Files
company-ai-platform/app/modules/reports/services/enterprise.py
JiuContinent db751f03b4 ```
refactor(Dockerfile): 使用requirements.txt替代硬编码依赖

将Dockerfile中的硬编码pip包列表替换为通过requirements.txt文件安装,
提高依赖管理的灵活性和可维护性。

feat(scheduling): 移除内置APScheduler,采用独立调度系统

移除app/core/background/scheduler.py中原来的APScheduler实现,
改为使用新的应用级调度系统app.application.scheduling。

refactor(task_queue): 调整任务队列模块结构和导入路径

将任务队列相关常量从app.core.background.task_queue.constants迁移至
app.tasks.constants,并更新所有相关导入路径和引用。

refactor(events): 将事件服务重构为独立的应用层组件

将事件分发逻辑从核心层迁移到应用层,使用app.application.events.EventDispatchService
替代原有的app.modules.events.services.EventService。

feat(ai_memory): 增强AI记忆自动写入的安全策略

新增ai_memory_blocked_content_terms配置项用于阻止敏感内容,
添加TTL过期机制控制自动写入条目的生命周期。

fix(security): 强化生产环境安全验证机制

增加model_validator确保生产环境中数据库连接、API密钥、CORS设置等
关键安全配置符合要求。

feat(risks): 优化风险事件操作动作的外键约束

为RiskEventAction模型的风险事件ID字段添加外键约束,
防止孤立记录并增强数据完整性。

refactor(audit): 优化审计服务方法命名和事务处理

将AuditService的log方法重命名为record以反映其阶段行为,
并调整事务提交时机以提高性能。

feat(events): 增强领域事件并发处理和响应模型

添加事件锁定机制防止重复处理,更新API响应模型以提供
更准确的数据类型定义。
```
2026-07-15 16:36:42 +08:00

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from datetime import date
from typing import Any
from app.core.constants import ActorValue
from app.modules.audit.constants import AuditAction, AuditSource, AuditTargetType
from app.modules.audit.schemas import AuditLogCreate
from app.modules.audit.service import AuditService
from app.modules.business.models import (
PerformanceMetric,
)
from app.modules.events.constants import (
EventAggregateType,
EventPayloadKey,
EventSource,
EventType,
)
from app.modules.events.services import EventService
from app.modules.reports.constants import (
EnterpriseAnalyticsKey,
LifecycleResponseKey,
LifecycleSection,
MetricKey,
ReportStatus,
ReportText,
ReportTitle,
)
from app.modules.reports.services.common import _json_safe, _money, _next_code, _rate
class ReportEnterpriseAnalyticsMixin:
def enterprise_analytics(
self,
project_code: str | None = None,
owner: str | None = None,
period_start: date | None = None,
period_end: date | None = None,
actor: str = ActorValue.API,
) -> dict[str, Any]:
"""Build V3 read-only finance, procurement, performance, and operations analytics."""
code = _next_code("ANALYTICS")
lifecycle = self.project_lifecycle_report(
project_code=project_code,
owner=owner,
period_start=period_start,
period_end=period_end,
include_ai=False,
actor=actor,
)
metrics = lifecycle[LifecycleResponseKey.METRICS]
projects = metrics[LifecycleSection.PROJECTS]
procurements = metrics[LifecycleSection.PROCUREMENTS]
expenses = metrics[LifecycleSection.EXPENSES]
funds = metrics[LifecycleSection.FUNDS]
tasks = metrics[LifecycleSection.TASKS]
risks = metrics[LifecycleSection.RISKS]
health = metrics[LifecycleSection.HEALTH]
finance = {
MetricKey.BUDGET_TOTAL: projects[MetricKey.BUDGET_TOTAL],
MetricKey.ACTUAL_TOTAL: projects[MetricKey.ACTUAL_TOTAL],
MetricKey.BUDGET_USAGE_RATE: projects[MetricKey.BUDGET_USAGE_RATE],
MetricKey.CURRENT_BALANCE_TOTAL: funds[MetricKey.CURRENT_BALANCE_TOTAL],
MetricKey.NET_POSITION: funds[MetricKey.NET_POSITION],
MetricKey.RISK_ACCOUNTS: funds[MetricKey.RISK_ACCOUNTS],
MetricKey.PAYMENT_EXPOSURE: (
procurements[MetricKey.ACTUAL_TOTAL] + expenses[MetricKey.AMOUNT_TOTAL]
),
}
procurement = {
MetricKey.TOTAL: procurements[MetricKey.TOTAL],
MetricKey.PENDING_APPROVAL: procurements[MetricKey.PENDING_APPROVAL],
MetricKey.PENDING_DELIVERY: procurements[MetricKey.PENDING_DELIVERY],
MetricKey.UNPAID: procurements[MetricKey.UNPAID],
MetricKey.EXPECTED_TOTAL: procurements[MetricKey.EXPECTED_TOTAL],
MetricKey.ACTUAL_TOTAL: procurements[MetricKey.ACTUAL_TOTAL],
MetricKey.DELIVERY_RISK: procurements[MetricKey.PENDING_DELIVERY],
