feat(refactor/phase1): foundation infrastructure for modular pipeline
Phase 1 of PLAN_REFACTOR.md — all four sub-tasks implemented:
1.1 PipelineLogger (backend/app/core/pipeline_logger.py)
- Structured step_start/step_done/step_error/step_progress API
- Publishes to Python logging AND Redis SSE via log_task_event
- Context manager `pl.step("name")` for auto-timing
1.2 RenderJobDocument (backend/app/domains/rendering/job_document.py)
- Pydantic JSONB schema: state machine + per-step records + timing
- begin_step/finish_step/fail_step/skip_step helpers
- Migration 048: adds render_job_doc JSONB column to order_lines
- OrderLine model updated with render_job_doc field
1.3 TenantContextMiddleware (backend/app/core/middleware.py)
- Decodes JWT, stores tenant_id + role in request.state
- get_db updated to auto-apply RLS SET LOCAL from request.state
- Registered in main.py (runs before every request)
- JWT now embeds tenant_id claim via create_access_token()
- Login endpoint passes tenant_id to token creation
1.4 ProcessStep Registry (backend/app/core/process_steps.py)
- StepName StrEnum with all 20 pipeline step names
- Single source of truth for log prefixes, DB records, UI labels
Also adds db_utils.py with set_tenant_sync() + get_sync_session()
for use inside Celery tasks (bypass-safe RLS helper).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -28,9 +28,11 @@ def verify_password(plain: str, hashed: str) -> bool:
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return pwd_context.verify(plain, hashed)
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def create_access_token(user_id: str, role: str) -> str:
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def create_access_token(user_id: str, role: str, tenant_id: str | None = None) -> str:
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expires = datetime.utcnow() + timedelta(minutes=settings.jwt_access_token_expire_minutes)
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payload = {"sub": user_id, "role": role, "exp": expires}
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payload: dict = {"sub": user_id, "role": role, "exp": expires}
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if tenant_id:
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payload["tenant_id"] = tenant_id
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return jwt.encode(payload, settings.jwt_secret_key, algorithm=settings.jwt_algorithm)
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