from fastapi import FastAPI, Request from fastapi.middleware.cors import CORSMiddleware import json import os import time from datetime import datetime app = FastAPI() # Enable CORS for the editor app.add_middleware( CORSMiddleware, allow_origins=["*"], allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) # Directory to store collected datasets (simulating HF Dataset storage) DATA_DIR = "/app/data" os.makedirs(DATA_DIR, exist_ok=True) @app.get("/") async def root(): return {"message": "Creative Engine Data Collector is running"} @app.post("/collect") async def collect_data(request: Request): try: data = await request.json() # We expect: { "scripts": [...], "metadata": { "engineVersion": "0.1.2", ... } } timestamp = int(time.time()) filename = f"ces_collection_{timestamp}.json" filepath = os.path.join(DATA_DIR, filename) # Save to local disk with open(filepath, "w", encoding="utf-8") as f: json.dump(data, f, ensure_ascii=False, indent=2) # Optional: Push to Hugging Face Hub if token is present hf_token = os.environ.get("HF_TOKEN") dataset_repo = "Carley1234/DatosdeentrenamientodeCreativeCode" if hf_token: try: from huggingface_hub import HfApi api = HfApi() api.upload_file( path_or_fileobj=filepath, path_in_repo=f"data/{filename}", repo_id=dataset_repo, repo_type="dataset", token=hf_token ) print(f"Successfully pushed {filename} to {dataset_repo}") except Exception as hf_err: print(f"Failed to push to HF Hub: {hf_err}") print(f"Collected data from engine version {data.get('metadata', {}).get('engineVersion')}") return {"status": "success", "file": filename} except Exception as e: print(f"Error collecting data: {e}") return {"status": "error", "message": str(e)} if __name__ == "__main__": import uvicorn uvicorn.run(app, host="0.0.0.0", port=7860)