15006a05a7
- 新增数字员工财务报告生成、邮件投递与渲染调度器 - 引入员工画像扫描调度与定时提醒任务 - 完善财务看板快照、排行口径与部门人员占比计算 - 优化数字员工工作看板仪表盘与技能目录 - 增强前端总览页图表、工作台摘要与顶部导航栏交互 - 新增差旅申请规划推动提醒与报销创建会话状态管理 - 补充财务报告、看板调度、数字员工工作记录测试覆盖
582 lines
26 KiB
Python
582 lines
26 KiB
Python
from __future__ import annotations
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from sqlalchemy import select
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from app.core.agent_enums import (
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AgentAssetContentType,
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AgentAssetDomain,
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AgentAssetStatus,
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AgentAssetType,
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AgentName,
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)
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from app.models.agent_asset import AgentAsset
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from app.services.agent_foundation_constants import (
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DIGITAL_EMPLOYEE_ALGORITHM_REPLAY_TASK_CODE,
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DIGITAL_EMPLOYEE_BUDGET_PRECONTROL_TASK_CODE,
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DIGITAL_EMPLOYEE_DEPARTMENT_BASELINE_TASK_CODE,
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DIGITAL_EMPLOYEE_FALSE_POSITIVE_SAMPLE_TASK_CODE,
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DIGITAL_EMPLOYEE_FEEDBACK_SAMPLE_TASK_CODE,
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DIGITAL_EMPLOYEE_FINANCE_DASHBOARD_SNAPSHOT_TASK_CODE,
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DIGITAL_EMPLOYEE_FINANCE_REPORT_TASK_CODE,
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DIGITAL_EMPLOYEE_MULTI_EVIDENCE_TASK_CODE,
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DIGITAL_EMPLOYEE_POLICY_ALIGNMENT_TASK_CODE,
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DIGITAL_EMPLOYEE_POLICY_CLAUSE_EXTRACT_TASK_CODE,
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DIGITAL_EMPLOYEE_POLICY_GAP_TASK_CODE,
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DIGITAL_EMPLOYEE_PROFILE_SCAN_TASK_CODE,
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DIGITAL_EMPLOYEE_REMINDER_SCAN_TASK_CODE,
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DIGITAL_EMPLOYEE_RISK_GRAPH_SCAN_TASK_CODE,
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DIGITAL_EMPLOYEE_RULE_DISCOVERY_TASK_CODE,
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DIGITAL_EMPLOYEE_RULE_TEMPLATE_ORGANIZE_TASK_CODE,
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DIGITAL_EMPLOYEE_SKILL_CATEGORIES,
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DIGITAL_EMPLOYEE_SPATIOTEMPORAL_TASK_CODE,
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DIGITAL_EMPLOYEE_SUPPLIER_PROFILE_TASK_CODE,
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DIGITAL_EMPLOYEE_SUPPLIER_RELATION_TASK_CODE,
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)
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DIGITAL_EMPLOYEE_ANALYSIS_ROLE_BOUNDARY = (
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"规则由人定义，风险由人确认，主流程由外层智能体执行，"
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"数字员工只读取事实、规则命中和反馈结果，生成后台分析、报告和待复核材料。"
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)
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class AgentFoundationDigitalEmployeeTaskMixin:
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def _runtime_digital_employee_task_specs(self) -> tuple[dict[str, object], ...]:
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return (
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self._digital_employee_task_spec(
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code=DIGITAL_EMPLOYEE_FINANCE_DASHBOARD_SNAPSHOT_TASK_CODE,
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name="财务经营快照沉淀",
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description="按固定周期统计报销金额、费用结构、预算占用、高额单据和个人费用排行，刷新财务看板缓存。",
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scenario_json=["schedule", "finance_dashboard", "expense", "budget"],
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owner="财务运营组",
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cron="0 2 * * *",
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skill_category="整理",
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skill_name="finance-dashboard-snapshot-analyst",
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output_format="finance_dashboard_snapshot",
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input_sources=[
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"expense_claims",
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"expense_items",
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"budget_snapshots",
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"employee_profiles",
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],
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execution_strategy="scheduled_dashboard_cache",
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),
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self._digital_employee_task_spec(
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code=DIGITAL_EMPLOYEE_REMINDER_SCAN_TASK_CODE,
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name="定时提醒与待办扫描",
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description="按计划扫描待审批单据、预算编制周期、差旅申请到期和逾期报销，生成可触达的提醒事项。",
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scenario_json=["schedule", "reminder", "approval", "budget", "travel"],
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owner="财务运营组",
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cron="0 2 * * *",
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skill_category="升级",
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skill_name="digital-employee-reminder-scanner",
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output_format="digital_employee_reminder_report",
