d7ad321176
This comprehensive implementation includes: - FastAPI backend with MCP server integration - React/TypeScript frontend with Vite - PostgreSQL database with Redis caching - Grafana/Prometheus monitoring stack - Docker Compose orchestration - Full MCP protocol support for Claude Code integration Features: - Agent discovery and management across network - Visual workflow editor and execution engine - Real-time task coordination and monitoring - Multi-model support with specialized agents - Distributed development task allocation 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
72 lines
1.9 KiB
Python
72 lines
1.9 KiB
Python
from pydantic import BaseModel
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from datetime import datetime
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from typing import Dict, Any, List, Optional
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# Workflow Models
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class WorkflowCreate(BaseModel):
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name: str
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description: Optional[str] = None
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n8n_data: Dict[str, Any]
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class WorkflowModel(BaseModel):
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id: str
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name: str
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description: Optional[str] = None
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n8n_data: Dict[str, Any]
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created_at: datetime
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updated_at: datetime
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active: bool = True
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class WorkflowResponse(BaseModel):
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id: str
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name: str
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description: Optional[str] = None
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node_count: int
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connection_count: int
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created_at: datetime
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updated_at: datetime
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active: bool
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# Execution Models
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class ExecutionLog(BaseModel):
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timestamp: str
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level: str # info, warn, error
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message: str
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data: Optional[Any] = None
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class ExecutionCreate(BaseModel):
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input_data: Dict[str, Any]
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class ExecutionModel(BaseModel):
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id: str
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workflow_id: str
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workflow_name: str
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status: str # pending, running, completed, error, cancelled
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started_at: datetime
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completed_at: Optional[datetime] = None
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input_data: Dict[str, Any]
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output_data: Optional[Dict[str, Any]] = None
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error_message: Optional[str] = None
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logs: List[ExecutionLog] = []
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class ExecutionResponse(BaseModel):
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id: str
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workflow_id: str
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workflow_name: str
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status: str
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started_at: datetime
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completed_at: Optional[datetime] = None
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input_data: Dict[str, Any]
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output_data: Optional[Dict[str, Any]] = None
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error_message: Optional[str] = None
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logs: Optional[List[ExecutionLog]] = None
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# Node Status for WebSocket updates
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class NodeStatus(BaseModel):
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node_id: str
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node_name: str
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status: str # pending, running, completed, error
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started_at: Optional[datetime] = None
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completed_at: Optional[datetime] = None
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result: Optional[Any] = None
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error: Optional[str] = None |