setDocChunkIndex(i => i - 1)
}
const handleNext = () => {
if (docChunkIndex < docChunks.length - 1) setDocChunkIndex(i => i + 1)
}
// Keyboard navigation
const handleKeyDown = useCallback((e: KeyboardEvent) => {
if (e.key === 'Escape' && fullscreen) {
e.preventDefault()
@@ -262,6 +186,21 @@ export function ChunkBrowserQA({ apiProxy }: ChunkBrowserQAProps) {
}
}, [selectedRegulation, docChunks.length, handleKeyDown, fullscreen])
// Handlers
const handleSelectRegulation = (code: string) => {
setSelectedRegulation(code)
loadDocumentChunks(code)
}
const handleCollectionChange = (col: string) => {
setCollection(col)
setSelectedRegulation(null)
setDocChunks([])
setDocChunkIndex(0)
setDocTotalChunks(0)
setRegulationCounts({})
}
const toggleGroup = (group: string) => {
setCollapsedGroups(prev => {
const next = new Set(prev)
@@ -271,47 +210,8 @@ export function ChunkBrowserQA({ apiProxy }: ChunkBrowserQAProps) {
})
}
// Get text content from a chunk
const getChunkText = (chunk: Record<string, unknown> | null): string => {
if (!chunk) return ''
return String(chunk.chunk_text || chunk.text || chunk.content || '')
}
// Extract structural metadata for prominent display
const getStructuralInfo = (chunk: Record<string, unknown> | null): { article?: string; section?: string; pages?: string } => {
if (!chunk) return {}
const result: { article?: string; section?: string; pages?: string } = {}
// Article / paragraph
const article = chunk.article || chunk.artikel || chunk.paragraph || chunk.section_title
if (article) result.article = String(article)
// Section
const section = chunk.section || chunk.chapter || chunk.abschnitt || chunk.kapitel
if (section) result.section = String(section)
// Pages
const pages = chunk.pages as number[] | undefined
if (Array.isArray(pages) && pages.length > 0) {
result.pages = pages.length === 1 ? `S. ${pages[0]}` : `S. ${pages[0]}-${pages[pages.length - 1]}`
} else if (chunk.page) {
result.pages = `S. ${chunk.page}`
}
return result
}
// Overlap extraction
const getOverlapPrev = (): string => {
if (!prevChunk) return ''
const text = getChunkText(prevChunk)
return text.length > 150 ? '...' + text.slice(-150) : text
}
const getOverlapNext = (): string => {
if (!nextChunk) return ''
const text = getChunkText(nextChunk)
return text.length > 150 ? text.slice(0, 150) + '...' : text
}
// Filter sidebar items
const filteredRegulations = React.useMemo(() => {
const filteredRegulations = useMemo(() => {
if (!filterSearch.trim()) return groupedRegulations
const term = filterSearch.toLowerCase()
const filtered: typeof groupedRegulations = {
@@ -326,21 +226,7 @@ export function ChunkBrowserQA({ apiProxy }: ChunkBrowserQAProps) {
return filtered
}, [groupedRegulations, filterSearch])
// Regulation name lookup
const getRegName = (code: string): string => {
const reg = REGULATION_INFO.find(r => r.code === code)
return reg?.name || code
}
// Important metadata keys to show prominently
const STRUCTURAL_KEYS = new Set([
'article', 'artikel', 'paragraph', 'section_title', 'section', 'chapter',
'abschnitt', 'kapitel', 'pages', 'page',
])
const HIDDEN_KEYS = new Set([
'text', 'content', 'chunk_text', 'id', 'embedding',
])
const currentChunk = docChunks[docChunkIndex] || null
const structInfo = getStructuralInfo(currentChunk)
return (
@@ -348,323 +234,48 @@ export function ChunkBrowserQA({ apiProxy }: ChunkBrowserQAProps) {
className={`flex flex-col ${fullscreen ? 'fixed inset-0 z-50 bg-slate-100 p-4' : ''}`}
style={fullscreen ? { height: '100vh' } : { height: 'calc(100vh - 220px)' }}
>
{/* Header bar — fixed height */}
<div className="flex-shrink-0 bg-white rounded-xl border border-slate-200 p-3 mb-3">
<div className="flex flex-wrap items-center gap-4">
<div>
<label className="block text-xs font-medium text-slate-500 mb-1">Collection</label>
<select
value={collection}
onChange={(e) => handleCollectionChange(e.target.value)}
className="px-3 py-1.5 border rounded-lg text-sm focus:ring-2 focus:ring-teal-500"
>
{COLLECTIONS.map(c => (
<option key={c} value={c}>{c}</option>
))}
</select>
</div>
<ChunkBrowserToolbar
collection={collection}
onCollectionChange={handleCollectionChange}
selectedRegulation={selectedRegulation}
structInfo={structInfo}
docChunkIndex={docChunkIndex}
docTotalChunks={docTotalChunks}
docChunksLength={docChunks.length}
chunksPerPage={chunksPerPage}
setChunksPerPage={setChunksPerPage}
splitViewActive={splitViewActive}
setSplitViewActive={setSplitViewActive}
fullscreen={fullscreen}
setFullscreen={setFullscreen}
onPrev={() => { if (docChunkIndex > 0) setDocChunkIndex(i => i - 1) }}
onNext={() => { if (docChunkIndex < docChunks.length - 1) setDocChunkIndex(i => i + 1) }}
onJumpTo={setDocChunkIndex}
/>
{selectedRegulation && (
<>
<div className="flex items-center gap-2">
<span className="text-sm font-semibold text-slate-900">
{selectedRegulation} {getRegName(selectedRegulation)}
</span>
{structInfo.article && (
<span className="px-2 py-0.5 bg-blue-100 text-blue-800 text-xs font-medium rounded">
{structInfo.article}
</span>
)}
{structInfo.pages && (
<span className="px-2 py-0.5 bg-slate-100 text-slate-600 text-xs rounded">
{structInfo.pages}
</span>
)}
</div>
<div className="flex items-center gap-2 ml-auto">
<button
onClick={handlePrev}
disabled={docChunkIndex === 0}
className="px-3 py-1.5 text-sm font-medium border rounded-lg bg-white hover:bg-slate-50 disabled:opacity-30 disabled:cursor-not-allowed"
>
&#9664; Zurueck
</button>
<span className="text-sm font-mono text-slate-600 min-w-[80px] text-center">
{docChunkIndex + 1} / {docTotalChunks}
</span>
<button
onClick={handleNext}
disabled={docChunkIndex >= docChunks.length - 1}
className="px-3 py-1.5 text-sm font-medium border rounded-lg bg-white hover:bg-slate-50 disabled:opacity-30 disabled:cursor-not-allowed"
>
Weiter &#9654;
</button>
<input
type="number"
min={1}
max={docTotalChunks}
value={docChunkIndex + 1}
onChange={(e) => {
const v = parseInt(e.target.value, 10)
if (!isNaN(v) && v >= 1 && v <= docTotalChunks) setDocChunkIndex(v - 1)
}}
className="w-16 px-2 py-1 border rounded text-xs text-center"
title="Springe zu Chunk Nr."
