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Author SHA1 Message Date
hailin 38fff077dd feat(reporting-service): 新增多种活动事件类型 
扩展仪表板"最近活动"功能，新增以下活动类型：

活动类型新增：
- kyc_submitted: KYC认证提交
- kyc_approved: KYC认证通过
- kyc_rejected: KYC认证拒绝
- contract_signed: 合同签署
- deposit: 充值到账
- withdrawal: 提现成功
- benefit_applied: 权益申请

监听的 Kafka Topics：
- identity.KYCSubmitted
- identity.KYCApproved
- identity.KYCRejected
- contract.signed
- blockchain.deposit.credited
- wallet.withdrawals (仅处理 completed 事件)
- authorization.benefit.applied

所有新增事件处理器均使用幂等创建，防止重复记录。

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-01-08 05:51:26 -08:00
hailin 65bd6a857f fix(reporting-service): 添加活动记录幂等性处理 
问题：Kafka 消息重试或重复消费时，同一事件会被记录多次活动，
导致"最近活动"显示重复条目，统计数据也会被重复累加。

修复：
1. 仓储层新增 exists() 和 createIfNotExists() 方法
2. 所有事件消费者改用幂等创建，仅首次创建时累加统计
3. 添加数据库唯一约束 uk_sa_entity_activity 作为最后防线
4. 迁移脚本会自动清理历史重复数据

影响的事件：
- identity.UserAccountCreated
- identity.UserAccountAutoCreated
- authorization-events
- planting.order.paid
- reporting.report.generated

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-01-08 05:46:43 -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

🤖 Generated with [Claude Code](https://claude.com/claude-code)

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

🤖 Generated with [Claude Code](https://claude.com/claude-code)

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

🤖 Generated with [Claude Code](https://claude.com/claude-code)

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