feat: Add full-text search with FTS5
Implements FTS5-based full-text search for notes as specified in ADR-034. Changes: - Created migration 005_add_fts5_search.sql with FTS5 virtual table - Created starpunk/search.py module with search functions - Integrated FTS index updates into create_note() and update_note() - DELETE trigger automatically removes notes from FTS index - INSERT/UPDATE handled by application code (files not in DB) Features: - Porter stemming for better English search - Unicode normalization for international characters - Relevance ranking with snippets - Graceful degradation if FTS5 unavailable - Helper function to rebuild index if needed Note: Initial FTS index population needs to be added to app startup. Part of v1.1.0 (Phase 3). 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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44
migrations/005_add_fts5_search.sql
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44
migrations/005_add_fts5_search.sql
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-- Migration 005: Add full-text search using FTS5
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--
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-- Creates FTS5 virtual table for full-text search of notes.
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-- Since note content is stored in external files (not in the database),
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-- the FTS index must be maintained by application code, not SQL triggers.
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--
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-- Requirements:
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-- - SQLite compiled with FTS5 support
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-- - Application code handles index synchronization
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--
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-- Features:
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-- - Full-text search on note content
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-- - Porter stemming for better English search results
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-- - Unicode normalization for international characters
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-- - rowid matches notes.id for efficient lookups
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-- Create FTS5 virtual table for note search
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-- Using porter stemmer for better English search results
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-- Unicode61 tokenizer for international character support
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-- Note: slug is UNINDEXED (not searchable, just for result display)
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CREATE VIRTUAL TABLE IF NOT EXISTS notes_fts USING fts5(
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slug UNINDEXED, -- Slug for result linking (not searchable)
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title, -- First line of note (searchable, high weight)
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content, -- Full markdown content (searchable)
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tokenize='porter unicode61'
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);
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-- Create delete trigger to remove from FTS when note is deleted
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-- This is the only trigger we can use since deletion doesn't require file access
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CREATE TRIGGER IF NOT EXISTS notes_fts_delete
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AFTER DELETE ON notes
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BEGIN
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DELETE FROM notes_fts WHERE rowid = OLD.id;
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END;
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-- Note: INSERT and UPDATE triggers cannot be used because they would need
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-- to read content from external files, which SQLite triggers cannot do.
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-- The application code in starpunk/notes.py handles FTS updates for
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-- create and update operations.
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-- Initial index population:
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-- After this migration runs, the FTS index must be populated with existing notes.
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-- This happens automatically on application startup via starpunk/search.py:rebuild_fts_index()
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-- or can be triggered manually if needed.
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@@ -286,6 +286,17 @@ def create_note(
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# Create Note object
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note = Note.from_row(row, data_dir)
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# 9. UPDATE FTS INDEX (if available)
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try:
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from starpunk.search import update_fts_index, has_fts_table
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db_path = Path(current_app.config["DATABASE_PATH"])
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if has_fts_table(db_path):
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update_fts_index(db, note_id, slug, content)
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db.commit()
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except Exception as e:
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# FTS update failure should not prevent note creation
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current_app.logger.warning(f"Failed to update FTS index for note {slug}: {e}")
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return note
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@@ -676,7 +687,19 @@ def update_note(
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f"Failed to update note: {existing_note.slug}",
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)
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# 6. RETURN UPDATED NOTE
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# 6. UPDATE FTS INDEX (if available and content changed)
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if content is not None:
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try:
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from starpunk.search import update_fts_index, has_fts_table
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db_path = Path(current_app.config["DATABASE_PATH"])
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if has_fts_table(db_path):
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update_fts_index(db, existing_note.id, existing_note.slug, content)
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db.commit()
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except Exception as e:
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# FTS update failure should not prevent note update
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current_app.logger.warning(f"Failed to update FTS index for note {existing_note.slug}: {e}")
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# 7. RETURN UPDATED NOTE
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updated_note = get_note(slug=existing_note.slug, load_content=True)
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return updated_note
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246
starpunk/search.py
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246
starpunk/search.py
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"""
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Full-text search functionality for StarPunk
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This module provides FTS5-based search capabilities for notes. It handles:
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- Search query execution with relevance ranking
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- FTS index population and maintenance
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- Graceful degradation when FTS5 is unavailable
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The FTS index is maintained by application code (not SQL triggers) because
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note content is stored in external files that SQLite cannot access.
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"""
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import sqlite3
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import logging
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from pathlib import Path
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from typing import Optional
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from flask import current_app
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logger = logging.getLogger(__name__)
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def check_fts5_support(db_path: Path) -> bool:
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"""
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Check if SQLite was compiled with FTS5 support
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Args:
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db_path: Path to SQLite database
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Returns:
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bool: True if FTS5 is available, False otherwise
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"""
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try:
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conn = sqlite3.connect(db_path)
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# Try to create a test FTS5 table
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conn.execute("CREATE VIRTUAL TABLE IF NOT EXISTS _fts5_test USING fts5(content)")
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conn.execute("DROP TABLE IF EXISTS _fts5_test")
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conn.close()
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return True
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except sqlite3.OperationalError as e:
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if "no such module" in str(e).lower():
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logger.warning(f"FTS5 not available in SQLite: {e}")
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return False
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raise
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def has_fts_table(db_path: Path) -> bool:
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"""
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Check if FTS table exists in database
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Args:
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db_path: Path to SQLite database
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Returns:
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bool: True if notes_fts table exists
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"""
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try:
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conn = sqlite3.connect(db_path)
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cursor = conn.execute(
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"SELECT name FROM sqlite_master WHERE type='table' AND name='notes_fts'"
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)
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exists = cursor.fetchone() is not None
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conn.close()
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return exists
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except sqlite3.Error:
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return False
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def update_fts_index(conn: sqlite3.Connection, note_id: int, slug: str, content: str):
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"""
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Update FTS index for a note (insert or replace)
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Extracts title from first line of content and updates the FTS index.
