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BadNote/lib/services/vault_search_index.dart

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// lib/services/vault_search_index.dart
//
// Phase 6 of the file-based storage plan (docs/plans/2026-06-24-file-based-
// storage.md §B/§F): the search index, rebuilt by SCANNING the vault sidecars
// (the source of truth) rather than the demoted SQLite cache.
//
// What it indexes, per notebook/note folder, from its `*.badnote.json` sidecar:
// * the title (standalone notebooks) / source filename (file-backed docs),
// * every typed text box — EditorStroke(tool: text).textContent across all
// pages,
// * the handwriting OCR text persisted in the sidecar's `ocrText` field.
//
// It does NOT (yet) index a PDF's embedded text layer — that is a known gap (see
// the REPORT in the task / the class doc below). Matching uses the existing pure
// search primitives (normalize / rank / snippet), so CJK substring search works.
import 'dart:io';
import '../editor/search/search_ranking.dart';
import '../editor/search/search_snippet.dart';
import '../storage/badnote_sidecar.dart';
import '../storage/sidecar_store.dart';
import 'vault_service.dart';
/// One indexed notebook: where it lives and the text harvested from its sidecar.
class VaultSearchEntry {
const VaultSearchEntry({
required this.id,
required this.title,
required this.openPath,
required this.docType,
required this.text,
required this.isNote,
});
/// Stable id (the notebook folder path).
final String id;
/// Display title (note title / source filename).
final String title;
/// Path to pass to the editor: the in-vault source file for docs, or the
/// synthetic `<folder>/notebook` note path for standalone notebooks.
final String openPath;
/// `pdf` / `pptx` / `ppt` / `docx` / `notebook`.
final String docType;
/// All searchable text harvested from the sidecar (title + typed text + OCR),
/// joined for substring matching.
final String text;
/// True for standalone (free-ink) notebooks, false for file-backed documents.
final bool isNote;
}
/// A search hit over the vault: the entry plus a display snippet of the match.
class VaultSearchHit {
const VaultSearchHit({required this.entry, required this.snippet});
final VaultSearchEntry entry;
final Snippet snippet;
}
/// Builds and queries a scan-based full-text index over the vault sidecars.
///
/// The index is the list of [VaultSearchEntry]s built by [rebuild]; query is a
/// pure substring/rank over their harvested text (CJK-safe). Cheap enough to
/// rebuild lazily on demand for a single-user vault; there is no background
/// thread and no persisted index file (the SQLite cache is no longer the search
/// source of truth).
///
/// HONEST SCOPE (what search covers / does NOT):
/// * COVERS: note/doc titles, typed text boxes, and handwriting OCR text that
/// has been persisted into a sidecar's `ocrText` field.
/// * DOES NOT cover: a PDF's embedded (printed) text layer — only the user's
/// annotations are indexed, not the underlying document body. Indexing the
/// PDF text layer would require rendering each page through pdfrx at scan
/// time; deferred. OCR is only present where it has already been run and
/// written back to the sidecar.
class VaultSearchIndex {
VaultSearchIndex(this._vault);
final VaultService _vault;
List<VaultSearchEntry> _entries = const [];
bool _built = false;
/// The entries from the most recent [rebuild] (for tests / inspection).
List<VaultSearchEntry> get entries => List.unmodifiable(_entries);
/// Scan the vault and (re)build the in-memory index. Safe on an empty/missing
/// vault (yields an empty index). Never throws on a single unreadable sidecar.
Future<void> rebuild() async {
final entries = <VaultSearchEntry>[];
final notebooks = await _vault.scanNotebooks();
for (final nb in notebooks) {
final sidecar = await SidecarStore.read(
File('${nb.sourceFilePath}$kVaultSidecarSuffix'),
);
entries.add(
VaultSearchEntry(
id: nb.folderPath,
title: nb.filename,
openPath: nb.sourceFilePath,
docType: nb.docType,
text: _harvest(title: nb.filename, sidecar: sidecar),
isNote: false,
),
);
}
final notes = await _vault.scanNotes();
for (final note in notes) {
final sidecar = await SidecarStore.read(
File('${note.notePath}$kVaultSidecarSuffix'),
);
entries.add(
VaultSearchEntry(
id: note.folderPath,
title: note.title,
openPath: note.notePath,
docType: 'notebook',
text: _harvest(title: note.title, sidecar: sidecar),
isNote: true,
),
);
}
_entries = entries;
_built = true;
}
/// Search the index for [query], rebuilding it first if it has never been
/// built. Returns the best-matching notebooks/notes, most-relevant first. An
/// empty/whitespace query yields no hits.
Future<List<VaultSearchHit>> search(String query) async {
if (query.trim().isEmpty) return const [];
if (!_built) await rebuild();
final sources = <String, String>{
for (final e in _entries) e.id: e.text,
};
final ranked = rankHits(sources, query);
final byId = {for (final e in _entries) e.id: e};
final hits = <VaultSearchHit>[];
for (final hit in ranked) {
final entry = byId[hit.ref];
if (entry == null) continue;
hits.add(VaultSearchHit(entry: entry, snippet: hit.snippet));
}
return hits;
}
/// Concatenate every searchable string from one sidecar: the [title], every
/// typed text box across all pages, and the persisted handwriting OCR text.
static String _harvest({
required String title,
required BadnoteSidecar? sidecar,
}) {
final parts = <String>[title];
if (sidecar != null) {
// Typed text boxes: a stroke carries `textContent` regardless of tool
// (EditorTool has only pen/highlighter/eraser; text is a content flag).
for (final pageStrokes in sidecar.strokes.values) {
for (final stroke in pageStrokes) {
final text = stroke.textContent;
if (text != null && text.trim().isNotEmpty) {
parts.add(text.trim());
}
}
}
final ocr = sidecar.ocrText;
if (ocr != null && ocr.trim().isNotEmpty) parts.add(ocr.trim());
}
return parts.join('\n');
}
}