Xiaoxia AI
66 lines
2.4 KiB
Python
66 lines
2.4 KiB
Python
from datetime import datetime, timezone
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from packages.adapters.sqlalchemy_impl import SQLAlchemyGeneratedVideoRepository, SQLAlchemyGenerationTaskRepository
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from packages.domain import GeneratedVideo, GenerationTaskStatus
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from worker_app.celery_app import celery_app
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from worker_app.db import SessionLocal
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@celery_app.task(name="worker.generate_video")
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def generate_video(task_id: str) -> dict:
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"""Generate a video result for a generation task.
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This is the production-safe Phase 7 baseline implementation. It consumes the
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task, records a generated-video placeholder, and keeps the task lifecycle
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moving end-to-end while the real FFmpeg composition engine is integrated.
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"""
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db = SessionLocal()
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task_repo = SQLAlchemyGenerationTaskRepository(db)
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video_repo = SQLAlchemyGeneratedVideoRepository(db)
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task = task_repo.get(task_id)
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if task is None:
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db.close()
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return {"status": "failed", "error": "generation task not found", "task_id": task_id}
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try:
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task.status = GenerationTaskStatus.RUNNING
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task.progress = 10.0
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task.started_at = task.started_at or datetime.now(timezone.utc)
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task_repo.update(task)
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output_name = f"generated-{task.id}.mp4"
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file_url = f"generated://workspaces/{task.workspace_id}/projects/{task.project_id}/tasks/{task.id}/{output_name}"
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video = GeneratedVideo.create(
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workspace_id=task.workspace_id,
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project_id=task.project_id,
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generation_task_id=task.id,
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name=output_name,
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file_url=file_url,
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file_size=0,
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duration=0.0,
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width=1920,
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height=1080,
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fps=25.0,
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thumbnail_url=None,
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)
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video_repo.create(video)
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task.status = GenerationTaskStatus.COMPLETED
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task.progress = 100.0
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task.result_count = 1
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task.error_message = ""
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task.completed_at = datetime.now(timezone.utc)
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task_repo.update(task)
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return {"status": "completed", "task_id": task.id, "video_id": video.id, "file_url": file_url}
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except Exception as error:
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task.status = GenerationTaskStatus.FAILED
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task.error_message = str(error)
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task.completed_at = datetime.now(timezone.utc)
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task_repo.update(task)
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return {"status": "failed", "task_id": task.id, "error": str(error)}
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finally:
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db.close()
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