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input_sources=[
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"expense_claims",
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"approval_tasks",
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"budgets",
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"travel_applications",
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],
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execution_strategy="scheduled_reminder_scan",
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),
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self._digital_employee_task_spec(
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code=DIGITAL_EMPLOYEE_FINANCE_REPORT_TASK_CODE,
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name="财务报告编排与邮件投递",
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description=(
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"按周、季、年整合费用、预算、风险、画像和提醒结果，"
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"生成图文 PDF 报告并按邮箱设置投递给财务管理人员。"
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),
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scenario_json=["schedule", "finance_report", "pdf", "email", "management"],
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owner="财务运营组",
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cron="30 8 * * 1",
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skill_category="整理",
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skill_name="finance-report-orchestrator",
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output_format="finance_report_pdf_delivery",
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input_sources=[
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"finance_dashboard_snapshots",
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"budget_snapshots",
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"risk_observations",
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"employee_profiles",
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"digital_employee_reminders",
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"system_mail_settings",
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],
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execution_strategy="scheduled_pdf_email_report",
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),
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self._digital_employee_task_spec(
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code=DIGITAL_EMPLOYEE_POLICY_CLAUSE_EXTRACT_TASK_CODE,
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name="制度条款结构化抽取",
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description="按计划从财务制度和报销政策中抽取适用范围、限制条件、金额标准、审批要求和证据字段。",
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scenario_json=["schedule", "knowledge", "policy_clause", "ontology"],
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owner="财务制度管理组",
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cron="15 3 * * *",
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skill_category="整理",
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skill_name="finance-policy-clause-extractor",
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output_format="policy_clause_structuring_report",
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input_sources=["finance_policies", "knowledge_documents", "ontology_parse_logs"],
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execution_strategy="definition_ready",
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),
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self._digital_employee_task_spec(
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code=DIGITAL_EMPLOYEE_POLICY_ALIGNMENT_TASK_CODE,
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name="报销政策口径对齐",
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description="对齐不同制度、规则中心和知识库中的报销口径，发现同义、冲突、缺失和过期条款。",
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scenario_json=["schedule", "knowledge", "expense_policy", "rule_center"],
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owner="财务制度管理组",
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cron="30 3 * * *",
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skill_category="整理",
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skill_name="expense-policy-alignment",
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output_format="policy_alignment_report",
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input_sources=["finance_policies", "risk_rules", "knowledge_items"],
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execution_strategy="definition_ready",
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),
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self._digital_employee_task_spec(
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code=DIGITAL_EMPLOYEE_RULE_TEMPLATE_ORGANIZE_TASK_CODE,
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name="规则命中样本整理",
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description="把外层智能体流程已经产生的规则命中、制度引用和历史样本整理为字段映射与复核材料，不新增、不改写、不发布规则。",
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scenario_json=["schedule", "rule_hit", "risk_rule", "policy_ref"],
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owner="风控与审计部",
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cron="45 3 * * 1",
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skill_category="整理",
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skill_name="rule-execution-case-organizer",
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output_format="rule_hit_sample_pack",
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input_sources=["approved_risk_rules", "policy_refs", "rule_hits"],
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execution_strategy="definition_ready",
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),
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self._digital_employee_task_spec(
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code=DIGITAL_EMPLOYEE_DEPARTMENT_BASELINE_TASK_CODE,