/>
</div>
<div className="flex items-center gap-2">
<label className="text-xs text-slate-500">Chunks/Seite:</label>
<select
value={chunksPerPage}
onChange={(e) => setChunksPerPage(Number(e.target.value))}
className="px-2 py-1 border rounded text-xs"
>
{[3, 4, 5, 6, 8, 10, 12, 15, 20].map(n => (
<option key={n} value={n}>{n}</option>
))}
</select>
<button
onClick={() => setSplitViewActive(!splitViewActive)}
className={`px-3 py-1 text-xs rounded-lg border ${
splitViewActive ? 'bg-teal-50 border-teal-300 text-teal-700' : 'bg-slate-50 border-slate-300 text-slate-600'
}`}
>
{splitViewActive ? 'Split-View an' : 'Split-View aus'}
</button>
<button
onClick={() => setFullscreen(!fullscreen)}
className={`px-3 py-1 text-xs rounded-lg border ${
fullscreen ? 'bg-indigo-50 border-indigo-300 text-indigo-700' : 'bg-slate-50 border-slate-300 text-slate-600'
}`}
title={fullscreen ? 'Vollbild beenden (Esc)' : 'Vollbild'}
>
{fullscreen ? '&#10005; Vollbild beenden' : '&#9974; Vollbild'}
</button>
</div>
</>
)}
</div>
</div>
{/* Main content: Sidebar + Content — fills remaining height */}
<div className="flex gap-3 flex-1 min-h-0">
{/* Sidebar — scrollable */}
<div className="w-56 flex-shrink-0 bg-white rounded-xl border border-slate-200 flex flex-col min-h-0">
<div className="flex-shrink-0 p-3 border-b border-slate-100">
<input
type="text"
value={filterSearch}
onChange={(e) => setFilterSearch(e.target.value)}
placeholder="Suche..."
className="w-full px-2 py-1.5 border rounded-lg text-sm focus:ring-2 focus:ring-teal-500"
/>
{countsLoading && (
<div className="text-xs text-slate-400 mt-1 animate-pulse">Counts laden...</div>
)}
</div>
<div className="flex-1 overflow-y-auto min-h-0">
{GROUP_ORDER.map(group => {
const items = filteredRegulations[group]
if (items.length === 0) return null
const isCollapsed = collapsedGroups.has(group)
return (
<div key={group}>
<button
onClick={() => toggleGroup(group)}
className="w-full px-3 py-1.5 text-left text-xs font-semibold text-slate-500 bg-slate-50 hover:bg-slate-100 flex items-center justify-between sticky top-0 z-10"
>
<span>{GROUP_LABELS[group]}</span>
<span className="text-slate-400">{isCollapsed ? '+' : '-'}</span>
</button>
{!isCollapsed && items.map(reg => {
const count = regulationCounts[reg.code] ?? 0
const isSelected = selectedRegulation === reg.code
return (
<button
key={reg.code}
onClick={() => handleSelectRegulation(reg.code)}
className={`w-full px-3 py-1.5 text-left text-sm flex items-center justify-between hover:bg-teal-50 transition-colors ${
isSelected ? 'bg-teal-100 text-teal-900 font-medium' : 'text-slate-700'
}`}
>
<span className="truncate text-xs">{reg.name || reg.code}</span>
<span className={`text-xs tabular-nums flex-shrink-0 ml-1 ${count > 0 ? 'text-slate-500' : 'text-slate-300'}`}>
{count > 0 ? count.toLocaleString() : '—'}
</span>
</button>
)
})}
</div>
)
})}
</div>
</div>
<ChunkBrowserSidebar
filterSearch={filterSearch}
setFilterSearch={setFilterSearch}
countsLoading={countsLoading}
filteredRegulations={filteredRegulations}
regulationCounts={regulationCounts}
selectedRegulation={selectedRegulation}
collapsedGroups={collapsedGroups}
onSelectRegulation={handleSelectRegulation}
onToggleGroup={toggleGroup}
/>
{/* Content area — fills remaining width and height */}
{!selectedRegulation ? (
<div className="flex-1 flex items-center justify-center bg-white rounded-xl border border-slate-200">
<div className="text-center text-slate-400 space-y-2">
<div className="text-4xl">&#128269;</div>
<p className="text-sm">Dokument in der Sidebar auswaehlen, um QA zu starten.</p>
<p className="text-xs text-slate-300">Pfeiltasten: Chunk vor/zurueck</p>
</div>
</div>
) : docLoading ? (
<div className="flex-1 flex items-center justify-center bg-white rounded-xl border border-slate-200">
<div className="text-center text-slate-500 space-y-2">
<div className="animate-spin text-3xl">&#9881;</div>
<p className="text-sm">Chunks werden geladen...</p>
<p className="text-xs text-slate-400">
{selectedRegulation}: {REGULATIONS_IN_RAG[selectedRegulation]?.chunks.toLocaleString() || '?'} Chunks erwartet
</p>
</div>
</div>
) : (
<div className={`flex-1 grid gap-3 min-h-0 ${splitViewActive ? 'grid-cols-2' : 'grid-cols-1'}`}>
{/* Chunk-Text Panel — fixed height, internal scroll */}
<div className="bg-white rounded-xl border border-slate-200 flex flex-col min-h-0 overflow-hidden">
{/* Panel header */}
<div className="flex-shrink-0 px-4 py-2 bg-slate-50 border-b border-slate-100 flex items-center justify-between">
<span className="text-sm font-medium text-slate-700">Chunk-Text</span>
<div className="flex items-center gap-2">
{structInfo.article && (
<span className="px-2 py-0.5 bg-blue-50 text-blue-700 text-xs font-medium rounded border border-blue-200">
{structInfo.article}
</span>
)}
{structInfo.section && (
<span className="px-2 py-0.5 bg-purple-50 text-purple-700 text-xs rounded border border-purple-200">
{structInfo.section}
</span>
)}
<span className="text-xs text-slate-400 tabular-nums">
#{docChunkIndex} / {docTotalChunks - 1}
</span>
</div>
</div>
{/* Scrollable content */}
<div className="flex-1 overflow-y-auto min-h-0 p-4 space-y-3">
{/* Overlap from previous chunk */}
