Add PDF document service with AI extraction and per-app settings
- New `features/doc-service` FastAPI microservice: PDF upload, async text extraction (pdfplumber), AI classification via Anthropic/Ollama/ LM Studio, per-user categories, file download - Alembic migration isolated with `alembic_version_doc_service` table - Main backend: httpx proxy routers for /api/documents/* and /api/documents/categories/*, admin settings API at /api/settings/* - Runtime config in /config/doc_service_config.json (shared Docker volume); api_key masking on reads; atomic write with os.replace() - Frontend: DocumentsPage, DocumentAdminSettingsPage, updated AppsPage launcher hub, simplified Nav (removed Settings link), new routes - docker-compose: doc-service service, doc_data + app_config volumes, removed internal:true from backend-net for outbound AI API calls - Fix pre-commit hook: probe Docker socket path so git subprocess picks up Docker Desktop on macOS - Fix security_check.py: use sys.executable for bandit so venv python is used instead of system python Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -166,7 +166,7 @@ def run_bandit(py_files: list[Path]) -> tuple[bool, str]:
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if not py_files:
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return True, ""
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result = subprocess.run(
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["python", "-m", "bandit", "-q", "-ll", "--", *[str(f) for f in py_files]],
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[sys.executable, "-m", "bandit", "-q", "-ll", "--", *[str(f) for f in py_files]],
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capture_output=True, text=True
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)
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passed = result.returncode == 0
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