#!/usr/bin/env python3
"""
MCP server for: Create a simple audit test MCP to verify all documentation and commands are correct
Generated by KEN-MCP on 2025-06-27

TODO: Claude, please customize this MCP server based on these requirements:
Create a simple audit test MCP to verify all documentation and commands are correct
Analysis Results:
- Domain: file_system
- Primary actions: create, validate, authenticate
- Key entities: 
- Operations: validating

Instructions:
1. Rename the placeholder tools to match the actual functionality needed
2. Update tool descriptions and parameters based on requirements
3. Implement the actual logic in each tool function
4. Add/remove tools, resources, and prompts as needed
5. Update dependencies in pyproject.toml if additional packages are required

IMPORTANT: If the MCP fails to load in Claude:
- Run: python diagnose.py to check for common issues
- Never use print() statements - use logger.info() instead
- Ensure all output goes to stderr, not stdout
"""

from fastmcp import FastMCP, Context
from fastmcp.exceptions import ToolError
from typing import Dict, List, Any, Optional
from pathlib import Path
import json
import os
import sys
import logging

# CRITICAL: Configure logging to use stderr ONLY - stdout is reserved for MCP protocol
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
    stream=sys.stderr  # All logs MUST go to stderr, never stdout!
)
logger = logging.getLogger(__name__)

# Initialize the MCP server with clean stdout (no redirection needed)
mcp = FastMCP(
    name="audit-test",
    instructions="""
    MCP server for: Create a simple audit test MCP to verify all documentation and commands are correct
    
    Original Requirements:
    Create a simple audit test MCP to verify all documentation and commands are correct
Analysis Results:
- Domain: file_system
- Primary actions: create, validate, authenticate
- Key entities: 
- Operations: validating
    
    TODO: Claude should update these instructions based on the actual implementation.
    """,
    log_level="ERROR"  # Suppress FastMCP's own logging to keep stdout clean
)

# IMPORTANT: NEVER use print() statements!
# Use logger.info(), logger.debug(), etc. instead
# Any output to stdout will break the MCP protocol


@mcp.tool
async def read_file(
    ctx: Context,
    file_id: str
) -> Dict[str, Any]:
    """Read operation for file.

Domain: file_system
Related operations: validating

TODO: Claude, implement this tool based on the requirements:
Create a simple audit test MCP to verify all documentation and commands are correct

Consider:
- What specific file operations are needed
- What validation should be performed
- What error cases to handle
- What response format makes sense"""
    # TODO: Claude, implement this tool based on the requirements in the docstring above
    # Consider:
    # - What data sources or APIs might be needed
    # - What processing or transformations are required
    # - What error cases should be handled
    # - What progress updates would be helpful
    
    try:
        # FastMCP Context Methods Reference:
        # - await ctx.info("message") - Log information
        # - await ctx.report_progress(current, total, "message") - Show progress
        # - await ctx.read_resource("uri") - Read from a resource
        
        await ctx.info(f"Starting read_file...")
        
        # TODO: Add parameter validation
        # Example patterns:
        # if not input_data:
        #     raise ToolError("input_data is required")
        # 
        # if not isinstance(input_data, str):
        #     raise ToolError("input_data must be a string")
        #
        # if len(input_data) > 1000:
        #     raise ToolError("input_data too long (max 1000 chars)")
        
        # TODO: Implement the main functionality
        # Common patterns by use case:
        #
        # For data storage:
        #   storage_dir = Path.home() / ".mcp_data" / "read_file"
        #   storage_dir.mkdir(parents=True, exist_ok=True)
        #
        # For API calls:
        #   import httpx
        #   async with httpx.AsyncClient() as client:
        #       response = await client.get(url)
        #
        # For file processing:
        #   from pathlib import Path
        #   file = Path(file_path)
        #   if not file.exists():
        #       raise ToolError(f"File not found: {file_path}")
        
        # TODO: Add progress updates for long operations
        # await ctx.report_progress(25, 100, "Loading data...")
        # await ctx.report_progress(50, 100, "Processing...")
        # await ctx.report_progress(75, 100, "Finalizing...")
        
        # TODO: Return appropriate result
        # Success pattern:
        # return {
        #     "success": True,
        #     "data": processed_data,
        #     "count": len(results),
        #     "message": "Operation completed successfully"
        # }
        
        result = {
            "status": "not_implemented",
            "message": f"TODO: Implement read_file",
            "tool": "read_file",
            "description": "Read operation for file.\n\nDomain: file_system\nRelated operations: validating\n\nTODO: Claude, implement this tool based on the requirements:\nCreate a simple audit test MCP to verify all documentation and commands are correct\n\nConsider:\n- What specific file operations are needed\n- What validation should be performed\n- What error cases to handle\n- What response format makes sense",
            "input": locals()  # Shows all parameters for debugging
        }
        
        await ctx.info(f"read_file completed")
        return result
        
    except Exception as e:
        # Always use ToolError for user-facing errors
        raise ToolError(f"read_file error: {str(e)}")


@mcp.tool
async def write_file(
    ctx: Context,
    path: Any,
    content: Any
) -> Dict[str, Any]:
    """Write operation for file.