{prevChunk && (
<div className="text-xs text-slate-400 bg-amber-50 border-l-2 border-amber-300 px-3 py-2 rounded-r">
<div className="font-medium text-amber-600 mb-1">&#8593; Ende vorheriger Chunk #{docChunkIndex - 1}</div>
<p className="whitespace-pre-wrap break-words leading-relaxed">{getOverlapPrev()}</p>
</div>
)}
{/* Current chunk text */}
{currentChunk ? (
<div className="text-sm text-slate-800 whitespace-pre-wrap break-words leading-relaxed border-l-2 border-teal-400 pl-3">
{getChunkText(currentChunk)}
</div>
) : (
<div className="text-sm text-slate-400 italic">Kein Chunk-Text vorhanden.</div>
)}
{/* Overlap from next chunk */}
{nextChunk && (
<div className="text-xs text-slate-400 bg-amber-50 border-l-2 border-amber-300 px-3 py-2 rounded-r">
<div className="font-medium text-amber-600 mb-1">&#8595; Anfang naechster Chunk #{docChunkIndex + 1}</div>
<p className="whitespace-pre-wrap break-words leading-relaxed">{getOverlapNext()}</p>
</div>
)}
{/* Metadata */}
{currentChunk && (
<div className="mt-4 pt-3 border-t border-slate-100">
<div className="text-xs font-medium text-slate-500 mb-2">Metadaten</div>
<div className="grid grid-cols-2 gap-x-4 gap-y-1 text-xs">
{Object.entries(currentChunk)
.filter(([k]) => !HIDDEN_KEYS.has(k))
.sort(([a], [b]) => {
// Structural keys first
const aStruct = STRUCTURAL_KEYS.has(a) ? 0 : 1
const bStruct = STRUCTURAL_KEYS.has(b) ? 0 : 1
return aStruct - bStruct || a.localeCompare(b)
})
.map(([k, v]) => (
<div key={k} className={`flex gap-1 ${STRUCTURAL_KEYS.has(k) ? 'col-span-2 font-medium' : ''}`}>
<span className="font-medium text-slate-500 flex-shrink-0">{k}:</span>
<span className="text-slate-700 break-all">
{Array.isArray(v) ? v.join(', ') : String(v)}
</span>
</div>
))}
</div>
{/* Chunk quality indicator */}
<div className="mt-3 pt-2 border-t border-slate-50">
<div className="text-xs text-slate-400">
Chunk-Laenge: {getChunkText(currentChunk).length} Zeichen
{getChunkText(currentChunk).length < 50 && (
<span className="ml-2 text-orange-500 font-medium">&#9888; Sehr kurz</span>
)}
{getChunkText(currentChunk).length > 2000 && (
<span className="ml-2 text-orange-500 font-medium">&#9888; Sehr lang</span>
)}
</div>
</div>
</div>
)}
</div>
</div>
{/* PDF-Viewer Panel */}
{splitViewActive && (
<div className="bg-white rounded-xl border border-slate-200 flex flex-col min-h-0 overflow-hidden">
<div className="flex-shrink-0 px-4 py-2 bg-slate-50 border-b border-slate-100 flex items-center justify-between">
<span className="text-sm font-medium text-slate-700">Original-PDF</span>
<div className="flex items-center gap-2">
<span className="text-xs text-slate-400">
Seite ~{pdfPage}
{pdfMapping?.totalPages ? ` / ${pdfMapping.totalPages}` : ''}
</span>
{pdfUrl && (
<a
href={pdfUrl.split('#')[0]}
target="_blank"
rel="noopener noreferrer"
className="text-xs text-teal-600 hover:text-teal-800 underline"
>
Oeffnen &#8599;
</a>
)}
</div>
</div>
<div className="flex-1 min-h-0 relative">
{pdfUrl && pdfExists ? (
<iframe
key={`${selectedRegulation}-${pdfPage}`}
src={pdfUrl}
className="absolute inset-0 w-full h-full border-0"
title="Original PDF"
/>
) : (
<div className="flex items-center justify-center h-full text-slate-400 text-sm p-4">
<div className="text-center space-y-2">
<div className="text-3xl">&#128196;</div>
{!pdfMapping ? (
<>
<p>Kein PDF-Mapping fuer {selectedRegulation}.</p>
<p className="text-xs">rag-pdf-mapping.ts ergaenzen.</p>
</>
) : pdfExists === false ? (
<>
<p className="font-medium text-orange-600">PDF nicht vorhanden</p>
<p className="text-xs">Datei <code className="bg-slate-100 px-1 rounded">{pdfMapping.filename}</code> fehlt in ~/rag-originals/</p>
<p className="text-xs mt-1">Bitte manuell herunterladen und dort ablegen.</p>
</>
) : (
<p>PDF wird geprueft...</p>
)}
</div>
</div>
)}
</div>
</div>
)}
</div>
)}
<ChunkBrowserContent
selectedRegulation={selectedRegulation}
docLoading={docLoading}
docChunks={docChunks}
docChunkIndex={docChunkIndex}
docTotalChunks={docTotalChunks}
splitViewActive={splitViewActive}
chunksPerPage={chunksPerPage}
pdfExists={pdfExists}
/>
</div>
</div>
)

View File

@@ -0,0 +1,81 @@
'use client'
import React from 'react'
import { RegGroupKey, GROUP_LABELS, GROUP_ORDER } from './ChunkBrowserConstants'
interface ChunkBrowserSidebarProps {
filterSearch: string
setFilterSearch: (v: string) => void
countsLoading: boolean
filteredRegulations: Record<RegGroupKey, { code: string; name: string; type: string }[]>
regulationCounts: Record<string, number>
selectedRegulation: string | null
collapsedGroups: Set<string>
onSelectRegulation: (code: string) => void
onToggleGroup: (group: string) => void
}
export function ChunkBrowserSidebar({
filterSearch,
setFilterSearch,
countsLoading,
filteredRegulations,
regulationCounts,
selectedRegulation,
collapsedGroups,
onSelectRegulation,
onToggleGroup,
}: ChunkBrowserSidebarProps) {
return (
<div className="w-56 flex-shrink-0 bg-white rounded-xl border border-slate-200 flex flex-col min-h-0">
<div className="flex-shrink-0 p-3 border-b border-slate-100">
<input
type="text"
value={filterSearch}
onChange={(e) => setFilterSearch(e.target.value)}
placeholder="Suche..."
