TravelContentCreator/api/routers/tweet.py

#!/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)}")