107 lines
3.6 KiB
Python
107 lines
3.6 KiB
Python
import json
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import asyncio
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from fastapi import APIRouter, Body
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from fastapi.responses import StreamingResponse, Response
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from concurrent.futures import ThreadPoolExecutor
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from src.core import HistoryManager
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from src.core.startup import startup
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from src.utils.logging_config import setup_logger
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chat = APIRouter(prefix="/chat")
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logger = setup_logger("server-chat")
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# 创建线程池
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executor = ThreadPoolExecutor()
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refs_pool = {}
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@chat.get("/")
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async def chat_get():
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return "Chat Get!"
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@chat.post("/")
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def chat_post(
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query: str = Body(...),
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meta: dict = Body(None),
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history: list = Body(...),
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cur_res_id: str = Body(...)):
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history_manager = HistoryManager(history)
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def make_chunk(content=None, status=None, history=None, reasoning_content=None):
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return json.dumps({
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"response": content,
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"reasoning_response": reasoning_content,
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"history": history,
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"model_name": startup.config.model_name,
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"status": status,
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"meta": meta,
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}, ensure_ascii=False).encode('utf-8') + b"\n"
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def generate_response():
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modified_query = query
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# 处理知识库检索
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if meta and meta.get("enable_retrieval"):
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chunk = make_chunk(status="searching")
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yield chunk
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modified_query, refs = startup.retriever(modified_query, history_manager.messages, meta)
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refs_pool[cur_res_id] = refs
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messages = history_manager.get_history_with_msg(modified_query, max_rounds=meta.get('history_round'))
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history_manager.add_user(query) # 注意这里使用原始查询
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logger.debug(f"Web history: {history_manager.messages}")
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content = ""
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reasoning_content = ""
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for delta in startup.model.predict(messages, stream=True):
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if not delta.content and hasattr(delta, 'reasoning_content'):
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reasoning_content += delta.reasoning_content
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chunk = make_chunk(reasoning_content=reasoning_content, status="reasoning")
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yield chunk
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continue
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# 文心一言
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if hasattr(delta, 'is_full') and delta.is_full:
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content = delta.content
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else:
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content += delta.content or ""
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chunk = make_chunk(content=content,
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reasoning_content=reasoning_content,
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status="loading",
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history=history_manager.update_ai(content))
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yield chunk
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logger.debug(f"Final response: {content}")
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logger.debug(f"Final reasoning response: {reasoning_content}")
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return StreamingResponse(generate_response(), media_type='application/json')
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@chat.post("/call")
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async def call(query: str = Body(...), meta: dict = Body(None)):
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async def predict_async(query):
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loop = asyncio.get_event_loop()
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return await loop.run_in_executor(executor, startup.model.predict, query)
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response = await predict_async(query)
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logger.debug({"query": query, "response": response.content})
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return {"response": response.content}
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@chat.post("/call_lite")
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async def call(query: str = Body(...), meta: dict = Body(None)):
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async def predict_async(query):
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loop = asyncio.get_event_loop()
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return await loop.run_in_executor(executor, startup.model_lite.predict, query)
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response = await predict_async(query)
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logger.debug({"query": query, "response": response.content})
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return {"response": response.content}
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@chat.get("/refs")
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def get_refs(cur_res_id: str):
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global refs_pool
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refs = refs_pool.pop(cur_res_id, None)
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return {"refs": refs} |