className="w-full px-2 py-1.5 border rounded-lg text-sm focus:ring-2 focus:ring-teal-500"
/>
{countsLoading && (
<div className="text-xs text-slate-400 mt-1 animate-pulse">Counts laden...</div>
)}
</div>
<div className="flex-1 overflow-y-auto min-h-0">
{GROUP_ORDER.map(group => {
const items = filteredRegulations[group]
if (items.length === 0) return null
const isCollapsed = collapsedGroups.has(group)
return (
<div key={group}>
<button
onClick={() => onToggleGroup(group)}
className="w-full px-3 py-1.5 text-left text-xs font-semibold text-slate-500 bg-slate-50 hover:bg-slate-100 flex items-center justify-between sticky top-0 z-10"
>
<span>{GROUP_LABELS[group]}</span>
<span className="text-slate-400">{isCollapsed ? '+' : '-'}</span>
</button>
{!isCollapsed && items.map(reg => {
const count = regulationCounts[reg.code] ?? 0
const isSelected = selectedRegulation === reg.code
return (
<button
key={reg.code}
onClick={() => onSelectRegulation(reg.code)}
className={`w-full px-3 py-1.5 text-left text-sm flex items-center justify-between hover:bg-teal-50 transition-colors ${
isSelected ? 'bg-teal-100 text-teal-900 font-medium' : 'text-slate-700'
}`}
>
<span className="truncate text-xs">{reg.name || reg.code}</span>
<span className={`text-xs tabular-nums flex-shrink-0 ml-1 ${count > 0 ? 'text-slate-500' : 'text-slate-300'}`}>
{count > 0 ? count.toLocaleString() : '\u2014'}
</span>
</button>
)
})}
</div>
)
})}
</div>
</div>
)
}

View File

@@ -0,0 +1,142 @@
'use client'
import React from 'react'
import { COLLECTIONS } from './ChunkBrowserConstants'
import { getRegName } from './ChunkBrowserHelpers'
interface ChunkBrowserToolbarProps {
collection: string
onCollectionChange: (col: string) => void
selectedRegulation: string | null
structInfo: { article?: string; section?: string; pages?: string }
docChunkIndex: number
docTotalChunks: number
docChunksLength: number
chunksPerPage: number
setChunksPerPage: (v: number) => void
splitViewActive: boolean
setSplitViewActive: (v: boolean) => void
fullscreen: boolean
setFullscreen: (v: boolean) => void
onPrev: () => void
onNext: () => void
onJumpTo: (idx: number) => void
}
export function ChunkBrowserToolbar({
collection,
onCollectionChange,
selectedRegulation,
structInfo,
docChunkIndex,
docTotalChunks,
docChunksLength,
chunksPerPage,
setChunksPerPage,
splitViewActive,
setSplitViewActive,
fullscreen,
setFullscreen,
onPrev,
onNext,
onJumpTo,
}: ChunkBrowserToolbarProps) {
return (
<div className="flex-shrink-0 bg-white rounded-xl border border-slate-200 p-3 mb-3">
<div className="flex flex-wrap items-center gap-4">
<div>
<label className="block text-xs font-medium text-slate-500 mb-1">Collection</label>
<select
value={collection}
onChange={(e) => onCollectionChange(e.target.value)}
className="px-3 py-1.5 border rounded-lg text-sm focus:ring-2 focus:ring-teal-500"
>
{COLLECTIONS.map(c => (
<option key={c} value={c}>{c}</option>
))}
</select>
</div>
{selectedRegulation && (
<>
<div className="flex items-center gap-2">
<span className="text-sm font-semibold text-slate-900">
{selectedRegulation} &mdash; {getRegName(selectedRegulation)}
</span>
{structInfo.article && (
<span className="px-2 py-0.5 bg-blue-100 text-blue-800 text-xs font-medium rounded">
{structInfo.article}
</span>
)}
{structInfo.pages && (
<span className="px-2 py-0.5 bg-slate-100 text-slate-600 text-xs rounded">
{structInfo.pages}
</span>
)}
</div>
<div className="flex items-center gap-2 ml-auto">
<button
onClick={onPrev}
disabled={docChunkIndex === 0}
className="px-3 py-1.5 text-sm font-medium border rounded-lg bg-white hover:bg-slate-50 disabled:opacity-30 disabled:cursor-not-allowed"
>
&#9664; Zurueck
</button>
<span className="text-sm font-mono text-slate-600 min-w-[80px] text-center">
{docChunkIndex + 1} / {docTotalChunks}
</span>
<button
onClick={onNext}
disabled={docChunkIndex >= docChunksLength - 1}
className="px-3 py-1.5 text-sm font-medium border rounded-lg bg-white hover:bg-slate-50 disabled:opacity-30 disabled:cursor-not-allowed"
>
Weiter &#9654;
</button>
<input
type="number"
min={1}
max={docTotalChunks}
value={docChunkIndex + 1}
onChange={(e) => {
const v = parseInt(e.target.value, 10)
if (!isNaN(v) && v >= 1 && v <= docTotalChunks) onJumpTo(v - 1)
}}
className="w-16 px-2 py-1 border rounded text-xs text-center"
title="Springe zu Chunk Nr."
/>
</div>
<div className="flex items-center gap-2">
<label className="text-xs text-slate-500">Chunks/Seite:</label>
<select
value={chunksPerPage}
onChange={(e) => setChunksPerPage(Number(e.target.value))}
className="px-2 py-1 border rounded text-xs"
>
{[3, 4, 5, 6, 8, 10, 12, 15, 20].map(n => (
<option key={n} value={n}>{n}</option>
))}
</select>
<button
onClick={() => setSplitViewActive(!splitViewActive)}
className={`px-3 py-1 text-xs rounded-lg border ${
splitViewActive ? 'bg-teal-50 border-teal-300 text-teal-700' : 'bg-slate-50 border-slate-300 text-slate-600'
}`}
>
{splitViewActive ? 'Split-View an' : 'Split-View aus'}
</button>
<button
onClick={() => setFullscreen(!fullscreen)}
className={`px-3 py-1 text-xs rounded-lg border ${
