feat: ship v0.8.0 with writing logs and AI knowledge extraction
Deliver P5.2 writing day logs, cockpit heatmap, streak tracking, and chapter knowledge auto-extraction with merge review. Co-authored-by: Cursor <cursoragent@cursor.com>
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-2
@@ -44,7 +44,9 @@ import type {
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KnowledgeType,
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CockpitSummary,
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ChapterBridgeResult,
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PublishStatus
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PublishStatus,
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WritingStats,
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KnowledgeExtractionResult
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} from '../shared/types'
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const electronAPI = {
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@@ -461,7 +463,25 @@ const electronAPI = {
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bookId: string,
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opts?: KnowledgeSuggestOptions
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): Promise<IpcResult<ScoredKnowledge[]>> =>
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ipcRenderer.invoke(IPC.KNOWLEDGE_SUGGEST_CONTEXT, { bookId, opts })
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ipcRenderer.invoke(IPC.KNOWLEDGE_SUGGEST_CONTEXT, { bookId, opts }),
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extractChapter: (
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bookId: string,
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chapterId: string
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): Promise<IpcResult<KnowledgeExtractionResult>> =>
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ipcRenderer.invoke(IPC.KNOWLEDGE_EXTRACT_CHAPTER, { bookId, chapterId }),
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approveMerge: (bookId: string, pendingId: string): Promise<IpcResult<KnowledgeEntry>> =>
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ipcRenderer.invoke(IPC.KNOWLEDGE_APPROVE_MERGE, { bookId, pendingId }),
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saveMergeAsNew: (bookId: string, pendingId: string): Promise<IpcResult<KnowledgeEntry>> =>
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ipcRenderer.invoke(IPC.KNOWLEDGE_SAVE_MERGE_AS_NEW, { bookId, pendingId }),
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batchApproveHighConfidence: (
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bookId: string,
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threshold?: number
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): Promise<IpcResult<number>> =>
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ipcRenderer.invoke(IPC.KNOWLEDGE_BATCH_APPROVE_HIGH_CONFIDENCE, { bookId, threshold })
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},
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writing: {
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getStats: (bookId: string): Promise<IpcResult<WritingStats>> =>
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ipcRenderer.invoke(IPC.WRITING_GET_STATS, { bookId })
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},
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cockpit: {
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getSummary: (bookId: string, volumeId?: string): Promise<IpcResult<CockpitSummary>> =>
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