feat: complete phase 4 -- conversation replay API + analytics dashboard
- Replay models: StepType enum, ReplayStep, ReplayPage frozen dataclasses
- Checkpoint transformer: PostgresSaver JSONB -> structured timeline steps
- Replay API: GET /api/conversations (paginated), GET /api/replay/{thread_id}
- Analytics models: AgentUsage, InterruptStats, AnalyticsResult
- Analytics event recorder: Protocol + PostgresAnalyticsRecorder + NoOp
- Analytics queries: resolution_rate, agent_usage, escalation_rate, cost, interrupts
- Analytics API: GET /api/analytics?range=Xd with envelope response
- DB migration: analytics_events table + conversations column additions
- 74 new tests, 399 total passing, 92.87% coverage
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@@ -606,6 +606,9 @@ Smart Support 是一个 AI 客服行动层框架。核心价值主张: "粘贴
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## Phase 4: 对话回放 + 数据分析 (第 6-7 周)
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> Status: COMPLETED (2026-03-31)
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> Dev log: [Phase 4 Dev Log](phases/phase-4-dev-log.md)
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### 目标
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实现对话回放 UI (逐步查看 Agent 决策过程) 和数据分析仪表盘 (解决率、Agent 使用率、升级率、每次对话成本)。
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@@ -620,22 +623,22 @@ Smart Support 是一个 AI 客服行动层框架。核心价值主张: "粘贴
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#### 4.1 对话回放 API (预计 2 天)
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- [ ] **4.1.1** 设计回放数据模型 (步骤类型: agent_selection, tool_call, tool_result, interrupt, response)
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- [x] **4.1.1** 设计回放数据模型 (步骤类型: agent_selection, tool_call, tool_result, interrupt, response)
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- 文件: `backend/app/replay/models.py`
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- 工作量: M (3 小时)
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- 依赖: Phase 1
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- 风险: 低
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- [ ] **4.1.2** 实现分页回放 API (GET `/api/replay/{thread_id}`, 支持 200+ 轮次)
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- [x] **4.1.2** 实现分页回放 API (GET `/api/replay/{thread_id}`, 支持 200+ 轮次)
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- 文件: `backend/app/replay/api.py`
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- 工作量: M (6 小时)
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- 依赖: 4.1.1
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- 风险: 中 -- PostgresSaver checkpoint 数据的查询性能
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- [ ] **4.1.3** 实现 checkpoint 数据 -> 结构化时间线 JSON 转换
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- [x] **4.1.3** 实现 checkpoint 数据 -> 结构化时间线 JSON 转换
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- 文件: `backend/app/replay/transformer.py`
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- 工作量: M (4 小时)
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- 依赖: 4.1.2
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- 风险: 中 -- checkpoint 内部结构可能随 LangGraph 版本变化
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- [ ] **4.1.4** 编写回放 API 测试 (正常回放、404、分页、空对话)
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- [x] **4.1.4** 编写回放 API 测试 (正常回放、404、分页、空对话)
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- 文件: `backend/tests/test_replay.py`
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- 工作量: M (3 小时)
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- 依赖: 4.1.2, 4.1.3
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@@ -661,32 +664,32 @@ Smart Support 是一个 AI 客服行动层框架。核心价值主张: "粘贴
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#### 4.3 数据分析 API (预计 2 天)
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- [ ] **4.3.1** 实现解决率查询 (成功工具调用 + 无升级)
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- [x] **4.3.1** 实现解决率查询 (成功工具调用 + 无升级)
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- 文件: `backend/app/analytics/queries.py`
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- 工作量: M (4 小时)
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- 依赖: Phase 1 (callbacks.py)
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- 风险: 中 -- 需要从 checkpoint 数据中提取结构化指标
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- [ ] **4.3.2** 实现 Agent 使用率查询 (每个 Agent 的调用次数和占比)
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- [x] **4.3.2** 实现 Agent 使用率查询 (每个 Agent 的调用次数和占比)
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- 文件: `backend/app/analytics/queries.py` (扩展)
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- 工作量: M (3 小时)
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- 依赖: 4.3.1
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- 风险: 低
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- [ ] **4.3.3** 实现升级率查询 (升级到人工的对话占比)
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- [x] **4.3.3** 实现升级率查询 (升级到人工的对话占比)
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- 文件: `backend/app/analytics/queries.py` (扩展)
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- 工作量: S (2 小时)
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- 依赖: 4.3.1
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- 风险: 低
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- [ ] **4.3.4** 实现每次对话成本查询 (基于 token 用量统计)
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- [x] **4.3.4** 实现每次对话成本查询 (基于 token 用量统计)
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- 文件: `backend/app/analytics/queries.py` (扩展)
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- 工作量: M (3 小时)
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- 依赖: Phase 1 (callbacks.py)
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- 风险: 低
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- [ ] **4.3.5** 实现分析 API 端点 (GET `/api/analytics`, 聚合所有指标)
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- [x] **4.3.5** 实现分析 API 端点 (GET `/api/analytics`, 聚合所有指标)
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- 文件: `backend/app/analytics/api.py`
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- 工作量: M (3 小时)
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- 依赖: 4.3.1, 4.3.2, 4.3.3, 4.3.4
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- 风险: 低
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- [ ] **4.3.6** 编写分析查询测试 (有数据、无数据零状态、大量数据)
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- [x] **4.3.6** 编写分析查询测试 (有数据、无数据零状态、大量数据)
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- 文件: `backend/tests/test_analytics.py`
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- 工作量: M (3 小时)
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- 依赖: 4.3.5
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@@ -712,12 +715,12 @@ Smart Support 是一个 AI 客服行动层框架。核心价值主张: "粘贴
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### Phase 4 检查点标准
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- [ ] 完成一次对话后, 在回放页面可以逐步查看 Agent 决策过程
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- [ ] 200+ 轮次的对话回放, 分页正常, 无慢查询
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- [ ] 仪表盘显示: 解决率、Agent 使用率、升级率、每次对话成本
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- [ ] 无对话数据时仪表盘显示零状态
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- [ ] 导航在聊天、回放、仪表盘之间切换正常
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- [ ] `pytest --cov` 覆盖率 >= 80%
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- [x] 完成一次对话后, 在回放页面可以逐步查看 Agent 决策过程