fullscreen ? 'bg-indigo-50 border-indigo-300 text-indigo-700' : 'bg-slate-50 border-slate-300 text-slate-600'
}`}
title={fullscreen ? 'Vollbild beenden (Esc)' : 'Vollbild'}
>
{fullscreen ? '\u2715 Vollbild beenden' : '\u2716 Vollbild'}
</button>
</div>
</>
)}
</div>
</div>
)
}

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@@ -26,6 +26,13 @@ export const REGULATIONS_IN_RAG: Record<string, RagRegulationEntry> = {
E_COMMERCE_RL: { collection: 'bp_compliance_ce', chunks: 197, qdrant_id: 'eu_2000_31' },
VERBRAUCHERRECHTE_RL: { collection: 'bp_compliance_ce', chunks: 266, qdrant_id: 'eu_2011_83' },
DIGITALE_INHALTE_RL: { collection: 'bp_compliance_ce', chunks: 321, qdrant_id: 'eu_2019_770' },
// Verbraucherschutz EU-Richtlinien (Phase H2 Ingestion)
WARENKAUF_RL: { collection: 'bp_compliance_ce', chunks: 0, qdrant_id: 'sgd' },
KLAUSEL_RL: { collection: 'bp_compliance_ce', chunks: 0, qdrant_id: 'uctd' },
UNLAUTERE_PRAKTIKEN_RL: { collection: 'bp_compliance_ce', chunks: 0, qdrant_id: 'ucpd' },
PREISANGABEN_RL: { collection: 'bp_compliance_ce', chunks: 0, qdrant_id: 'pid' },
OMNIBUS_RL: { collection: 'bp_compliance_ce', chunks: 0, qdrant_id: 'omn' },
BATTERIE_VO: { collection: 'bp_compliance_ce', chunks: 0, qdrant_id: 'battvo' },
DMA: { collection: 'bp_compliance_ce', chunks: 701, qdrant_id: 'eu_2022_1925' },
DPF: { collection: 'bp_compliance_ce', chunks: 2464, qdrant_id: 'dpf' },
EUCSA: { collection: 'bp_compliance_ce', chunks: 558, qdrant_id: 'eucsa' },
@@ -68,6 +75,24 @@ export const REGULATIONS_IN_RAG: Record<string, RagRegulationEntry> = {
DE_USTG_RET: { collection: 'bp_compliance_gesetze', chunks: 1071, qdrant_id: 'de_ustg_ret' },
DE_URHG: { collection: 'bp_compliance_gesetze', chunks: 626, qdrant_id: 'urhg_komplett' },
// === DE Verbraucherschutz-Gesetze (bp_compliance_gesetze) — Phase H1 (Run #701) ===
DE_PANGV: { collection: 'bp_compliance_gesetze', chunks: 99, qdrant_id: 'pangv' },
DE_VSBG: { collection: 'bp_compliance_gesetze', chunks: 113, qdrant_id: 'vsbg' },
DE_PRODHAFTG: { collection: 'bp_compliance_gesetze', chunks: 26, qdrant_id: 'prodhaftg' },
DE_VERPACKG: { collection: 'bp_compliance_gesetze', chunks: 338, qdrant_id: 'verpackg' },
DE_ELEKTROG: { collection: 'bp_compliance_gesetze', chunks: 344, qdrant_id: 'elektrog' },
DE_BATTDG: { collection: 'bp_compliance_gesetze', chunks: 307, qdrant_id: 'battdg' },
DE_BFSG: { collection: 'bp_compliance_gesetze', chunks: 221, qdrant_id: 'bfsg' },
DE_UWG: { collection: 'bp_compliance_gesetze', chunks: 157, qdrant_id: 'uwg' },
DE_GEWO: { collection: 'bp_compliance_gesetze', chunks: 0, qdrant_id: 'gewo' }, // Pending: Re-run noetig (Timeout)
// BGB in Teilen (statt 2.7MB komplett)
DE_BGB_AGB_305: { collection: 'bp_compliance_gesetze', chunks: 0, qdrant_id: 'bgb_agb' }, // §§ 305-310
DE_BGB_FERNABSATZ: { collection: 'bp_compliance_gesetze', chunks: 0, qdrant_id: 'bgb_fernabsatz' }, // §§ 312-312k
DE_BGB_KAUFRECHT: { collection: 'bp_compliance_gesetze', chunks: 0, qdrant_id: 'bgb_kaufrecht' }, // §§ 433-480
DE_BGB_WIDERRUF: { collection: 'bp_compliance_gesetze', chunks: 0, qdrant_id: 'bgb_widerruf' }, // §§ 355-361
DE_BGB_DIGITAL: { collection: 'bp_compliance_gesetze', chunks: 0, qdrant_id: 'bgb_digital' }, // §§ 327-327u
DE_EGBGB_WIDERRUF: { collection: 'bp_compliance_gesetze', chunks: 0, qdrant_id: 'egbgb' }, // Muster-Widerrufsbelehrung
// === BSI Standards (bp_compliance_gesetze) ===
'BSI-TR-03161-1': { collection: 'bp_compliance_gesetze', chunks: 138, qdrant_id: 'bsi_tr_03161_1' },
'BSI-TR-03161-2': { collection: 'bp_compliance_gesetze', chunks: 124, qdrant_id: 'bsi_tr_03161_2' },
@@ -109,7 +134,7 @@ export const REGULATIONS_IN_RAG: Record<string, RagRegulationEntry> = {
HU_INFOTV: { collection: 'bp_compliance_gesetze', chunks: 747, qdrant_id: 'hu_info_tv' },
LU_DPA_LAW: { collection: 'bp_compliance_gesetze', chunks: 2, qdrant_id: 'lu_dpa_law' },
// === EDPB Guidelines (bp_compliance_datenschutz) ===
// === EDPB Guidelines (bp_compliance_datenschutz) — alt (ingest-legal-corpus.sh) ===
EDPB_GUIDELINES_5_2020: { collection: 'bp_compliance_datenschutz', chunks: 236, qdrant_id: 'edpb_05_2020' },
EDPB_GUIDELINES_7_2020: { collection: 'bp_compliance_datenschutz', chunks: 347, qdrant_id: 'edpb_guidelines_7_2020' },
EDPB_GUIDELINES_1_2020: { collection: 'bp_compliance_datenschutz', chunks: 337, qdrant_id: 'edpb_01_2020' },
@@ -119,8 +144,73 @@ export const REGULATIONS_IN_RAG: Record<string, RagRegulationEntry> = {
EDPB_GUIDELINES_4_2019: { collection: 'bp_compliance_datenschutz', chunks: 202, qdrant_id: 'edpb_04_2019' },
EDPB_GUIDELINES_9_2022: { collection: 'bp_compliance_datenschutz', chunks: 243, qdrant_id: 'edpb_09_2022' },
EDPB_DPIA_LIST: { collection: 'bp_compliance_datenschutz', chunks: 29, qdrant_id: 'edpb_dpia_list' },
EDPB_LEGITIMATE_INTEREST: { collection: 'bp_compliance_datenschutz', chunks: 336, qdrant_id: 'edpb_legitimate_interest' },
EDPS_DPIA_LIST: { collection: 'bp_compliance_datenschutz', chunks: 35, qdrant_id: 'edps_dpia_list' },
EDPB_LEGITIMATE_INTEREST: { collection: 'bp_compliance_datenschutz', chunks: 672, qdrant_id: 'edpb_legitimate_interest' },
