c3f8e19e9291e5703f336f08499047aedcfe32ad
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3fe0fc853c |
fix: fehlende SessionLocal, HTTPException, text Imports in canonical_control_routes
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SessionLocal: 5x verwendet fuer DB-Sessions ausserhalb Depends() HTTPException: verwendet in Framework-Validation text: 55x verwendet fuer raw SQL queries Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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390d32a9cb |
fix: fehlende get_canonical_service Factory + BaseModel Imports
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canonical_control_routes: get_canonical_service() Dependency-Factory fehlte nach Refactoring → alle /v1/canonical/* Endpoints gaben 404. dsfa_routes: pydantic BaseModel Import fehlte → Router lud nicht. Startup-Log vorher: "Loaded 37/41 compliance sub-routers" Startup-Log nachher: "Loaded 41/41 compliance sub-routers" (erwartet) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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fc8b6445f3 |
fix: fehlender pydantic Import in canonical_control_routes
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BaseModel Import fehlte → gesamte Datei crashte beim Import → alle Control-Endpoints (/controls, /frameworks, /controls-count) lieferten 404. Frontend zeigte 0 Controls. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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c43d9da6d0 |
merge: sync with origin/main, take upstream on conflicts
# Conflicts: # admin-compliance/lib/sdk/types.ts # admin-compliance/lib/sdk/vendor-compliance/types.ts |
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b850368ec9 |
refactor(backend/api): extract CanonicalControlService (Step 4 — file 6 of 18)
compliance/api/canonical_control_routes.py (514 LOC) -> 192 LOC thin routes + 316-line CanonicalControlService + 105-line schemas file. Canonical Control Library manages OWASP/NIST/ENISA-anchored security control frameworks and controls. Like company_profile_routes, this file uses raw SQL via sqlalchemy.text() because there are no SQLAlchemy models for canonical_control_frameworks or canonical_controls. Single-service split. Session management moved from bespoke `with SessionLocal() as db:` blocks to Depends(get_db) for consistency. Legacy test imports preserved via re-export (FrameworkResponse, ControlResponse, SimilarityCheckRequest, SimilarityCheckResponse, _control_row). Validation extracted to a module-level `_validate_control_input` helper so both create and update share the same checks. ValidationError (from compliance.domain) replaces raw HTTPException(400) raises. Verified: - 187/187 pytest (173 core + 14 canonical) pass - OpenAPI 360/484 unchanged - mypy compliance/ -> Success on 130 source files - canonical_control_routes.py 514 -> 192 LOC - Hard-cap violations: 13 -> 12 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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f39e5a71af |
feat: Obligation-Deduplizierung — 34.617 Duplikate als 'duplicate' markiert
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Neue Endpunkte POST /obligations/dedup und GET /obligations/dedup-stats. Pro candidate_id wird der aelteste Eintrag behalten, alle weiteren erhalten release_state='duplicate' mit merged_into_id + quality_flags fuer Traceability. Detail-View filtert Duplikate aus. MKDocs aktualisiert. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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ac42a0aaa0 |
fix: Faceted Counts — NULL-Werte einbeziehen + AbortController fuer Race Conditions
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Backend: Facets zaehlen jetzt Controls OHNE Wert (z.B. "Ohne Nachweis") als __none__. Filter unterstuetzen __none__ fuer verification_method, category, evidence_type. Counts addieren sich immer zum Total. Frontend: "Ohne X" Optionen in Dropdowns. AbortController verhindert dass aeltere API-Antworten neuere ueberschreiben. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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52e463a7c8 |
feat: Faceted Search — Dropdown-Counts passen sich aktiven Filtern an
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Backend: controls-meta akzeptiert alle Filter-Parameter und berechnet Faceted Counts (jede Dimension zaehlt mit allen ANDEREN Filtern). Neue Facets: severity, verification_method, category, evidence_type, release_state — zusaetzlich zu domains, sources, type_counts. Frontend: loadMeta laedt bei jeder Filteraenderung neu, alle Dropdowns zeigen kontextsensitive Zahlen. Proxy leitet Filter an controls-meta weiter. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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2dee62fa6f |
feat: Eigenentwicklung-Filter im Typ-Dropdown mit Counts
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Backend: control_type=eigenentwicklung in list_controls + count_controls, type_counts (rich/atomic/eigenentwicklung) in controls-meta Endpoint. Frontend: Typ-Dropdown zeigt Eigenentwicklung mit Anzahl. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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db7c207464 |
feat: V1 Control Enrichment — Eigenentwicklung-Label, regulatorisches Matching & Vergleichsansicht
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863 v1-Controls (manuell geschrieben, ohne Rechtsgrundlage) werden als "Eigenentwicklung" gekennzeichnet und automatisch mit regulatorischen Controls (DSGVO, NIS2, OWASP etc.) per Embedding-Similarity abgeglichen. Backend: - Migration 080: v1_control_matches Tabelle (Cross-Reference) - v1_enrichment.py: Batch-Matching via BGE-M3 + Qdrant (Threshold 0.75) - 3 neue API-Endpoints: enrich-v1-matches, v1-matches, v1-enrichment-stats - 6 Tests (dry-run, execution, matches, pagination, detection) Frontend: - Orange "Eigenentwicklung"-Badge statt grauem "v1" (wenn kein Source) - "Regulatorische Abdeckung"-Sektion im ControlDetail mit Match-Karten - Side-by-Side V1CompareView (Eigenentwicklung vs. regulatorisch gedeckt) - Prev/Next Navigation durch alle Matches Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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cb034b8009 |
