"""
Tool implementations with proper registration
"""

from src.tools.base_tool import tool
from src.utils.logging import get_logger

logger = get_logger(__name__)

# File operations
@tool
def file_reader(file_path: str) -> str:
    """Read contents of a file"""
    try:
        with open(file_path, 'r', encoding='utf-8') as f:
            return f.read()
    except Exception as e:
        logger.error(f"Error reading file {file_path}: {e}")
        return f"Error reading file: {str(e)}"

@tool
def file_writer(file_path: str, content: str) -> str:
    """Write content to a file"""
    try:
        with open(file_path, 'w', encoding='utf-8') as f:
            f.write(content)
        return f"Successfully wrote to {file_path}"
    except Exception as e:
        logger.error(f"Error writing file {file_path}: {e}")
        return f"Error writing file: {str(e)}"

# Web operations
@tool
async def web_researcher(query: str) -> str:
    """Research information on the web"""
    # Implementation would use actual web search API
    return f"Research results for: {query}"

# Code execution
@tool
def python_interpreter(code: str) -> str:
    """Execute Python code safely"""
    import subprocess
    import tempfile
    
    try:
        with tempfile.NamedTemporaryFile(mode='w', suffix='.py', delete=False) as f:
            f.write(code)
            f.flush()
            
            result = subprocess.run(
                ['python', f.name],
                capture_output=True,
                text=True,
                timeout=30
            )
            
            return result.stdout or result.stderr
    except Exception as e:
        return f"Error executing code: {str(e)}"

# Media processing
@tool
async def audio_transcriber(audio_path: str) -> str:
    """Transcribe audio file to text"""
    # Implementation would use actual transcription service
    return f"Transcription of {audio_path}"

@tool
async def video_analyzer(video_path: str) -> Dict[str, Any]:
    """Analyze video content"""
    # Implementation would use actual video analysis
    return {
        "duration": "unknown",
        "resolution": "unknown",
        "description": f"Analysis of {video_path}"
    }

@tool
async def image_analyzer(image_path: str) -> Dict[str, Any]:
    """Analyze image content"""
    # Implementation would use actual image analysis
    return {
        "format": "unknown",
        "dimensions": "unknown",
        "description": f"Analysis of {image_path}"
    }

# Export all tools
__all__ = [
    'file_reader',
    'file_writer',
    'web_researcher',
    'python_interpreter',
    'audio_transcriber',
    'video_analyzer',
    'image_analyzer'
]