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)
This commit is contained in:
lucaronin
2026-03-13 19:12:20 +01:00
parent 8e0bf679f1
commit 1b0f7d71d4
2 changed files with 174 additions and 64 deletions

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@@ -32,7 +32,56 @@ All data lives in markdown files with YAML frontmatter. There is no database —
### VaultEntry
The core data type representing a single note, defined in Rust (`src-tauri/src/vault/mod.rs`) and TypeScript (`src/types.ts`):
The core data type representing a single note, defined in Rust (`src-tauri/src/vault/mod.rs`) and TypeScript (`src/types.ts`).
```mermaid
classDiagram
class VaultEntry {
+String path
+String filename
+String title
+String? isA
+String[] aliases
+String[] belongsTo
+String[] relatedTo
+Record~string,string[]~ relationships
+String[] outgoingLinks
+String? status
+String? owner
+Number? modifiedAt
+Number? createdAt
+Number wordCount
+String? snippet
+Boolean archived
+Boolean trashed
+Number? trashedAt
+Record~string,string~ properties
}
class TypeDocument {
+String icon
+String color
+Number order
+String sidebarLabel
+String template
+String sort
+Boolean visible
}
class Frontmatter {
+String type
+String status
+String url
+String[] belongsTo
+String[] relatedTo
+String[] aliases
...custom fields
}
VaultEntry --> Frontmatter : parsed from
VaultEntry --> TypeDocument : isA resolves to
VaultEntry "many" --> "1" TypeDocument : grouped by type
```
```typescript
// src/types.ts
@@ -315,25 +364,31 @@ const WikiLink = createReactInlineContentSpec(
### Markdown-to-BlockNote Pipeline
```
Raw markdown
splitFrontmatter() [yaml, body]
preProcessWikilinks(body) → replaces [[target]] with Unicode placeholder tokens
→ editor.tryParseMarkdownToBlocks() → BlockNote block tree
injectWikilinks(blocks) → walks tree, replaces placeholders with wikilink inline content nodes
editor.replaceBlocks()
```mermaid
flowchart LR
A["📄 Raw markdown\n(from disk)"] --> B["splitFrontmatter()\n→ yaml + body"]
B --> C["preProcessWikilinks(body)\n[[target]] → token"]
C --> D["tryParseMarkdownToBlocks()\n→ BlockNote block tree"]
D --> E["injectWikilinks(blocks)\ntoken → WikiLink node"]
E --> F["editor.replaceBlocks()\n→ rendered editor"]
style A fill:#f8f9fa,stroke:#6c757d,color:#000
style F fill:#d4edda,stroke:#28a745,color:#000
```
Placeholder tokens use `\u2039` and `\u203A` to avoid colliding with markdown syntax.
> Placeholder tokens use `\u2039` and `\u203A` to avoid colliding with markdown syntax.
### BlockNote-to-Markdown Pipeline (Save)
```
BlockNote blocks
→ editor.blocksToMarkdownLossy()
postProcessWikilinks() → restore [[target]] syntax from wikilink nodes
prepend frontmatter yaml
invoke('save_note_content', { path, content })
```mermaid
flowchart LR
A["✏️ BlockNote blocks\n(editor state)"] --> B["blocksToMarkdownLossy()"]
B --> C["postProcessWikilinks()\nWikiLink node → [[target]]"]
C --> D["prepend frontmatter yaml"]
D --> E["invoke('save_note_content')\n→ disk write"]
style A fill:#cce5ff,stroke:#004085,color:#000
style E fill:#d4edda,stroke:#28a745,color:#000
```
### Wikilink Navigation

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@@ -31,6 +31,22 @@ Vault data exists in three forms simultaneously:
These must never diverge permanently. If they do, the filesystem wins and the cache/state are rebuilt.
