diff --git a/backend/app/main.py b/backend/app/main.py index 507c924a..c9bf04a4 100644 --- a/backend/app/main.py +++ b/backend/app/main.py @@ -12,7 +12,6 @@ import socketio from .core.unified_coordinator import UnifiedCoordinator from .core.database import engine, get_db, init_database_with_retry, test_database_connection from .api import agents, workflows, executions, monitoring, projects, tasks, cluster, distributed_workflows, cli_agents, auth -# from .mcp.distributed_mcp_server import get_mcp_server from .models.user import Base from .models import agent, project # Import the new agent and project models @@ -45,10 +44,6 @@ async def lifespan(app: FastAPI): print("🤖 Initializing Unified Coordinator...") await unified_coordinator.start() - # Initialize MCP server - # print("🔌 Initializing MCP server...") - # mcp_server = get_mcp_server() - # await mcp_server.initialize(distributed_coordinator) startup_success = True print("✅ Hive Orchestrator with Unified Coordinator started successfully!") diff --git a/backend/app/mcp/distributed_mcp_server.py b/backend/app/mcp/distributed_mcp_server.py deleted file mode 100644 index 4302d84e..00000000 --- a/backend/app/mcp/distributed_mcp_server.py +++ /dev/null @@ -1,1653 +0,0 @@ -""" -MCP Server for Distributed Hive Workflows -Model Context Protocol server providing distributed development workflow capabilities -""" - -import asyncio -import json -import logging -from typing import Any, Dict, List, Optional, Sequence -from datetime import datetime - -from mcp.server import Server -from mcp.server.models import InitializationOptions -from mcp.types import ( - CallToolResult, - GetPromptResult, - ListPromptsResult, - ListResourcesResult, - ListToolsResult, - Prompt, - ReadResourceResult, - Resource, - TextContent, - Tool -) - -from ..core.distributed_coordinator import DistributedCoordinator, TaskType, TaskPriority -import time - -logger = logging.getLogger(__name__) - -class DistributedHiveMCPServer: - """MCP Server for distributed Hive workflow management""" - - def __init__(self): - self.server = Server("distributed-hive") - self.coordinator: Optional[DistributedCoordinator] = None - self._setup_handlers() - - def _setup_handlers(self): - """Setup MCP server handlers""" - - @self.server.list_tools() - async def list_tools() -> ListToolsResult: - """List available distributed workflow tools""" - return ListToolsResult( - tools=[ - Tool( - name="submit_workflow", - description="Submit a complete development workflow for distributed execution across the cluster", - inputSchema={ - "type": "object", - "properties": { - "name": { - "type": "string", - "description": "Workflow name" - }, - "requirements": { - "type": "string", - "description": "Development requirements and specifications" - }, - "language": { - "type": "string", - "description": "Target programming language", - "default": "python" - }, - "context": { - "type": "string", - "description": "Additional context and constraints" - }, - "priority": { - "type": "string", - "enum": ["critical", "high", "normal", "low"], - "description": "Workflow priority level", - "default": "normal" - } - }, - "required": ["name", "requirements"] - } - ), - Tool( - name="get_workflow_status", - description="Get detailed status and progress of a workflow", - inputSchema={ - "type": "object", - "properties": { - "workflow_id": { - "type": "string", - "description": "Workflow identifier" - } - }, - "required": ["workflow_id"] - } - ), - Tool( - name="list_workflows", - description="List all workflows with their current status", - inputSchema={ - "type": "object", - "properties": { - "status": { - "type": "string", - "enum": ["pending", "executing", "completed", "failed"], - "description": "Filter workflows by status" - }, - "limit": { - "type": "integer", - "description": "Maximum number of workflows to return", - "default": 20 - } - } - } - ), - Tool( - name="get_cluster_status", - description="Get current cluster status and agent information", - inputSchema={ - "type": "object", - "properties": {} - } - ), - Tool( - name="get_performance_metrics", - description="Get comprehensive performance metrics for the distributed system", - inputSchema={ - "type": "object", - "properties": {} - } - ), - Tool( - name="cancel_workflow", - description="Cancel a running workflow and all its tasks", - inputSchema={ - "type": "object", - "properties": { - "workflow_id": { - "type": "string", - "description": "Workflow identifier to cancel" - } - }, - "required": ["workflow_id"] - } - ), - Tool( - name="optimize_cluster", - description="Trigger manual cluster optimization and performance tuning", - inputSchema={ - "type": "object", - "properties": {} - } - ), - Tool( - name="get_agent_details", - description="Get detailed information about a specific agent", - inputSchema={ - "type": "object", - "properties": { - "agent_id": { - "type": "string", - "description": "Agent identifier" - } - }, - "required": ["agent_id"] - } - ), - Tool( - name="execute_custom_task", - description="Execute a custom task on a specific agent or auto-select optimal agent", - inputSchema={ - "type": "object", - "properties": { - "task_type": { - "type": "string", - "enum": ["code_generation", "code_review", "testing", "compilation", "optimization", "documentation"], - "description": "Type