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…ints - Extend retrieve_chunks with exclude_notebook_id and source_id filters - writing-context: use retrieve_chunks + notebook ownership (404) - related-knowledge: hybrid RAG; 404 if notebook not owned - source suggestions: semantic retrieve within source; owner-scoped source query - summarize fallback: order chunks by created_at desc instead of random - send_message: parallel graph_augmented_context; global conv uses global_search RAG Made-with: Cursor
- Unit: compose_answer prepends extra_graph_context into reference message (mock llm.chat) - HTTP: writing-context / related-knowledge 404 + short-text path (PostgreSQL only; skip on SQLite JSONB) - Integration: send_message passes graph to compose; global conv uses global_search (PostgreSQL only) Made-with: Cursor
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Caution Review failedPull request was closed or merged during review 📝 WalkthroughSummary by CodeRabbit发布说明
高层概览该PR在系统中集成了Celery Beat定时任务调度器（文档、Docker配置、CLI更新），扩展了RAG检索功能以支持按笔记本/数据源过滤，为答案撰写添加了图谱增强上下文，改进了邮件投递状态追踪与错误详情记录，建立了后台任务的专用日志记录，并新增前端UI展示与双语本地化文本。 变更明细
时序交互图sequenceDiagram
participant User
participant ConvSvc as ConversationService
participant Retrieval as RAG Retrieval
participant GraphCtx as Graph Context
participant Composer as Composer
participant LLM
User->>ConvSvc: send_message(content, notebook_id)
par 并发检索
ConvSvc->>Retrieval: retrieve_chunks(content, user_id, notebook_id)
Retrieval-->>ConvSvc: chunks
and 并发获取图谱
ConvSvc->>GraphCtx: graph_augmented_context(content, notebook_id)
GraphCtx-->>ConvSvc: graph_ctx
end
ConvSvc->>Composer: compose_answer(content, chunks, [], extra_graph_context=graph_ctx)
Composer->>Composer: 前置图谱段落到上下文
Composer->>LLM: chat(messages_with_graph)
LLM-->>Composer: response
Composer-->>ConvSvc: answer
ConvSvc-->>User: message
sequenceDiagram
participant Scheduler as Task Scheduler
participant EmailProvider as Email Provider
participant DeliveryTracker as Delivery Tracker
participant DB as Database
participant UI as Frontend UI
Scheduler->>EmailProvider: send_email(config)
alt 发送成功
EmailProvider-->>Scheduler: EmailSendResult(ok=True)
Scheduler->>DeliveryTracker: delivery_status["email"]="sent"
else 发送失败
EmailProvider-->>Scheduler: EmailSendResult(ok=False, error="...")
Scheduler->>DeliveryTracker: delivery_status["email"]="failed"<br/>delivery_status["email_error"]="..."
end
Scheduler->>DeliveryTracker: summarize_delivery_outcome(delivery_status)
DeliveryTracker-->>Scheduler: (summary, issues)
Scheduler->>DB: save run.error_message=issues
UI->>DB: fetch task history
DB-->>UI: delivery_status
UI->>UI: getTaskDeliveryBadges(delivery_status)
UI-->>UI: render badges with tone & detail
代码审查工作量估计🎯 4 (复杂) | ⏱️ ~60 分钟 可能相关的PR
🚥 Pre-merge checks | ✅ 1 | ❌ 2❌ Failed checks (2 warnings)
✅ Passed checks (1 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
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Summary
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Changes
How to test
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Checklist
./lyra lintand there are no type errorsfeat:,fix:, etc.)