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xiaoxia-saas/apps/worker/worker_app/tasks/ingest.py
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refactor: remove all workspace_id references from codebase
- Remove workspace_id from Pydantic models in project_management routes
- Remove workspace_id from SQLAlchemy and SQLite project management repos
- Remove workspace_id from worker tasks (storage keys, entity creation)
- Remove workspace_id from video dedup and title usage modules
- Remove workspace_id from generation and ingest worker tasks
- Clean workspace_id from all test files and scripts
- Remove workspace-specific test files (list_workspaces, workspace repos)

Task: #14 workspace_id 残留清理
2026-06-27 22:52:09 +08:00

205 lines
6.7 KiB
Python
Executable File

import subprocess
from datetime import datetime, timezone
from typing import Optional
from celery import Celery
from celery.app.task import Task
from celery.utils.log import get_task_logger
from worker_app.celery_app import celery_app
from worker_app.core.asset_types import infer_mime_type_from_storage_key
from worker_app.db import SessionLocal
from packages.adapters.sqlalchemy_impl import (
SQLAlchemyAssetRepository,
SQLAlchemyIngestJobRepository,
)
from packages.domain import Asset, AssetStatus, IngestJobStatus
logger = get_task_logger(__name__)
def extract_media_metadata(file_url: str, media_type: str) -> dict:
"""
提取媒体文件的元数据。
Args:
file_url: 媒体文件 URL 或本地路径
media_type: 媒体类型 (video, audio, image)
Returns:
提取的元数据字典,失败时返回空字典
"""
metadata = {}
try:
if media_type == "video":
# 使用 ffprobe 提取视频元数据
cmd = [
"ffprobe",
"-v", "quiet",
"-print_format", "json",
"-show_format",
"-show_streams",
file_url,
]
result = subprocess.run(
cmd,
capture_output=True,
text=True,
timeout=30,
)
if result.returncode == 0:
import json as json_lib
probe_data = json_lib.loads(result.stdout)
# 提取视频流信息
for stream in probe_data.get("streams", []):
if stream.get("codec_type") == "video":
metadata["width"] = int(stream.get("width", 0))
metadata["height"] = int(stream.get("height", 0))
metadata["codec"] = stream.get("codec_name", "")
metadata["fps"] = eval(stream.get("r_frame_rate", "0/1")) if stream.get("r_frame_rate") else 0
break
# 提取格式信息
format_info = probe_data.get("format", {})
metadata["duration"] = float(format_info.get("duration", 0))
metadata["size_bytes"] = int(format_info.get("size", 0))
metadata["bitrate"] = int(format_info.get("bit_rate", 0))
elif media_type == "image":
# 使用 Pillow 提取图片元数据
try:
from PIL import Image
with Image.open(file_url) as img:
metadata["width"] = img.width
metadata["height"] = img.height
metadata["format"] = img.format
metadata["mode"] = img.mode
if hasattr(img, "_getexif") and img._getexif():
exif = img._getexif()
if exif:
metadata["exif"] = {k: str(v) for k, v in exif.items() if isinstance(v, (str, int, float))}
except ImportError:
logger.warning("Pillow not available for image metadata extraction")
except Exception as e:
logger.warning(f"Failed to extract image metadata: {e}")
except subprocess.TimeoutExpired:
logger.warning(f"Timeout extracting metadata from {file_url}")
except FileNotFoundError:
logger.warning(f"ffprobe not found, cannot extract video metadata")
except Exception as e:
logger.warning(f"Failed to extract metadata: {e}")
return metadata
@celery_app.task(name="worker.ingest_asset")
def ingest_asset(job_id: str) -> dict:
"""
Ingest asset task.
Steps:
1. Fetch IngestJob from repository
2. Extract metadata from storage_key
3. Create Asset entity
4. Update IngestJob status to COMPLETED
5. Return result
"""
db = SessionLocal()
try:
job_repo = SQLAlchemyIngestJobRepository(db)
asset_repo = SQLAlchemyAssetRepository(db)
job = job_repo.get(job_id)
if job is None:
return {"status": "failed", "error": "job not found"}
# Update job status to PROCESSING
job.status = IngestJobStatus.PROCESSING
job.updated_at = datetime.now(timezone.utc)
job_repo.update(job)
db.commit()
# Extract real metadata from media file
filename = job.storage_key.split("/")[-1]
mime_type = infer_mime_type_from_storage_key(job.storage_key)
# Determine media type from mime_type
media_type = "video"
if mime_type.startswith("image/"):
media_type = "image"
elif mime_type.startswith("audio/"):
media_type = "audio"
# Extract metadata (returns empty dict on failure)
storage_url = job.storage_key # Assuming storage_key is usable as URL/path
metadata = extract_media_metadata(storage_url, media_type)
# Fill in defaults if metadata extraction failed
if not metadata:
metadata = {
"duration": 0,
"width": 0,
"height": 0,
"size_bytes": 0,
}
# Create Asset
asset = Asset.create(
project_id=job.project_id,
library_id=job.library_id,
name=filename,
storage_key=job.storage_key,
mime_type=mime_type,
metadata=metadata,
file_size=int(metadata.get("size_bytes", 0)),
duration=float(metadata.get("duration", 0)),
width=int(metadata.get("width", 0)),
height=int(metadata.get("height", 0)),
status=AssetStatus.READY,
)
asset_repo.create(asset)
# Update job status to COMPLETED
job.status = IngestJobStatus.COMPLETED
job.result_asset_id = asset.id
job.updated_at = datetime.now(timezone.utc)
job_repo.update(job)
db.commit()
return {
"status": "completed",
"job_id": job.id,
"asset_id": asset.id,
}
except Exception as e:
db.rollback()
logger.error(f"Failed to ingest asset {job_id}: {e}")
# Update job status to FAILED
try:
job_repo = SQLAlchemyIngestJobRepository(db)
job = job_repo.get(job_id)
if job:
job.status = IngestJobStatus.FAILED
job.error_message = str(e)
job.updated_at = datetime.now(timezone.utc)
job_repo.update(job)
db.commit()
except Exception:
db.rollback()
return {
"status": "failed",
"job_id": job_id,
"error": str(e),
}
finally:
db.close()