#!/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.dependencies import get_tweet_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"}},
)


@router.post("/topics", response_model=TopicResponse, summary="生成选题")
async def generate_topics(
    request: TopicRequest,
    tweet_service: TweetService = Depends(get_tweet_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
    - **num_topics**: 要生成的选题数量
    - **styles**: 风格列表
    - **audiences**: 受众列表
    - **scenic_spots**: 景区列表
    - **products**: 产品列表
    """
    try:
        request_id, topics = await tweet_service.generate_topics(
            dates=request.dates,
            num_topics=request.num_topics,
            styles=request.styles,
            audiences=request.audiences,
            scenic_spots=request.scenic_spots,
            products=request.products
        )
        
        return TopicResponse(
            request_id=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)
):
    """
    为选题生成内容
    
    - **topic**: 选题信息
    """
    try:
        request_id, topic_index, content = await tweet_service.generate_content(
            topic=request.topic
        )
        
        return ContentResponse(
            request_id=request_id,
            topic_index=topic_index,
            content=content
        )
    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(
            request_id=request_id,
            topic_index=topic_index,
            content=content
        )
    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)
):
    """
    审核内容
    
    - **topic**: 选题信息
    - **content**: 要审核的内容
    """
    try:
        request_id, topic_index, judged_content, judge_success = await tweet_service.judge_content(
            topic=request.topic,
            content=request.content
        )
        
        return JudgeResponse(
            request_id=request_id,
            topic_index=topic_index,
            judged_content=judged_content,
            judge_success=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)
):
    """
    运行完整流水线，包括生成选题、生成内容和审核内容
    
    - **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
    - **num_topics**: 要生成的选题数量
    - **styles**: 风格列表
    - **audiences**: 受众列表
    - **scenic_spots**: 景区列表
    - **products**: 产品列表
    - **skip_judge**: 是否跳过内容审核步骤
    """
    try:
        request_id, topics, contents, judged_contents = await tweet_service.run_pipeline(
            dates=request.dates,
            num_topics=request.num_topics,
            styles=request.styles,
            audiences=request.audiences,
            scenic_spots=request.scenic_spots,
            products=request.products,
            skip_judge=request.skip_judge
        )
        
        return PipelineResponse(
            request_id=request_id,
            topics=topics,
            contents=contents,
            judged_contents=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)}")