EDPS_DPIA_LIST: { collection: 'bp_compliance_datenschutz', chunks: 73, qdrant_id: 'edps_dpia_list' },
// === EDPB Guidelines (bp_compliance_datenschutz) — neu (edpb-crawler.py) ===
EDPB_ACCESS_01_2022: { collection: 'bp_compliance_datenschutz', chunks: 1020, qdrant_id: 'edpb_access_01_2022' },
EDPB_ARTICLE48_02_2024: { collection: 'bp_compliance_datenschutz', chunks: 158, qdrant_id: 'edpb_article48_02_2024' },
EDPB_BCR_01_2022: { collection: 'bp_compliance_datenschutz', chunks: 384, qdrant_id: 'edpb_bcr_01_2022' },
EDPB_BREACH_09_2022: { collection: 'bp_compliance_datenschutz', chunks: 486, qdrant_id: 'edpb_breach_09_2022' },
EDPB_CERTIFICATION_01_2018: { collection: 'bp_compliance_datenschutz', chunks: 160, qdrant_id: 'edpb_certification_01_2018' },
EDPB_CERTIFICATION_01_2019: { collection: 'bp_compliance_datenschutz', chunks: 160, qdrant_id: 'edpb_certification_01_2019' },
EDPB_CONNECTED_VEHICLES_01_2020: { collection: 'bp_compliance_datenschutz', chunks: 482, qdrant_id: 'edpb_connected_vehicles_01_2020' },
EDPB_CONSENT_05_2020: { collection: 'bp_compliance_datenschutz', chunks: 247, qdrant_id: 'edpb_consent_05_2020' },
EDPB_CONTROLLER_PROCESSOR_07_2020: { collection: 'bp_compliance_datenschutz', chunks: 694, qdrant_id: 'edpb_controller_processor_07_2020' },
EDPB_COOKIE_TASKFORCE_2023: { collection: 'bp_compliance_datenschutz', chunks: 78, qdrant_id: 'edpb_cookie_taskforce_2023' },
EDPB_DARK_PATTERNS_03_2022: { collection: 'bp_compliance_datenschutz', chunks: 413, qdrant_id: 'edpb_dark_patterns_03_2022' },
EDPB_DPBD_04_2019: { collection: 'bp_compliance_datenschutz', chunks: 216, qdrant_id: 'edpb_dpbd_04_2019' },
EDPB_DPIA_LIST_RECOMMENDATION: { collection: 'bp_compliance_datenschutz', chunks: 31, qdrant_id: 'edpb_dpia_list_recommendation' },
EDPB_EPRIVACY_02_2023: { collection: 'bp_compliance_datenschutz', chunks: 188, qdrant_id: 'edpb_eprivacy_02_2023' },
EDPB_FACIAL_RECOGNITION_05_2022: { collection: 'bp_compliance_datenschutz', chunks: 396, qdrant_id: 'edpb_facial_recognition_05_2022' },
EDPB_FINES_04_2022: { collection: 'bp_compliance_datenschutz', chunks: 346, qdrant_id: 'edpb_fines_04_2022' },
EDPB_GEOLOCATION_04_2020: { collection: 'bp_compliance_datenschutz', chunks: 108, qdrant_id: 'edpb_geolocation_04_2020' },
EDPB_GL_2_2019: { collection: 'bp_compliance_datenschutz', chunks: 107, qdrant_id: 'edpb_gl_2_2019' },
EDPB_HEALTH_DATA_03_2020: { collection: 'bp_compliance_datenschutz', chunks: 182, qdrant_id: 'edpb_health_data_03_2020' },
EDPB_LEGAL_BASIS_02_2019: { collection: 'bp_compliance_datenschutz', chunks: 107, qdrant_id: 'edpb_legal_basis_02_2019' },
EDPB_LEGITIMATE_INTEREST_01_2024: { collection: 'bp_compliance_datenschutz', chunks: 336, qdrant_id: 'edpb_legitimate_interest_01_2024' },
EDPB_RTBF_05_2019: { collection: 'bp_compliance_datenschutz', chunks: 111, qdrant_id: 'edpb_rtbf_05_2019' },
EDPB_RRO_09_2020: { collection: 'bp_compliance_datenschutz', chunks: 82, qdrant_id: 'edpb_rro_09_2020' },
EDPB_SOCIAL_MEDIA_08_2020: { collection: 'bp_compliance_datenschutz', chunks: 333, qdrant_id: 'edpb_social_media_08_2020' },
EDPB_TRANSFERS_01_2020: { collection: 'bp_compliance_datenschutz', chunks: 337, qdrant_id: 'edpb_transfers_01_2020' },
EDPB_TRANSFERS_07_2020: { collection: 'bp_compliance_datenschutz', chunks: 337, qdrant_id: 'edpb_transfers_07_2020' },
EDPB_VIDEO_03_2019: { collection: 'bp_compliance_datenschutz', chunks: 204, qdrant_id: 'edpb_video_03_2019' },
EDPB_VVA_02_2021: { collection: 'bp_compliance_datenschutz', chunks: 273, qdrant_id: 'edpb_vva_02_2021' },
// === EDPS Guidance (bp_compliance_datenschutz) ===
EDPS_DIGITAL_ETHICS_2018: { collection: 'bp_compliance_datenschutz', chunks: 404, qdrant_id: 'edps_digital_ethics_2018' },
EDPS_GENAI_ORIENTATIONS_2024: { collection: 'bp_compliance_datenschutz', chunks: 274, qdrant_id: 'edps_genai_orientations_2024' },
// === WP29 Endorsed (bp_compliance_datenschutz) ===
WP242_PORTABILITY: { collection: 'bp_compliance_datenschutz', chunks: 141, qdrant_id: 'wp242_portability' },
WP243_DPO: { collection: 'bp_compliance_datenschutz', chunks: 54, qdrant_id: 'wp243_dpo' },
WP244_PROFILING: { collection: 'bp_compliance_datenschutz', chunks: 247, qdrant_id: 'wp244_profiling' },
WP248_DPIA: { collection: 'bp_compliance_datenschutz', chunks: 288, qdrant_id: 'wp248_dpia' },
WP250_BREACH: { collection: 'bp_compliance_datenschutz', chunks: 201, qdrant_id: 'wp250_breach' },
WP259_CONSENT: { collection: 'bp_compliance_datenschutz', chunks: 496, qdrant_id: 'wp259_consent' },
WP260_TRANSPARENCY: { collection: 'bp_compliance_datenschutz', chunks: 558, qdrant_id: 'wp260_transparency' },
// === DSFA Muss-Listen (bp_dsfa_corpus) ===
DSFA_BFDI_BUND: { collection: 'bp_dsfa_corpus', chunks: 17, qdrant_id: 'dsfa_bfdi_bund' },
DSFA_DSK_GEMEINSAM: { collection: 'bp_dsfa_corpus', chunks: 35, qdrant_id: 'dsfa_dsk_gemeinsam' },
DSFA_BW: { collection: 'bp_dsfa_corpus', chunks: 41, qdrant_id: 'dsfa_bw' },
DSFA_BY: { collection: 'bp_dsfa_corpus', chunks: 35, qdrant_id: 'dsfa_by' },
DSFA_BE_OE: { collection: 'bp_dsfa_corpus', chunks: 31, qdrant_id: 'dsfa_be_oe' },
