JiuContinent
0cda45238a
feat: 添加AI记忆模块和事件调度系统 - 新增AI记忆模块，支持本地记忆召回和自动写入功能 - 实现事件调度系统，支持批量处理待定事件和重试机制 - 集成心跳监控机制，跟踪API、调度器和工作节点状态 - 扩展仪表板数据统计，包含AI记忆条目和心跳概要 - 添加企业运营分析报告功能，提供财务、采购等多维度分析 - 更新配置设置，增加事件调度和AI记忆相关参数 - 优化任务队列，添加事件分发任务类型 - 扩展审计日志，记录AI记忆操作和事件调度行为 - 实现领域事件模型，支持事件持久化和状态管理 - 添加观察性服务，监控系统组件健康状况 ```
105 lines
4.7 KiB
Python
105 lines
4.7 KiB
Python
from typing import Any
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from sqlalchemy import func, select
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from sqlalchemy.orm import Session
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from app.modules.ai_memory.constants import AIMemoryStatus
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from app.modules.ai_memory.models import AIMemoryEntry
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from app.modules.audit.models import AuditLog
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from app.modules.business.constants import DONE_STATUSES, PROJECT_CLOSED_STATUSES, StatusValue
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from app.modules.business.models import (
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LegacySyncRun,
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Project,
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ReportPushRun,
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RiskEvent,
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WorkReport,
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WorkTask,
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)
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from app.modules.business.service import serialize_model
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from app.modules.events.constants import EventStatus
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from app.modules.events.models import DomainEvent
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from app.modules.observability.constants import ObservabilityMetricKey
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from app.modules.observability.service import ObservabilityService
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from app.modules.reports.constants import ReportPushStatus
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from app.modules.risk.service import RiskService
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from app.modules.workflows.constants import WorkflowStatus
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from app.modules.workflows.models import WorkflowInstance
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class DashboardService:
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"""Build lightweight operational dashboard data for V2/V3."""
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def __init__(self, db: Session):
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self.db = db
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self.risks = RiskService(db)
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def summary(self) -> dict[str, Any]:
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active_projects = self._count(Project, Project.status.notin_(PROJECT_CLOSED_STATUSES))
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open_tasks = self._count(WorkTask, WorkTask.status.notin_(DONE_STATUSES))
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open_risk_events = self._count(RiskEvent, RiskEvent.status == StatusValue.OPEN)
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unassigned_open_risks = self._count(
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RiskEvent,
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RiskEvent.status == StatusValue.OPEN,
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RiskEvent.assigned_to.is_(None),
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)
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failed_push_runs = self._count(ReportPushRun, ReportPushRun.status == ReportPushStatus.FAILED)
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pending_events = self._count(DomainEvent, DomainEvent.status == EventStatus.PENDING)
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failed_events = self._count(DomainEvent, DomainEvent.status == EventStatus.FAILED)
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running_workflows = self._count(
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WorkflowInstance,
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WorkflowInstance.status == WorkflowStatus.RUNNING,
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)
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failed_workflows = self._count(
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WorkflowInstance,
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WorkflowInstance.status == WorkflowStatus.FAILED,
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)
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active_ai_memory = self._count(AIMemoryEntry, AIMemoryEntry.status == AIMemoryStatus.ACTIVE)
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heartbeat_summary = ObservabilityService(self.db).heartbeat_summary()
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latest_reports = self.db.execute(
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select(WorkReport).order_by(WorkReport.id.desc()).limit(5)
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).scalars()
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latest_push_runs = self.db.execute(
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select(ReportPushRun).order_by(ReportPushRun.id.desc()).limit(10)
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).scalars()
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latest_sync_runs = self.db.execute(
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select(LegacySyncRun).order_by(LegacySyncRun.id.desc()).limit(10)
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).scalars()
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latest_audit_logs = self.db.execute(
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select(AuditLog).order_by(AuditLog.id.desc()).limit(10)
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).scalars()
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risk_summary = self.risks.summary()
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return {
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"metrics": {
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"active_projects": active_projects,
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"open_tasks": open_tasks,
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"open_risk_events": open_risk_events,
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"unassigned_open_risks": unassigned_open_risks,
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"failed_push_runs": failed_push_runs,
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"pending_events": pending_events,
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"failed_events": failed_events,
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"running_workflows": running_workflows,
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"failed_workflows": failed_workflows,
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"active_ai_memory": active_ai_memory,
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"stale_heartbeats": heartbeat_summary[ObservabilityMetricKey.STALE],
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"risk_level": risk_summary["risk_level"],
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"risk_score": float(risk_summary["risk_score"]),
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},
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"risk_counts": {
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"overdue_tasks": len(risk_summary["overdue_tasks"]),
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"delayed_projects": len(risk_summary["delayed_projects"]),
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"over_budget_projects": len(risk_summary["over_budget_projects"]),
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"fund_risks": len(risk_summary["fund_risks"]),
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"supplier_risks": len(risk_summary["supplier_risks"]),
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},
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"latest_reports": [serialize_model(item) for item in latest_reports],
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"latest_push_runs": [serialize_model(item) for item in latest_push_runs],
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"latest_sync_runs": [serialize_model(item) for item in latest_sync_runs],
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"latest_audit_logs": [serialize_model(item) for item in latest_audit_logs],
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}
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def _count(self, model: type, *conditions: Any) -> int:
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stmt = select(func.count()).select_from(model)
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for condition in conditions:
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stmt = stmt.where(condition)
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return int(self.db.execute(stmt).scalar() or 0)
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