- Create resolveEntry() in wikilink.ts: single case-insensitive resolution function that handles title, alias, filename stem, path suffix, and pipe syntax matching - Replace findEntryByTarget (case-sensitive) and entryMatchesTarget (hardcoded /Laputa/ path) with unified resolveEntry - Fix attachClickHandlers to insert path|title pipe syntax when multiple candidates share the same title (disambiguation) - Update ai-context.ts resolveTarget to use unified resolution - Add comprehensive tests for resolveEntry and disambiguation Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
198 lines
6.3 KiB
TypeScript
198 lines
6.3 KiB
TypeScript
/**
|
|
* AI contextual chat — builds a structured context snapshot from the active note,
|
|
* open tabs, vault metadata, and optional explicit note references.
|
|
*/
|
|
|
|
import type { VaultEntry } from '../types'
|
|
import { wikilinkTarget, resolveEntry } from './wikilink'
|
|
import { splitFrontmatter } from './wikilinks'
|
|
|
|
/** Extract only the body text from raw file content (strips YAML frontmatter). */
|
|
function extractBody(rawContent: string): string {
|
|
const [, body] = splitFrontmatter(rawContent)
|
|
return body.trim()
|
|
}
|
|
|
|
/** Resolve a link target string to a VaultEntry by matching title, aliases, or filename stem.
|
|
* Delegates to the unified resolveEntry for consistent matching. */
|
|
export function resolveTarget(target: string, entries: VaultEntry[]): VaultEntry | undefined {
|
|
return resolveEntry(entries, target)
|
|
}
|
|
|
|
/** Collect first-degree linked notes from the active entry. */
|
|
export function collectLinkedEntries(
|
|
active: VaultEntry,
|
|
entries: VaultEntry[],
|
|
): VaultEntry[] {
|
|
const seen = new Set<string>([active.path])
|
|
const linked: VaultEntry[] = []
|
|
|
|
const addTarget = (target: string) => {
|
|
const entry = resolveTarget(target, entries)
|
|
if (entry && !seen.has(entry.path)) {
|
|
seen.add(entry.path)
|
|
linked.push(entry)
|
|
}
|
|
}
|
|
|
|
for (const target of active.outgoingLinks) {
|
|
addTarget(target)
|
|
}
|
|
|
|
for (const refs of Object.values(active.relationships)) {
|
|
for (const ref of refs) {
|
|
addTarget(wikilinkTarget(ref))
|
|
}
|
|
}
|
|
|
|
for (const ref of active.belongsTo) {
|
|
addTarget(wikilinkTarget(ref))
|
|
}
|
|
for (const ref of active.relatedTo) {
|
|
addTarget(wikilinkTarget(ref))
|
|
}
|
|
|
|
return linked
|
|
}
|
|
|
|
/** A note reference from the user's [[wikilink]] selection in the chat input. */
|
|
export interface NoteReference {
|
|
title: string
|
|
path: string
|
|
type: string | null
|
|
}
|
|
|
|
/** Lightweight note summary for the context snapshot. */
|
|
export interface NoteListItem {
|
|
path: string
|
|
title: string
|
|
type: string
|
|
}
|
|
|
|
/** Parameters for building the structured context snapshot. */
|
|
export interface ContextSnapshotParams {
|
|
activeEntry: VaultEntry
|
|
/** Direct content of the active note from the editor tab (most reliable source). */
|
|
activeNoteContent?: string
|
|
openTabs?: VaultEntry[]
|
|
noteList?: NoteListItem[]
|
|
noteListFilter?: { type: string | null; query: string }
|
|
entries: VaultEntry[]
|
|
references?: NoteReference[]
|
|
}
|
|
|
|
function entryFrontmatter(e: VaultEntry): Record<string, unknown> {
|
|
const fm: Record<string, unknown> = {}
|
|
if (e.isA) fm.type = e.isA
|
|
if (e.status) fm.status = e.status
|
|
if (e.owner) fm.owner = e.owner
|
|
if (e.belongsTo.length > 0) fm.belongsTo = e.belongsTo
|
|
if (e.relatedTo.length > 0) fm.relatedTo = e.relatedTo
|
|
if (Object.keys(e.relationships).length > 0) fm.relationships = e.relationships
|
|
return fm
|
|
}
|
|
|
|
const MAX_NOTE_LIST_ITEMS = 100
|
|
|
|
/** Build a structured context snapshot as a system prompt for Claude. */
|
|
export function buildContextSnapshot(params: ContextSnapshotParams): string {
|
|
const { activeEntry, activeNoteContent, openTabs, noteList, noteListFilter, entries, references } = params
|
|
|
|
const rawContent = activeNoteContent || ''
|
|
let body = extractBody(rawContent)
|
|
|
|
// Defence-in-depth: when body is empty but the note has content on disk,
|
|
// include an explicit instruction in the body field itself (more reliable
|
|
// than a preamble instruction that Claude might skip).