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name="部门费用基线沉淀",
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description="按部门、费用类型和时间窗口沉淀费用基线，为预算柔性控制和同类对比提供长期参照。",
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scenario_json=["schedule", "department", "baseline", "expense"],
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owner="风控与审计部",
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cron="45 8 * * 1",
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skill_category="积累",
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skill_name="department-expense-baseline-accumulator",
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output_format="department_expense_baseline_snapshot",
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input_sources=["expense_claims", "expense_items", "profile_baselines"],
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execution_strategy="reuse_employee_profile_baseline",
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),
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self._digital_employee_task_spec(
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code=DIGITAL_EMPLOYEE_SUPPLIER_PROFILE_TASK_CODE,
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name="供应商风险画像沉淀",
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description="沉淀供应商、商户、酒店和收款方的费用频次、金额分布、异常关系和历史风险反馈。",
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scenario_json=["schedule", "supplier", "baseline", "risk_graph"],
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owner="风控与审计部",
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cron="0 8 * * 2",
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skill_category="积累",
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skill_name="supplier-risk-profile-accumulator",
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output_format="supplier_risk_profile_snapshot",
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input_sources=["expense_claims", "invoice_entities", "risk_observations"],
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execution_strategy="reuse_profile_baseline",
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),
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self._digital_employee_task_spec(
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code=DIGITAL_EMPLOYEE_FALSE_POSITIVE_SAMPLE_TASK_CODE,
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name="历史误报样本沉淀",
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description="归集被人工标记为误报、忽略或撤销的风险观察，形成算法回放和人工复核校准样本。",
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scenario_json=["schedule", "false_positive", "feedback", "replay"],
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owner="风控与审计部",
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cron="20 10 * * 1",
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skill_category="积累",
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skill_name="false-positive-sample-accumulator",
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output_format="false_positive_sample_pool",
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input_sources=["risk_observations", "risk_observation_feedback"],
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execution_strategy="definition_ready",
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),
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self._digital_employee_task_spec(
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code=DIGITAL_EMPLOYEE_FEEDBACK_SAMPLE_TASK_CODE,
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name="风险观察反馈样本沉淀",
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description="归集确认、补件、升级、改写和人工复核反馈，形成风险观察反馈样本池。",
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scenario_json=["schedule", "feedback", "risk_observation", "sample_pool"],
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owner="风控与审计部",
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cron="40 10 * * 1",
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skill_category="积累",
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skill_name="risk-feedback-sample-accumulator",
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output_format="risk_feedback_sample_pool",
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input_sources=["risk_observations", "risk_observation_feedback", "agent_runs"],
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execution_strategy="definition_ready",
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),
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{
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"code": DIGITAL_EMPLOYEE_RISK_GRAPH_SCAN_TASK_CODE,
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"name": "财务风险图谱巡检",
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"description": (
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"按计划扫描报销单、票据、审批链、员工画像和规则命中结果，"
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"生成风险观察与可复核证据链。"
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),
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"scenario_json": ["schedule", "expense", "risk_graph", "risk_observation"],
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"owner": "风控与审计部",
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"reviewer": "顾承宇",
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"cron": "0 9 * * *",
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"skill_category": "评估",
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"markdown": self._financial_risk_graph_scan_skill_markdown,
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"change_note": "初始化财务风险图谱巡检能力。",
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"config": {
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"skill_name": "financial-risk-graph-scanner",
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"scan_scope": [
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"expense_claims",
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"invoices",
