JiuContinent
71ca804764
feat: 添加公司AI管理平台基础架构 添加了完整的FastAPI后端项目结构，包括： - 环境配置文件(.env.example)和项目说明文档(README.md、AGENTS.md) - Dockerfile用于容器化部署 - 核心基础设施：配置管理、数据库连接、调度器、安全认证 - 模块化设计：AI代理、审批流程、审计日志、业务台账等功能模块 - 支持多数据库连接(主库和遗留系统只读库) - AI适配器支持OpenClaw、Hermes、OpenAI兼容接口 - 飞书集成、报表生成、风险监控等企业级功能 - 完整的依赖管理和测试指南 ```
70 lines
2.5 KiB
Python
70 lines
2.5 KiB
Python
from datetime import date
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from decimal import Decimal
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from typing import Any
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from sqlalchemy import select
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from sqlalchemy.orm import Session
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from app.modules.business.models import FundAccount, Project, WorkTask
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from app.modules.business.service import serialize_model
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class RiskService:
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"""Evaluate rule-based business risk signals from internal ledgers."""
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def __init__(self, db: Session):
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self.db = db
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def overdue_tasks(self) -> list[dict[str, Any]]:
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stmt = select(WorkTask).where(
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WorkTask.due_date.is_not(None),
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WorkTask.due_date < date.today(),
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WorkTask.status.notin_(["完成", "已完成", "关闭"]),
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)
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return [serialize_model(item) for item in self.db.execute(stmt).scalars()]
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def delayed_projects(self) -> list[dict[str, Any]]:
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stmt = select(Project).where(
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Project.due_date.is_not(None),
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Project.due_date < date.today(),
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Project.status.notin_(["验收", "已完成", "复盘", "归档", "关闭"]),
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)
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return [serialize_model(item) for item in self.db.execute(stmt).scalars()]
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def over_budget_projects(self) -> list[dict[str, Any]]:
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stmt = select(Project).where(
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Project.budget_amount > 0,
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Project.actual_amount > Project.budget_amount,
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)
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return [serialize_model(item) for item in self.db.execute(stmt).scalars()]
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def fund_risks(self) -> list[dict[str, Any]]:
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stmt = select(FundAccount).where(FundAccount.current_balance < FundAccount.safety_line)
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return [serialize_model(item) for item in self.db.execute(stmt).scalars()]
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def summary(self) -> dict[str, Any]:
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overdue_tasks = self.overdue_tasks()
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delayed_projects = self.delayed_projects()
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over_budget_projects = self.over_budget_projects()
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fund_risks = self.fund_risks()
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risk_score = (
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len(overdue_tasks) * 1
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+ len(delayed_projects) * 3
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+ len(over_budget_projects) * 4
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+ len(fund_risks) * 5
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)
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if risk_score >= 15:
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level = "high"
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elif risk_score >= 5:
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level = "medium"
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else:
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level = "low"
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return {
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"risk_level": level,
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"risk_score": Decimal(risk_score),
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"overdue_tasks": overdue_tasks,
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"delayed_projects": delayed_projects,
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"over_budget_projects": over_budget_projects,
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"fund_risks": fund_risks,
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}
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