85d98381df
- Set up main entry point for React application. - Create About, Home, NotFound, Privacy, and Terms pages with SEO support. - Implement API service for file uploads and task management. - Add global styles using Tailwind CSS. - Create utility functions for SEO and text processing. - Configure Vite for development and production builds. - Set up Nginx configuration for serving frontend and backend. - Add scripts for cleanup of expired files and sitemap generation. - Implement deployment script for production environment.
97 lines
2.8 KiB
Python
97 lines
2.8 KiB
Python
"""Celery tasks for video processing."""
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import os
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import logging
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from app.extensions import celery
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from app.services.video_service import video_to_gif, VideoProcessingError
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from app.services.storage_service import storage
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from app.utils.sanitizer import cleanup_task_files
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def _cleanup(task_id: str):
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cleanup_task_files(task_id, keep_outputs=not storage.use_s3)
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logger = logging.getLogger(__name__)
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@celery.task(bind=True, name="app.tasks.video_tasks.create_gif_task")
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def create_gif_task(
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self,
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input_path: str,
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task_id: str,
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original_filename: str,
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start_time: float = 0,
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duration: float = 5,
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fps: int = 10,
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width: int = 480,
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):
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"""
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Async task: Convert video clip to animated GIF.
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Args:
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input_path: Path to the uploaded video
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task_id: Unique task identifier
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original_filename: Original filename for download
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start_time: Start time in seconds
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duration: Duration in seconds
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fps: Frames per second
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width: Output width in pixels
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Returns:
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dict with download_url and GIF info
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"""
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output_dir = os.path.join("/tmp/outputs", task_id)
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os.makedirs(output_dir, exist_ok=True)
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output_path = os.path.join(output_dir, f"{task_id}.gif")
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try:
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self.update_state(
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state="PROCESSING",
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meta={"step": "Creating GIF from video..."},
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)
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stats = video_to_gif(
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input_path, output_path,
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start_time=start_time,
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duration=duration,
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fps=fps,
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width=width,
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)
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self.update_state(state="PROCESSING", meta={"step": "Uploading result..."})
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s3_key = storage.upload_file(output_path, task_id, folder="outputs")
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name_without_ext = os.path.splitext(original_filename)[0]
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download_name = f"{name_without_ext}.gif"
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download_url = storage.generate_presigned_url(
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s3_key, original_filename=download_name
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)
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result = {
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"status": "completed",
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"download_url": download_url,
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"filename": download_name,
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"output_size": stats["output_size"],
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"duration": stats["duration"],
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"fps": stats["fps"],
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"width": stats["width"],
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"height": stats["height"],
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}
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_cleanup(task_id)
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logger.info(f"Task {task_id}: Video→GIF creation completed")
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return result
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except VideoProcessingError as e:
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logger.error(f"Task {task_id}: Video error — {e}")
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_cleanup(task_id)
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return {"status": "failed", "error": str(e)}
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except Exception as e:
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logger.error(f"Task {task_id}: Unexpected error — {e}")
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_cleanup(task_id)
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return {"status": "failed", "error": "An unexpected error occurred."}
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