180 lines
7.2 KiB
Python
180 lines
7.2 KiB
Python
"""AI 编排运行账本服务。"""
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from __future__ import annotations
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from datetime import datetime, timedelta, timezone
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from typing import Any, Optional
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from sqlalchemy import and_, select
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from sqlalchemy.ext.asyncio import AsyncSession
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from ..models import AIOrchestrationRun
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def _utc_now_naive() -> datetime:
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return datetime.now(timezone.utc).replace(tzinfo=None)
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class AIOrchestrationRunService:
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def __init__(self, db: AsyncSession) -> None:
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self.db = db
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async def create_run(
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self,
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*,
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tenant_id: int,
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trace_id: str,
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run_type: str,
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project_id: int,
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signal_id: Optional[int],
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response_mode: str,
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status: str,
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planner_status: Optional[str],
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openclaw_status: Optional[str],
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worker_total: int,
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worker_completed: int,
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worker_failed: int,
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summary: str,
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planner_diagnostics: Optional[dict[str, Any]],
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result_payload: Optional[dict[str, Any]],
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created_by_user_id: Optional[int],
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started_at: Optional[datetime] = None,
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completed_at: Optional[datetime] = None,
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) -> AIOrchestrationRun:
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row = AIOrchestrationRun(
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tenant_id=tenant_id,
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trace_id=trace_id,
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run_type=run_type,
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project_id=project_id,
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signal_id=signal_id,
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response_mode=response_mode,
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status=status,
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planner_status=planner_status,
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openclaw_status=openclaw_status,
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worker_total=max(0, int(worker_total)),
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worker_completed=max(0, int(worker_completed)),
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worker_failed=max(0, int(worker_failed)),
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summary=str(summary or "").strip()[:1000] or None,
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planner_diagnostics=planner_diagnostics if isinstance(planner_diagnostics, dict) else None,
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result_payload=result_payload if isinstance(result_payload, dict) else None,
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created_by_user_id=created_by_user_id,
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started_at=started_at or _utc_now_naive(),
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completed_at=completed_at,
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)
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self.db.add(row)
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await self.db.flush()
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return row
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async def get_run(self, *, tenant_id: int, trace_id: str) -> Optional[AIOrchestrationRun]:
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return (
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await self.db.execute(
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select(AIOrchestrationRun).where(
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and_(
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AIOrchestrationRun.tenant_id == int(tenant_id),
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AIOrchestrationRun.trace_id == str(trace_id),
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)
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)
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)
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).scalar_one_or_none()
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async def update_run(
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self,
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*,
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tenant_id: int,
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trace_id: str,
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status: Optional[str] = None,
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planner_status: Optional[str] = None,
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openclaw_status: Optional[str] = None,
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worker_total: Optional[int] = None,
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worker_completed: Optional[int] = None,
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worker_failed: Optional[int] = None,
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summary: Optional[str] = None,
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planner_diagnostics: Optional[dict[str, Any]] = None,
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result_payload: Optional[dict[str, Any]] = None,
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completed_at: Optional[datetime] = None,
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) -> Optional[AIOrchestrationRun]:
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row = await self.get_run(tenant_id=tenant_id, trace_id=trace_id)
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if row is None:
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return None
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if status is not None:
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row.status = str(status or "").strip()[:20]
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if planner_status is not None:
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row.planner_status = str(planner_status or "").strip()[:20] or None
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if openclaw_status is not None:
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row.openclaw_status = str(openclaw_status or "").strip()[:20] or None
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if worker_total is not None:
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row.worker_total = max(0, int(worker_total))
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if worker_completed is not None:
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row.worker_completed = max(0, int(worker_completed))
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if worker_failed is not None:
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row.worker_failed = max(0, int(worker_failed))
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if summary is not None:
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row.summary = str(summary or "").strip()[:1000] or None
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if planner_diagnostics is not None:
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row.planner_diagnostics = planner_diagnostics
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if result_payload is not None:
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row.result_payload = result_payload
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if completed_at is not None:
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row.completed_at = completed_at
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return row
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async def mark_stale_runs_interrupted(
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self,
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*,
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older_than_minutes: int = 10,
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) -> int:
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threshold = _utc_now_naive() - timedelta(minutes=max(1, int(older_than_minutes)))
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rows = (
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await self.db.execute(
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select(AIOrchestrationRun).where(
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and_(
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AIOrchestrationRun.status.in_(("queued", "running")),
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AIOrchestrationRun.started_at.is_not(None),
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AIOrchestrationRun.started_at < threshold,
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)
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)
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)
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).scalars().all()
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count = 0
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for row in rows:
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payload = row.result_payload if isinstance(row.result_payload, dict) else {}
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payload["run_status"] = "interrupted"
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payload["pending_workers"] = payload.get("pending_workers") or []
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row.status = "interrupted"
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row.completed_at = _utc_now_naive()
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row.result_payload = payload
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count += 1
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return count
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@staticmethod
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def serialize_run(row: AIOrchestrationRun) -> dict[str, Any]:
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payload = row.result_payload if isinstance(row.result_payload, dict) else {}
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pending_workers = payload.get("pending_workers") if isinstance(payload.get("pending_workers"), list) else []
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worker_total = int(row.worker_total or 0)
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worker_completed = int(row.worker_completed or 0)
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worker_failed = int(row.worker_failed or 0)
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worker_pending = max(0, worker_total - worker_completed - worker_failed)
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if not pending_workers and worker_pending > 0:
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pending_workers = [f"pending_{idx}" for idx in range(1, worker_pending + 1)]
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return {
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"trace_id": str(row.trace_id or ""),
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"run_type": str(row.run_type or ""),
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"project_id": int(row.project_id),
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"signal_id": int(row.signal_id) if row.signal_id is not None else None,
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"response_mode": str(row.response_mode or ""),
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"run_status": str(row.status or ""),
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"planner_status": str(row.planner_status or ""),
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"openclaw_status": str(row.openclaw_status or ""),
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"worker_total": worker_total,
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"worker_completed": worker_completed,
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"worker_failed": worker_failed,
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"worker_pending": worker_pending,
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"pending_workers": pending_workers,
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"summary": str(row.summary or payload.get("summary") or "").strip(),
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"planner_diagnostics": row.planner_diagnostics if isinstance(row.planner_diagnostics, dict) else None,
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"result_snapshot": payload,
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"created_by_user_id": int(row.created_by_user_id) if row.created_by_user_id is not None else None,
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"started_at": row.started_at.isoformat() if row.started_at else None,
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"completed_at": row.completed_at.isoformat() if row.completed_at else None,
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}
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