}
performance = self._enterprise_performance_stats()
operations = {
MetricKey.READINESS_SCORE: health[MetricKey.SCORE],
MetricKey.LEVEL: health[MetricKey.LEVEL],
MetricKey.COMPLETION_RATE: tasks[MetricKey.COMPLETION_RATE],
MetricKey.OVERDUE_TASKS: risks[MetricKey.OVERDUE_TASKS],
MetricKey.DELAYED_PROJECTS: risks[MetricKey.DELAYED_PROJECTS],
MetricKey.OVER_BUDGET_PROJECTS: risks[MetricKey.OVER_BUDGET_PROJECTS],
MetricKey.OPEN_EVENTS: risks[MetricKey.OPEN_EVENTS],
MetricKey.HIGH_EVENTS: risks[MetricKey.HIGH_EVENTS],
}
recommendations = lifecycle[LifecycleResponseKey.RECOMMENDATIONS]
lines = self._enterprise_analytics_lines(
lifecycle[LifecycleResponseKey.FILTERS],
finance,
procurement,
performance,
operations,
recommendations,
)
report = _json_safe(
{
EnterpriseAnalyticsKey.CODE: code,
EnterpriseAnalyticsKey.TITLE: ReportTitle.ENTERPRISE_ANALYTICS,
EnterpriseAnalyticsKey.FILTERS: lifecycle[LifecycleResponseKey.FILTERS],
EnterpriseAnalyticsKey.FINANCE: finance,
EnterpriseAnalyticsKey.PROCUREMENT: procurement,
EnterpriseAnalyticsKey.PERFORMANCE: performance,
EnterpriseAnalyticsKey.OPERATIONS: operations,
EnterpriseAnalyticsKey.RECOMMENDATIONS: recommendations,
EnterpriseAnalyticsKey.LINES: lines,
EnterpriseAnalyticsKey.CONTENT: "\n".join(lines),
}
)
AuditService(self.db).record(
AuditLogCreate(
actor=actor,
source=AuditSource.REPORTS,
action=AuditAction.ENTERPRISE_ANALYTICS,
target_type=AuditTargetType.ENTERPRISE_ANALYTICS,
target_id=code,
response_payload=report,
)
)
EventService(self.db).enqueue(
event_type=EventType.ENTERPRISE_ANALYTICS_GENERATED,
source=EventSource.ANALYTICS,
aggregate_type=EventAggregateType.ENTERPRISE_ANALYTICS,
aggregate_id=code,
actor=actor,
payload={
EventPayloadKey.CODE: code,
EventPayloadKey.STATUS: ReportStatus.GENERATED,
},
idempotency_key=f"enterprise-analytics:{code}",
)
self.db.commit()
return report
def _enterprise_performance_stats(self) -> dict[str, Any]:
total = self._count(PerformanceMetric)
confirmed = self._count(PerformanceMetric, PerformanceMetric.confirmed_score.is_not(None))
return {
MetricKey.TOTAL: total,
MetricKey.CONFIRMED: confirmed,
MetricKey.CONFIRMED_RATE: _rate(confirmed, total),
MetricKey.AVERAGE_AUTO_SCORE: self._avg(PerformanceMetric.auto_score),
MetricKey.AVERAGE_CONFIRMED_SCORE: self._avg(PerformanceMetric.confirmed_score),
MetricKey.WEIGHT_TOTAL: self._sum(PerformanceMetric.weight),
MetricKey.BY_STATUS: self._group_counts(PerformanceMetric, PerformanceMetric.status),
}
def _enterprise_analytics_lines(
self,
filters: dict[str, Any],
finance: dict[str, Any],
procurement: dict[str, Any],
performance: dict[str, Any],
operations: dict[str, Any],
recommendations: list[str],
) -> list[str]:
scope = (
"".join(f"{key}={value}" for key, value in filters.items() if value)
or ReportText.DEFAULT_SCOPE
)
lines = [
f"- 范围:{scope}",
(
f"- 财务:预算 {_money(finance[MetricKey.BUDGET_TOTAL])}"
f"实际 {_money(finance[MetricKey.ACTUAL_TOTAL])}"
f"净头寸 {_money(finance[MetricKey.NET_POSITION])}"
f"支付暴露 {_money(finance[MetricKey.PAYMENT_EXPOSURE])}"
),
(
f"- 采购:总数 {procurement[MetricKey.TOTAL]}"
f"待审批 {procurement[MetricKey.PENDING_APPROVAL]}"
f"待交付 {procurement[MetricKey.PENDING_DELIVERY]}"
f"未付款 {procurement[MetricKey.UNPAID]}"
),
(
f"- 绩效:指标 {performance[MetricKey.TOTAL]}"
f"已确认 {performance[MetricKey.CONFIRMED]}"
f"确认率 {performance[MetricKey.CONFIRMED_RATE]}%"
f"平均自动分 {performance[MetricKey.AVERAGE_AUTO_SCORE]}"
),
(
f"- 运营:准备度 {operations[MetricKey.READINESS_SCORE]}"
f"任务完成率 {operations[MetricKey.COMPLETION_RATE]}%"
f"逾期任务 {operations[MetricKey.OVERDUE_TASKS]}"
f"打开风险 {operations[MetricKey.OPEN_EVENTS]}"
),
ReportText.ACTION_HEADER,
]
lines.extend(f" - {item}" for item in recommendations)
return lines