Hermes Agent
83 lines
3.4 KiB
Python
83 lines
3.4 KiB
Python
import time
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from datetime import datetime
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from typing import Any
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.models import Agent, Workflow, WorkflowRun
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from app.services.llm import LLMService
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class WorkflowService:
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def __init__(self, db: AsyncSession):
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self.db = db
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self.llm = LLMService(db)
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async def run(self, workflow: Workflow, inputs: dict[str, Any]) -> WorkflowRun:
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started = time.time()
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definition = workflow.published_definition or workflow.definition or {}
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run = WorkflowRun(
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workflow_id=workflow.id,
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status="running",
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inputs=inputs,
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outputs={},
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execution_log=[],
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started_at=datetime.utcnow(),
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)
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self.db.add(run)
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await self.db.flush()
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variables: dict[str, Any] = dict(inputs)
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log: list[dict[str, Any]] = []
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try:
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nodes = definition.get("nodes") or []
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for node in nodes:
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node_type = node.get("type", "unknown")
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node_id = node.get("id", node_type)
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data = node.get("data") or {}
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entry = {"node_id": node_id, "node_type": node_type, "status": "completed"}
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if node_type == "start":
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entry["output"] = variables
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elif node_type == "llm":
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agent_id = data.get("agent_id")
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prompt = data.get("prompt") or inputs.get("task") or inputs.get("message") or ""
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agent = await self.db.get(Agent, agent_id) if agent_id else None
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if agent:
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result = await self.llm.complete(agent, prompt)
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else:
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result = f"LLM 节点占位输出：{prompt}"
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variables[node_id] = result
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entry["output"] = result
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elif node_type == "agent":
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agent_id = data.get("agent_id")
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agent = await self.db.get(Agent, agent_id) if agent_id else None
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task = data.get("task") or inputs.get("task") or inputs.get("message") or ""
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result = await self.llm.complete(agent, task) if agent else f"Agent 节点占位输出：{task}"
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variables[node_id] = result
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entry["output"] = result
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elif node_type == "condition":
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entry["output"] = {"matched": True}
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elif node_type in {"parallel", "merge", "tool", "http"}:
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entry["output"] = f"{node_type} 节点已执行最小占位逻辑"
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elif node_type == "end":
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entry["output"] = variables
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else:
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entry["status"] = "skipped"
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entry["output"] = "未知节点类型，已跳过"
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log.append(entry)
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run.status = "completed"
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run.outputs = {"result": variables}
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run.execution_log = log
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workflow.run_count = (workflow.run_count or 0) + 1
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except Exception as exc:
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run.status = "failed"
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run.error_message = str(exc)
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run.execution_log = log
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finally:
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run.elapsed_time = int((time.time() - started) * 1000)
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run.completed_at = datetime.utcnow()
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await self.db.commit()
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await self.db.refresh(run)
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return run
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