Non-negotiable structural rules that apply to every Claude Code session in
this repo and to every commit, enforced via three defense-in-depth layers:
1. PreToolUse hook in .claude/settings.json blocks any Write/Edit that
would push a file past the 500-line hard cap. Auto-loads for any
Claude session in this repo regardless of who launched it.
2. scripts/githooks/pre-commit (installed via scripts/install-hooks.sh)
enforces the LOC cap, freezes migrations/ unless [migration-approved],
and protects guardrail files unless [guardrail-change] is present.
3. .gitea/workflows/ci.yaml gets loc-budget + guardrail-integrity jobs,
plus mypy --strict on new Python packages, tsc --noEmit on Node
services, and a syft+grype SBOM scan.
Per-language conventions are documented in AGENTS.python.md / AGENTS.go.md /
AGENTS.typescript.md at the repo root — layering (router->service->repo for
Python, hexagonal for Go, colocation for Next.js), tooling baseline, and
explicit "what you may NOT do" lists.
Adds scripts/check-loc.sh (soft 300 / hard 500, reports 205 hard and 161
soft violations in the current codebase) plus .claude/rules/loc-exceptions.txt
(initially empty — the list is designed to shrink over time).
Per-service READMEs for all 10 services + PHASE1_RUNBOOK.md for the
backend-compliance refactor. Skeleton packages (compliance/{domain,
repositories,schemas}) are the landing zone for the clean-arch rewrite that
begins in Phase 1.
CLAUDE.md is prepended with the six non-negotiable rules.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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AGENTS.python.md — Python Service Conventions
Applies to: backend-compliance/, document-crawler/, dsms-gateway/, compliance-tts-service/.
Layered architecture (FastAPI)
compliance/
├── api/ # HTTP layer — routers only. Thin (≤30 LOC per handler).
│ └── <domain>_routes.py
├── services/ # Business logic. Pure-ish; no FastAPI imports.
│ └── <domain>_service.py
├── repositories/ # DB access. Owns SQLAlchemy session usage.
│ └── <domain>_repository.py
├── domain/ # Value objects, enums, domain exceptions.
├── schemas/ # Pydantic models, split per domain. NEVER one giant schemas.py.
│ └── <domain>.py
└── db/
└── models/ # SQLAlchemy ORM, one module per aggregate. __tablename__ frozen.
Dependency direction: api → services → repositories → db.models. Lower layers must not import upper layers.
Routers
- One
APIRouterper domain file. - Handlers do exactly: parse request → call service → map domain errors to HTTPException → return response model.
- Inject services via
Depends. No globals. - Tag routes; document with summary + response_model.
@router.post("/dsr/requests", response_model=DSRRequestRead, status_code=201)
async def create_dsr_request(
payload: DSRRequestCreate,
service: DSRService = Depends(get_dsr_service),
tenant_id: UUID = Depends(get_tenant_id),
) -> DSRRequestRead:
try:
return await service.create(tenant_id, payload)
except DSRConflict as exc:
raise HTTPException(409, str(exc)) from exc
Services
- Constructor takes the repository (interface, not concrete).
- No
Request,Response, or HTTP knowledge. - Raise domain exceptions (e.g.
DSRConflict,DSRNotFound), neverHTTPException. - Return domain objects or Pydantic schemas — pick one and stay consistent inside a service.
Repositories
- Methods are intent-named (
get_pending_for_tenant), not CRUD-named (select_where). - Sessions injected, not constructed inside.
- No business logic. No cross-aggregate joins for unrelated workflows — that belongs in a service.
- Return ORM models or domain VOs; never
Row.
Schemas (Pydantic v2)
- One module per domain. Module ≤300 lines.
- Use
model_config = ConfigDict(from_attributes=True, frozen=True)for read models. - Separate
*Create,*Update,*Read. No giant union schemas.
Tests (pytest)
- Layout:
tests/unit/,tests/integration/,tests/contracts/. - Unit tests mock the repository. Use
pytest.fixture+unittest.mock.AsyncMock. - Integration tests run against the real Postgres from
docker-compose.ymlvia a transactional fixture (rollback after each test). - Contract tests diff
/openapi.jsonagainsttests/contracts/openapi.baseline.json. - Naming:
test_<unit>_<scenario>_<expected>.py::TestClass::test_method. pytest-asynciomode =auto. Mark slow tests with@pytest.mark.slow.- Coverage target: 80% for new code; never decrease the service baseline.
Tooling
ruff check+ruff format(line length 100).mypy --strictonservices/,repositories/,domain/. Expand outward.pip-auditin CI.- Async-first: prefer
httpx.AsyncClient,asyncpg/SQLAlchemy 2.x async.
Errors & logging
- Domain errors inherit from a single
DomainErrorbase per service. - Log via
structlogwith bound context (tenant_id,request_id). Never log secrets, PII, or full request bodies. - Audit-relevant actions go through the audit logger, not the application logger.
What you may NOT do
- Add a new Alembic migration.
- Rename a
__tablename__, column, or enum value. - Change a public route's path/method/status/schema without simultaneous dashboard fix.
- Catch
Exceptionbroadly — catch the specific domain or library error. - Put business logic in a router or in a Pydantic validator.
- Create a new file >500 lines. Period.