```mermaid
flowchart LR
FS["🗂️ Filesystem\n.md files on disk\n(source of truth)"]
Cache["⚡ Cache\n~/.laputa/cache/\n(fast startup index)"]
RS["⚛️ React State\nVaultEntry[]\n(in-memory session)"]
FS -->|"scan_vault_cached()"| Cache
Cache -->|"useVaultLoader on load"| RS
FS -->|"reload_vault (full rescan)"| RS
RS -.->|"write via Tauri IPC first"| FS
style FS fill:#d4edda,stroke:#28a745,color:#000
style Cache fill:#fff3cd,stroke:#ffc107,color:#000
style RS fill:#cce5ff,stroke:#004085,color:#000
```
#### Ownership rules
| Layer | Owner | Writes to | Reads from |
@@ -160,21 +176,38 @@ Full agent mode — spawns Claude CLI as a subprocess with tool access and MCP v
#### Agent Event Flow
```
User sends message in AiPanel
→ useAiAgent.sendMessage(text, references)
→ buildContextSnapshot(activeNote, linkedNotes, openTabs)
→ invoke('stream_claude_agent', { message, systemPrompt, vaultPath })
→ Rust spawns: claude -p <msg> --output-format stream-json --mcp-config <json>
→ NDJSON lines parsed into ClaudeStreamEvent variants:
Init, TextDelta, ThinkingDelta, ToolStart, ToolDone, Result, Error, Done
→ Events emitted via Tauri: app_handle.emit("claude-agent-stream", &event)
→ Frontend listener routes events:
onText → accumulate response (revealed on Done)
onThinking → show reasoning block (collapsed on first text)
onToolStart → add AiActionCard with spinner
onToolDone → update card with output
onDone → reveal full response, detect file operations
```mermaid
sequenceDiagram
participant U as User (AiPanel)
participant FE as useAiAgent (Frontend)
participant R as claude_cli.rs (Rust)
participant C as Claude CLI
participant V as Vault (MCP)
U->>FE: sendMessage(text, references)
FE->>FE: buildContextSnapshot(activeNote, linkedNotes, openTabs)
FE->>R: invoke('stream_claude_agent', {message, systemPrompt, vaultPath})
R->>C: spawn claude -p <msg> --output-format stream-json --mcp-config <json>
loop NDJSON stream
C-->>R: Init | TextDelta | ThinkingDelta | ToolStart | ToolDone | Result | Done
R-->>FE: emit("claude-agent-stream", event)
alt TextDelta
FE->>FE: accumulate response (revealed on Done)
else ThinkingDelta
FE->>FE: show reasoning block (collapses on first text)
else ToolStart
FE->>FE: add AiActionCard with spinner
else ToolDone
FE->>FE: update card with output
else Done
FE->>FE: reveal full response
FE->>FE: detect file operations → reload vault if needed
end
end
C->>V: MCP tool calls (search_notes, read_note, edit_note…)
V-->>C: tool results
```
#### File Operation Detection
@@ -317,16 +350,28 @@ Search uses the external `qmd` binary (semantic search engine) with three modes:
### Indexing Flow
```
Vault opened
→ check_index_status() → parse qmd status output
→ if stale or missing:
→ start_indexing() (two phases):
Phase 1 (Scanning): qmd update — scan all .md files
Phase 2 (Embedding): qmd embed — generate vector embeddings
→ Progress streamed via Tauri "indexing-progress" event
→ Metadata saved to .laputa-index.json (last_indexed_commit, timestamp)
→ run_incremental_update() for subsequent changes
```mermaid
flowchart TD
A([Vault opened]) --> B[check_index_status]
B --> C{Index status?}
C -->|Fresh| D[run_incremental_update\ngit diff since last commit]
C -->|Stale / Missing| E
subgraph E[Full Indexing — start_indexing]
E1["Phase 1: qmd update\n(scan all .md files)"]
E2["Phase 2: qmd embed\n(generate vector embeddings)"]
E1 --> E2
end
E --> F[Save .laputa-index.json\nlast_indexed_commit + timestamp]
D --> G([Search ready])
F --> G
E2 -.->|failure is non-fatal| G
G --> H{Search mode}
H -->|keyword| I[qmd search]
H -->|semantic| J[qmd vsearch]
H -->|hybrid| K[qmd query]
```
Embedding failure is non-fatal — keyword search still works.
@@ -432,30 +477,40 @@ Backend: `get_vault_pulse` Tauri command parses `git log` with `--name-status`.
### Startup Sequence
```
1. Tauri setup:
a. run_startup_tasks() → purge trash, migrate frontmatter, seed themes, migrate AGENTS.md, seed config files, register MCP
b. spawn_ws_bridge() → start MCP WebSocket bridge (ports 9710, 9711)
2. App mounts
3. useOnboarding checks vault exists → WelcomeScreen if not
4. useVaultLoader fires:
a. invoke('list_vault', { path }) → scan_vault_cached() → VaultEntry[]
b. Load modified files via invoke('get_modified_files')
c. useMcpStatus → register MCP if needed
d. useThemeManager → load and apply active theme
e. useIndexing → check index status, trigger incremental update if needed
5. User clicks note in NoteList
6. useNoteActions.handleSelectNote:
a. invoke('get_note_content') → raw markdown
b. Add tab { entry, content } to tabs state
c. Set activeTabPath
7. Editor renders BlockNoteTab:
a. splitFrontmatter(content) → [yaml, body]
b. preProcessWikilinks(body) → replaces [[target]] with tokens
c. editor.tryParseMarkdownToBlocks(preprocessed)
d. injectWikilinks(blocks) → replaces tokens with wikilink nodes
e. editor.replaceBlocks()
8. Inspector renders frontmatter parsed from content
```mermaid
sequenceDiagram
participant T as Tauri (Rust)
participant A as App.tsx
participant VL as useVaultLoader
participant MCP as MCP Server
participant U as User
T->>T: run_startup_tasks()<br/>(purge trash, seed themes, register MCP)
T->>MCP: spawn_ws_bridge() — ports 9710 + 9711
T->>A: App mounts
A->>A: useOnboarding — vault exists?
alt Vault missing
A-->>U: WelcomeScreen
else Vault found
A->>VL: useVaultLoader fires
VL->>T: invoke('list_vault') → scan_vault_cached()
T-->>VL: VaultEntry[]
VL->>T: invoke('get_modified_files')
VL->>T: useMcpStatus — register if needed
VL->>T: useThemeManager — load active theme
VL->>T: useIndexing — incremental update if stale
VL-->>A: entries ready
end
U->>A: clicks note in NoteList
A->>T: invoke('get_note_content')
T-->>A: raw markdown
A->>A: splitFrontmatter → [yaml, body]
A->>A: preProcessWikilinks(body)
A->>A: tryParseMarkdownToBlocks()
A->>A: injectWikilinks(blocks)
A-->>U: Editor renders note
```
### Auto-Save Flow