Benjamin Admin
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34da9f4cda
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[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>
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2026-04-25 08:01:18 +02:00 |
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Benjamin Admin
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be7f5f1872
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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>
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2026-03-23 09:53:02 +01:00 |
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Benjamin Admin
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2e0f8632f8
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feat(klausur): Handschrift entfernen + Klausur-HTR implementiert
CI / go-lint (push) Has been skipped
CI / python-lint (push) Has been skipped
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CI / test-go-school (push) Successful in 26s
CI / test-go-edu-search (push) Successful in 26s
CI / test-python-klausur (push) Failing after 1m49s
CI / test-python-agent-core (push) Successful in 14s
CI / test-nodejs-website (push) Successful in 15s
Feature 1: Handschrift entfernen via OCR-Pipeline Session
- services/handwriting_detection.py: _detect_pencil() + target_ink Parameter
("all" | "colored" | "pencil") für gezielte Tinten-Erkennung
- ocr_pipeline_session_store.py: clean_png + handwriting_removal_meta Spalten
(idempotentes ALTER TABLE in init_ocr_pipeline_tables)
- ocr_pipeline_api.py: POST /sessions/{id}/remove-handwriting Endpoint
+ "clean" zu valid_types für Image-Serving hinzugefügt
Feature 2: Klausur-HTR (Hochwertige Handschriftenerkennung)
- handwriting_htr_api.py: Neuer Router /api/v1/htr/recognize + /recognize-session
Primary: qwen2.5vl:32b via Ollama, Fallback: trocr-large-handwritten
- services/trocr_service.py: size Parameter (base | large) für get_trocr_model()
+ run_trocr_ocr() - unterstützt jetzt trocr-large-handwritten
- main.py: HTR Router registriert
Config:
- docker-compose.yml: OLLAMA_HTR_MODEL, HTR_FALLBACK_MODEL
- .env.example: HTR Env-Vars dokumentiert
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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2026-03-03 12:04:26 +01:00 |
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Benjamin Boenisch
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5a31f52310
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Initial commit: breakpilot-lehrer - Lehrer KI Platform
Services: Admin-Lehrer, Backend-Lehrer, Studio v2, Website,
Klausur-Service, School-Service, Voice-Service, Geo-Service,
BreakPilot Drive, Agent-Core
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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2026-02-11 23:47:26 +01:00 |
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