217 lines
7.3 KiB
Python
217 lines
7.3 KiB
Python
"""
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Minimal HTTP load balancer for prefill and decode servers for testing.
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"""
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import asyncio
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import random
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import urllib
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from itertools import chain
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import aiohttp
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import orjson
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import uvicorn
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from fastapi import FastAPI, HTTPException
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from fastapi.responses import ORJSONResponse, Response, StreamingResponse
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class MiniLoadBalancer:
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def __init__(self, prefill_servers, decode_servers):
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self.prefill_servers = prefill_servers
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self.decode_servers = decode_servers
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def select_pair(self):
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return random.choice(self.prefill_servers), random.choice(self.decode_servers)
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async def generate(
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self, modified_request, prefill_server, decode_server
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) -> ORJSONResponse:
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async with aiohttp.ClientSession() as session:
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tasks = [
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session.post(f"{prefill_server}/generate", json=modified_request),
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session.post(f"{decode_server}/generate", json=modified_request),
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]
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# Wait for both responses to complete. Prefill should end first.
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prefill_response, decode_response = await asyncio.gather(*tasks)
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return ORJSONResponse(
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content=await decode_response.json(),
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status_code=decode_response.status,
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)
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async def generate_stream(self, modified_request, prefill_server, decode_server):
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async def stream_results():
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async with aiohttp.ClientSession(
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timeout=aiohttp.ClientTimeout(
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total=3600
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) # Add timeout for request reliability
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) as session:
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try:
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# Create the tasks for both prefill and decode requests
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tasks = [
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session.post(
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f"{prefill_server}/generate", json=modified_request
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),
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session.post(
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f"{decode_server}/generate", json=modified_request
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),
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]
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# Wait for both responses to complete. Since this is streaming, they return immediately.
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prefill_response, decode_response = await asyncio.gather(*tasks)
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async for chunk in decode_response.content:
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yield chunk
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except Exception as e:
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error_msg = {
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"error": {"message": f"Stream processing error: {str(e)}"}
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}
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yield b"data: " + orjson.dumps(
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error_msg, option=orjson.OPT_NON_STR_KEYS
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) + b"\n\n"
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finally:
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if prefill_response is not None:
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await prefill_response.release()
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return StreamingResponse(
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stream_results(),
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media_type="text/event-stream",
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)
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app = FastAPI()
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load_balancer = None
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@app.get("/health")
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async def health_check():
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return Response(status_code=200)
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@app.get("/health_generate")
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async def health_check():
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prefill_servers, decode_servers = (
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load_balancer.prefill_servers,
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load_balancer.decode_servers,
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)
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async with aiohttp.ClientSession() as session:
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# Create the tasks
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tasks = []
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for server in chain(prefill_servers, decode_servers):
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tasks.append(session.post(f"{server}/health_generate"))
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for i, response in enumerate(asyncio.as_completed(tasks)):
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await response
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return Response(status_code=200)
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@app.post("/flush_cache")
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async def flush_cache():
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prefill_servers, decode_servers = (
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load_balancer.prefill_servers,
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load_balancer.decode_servers,
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)
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async with aiohttp.ClientSession() as session:
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# Create the tasks
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tasks = []
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for server in chain(prefill_servers, decode_servers):
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tasks.append(session.post(f"{server}/flush_cache"))
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for i, response in enumerate(asyncio.as_completed(tasks)):
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await response
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return Response(status_code=200)
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@app.get("/get_server_info")
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async def get_server_info():
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prefill_servers, decode_servers = (
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load_balancer.prefill_servers,
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load_balancer.decode_servers,
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)
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prefill_infos = []
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decode_infos = []
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async with aiohttp.ClientSession() as session:
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for server in chain(prefill_servers):
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server_info = await session.get(f"{server}/get_server_info")
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prefill_infos.append(await server_info.json())
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for server in chain(decode_servers):
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server_info = await session.get(f"{server}/get_server_info")
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decode_infos.append(await server_info.json())
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return {"prefill": prefill_infos, "decode": decode_infos}
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@app.get("/get_model_info")
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async def get_model_info():
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# Dummy model information
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model_info = {
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"model_path": "/path/to/dummy/model",
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"tokenizer_path": "/path/to/dummy/tokenizer",
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"is_generation": True,
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"preferred_sampling_params": {"temperature": 0.7, "max_new_tokens": 128},
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}
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return ORJSONResponse(content=model_info)
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@app.post("/generate")
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async def handle_generate_request(request_data: dict):
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prefill_server, decode_server = load_balancer.select_pair()
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# Parse and transform prefill_server for bootstrap data
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parsed_url = urllib.parse.urlparse(prefill_server)
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hostname = parsed_url.hostname
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modified_request = request_data.copy()
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modified_request.update(
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{
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"bootstrap_host": hostname,
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"bootstrap_room": random.randint(0, 2**63 - 1),
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}
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)
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if request_data.get("stream", False):
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return await load_balancer.generate_stream(
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modified_request, prefill_server, decode_server
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)
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else:
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return await load_balancer.generate(
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modified_request, prefill_server, decode_server
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)
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@app.get("/v1/models")
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async def get_models():
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prefill_server = load_balancer.prefill_servers[0] # Get the first prefill server
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async with aiohttp.ClientSession() as session:
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try:
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response = await session.get(f"{prefill_server}/v1/models")
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if response.status != 200:
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raise HTTPException(
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status_code=response.status,
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detail=f"Prefill server error: Status {response.status}",
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)
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return ORJSONResponse(content=await response.json())
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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def run(prefill_addrs, decode_addrs, host, port):
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global load_balancer
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load_balancer = MiniLoadBalancer(prefill_addrs, decode_addrs)
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uvicorn.run(app, host=host, port=port)
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if __name__ == "__main__":
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import argparse
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parser = argparse.ArgumentParser(description="Mini Load Balancer Server")
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parser.add_argument(
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"--prefill", required=True, help="Comma-separated URLs for prefill servers"
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)
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parser.add_argument(
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"--decode", required=True, help="Comma-separated URLs for decode servers"
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)
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parser.add_argument(
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"--host", default="0.0.0.0", help="Host to bind the server (default: 0.0.0.0)"
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)
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parser.add_argument(
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"--port", type=int, default=8000, help="Port to bind the server (default: 8000)"
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)
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args = parser.parse_args()
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run(args.prefill.split(","), args.decode.split(","), args.host, args.port)
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