#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ 文字内容API路由 """ import logging from typing import List, Dict, Any, Optional from fastapi import APIRouter, Depends, HTTPException from api.models.tweet import ( TopicRequest, TopicResponse, ContentRequest, ContentResponse, JudgeRequest, JudgeResponse, PipelineRequest, PipelineResponse ) from api.services.tweet import TweetService from api.services.database_service import DatabaseService from api.dependencies import get_tweet_service, get_database_service # 创建一个新的模型用于接收预构建提示词的请求 from pydantic import BaseModel, Field class ContentWithPromptRequest(BaseModel): """带有预构建提示词的内容生成请求模型""" topic: Dict[str, Any] = Field(..., description="选题信息") system_prompt: str = Field(..., description="系统提示词") user_prompt: str = Field(..., description="用户提示词") class Config: schema_extra = { "example": { "topic": { "index": "1", "date": "2023-07-15", "object": "北京故宫", "product": "故宫门票", "style": "旅游攻略", "target_audience": "年轻人", "logic": "暑期旅游热门景点推荐" }, "system_prompt": "你是一位专业的旅游内容创作者...", "user_prompt": "请为以下景点创作一篇旅游文章..." } } logger = logging.getLogger(__name__) router = APIRouter( tags=["tweet"], responses={404: {"description": "Not found"}}, ) def _resolve_ids_to_names(db_service: DatabaseService, styleIds: Optional[List[int]] = None, audienceIds: Optional[List[int]] = None, scenicSpotIds: Optional[List[int]] = None, productIds: Optional[List[int]] = None) -> tuple: """ 将ID列表转换为名称列表 Args: db_service: 数据库服务 styleIds: 风格ID列表 audienceIds: 受众ID列表 scenicSpotIds: 景区ID列表 productIds: 产品ID列表 Returns: (styles, audiences, scenic_spots, products) 名称列表元组 """ styles = [] audiences = [] scenic_spots = [] products = [] # 如果数据库服务不可用，返回空列表 if not db_service or not db_service.is_available(): logger.warning("数据库服务不可用，无法解析ID") return styles, audiences, scenic_spots, products # 解析风格ID if styleIds: style_records = db_service.get_styles_by_ids(styleIds) styles = [record['styleName'] for record in style_records] # 解析受众ID if audienceIds: audience_records = db_service.get_audiences_by_ids(audienceIds) audiences = [record['audienceName'] for record in audience_records] # 解析景区ID if scenicSpotIds: spot_records = db_service.get_scenic_spots_by_ids(scenicSpotIds) scenic_spots = [record['name'] for record in spot_records] # 解析产品ID if productIds: product_records = db_service.get_products_by_ids(productIds) products = [record['name'] for record in product_records] return styles, audiences, scenic_spots, products @router.post("/topics", response_model=TopicResponse, summary="生成选题") async def generate_topics( request: TopicRequest, tweet_service: TweetService = Depends(get_tweet_service), db_service: DatabaseService = Depends(get_database_service) ): """ 生成选题 - **dates**: 日期字符串，可能为单个日期、多个日期用逗号分隔或范围 - **numTopics**: 要生成的选题数量 - **styleIds**: 风格ID列表 - **audienceIds**: 受众ID列表 - **scenicSpotIds**: 景区ID列表 - **productIds**: 产品ID列表 """ try: # 将ID转换为名称 styles, audiences, scenic_spots, products = _resolve_ids_to_names( db_service, request.styleIds, request.audienceIds, request.scenicSpotIds, request.productIds ) request_id, topics = await tweet_service.generate_topics( dates=request.dates, numTopics=request.numTopics, styles=styles, audiences=audiences, scenic_spots=scenic_spots, products=products ) return TopicResponse( requestId=request_id, topics=topics ) except Exception as e: logger.error(f"生成选题失败: {e}", exc_info=True) raise HTTPException(status_code=500, detail=f"生成选题失败: {str(e)}") @router.post("/content", response_model=ContentResponse, summary="生成内容") async def generate_content( request: ContentRequest, tweet_service: TweetService = Depends(get_tweet_service), db_service: DatabaseService = Depends(get_database_service) ): """ 生成内容 - **topic**: 选题信息 - **styleIds**: 风格ID列表 - **audienceIds**: 受众ID列表 - **scenicSpotIds**: 景区ID列表 - **productIds**: 产品ID列表 - **autoJudge**: 是否自动进行内容审核 """ try: # 将ID转换为名称 styles, audiences, scenic_spots, products = _resolve_ids_to_names( db_service, request.styleIds, request.audienceIds, request.scenicSpotIds, request.productIds ) request_id, topic_index, content = await tweet_service.generate_content( topic=request.topic, styles=styles, audiences=audiences, scenic_spots=scenic_spots, products=products, autoJudge=request.autoJudge ) # 提取judge_success字段 judge_success = content.pop('judge_success', None) if isinstance(content, dict) else None return ContentResponse( requestId=request_id, topicIndex=topic_index, content=content, judgeSuccess=judge_success ) except Exception as e: logger.error(f"生成内容失败: {e}", exc_info=True) raise HTTPException(status_code=500, detail=f"生成内容失败: {str(e)}") @router.post("/content-with-prompt", response_model=ContentResponse, summary="使用预构建提示词生成内容") async def generate_content_with_prompt( request: ContentWithPromptRequest, tweet_service: TweetService = Depends(get_tweet_service) ): """ 使用预构建的提示词为选题生成内容 - **topic**: 选题信息 - **system_prompt**: 系统提示词 - **user_prompt**: 用户提示词 """ try: request_id, topic_index, content = await tweet_service.generate_content_with_prompt( topic=request.topic, system_prompt=request.system_prompt, user_prompt=request.user_prompt ) return ContentResponse( requestId=request_id, topicIndex=topic_index, content=content, judgeSuccess=None ) except Exception as e: logger.error(f"使用预构建提示词生成内容失败: {e}", exc_info=True) raise HTTPException(status_code=500, detail=f"使用预构建提示词生成内容失败: {str(e)}") @router.post("/judge", response_model=JudgeResponse, summary="审核内容") async def judge_content( request: JudgeRequest, tweet_service: TweetService = Depends(get_tweet_service), db_service: DatabaseService = Depends(get_database_service) ): """ 审核内容 - **topic**: 选题信息 - **content**: 要审核的内容 - **styleIds**: 风格ID列表 - **audienceIds**: 受众ID列表 - **scenicSpotIds**: 景区ID列表 - **productIds**: 产品ID列表 """ try: # 将ID转换为名称 styles, audiences, scenic_spots, products = _resolve_ids_to_names( db_service, request.styleIds, request.audienceIds, request.scenicSpotIds, request.productIds ) request_id, topic_index, judged_content, judge_success = await tweet_service.judge_content( topic=request.topic, content=request.content, styles=styles, audiences=audiences, scenic_spots=scenic_spots, products=products ) return JudgeResponse( requestId=request_id, topicIndex=topic_index, content=judged_content, judgeSuccess=judge_success ) except Exception as e: logger.error(f"审核内容失败: {e}", exc_info=True) raise HTTPException(status_code=500, detail=f"审核内容失败: {str(e)}") @router.post("/pipeline", response_model=PipelineResponse, summary="运行完整流水线") async def run_pipeline( request: PipelineRequest, tweet_service: TweetService = Depends(get_tweet_service), db_service: DatabaseService = Depends(get_database_service) ): """ 运行完整流水线：生成选题 → 生成内容 → 审核内容 - **dates**: 日期范围 - **numTopics**: 要生成的选题数量 - **styleIds**: 风格ID列表 - **audienceIds**: 受众ID列表 - **scenicSpotIds**: 景区ID列表 - **productIds**: 产品ID列表 - **skip_judge**: 是否跳过内容审核步骤 - **autoJudge**: 是否在内容生成时进行内嵌审核 """ try: # 将ID转换为名称 styles, audiences, scenic_spots, products = _resolve_ids_to_names( db_service, request.styleIds, request.audienceIds, request.scenicSpotIds, request.productIds ) request_id, topics, contents, judged_contents = await tweet_service.run_pipeline( dates=request.dates, numTopics=request.numTopics, styles=styles, audiences=audiences, scenic_spots=scenic_spots, products=products, skip_judge=request.skipJudge, autoJudge=request.autoJudge ) return PipelineResponse( requestId=request_id, topics=topics, contents=contents, judgedContents=judged_contents ) except Exception as e: logger.error(f"运行流水线失败: {e}", exc_info=True) raise HTTPException(status_code=500, detail=f"运行流水线失败: {str(e)}")