"""
Called RobustWebScraperTool that performs advanced web scraping with API integration

This tool was automatically generated by ToolGeneratorTool.
Generated on: 2025-07-29T21:54:27.102315
"""

from typing import Any, Dict, List, Optional
from datetime import datetime
from ..base import BaseTool


class RobustwebscraperTool(BaseTool):
    """
    Called RobustWebScraperTool that performs advanced web scraping with API integration
    
    Purpose: performs advanced web scraping with API integration
    
    This tool follows the Metis Agent tool rules:
    - Stateless architecture (no LLM dependencies)
    - Single responsibility principle
    - Standardized interface with can_handle() and execute()
    """
    
    def __init__(self):
        """Initialize the tool."""
        self.name = "robustwebscrapertool"
        self.description = "Called RobustWebScraperTool that performs advanced web scraping with API integration"
    
    def can_handle(self, task: str) -> bool:
        """
        Determine if this tool can handle the given task.
        
        Args:
            task: The task description
            
        Returns:
            True if tool can handle the task, False otherwise
        """
        task_lower = task.lower()
        
        # Keywords that indicate this tool can handle the task
        keywords = ["create", "write", "read", "advanced", "directory", "scraping", "integration", "file", "delete", "performs", "with"]
        
        return any(keyword in task_lower for keyword in keywords)
    
    def execute(self, task: str, **kwargs) -> Dict[str, Any]:
        """
        Execute the tool's functionality.
        
        Args:
            task: The primary task description
            **kwargs: Additional parameters
            
        Returns:
            Structured dictionary with results
        """
        try:
            import requests
            from urllib.parse import urljoin, urlparse
            import re
            
            # Extract URL from task if present
            url_pattern = r'https?://[^\s]+'
            urls = re.findall(url_pattern, task)
            
            if urls:
                url = urls[0]
            else:
                # Default to a test URL or extract from kwargs
                url = kwargs.get('url', 'https://httpbin.org/get')
            
            # Set up headers to mimic a real browser
            headers = {
                'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
                'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
                'Accept-Language': 'en-US,en;q=0.5',
                'Accept-Encoding': 'gzip, deflate',
                'Connection': 'keep-alive',
            }
            
            # Make the request
            response = requests.get(url, headers=headers, timeout=30)
            response.raise_for_status()
            
            # Process the response
            content_type = response.headers.get('content-type', '').lower()
            
            if 'json' in content_type:
                data = response.json()
            elif 'html' in content_type:
                # Basic HTML parsing
                from bs4 import BeautifulSoup
                soup = BeautifulSoup(response.text, 'html.parser')
                
                # Extract common elements
                data = {
                    'title': soup.title.string if soup.title else None,
                    'links': [a.get('href') for a in soup.find_all('a', href=True)][:10],
                    'text_content': soup.get_text()[:1000],
                    'images': [img.get('src') for img in soup.find_all('img', src=True)][:5]
                }
            else:
                data = {'content': response.text[:1000]}
            
            return {
                'success': True,
                'url': url,
                'status_code': response.status_code,
                'content_type': content_type,
                'data': data,
                'message': f"Successfully scraped data from {url}"
            }
            
        except requests.RequestException as e:
            return {
                'success': False,
                'error': f"Request failed: {str(e)}",
                'task': task
            }
        except ImportError as e:
            return {
                'success': False,
                'error': f"Missing required library: {str(e)}. Install with: pip install requests beautifulsoup4",
                'task': task
            }
        except Exception as e:
            return {
                'success': False,
                'error': str(e),
                'task': task
            }
    
    def get_capabilities(self) -> Dict[str, Any]:
        """Return tool capability metadata."""
        return {
            "complexity_levels": ["simple", "moderate"],
            "input_types": ["text", "file_path"],
            "output_types": ["structured_data", "file_content"],
            "requires_filesystem": True,
            "requires_internet": False,
            "estimated_execution_time": "1-5s",
            "concurrent_safe": True,
            "resource_intensive": False,
            "memory_usage": "low",
            "api_dependencies": [],
            "supported_intents": [],
        }
    
    def get_examples(self) -> List[str]:
        """Get example tasks that this tool can handle."""
        return [
            "Example usage: performs advanced web scraping with API integration",
        ]
