hailin
afd707d15f
refactor(services): implement 4-layer Clean Architecture for all backend services
...
Refactored all 6 backend services to 4-layer Clean Architecture pattern
following knowledge-service as reference implementation.
## Architecture Pattern (4-Layer)
```
src/
├── domain/ # Pure business entities and interfaces
│ ├── entities/ # Domain entities (no ORM decorators)
│ ├── repositories/ # Repository interfaces + Symbol tokens
│ └── value-objects/ # Enums and value types
├── application/
│ ├── dtos/ # Data transfer objects
│ └── services/ # Application services (use case orchestration)
├── adapters/
│ ├── inbound/ # Controllers, gateways (API endpoints)
│ └── outbound/
│ ├── persistence/ # Repository implementations
│ ├── clients/ # External service clients
│ └── storage/ # File storage adapters
└── infrastructure/
└── database/postgres/
└── entities/ # ORM entities with decorators
```
## Services Refactored
### user-service
- adapters/inbound: AuthController, UserController
- adapters/outbound/persistence: UserPostgresRepository, VerificationCodePostgresRepository
- application/services: AuthService, UserService
- application/dtos: AuthDto, UserDto
### payment-service
- adapters/inbound: OrderController, PaymentController
- adapters/outbound/persistence: OrderPostgresRepository, PaymentPostgresRepository
- adapters/outbound/payment-methods: AlipayAdapter, WechatPayAdapter, StripeAdapter
- application/services: OrderService, PaymentService
- application/dtos: OrderDto, PaymentDto
### file-service
- adapters/inbound: FileController
- adapters/outbound/persistence: FilePostgresRepository
- adapters/outbound/storage: MinioStorageAdapter
- application/services: FileService
- application/dtos: UploadFileDto
### conversation-service
- adapters/inbound: ConversationController, InternalController, ConversationGateway
- adapters/outbound/persistence: ConversationPostgresRepository, MessagePostgresRepository, TokenUsagePostgresRepository
- application/services: ConversationService
- application/dtos: ConversationDto
### knowledge-service
- adapters/inbound: KnowledgeController, MemoryController, InternalMemoryController
- adapters/outbound/persistence: KnowledgePostgresRepository, MemoryPostgresRepository
- application/services: KnowledgeService, MemoryService
- application/dtos: KnowledgeDto, MemoryDto
### evolution-service
- domain/entities: AdminEntity
- domain/repositories: IAdminRepository (Symbol-based DI)
- domain/value-objects: AdminRole enum
- adapters/inbound: AdminController, EvolutionController
- adapters/outbound/persistence: AdminPostgresRepository
- adapters/outbound/clients: ConversationClient, KnowledgeClient
- application/services: AdminService, EvolutionService
- application/dtos: AdminDto, EvolutionDto
- infrastructure/database/postgres/entities: AdminORM
## Key Improvements
- Symbol-based dependency injection for repository interfaces
- ORM entities separated from domain entities
- Consistent 4-layer structure across all services
- DTOs for API contracts
- Clear separation: domain logic vs infrastructure concerns
## Configuration
- Updated turbo.json: renamed "pipeline" to "tasks" for Turbo 2.0+
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 22:18:22 -08:00
hailin
cd5399eac3
feat(agent): implement consulting strategy engine with V2 agent service
...
- Add 8-stage consulting workflow (greeting → handoff)
- Create StrategyEngineService for state management and transitions
- Add ClaudeAgentServiceV2 with integrated strategy guidance
- Support old user recognition via get_user_context tool
- Add device info (IP, fingerprint) for new user icebreaking
- Extend ConversationEntity with consulting state fields
- Add database migration for new JSONB columns
Stages: greeting, needs_discovery, info_collection, assessment,
recommendation, objection_handling, conversion, handoff
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 06:32:07 -08:00
hailin
849a4a3099
feat(conversation): add token usage tracking for API cost analysis
...
- Add TokenUsageEntity to store per-request token consumption
- Add TokenUsageService with cost calculation and statistics APIs
- Record input/output/cache tokens per API call
- Calculate estimated cost based on Claude pricing
- Provide user/conversation/global stats aggregation
- Support daily stats and top users ranking
- Integrate token tracking in ClaudeAgentService
- Track latency, tool calls, response length
- Accumulate tokens across tool loop iterations
- Add token_usages table to init-db.sql with proper indexes
This enables:
- Per-user token consumption tracking
- Cost analysis and optimization
- Future billing/quota features
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-23 08:23:58 -08:00
hailin
911132ab3e
feat(agent): upgrade to Level 3 with real RAG, Memory and Evolution integration
...
## Summary
Upgrade iConsulting from Level 2 (48 points) to Level 3 (68 points) by
implementing real service-to-service integration between conversation-service
and knowledge-service.
## New Files
- knowledge-client.service.ts: HTTP client for knowledge-service APIs
- knowledge.module.ts: NestJS module for KnowledgeClientService
- AGENT_EVALUATION_REPORT.md: Agent capability evaluation report
- LEVEL3_UPGRADE_PLAN.md: Upgrade plan and completion report
## Changes
### RAG Integration
- search_knowledge tool now calls /api/v1/knowledge/retrieve
- check_off_topic tool calls /api/v1/knowledge/check-off-topic
- Results include real vector similarity search from knowledge base
### Memory Integration
- save_user_memory writes to PostgreSQL + Neo4j via knowledge-service
- collect_assessment_info saves user data to long-term memory
- generate_payment records payment intent to user memory
- New get_user_context tool retrieves user's historical memories
### Evolution Integration
- getAccumulatedExperience() fetches approved system experiences
- sendMessage() dynamically injects experiences into system prompt
- System learns from approved experiences across all conversations
## Expected Score Improvement
| Dimension | Before | After | Delta |
|------------|--------|-------|-------|
| Tool Use | 14/20 | 18/20 | +4 |
| Memory | 12/20 | 16/20 | +4 |
| RAG | 10/20 | 16/20 | +6 |
| Evolution | 8/20 | 14/20 | +6 |
| Total | 48 | 68 | +20 |
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-22 23:45:58 -08:00