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Author SHA1 Message Date
hailin dc64a28efb refactor(reporting-service): 移除仪表板区域分布和趋势的模拟数据 
- 区域分布无真实数据源时返回空数组
- 趋势数据无数据时返回空数组
- 删除 generateTrendData 模拟方法

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2025-12-20 02:26:34 -08:00
hailin 59b83acfa4 refactor(reporting-service): 移除仪表板最近活动的模拟数据 
无真实数据时返回空数组，不再生成假数据

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2025-12-20 01:07:39 -08:00
hailin dbba229c91 fix(reporting-service): 启动 Kafka 微服务消费者以记录真实活动 
- 在 main.ts 添加 Kafka 微服务连接配置
- 调用 startAllMicroservices() 启动事件消费
- 支持消费 identity/authorization/planting 服务的事件
- 实现仪表板"最近活动"显示真实数据

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2025-12-19 21:50:36 -08:00
hailin 0e367d042c feat(reporting): 实现 Dashboard API 完整功能 
## 概述
为 reporting-service 实现完整的 Dashboard API 端点，支持统计卡片、趋势图表、
区域分布和最近活动等功能。

## API 端点
- GET /dashboard/stats: 获取统计卡片数据
- GET /dashboard/charts: 获取趋势图表数据 (支持 7d/30d/90d 周期)
- GET /dashboard/region: 获取区域分布数据
- GET /dashboard/activities: 获取最近活动列表

## 新增 DTO
- DashboardStatsResponseDto: 统计卡片响应
- DashboardTrendResponseDto: 趋势数据响应
- DashboardRegionResponseDto: 区域分布响应
- DashboardActivitiesResponseDto: 活动列表响应

## Repository 层
- IDashboardStatsSnapshotRepository: 统计快照接口
- IDashboardTrendDataRepository: 趋势数据接口
- ISystemActivityRepository: 系统活动接口

## External Clients (已弃用)
- AuthorizationServiceClient: 授权服务客户端
- IdentityServiceClient: 身份服务客户端
注：已改为事件驱动架构，这些客户端仅作为备用

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2025-12-18 00:31:08 -08:00
hailin e684068eae feat(reporting): 实现事件驱动的仪表板统计架构 
## 概述
将 reporting-service Dashboard 从 HTTP API 调用改为事件驱动架构，
通过消费 Kafka 事件在本地维护统计数据，实现微服务间解耦。

## 架构变更
之前: Dashboard → HTTP → planting/authorization/identity-service
现在: 各服务 → Kafka → reporting-service → 本地统计表 → Dashboard

## 新增表
- RealtimeStats: 每日实时统计 (认种数/订单数/新用户/授权数)
- GlobalStats: 全局累计统计 (总认种/总用户/总公司数)

## 新增仓储
- IRealtimeStatsRepository: 实时统计接口及实现
- IGlobalStatsRepository: 全局统计接口及实现

## Kafka 消费者更新
- identity.UserAccountCreated: 累加用户统计
- identity.UserAccountAutoCreated: 累加用户统计
- authorization-events: 累加省/市公司统计
- planting.order.paid: 累加认种统计

## Dashboard 服务更新
- getStats(): 从 GlobalStats/RealtimeStats 读取，计算环比变化
- getTrendData(): 从 RealtimeStats 获取趋势数据

## 优势
- 消除跨服务 HTTP 调用延迟
- 统计数据实时更新
- 微服务间完全解耦

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2025-12-18 00:25:31 -08:00
hailin 747e4ae8ef refactor(mpc-system): migrate to party-driven architecture with PartyID-based routing 
- Remove Address field from PartyEndpoint (parties connect to router themselves)
- Update K8s Discovery to only manage PartyID and Role labels
- Add Party registration and SessionEvent protobuf definitions
- Implement PartyRegistry and SessionEventBroadcaster domain logic
- Add RegisterParty and SubscribeSessionEvents gRPC handlers
- Prepare infrastructure for party-driven MPC coordination

This is the first phase of migrating from coordinator-driven to party-driven
architecture following international MPC system design patterns.
 2025-12-05 08:11:28 -08:00
Developer 1fe66f34fd feat(reporting-service): Implement complete reporting service with DDD architecture 
- Domain layer: ReportDefinition/ReportSnapshot aggregates, value objects (DateRange, ReportPeriod, etc.)
- Application layer: CQRS commands/queries, ReportingApplicationService
- Infrastructure layer: Prisma repositories, Redis cache, export services (Excel/CSV/PDF)
- API layer: REST controllers, DTOs with validation
- Testing: Unit tests, integration tests, E2E tests, Docker test environment
- Documentation: Architecture, API, Development, Testing, Deployment, Data Model docs
- Supports scheduled report generation, multi-format export, and data caching

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Co-Authored-By: Claude <noreply@anthropic.com>
 2025-12-01 08:12:57 -08:00