docs: add Mermaid diagrams to ARCHITECTURE and ABSTRACTIONS
- Three Representations flowchart (Filesystem → Cache → React state) - Startup Sequence diagram (Tauri → App → VaultLoader → Editor) - AI Agent Event Flow sequence diagram (NDJSON stream + MCP tool calls) - Search & Indexing flowchart (full vs incremental, three search modes) - Markdown-to-BlockNote pipeline flowchart (load path) - BlockNote-to-Markdown pipeline flowchart (save path) - VaultEntry class diagram (with TypeDocument + Frontmatter relationships)
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@@ -32,7 +32,56 @@ All data lives in markdown files with YAML frontmatter. There is no database —
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### VaultEntry
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The core data type representing a single note, defined in Rust (`src-tauri/src/vault/mod.rs`) and TypeScript (`src/types.ts`):
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The core data type representing a single note, defined in Rust (`src-tauri/src/vault/mod.rs`) and TypeScript (`src/types.ts`).
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```mermaid
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classDiagram
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class VaultEntry {
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+String path
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+String filename
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+String title
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+String? isA
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+String[] aliases
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+String[] belongsTo
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+String[] relatedTo
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+Record~string,string[]~ relationships
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+String[] outgoingLinks
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+String? status
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+String? owner
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+Number? modifiedAt
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+Number? createdAt
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+Number wordCount
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+String? snippet
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+Boolean archived
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+Boolean trashed
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+Number? trashedAt
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+Record~string,string~ properties
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}
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class TypeDocument {
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+String icon
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+String color
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+Number order
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+String sidebarLabel
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+String template
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+String sort
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+Boolean visible
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}
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class Frontmatter {
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+String type
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+String status
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+String url
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+String[] belongsTo
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+String[] relatedTo
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+String[] aliases
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...custom fields
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}
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VaultEntry --> Frontmatter : parsed from
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VaultEntry --> TypeDocument : isA resolves to
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VaultEntry "many" --> "1" TypeDocument : grouped by type
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```
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```typescript
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// src/types.ts
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@@ -315,25 +364,31 @@ const WikiLink = createReactInlineContentSpec(
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### Markdown-to-BlockNote Pipeline
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```
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Raw markdown
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→ splitFrontmatter() → [yaml, body]
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→ preProcessWikilinks(body) → replaces [[target]] with Unicode placeholder tokens
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→ editor.tryParseMarkdownToBlocks() → BlockNote block tree
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→ injectWikilinks(blocks) → walks tree, replaces placeholders with wikilink inline content nodes
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→ editor.replaceBlocks()
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```mermaid
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flowchart LR
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A["📄 Raw markdown\n(from disk)"] --> B["splitFrontmatter()\n→ yaml + body"]
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B --> C["preProcessWikilinks(body)\n[[target]] → ‹token›"]
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C --> D["tryParseMarkdownToBlocks()\n→ BlockNote block tree"]
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D --> E["injectWikilinks(blocks)\n‹token› → WikiLink node"]
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E --> F["editor.replaceBlocks()\n→ rendered editor"]
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style A fill:#f8f9fa,stroke:#6c757d,color:#000
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style F fill:#d4edda,stroke:#28a745,color:#000
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```
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Placeholder tokens use `\u2039` and `\u203A` to avoid colliding with markdown syntax.
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> Placeholder tokens use `\u2039` and `\u203A` to avoid colliding with markdown syntax.
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### BlockNote-to-Markdown Pipeline (Save)
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```
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BlockNote blocks
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→ editor.blocksToMarkdownLossy()
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→ postProcessWikilinks() → restore [[target]] syntax from wikilink nodes
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→ prepend frontmatter yaml
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→ invoke('save_note_content', { path, content })
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```mermaid
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flowchart LR
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A["✏️ BlockNote blocks\n(editor state)"] --> B["blocksToMarkdownLossy()"]
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B --> C["postProcessWikilinks()\nWikiLink node → [[target]]"]
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C --> D["prepend frontmatter yaml"]
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D --> E["invoke('save_note_content')\n→ disk write"]
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style A fill:#cce5ff,stroke:#004085,color:#000
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style E fill:#d4edda,stroke:#28a745,color:#000
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```
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### Wikilink Navigation
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@@ -31,6 +31,22 @@ Vault data exists in three forms simultaneously:
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These must never diverge permanently. If they do, the filesystem wins and the cache/state are rebuilt.