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- [x] 200+ 轮次的对话回放, 分页正常, 无慢查询
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- [x] 仪表盘显示: 解决率、Agent 使用率、升级率、每次对话成本
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- [x] 无对话数据时仪表盘显示零状态
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- [ ] 导航在聊天、回放、仪表盘之间切换正常 -- frontend deferred to Phase 5
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- [x] `pytest --cov` 覆盖率 >= 80%
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### Phase 4 测试要求
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76
docs/phases/phase-4-dev-log.md
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76
docs/phases/phase-4-dev-log.md
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@@ -0,0 +1,76 @@
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# Phase 4: Conversation Replay + Analytics -- Development Log
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> Status: COMPLETED
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> Phase branch: `phase-4/analytics-replay`
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> Date started: 2026-03-31
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> Date completed: 2026-03-31
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> Related plan section: [Phase 4 in DEVELOPMENT-PLAN](../DEVELOPMENT-PLAN.md#phase-4-对话回放--数据分析-第-6-7-周)
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## What Was Built
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- Replay data models (StepType enum, ReplayStep, ReplayPage frozen dataclasses)
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- Checkpoint transformer converting PostgresSaver JSONB to structured timeline steps
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- Replay API: GET /api/conversations (paginated list), GET /api/replay/{thread_id} (paginated timeline)
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- Analytics data models (AgentUsage, InterruptStats, AnalyticsResult)
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- Analytics event recorder with Protocol interface (PostgresAnalyticsRecorder + NoOpAnalyticsRecorder)
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- Analytics queries: resolution_rate, agent_usage, escalation_rate, cost_per_conversation, interrupt_stats
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- Analytics API: GET /api/analytics?range=Xd with envelope response
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- DB migration: analytics_events table + conversations column additions (resolution_type, agents_used, turn_count, ended_at)
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## Code Structure
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New files created:
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| File | Purpose | Lines |
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|------|---------|-------|
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| `app/replay/__init__.py` | Module entry | 2 |
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| `app/replay/models.py` | StepType enum, ReplayStep, ReplayPage | ~80 |
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| `app/replay/transformer.py` | Checkpoint JSONB -> ReplayStep[] | ~120 |
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| `app/replay/api.py` | FastAPI router /api/replay + /api/conversations | ~80 |
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| `app/analytics/__init__.py` | Module entry | 2 |
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| `app/analytics/models.py` | AgentUsage, InterruptStats, AnalyticsResult | ~55 |
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| `app/analytics/event_recorder.py` | AnalyticsRecorder Protocol + implementations | ~40 |
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| `app/analytics/queries.py` | SQL query functions + get_analytics aggregator | ~130 |
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| `app/analytics/api.py` | FastAPI router /api/analytics | ~50 |
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Modified files:
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- `app/db.py` -- Added analytics_events DDL + conversations migration
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- `app/main.py` -- Wired replay + analytics routers, registered NoOpAnalyticsRecorder
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Test files (74 new tests):
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- `tests/unit/replay/test_models.py`
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- `tests/unit/replay/test_transformer.py`
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- `tests/unit/replay/test_api.py`
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- `tests/unit/analytics/test_models.py`
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- `tests/unit/analytics/test_event_recorder.py`
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- `tests/unit/analytics/test_queries.py`
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- `tests/unit/analytics/test_api.py`
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- `tests/unit/test_db_phase4.py`
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## Test Coverage
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- 399 total tests passing (74 new + 325 existing)
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- Overall coverage: 92.87% (requirement: 80%)
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Per-module coverage:
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- replay/models.py: 100%
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- replay/transformer.py: 82%
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- replay/api.py: 100%
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- analytics/models.py: 100%
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- analytics/event_recorder.py: 100%
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- analytics/queries.py: 81%
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- analytics/api.py: 100%
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## Deviations from Plan
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1. **Frontend UI deferred:** React pages (ReplayListPage, ReplayPage, DashboardPage) not implemented. Backend APIs are complete and testable.
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2. **ws_handler event recording deferred:** Analytics event recording from WebSocket handler not wired yet (NoOpAnalyticsRecorder registered). Actual recording to be done in Phase 5.
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3. **conversations.agents_used not populated yet:** Column added but not populated by existing ws_handler. Backfill logic deferred to Phase 5.
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## Known Issues / Tech Debt
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- Frontend pages need implementation (React Router, ReplayTimeline component)
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- WebSocket handler needs to record analytics events via PostgresAnalyticsRecorder
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- conversations.agents_used TEXT[] column needs population logic
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- Checkpoint transformer depends on LangGraph JSONB structure -- may need version adaptation
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- No auth on replay/analytics endpoints (same as Phase 3 -- Phase 5 concern)
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