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"approval_chain",
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"employee_profiles",
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"risk_rules",
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],
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"output_format": "risk_observation_report",
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"writes_risk_observations": True,
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"allowed_outputs": [
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"facts",
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"rule_hits",
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"risk_clues",
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"evidence_refs",
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"human_review_required",
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],
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"role_boundary": DIGITAL_EMPLOYEE_ANALYSIS_ROLE_BOUNDARY,
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"writes_rules": False,
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},
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},
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{
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"code": DIGITAL_EMPLOYEE_PROFILE_SCAN_TASK_CODE,
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"name": "员工行为画像巡检",
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"description": (
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"按计划更新员工费用行为、材料完整性、审批效率和智能协作画像，"
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"为风险图谱提供画像基线。"
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),
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"scenario_json": ["schedule", "employee_profile", "baseline", "risk_graph"],
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"owner": "风控与审计部",
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"reviewer": "顾承宇",
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"cron": "30 8 * * 1",
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"skill_category": "积累",
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"markdown": self._employee_behavior_profile_scan_skill_markdown,
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"change_note": "初始化员工行为画像巡检能力。",
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"config": {
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"skill_name": "employee-behavior-profile-scanner",
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"profile_dimensions": [
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"expense_intensity",
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"material_completeness",
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"approval_efficiency",
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"ai_collaboration",
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],
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"output_format": "employee_behavior_profile_snapshot",
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"writes_profile_snapshots": True,
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"allowed_outputs": [
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"facts",
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"profile_snapshots",
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"baseline_metrics",
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"evidence_refs",
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"human_review_required",
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],
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"role_boundary": DIGITAL_EMPLOYEE_ANALYSIS_ROLE_BOUNDARY,
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"writes_rules": False,
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},
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},
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self._digital_employee_task_spec(
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code=DIGITAL_EMPLOYEE_MULTI_EVIDENCE_TASK_CODE,
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name="单据多凭证一致性评估",
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description="比对报销单、费用明细、发票、流水、合同和事前申请之间的金额、数量、主体和时间字段。",
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scenario_json=["schedule", "expense", "multi_evidence", "risk_observation"],
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owner="风控与审计部",
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cron="15 9 * * *",
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skill_category="评估",
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skill_name="multi-evidence-consistency-evaluator",
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output_format="multi_evidence_consistency_report",
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input_sources=["expense_claims", "expense_items", "invoices", "attachments"],
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execution_strategy="reuse_financial_risk_graph_scan",
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),
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self._digital_employee_task_spec(
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code=DIGITAL_EMPLOYEE_SPATIOTEMPORAL_TASK_CODE,
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name="差旅时空一致性评估",
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description="评估差旅发生时间、提交时间、票据地点、消费地点、行程轨迹和开票地点是否一致。",
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scenario_json=["schedule", "travel", "spatiotemporal", "risk_observation"],
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owner="风控与审计部",
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cron="30 9 * * *",
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skill_category="评估",
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skill_name="travel-spatiotemporal-consistency-evaluator",
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output_format="spatiotemporal_consistency_report",
