feat: Initialize frontend with React, Vite, and Tailwind CSS
- 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.
This commit is contained in:
Your Name
1
backend/app/tasks/__init__.py
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1
backend/app/tasks/__init__.py
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"""Celery tasks for async file processing."""
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88
backend/app/tasks/compress_tasks.py
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88
backend/app/tasks/compress_tasks.py
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"""Celery tasks for PDF compression."""
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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.compress_service import compress_pdf, PDFCompressionError
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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.compress_tasks.compress_pdf_task")
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def compress_pdf_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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quality: str = "medium",
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):
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"""
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Async task: Compress a PDF file.
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Args:
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input_path: Path to the uploaded PDF file
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task_id: Unique task identifier
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original_filename: Original filename for download
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quality: Compression quality ("low", "medium", "high")
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Returns:
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dict with download_url, compression stats, and file 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}.pdf")
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try:
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self.update_state(
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state="PROCESSING",
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meta={"step": f"Compressing PDF ({quality} quality)..."},
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)
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# Compress using Ghostscript
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stats = compress_pdf(input_path, output_path, quality)
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self.update_state(state="PROCESSING", meta={"step": "Uploading result..."})
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# Upload to S3
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s3_key = storage.upload_file(output_path, task_id, folder="outputs")
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# Generate download filename
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name_without_ext = os.path.splitext(original_filename)[0]
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download_name = f"{name_without_ext}_compressed.pdf"
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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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"original_size": stats["original_size"],
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"compressed_size": stats["compressed_size"],
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"reduction_percent": stats["reduction_percent"],
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}
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_cleanup(task_id)
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logger.info(
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f"Task {task_id}: PDF compression completed — "
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f"{stats['reduction_percent']}% reduction"
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)
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return result
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except PDFCompressionError as e:
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logger.error(f"Task {task_id}: Compression 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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128
backend/app/tasks/convert_tasks.py
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128
backend/app/tasks/convert_tasks.py
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"""Celery tasks for PDF conversion (PDF↔Word)."""
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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.pdf_service import pdf_to_word, word_to_pdf, PDFConversionError
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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 with local-aware flag."""
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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.convert_tasks.convert_pdf_to_word")
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def convert_pdf_to_word(self, input_path: str, task_id: str, original_filename: str):
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"""
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Async task: Convert PDF to Word document.
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Args:
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input_path: Path to the uploaded PDF file
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task_id: Unique task identifier
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original_filename: Original filename for download
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Returns:
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dict with download_url and file info
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"""
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output_dir = os.path.join("/tmp/outputs", task_id)
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try:
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self.update_state(state="PROCESSING", meta={"step": "Converting PDF to Word..."})
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# Convert using LibreOffice
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output_path = pdf_to_word(input_path, output_dir)
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self.update_state(state="PROCESSING", meta={"step": "Uploading result..."})
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# Upload to S3
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s3_key = storage.upload_file(output_path, task_id, folder="outputs")
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# Generate download filename
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name_without_ext = os.path.splitext(original_filename)[0]
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download_name = f"{name_without_ext}.docx"
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# Generate presigned URL
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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": os.path.getsize(output_path),
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}
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# Cleanup local files
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_cleanup(task_id)
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logger.info(f"Task {task_id}: PDF→Word conversion completed")
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return result
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except PDFConversionError as e:
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logger.error(f"Task {task_id}: Conversion 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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@celery.task(bind=True, name="app.tasks.convert_tasks.convert_word_to_pdf")
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def convert_word_to_pdf(self, input_path: str, task_id: str, original_filename: str):
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"""
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Async task: Convert Word document to PDF.
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Args:
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input_path: Path to the uploaded Word file
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task_id: Unique task identifier
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original_filename: Original filename for download
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Returns:
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dict with download_url and file info
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"""
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output_dir = os.path.join("/tmp/outputs", task_id)
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try:
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self.update_state(state="PROCESSING", meta={"step": "Converting Word to PDF..."})
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output_path = word_to_pdf(input_path, output_dir)
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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}.pdf"
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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": os.path.getsize(output_path),
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}
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_cleanup(task_id)
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logger.info(f"Task {task_id}: Word→PDF conversion completed")
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return result
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except PDFConversionError as e:
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logger.error(f"Task {task_id}: Conversion 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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160
backend/app/tasks/image_tasks.py
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160
backend/app/tasks/image_tasks.py
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"""Celery tasks for image 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.image_service import convert_image, resize_image, ImageProcessingError
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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.image_tasks.convert_image_task")
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def convert_image_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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output_format: str,
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quality: int = 85,
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):
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"""
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Async task: Convert an image to a different format.
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Args:
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input_path: Path to the uploaded image
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task_id: Unique task identifier
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original_filename: Original filename for download
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output_format: Target format ("jpg", "png", "webp")
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quality: Output quality 1-100
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Returns:
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dict with download_url and conversion stats
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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}.{output_format}")
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try:
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self.update_state(
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state="PROCESSING",
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meta={"step": f"Converting image to {output_format.upper()}..."},
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)
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stats = convert_image(input_path, output_path, output_format, quality)
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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}.{output_format}"
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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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"original_size": stats["original_size"],
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"converted_size": stats["converted_size"],
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"width": stats["width"],
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"height": stats["height"],
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"format": stats["format"],
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}
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_cleanup(task_id)
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logger.info(f"Task {task_id}: Image conversion to {output_format} completed")
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return result
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except ImageProcessingError as e:
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logger.error(f"Task {task_id}: Image 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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@celery.task(bind=True, name="app.tasks.image_tasks.resize_image_task")
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def resize_image_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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width: int | None = None,
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height: int | None = None,
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quality: int = 85,
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):
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"""
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Async task: Resize an image.
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Args:
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input_path: Path to the uploaded image
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task_id: Unique task identifier
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original_filename: Original filename for download
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width: Target width
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height: Target height
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quality: Output quality 1-100
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Returns:
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dict with download_url and resize info
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"""
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ext = os.path.splitext(original_filename)[1].lstrip(".")
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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}.{ext}")
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try:
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self.update_state(
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state="PROCESSING",
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meta={"step": "Resizing image..."},
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)
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stats = resize_image(input_path, output_path, width, height, quality)
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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}_resized.{ext}"
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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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"original_width": stats["original_width"],
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"original_height": stats["original_height"],
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"new_width": stats["new_width"],
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"new_height": stats["new_height"],
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}
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_cleanup(task_id)
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logger.info(f"Task {task_id}: Image resize completed")
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return result
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except ImageProcessingError as e:
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logger.error(f"Task {task_id}: Image 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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96
backend/app/tasks/video_tasks.py
Normal file
96
backend/app/tasks/video_tasks.py
Normal file
@@ -0,0 +1,96 @@
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"""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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Reference in New Issue
Block a user