88 lines
2.5 KiB
Python
88 lines
2.5 KiB
Python
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import os
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import logging
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from contextlib import asynccontextmanager
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from typing import Optional
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from fastapi import FastAPI, HTTPException
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from pydantic import BaseModel, Field
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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MODEL_NAME = os.getenv("MODEL_NAME", "BAAI/bge-m3")
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MODEL_CACHE = os.getenv("HF_HOME", "/app/models")
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DEVICE = os.getenv("DEVICE", "cpu")
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MAX_BATCH = int(os.getenv("MAX_BATCH_SIZE", "16"))
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# 设置 HuggingFace 镜像
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if os.getenv("HF_ENDPOINT"):
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os.environ["HF_ENDPOINT"] = os.getenv("HF_ENDPOINT")
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model = None
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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global model
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logger.info(f"加载模型 {MODEL_NAME}，设备：{DEVICE}")
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try:
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from FlagEmbedding import BGEM3FlagModel
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model = BGEM3FlagModel(
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MODEL_NAME,
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use_fp16=(DEVICE != "cpu"),
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cache_dir=MODEL_CACHE,
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)
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logger.info("BGE-M3 模型加载完成")
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except Exception as e:
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logger.error(f"模型加载失败：{e}")
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raise
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yield
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logger.info("服务关闭")
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app = FastAPI(title="BGE-M3 嵌入服务", lifespan=lifespan)
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class EmbedRequest(BaseModel):
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texts: list[str] = Field(..., min_length=1, max_length=100)
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batch_size: int = Field(default=12, ge=1, le=MAX_BATCH)
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return_dense: bool = True
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return_sparse: bool = True
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class EmbedResponse(BaseModel):
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dense: Optional[list[list[float]]] = None
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sparse: Optional[list[dict]] = None
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model: str
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count: int
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@app.post("/embed", response_model=EmbedResponse)
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def embed(req: EmbedRequest) -> EmbedResponse:
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if model is None:
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raise HTTPException(status_code=503, detail="模型未就绪")
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if len(req.texts) > 100:
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raise HTTPException(status_code=400, detail="单次最多 100 条文本")
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try:
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output = model.encode(
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req.texts,
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batch_size=req.batch_size,
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return_dense=req.return_dense,
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return_sparse=req.return_sparse,
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)
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return EmbedResponse(
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dense=output["dense_vecs"].tolist() if req.return_dense else None,
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sparse=[dict(w) for w in output["lexical_weights"]] if req.return_sparse else None,
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model=MODEL_NAME,
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count=len(req.texts),
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)
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except Exception as e:
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logger.error(f"嵌入生成失败：{e}")
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raise HTTPException(status_code=500, detail=str(e))
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@app.get("/health")
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def health():
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return {"status": "ok", "model": MODEL_NAME, "device": DEVICE, "ready": model is not None}
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