|
|
if (!body && activeEntry.wordCount > 0) {
|
|
body = `[Content not available in editor context — use get_note("${activeEntry.path}") to read the full note (${activeEntry.wordCount} words)]`
|
|
}
|
|
|
|
const snapshot: Record<string, unknown> = {
|
|
activeNote: {
|
|
path: activeEntry.path,
|
|
title: activeEntry.title,
|
|
type: activeEntry.isA ?? 'Note',
|
|
frontmatter: entryFrontmatter(activeEntry),
|
|
body,
|
|
wordCount: activeEntry.wordCount,
|
|
},
|
|
}
|
|
|
|
const otherTabs = openTabs?.filter(t => t.path !== activeEntry.path)
|
|
if (otherTabs && otherTabs.length > 0) {
|
|
snapshot.openTabs = otherTabs.map(t => ({
|
|
path: t.path,
|
|
title: t.title,
|
|
type: t.isA ?? 'Note',
|
|
frontmatter: entryFrontmatter(t),
|
|
}))
|
|
}
|
|
|
|
if (noteList && noteList.length > 0) {
|
|
const items = noteList.slice(0, MAX_NOTE_LIST_ITEMS)
|
|
snapshot.noteList = items
|
|
if (noteList.length > MAX_NOTE_LIST_ITEMS) {
|
|
snapshot.noteListTruncated = { shown: MAX_NOTE_LIST_ITEMS, total: noteList.length }
|
|
}
|
|
}
|
|
|
|
if (noteListFilter && (noteListFilter.type || noteListFilter.query)) {
|
|
snapshot.noteListFilter = noteListFilter
|
|
}
|
|
|
|
const types = new Set<string>()
|
|
for (const e of entries) {
|
|
if (e.isA) types.add(e.isA)
|
|
}
|
|
snapshot.vault = {
|
|
types: [...types].sort(),
|
|
totalNotes: entries.length,
|
|
}
|
|
|
|
if (references && references.length > 0) {
|
|
snapshot.referencedNotes = references.map(ref => ({
|
|
path: ref.path,
|
|
title: ref.title,
|
|
type: ref.type ?? 'Note',
|
|
}))
|
|
}
|
|
|
|
const preamble = [
|
|
'You are an AI assistant integrated into Laputa, a personal knowledge management app.',
|
|
'The user is viewing a specific note. Use the structured context below to answer questions accurately.',
|
|
'You can also use MCP tools to search, read, create, or edit notes in the vault.',
|
|
'If the body field is empty but wordCount is > 0, the content may be stale — use get_note to read the full note from disk.',
|
|
'When you mention or reference a note by name, always use [[Note Title]] wikilink syntax so the user can click to open it.',
|
|
].join('\n')
|
|
|
|
return `${preamble}\n\n## Context Snapshot\n\`\`\`json\n${JSON.stringify(snapshot, null, 2)}\n\`\`\``
|
|
}
|
|
|
|
/** Legacy: Build a contextual system prompt (text-based). */
|
|
export function buildContextualPrompt(
|
|
active: VaultEntry,
|
|
linkedEntries: VaultEntry[],
|
|
): string {
|
|
const parts: string[] = [
|
|
'You are an AI assistant integrated into Laputa, a personal knowledge management app.',
|
|
'The user is viewing a specific note. Use the note and its linked context to answer questions accurately.',
|
|
'You can also use MCP tools to search, read, create, or edit notes in the vault.',
|
|
'',
|
|
`## Active Note: ${active.title}`,
|
|
`Type: ${active.isA ?? 'Note'} | Path: ${active.path}`,
|
|
]
|
|
|
|
if (linkedEntries.length > 0) {
|
|
parts.push('', '## Linked Notes')
|
|
for (const entry of linkedEntries) {
|
|
parts.push(
|
|
'',
|
|
`### ${entry.title} (${entry.isA ?? 'Note'})`,
|
|
)
|
|
}
|
|
}
|
|
|
|
return parts.join('\n')
|
|
}
|