of task to execute" - }, - "prompt": { - "type": "string", - "description": "Task prompt or instruction" - }, - "agent_id": { - "type": "string", - "description": "Specific agent to use (optional, auto-select if not provided)" - }, - "priority": { - "type": "string", - "enum": ["critical", "high", "normal", "low"], - "description": "Task priority", - "default": "normal" - } - }, - "required": ["task_type", "prompt"] - } - ), - Tool( - name="get_workflow_results", - description="Get detailed results from a completed workflow", - inputSchema={ - "type": "object", - "properties": { - "workflow_id": { - "type": "string", - "description": "Workflow identifier" - } - }, - "required": ["workflow_id"] - } - ), - Tool( - name="manage_agents", - description="Manage traditional Hive agents (list, register, get details)", - inputSchema={ - "type": "object", - "properties": { - "action": { - "type": "string", - "enum": ["list", "register", "get_details"], - "description": "Action to perform" - }, - "agent_data": { - "type": "object", - "description": "Agent data for registration", - "properties": { - "id": {"type": "string"}, - "endpoint": {"type": "string"}, - "model": {"type": "string"}, - "specialty": {"type": "string"}, - "max_concurrent": {"type": "integer"} - } - }, - "agent_id": { - "type": "string", - "description": "Agent ID for get_details action" - } - }, - "required": ["action"] - } - ), - Tool( - name="manage_tasks", - description="Manage traditional Hive tasks (create, get, list)", - inputSchema={ - "type": "object", - "properties": { - "action": { - "type": "string", - "enum": ["create", "get", "list"], - "description": "Action to perform" - }, - "task_data": { - "type": "object", - "description": "Task data for creation", - "properties": { - "type": {"type": "string"}, - "context": {"type": "object"}, - "priority": {"type": "integer"} - } - }, - "task_id": { - "type": "string", - "description": "Task ID for get action" - }, - "filters": { - "type": "object", - "description": "Filters for list action", - "properties": { - "status": {"type": "string"}, - "agent": {"type": "string"}, - "limit": {"type": "integer"} - } - } - }, - "required": ["action"] - } - ), - Tool( - name="manage_projects", - description="Manage projects (list, get details, get metrics, get tasks)", - inputSchema={ - "type": "object", - "properties": { - "action": { - "type": "string", - "enum": ["list", "get_details", "get_metrics", "get_tasks"], - "description": "Action to perform" - }, - "project_id": { - "type": "string", - "description": "Project ID for specific actions" - } - }, - "required": ["action"] - } - ), - Tool( - name="manage_cluster_nodes", - description="Manage cluster nodes (list, get details, get models, check health)", - inputSchema={ - "type": "object", - "properties": { - "action": { - "type": "string", - "enum": ["list", "get_details", "get_models", "get_overview", "get_metrics"], - "description": "Action to perform" - }, - "node_id": { - "type": "string", - "description": "Node ID for specific actions" - }, - "include_offline": { - "type": "boolean", - "description": "Include offline nodes in list", - "default": true - } - }, - "required": ["action"] - } - ), - Tool( - name="manage_executions", - description="Manage workflow executions and monitoring", - inputSchema={ - "type": "object", - "properties": { - "action": { - "type": "string", - "enum": ["list", "get_n8n_workflows", "get_n8n_executions"], - "description": "Action to perform" - }, - "limit": { - "type": "integer", - "description": "Limit for list actions", - "default": 10 - } - }, - "required": ["action"] - } - ), - Tool( - name="get_system_health", - description="Get comprehensive system health including all components", - inputSchema={ - "type": "object", - "properties": { - "include_detailed_metrics": { - "type": "boolean", - "description": "Include detailed performance metrics", - "default": false - } - } - } - ) - ] - ) - - @self.server.call_tool() - async def call_tool(name: str, arguments: Dict[str, Any]) -> CallToolResult: - """Handle tool calls for distributed workflow operations""" - - if not self.coordinator: - return CallToolResult( - content=[ - TextContent( - type="text", - text="Error: Distributed coordinator not initialized" - ) - ], - isError=True - ) - - try: - if name == "submit_workflow": - return await self._submit_workflow(arguments) - elif name == "get_workflow_status": - return await self._get_workflow_status(arguments) - elif name == "list_workflows": - return await self._list_workflows(arguments) - elif name == "get_cluster_status": - return await self._get_cluster_status() - elif name == "get_performance_metrics": - return await self._get_performance_metrics() - elif name == "cancel_workflow": - return await self._cancel_workflow(arguments) - elif name == "optimize_cluster": - return await self._optimize_cluster() - elif name == "get_agent_details": - return await self._get_agent_details(arguments) - elif name == "execute_custom_task": - return await self._execute_custom_task(arguments) - elif name == "get_workflow_results": - return await self._get_workflow_results(arguments) - elif name == "manage_agents": - return await self._manage_agents(arguments) - elif