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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import asyncio
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from logging.config import fileConfig
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from alembic import context
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from sqlalchemy.ext.asyncio import create_async_engine
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from app.core.config import settings
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from app.database import Base
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import app.models # noqa: F401 — registers Document, DocumentCategory, CategoryAssignment
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config = context.config
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config.set_main_option("sqlalchemy.url", settings.DATABASE_URL)
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if config.config_file_name:
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fileConfig(config.config_file_name)
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target_metadata = Base.metadata
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# Separate version table — must not collide with the main backend's alembic_version table.
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VERSION_TABLE = "alembic_version_doc_service"
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def run_migrations_offline():
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context.configure(
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url=settings.DATABASE_URL,
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target_metadata=target_metadata,
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literal_binds=True,
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dialect_opts={"paramstyle": "named"},
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version_table=VERSION_TABLE,
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)
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with context.begin_transaction():
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context.run_migrations()
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def do_run_migrations(connection):
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context.configure(
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connection=connection,
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target_metadata=target_metadata,
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version_table=VERSION_TABLE,
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)
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with context.begin_transaction():
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context.run_migrations()
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async def run_migrations_online():
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engine = create_async_engine(settings.DATABASE_URL)
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async with engine.connect() as conn:
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await conn.run_sync(do_run_migrations)
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await engine.dispose()
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if context.is_offline_mode():
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run_migrations_offline()
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else:
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asyncio.run(run_migrations_online())
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