lingyue-zhibao/python-services/ner-service/app/routers/ner.py

"""
NER 路由
"""
from fastapi import APIRouter, HTTPException
from loguru import logger
import time

from ..models import NerRequest, NerResponse, EntityInfo
from ..services.ner_service import ner_service

router = APIRouter()


@router.post("/extract", response_model=NerResponse)
async def extract_entities(request: NerRequest):
    """
    从文本中提取命名实体
    """
    start_time = time.time()
    
    try:
        logger.info(f"开始提取实体: document_id={request.document_id}, text_length={len(request.text)}")
        
        # 验证文本长度
        if len(request.text) > 50000:
            raise HTTPException(status_code=400, detail="文本长度超过限制（最大50000字符）")
        
        # 调用 NER 服务
        entities = await ner_service.extract_entities(
            text=request.text,
            entity_types=request.entity_types
        )
        
        # 如果需要提取关系
        relations = []
        if request.extract_relations and len(entities) > 1:
            from ..services.relation_service import relation_service
            relations = await relation_service.extract_relations(
                text=request.text,
                entities=entities
            )
        
        processing_time = int((time.time() - start_time) * 1000)
        
        logger.info(f"实体提取完成: document_id={request.document_id}, "
                   f"entity_count={len(entities)}, relation_count={len(relations)}, "
                   f"processing_time={processing_time}ms")
        
        return NerResponse.success_response(
            document_id=request.document_id,
            entities=entities,
            relations=relations,
            processing_time=processing_time
        )
        
    except HTTPException:
        raise
    except Exception as e:
        logger.error(f"实体提取失败: document_id={request.document_id}, error={str(e)}")
        return NerResponse.error_response(
            document_id=request.document_id,
            error_message=str(e)
        )