name == "manage_tasks": - return await self._manage_tasks(arguments) - elif name == "manage_projects": - return await self._manage_projects(arguments) - elif name == "manage_cluster_nodes": - return await self._manage_cluster_nodes(arguments) - elif name == "manage_executions": - return await self._manage_executions(arguments) - elif name == "get_system_health": - return await self._get_system_health(arguments) - else: - return CallToolResult( - content=[ - TextContent( - type="text", - text=f"Unknown tool: {name}" - ) - ], - isError=True - ) - - except Exception as e: - logger.error(f"Tool call error for {name}: {e}") - return CallToolResult( - content=[ - TextContent( - type="text", - text=f"Error executing {name}: {str(e)}" - ) - ], - isError=True - ) - - @self.server.list_prompts() - async def list_prompts() -> ListPromptsResult: - """List available workflow prompts""" - return ListPromptsResult( - prompts=[ - Prompt( - name="full_stack_app", - description="Generate a complete full-stack application with frontend, backend, tests, and deployment" - ), - Prompt( - name="api_development", - description="Develop a RESTful API with comprehensive testing and documentation" - ), - Prompt( - name="performance_optimization", - description="Analyze and optimize existing code for better performance" - ), - Prompt( - name="code_review_workflow", - description="Comprehensive code review with security analysis and best practices" - ), - Prompt( - name="microservice_architecture", - description="Design and implement a microservices-based system" - ) - ] - ) - - @self.server.get_prompt() - async def get_prompt(name: str, arguments: Dict[str, str]) -> GetPromptResult: - """Get specific workflow prompt templates""" - - prompts = { - "full_stack_app": { - "description": "Complete full-stack application development workflow", - "template": """ -Create a full-stack application with the following requirements: - -Application Type: {app_type} -Tech Stack: {tech_stack} -Features: {features} -Database: {database} - -This workflow will: -1. Generate backend API with authentication -2. Create frontend interface with responsive design -3. Implement comprehensive testing suite -4. Set up deployment configuration -5. Optimize for production performance - -Requirements: {requirements} - """, - "defaults": { - "app_type": "Web Application", - "tech_stack": "Python FastAPI + React", - "features": "User authentication, CRUD operations, real-time updates", - "database": "PostgreSQL", - "requirements": "Modern, scalable, and maintainable application" - } - }, - "api_development": { - "description": "RESTful API development with testing and docs", - "template": """ -Develop a RESTful API with the following specifications: - -API Purpose: {api_purpose} -Framework: {framework} -Database: {database} -Authentication: {auth_method} - -This workflow will: -1. Design API endpoints and data models -2. Implement CRUD operations with validation -3. Add authentication and authorization -4. Create comprehensive test suite -5. Generate API documentation -6. Set up monitoring and logging - -Requirements: {requirements} - """, - "defaults": { - "api_purpose": "Data management system", - "framework": "FastAPI", - "database": "PostgreSQL", - "auth_method": "JWT tokens", - "requirements": "Secure, well-documented, and thoroughly tested API" - } - }, - "performance_optimization": { - "description": "Code performance analysis and optimization", - "template": """ -Analyze and optimize the following code for better performance: - -Code Language: {language} -Performance Issues: {issues} -Target Metrics: {metrics} -Constraints: {constraints} - -This workflow will: -1. Profile existing code to identify bottlenecks -2. Analyze algorithmic complexity -3. Implement optimizations for CPU and memory usage -4. Add caching where appropriate -5. Create performance benchmarks -6. Validate improvements with testing - -Code to optimize: {code} - """, - "defaults": { - "language": "Python", - "issues": "Slow response times, high memory usage", - "metrics": "Reduce response time by 50%, decrease memory usage by 30%", - "constraints": "Maintain existing functionality and API compatibility", - "code": "// Paste your code here" - } - } - } - - if name not in prompts: - raise ValueError(f"Unknown prompt: {name}") - - prompt_config = prompts[name] - template = prompt_config["template"] - - # Fill in provided arguments or use defaults - format_args = {} - for key, default_value in prompt_config["defaults"].items(): - format_args[key] = arguments.get(key, default_value) - - try: - formatted_prompt = template.format(**format_args) - except KeyError as e: - # Handle missing format keys gracefully - formatted_prompt = f"Template error: {str(e)}\n\nTemplate: {template}" - - return GetPromptResult( - description=prompt_config["description"], - messages=[ - TextContent( - type="text", - text=formatted_prompt - ) - ] - ) - - @self.server.list_resources() - async def list_resources() -> ListResourcesResult: - """List available workflow resources""" - return ListResourcesResult( - resources=[ - Resource( - uri="cluster://status", - name="Cluster Status", - description="Current cluster status and agent information", - mimeType="application/json" - ), - Resource( - uri="metrics://performance", - name="Performance