fix: DB-Rollback nach LLM-Fehler im Rationale-Backfill
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Verhindert 'invalid transaction' Fehler wenn ein LLM-Call fehlschlaegt und nachfolgende DB-Operationen blockiert. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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23dd5116b3 |
feat: LLM-basierter Rationale-Backfill fuer atomare Controls
POST /controls/backfill-rationale — ersetzt Placeholder "Aus Obligation abgeleitet." durch LLM-generierte Begruendungen (Ollama/qwen3.5). Optimierung: gruppiert ~86k Controls nach ~7k Parents, ein LLM-Call pro Parent. Paginierung via batch_size/offset fuer kontrollierte Ausfuehrung. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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5e9cab6ab5 |
feat: evidence_type Feld (code/process/hybrid) fuer Controls
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Neues Feld auf canonical_controls klassifiziert, ob ein Control technisch im Source Code (code), organisatorisch via Dokumente (process) oder beides (hybrid) nachgewiesen wird. Inklusive Backfill-Endpoint, Frontend-Badge/Filter und MkDocs-Dokumentation. - Migration 079: evidence_type VARCHAR(20) + Index - Backend: Filter, Backfill-Endpoint mit Domain-Heuristik, CRUD - Frontend: EvidenceTypeBadge (sky/amber/violet), Nachweisart-Dropdown - Proxy: evidence_type Passthrough fuer controls + controls-count - Tests: 22 Tests fuer Klassifikations-Heuristik - Docs: Eigenes MkDocs-Kapitel mit Mermaid-Diagramm Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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a29bfdd588 |
fix: normative_strength 'may' statt 'can' (DB-Constraint)
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DB-Constraint erlaubt nur must/should/may. 'can' gibt es nicht. Alle Referenzen auf 'can' durch 'may' ersetzt. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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9dbb4cc5d2 |
fix: Backfill nutzt source_citation statt control_parent_links
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Die Obligation kennt ihren Parent-Rich-Control direkt. Dessen source_citation->>'source' gibt die Quell-Regulierung zuverlaessiger als der Umweg ueber control_parent_links (M:N-Inflation). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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230fbeb490 |
feat: Dreistufenmodell normative Verbindlichkeit + Duplikat-Filter + Auto-Deploy
- Source-Type-Klassifikation (58 Regulierungen: law/guideline/framework) - Backfill-Endpoint POST /controls/backfill-normative-strength - exclude_duplicates Filter fuer Control-Library (Backend + Proxy + UI-Toggle) - MkDocs-Kapitel: Normative Verbindlichkeit mit Mermaid-Diagrammen - scripts/deploy.sh: Auto-Push + Mac Mini rebuild + Coolify health monitoring - 26 Unit Tests fuer Klassifikations-Logik Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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6d3bdf8e74 |
feat: Control-Detail Provenance + Atomare Controls Seite
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Backend: provenance endpoint (obligations, doc refs, merged duplicates, regulations summary) + atomic-stats aggregation endpoint. Frontend: ControlDetail mit Provenance-Sektionen, klickbare Navigation, neue /sdk/atomic-controls Seite mit Stats-Bar und gefilterer Liste. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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ac6134ce6d |
feat: control_parent_links population + traceability API + frontend
- _write_atomic_control() now uses RETURNING id and inserts into
control_parent_links (M:N) with source_regulation, source_article,
and obligation_candidate_id parsed from parent's source_citation
- New _parse_citation() helper for JSONB source_citation extraction
- New GET /controls/{id}/traceability endpoint returning full chain:
parent links with obligations, child controls, source_count
- Backend: control_type filter (atomic/rich) for controls + count
- Frontend: Rechtsgrundlagen section in ControlDetail showing all
parent links per source regulation with obligation text + strength
- Frontend: Atomic/Rich filter dropdown in Control Library list
- Frontend: GenerationStrategyBadge recognizes 'pass0b' strategy
- Tests: 3 new tests for parent_link creation + citation parsing,
existing batch test mock updated for RETURNING clause
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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643b26618f |
feat: Control Library UI, dedup migration, QA tooling, docs
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- Control Library: parent control display, ObligationTypeBadge, GenerationStrategyBadge variants, evidence string fallback - API: expose parent_control_uuid/id/title in canonical controls - Fix: DSFA SQLAlchemy 2.0 Row._mapping compatibility - Migration 074: control_parent_links + control_dedup_reviews tables - QA scripts: benchmark, gap analysis, OSCAL import, OWASP cleanup, phase5 normalize, phase74 gap fill, sync_db, run_job - Docs: dedup engine, RAG benchmark, lessons learned, pipeline docs Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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f2819b99af |
feat(pipeline): v3 — scoped control applicability + source_type classification
