Add StepName.BLENDER_CINEMATIC and full graph runtime support so cinematic
output types can be promoted from legacy_only to graph/shadow rollout mode.
- process_steps.py: add BLENDER_CINEMATIC = "blender_cinematic" enum value
- workflow_executor.py: map to render_cinematic_task in STEP_TASK_MAP
- workflow_node_registry.py: node definition with render/scene/camera fields
(no animation params — cinematic is fixed at 250 frames @ 25fps)
- workflow_graph_runtime.py: _ORDER_LINE_RENDER_STEPS, _CINEMATIC_TASK_KEYS,
shadow queue routing, predict_render_output_artifact (mp4),
_build_task_kwargs, _artifact_kind_override_for_step
- tasks.py: _normalize_cinematic_params + render_cinematic_task Celery task
(calls render_cinematic_to_file, publishes as turntable asset type since mp4)
No DB migration needed: admins can now manually set cinematic output types
to graph rollout mode via the admin panel and assign a workflow definition.
docs: learnings erfasst — BLENDER_CINEMATIC workflow graph node M1
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
M3: cors_origins setting in config.py (env CORS_ORIGINS); main.py reads from settings.
M4: add build_order_line_step_render_dir() to render_paths.py; tasks.py drops placeholder.mp4 trick.
M5: unknown workflow graph nodes now fail the run (status="failed" + logger.error) instead of silently skipping.
M6: invoice line description is now "{product} — {output_type}" instead of bare UUID; eager-loads relations.
M7: order_number_prefix setting in config.py (env ORDER_NUMBER_PREFIX, default "SA").
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The queue handles far more than thumbnails: OCC tessellation, USD master
generation, GLB production, order line renders, and workflow renders.
asset_pipeline better reflects its role as the render-worker's primary queue.
Updated all references in: task decorators, celery_app.py, beat_tasks.py,
docker-compose.yml worker command, worker.py MONITORED_QUEUES, admin.py,
CLAUDE.md, LEARNINGS.md, Dockerfile, helpTexts.ts, test files,
and all .claude/commands/*.md skill files.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Phase 2.3 — Fix render cancellation (real Celery task ID):
- orders.py cancel endpoints: read celery_task_id from render_job_doc
instead of synthetic "render-{line_id}" which was a no-op
- render_order_line_still_task: creates RenderJobDocument at task start,
stores self.request.id as celery_task_id, writes step-level state
(RESOLVE_STEP_PATH → BLENDER_STILL) back to order_lines.render_job_doc
Phase 3.1 — Remove Pillow overlay dead code:
- blender_render.py: deleted 55-line Pillow post-processing block
(lines 798-851, green bar + model name label)
- transparent_bg=True is always passed; the else branch was unreachable
- Removed mention from script docstring
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Bug A: Media Library thumbnails were gray because <img src> cannot send
JWT auth headers. Added useAuthBlob() hook (fetch + createObjectURL) in
MediaBrowser.tsx. Also fixed publish_asset Celery task to populate
product_id + cad_file_id on MediaAsset for thumbnail fallback resolution.
Bug B: Product dimensions now shown in Product Details card with Ruler
icon and "from CAD" label when cad_mesh_attributes.dimensions_mm exists.
Bug C: Replaced 128×128 CAD thumbnail with InlineCadViewer component.
Queries gltf_geometry MediaAssets, fetches GLB via auth fetch → blob URL
→ Three.js Canvas with OrbitControls. Falls back to thumbnail + "Load 3D
Model" button. Polling when GLB generation is in progress.
Bug D: trimesh was in [cad] optional extra but Dockerfile only installed
[dev]. Changed to pip install -e ".[dev,cad]" — trimesh now available in
backend container, GLB + Colors export works.
Also added bbox extraction (STL-first numpy parsing) in render_step_thumbnail
and admin "Re-extract CAD Metadata" bulk endpoint.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Previously the cache_service was only used in the generate_stl_cache Celery task.
All render paths (render_still, render_turntable_to_file, render_turntable_task)
only checked for a local file and converted from scratch if missing.
Changes:
- render_blender.py: add _stl_from_cache_or_convert() helper that checks MinIO
cache before falling back to local STEP→STL conversion. Wire into render_still()
and render_turntable_to_file() (both STL conversion blocks).
- domains/rendering/tasks.py: wire MinIO cache check into render_turntable_task()
inline before convert_step_to_stl(). All errors are non-fatal (falls back to
fresh conversion).
Now a STEP file converted on one worker is available to all workers via MinIO,
avoiding redundant cadquery conversions on re-renders.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Migration 039: cad_files.mesh_attributes JSONB column.
domains/products/tasks.py: extract_mesh_attributes Celery task using pythonOCC.
still_render.py + turntable_render.py: _apply_mesh_attributes() sets auto-smooth
based on curved_ratio and topology threshold from OCC analysis.
render_blender.py: passes --mesh-attributes JSON arg to Blender subprocess.
render_still_task: loads mesh_attributes from DB and passes to renderer.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
HartmutandClaude Sonnet 4.6