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```mermaid
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flowchart LR
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FS["🗂️ Filesystem\n.md files on disk\n(source of truth)"]
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Cache["⚡ Cache\n~/.laputa/cache/\n(fast startup index)"]
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RS["⚛️ React State\nVaultEntry[]\n(in-memory session)"]
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FS -->|"scan_vault_cached()"| Cache
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Cache -->|"useVaultLoader on load"| RS
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FS -->|"reload_vault (full rescan)"| RS
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RS -.->|"write via Tauri IPC first"| FS
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style FS fill:#d4edda,stroke:#28a745,color:#000
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style Cache fill:#fff3cd,stroke:#ffc107,color:#000
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style RS fill:#cce5ff,stroke:#004085,color:#000
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```
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#### Ownership rules
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| Layer | Owner | Writes to | Reads from |
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@@ -160,21 +176,38 @@ Full agent mode — spawns Claude CLI as a subprocess with tool access and MCP v
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#### Agent Event Flow
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```
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User sends message in AiPanel
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→ useAiAgent.sendMessage(text, references)
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→ buildContextSnapshot(activeNote, linkedNotes, openTabs)
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→ invoke('stream_claude_agent', { message, systemPrompt, vaultPath })
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→ Rust spawns: claude -p <msg> --output-format stream-json --mcp-config <json>
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→ NDJSON lines parsed into ClaudeStreamEvent variants:
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Init, TextDelta, ThinkingDelta, ToolStart, ToolDone, Result, Error, Done
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→ Events emitted via Tauri: app_handle.emit("claude-agent-stream", &event)
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→ Frontend listener routes events:
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onText → accumulate response (revealed on Done)
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onThinking → show reasoning block (collapsed on first text)
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onToolStart → add AiActionCard with spinner
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onToolDone → update card with output
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onDone → reveal full response, detect file operations
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```mermaid
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sequenceDiagram
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participant U as User (AiPanel)
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participant FE as useAiAgent (Frontend)
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participant R as claude_cli.rs (Rust)
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participant C as Claude CLI
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participant V as Vault (MCP)
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U->>FE: sendMessage(text, references)
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FE->>FE: buildContextSnapshot(activeNote, linkedNotes, openTabs)
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FE->>R: invoke('stream_claude_agent', {message, systemPrompt, vaultPath})
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R->>C: spawn claude -p <msg> --output-format stream-json --mcp-config <json>
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loop NDJSON stream
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C-->>R: Init | TextDelta | ThinkingDelta | ToolStart | ToolDone | Result | Done
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R-->>FE: emit("claude-agent-stream", event)
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alt TextDelta
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FE->>FE: accumulate response (revealed on Done)
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else ThinkingDelta
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FE->>FE: show reasoning block (collapses on first text)
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else ToolStart
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FE->>FE: add AiActionCard with spinner
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else ToolDone
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FE->>FE: update card with output
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else Done
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FE->>FE: reveal full response
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FE->>FE: detect file operations → reload vault if needed
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end
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end
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C->>V: MCP tool calls (search_notes, read_note, edit_note…)
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V-->>C: tool results
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```
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#### File Operation Detection
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@@ -317,16 +350,28 @@ Search uses the external `qmd` binary (semantic search engine) with three modes:
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### Indexing Flow
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```
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Vault opened
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→ check_index_status() → parse qmd status output
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→ if stale or missing:
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→ start_indexing() (two phases):
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Phase 1 (Scanning): qmd update — scan all .md files
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Phase 2 (Embedding): qmd embed — generate vector embeddings
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→ Progress streamed via Tauri "indexing-progress" event
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→ Metadata saved to .laputa-index.json (last_indexed_commit, timestamp)
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→ run_incremental_update() for subsequent changes
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```mermaid
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flowchart TD
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A([Vault opened]) --> B[check_index_status]
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B --> C{Index status?}
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C -->|Fresh| D[run_incremental_update\ngit diff since last commit]
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C -->|Stale / Missing| E
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subgraph E[Full Indexing — start_indexing]
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E1["Phase 1: qmd update\n(scan all .md files)"]
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E2["Phase 2: qmd embed\n(generate vector embeddings)"]
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E1 --> E2
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end
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E --> F[Save .laputa-index.json\nlast_indexed_commit + timestamp]
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D --> G([Search ready])
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F --> G
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E2 -.->|failure is non-fatal| G
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G --> H{Search mode}
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H -->|keyword| I[qmd search]
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H -->|semantic| J[qmd vsearch]
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H -->|hybrid| K[qmd query]
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```
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Embedding failure is non-fatal — keyword search still works.