DSFA_BE_NOE: { collection: 'bp_dsfa_corpus', chunks: 48, qdrant_id: 'dsfa_be_noe' },
DSFA_BB_OE: { collection: 'bp_dsfa_corpus', chunks: 43, qdrant_id: 'dsfa_bb_oe' },
DSFA_BB_NOE: { collection: 'bp_dsfa_corpus', chunks: 53, qdrant_id: 'dsfa_bb_noe' },
DSFA_HB: { collection: 'bp_dsfa_corpus', chunks: 44, qdrant_id: 'dsfa_hb' },
DSFA_HH_OE: { collection: 'bp_dsfa_corpus', chunks: 58, qdrant_id: 'dsfa_hh_oe' },
DSFA_HH_NOE: { collection: 'bp_dsfa_corpus', chunks: 53, qdrant_id: 'dsfa_hh_noe' },
DSFA_MV: { collection: 'bp_dsfa_corpus', chunks: 32, qdrant_id: 'dsfa_mv' },
DSFA_NI: { collection: 'bp_dsfa_corpus', chunks: 47, qdrant_id: 'dsfa_ni' },
DSFA_RP: { collection: 'bp_dsfa_corpus', chunks: 25, qdrant_id: 'dsfa_rp' },
DSFA_SL: { collection: 'bp_dsfa_corpus', chunks: 35, qdrant_id: 'dsfa_sl' },
DSFA_SN: { collection: 'bp_dsfa_corpus', chunks: 18, qdrant_id: 'dsfa_sn' },
DSFA_ST_OE: { collection: 'bp_dsfa_corpus', chunks: 57, qdrant_id: 'dsfa_st_oe' },
DSFA_ST_NOE: { collection: 'bp_dsfa_corpus', chunks: 35, qdrant_id: 'dsfa_st_noe' },
DSFA_SH: { collection: 'bp_dsfa_corpus', chunks: 44, qdrant_id: 'dsfa_sh' },
DSFA_TH: { collection: 'bp_dsfa_corpus', chunks: 48, qdrant_id: 'dsfa_th' },
}
/**
@@ -152,6 +242,12 @@ export const REGULATION_INFO: RegulationInfo[] = [
{ code: 'DSM', name: 'DSM-Urheberrechtsrichtlinie', type: 'eu_directive' },
{ code: 'PLD', name: 'Produkthaftungsrichtlinie', type: 'eu_directive' },
{ code: 'GPSR', name: 'General Product Safety', type: 'eu_regulation' },
{ code: 'WARENKAUF_RL', name: 'Warenkauf-RL', type: 'eu_directive' },
{ code: 'KLAUSEL_RL', name: 'Klausel-RL', type: 'eu_directive' },
{ code: 'UNLAUTERE_PRAKTIKEN_RL', name: 'UGP-RL', type: 'eu_directive' },
{ code: 'PREISANGABEN_RL', name: 'Preisangaben-RL', type: 'eu_directive' },
{ code: 'OMNIBUS_RL', name: 'Omnibus-RL', type: 'eu_directive' },
{ code: 'BATTERIE_VO', name: 'Batterieverordnung', type: 'eu_regulation' },
{ code: 'E_COMMERCE_RL', name: 'E-Commerce-Richtlinie', type: 'eu_directive' },
{ code: 'VERBRAUCHERRECHTE_RL', name: 'Verbraucherrechte-RL', type: 'eu_directive' },
{ code: 'DIGITALE_INHALTE_RL', name: 'Digitale-Inhalte-RL', type: 'eu_directive' },
@@ -180,6 +276,22 @@ export const REGULATION_INFO: RegulationInfo[] = [
{ code: 'DE_GESCHGEHG', name: 'GeschGehG', type: 'de_law' },
{ code: 'DE_USTG_RET', name: 'UStG', type: 'de_law' },
{ code: 'DE_URHG', name: 'UrhG', type: 'de_law' },
// DE Verbraucherschutz
{ code: 'DE_PANGV', name: 'PAngV', type: 'de_law' },
{ code: 'DE_VSBG', name: 'VSBG', type: 'de_law' },
{ code: 'DE_PRODHAFTG', name: 'ProdHaftG', type: 'de_law' },
{ code: 'DE_VERPACKG', name: 'VerpackG', type: 'de_law' },
{ code: 'DE_ELEKTROG', name: 'ElektroG', type: 'de_law' },
{ code: 'DE_BATTDG', name: 'BattDG', type: 'de_law' },
{ code: 'DE_BFSG', name: 'BFSG', type: 'de_law' },
{ code: 'DE_UWG', name: 'UWG', type: 'de_law' },
{ code: 'DE_GEWO', name: 'GewO', type: 'de_law' },
{ code: 'DE_BGB_AGB_305', name: 'BGB AGB-Recht §§305-310', type: 'de_law' },
{ code: 'DE_BGB_FERNABSATZ', name: 'BGB Fernabsatz §§312-312k', type: 'de_law' },
{ code: 'DE_BGB_KAUFRECHT', name: 'BGB Kaufrecht §§433-480', type: 'de_law' },
{ code: 'DE_BGB_WIDERRUF', name: 'BGB Widerruf §§355-361', type: 'de_law' },
{ code: 'DE_BGB_DIGITAL', name: 'BGB Digital §§327-327u', type: 'de_law' },
{ code: 'DE_EGBGB_WIDERRUF', name: 'EGBGB Widerrufsbelehrung', type: 'de_law' },
// BSI
{ code: 'BSI-TR-03161-1', name: 'BSI-TR Teil 1', type: 'bsi_standard' },
{ code: 'BSI-TR-03161-2', name: 'BSI-TR Teil 2', type: 'bsi_standard' },
@@ -217,18 +329,79 @@ export const REGULATION_INFO: RegulationInfo[] = [
{ code: 'CZ_ZOU', name: 'Zakon Tschechien', type: 'national_law' },
{ code: 'HU_INFOTV', name: 'Infotv. Ungarn', type: 'national_law' },
{ code: 'LU_DPA_LAW', name: 'Datenschutzgesetz Luxemburg', type: 'national_law' },
// EDPB
// EDPB Guidelines (alt)
{ code: 'EDPB_GUIDELINES_5_2020', name: 'EDPB GL Einwilligung', type: 'eu_guideline' },
{ code: 'EDPB_GUIDELINES_7_2020', name: 'EDPB GL C/P Konzepte', type: 'eu_guideline' },
{ code: 'EDPB_GUIDELINES_1_2020', name: 'EDPB GL Fahrzeuge', type: 'eu_guideline' },
{ code: 'EDPB_GUIDELINES_1_2022', name: 'EDPB GL Bussgelder', type: 'eu_guideline' },
{ code: 'EDPB_GUIDELINES_2_2023', name: 'EDPB GL Art. 37 Scope', type: 'eu_guideline' },
{ code: 'EDPB_GUIDELINES_2_2024', name: 'EDPB GL 2024', type: 'eu_guideline' },
{ code: 'EDPB_GUIDELINES_2_2024', name: 'EDPB GL Art. 48', type: 'eu_guideline' },
{ code: 'EDPB_GUIDELINES_4_2019', name: 'EDPB GL Art. 25 DPbD', type: 'eu_guideline' },
{ code: 'EDPB_GUIDELINES_9_2022', name: 'EDPB GL Datenschutzverletzung', type: 'eu_guideline' },
{ code: 'EDPB_DPIA_LIST', name: 'EDPB DPIA-Liste', type: 'eu_guideline' },
{ code: 'EDPB_LEGITIMATE_INTEREST', name: 'EDPB Berecht. Interesse', type: 'eu_guideline' },
{ code: 'EDPS_DPIA_LIST', name: 'EDPS DPIA-Liste', type: 'eu_guideline' },
// EDPB Guidelines (neu — Crawler)
{ code: 'EDPB_ACCESS_01_2022', name: 'EDPB GL Auskunftsrecht', type: 'eu_guideline' },
{ code: 'EDPB_ARTICLE48_02_2024', name: 'EDPB GL Art. 48', type: 'eu_guideline' },
