--- context: module: "ai-service" feature: "AISVC-RES" status: "✅已完成" version: "0.9.0" active_ac_range: "AC-AISVC-RES-01~15" spec_references: requirements: "spec/ai-service/iterations/v0.9.0-retrieval-embedding-strategy/requirements.md" design: "spec/ai-service/iterations/v0.9.0-retrieval-embedding-strategy/design.md" tasks: "spec/ai-service/iterations/v0.9.0-retrieval-embedding-strategy/tasks.md" openapi_provider: "spec/ai-service/iterations/v0.9.0-retrieval-embedding-strategy/openapi.provider.yaml" active_version: "0.1.0" overall_progress: - "[x] Phase 1: Schema与数据模型定义 (100%) [API与校验]" - "[x] Phase 2: 策略服务层实现 (100%) [策略层与配置]" - "[x] Phase 3: 审计日志与指标埋点 (100%) [观测与灰度验证]" - "[x] Phase 4: API端点实现 (100%) [API与校验]" - "[x] Phase 5: 单元测试与验证 (100%) [验收]" - "[x] Phase 6: 检索策略Pipeline实现 (100%) [检索与嵌入策略]" current_phase: goal: "检索与嵌入策略化改造已完成" sub_tasks: - "[x] 创建 Schema 模型 (app/schemas/retrieval_strategy.py)" - "[x] 创建策略服务层 (app/services/retrieval/strategy_service.py)" - "[x] 创建审计日志服务 (app/services/retrieval/strategy_audit.py)" - "[x] 创建指标埋点服务 (app/services/retrieval/strategy_metrics.py)" - "[x] 创建 API 端点 (app/api/admin/retrieval_strategy.py)" - "[x] 创建策略配置模型 (app/services/retrieval/strategy/config.py)" - "[x] 实现 DefaultPipeline(复用现有逻辑)" - "[x] 实现 EnhancedPipeline(新端到端流程)" - "[x] 实现元数据推断统一入口 (MetadataInferenceService)" - "[x] 实现 StrategyRouter 和 ModeRouter" - "[x] 实现 Dense + Keyword + RRF 组合检索" - "[x] 实现可选重排与降级开关" - "[x] 实现 RollbackManager(回退与审计)" - "[x] 实现策略 API 接口" - "[x] 创建单元测试 (tests/test_retrieval_strategy_v2.py)" - "[x] 运行单元测试验证 (51 passed)" next_action: immediate: "任务已完成,可进行集成测试" details: file: "ai-service/app/services/retrieval/strategy/__init__.py:1" action: "模块已完整实现,可通过 API 接口测试策略切换功能" reference: "http://localhost:8000/docs" constraints: "新策略可配置启用,不影响默认策略" technical_context: module_structure: | ai-service/app/ ├── api/admin/retrieval_strategy.py (API端点) ├── schemas/retrieval_strategy.py (Schema模型) └── services/retrieval/ ├── strategy_service.py (策略服务) ├── strategy_audit.py (审计日志) ├── strategy_metrics.py (指标埋点) └── strategy/ (新增 - 策略模块) ├── __init__.py (模块导出) ├── config.py (策略配置模型) ├── pipeline_base.py (Pipeline基类) ├── default_pipeline.py (默认策略Pipeline) ├── enhanced_pipeline.py (增强策略Pipeline) ├── metadata_inference.py (元数据推断统一入口) ├── strategy_router.py (策略路由器) ├── mode_router.py (模式路由器) └── rollback_manager.py (回退管理器) └── tests/ ├── test_retrieval_strategy.py (单元测试 - 原有) └── test_retrieval_strategy_v2.py (单元测试 - 新增) key_decisions: - decision: "使用内存存储策略状态,后续可扩展为持久化" reason: "快速实现,满足灰度验证需求" impact: "服务重启后策略状态重置为默认值" - decision: "审计日志使用结构化日志记录" reason: "与现有日志体系一致,便于检索" impact: "需要配置日志聚合系统收集审计日志" - decision: "API与现有strategy_router.py互补" reason: "strategy_router.py负责检索路由逻辑,新增的API负责策略管理" impact: "两者协同工作,API提供管理界面" - decision: "DefaultPipeline 复用现有 OptimizedRetriever 逻辑" reason: "保持线上行为不变,最小化改动风险" impact: "新策略与旧策略完全隔离,可独立灰度" - decision: "EnhancedPipeline 实现新端到端流程" reason: "支持 Dense + Keyword + RRF 组合检索,可选重排" impact: "需要配置启用,不影响默认策略" - decision: "元数据推断统一入口处理 hard/soft filter" reason: "新旧策略共享同一推断逻辑,确保一致性" impact: "置信度高用硬过滤,置信度低用软过滤/加权" code_snippets: | # 使用示例 from app.services.retrieval.strategy import ( get_strategy_router, get_mode_router, get_rollback_manager, ) # 策略路由 router = get_strategy_router() decision = await router.route(tenant_id, user_id) result = await decision.pipeline.retrieve(ctx) # 模式路由 mode_router = get_mode_router() mode_decision = mode_router.decide(query, confidence=0.8) # 回退管理 rollback = get_rollback_manager() rollback.rollback(trigger="manual", reason="测试回退") session_history: - session: "Session #1 (2026-03-10)" completed: - "创建 Schema 模型 (app/schemas/retrieval_strategy.py)" - "创建策略服务层 (app/services/retrieval/strategy_service.py)" - "创建审计日志服务 (app/services/retrieval/strategy_audit.py)" - "创建指标埋点服务 (app/services/retrieval/strategy_metrics.py)" - "创建 API 端点 (app/api/admin/retrieval_strategy.py)" - "更新 admin __init__.py 注册新路由" - "更新 main.py 注册新路由" - "创建单元测试 (tests/test_retrieval_strategy.py)" - "运行单元测试验证 (46 passed)" changes: - "新增: ai-service/app/schemas/retrieval_strategy.py" - "新增: ai-service/app/services/retrieval/strategy_service.py" - "新增: ai-service/app/services/retrieval/strategy_audit.py" - "新增: ai-service/app/services/retrieval/strategy_metrics.py" - "新增: ai-service/app/api/admin/retrieval_strategy.py" - "修改: ai-service/app/api/admin/__init__.py" - "修改: ai-service/app/main.py" - "新增: ai-service/tests/test_retrieval_strategy.py" status: "✅ 任务完成" - session: "Session #2 (2026-03-10) - 检索策略Pipeline实现" completed: - "实现策略配置模型 (config.py)" - "实现 Pipeline 基类 (pipeline_base.py)" - "实现 DefaultPipeline(复用现有逻辑)" - "实现 EnhancedPipeline(新端到端流程)" - "实现 MetadataInferenceService" - "实现 StrategyRouter" - "实现 ModeRouter" - "实现 RollbackManager" - "更新模块导出 (__init__.py)" - "创建单元测试 (tests/test_retrieval_strategy_v2.py)" - "运行单元测试验证 (51 passed)" changes: - "新增: ai-service/app/services/retrieval/strategy/__init__.py" - "新增: ai-service/app/services/retrieval/strategy/config.py" - "新增: ai-service/app/services/retrieval/strategy/pipeline_base.py" - "新增: ai-service/app/services/retrieval/strategy/default_pipeline.py" - "新增: ai-service/app/services/retrieval/strategy/enhanced_pipeline.py" - "新增: ai-service/app/services/retrieval/strategy/metadata_inference.py" - "新增: ai-service/app/services/retrieval/strategy/strategy_router.py" - "新增: ai-service/app/services/retrieval/strategy/mode_router.py" - "新增: ai-service/app/services/retrieval/strategy/rollback_manager.py" - "新增: ai-service/tests/test_retrieval_strategy_v2.py" status: "✅ 任务完成" startup_guide: - "Step 1: 读取本进度文档(了解当前位置与下一步)" - "Step 2: 读取 spec_references 中定义的模块规范(了解业务与接口约束)" - "Step 3: 通过 API 接口测试策略切换功能" - "Step 4: 运行单元测试验证: pytest tests/test_retrieval_strategy_v2.py -v" ---