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input_sources=[
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"expense_claims",
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"expense_items",
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"invoice_locations",
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"travel_routes",
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],
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execution_strategy="reuse_financial_risk_graph_scan",
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),
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self._digital_employee_task_spec(
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code=DIGITAL_EMPLOYEE_BUDGET_PRECONTROL_TASK_CODE,
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name="预算占用与超标预警",
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description="评估预算占用、费用标准、历史基线和柔性控制边界，输出提交前或审批前预警建议。",
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scenario_json=["schedule", "budget", "expense", "precontrol"],
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owner="预算管理组",
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cron="45 9 * * *",
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skill_category="评估",
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skill_name="budget-overrun-precontrol-evaluator",
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output_format="budget_precontrol_warning_report",
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input_sources=[
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"expense_claims",
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"budget_snapshots",
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"policy_refs",
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"profile_baselines",
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],
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execution_strategy="definition_ready",
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),
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self._digital_employee_task_spec(
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code=DIGITAL_EMPLOYEE_SUPPLIER_RELATION_TASK_CODE,
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name="供应商异常关系评估",
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description="识别员工、部门、供应商、票据和报销单之间的异常聚集、重复关系和跨部门集中风险。",
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scenario_json=["schedule", "supplier", "risk_graph", "relationship"],
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owner="风控与审计部",
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cron="0 9 * * 2",
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skill_category="评估",
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skill_name="supplier-abnormal-relation-evaluator",
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output_format="supplier_abnormal_relation_report",
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input_sources=[
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"risk_graph",
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"expense_claims",
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"invoice_entities",
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"entity_registry",
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],
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execution_strategy="reuse_financial_risk_graph_scan",
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),
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{
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"code": DIGITAL_EMPLOYEE_RULE_DISCOVERY_TASK_CODE,
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"name": "风险线索归集",
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"description": (
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"按计划复盘申请、报销、规则命中和人工反馈，"
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"归集带事实依据的潜在线索，提交人工复核，不生成规则。"
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),
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"scenario_json": ["schedule", "application", "reimbursement", "risk_clue"],
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"owner": "风控与审计部",
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"reviewer": "顾承宇",
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"cron": "0 10 * * 1",
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"skill_category": "升级",
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"markdown": self._risk_clue_collector_skill_markdown,
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"change_note": "初始化风险线索归集能力。",
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"config": {
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"task_type": "risk_clue_collect",
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"skill_name": "risk-clue-collector",
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"input_sources": [
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"expense_applications",
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"expense_claims",
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"rule_hits",
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"risk_observation_feedback",
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],
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"output_format": "risk_clue_review_packet",
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"allowed_outputs": [
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"facts",
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"rule_hits",
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"risk_clues",
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"evidence_refs",
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"human_review_required",
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],
|
|
"role_boundary": DIGITAL_EMPLOYEE_ANALYSIS_ROLE_BOUNDARY,
|
|
"writes_rules": False,
|
|
"human_review_required": True,
|
|
},
|
|
},
|
|