Domain: file_system
Related operations: validating

TODO: Claude, implement this tool based on the requirements:
Create a simple audit test MCP to verify all documentation and commands are correct

Consider:
- What specific file operations are needed
- What validation should be performed
- What error cases to handle
- What response format makes sense"""
    # TODO: Claude, implement this tool based on the requirements in the docstring above
    # Consider:
    # - What data sources or APIs might be needed
    # - What processing or transformations are required
    # - What error cases should be handled
    # - What progress updates would be helpful
    
    try:
        # FastMCP Context Methods Reference:
        # - await ctx.info("message") - Log information
        # - await ctx.report_progress(current, total, "message") - Show progress
        # - await ctx.read_resource("uri") - Read from a resource
        
        await ctx.info(f"Starting write_file...")
        
        # TODO: Add parameter validation
        # Example patterns:
        # if not input_data:
        #     raise ToolError("input_data is required")
        # 
        # if not isinstance(input_data, str):
        #     raise ToolError("input_data must be a string")
        #
        # if len(input_data) > 1000:
        #     raise ToolError("input_data too long (max 1000 chars)")
        
        # TODO: Implement the main functionality
        # Common patterns by use case:
        #
        # For data storage:
        #   storage_dir = Path.home() / ".mcp_data" / "write_file"
        #   storage_dir.mkdir(parents=True, exist_ok=True)
        #
        # For API calls:
        #   import httpx
        #   async with httpx.AsyncClient() as client:
        #       response = await client.get(url)
        #
        # For file processing:
        #   from pathlib import Path
        #   file = Path(file_path)
        #   if not file.exists():
        #       raise ToolError(f"File not found: {file_path}")
        
        # TODO: Add progress updates for long operations
        # await ctx.report_progress(25, 100, "Loading data...")
        # await ctx.report_progress(50, 100, "Processing...")
        # await ctx.report_progress(75, 100, "Finalizing...")
        
        # TODO: Return appropriate result
        # Success pattern:
        # return {
        #     "success": True,
        #     "data": processed_data,
        #     "count": len(results),
        #     "message": "Operation completed successfully"
        # }
        
        result = {
            "status": "not_implemented",
            "message": f"TODO: Implement write_file",
            "tool": "write_file",
            "description": "Write operation for file.\n\nDomain: file_system\nRelated operations: validating\n\nTODO: Claude, implement this tool based on the requirements:\nCreate a simple audit test MCP to verify all documentation and commands are correct\n\nConsider:\n- What specific file operations are needed\n- What validation should be performed\n- What error cases to handle\n- What response format makes sense",
            "input": locals()  # Shows all parameters for debugging
        }
        
        await ctx.info(f"write_file completed")
        return result
        
    except Exception as e:
        # Always use ToolError for user-facing errors
        raise ToolError(f"write_file error: {str(e)}")


@mcp.tool
async def list_directory(
    ctx: Context,
    filter: Optional[Dict[str, Any]],
    limit: int = 100,
    offset: int = 0
) -> Dict[str, Any]:
    """List operation for directory.

Domain: file_system
Related operations: validating

TODO: Claude, implement this tool based on the requirements:
Create a simple audit test MCP to verify all documentation and commands are correct

Consider:
- What specific directory operations are needed
- What validation should be performed
- What error cases to handle
- What response format makes sense"""
    # Implementation for listing/fetching multiple items
    try:
        await ctx.info(f"Fetching items...")
        
        # TODO: Apply filters if provided
        # TODO: Implement pagination
        # TODO: Fetch from data source
        
        items = []  # TODO: Fetch actual items
        
        return {
            "status": "success",
            "count": len(items),
            "items": items,
            "total": len(items)
        }
    except Exception as e:
        raise ToolError(f"Failed to list items: {e}")

# Resources - TODO: Claude, implement these based on requirements

@mcp.resource("files://recent")
async def resource_recent() -> List[Dict[str, Any]]:
    """Recently accessed files - TODO: Implement based on requirements"""
    # TODO: Implement this resource based on requirements
    # Consider what data should be exposed here
    return [{
        "status": "not_implemented", 
        "message": "TODO: Implement resource for files://recent",
        "description": "Recently accessed files - TODO: Implement based on requirements"
    }]

@mcp.resource("dirs://structure")
async def resource_structure() -> List[Dict[str, Any]]:
    """Directory structure information - TODO: Implement based on requirements"""
    # TODO: Implement this resource based on requirements
    # Consider what data should be exposed here
    return [{
        "status": "not_implemented", 
        "message": "TODO: Implement resource for dirs://structure",
        "description": "Directory structure information - TODO: Implement based on requirements"
    }]

@mcp.resource("system://status")
async def resource_status() -> List[Dict[str, Any]]:
    """System status for file_system - TODO: Implement health checks"""
    # TODO: Implement this resource based on requirements
    # Consider what data should be exposed here
    return [{
        "status": "not_implemented", 
        "message": "TODO: Implement resource for system://status",
        "description": "System status for file_system - TODO: Implement health checks"
    }]

# Prompts - TODO: Claude, implement these based on requirements

@mcp.prompt
def help(topic: Optional[str]) -> str:
    """Get help with file_system operations - TODO: Customize for this MCP"""
    # TODO: Implement this prompt based on requirements
    # Return a string that will be converted to a user message
    # or return a PromptMessage object for more control
    return f"TODO: Implement help prompt - {locals()}"


if __name__ == "__main__":
    mcp.run()
