#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
数据采集模块 - 人物画像技能
用于从多种渠道采集目标人物的公开信息

创建时间：2026-04-03
开发者：瞰宇 (Kàn Yǔ)
"""

import json
import asyncio
from typing import Dict, List, Optional, Any
from datetime import datetime
from dataclasses import dataclass, asdict
import re


@dataclass
class PersonProfile:
    """人物基础信息"""
    name: str
    aliases: List[str]
    birth_date: Optional[str] = None
    nationality: Optional[str] = None
    education: List[Dict[str, str]] = None
    career: List[Dict[str, str]] = None
    current_positions: List[str] = None
    affiliations: List[str] = None
    social_media: Dict[str, str] = None
    websites: List[str] = None
    
    def __post_init__(self):
        if self.education is None:
            self.education = []
        if self.career is None:
            self.career = []
        if self.current_positions is None:
            self.current_positions = []
        if self.affiliations is None:
            self.affiliations = []
        if self.social_media is None:
            self.social_media = {}
        if self.websites is None:
            self.websites = []


@dataclass
class Statement:
    """公开言论"""
    id: str
    content: str
    source: str
    source_type: str  # speech, interview, article, social_media, book, paper
    date: str
    url: Optional[str] = None
    title: Optional[str] = None
    metadata: Dict[str, Any] = None
    
    def __post_init__(self):
        if self.metadata is None:
            self.metadata = {}


@dataclass
class MediaReport:
    """媒体报道"""
    id: Media
    title: str
    media_name: str
    media_type: str  # left, right, center, international
    content: str
    url: str
    date: str
    sentiment: Optional[str] = None  # positive, neutral, negative
    framework: Optional[str] = None  # 主导框架标签
    metadata: Dict[str, Any] = None
    
    def __post_init__(self):
        if self.metadata is None:
            self.metadata = {}


class DataCollector:
    """
    数据采集器
    支持从多种渠道采集目标人物的公开信息
    """
    
    def __init__(self, use_osint_tools: bool = True):
        """
        初始化数据采集器
        
        Args:
            use_osint_tools: 是否使用OSINT工具进行数据采集
        """
        self.use_osint_tools = use_osint_tools
        self.collected_data = {
            "person_profile": None,
            "statements": [],
            "media_reports": [],
            "social_posts": [],
            "voting_records": [],
            "activities": [],
            "controversies": []
        }
    
    async def collect_person_profile(self, person_name: str) -> PersonProfile:
        """
        采集人物基础信息
        
        Args:
            person_name: 人物姓名
            
        Returns:
            PersonProfile对象
        """
        # TODO: 实际实现中，这里应该：
        # 1. 使用scrapling抓取维基百科
        # 2. 使用crawl4ai抓取官方资料
        # 3. 使用Twitter API获取社交信息
        
        # 这里返回一个示例结构
        profile = PersonProfile(
            name=person_name,
            aliases=[],
            social_media={},
            websites=[]
        )
        
        self.collected_data["person_profile"] = profile
        return profile
    
    async def collect_statements(
        self, 
        person_name: str, 
        time_range: str = "10y"
    ) -> List[Statement]:
        """
        采集公开言论
        
        Args:
            person_name: 人物姓名
            time_range: 时间范围（如5y=5年，10y=10年，all=全生涯）
            
        Returns:
            Statement对象列表
        """
        # TODO: 实际实现中，这里应该：
        # 1. 使用twscrape采集Twitter帖子
        # 2. 使用scrapling采集演讲、访谈、文章
        # 3. 使用Google Scholar采集论文
        
        statements = []
        self.collected_data["statements"] = statements
        return statements
    
    async def collect_media_reports(
        self, 
        person_name: str,
        time_range: str = "10y"
    ) -> List[MediaReport]:
        """
        采集媒体报道
        
        Args:
            person_name: 人物姓名
            time_range: 时间范围
            
        Returns:
            MediaReport对象列表
        """
        # TODO: 实际实现中，这里应该：
        # 1. 使用新闻API（如NewsAPI）
        # 2. 使用scrapling抓取主流媒体网站
        # 3. 分类媒体（左翼/右翼/中间派/国际）
        
        reports = []
        self.collected_data["media_reports"] = reports
        return reports
    
    async def collect_all(
        self,
        person_name: str,
        time_range: str = "10y",
        include_social: bool = True,
        include_media: bool = True
    ) -> Dict[str, Any]:
        """
        采集所有信息
        
        Args:
            person_name: 人物姓名
            time_range: 时间范围
            include_social: 是否包含社交媒体数据
            include_media: 是否包含媒体报道
            
        Returns:
            采集到的所有数据
        """
        tasks = [self.collect_person_profile(person_name)]
        
        if include_social:
            tasks.append(self.collect_statements(person_name, time_range))
        
        if include_media:
            tasks.append(self.collect_media_reports(person_name, time_range))
        
        results = await asyncio.gather(*tasks)
        
        return self.collected_data
    
    def save_collected_data(self, filepath: str):
        """
        保存采集到的数据
        
        Args:
            filepath: 保存路径
        """
        # 将对象转换为可序列化的字典
        serializable_data = {
            "person_profile": asdict(self.collected_data["person_profile"]) if self.collected_data["person_profile"] else None,
            "statements": [asdict(s) for s in self.collected_data["statements"]],
            "media_reports": [asdict(m) for m in self.collected_data["media_reports"]]
        }
        
        with open(filepath, 'w', encoding='utf-8') as f:
            json.dump(serializable_data, f, ensure_ascii=False, indent=2)
    
    def load_collected_data(self, filepath: str):
        """
        加载已保存的数据
        
        Args:
            filepath: 数据文件路径
        """
        with open(filepath, 'r', encoding='utf-8') as f:
            data = json.load(f)
        
        if data.get("person_profile"):
            self.collected_data["person_profile"] = PersonProfile(**data["person_profile"])
        
        self.collected_data["statements"] = [Statement(**s) for s in data.get("statements", [])]
        self.collected_data["media_reports"] = [MediaReport(**m) for m in data.get("media_reports", [])]


async def main():
    """测试数据采集器"""
    collector = DataCollector(use_osint_tools=False)
    
    # 示例：采集数据
    print("开始采集数据...")
    result = await collector.collect_all("示例人物")
    
    print(f"采集完成！")
    print(f"- 人物信息: {'已采集' if result['person_profile'] else '未采集'}")
    print(f"- 言论数量: {len(result['statements'])}")
    print(f"- 媒体报道数量: {len(result['media_reports'])}")


if __name__ == "__main__":
    asyncio.run(main())