"""
MCP (Model Context Protocol) Client for federated tool ecosystems.

Enables integration with external tool providers via MCP servers,
allowing agents to discover and call remote tools seamlessly.

NOTE: MCP feature is disabled for this release. All code below is commented out.
"""

"""
MCP (Model Context Protocol) Client for federated tool ecosystems.

Enables integration with external tool providers via MCP servers,
allowing agents to discover and call remote tools seamlessly.

NOTE: MCP feature is disabled for this release. All code is commented out.
"""

# Code disabled for this release - uncomment when MCP feature is ready

# from __future__ import annotations
#
# from typing import Any, Dict, List, Optional
#
# try:
#     import aiohttp
# except ImportError:
#     aiohttp = None


# Placeholder exports to prevent import errors
class MCPToolSource:
    """Placeholder - MCP feature disabled for this release."""
    def __init__(self, *args, **kwargs):
        raise NotImplementedError("MCP feature is not available in this release")


class MCPToolRegistry:
    """Placeholder - MCP feature disabled for this release."""
    def __init__(self, *args, **kwargs):
        raise NotImplementedError("MCP feature is not available in this release")


# Original implementation commented out below:
# 
# class MCPToolSource:
#     """
#     Client for MCP server tool discovery and invocation.
#     
#     MCP servers expose standardized APIs for:
#     - Tool discovery (GET /tools)
#     - Tool invocation (POST /call)
#     
#     Example:
#         mcp = MCPToolSource("http://localhost:3000", api_key="my-key")
#         tools = await mcp.discover()
#         result = await mcp.call_tool("web_search", {"query": "AI"})
#     """
#
#     def __init__(self, base_url: str, api_key: Optional[str] = None):
#         """
#         Initialize MCP client.
#         
#         Args:
#             base_url: Base URL of MCP server (e.g., "http://localhost:3000")
#             api_key: Optional API key for authentication
#         """
#         if aiohttp is None:
#             raise RuntimeError(
#                 "aiohttp is required for MCP client. "
#                 "Install with: pip install aiohttp"
#             )
#         
#         self.base_url = base_url.rstrip("/")
#         self.api_key = api_key
#
#     def _get_headers(self) -> Dict[str, str]:
#         """Get HTTP headers with optional auth."""
#         headers = {"Content-Type": "application/json"}
#         if self.api_key:
#             headers["Authorization"] = f"Bearer {self.api_key}"
#         return headers
#
#     async def discover(self) -> List[Dict[str, Any]]:
#         """
#         Discover available tools from MCP server.
#         
#         Returns:
#             List of tool metadata dicts with 'name', 'description', 'parameters'
#         
#         Raises:
#             aiohttp.ClientError: On connection/HTTP errors
#         """
#         async with aiohttp.ClientSession() as session:
#             headers = self._get_headers()
#             url = f"{self.base_url}/tools"
#             
#             async with session.get(url, headers=headers) as response:
#                 response.raise_for_status()
#                 data = await response.json()
#                 
#                 # Normalize response format
#                 if isinstance(data, dict) and "tools" in data:
#                     return data["tools"]
#                 elif isinstance(data, list):
#                     return data
#                 else:
#                     return []
#
#     async def call_tool(
#         self,
#         tool_name: str,
#         params: Dict[str, Any]
#     ) -> Dict[str, Any]:
#         """
#         Call a remote tool via MCP server.
#         
#         Args:
#             tool_name: Name of tool to invoke
#             params: Tool parameters
#         
#         Returns:
#             Tool execution result
#         
#         Raises:
#             aiohttp.ClientError: On connection/HTTP errors
#         """
#         async with aiohttp.ClientSession() as session:
#             headers = self._get_headers()
#             url = f"{self.base_url}/call"
#             payload = {"tool": tool_name, "params": params}
#             
#             async with session.post(url, json=payload, headers=headers) as response:
#                 response.raise_for_status()
#                 return await response.json()
#
#     async def health_check(self) -> bool:
#         """
#         Check if MCP server is reachable.
#         
#         Returns:
#             True if server responds to /health endpoint
#         """
#         try:
#             async with aiohttp.ClientSession() as session:
#                 url = f"{self.base_url}/health"
#                 async with session.get(url, timeout=aiohttp.ClientTimeout(total=5)) as response:
#                     return response.status == 200
#         except Exception:
#             return False
#
#
# class MCPToolRegistry:
#     """
#     Registry for managing multiple MCP tool sources.
#     
#     Allows agents to discover and call tools from multiple federated MCP servers.
#     
#     Example:
#         registry = MCPToolRegistry()
#         registry.add_source("primary", MCPToolSource("http://mcp1.example.com"))
#         registry.add_source("backup", MCPToolSource("http://mcp2.example.com"))
#         
#         tools = await registry.discover_all()
#         result = await registry.call_tool("web_search", {"query": "AI"})
#     """
#
#     def __init__(self):
#         self.sources: Dict[str, MCPToolSource] = {}
#
#     def add_source(self, name: str, source: MCPToolSource) -> None:
#         """Register an MCP source."""
#         self.sources[name] = source
#
#     async def discover_all(self) -> Dict[str, List[Dict[str, Any]]]:
#         """
#         Discover tools from all registered sources.
#         
#         Returns:
#             Dict mapping source name to list of tool metadata
#         """
#         import asyncio
#         
#         tasks = {
#             name: source.discover()
#             for name, source in self.sources.items()
#         }
#         
#         results = await asyncio.gather(
#             *tasks.values(),
#             return_exceptions=True
#         )
#         
#         discovered = {}
#         for (name, _), result in zip(tasks.items(), results):
#             if isinstance(result, Exception):
#                 discovered[name] = []
#             else:
#                 discovered[name] = result
#         
#         return discovered
#
#     async def call_tool(
#         self,
#         tool_name: str,
#         params: Dict[str, Any],
#         source_name: Optional[str] = None
#     ) -> Dict[str, Any]:
#         """
#         Call a tool, optionally specifying which source to use.
#         
#         If source_name is None, tries all sources until one succeeds.
#         
#         Args:
#             tool_name: Tool name
#             params: Tool parameters
#             source_name: Optional source to use
#         
#         Returns:
#             Tool result
#         
#         Raises:
#             RuntimeError: If no sources available or all fail
#         """
#         if source_name:
#             if source_name not in self.sources:
#                 raise ValueError(f"Unknown MCP source: {source_name}")
#             return await self.sources[source_name].call_tool(tool_name, params)
#         
#         # Try all sources
#         last_error = None
#         for name, source in self.sources.items():
#             try:
#                 return await source.call_tool(tool_name, params)
#             except Exception as e:
#                 last_error = e
#                 continue
#         
#         raise RuntimeError(
#             f"Failed to call tool '{tool_name}' from any MCP source. "
#             f"Last error: {last_error}"
#         )
