Create app.py
Browse files
app.py
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from fastapi import FastAPI, UploadFile, File, HTTPException, BackgroundTasks, Query
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from fastapi.responses import FileResponse, JSONResponse
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from fastapi.middleware.cors import CORSMiddleware
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import os
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import uuid
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import time
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from typing import Dict, List, Optional
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import threading
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# Import processing functions and variables
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from processing_logic import (
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processing_status,
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uploaded_mp4s,
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log_message,
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process_hf_files_background,
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UPLOAD_DIRECTORY,
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MP4_OUTPUT_FOLDER,
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hf_api,
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DEFAULT_RAR_LIMIT
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)
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app = FastAPI(title="MP4 Processing API", description="API for uploading, processing, and downloading MP4 files")
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# Configure CORS
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # Allows all origins
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allow_credentials=True,
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allow_methods=["*"], # Allows all methods
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allow_headers=["*"], # Allows all headers
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)
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processing_thread = None
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# ==== API ENDPOINTS ====
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def save_file(uploaded_file: UploadFile, save_path: str):
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os.makedirs(os.path.dirname(save_path), exist_ok=True)
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with open(save_path, "wb") as f:
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shutil.copyfileobj(uploaded_file.file, f)
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# === ROUTES ===
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@app.get("/")
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def root():
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return {"message": "FastAPI Florence-2 backend"}
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@app.post("/upload/")
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async def upload_file(file: UploadFile = File(...)):
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"""Uploads a file and stores it by filename inside the upload folder"""
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save_path = os.path.join(MP4_UPLOAD_FOLDER, file.filename)
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save_file(file, save_path)
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return {"status": "uploaded", "filename": file.filename}
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@app.get("/list")
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async def list_uploaded_files():
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"""List uploaded MP4 files"""
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files = []
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if os.path.exists(MP4_UPLOAD_FOLDER):
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for file in os.listdir(MP4_UPLOAD_FOLDER):
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if file.lower().endswith(".mp4"):
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files.append(file)
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return JSONResponse(content=files)
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@app.get("/download/{mp4_path:path}")
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async def download_file(mp4_path: str):
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"""
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Download any MP4 under processed_mp4s, including nested course folders.
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e.g. GET /download/MDS_CGAdventure_DownloadPirate.com/1.mp4
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"""
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# Compose the full file path
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full_path = os.path.join(MP4_OUTPUT_FOLDER, mp4_path)
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# Security: Prevent escaping outside of MP4_OUTPUT_FOLDER
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full_path = os.path.normpath(full_path)
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if not full_path.startswith(os.path.abspath(MP4_OUTPUT_FOLDER)):
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raise HTTPException(status_code=400, detail="Invalid path")
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if not os.path.exists(full_path) or not full_path.lower().endswith(".mp4"):
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raise HTTPException(status_code=404, detail="File not found")
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return FileResponse(path=full_path, filename=os.path.basename(full_path), media_type="video/mp4")
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@app.get("/courses")
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async def list_courses():
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"""List all unique course folder names based on extracted MP4 paths."""
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course_folders = set()
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if os.path.exists(MP4_OUTPUT_FOLDER):
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for root, dirs, files in os.walk(MP4_OUTPUT_FOLDER):
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for file in files:
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if file.lower().endswith(".mp4"):
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rel_path = os.path.relpath(os.path.join(root, file), MP4_OUTPUT_FOLDER)
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course_folder = os.path.dirname(rel_path)
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if course_folder:
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course_folders.add(course_folder)
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return JSONResponse(content={"courses": sorted(course_folders), "total": len(course_folders)})
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@app.get("/images/{course_folder:path}")
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async def list_mp4s_in_course(course_folder: str):
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"""List MP4s available for a specific course folder"""
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course_path = os.path.join(MP4_OUTPUT_FOLDER, course_folder)
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if not os.path.exists(course_path):
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raise HTTPException(status_code=404, detail="Course folder not found")
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mp4s = []
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for file in os.listdir(course_path):
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if file.lower().endswith(".mp4"):
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mp4s.append(file)
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return JSONResponse(content=mp4s)
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@app.get("/")
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async def root():
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"""API root endpoint"""
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return {
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"message": "MP4 Processing API",
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"version": "1.0.0",
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"endpoints": {
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"upload": "POST /upload - Upload MP4 file",
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"download": "GET /download/{mp4_id} - Download MP4 file",
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"delete": "DELETE /delete/{mp4_id} - Delete MP4 file",
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"list": "GET /mp4s - List all MP4 files",
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"start_processing": "POST /process/start - Start HF processing",
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"processing_status": "GET /process/status - Get processing status",
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"stop_processing": "POST /process/stop - Stop processing"
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}
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}
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@app.on_event("startup")
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async def startup_event():
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"""Run the processing loop in the background when the API starts"""
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global processing_thread
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if not (processing_thread and processing_thread.is_alive()):
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# log_message("🚀 Starting RAR extraction, frame extraction, and vision analysis pipeline in background...")
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processing_thread = threading.Thread(target=process_hf_files_background)
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processing_thread.daemon = True
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processing_thread.start()
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=8000)
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