self._digital_employee_task_spec(
|
|
code=DIGITAL_EMPLOYEE_ALGORITHM_REPLAY_TASK_CODE,
|
|
name="风险算法回放评测",
|
|
description="复跑历史风险观察、反馈标签、本体版本和规则版本，评估算法升级前后的误报率和确认率。",
|
|
scenario_json=["schedule", "algorithm_replay", "evaluation", "feedback"],
|
|
owner="风控与审计部",
|
|
cron="30 10 * * 1",
|
|
skill_category="升级",
|
|
skill_name="risk-algorithm-replay-evaluator",
|
|
output_format="algorithm_replay_evaluation_report",
|
|
input_sources=[
|
|
"algorithm_replay_sets",
|
|
"risk_observations",
|
|
"risk_observation_feedback",
|
|
],
|
|
execution_strategy="definition_ready",
|
|
),
|
|
self._digital_employee_task_spec(
|
|
code=DIGITAL_EMPLOYEE_POLICY_GAP_TASK_CODE,
|
|
name="制度引用缺口提示",
|
|
description="整理申请、报销、规则命中和人工反馈中缺少制度引用的事实位置，提示人工补齐制度依据，不输出规则变更建议。",
|
|
scenario_json=["schedule", "policy_reference", "evidence_gap", "human_review"],
|
|
owner="财务制度管理组",
|
|
cron="0 11 * * 1",
|
|
skill_category="升级",
|
|
skill_name="policy-reference-gap-hinter",
|
|
output_format="policy_reference_gap_hint_report",
|
|
input_sources=[
|
|
"policy_refs",
|
|
"rule_hits",
|
|
"expense_claims",
|
|
"risk_feedback_samples",
|
|
],
|
|
execution_strategy="definition_ready",
|
|
),
|
|
)
|
|
|
|
def _digital_employee_task_spec(
|
|
self,
|
|
*,
|
|
code: str,
|
|
name: str,
|
|
description: str,
|
|
scenario_json: list[str],
|
|
owner: str,
|
|
cron: str,
|
|
skill_category: str,
|
|
skill_name: str,
|
|
output_format: str,
|
|
input_sources: list[str],
|
|
execution_strategy: str,
|
|
) -> dict[str, object]:
|
|
return {
|
|
"code": code,
|
|
"name": name,
|
|
"description": description,
|
|
"scenario_json": scenario_json,
|
|
"owner": owner,
|
|
"reviewer": "顾承宇",
|
|
"cron": cron,
|
|
"skill_category": skill_category,
|
|
"markdown": lambda: self._generic_digital_employee_skill_markdown(
|
|
skill_name=skill_name,
|
|
title=name,
|
|
description=description,
|
|
),
|
|
"change_note": f"初始化{name}能力。",
|
|
"config": {
|
|
"skill_name": skill_name,
|
|
"input_sources": input_sources,
|
|
"output_format": output_format,
|
|
"writes_work_record": True,
|
|
"execution_strategy": execution_strategy,
|
|
"allowed_outputs": [
|
|
"facts",
|
|
"rule_hits",
|
|
"risk_clues",
|
|
"evidence_refs",
|
|
"human_review_required",
|
|
],
|
|
"role_boundary": DIGITAL_EMPLOYEE_ANALYSIS_ROLE_BOUNDARY,
|
|
"writes_rules": False,
|
|
},
|
|
}
|
|
|
|
def _generic_digital_employee_skill_markdown(
|
|
self,
|
|
*,
|
|
skill_name: str,
|
|
title: str,
|
|
description: str,
|
|
) -> str:
|
|
return self._read_domain_skill_markdown(
|
|
skill_name,
|
|
[
|
|
"---",
|
|
f"name: {skill_name}",
|
|
f"description: {description}",
|
|
"---",
|
|
"",
|
|
f"# {title}",
|
|
"",
|
|
"## 功能说明",
|
|
"",
|
|
description,
|
|
],
|
|
)
|
|
|
|
def _upsert_runtime_digital_employee_tasks(self, existing_codes: set[str]) -> None:
|
|
for spec in self._runtime_digital_employee_task_specs():
|
|
self._upsert_runtime_digital_employee_task(existing_codes, spec)
|
|
|
|
def _upsert_runtime_digital_employee_task(
|
|
self,
|
|
existing_codes: set[str],
|
|
spec: dict[str, object],
|
|
) -> None:
|
|
code = str(spec["code"])
|
|
config = self._build_runtime_digital_employee_config(spec)
|
|
|
|
if code not in existing_codes:
|
|
asset = self._create_seed_asset(
|
|
asset_type=AgentAssetType.TASK.value,
|
|
code=code,
|
|
name=str(spec["name"]),
|
|
description=str(spec["description"]),
|
|
domain=AgentAssetDomain.SYSTEM.value,
|
|
scenario_json=list(spec["scenario_json"]),
|
|
owner=str(spec["owner"]),
|
|
reviewer=str(spec["reviewer"]),
|
|
status=AgentAssetStatus.ACTIVE.value,
|
|
current_version="v1.0.0",
|
|
config_json=config,
|
|
)
|
|
else:
|
|
asset = self.db.scalar(select(AgentAsset).where(AgentAsset.code == code))
|
|
if asset is None:
|
|
return
|
|
self._refresh_runtime_digital_employee_asset(asset, spec)
|
|
|
|
markdown_builder = spec["markdown"]
|
|
if not callable(markdown_builder):
|
|
return
|
|
self._ensure_asset_version(
|
|
asset,
|
|
version="v1.0.0",
|
|
content=markdown_builder(),
|
|
content_type=AgentAssetContentType.MARKDOWN.value,
|
|
change_note=str(spec["change_note"]),
|
|
created_by="系统初始化",
|
|
)
|
|
|
|
def _build_runtime_digital_employee_config(
|
|
self,
|
|
spec: dict[str, object],
|
|
*,
|
|
existing_config: dict[str, object] | None = None,
|
|
) -> dict[str, object]:
|
|
code = str(spec["code"])
|
|
cron = str(spec["cron"])
|
|
base = {
|
|
**self._digital_employee_task_config(code, cron),
|
|
"skill_category": str(spec["skill_category"]),
|
|
"schedule": cron,
|
|
"cron_expression": cron,
|
|
**dict(spec["config"]),
|
|
}
|
|
if not existing_config:
|
|
return base
|
|
|
|
existing_cron = (
|
|
existing_config.get("cron")
|
|
or existing_config.get("schedule")
|
|
or existing_config.get("cron_expression")
|
|
)
|
|
schedule_config = (
|
|
{"cron": existing_cron, "schedule": existing_cron, "cron_expression": existing_cron}
|
|
if existing_cron
|
|
else {}
|
|
)
|
|
return {
|
|
**existing_config,
|
|
"agent": AgentName.HERMES.value,
|
|
"task_type": code.replace("task.hermes.", "").replace(".", "_"),
|
|
"skill_category": str(spec["skill_category"]),
|
|
"skill_category_options": list(DIGITAL_EMPLOYEE_SKILL_CATEGORIES),
|
|
**dict(spec["config"]),
|
|
**schedule_config,
|
|
}
|
|
|
|
def _refresh_runtime_digital_employee_asset(
|
|
self,
|
|
asset: AgentAsset,
|
|
spec: dict[str, object],
|
|
) -> None:
|
|
asset.name = str(spec["name"])
|
|
asset.description = str(spec["description"])
|
|
asset.owner = str(spec["owner"])
|
|
asset.reviewer = str(spec["reviewer"])
|
|
asset.domain = AgentAssetDomain.SYSTEM.value
|
|
asset.scenario_json = list(spec["scenario_json"])
|
|
if not str(asset.status or "").strip():
|
|
asset.status = AgentAssetStatus.ACTIVE.value
|
|
if not str(asset.current_version or "").strip():
|
|
asset.current_version = "v1.0.0"
|
|
if not str(asset.working_version or "").strip():
|
|
asset.working_version = asset.current_version
|
|
|
|
asset.config_json = self._build_runtime_digital_employee_config(
|
|
spec,
|
|
existing_config=dict(asset.config_json or {}),
|
|
)
|
|
self.db.add(asset)
|