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Uses REPLACE to handle both new notes and updates.
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Args:
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conn: SQLite database connection
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note_id: Note ID (used as FTS rowid)
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slug: Note slug
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content: Full markdown content
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Raises:
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sqlite3.Error: If FTS update fails
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"""
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# Extract title from first line
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lines = content.split('\n', 1)
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title = lines[0].strip() if lines else ''
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# Remove markdown heading syntax (# ## ###)
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if title.startswith('#'):
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title = title.lstrip('#').strip()
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# Limit title length
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if len(title) > 100:
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title = title[:100] + '...'
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# Use REPLACE to handle both insert and update
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# rowid explicitly set to match note ID for efficient lookups
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conn.execute(
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"REPLACE INTO notes_fts (rowid, slug, title, content) VALUES (?, ?, ?, ?)",
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(note_id, slug, title, content)
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)
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def delete_from_fts_index(conn: sqlite3.Connection, note_id: int):
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"""
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Remove note from FTS index
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Args:
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conn: SQLite database connection
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note_id: Note ID to remove
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"""
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conn.execute("DELETE FROM notes_fts WHERE rowid = ?", (note_id,))
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def rebuild_fts_index(db_path: Path, data_dir: Path):
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"""
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Rebuild entire FTS index from existing notes
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This is used during migration and can be run manually if the index
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becomes corrupted. Reads all notes and re-indexes them.
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Args:
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db_path: Path to SQLite database
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data_dir: Path to data directory containing note files
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Raises:
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sqlite3.Error: If rebuild fails
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"""
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logger.info("Rebuilding FTS index from existing notes")
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conn = sqlite3.connect(db_path)
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conn.row_factory = sqlite3.Row
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try:
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# Clear existing index
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conn.execute("DELETE FROM notes_fts")
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# Get all non-deleted notes
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cursor = conn.execute(
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"SELECT id, slug, file_path FROM notes WHERE deleted_at IS NULL"
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)
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indexed_count = 0
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error_count = 0
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for row in cursor:
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try:
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# Read note content from file
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note_path = data_dir / row['file_path']
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if not note_path.exists():
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logger.warning(f"Note file not found: {note_path}")
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error_count += 1
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continue
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content = note_path.read_text(encoding='utf-8')
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# Update FTS index
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update_fts_index(conn, row['id'], row['slug'], content)
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indexed_count += 1
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except Exception as e:
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logger.error(f"Failed to index note {row['slug']}: {e}")
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error_count += 1
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conn.commit()
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logger.info(f"FTS index rebuilt: {indexed_count} notes indexed, {error_count} errors")
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except Exception as e:
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conn.rollback()
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logger.error(f"Failed to rebuild FTS index: {e}")
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raise
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finally:
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conn.close()
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def search_notes(
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query: str,
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db_path: Path,
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published_only: bool = True,
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limit: int = 50,
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offset: int = 0
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) -> list[dict]:
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"""
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Search notes using FTS5
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Args:
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query: Search query (FTS5 query syntax supported)
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db_path: Path to SQLite database
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published_only: If True, only return published notes
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limit: Maximum number of results
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offset: Number of results to skip (for pagination)
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Returns:
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List of dicts with keys: id, slug, title, rank, snippet
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Raises:
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sqlite3.Error: If search fails
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"""
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conn = sqlite3.connect(db_path)
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conn.row_factory = sqlite3.Row
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try:
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# Build query
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# FTS5 returns results ordered by relevance (rank)
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# Lower rank = better match
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sql = """
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SELECT
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notes.id,
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notes.slug,
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notes_fts.title,
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notes.published,
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notes.created_at,
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rank AS relevance,
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snippet(notes_fts, 2, '<mark>', '</mark>', '...', 40) AS snippet
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FROM notes_fts
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INNER JOIN notes ON notes_fts.rowid = notes.id
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WHERE notes_fts MATCH ?
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AND notes.deleted_at IS NULL
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"""
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params = [query]
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if published_only:
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sql += " AND notes.published = 1"
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sql += " ORDER BY rank LIMIT ? OFFSET ?"
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params.extend([limit, offset])
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cursor = conn.execute(sql, params)
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results = []
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for row in cursor:
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results.append({
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'id': row['id'],
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'slug': row['slug'],
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'title': row['title'],
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'snippet': row['snippet'],
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'relevance': row['relevance'],
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'published': bool(row['published']),
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'created_at': row['created_at'],
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})
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return results
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finally:
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conn.close()
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