"""
Web search tool for fact-checking and information retrieval.
This can be used to verify claims or gather additional context.
"""

import logging
from typing import Any

logger = logging.getLogger(__name__)


class WebSearchTool:
    """
    Tool for performing web searches to fact-check generated content.

    This is useful for verifying factual claims in solutions or
    gathering additional context for complex problems.
    """

    def __init__(self, api_key: str | None = None):
        """
        Initialize the web search tool.

        Args:
            api_key: API key for search service (e.g., Serper, Tavily, etc.)
        """
        self.api_key = api_key
        logger.info("WebSearchTool initialized")

    def search(self, query: str, max_results: int = 5) -> list[dict[str, Any]]:
        """
        Perform a web search.

        Args:
            query: Search query
            max_results: Maximum number of results to return

        Returns:
            List of search results with title, url, and snippet
        """
        logger.info(f"Searching for: {query}")

        # TODO: Implement actual web search using a service like:
        # - Serper API
        # - Tavily API
        # - Google Custom Search
        # - Bing Search API

        logger.warning("Web search not yet implemented, returning mock results")
        return self._mock_search(query, max_results)

    def fact_check(self, claim: str) -> dict[str, Any]:
        """
        Fact-check a specific claim.

        Args:
            claim: The claim to verify

        Returns:
            Dictionary with verification result
        """
        logger.info(f"Fact-checking: {claim}")

        # Search for information about the claim
        results = self.search(claim)

        # TODO: Implement sophisticated fact-checking logic
        # For now, return a simple result
        return {
            "claim": claim,
            "confidence": 0.5,
            "verdict": "uncertain",
            "sources": results,
            "explanation": "Fact-checking not yet implemented",
        }

    def _mock_search(self, query: str, max_results: int) -> list[dict[str, Any]]:
        """Return mock search results for testing."""
        return [
            {
                "title": f"Mock result {i+1} for: {query}",
                "url": f"https://example.com/result{i+1}",
                "snippet": f"This is a mock search result snippet {i+1}",
            }
            for i in range(max_results)
        ]
