Hartmut
a18d4c23ec
- feat(migration): 045_asset_libraries — new asset_libraries table (blend_file_path, catalog JSONB) - feat(model): AssetLibrary SQLAlchemy model in domains/materials/models.py - feat(api): POST/GET/PATCH/DELETE /api/asset-libraries + /upload-blend + /refresh-catalog endpoints - feat(celery): refresh_asset_library_catalog task on thumbnail_rendering queue — runs Blender headless - feat(blender): catalog_assets.py — extracts asset-marked materials + node_groups from .blend - feat(blender): asset_library.py — apply_asset_library_materials + apply_asset_library_node_groups helpers - feat(blender): export_gltf.py — STEP→STL→GLB production export with optional asset library - feat(blender): export_blend.py — STEP→STL→.blend production export with pack_all() - feat(frontend): api/assetLibraries.ts — full CRUD API client - feat(frontend): AssetLibraryPanel in Admin.tsx — upload, refresh, expand catalog view - docs: Blender asset_data marking requirement learning in LEARNINGS.md Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
from celery import Celery
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from celery.schedules import crontab
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from app.config import settings
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celery_app = Celery(
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"schaefflerautomat",
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broker=settings.redis_url,
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backend=settings.redis_url,
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include=[
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"app.tasks.step_tasks",
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"app.tasks.ai_tasks",
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"app.tasks.beat_tasks",
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"app.domains.rendering.tasks",
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"app.domains.products.tasks",
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"app.domains.imports.tasks",
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"app.domains.materials.tasks",
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],
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)
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celery_app.conf.update(
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task_serializer="json",
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result_serializer="json",
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accept_content=["json"],
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timezone="UTC",
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enable_utc=True,
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task_routes={
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"app.tasks.step_tasks.*": {"queue": "step_processing"},
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"app.tasks.ai_tasks.*": {"queue": "ai_validation"},
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"app.tasks.beat_tasks.*": {"queue": "step_processing"},
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"app.domains.rendering.tasks.*": {"queue": "thumbnail_rendering"},
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},
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beat_schedule={
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"broadcast-queue-status-every-10s": {
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"task": "app.tasks.beat_tasks.broadcast_queue_status",
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"schedule": 10.0, # every 10 seconds
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},
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},
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)
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