Metrics", - description="Comprehensive system performance metrics", - mimeType="application/json" - ), - Resource( - uri="workflows://active", - name="Active Workflows", - description="Currently running workflows", - mimeType="application/json" - ), - Resource( - uri="agents://capabilities", - name="Agent Capabilities", - description="Detailed agent capabilities and specializations", - mimeType="application/json" - ) - ] - ) - - @self.server.read_resource() - async def read_resource(uri: str) -> ReadResourceResult: - """Read workflow system resources""" - - if not self.coordinator: - return ReadResourceResult( - contents=[ - TextContent( - type="text", - text="Error: Distributed coordinator not initialized" - ) - ] - ) - - try: - if uri == "cluster://status": - status = await self._get_cluster_status_data() - return ReadResourceResult( - contents=[ - TextContent( - type="text", - text=json.dumps(status, indent=2) - ) - ] - ) - elif uri == "metrics://performance": - metrics = await self._get_performance_metrics_data() - return ReadResourceResult( - contents=[ - TextContent( - type="text", - text=json.dumps(metrics, indent=2) - ) - ] - ) - elif uri == "workflows://active": - workflows = await self._get_active_workflows() - return ReadResourceResult( - contents=[ - TextContent( - type="text", - text=json.dumps(workflows, indent=2) - ) - ] - ) - elif uri == "agents://capabilities": - capabilities = await self._get_agent_capabilities() - return ReadResourceResult( - contents=[ - TextContent( - type="text", - text=json.dumps(capabilities, indent=2) - ) - ] - ) - else: - return ReadResourceResult( - contents=[ - TextContent( - type="text", - text=f"Unknown resource: {uri}" - ) - ] - ) - - except Exception as e: - logger.error(f"Resource read error for {uri}: {e}") - return ReadResourceResult( - contents=[ - TextContent( - type="text", - text=f"Error reading resource {uri}: {str(e)}" - ) - ] - ) - - async def _submit_workflow(self, arguments: Dict[str, Any]) -> CallToolResult: - """Submit a new workflow for distributed execution""" - workflow_dict = { - "name": arguments["name"], - "requirements": arguments["requirements"], - "language": arguments.get("language", "python"), - "context": arguments.get("context", ""), - "priority": arguments.get("priority", "normal") - } - - workflow_id = await self.coordinator.submit_workflow(workflow_dict) - - result = { - "workflow_id": workflow_id, - "status": "submitted", - "message": f"Workflow '{arguments['name']}' submitted successfully for distributed execution", - "estimated_tasks": 5, # Standard workflow has 5 main tasks - "timestamp": datetime.now().isoformat() - } - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(result, indent=2) - ) - ] - ) - - async def _get_workflow_status(self, arguments: Dict[str, Any]) -> CallToolResult: - """Get workflow status and progress""" - workflow_id = arguments["workflow_id"] - status = await self.coordinator.get_workflow_status(workflow_id) - - if "error" in status: - return CallToolResult( - content=[ - TextContent( - type="text", - text=f"Workflow not found: {workflow_id}" - ) - ], - isError=True - ) - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(status, indent=2) - ) - ] - ) - - async def _list_workflows(self, arguments: Dict[str, Any]) -> CallToolResult: - """List workflows with optional filtering""" - # Implementation would call coordinator methods to list workflows - workflows = [] - for task in self.coordinator.tasks.values(): - workflow_id = task.payload.get("workflow_id") - if workflow_id and workflow_id not in [w["workflow_id"] for w in workflows]: - workflows.append({ - "workflow_id": workflow_id, - "status": task.status, - "created_at": task.created_at - }) - - # Apply status filter if provided - status_filter = arguments.get("status") - if status_filter: - workflows = [w for w in workflows if w["status"] == status_filter] - - # Apply limit - limit = arguments.get("limit", 20) - workflows = workflows[:limit] - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(workflows, indent=2) - ) - ] - ) - - async def _get_cluster_status(self) -> CallToolResult: - """Get current cluster status""" - status = await self._get_cluster_status_data() - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(status, indent=2) - ) - ] - ) - - async def _get_cluster_status_data(self) -> Dict[str, Any]: - """Get cluster status data""" - agents_info = [] - total_capacity = 0 - current_load = 0 - healthy_agents = 0 - - for agent in self.coordinator.agents.values(): - if agent.health_status == "healthy": - healthy_agents += 1 - - total_capacity += agent.max_concurrent - current_load += agent.current_load - - agents_info.append({ - "id": agent.id, - "endpoint": agent.endpoint, - "model": agent.model, - "gpu_type": agent.gpu_type, - "specializations": [spec.value for spec in agent.specializations], - "max_concurrent": agent.max_concurrent, - "current_load": agent.current_load, - "utilization": (agent.current_load / agent.max_concurrent) * 100, - "performance_score": round(agent.performance_score, 3), - "health_status": agent.health_status - }) - - utilization = (current_load / total_capacity) * 100 if total_capacity > 0 else 0 - - return { - "total_agents": len(self.coordinator.agents), - "healthy_agents": healthy_agents, - "total_capacity": total_capacity, - "current_load": current_load, - "utilization": round(utilization, 2), - "agents": agents_info, - "timestamp": datetime.now().isoformat() - } - - async def _get_performance_metrics(self) -> CallToolResult: - """Get performance metrics""" - metrics = await self._get_performance_metrics_data() - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(metrics, indent=2) - ) - ] - ) - - async def _get_performance_metrics_data(self) -> Dict[str, Any]: - """Get performance metrics data""" - # Calculate basic metrics - total_workflows = len([task for task in self.coordinator.tasks.values() - if task.type.value == "code_generation"]) - completed_workflows = len([task for task in self.coordinator.tasks.values() - if task.type.value == "code_generation" and task.status == "completed"]) - - # Agent performance metrics - agent_performance = {} - for agent_id, agent in self.coordinator.agents.items(): - performance_history = self.coordinator.performance_history.get(agent_id, []) - agent_performance[agent_id] = { - "avg_response_time": sum(performance_history) / len(performance_history) if performance_history else 0.0, - "performance_score": agent.performance_score, - "total_tasks": len(performance_history), - "current_utilization": (agent.current_load / agent.max_concurrent) * 100 - } - - return { - "total_workflows": total_workflows, - "completed_workflows": completed_workflows, - "agent_performance": agent_performance, - "timestamp": datetime.now().isoformat() - } - - async def _cancel_workflow(self, arguments: Dict[str, Any]) -> CallToolResult: - """Cancel a workflow""" - workflow_id = arguments["workflow_id"] - - # Find and cancel workflow tasks - workflow_tasks = [ - task for task in self.coordinator.tasks.values() - if task.payload.get("workflow_id") == workflow_id - ] - - if not workflow_tasks: - return CallToolResult( - content=[ - TextContent( - type="text", - text=f"Workflow not found: {workflow_id}" - ) - ], - isError=True - ) - - cancelled_count = 0 - for task in workflow_tasks: - if task.status in ["pending", "executing"]: - task.status = "cancelled" - cancelled_count += 1 - - result = { - "workflow_id": workflow_id, - "cancelled_tasks": cancelled_count, - "message": f"Cancelled {cancelled_count} tasks for workflow {workflow_id}", - "timestamp": datetime.now().isoformat() - } - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(result, indent=2) - ) - ] - ) - - async def _optimize_cluster(self) -> CallToolResult: - """Trigger cluster optimization""" - await self.coordinator._optimize_agent_parameters() - await self.coordinator._cleanup_completed_tasks() - - result = { - "message": "Cluster optimization completed", - "optimizations_applied": [ - "Agent parameter tuning", - "Completed task cleanup", - "Performance metric updates" - ], - "timestamp": datetime.now().isoformat() - } - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(result, indent=2) - ) - ] - ) - - async def _get_agent_details(self, arguments: Dict[str, Any]) -> CallToolResult: - """Get detailed agent information""" - agent_id = arguments["agent_id"] - - if agent_id not in self.coordinator.agents: - return CallToolResult( - content=[ - TextContent( - type="text", - text=f"Agent not found: {agent_id}" - ) - ], - isError=True - ) - - agent = self.coordinator.agents[agent_id] - performance_history = self.coordinator.performance_history.get(agent_id, []) - - agent_details = { - "id": agent.id, - "endpoint": agent.endpoint, - "model": agent.model, - "gpu_type": agent.gpu_type, - "specializations": [spec.value for spec in agent.specializations], - "max_concurrent": agent.max_concurrent, - "current_load": agent.current_load, - "performance_score": agent.performance_score, - "health_status": agent.health_status, - "performance_history": { - "total_tasks": len(performance_history), - "avg_response_time": sum(performance_history) / len(performance_history) if performance_history else 0.0, - "last_response_time": agent.last_response_time - } - } - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(agent_details, indent=2) - ) - ] - ) - - async def _execute_custom_task(self, arguments: Dict[str, Any]) -> CallToolResult: - """Execute a custom task""" - from ..core.distributed_coordinator import Task, TaskType, TaskPriority - import time - - # Map string to enum - task_type_map = { - "code_generation": TaskType.CODE_GENERATION, - "code_review": TaskType.CODE_REVIEW, - "testing": TaskType.TESTING, - "compilation": TaskType.COMPILATION, - "optimization": TaskType.OPTIMIZATION, - "documentation": TaskType.DOCUMENTATION - } - - priority_map = { - "critical": TaskPriority.CRITICAL, - "high": TaskPriority.HIGH, - "normal": TaskPriority.NORMAL, - "low": TaskPriority.LOW - } - - task_type = task_type_map[arguments["task_type"]] - priority = priority_map.get(arguments.get("priority", "normal"), TaskPriority.NORMAL) - - # Create custom task - task = Task( - id=f"custom_{int(time.time())}", - type=task_type, - priority=priority, - payload={ - "custom_prompt": arguments["prompt"], - "workflow_id": f"custom_{int(time.time())}" - } - ) - - # Add to coordinator - self.coordinator.tasks[task.id] = task - await self.coordinator.task_queue.put(task) - - result = { - "task_id": task.id, - "status": "submitted", - "message": f"Custom {task_type.value} task submitted successfully", - "timestamp": datetime.now().isoformat() - } - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(result, indent=2) - ) - ] - ) - - async def _get_workflow_results(self, arguments: Dict[str, Any]) -> CallToolResult: - """Get detailed workflow results""" - workflow_id = arguments["workflow_id"] - - workflow_tasks = [ - task for task in self.coordinator.tasks.values() - if task.payload.get("workflow_id") == workflow_id - ] - - if not workflow_tasks: - return CallToolResult( - content=[ - TextContent( - type="text", - text=f"Workflow not found: {workflow_id}" - ) - ], - isError=True - ) - - results = { - "workflow_id": workflow_id, - "tasks": [] - } - - for task in workflow_tasks: - task_result = { - "task_id": task.id, - "type": task.type.value, - "status": task.status, - "assigned_agent": task.assigned_agent, - "result": task.result - } - results["tasks"].append(task_result) - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(results, indent=2) - ) - ] - ) - - async def _get_active_workflows(self) -> List[Dict[str, Any]]: - """Get active workflows data""" - workflows = {} - for task in self.coordinator.tasks.values(): - workflow_id = task.payload.get("workflow_id") - if workflow_id and task.status in ["pending", "executing"]: - if workflow_id not in workflows: - workflows[workflow_id] = { - "workflow_id": workflow_id, - "status": "active", - "tasks": [] - } - workflows[workflow_id]["tasks"].append({ - "task_id": task.id, - "type": task.type.value, - "status": task.status - }) - - return list(workflows.values()) - - async def _get_agent_capabilities(self) -> Dict[str, Any]: - """Get agent capabilities data""" - capabilities = {} - for agent in self.coordinator.agents.values(): - capabilities[agent.id] = { - "model": agent.model, - "gpu_type": agent.gpu_type, - "specializations": [spec.value for spec in agent.specializations], - "max_concurrent": agent.max_concurrent, - "performance_score": agent.performance_score - } - - return capabilities - - async def _manage_agents(self, arguments: Dict[str, Any]) -> CallToolResult: - """Manage traditional Hive agents""" - action = arguments["action"] - - try: - if action == "list": - # Get agents from database via API simulation - agents_data = { - "agents": [], - "total": 0, - "message": "Retrieved agents from traditional Hive coordinator" - } - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(agents_data, indent=2) - ) - ] - ) - - elif action == "register": - agent_data = arguments.get("agent_data", {}) - if not agent_data: - raise ValueError("agent_data required for registration") - - result = { - "status": "success", - "message": f"Agent {agent_data.get('id', 'unknown')} would be registered", - "agent_id": agent_data.get("id"), - "note": "This is a simulated registration - actual implementation would use the database" - } - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(result, indent=2) - ) - ] - ) - - elif action == "get_details": - agent_id = arguments.get("agent_id") - if not agent_id: - raise ValueError("agent_id required for get_details") - - # Check if agent exists in distributed coordinator - if agent_id in self.coordinator.agents: - agent = self.coordinator.agents[agent_id] - agent_details = { - "id": agent.id, - "endpoint": agent.endpoint, - "model": agent.model, - "gpu_type": agent.gpu_type, - "specializations": [spec.value for spec in agent.specializations], - "max_concurrent": agent.max_concurrent, - "current_load": agent.current_load, - "performance_score": agent.performance_score, - "health_status": agent.health_status, - "source": "distributed_coordinator" - } - else: - agent_details = { - "error": f"Agent {agent_id} not found in distributed coordinator", - "note": "Agent may exist in traditional Hive database" - } - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(agent_details, indent=2) - ) - ] - ) - - except Exception as e: - return CallToolResult( - content=[ - TextContent( - type="text", - text=f"Error managing agents: {str(e)}" - ) - ], - isError=True - ) - - async def _manage_tasks(self, arguments: Dict[str, Any]) -> CallToolResult: - """Manage traditional Hive tasks""" - action = arguments["action"] - - try: - if action == "create": - task_data = arguments.get("task_data", {}) - if not task_data: - raise ValueError("task_data required for creation") - - result = { - "id": f"task_{int(time.time())}", - "type": task_data.get("type"), - "priority": task_data.get("priority", 3), - "status": "created", - "context": task_data.get("context", {}), - "created_at": datetime.now().isoformat(), - "note": "This is a simulated task creation - actual implementation would use the traditional Hive coordinator" - } - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(result, indent=2) - ) - ] - ) - - elif action == "get": - task_id = arguments.get("task_id") - if not task_id: - raise ValueError("task_id required for get action") - - # Check if task exists in distributed coordinator - task_found = False - for task in self.coordinator.tasks.values(): - if task.id == task_id: - task_details = { - "id": task.id, - "type": task.type.value, - "priority": task.priority.value, - "status": task.status, - "assigned_agent": task.assigned_agent, - "result": task.result, - "created_at": task.created_at, - "source": "distributed_coordinator" - } - task_found = True - break - - if not task_found: - task_details = { - "error": f"Task {task_id} not found in distributed coordinator", - "note": "Task may exist in traditional Hive database" - } - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(task_details, indent=2) - ) - ] - ) - - elif action == "list": - filters = arguments.get("filters", {}) - - # Get tasks from distributed coordinator - tasks = [] - for task in self.coordinator.tasks.values(): - task_info = { - "id": task.id, - "type": task.type.value, - "priority": task.priority.value, - "status": task.status, - "assigned_agent": task.assigned_agent, - "created_at": task.created_at, - "source": "distributed_coordinator" - } - - # Apply filters - if filters.get("status") and task.status != filters["status"]: - continue - if filters.get("agent") and task.assigned_agent != filters["agent"]: - continue - - tasks.append(task_info) - - # Apply limit - limit = filters.get("limit", 20) - tasks = tasks[:limit] - - result = { - "tasks": tasks, - "total": len(tasks), - "filtered": bool(filters), - "source": "distributed_coordinator" - } - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(result, indent=2) - ) - ] - ) - - except Exception as e: - return CallToolResult( - content=[ - TextContent( - type="text", - text=f"Error managing tasks: {str(e)}" - ) - ], - isError=True - ) - - async def _manage_projects(self, arguments: Dict[str, Any]) -> CallToolResult: - """Manage projects""" - action = arguments["action"] - - try: - result = { - "action": action, - "note": "Project management would integrate with the ProjectService and filesystem scanning", - "timestamp": datetime.now().isoformat() - } - - if action == "list": - result.update({ - "projects": [], - "total": 0, - "message": "No projects found - this would scan /home/tony/AI/projects/" - }) - - elif action == "get_details": - project_id = arguments.get("project_id") - if not project_id: - raise ValueError("project_id required for get_details") - - result.update({ - "project_id": project_id, - "message": f"Would retrieve details for project {project_id}" - }) - - elif action == "get_metrics": - project_id = arguments.get("project_id") - if not project_id: - raise ValueError("project_id required for get_metrics") - - result.update({ - "project_id": project_id, - "metrics": {}, - "message": f"Would retrieve metrics for project {project_id}" - }) - - elif action == "get_tasks": - project_id = arguments.get("project_id") - if not project_id: - raise ValueError("project_id required for get_tasks") - - result.update({ - "project_id": project_id, - "tasks": [], - "message": f"Would retrieve tasks for project {project_id}" - }) - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(result, indent=2) - ) - ] - ) - - except Exception as e: - return CallToolResult( - content=[ - TextContent( - type="text", - text=f"Error managing projects: {str(e)}" - ) - ], - isError=True - ) - - async def _manage_cluster_nodes(self, arguments: Dict[str, Any]) -> CallToolResult: - """Manage cluster nodes""" - action = arguments["action"] - - try: - result = { - "action": action, - "note": "Cluster node management would integrate with the ClusterService", - "timestamp": datetime.now().isoformat() - } - - if action == "list": - result.update({ - "nodes": [], - "total": 0, - "message": "Would list all cluster nodes from ClusterService" - }) - - elif action == "get_details": - node_id = arguments.get("node_id") - if not node_id: - raise ValueError("node_id required for get_details") - - result.update({ - "node_id": node_id, - "message": f"Would retrieve details for node {node_id}" - }) - - elif action == "get_models": - result.update({ - "models": {}, - "message": "Would retrieve available models across all nodes" - }) - - elif action == "get_overview": - result.update({ - "overview": {}, - "message": "Would retrieve cluster overview from ClusterService" - }) - - elif action == "get_metrics": - result.update({ - "metrics": {}, - "message": "Would retrieve cluster metrics from ClusterService" - }) - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(result, indent=2) - ) - ] - ) - - except Exception as e: - return CallToolResult( - content=[ - TextContent( - type="text", - text=f"Error managing cluster nodes: {str(e)}" - ) - ], - isError=True - ) - - async def _manage_executions(self, arguments: Dict[str, Any]) -> CallToolResult: - """Manage executions and monitoring""" - action = arguments["action"] - - try: - result = { - "action": action, - "note": "Execution management would integrate with ClusterService for n8n workflows", - "timestamp": datetime.now().isoformat() - } - - if action == "list": - result.update({ - "executions": [], - "total": 0, - "message": "Would list executions from traditional Hive coordinator" - }) - - elif action == "get_n8n_workflows": - result.update({ - "workflows": [], - "message": "Would retrieve n8n workflows from cluster" - }) - - elif action == "get_n8n_executions": - limit = arguments.get("limit", 10) - result.update({ - "executions": [], - "limit": limit, - "message": f"Would retrieve {limit} recent n8n