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Phase 4: source_type (law/guideline/standard/restricted) on source_citation - NIST/OWASP/ENISA correctly shown as "Standard" instead of "Gesetzliche Grundlage" - Dynamic frontend labels based on source_type - Backfill endpoint POST /v1/canonical/generate/backfill-source-type Phase v3: Scoped Control Applicability - 3 new fields: applicable_industries, applicable_company_size, scope_conditions - LLM prompt extended with 39 industries, 5 company sizes, 10 scope signals - All 5 generation paths (Rule 1/2/3, batch structure, batch reform) updated - _build_control_from_json: parsing + validation (string→list, size validation) - _store_control: writes 3 new JSONB columns - API: response models, create/update requests, SELECT queries extended - Migration 063: 3 new JSONB columns with GIN indexes - 110 generator tests + 28 route tests = 138 total, all passing Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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4f6bc8f6f6 |
feat(training+controls): interactive video pipeline, training blocks, control generator, CE libraries
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Interactive Training Videos (CP-TRAIN): - DB migration 022: training_checkpoints + checkpoint_progress tables - NarratorScript generation via Anthropic (AI Teacher persona, German) - TTS batch synthesis + interactive video pipeline (slides + checkpoint slides + FFmpeg) - 4 new API endpoints: generate-interactive, interactive-manifest, checkpoint submit, checkpoint progress - InteractiveVideoPlayer component (HTML5 Video, quiz overlay, seek protection, progress tracking) - Learner portal integration with automatic completion on all checkpoints passed - 30 new tests (handler validation + grading logic + manifest/progress + seek protection) Training Blocks: - Block generator, block store, block config CRUD + preview/generate endpoints - Migration 021: training_blocks schema Control Generator + Canonical Library: - Control generator routes + service enhancements - Canonical control library helpers, sidebar entry - Citation backfill service + tests - CE libraries data (hazard, protection, evidence, lifecycle, components) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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c8fd9cc780 |
feat(control-library): document-grouped batching, generation strategy tracking, sort by source
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- Group chunks by regulation_code before batching for better LLM context - Add generation_strategy column (ungrouped=v1, document_grouped=v2) - Add v1/v2 badge to control cards in frontend - Add sort-by-source option with visual group headers - Add frontend page tests (18 tests) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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49ce417428 |
feat: add compliance modules 2-5 (dashboard, security templates, process manager, evidence collector)
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Module 2: Extended Compliance Dashboard with roadmap, module-status, next-actions, snapshots, score-history Module 3: 7 German security document templates (IT-Sicherheitskonzept, Datenschutz, Backup, Logging, Incident-Response, Zugriff, Risikomanagement) Module 4: Compliance Process Manager with CRUD, complete/skip/seed, ~50 seed tasks, 3-tab UI Module 5: Evidence Collector Extended with automated checks, control-mapping, coverage report, 4-tab UI Also includes: canonical control library enhancements (verification method, categories, dedup), control generator improvements, RAG client extensions 52 tests pass, frontend builds clean. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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b6e6ffaaee |
feat: add verification method, categories, and dedup UI to control library
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- Migration 047: verification_method + category columns, 17 category lookup table
- Backend: new filters, GET /categories, GET /controls/{id}/similar (embedding-based)
- Frontend: filter dropdowns, badges, dedup UI in ControlDetail with merge workflow
- ControlForm: verification method + category selects
- Provenance: verification methods, categories, master library strategy sections
- Fix UUID cast syntax in generator routes (::uuid -> CAST)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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c87f07c99a |
feat: seed 10 canonical controls + CRUD endpoints + frontend editor
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- Migration 045: Seed 10 controls (AUTH, NET, SUP, LOG, WEB, DATA, CRYP, REL) with 39 open-source anchors into the database - Backend: POST/PUT/DELETE endpoints for canonical controls CRUD - Frontend proxy: PUT and DELETE methods added to canonical route - Frontend: Control Library with create/edit/delete UI, full form with open anchor management, scope, requirements, evidence, test procedures Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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050f353192 |
feat(canonical-controls): Canonical Control Library — rechtssichere Security Controls
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Eigenstaendig formulierte Security Controls mit unabhaengiger Taxonomie und Open-Source-Verankerung (OWASP, NIST, ENISA). Keine BSI-Nomenklatur. - Migration 044: 5 DB-Tabellen (frameworks, controls, sources, licenses, mappings) - 10 Seed Controls mit 39 Open-Source-Referenzen - License Gate: Quellen-Berechtigungspruefung (analysis/excerpt/embeddings/product) - Too-Close-Detektor: 5 Metriken (exact-phrase, token-overlap, ngram, embedding, LCS) - REST API: 8 Endpoints unter /v1/canonical/ - Go Loader mit Multi-Index (ID, domain, severity, framework) - Frontend: Control Library Browser + Provenance Wiki - CI/CD: validate-controls.py Job (schema, no-leak, open-anchors) - 67 Tests (8 Go + 59 Python), alle PASS - MkDocs Dokumentation Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |