172 lines
6.6 KiB
Python
172 lines
6.6 KiB
Python
from datetime import datetime, timezone
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import random
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from app.config import get_settings
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from .celery_app import celery_app
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from packages.adapters.sqlalchemy_impl.session import SessionLocal, build_session_factory
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from packages.adapters.sqlalchemy_impl.ingest_job_repository import SQLAlchemyIngestJobRepository
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from packages.adapters.sqlalchemy_impl.asset_repository import SQLAlchemyAssetRepository
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from packages.adapters.sqlalchemy_impl.classification_job_repository import SQLAlchemyClassificationJobRepository
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from packages.domain import Asset, AssetClassification, ClassificationJob, ClassificationJobStatus, IngestJobStatus
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settings = get_settings()
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if SessionLocal is None:
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build_session_factory(settings.database_url)
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@celery_app.task(name="worker.healthcheck")
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def healthcheck() -> dict:
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return {"ok": True, "service": "worker"}
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@celery_app.task(name="worker.ingest_asset")
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def ingest_asset(job_id: str) -> dict:
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session = SessionLocal()
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try:
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ingest_repo = SQLAlchemyIngestJobRepository(session)
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asset_repo = SQLAlchemyAssetRepository(session)
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classification_repo = SQLAlchemyClassificationJobRepository(session)
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job = ingest_repo.get(job_id)
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if job is None:
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return {"ok": False, "error": f"job {job_id} not found"}
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job.status = IngestJobStatus.PROCESSING
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job.updated_at = datetime.now(timezone.utc)
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ingest_repo.update(job)
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storage_key = job.storage_key
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filename = storage_key.split("/")[-1]
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lower_name = filename.lower()
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if lower_name.endswith((".mp4", ".mov", ".avi", ".mkv")):
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mime_type = "video/mp4"
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elif lower_name.endswith((".mp3", ".wav", ".aac")):
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mime_type = "audio/mpeg"
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elif lower_name.endswith((".jpg", ".jpeg")):
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mime_type = "image/jpeg"
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elif lower_name.endswith((".png", ".webp", ".gif")):
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mime_type = "image/png"
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else:
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mime_type = "application/octet-stream"
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asset = Asset.create(
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workspace_id=job.workspace_id,
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project_id=job.project_id,
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library_id=job.library_id,
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name=filename,
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storage_key=storage_key,
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mime_type=mime_type,
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metadata={"source": "ingest_task", "auto_classification": "queued"},
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)
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asset_repo.create(asset)
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job.status = IngestJobStatus.COMPLETED
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job.result_asset_id = asset.id
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job.updated_at = datetime.now(timezone.utc)
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ingest_repo.update(job)
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classification_job = ClassificationJob.create(
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workspace_id=job.workspace_id,
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project_id=job.project_id,
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asset_id=asset.id,
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)
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classification_repo.create(classification_job)
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celery_app.send_task("worker.classify_asset", args=[classification_job.id])
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return {
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"ok": True,
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"job_id": job.id,
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"asset_id": asset.id,
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"classification_job_id": classification_job.id,
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}
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except Exception as error:
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try:
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ingest_repo = SQLAlchemyIngestJobRepository(session)
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job = ingest_repo.get(job_id)
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if job is not None:
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job.status = IngestJobStatus.FAILED
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job.error_message = str(error)
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job.updated_at = datetime.now(timezone.utc)
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ingest_repo.update(job)
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except Exception:
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pass
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return {"ok": False, "job_id": job_id, "error": str(error)}
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finally:
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session.close()
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@celery_app.task(name="worker.classify_asset")
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def classify_asset(job_id: str) -> dict:
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session = SessionLocal()
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try:
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classification_repo = SQLAlchemyClassificationJobRepository(session)
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asset_repo = SQLAlchemyAssetRepository(session)
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job = classification_repo.get(job_id)
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if job is None:
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return {"ok": False, "error": f"classification job {job_id} not found"}
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job.status = ClassificationJobStatus.PROCESSING
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job.updated_at = datetime.now(timezone.utc)
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classification_repo.update(job)
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asset = asset_repo.get(job.asset_id)
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if asset is None:
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raise ValueError(f"asset {job.asset_id} not found")
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name = asset.name.lower()
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if any(token in name for token in ["food", "meal", "cook"]):
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classification = AssetClassification.FOOD.value
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elif any(token in name for token in ["person", "human", "portrait"]):
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classification = AssetClassification.PERSON.value
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elif any(token in name for token in ["music", "song", "audio"]):
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classification = AssetClassification.MUSIC.value
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elif any(token in name for token in ["product", "sku", "item"]):
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classification = AssetClassification.PRODUCT.value
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elif any(token in name for token in ["animal", "pet", "cat", "dog"]):
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classification = AssetClassification.ANIMAL.value
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elif any(token in name for token in ["sport", "run", "ball"]):
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classification = AssetClassification.SPORT.value
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elif any(token in name for token in ["tech", "phone", "device", "pc"]):
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classification = AssetClassification.TECH.value
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elif any(token in name for token in ["view", "travel", "mountain", "sea"]):
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classification = AssetClassification.SCENIC.value
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else:
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classification = AssetClassification.OTHER.value
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confidence = round(random.uniform(0.72, 0.96), 2)
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asset.metadata = {
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**asset.metadata,
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"classification": classification,
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"classification_confidence": confidence,
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"auto_classification": "completed",
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}
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asset_repo.update(asset)
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job.status = ClassificationJobStatus.COMPLETED
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job.classification = classification
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job.confidence = confidence
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job.updated_at = datetime.now(timezone.utc)
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classification_repo.update(job)
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return {
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"ok": True,
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"job_id": job.id,
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"asset_id": asset.id,
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"classification": classification,
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}
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except Exception as error:
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try:
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classification_repo = SQLAlchemyClassificationJobRepository(session)
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job = classification_repo.get(job_id)
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if job is not None:
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job.status = ClassificationJobStatus.FAILED
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job.error_message = str(error)
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job.updated_at = datetime.now(timezone.utc)
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classification_repo.update(job)
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except Exception:
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pass
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return {"ok": False, "job_id": job_id, "error": str(error)}
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finally:
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session.close()
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