Hartmut
ea31ed657c
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>
28 lines
603 B
Python
28 lines
603 B
Python
"""Add render_job_doc JSONB column to order_lines.
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Stores a structured RenderJobDocument (state machine, per-step results,
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timing, GPU info) alongside the legacy render_log column.
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Revision ID: 048
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Revises: 047
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"""
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from alembic import op
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import sqlalchemy as sa
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from sqlalchemy.dialects.postgresql import JSONB
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revision = "048"
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down_revision = "047"
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branch_labels = None
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depends_on = None
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def upgrade() -> None:
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op.add_column(
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"order_lines",
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sa.Column("render_job_doc", JSONB, nullable=True),
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)
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def downgrade() -> None:
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op.drop_column("order_lines", "render_job_doc")
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