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
2026-02-28 23:31:19 +02:00
parent 3b84ebb916
commit 85d98381df
93 changed files with 5940 additions and 0 deletions

View File

@@ -0,0 +1,88 @@
"""Celery tasks for PDF compression."""
import os
import logging
from app.extensions import celery
from app.services.compress_service import compress_pdf, PDFCompressionError
from app.services.storage_service import storage
from app.utils.sanitizer import cleanup_task_files
def _cleanup(task_id: str):
cleanup_task_files(task_id, keep_outputs=not storage.use_s3)
logger = logging.getLogger(__name__)
@celery.task(bind=True, name="app.tasks.compress_tasks.compress_pdf_task")
def compress_pdf_task(
self,
input_path: str,
task_id: str,
original_filename: str,
quality: str = "medium",
):
"""
Async task: Compress a PDF file.
Args:
input_path: Path to the uploaded PDF file
task_id: Unique task identifier
original_filename: Original filename for download
quality: Compression quality ("low", "medium", "high")
Returns:
dict with download_url, compression stats, and file info
"""
output_dir = os.path.join("/tmp/outputs", task_id)
os.makedirs(output_dir, exist_ok=True)
output_path = os.path.join(output_dir, f"{task_id}.pdf")
try:
self.update_state(
state="PROCESSING",
meta={"step": f"Compressing PDF ({quality} quality)..."},
)
# Compress using Ghostscript
stats = compress_pdf(input_path, output_path, quality)
self.update_state(state="PROCESSING", meta={"step": "Uploading result..."})
# Upload to S3
s3_key = storage.upload_file(output_path, task_id, folder="outputs")
# Generate download filename
name_without_ext = os.path.splitext(original_filename)[0]
download_name = f"{name_without_ext}_compressed.pdf"
download_url = storage.generate_presigned_url(
s3_key, original_filename=download_name
)
result = {
"status": "completed",
"download_url": download_url,
"filename": download_name,
"original_size": stats["original_size"],
"compressed_size": stats["compressed_size"],
"reduction_percent": stats["reduction_percent"],
}
_cleanup(task_id)
logger.info(
f"Task {task_id}: PDF compression completed — "
f"{stats['reduction_percent']}% reduction"
)
return result
except PDFCompressionError as e:
logger.error(f"Task {task_id}: Compression error — {e}")
_cleanup(task_id)
return {"status": "failed", "error": str(e)}
except Exception as e:
logger.error(f"Task {task_id}: Unexpected error — {e}")
_cleanup(task_id)
return {"status": "failed", "error": "An unexpected error occurred."}