Major refactoring: - Created UnifiedCoordinator that combines HiveCoordinator and DistributedCoordinator - Eliminated code duplication and architectural redundancy - Unified agent management, task orchestration, and workflow execution - Single coordinator instance replaces two global coordinators - Backward compatibility maintained through state aliases Key features of UnifiedCoordinator: ✅ Combined agent types: Ollama + CLI agents with unified management ✅ Dual task modes: Simple tasks + complex distributed workflows ✅ Performance monitoring: Prometheus metrics + adaptive load balancing ✅ Background processes: Health monitoring + performance optimization ✅ Redis integration: Distributed caching and coordination (optional) ✅ Database integration: Agent loading + task persistence preparation API updates: - Updated all API endpoints to use unified coordinator - Maintained interface compatibility for existing endpoints - Fixed attribute references for unified agent model - Simplified dependency injection pattern Architecture benefits: - Single point of coordination eliminates race conditions - Reduced memory footprint (one coordinator vs two) - Simplified initialization and lifecycle management - Consistent feature set across all orchestration modes - Better separation of concerns within single coordinator class This resolves the critical architectural issue of redundant coordinators while maintaining full backward compatibility and adding enhanced features. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
109 lines
3.6 KiB
Python
109 lines
3.6 KiB
Python
from fastapi import APIRouter, Depends, HTTPException, Query
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from typing import List, Dict, Any, Optional
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from ..core.auth import get_current_user
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from ..core.unified_coordinator import UnifiedCoordinator, AgentType, TaskStatus
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router = APIRouter()
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# This will be injected by main.py
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coordinator: UnifiedCoordinator = None
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def set_coordinator(coord: UnifiedCoordinator):
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global coordinator
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coordinator = coord
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@router.post("/tasks")
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async def create_task(task_data: Dict[str, Any]):
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"""Create a new development task"""
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try:
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# Map string type to AgentType enum
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task_type_str = task_data.get("type")
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if task_type_str not in [t.value for t in AgentType]:
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raise HTTPException(status_code=400, detail=f"Invalid task type: {task_type_str}")
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task_type = AgentType(task_type_str)
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priority = task_data.get("priority", 3)
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context = task_data.get("context", {})
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# Create task using coordinator
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task = coordinator.create_task(task_type, context, priority)
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return {
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"id": task.id,
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"type": task.type.value,
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"priority": task.priority,
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"status": task.status.value,
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"context": task.context,
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"created_at": task.created_at,
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}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@router.get("/tasks/{task_id}")
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async def get_task(task_id: str, current_user: dict = Depends(get_current_user)):
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"""Get details of a specific task"""
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task = coordinator.get_task_status(task_id)
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if not task:
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raise HTTPException(status_code=404, detail="Task not found")
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return {
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"id": task.id,
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"type": task.type.value,
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"priority": task.priority,
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"status": task.status.value,
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"context": task.context,
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"assigned_agent": task.assigned_agent,
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"result": task.result,
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"created_at": task.created_at,
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"completed_at": task.completed_at,
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}
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@router.get("/tasks")
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async def get_tasks(
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status: Optional[str] = Query(None, description="Filter by task status"),
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agent: Optional[str] = Query(None, description="Filter by assigned agent"),
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limit: int = Query(20, description="Maximum number of tasks to return"),
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current_user: dict = Depends(get_current_user)
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):
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"""Get list of tasks with optional filtering"""
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# Get all tasks from coordinator
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all_tasks = list(coordinator.tasks.values())
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# Apply filters
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filtered_tasks = all_tasks
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if status:
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try:
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status_enum = TaskStatus(status)
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filtered_tasks = [t for t in filtered_tasks if t.status == status_enum]
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except ValueError:
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raise HTTPException(status_code=400, detail=f"Invalid status: {status}")
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if agent:
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filtered_tasks = [t for t in filtered_tasks if t.assigned_agent == agent]
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# Sort by creation time (newest first) and limit
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filtered_tasks.sort(key=lambda t: t.created_at or 0, reverse=True)
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filtered_tasks = filtered_tasks[:limit]
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# Format response
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tasks = []
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for task in filtered_tasks:
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tasks.append({
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"id": task.id,
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"type": task.type.value,
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"priority": task.priority,
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"status": task.status.value,
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"context": task.context,
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"assigned_agent": task.assigned_agent,
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"result": task.result,
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"created_at": task.created_at,
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"completed_at": task.completed_at,
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})
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return {
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"tasks": tasks,
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"total": len(tasks),
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"filtered": len(all_tasks) != len(tasks),
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} |