executions" - }) - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(result, indent=2) - ) - ] - ) - - except Exception as e: - return CallToolResult( - content=[ - TextContent( - type="text", - text=f"Error managing executions: {str(e)}" - ) - ], - isError=True - ) - - async def _get_system_health(self, arguments: Dict[str, Any]) -> CallToolResult: - """Get comprehensive system health""" - include_detailed = arguments.get("include_detailed_metrics", False) - - try: - # Get distributed system health - cluster_status = await self._get_cluster_status_data() - performance_metrics = await self._get_performance_metrics_data() - - health_data = { - "overall_status": "healthy", - "timestamp": datetime.now().isoformat(), - "components": { - "distributed_coordinator": "operational", - "cluster_agents": f"{cluster_status['healthy_agents']}/{cluster_status['total_agents']} healthy", - "task_queue": "operational", - "performance_monitor": "operational" - }, - "cluster_summary": { - "total_agents": cluster_status['total_agents'], - "healthy_agents": cluster_status['healthy_agents'], - "utilization": cluster_status['utilization'], - "total_workflows": performance_metrics['total_workflows'], - "completed_workflows": performance_metrics['completed_workflows'] - } - } - - if include_detailed: - health_data["detailed_metrics"] = { - "cluster_status": cluster_status, - "performance_metrics": performance_metrics, - "agent_details": list(cluster_status['agents']) - } - - # Check for critical issues - if cluster_status['healthy_agents'] == 0: - health_data["overall_status"] = "critical" - health_data["alerts"] = ["No healthy agents available"] - elif cluster_status['healthy_agents'] < cluster_status['total_agents'] / 2: - health_data["overall_status"] = "degraded" - health_data["alerts"] = ["Less than 50% of agents are healthy"] - - return CallToolResult( - content=[ - TextContent( - type="text", - text=json.dumps(health_data, indent=2) - ) - ] - ) - - except Exception as e: - return CallToolResult( - content=[ - TextContent( - type="text", - text=f"Error getting system health: {str(e)}" - ) - ], - isError=True - ) - - async def _get_projects_data(self) -> Dict[str, Any]: - """Get projects data - placeholder for ProjectService integration""" - return { - "projects": [], - "total": 0, - "message": "Project data would come from ProjectService scanning /home/tony/AI/projects/", - "timestamp": datetime.now().isoformat() - } - - async def _get_task_history_data(self) -> Dict[str, Any]: - """Get task execution history data""" - history = [] - - # Get task history from distributed coordinator - for task in self.coordinator.tasks.values(): - if task.status in ["completed", "failed"]: - history.append({ - "task_id": task.id, - "type": task.type.value, - "status": task.status, - "assigned_agent": task.assigned_agent, - "created_at": task.created_at, - "execution_time": "unknown", # Would be calculated from actual timestamps - "workflow_id": task.payload.get("workflow_id") - }) - - return { - "task_history": history, - "total_tasks": len(history), - "completed_tasks": len([t for t in history if t["status"] == "completed"]), - "failed_tasks": len([t for t in history if t["status"] == "failed"]), - "timestamp": datetime.now().isoformat() - } - - async def _get_cluster_nodes_data(self) -> Dict[str, Any]: - """Get cluster nodes data - placeholder for ClusterService integration""" - return { - "nodes": [], - "total_nodes": 0, - "online_nodes": 0, - "message": "Node data would come from ClusterService", - "timestamp": datetime.now().isoformat() - } - - async def _get_n8n_executions_data(self) -> Dict[str, Any]: - """Get n8n executions data - placeholder for ClusterService integration""" - return { - "executions": [], - "total_executions": 0, - "recent_executions": 0, - "message": "N8N execution data would come from ClusterService", - "timestamp": datetime.now().isoformat() - } - - async def _get_system_health_data(self) -> Dict[str, Any]: - """Get comprehensive system health data""" - cluster_status = await self._get_cluster_status_data() - performance_metrics = await self._get_performance_metrics_data() - - return { - "overall_status": "healthy", - "timestamp": datetime.now().isoformat(), - "components": { - "distributed_coordinator": "operational", - "cluster_agents": f"{cluster_status['healthy_agents']}/{cluster_status['total_agents']} healthy", - "performance_monitor": "operational", - "task_queue": "operational" - }, - "summary": { - "total_agents": cluster_status['total_agents'], - "healthy_agents": cluster_status['healthy_agents'], - "cluster_utilization": cluster_status['utilization'], - "total_workflows": performance_metrics['total_workflows'], - "completed_workflows": performance_metrics['completed_workflows'] - } - } - - async def initialize(self, coordinator: DistributedCoordinator): - """Initialize the MCP server with a coordinator instance""" - self.coordinator = coordinator - logger.info("Distributed Hive MCP Server initialized") - - def get_server(self) -> Server: - """Get the MCP server instance""" - return self.server - - -# Global server instance -mcp_server = DistributedHiveMCPServer() - -def get_mcp_server() -> DistributedHiveMCPServer: - """Get the global MCP server instance""" - return mcp_server \ No newline at end of file