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@@ -432,30 +477,40 @@ Backend: `get_vault_pulse` Tauri command parses `git log` with `--name-status`.
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### Startup Sequence
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```
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1. Tauri setup:
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a. run_startup_tasks() → purge trash, migrate frontmatter, seed themes, migrate AGENTS.md, seed config files, register MCP
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b. spawn_ws_bridge() → start MCP WebSocket bridge (ports 9710, 9711)
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2. App mounts
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3. useOnboarding checks vault exists → WelcomeScreen if not
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4. useVaultLoader fires:
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a. invoke('list_vault', { path }) → scan_vault_cached() → VaultEntry[]
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b. Load modified files via invoke('get_modified_files')
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c. useMcpStatus → register MCP if needed
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d. useThemeManager → load and apply active theme
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e. useIndexing → check index status, trigger incremental update if needed
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5. User clicks note in NoteList
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6. useNoteActions.handleSelectNote:
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a. invoke('get_note_content') → raw markdown
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b. Add tab { entry, content } to tabs state
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c. Set activeTabPath
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7. Editor renders BlockNoteTab:
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a. splitFrontmatter(content) → [yaml, body]
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b. preProcessWikilinks(body) → replaces [[target]] with tokens
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c. editor.tryParseMarkdownToBlocks(preprocessed)
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d. injectWikilinks(blocks) → replaces tokens with wikilink nodes
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e. editor.replaceBlocks()
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8. Inspector renders frontmatter parsed from content
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```mermaid
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sequenceDiagram
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participant T as Tauri (Rust)
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participant A as App.tsx
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participant VL as useVaultLoader
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participant MCP as MCP Server
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participant U as User
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T->>T: run_startup_tasks()<br/>(purge trash, seed themes, register MCP)
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T->>MCP: spawn_ws_bridge() — ports 9710 + 9711
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T->>A: App mounts
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A->>A: useOnboarding — vault exists?
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alt Vault missing
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A-->>U: WelcomeScreen
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else Vault found
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A->>VL: useVaultLoader fires
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VL->>T: invoke('list_vault') → scan_vault_cached()
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T-->>VL: VaultEntry[]
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VL->>T: invoke('get_modified_files')
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VL->>T: useMcpStatus — register if needed
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VL->>T: useThemeManager — load active theme
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VL->>T: useIndexing — incremental update if stale
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VL-->>A: entries ready
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end
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U->>A: clicks note in NoteList
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A->>T: invoke('get_note_content')
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T-->>A: raw markdown
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A->>A: splitFrontmatter → [yaml, body]
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A->>A: preProcessWikilinks(body)
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A->>A: tryParseMarkdownToBlocks()
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A->>A: injectWikilinks(blocks)
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A-->>U: Editor renders note
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```
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### Auto-Save Flow
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