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Browse files- handler.py +83 -7
handler.py
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#
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if __name__ == "__main__":
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from typing import Dict, List, Any
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import json
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import base64
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import asyncio
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import uvicorn
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from threading import Thread
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import time
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class EndpointHandler:
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def __init__(self, path=""):
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"""Initialize the endpoint handler"""
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self.path = path
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self.app = None
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self.server_thread = None
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self._initialize_app()
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def _initialize_app(self):
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"""Initialize the FastAPI app"""
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try:
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from app import app
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self.app = app
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print("FastAPI app loaded successfully")
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except Exception as e:
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print(f"Error loading app: {e}")
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raise
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def __call__(self, data: Dict[str, Any]) -> Dict[str, Any]:
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"""
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Handle inference requests from HuggingFace
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This method gets called for each request
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"""
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try:
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# Start the FastAPI server if not already running
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if not self.server_thread or not self.server_thread.is_alive():
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self._start_server()
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# For now, return a simple response
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# The actual API calls will go through FastAPI endpoints
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return {
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"status": "success",
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"message": "FastAPI server is running",
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"endpoints": [
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"/health",
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"/extract_embeddings_batch",
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"/create_faiss_index",
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"/search_faiss"
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],
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"server_url": "http://0.0.0.0:8000"
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}
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except Exception as e:
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return {
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"status": "error",
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"message": str(e)
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}
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def _start_server(self):
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"""Start the FastAPI server in a background thread"""
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def run_server():
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try:
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uvicorn.run(
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self.app,
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host="0.0.0.0",
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port=8000,
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log_level="info"
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)
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except Exception as e:
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print(f"Server error: {e}")
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self.server_thread = Thread(target=run_server, daemon=True)
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self.server_thread.start()
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# Give the server time to start
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time.sleep(5)
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print("FastAPI server started in background thread")
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# Create the handler instance that HuggingFace expects
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def get_handler():
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return EndpointHandler()
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# For direct testing
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if __name__ == "__main__":
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handler = EndpointHandler()
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# Test the handler
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result = handler({"test": "data"})
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print(result)
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