"""
内置工具 - Web 搜索

提供互联网搜索能力
"""

from typing import Dict, Any, Optional
from ..managers.tool_manager import BaseTool, ToolMetadata, ToolConfig, ToolResult, ToolPermission


class WebSearchTool(BaseTool):
    """Web 搜索工具"""
    
    metadata = ToolMetadata(
        name="web_search",
        version="1.0.0",
        description="搜索互联网获取信息",
        author="MAgentClaw Team",
        category="information",
        tags=["search", "web", "internet"],
        permissions=[ToolPermission.NETWORK],
        timeout=30
    )
    
    config = ToolConfig(
        enabled=True,
        rate_limit=10,
        parameters={
            "max_results": 5,
            "language": "zh-CN"
        }
    )
    
    async def execute(self, query: str, max_results: int = 5, **kwargs) -> ToolResult:
        """执行搜索"""
        try:
            # 注意：这里需要实际的搜索 API 实现
            # 这是一个示例实现
            results = await self._search_impl(query, max_results)
            
            return ToolResult(
                success=True,
                data={
                    "query": query,
                    "results": results,
                    "count": len(results)
                }
            )
        except Exception as e:
            return ToolResult(
                success=False,
                error=str(e)
            )
    
    async def _search_impl(self, query: str, max_results: int) -> list:
        """实际的搜索实现"""
        # 模拟搜索结果
        # 实际使用时需要接入真实的搜索 API
        import random
        
        simulated_results = [
            {
                "title": f"结果 {i+1}: {query}",
                "url": f"https://example.com/result{i+1}",
                "snippet": f"这是关于 '{query}' 的搜索结果 {i+1}"
            }
            for i in range(max_results)
        ]
        
        return simulated_results


class NewsSearchTool(BaseTool):
    """新闻搜索工具"""
    
    metadata = ToolMetadata(
        name="news_search",
        version="1.0.0",
        description="搜索最新新闻",
        author="MAgentClaw Team",
        category="information",
        tags=["news", "search", "current_events"],
        permissions=[ToolPermission.NETWORK],
        timeout=30
    )
    
    config = ToolConfig(
        enabled=True,
        rate_limit=5,
        parameters={
            "max_results": 10,
            "language": "zh-CN"
        }
    )
    
    async def execute(self, query: str, max_results: int = 10, **kwargs) -> ToolResult:
        """执行新闻搜索"""
        try:
            results = await self._search_news_impl(query, max_results)
            
            return ToolResult(
                success=True,
                data={
                    "query": query,
                    "news": results,
                    "count": len(results)
                }
            )
        except Exception as e:
            return ToolResult(
                success=False,
                error=str(e)
            )
    
    async def _search_news_impl(self, query: str, max_results: int) -> list:
        """实际的新闻搜索实现"""
        # 模拟新闻结果
        from datetime import datetime
        
        return [
            {
                "title": f"新闻 {i+1}: {query}",
                "url": f"https://news.example.com/article{i+1}",
                "source": f"新闻源 {i+1}",
                "published_at": datetime.now().isoformat(),
                "snippet": f"关于 '{query}' 的最新新闻 {i+1}"
            }
            for i in range(max_results)
        ]


class AcademicSearchTool(BaseTool):
    """学术搜索工具"""
    
    metadata = ToolMetadata(
        name="academic_search",
        version="1.0.0",
        description="搜索学术论文",
        author="MAgentClaw Team",
        category="information",
        tags=["academic", "paper", "research", "scholar"],
        permissions=[ToolPermission.NETWORK],
        timeout=60
    )
    
    config = ToolConfig(
        enabled=True,
        rate_limit=3,
        parameters={
            "max_results": 10,
            "include_abstracts": True
        }
    )
    
    async def execute(
        self, 
        query: str, 
        max_results: int = 10,
        include_abstracts: bool = True,
        **kwargs
    ) -> ToolResult:
        """执行学术搜索"""
        try:
            results = await self._search_academic_impl(query, max_results, include_abstracts)
            
            return ToolResult(
                success=True,
                data={
                    "query": query,
                    "papers": results,
                    "count": len(results)
                }
            )
        except Exception as e:
            return ToolResult(
                success=False,
                error=str(e)
            )
    
    async def _search_academic_impl(
        self, 
        query: str, 
        max_results: int,
        include_abstracts: bool
    ) -> list:
        """实际的学术搜索实现"""
        # 模拟学术论文结果
        return [
            {
                "title": f"学术论文 {i+1}: {query}",
                "authors": [f"作者 {j+1}" for j in range(3)],
                "year": 2020 + (i % 5),
                "venue": f"期刊/会议 {i+1}",
                "citations": 100 - i * 10,
                "abstract": f"这是关于 '{query}' 的学术论文摘要 {i+1}" if include_abstracts else None,
                "url": f"https://scholar.example.com/paper{i+1}"
            }
            for i in range(max_results)
        ]
