ai-robot-core/docs/progress/ai-service-AISVC-RES-progre...

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---
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"
---