{ code: 'EDPB_BCR_01_2022', name: 'EDPB GL BCR', type: 'eu_guideline' },
{ code: 'EDPB_BREACH_09_2022', name: 'EDPB GL Datenpannen', type: 'eu_guideline' },
{ code: 'EDPB_CERTIFICATION_01_2018', name: 'EDPB GL Zertifizierung', type: 'eu_guideline' },
{ code: 'EDPB_CERTIFICATION_01_2019', name: 'EDPB GL Zertifizierung 2019', type: 'eu_guideline' },
{ code: 'EDPB_CONNECTED_VEHICLES_01_2020', name: 'EDPB GL Vernetzte Fahrzeuge', type: 'eu_guideline' },
{ code: 'EDPB_CONSENT_05_2020', name: 'EDPB GL Consent', type: 'eu_guideline' },
{ code: 'EDPB_CONTROLLER_PROCESSOR_07_2020', name: 'EDPB GL Verantwortliche/Auftragsverarbeiter', type: 'eu_guideline' },
{ code: 'EDPB_COOKIE_TASKFORCE_2023', name: 'EDPB Cookie-Banner Taskforce', type: 'eu_guideline' },
{ code: 'EDPB_DARK_PATTERNS_03_2022', name: 'EDPB GL Dark Patterns', type: 'eu_guideline' },
{ code: 'EDPB_DPBD_04_2019', name: 'EDPB GL Data Protection by Design', type: 'eu_guideline' },
{ code: 'EDPB_DPIA_LIST_RECOMMENDATION', name: 'EDPB DPIA-Empfehlung', type: 'eu_guideline' },
{ code: 'EDPB_EPRIVACY_02_2023', name: 'EDPB GL ePrivacy', type: 'eu_guideline' },
{ code: 'EDPB_FACIAL_RECOGNITION_05_2022', name: 'EDPB GL Gesichtserkennung', type: 'eu_guideline' },
{ code: 'EDPB_FINES_04_2022', name: 'EDPB GL Bussgeldberechnung', type: 'eu_guideline' },
{ code: 'EDPB_GEOLOCATION_04_2020', name: 'EDPB GL Geolokalisierung', type: 'eu_guideline' },
{ code: 'EDPB_GL_2_2019', name: 'EDPB GL Video-Ueberwachung', type: 'eu_guideline' },
{ code: 'EDPB_HEALTH_DATA_03_2020', name: 'EDPB GL Gesundheitsdaten', type: 'eu_guideline' },
{ code: 'EDPB_LEGAL_BASIS_02_2019', name: 'EDPB GL Rechtsgrundlage Art. 6(1)(b)', type: 'eu_guideline' },
{ code: 'EDPB_LEGITIMATE_INTEREST_01_2024', name: 'EDPB GL Berecht. Interesse 2024', type: 'eu_guideline' },
{ code: 'EDPB_RTBF_05_2019', name: 'EDPB GL Recht auf Vergessenwerden', type: 'eu_guideline' },
{ code: 'EDPB_RRO_09_2020', name: 'EDPB GL Relevant & Reasoned Objection', type: 'eu_guideline' },
{ code: 'EDPB_SOCIAL_MEDIA_08_2020', name: 'EDPB GL Social Media Targeting', type: 'eu_guideline' },
{ code: 'EDPB_TRANSFERS_01_2020', name: 'EDPB GL Uebermittlungen Art. 49', type: 'eu_guideline' },
{ code: 'EDPB_TRANSFERS_07_2020', name: 'EDPB GL Drittlandtransfers', type: 'eu_guideline' },
{ code: 'EDPB_VIDEO_03_2019', name: 'EDPB GL Videoueberwachung', type: 'eu_guideline' },
{ code: 'EDPB_VVA_02_2021', name: 'EDPB GL Virtuelle Sprachassistenten', type: 'eu_guideline' },
// EDPS
{ code: 'EDPS_DIGITAL_ETHICS_2018', name: 'EDPS Digitale Ethik', type: 'eu_guideline' },
{ code: 'EDPS_GENAI_ORIENTATIONS_2024', name: 'EDPS GenAI Orientierungen', type: 'eu_guideline' },
// WP29 Endorsed
{ code: 'WP242_PORTABILITY', name: 'WP242 Datenportabilitaet', type: 'wp29_endorsed' },
{ code: 'WP243_DPO', name: 'WP243 Datenschutzbeauftragter', type: 'wp29_endorsed' },
{ code: 'WP244_PROFILING', name: 'WP244 Profiling', type: 'wp29_endorsed' },
{ code: 'WP248_DPIA', name: 'WP248 DSFA', type: 'wp29_endorsed' },
{ code: 'WP250_BREACH', name: 'WP250 Datenpannen', type: 'wp29_endorsed' },
{ code: 'WP259_CONSENT', name: 'WP259 Einwilligung', type: 'wp29_endorsed' },
{ code: 'WP260_TRANSPARENCY', name: 'WP260 Transparenz', type: 'wp29_endorsed' },
// DSFA Muss-Listen
{ code: 'DSFA_BFDI_BUND', name: 'DSFA BfDI Bund', type: 'dsfa_mussliste' },
{ code: 'DSFA_DSK_GEMEINSAM', name: 'DSFA DSK Gemeinsam', type: 'dsfa_mussliste' },
{ code: 'DSFA_BW', name: 'DSFA Baden-Wuerttemberg', type: 'dsfa_mussliste' },
{ code: 'DSFA_BY', name: 'DSFA Bayern', type: 'dsfa_mussliste' },
{ code: 'DSFA_BE_OE', name: 'DSFA Berlin oeffentlich', type: 'dsfa_mussliste' },
{ code: 'DSFA_BE_NOE', name: 'DSFA Berlin nicht-oeffentlich', type: 'dsfa_mussliste' },
{ code: 'DSFA_BB_OE', name: 'DSFA Brandenburg oeffentlich', type: 'dsfa_mussliste' },
{ code: 'DSFA_BB_NOE', name: 'DSFA Brandenburg nicht-oeffentlich', type: 'dsfa_mussliste' },
{ code: 'DSFA_HB', name: 'DSFA Bremen', type: 'dsfa_mussliste' },
{ code: 'DSFA_HH_OE', name: 'DSFA Hamburg oeffentlich', type: 'dsfa_mussliste' },
{ code: 'DSFA_HH_NOE', name: 'DSFA Hamburg nicht-oeffentlich', type: 'dsfa_mussliste' },
{ code: 'DSFA_MV', name: 'DSFA Mecklenburg-Vorpommern', type: 'dsfa_mussliste' },
{ code: 'DSFA_NI', name: 'DSFA Niedersachsen', type: 'dsfa_mussliste' },
{ code: 'DSFA_RP', name: 'DSFA Rheinland-Pfalz', type: 'dsfa_mussliste' },
{ code: 'DSFA_SL', name: 'DSFA Saarland', type: 'dsfa_mussliste' },
{ code: 'DSFA_SN', name: 'DSFA Sachsen', type: 'dsfa_mussliste' },
{ code: 'DSFA_ST_OE', name: 'DSFA Sachsen-Anhalt oeffentlich', type: 'dsfa_mussliste' },
{ code: 'DSFA_ST_NOE', name: 'DSFA Sachsen-Anhalt nicht-oeffentlich', type: 'dsfa_mussliste' },
{ code: 'DSFA_SH', name: 'DSFA Schleswig-Holstein', type: 'dsfa_mussliste' },
{ code: 'DSFA_TH', name: 'DSFA Thueringen', type: 'dsfa_mussliste' },
// International Standards
{ code: 'NIST_SSDF', name: 'NIST SSDF', type: 'international_standard' },
{ code: 'NIST_CSF_2', name: 'NIST CSF 2.0', type: 'international_standard' },

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