Files
SaaS-PDF/backend/app/tasks/video_tasks.py
Your Name 0ad2ba0f02 ميزة: تحديث صفحات الخصوصية والشروط مع تاريخ آخر تحديث ثابت وفترة احتفاظ ديناميكية بالملفات
ميزة: إضافة خدمة تحليلات لتكامل Google Analytics

اختبار: تحديث اختبارات خدمة واجهة برمجة التطبيقات (API) لتعكس تغييرات نقاط النهاية

إصلاح: تعديل خدمة واجهة برمجة التطبيقات (API) لدعم تحميل ملفات متعددة ومصادقة المستخدم

ميزة: تطبيق مخزن مصادقة باستخدام Zustand لإدارة المستخدمين

إصلاح: تحسين إعدادات Nginx لتعزيز الأمان ودعم التحليلات
2026-03-07 11:14:05 +02:00

152 lines
4.2 KiB
Python

"""Celery tasks for video processing."""
import os
import logging
from flask import current_app
from app.extensions import celery
from app.services.video_service import video_to_gif, VideoProcessingError
from app.services.storage_service import storage
from app.services.task_tracking_service import finalize_task_tracking
from app.utils.sanitizer import cleanup_task_files
def _cleanup(task_id: str):
cleanup_task_files(task_id, keep_outputs=not storage.use_s3)
def _get_output_dir(task_id: str) -> str:
"""Resolve output directory from app config."""
output_dir = os.path.join(current_app.config["OUTPUT_FOLDER"], task_id)
os.makedirs(output_dir, exist_ok=True)
return output_dir
def _finalize_task(
task_id: str,
user_id: int | None,
original_filename: str,
result: dict,
usage_source: str,
api_key_id: int | None,
celery_task_id: str | None,
):
"""Persist optional history and cleanup task files."""
finalize_task_tracking(
user_id=user_id,
tool="video-to-gif",
original_filename=original_filename,
result=result,
usage_source=usage_source,
api_key_id=api_key_id,
celery_task_id=celery_task_id,
)
_cleanup(task_id)
return result
logger = logging.getLogger(__name__)
@celery.task(bind=True, name="app.tasks.video_tasks.create_gif_task")
def create_gif_task(
self,
input_path: str,
task_id: str,
original_filename: str,
start_time: float = 0,
duration: float = 5,
fps: int = 10,
width: int = 480,
user_id: int | None = None,
usage_source: str = "web",
api_key_id: int | None = None,
):
"""
Async task: Convert video clip to animated GIF.
Args:
input_path: Path to the uploaded video
task_id: Unique task identifier
original_filename: Original filename for download
start_time: Start time in seconds
duration: Duration in seconds
fps: Frames per second
width: Output width in pixels
Returns:
dict with download_url and GIF info
"""
output_dir = _get_output_dir(task_id)
output_path = os.path.join(output_dir, f"{task_id}.gif")
try:
self.update_state(
state="PROCESSING",
meta={"step": "Creating GIF from video..."},
)
stats = video_to_gif(
input_path, output_path,
start_time=start_time,
duration=duration,
fps=fps,
width=width,
)
self.update_state(state="PROCESSING", meta={"step": "Uploading result..."})
s3_key = storage.upload_file(output_path, task_id, folder="outputs")
name_without_ext = os.path.splitext(original_filename)[0]
download_name = f"{name_without_ext}.gif"
download_url = storage.generate_presigned_url(
s3_key, original_filename=download_name
)
result = {
"status": "completed",
"download_url": download_url,
"filename": download_name,
"output_size": stats["output_size"],
"duration": stats["duration"],
"fps": stats["fps"],
"width": stats["width"],
"height": stats["height"],
}
logger.info(f"Task {task_id}: Video→GIF creation completed")
return _finalize_task(
task_id,
user_id,
original_filename,
result,
usage_source,
api_key_id,
self.request.id,
)
except VideoProcessingError as e:
logger.error(f"Task {task_id}: Video error — {e}")
return _finalize_task(
task_id,
user_id,
original_filename,
{"status": "failed", "error": str(e)},
usage_source,
api_key_id,
self.request.id,
)
except Exception as e:
logger.error(f"Task {task_id}: Unexpected error — {e}")
return _finalize_task(
task_id,
user_id,
original_filename,
{"status": "failed", "error": "An unexpected error occurred."},
usage_source,
api_key_id,
self.request.id,
)