mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-21 21:22:11 -03:00
feat(search): add SQLite FTS5 full-text search index for recipes
Introduce a new RecipeFTSIndex class that provides fast prefix-based search across recipe fields (title, tags, LoRA names/models, prompts) using SQLite's FTS5 extension. The implementation supports sub-100ms search times for large datasets (20k+ recipes) and includes asynchronous indexing, incremental updates, and comprehensive unit tests.
This commit is contained in:
547
py/services/recipe_fts_index.py
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547
py/services/recipe_fts_index.py
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"""SQLite FTS5-based full-text search index for recipes.
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This module provides fast recipe search using SQLite's FTS5 extension,
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enabling sub-100ms search times even with 20k+ recipes.
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"""
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from __future__ import annotations
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import asyncio
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import logging
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import os
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import re
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import sqlite3
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import threading
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import time
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from typing import Any, Dict, List, Optional, Set
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from ..utils.settings_paths import get_settings_dir
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logger = logging.getLogger(__name__)
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class RecipeFTSIndex:
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"""SQLite FTS5-based full-text search index for recipes.
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Provides fast prefix-based search across multiple recipe fields:
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- title
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- tags
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- lora_names (file names)
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- lora_models (model names)
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- prompt
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- negative_prompt
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"""
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_DEFAULT_FILENAME = "recipe_fts.sqlite"
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# Map of search option keys to FTS column names
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FIELD_MAP = {
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'title': ['title'],
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'tags': ['tags'],
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'lora_name': ['lora_names'],
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'lora_model': ['lora_models'],
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'prompt': ['prompt', 'negative_prompt'],
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}
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def __init__(self, db_path: Optional[str] = None) -> None:
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"""Initialize the FTS index.
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Args:
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db_path: Optional path to the SQLite database file.
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If not provided, uses the default location in settings directory.
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"""
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self._db_path = db_path or self._resolve_default_path()
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self._lock = threading.Lock()
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self._ready = threading.Event()
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self._indexing_in_progress = False
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self._schema_initialized = False
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self._warned_not_ready = False
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# Ensure directory exists
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try:
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directory = os.path.dirname(self._db_path)
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if directory:
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os.makedirs(directory, exist_ok=True)
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except Exception as exc:
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logger.warning("Could not create FTS index directory %s: %s", directory, exc)
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def _resolve_default_path(self) -> str:
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"""Resolve the default database path."""
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override = os.environ.get("LORA_MANAGER_RECIPE_FTS_DB")
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if override:
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return override
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try:
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settings_dir = get_settings_dir(create=True)
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except Exception as exc:
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logger.warning("Falling back to current directory for FTS index: %s", exc)
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settings_dir = "."
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return os.path.join(settings_dir, self._DEFAULT_FILENAME)
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def get_database_path(self) -> str:
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"""Return the resolved database path."""
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return self._db_path
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def is_ready(self) -> bool:
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"""Check if the FTS index is ready for queries."""
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return self._ready.is_set()
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def is_indexing(self) -> bool:
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"""Check if indexing is currently in progress."""
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return self._indexing_in_progress
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def initialize(self) -> None:
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"""Initialize the database schema."""
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if self._schema_initialized:
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return
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with self._lock:
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if self._schema_initialized:
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return
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try:
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conn = self._connect()
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try:
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conn.execute("PRAGMA journal_mode=WAL")
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conn.executescript("""
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-- FTS5 virtual table for full-text search
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-- Note: We use a regular FTS5 table (not contentless) so we can retrieve recipe_id
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CREATE VIRTUAL TABLE IF NOT EXISTS recipe_fts USING fts5(
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recipe_id,
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title,
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tags,
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lora_names,
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lora_models,
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prompt,
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negative_prompt,
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tokenize='unicode61 remove_diacritics 2'
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);
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-- Recipe ID to rowid mapping for fast lookups and deletions
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CREATE TABLE IF NOT EXISTS recipe_rowid (
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recipe_id TEXT PRIMARY KEY,
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fts_rowid INTEGER UNIQUE
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);
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-- Index version tracking
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CREATE TABLE IF NOT EXISTS fts_metadata (
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key TEXT PRIMARY KEY,
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value TEXT
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);
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""")
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conn.commit()
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self._schema_initialized = True
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logger.debug("FTS index schema initialized at %s", self._db_path)
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finally:
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conn.close()
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except Exception as exc:
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logger.error("Failed to initialize FTS schema: %s", exc)
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def build_index(self, recipes: List[Dict[str, Any]]) -> None:
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"""Build or rebuild the entire FTS index from recipe data.
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Args:
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recipes: List of recipe dictionaries to index.
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"""
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if self._indexing_in_progress:
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logger.warning("FTS indexing already in progress, skipping")
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return
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self._indexing_in_progress = True
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self._ready.clear()
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start_time = time.time()
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try:
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self.initialize()
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if not self._schema_initialized:
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logger.error("Cannot build FTS index: schema not initialized")
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return
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with self._lock:
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conn = self._connect()
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try:
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conn.execute("BEGIN")
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# Clear existing data
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conn.execute("DELETE FROM recipe_fts")
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conn.execute("DELETE FROM recipe_rowid")
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# Batch insert for performance
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batch_size = 500
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total = len(recipes)
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inserted = 0
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for i in range(0, total, batch_size):
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batch = recipes[i:i + batch_size]
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rows = []
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rowid_mappings = []
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for recipe in batch:
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recipe_id = str(recipe.get('id', ''))
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if not recipe_id:
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continue
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row = self._prepare_fts_row(recipe)
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rows.append(row)
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inserted += 1
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if rows:
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# Insert into FTS table
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conn.executemany(
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"""INSERT INTO recipe_fts (recipe_id, title, tags, lora_names,
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lora_models, prompt, negative_prompt)
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VALUES (?, ?, ?, ?, ?, ?, ?)""",
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rows
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)
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# Build rowid mappings
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for row in rows:
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recipe_id = row[0]
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cursor = conn.execute(
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"SELECT rowid FROM recipe_fts WHERE recipe_id = ?",
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(recipe_id,)
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)
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result = cursor.fetchone()
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if result:
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rowid_mappings.append((recipe_id, result[0]))
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if rowid_mappings:
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conn.executemany(
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"INSERT OR REPLACE INTO recipe_rowid (recipe_id, fts_rowid) VALUES (?, ?)",
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rowid_mappings
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)
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# Update metadata
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conn.execute(
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"INSERT OR REPLACE INTO fts_metadata (key, value) VALUES (?, ?)",
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('last_build_time', str(time.time()))
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)
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conn.execute(
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"INSERT OR REPLACE INTO fts_metadata (key, value) VALUES (?, ?)",
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('recipe_count', str(inserted))
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)
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conn.commit()
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elapsed = time.time() - start_time
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logger.info("FTS index built: %d recipes indexed in %.2fs", inserted, elapsed)
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finally:
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conn.close()
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self._ready.set()
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except Exception as exc:
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logger.error("Failed to build FTS index: %s", exc, exc_info=True)
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finally:
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self._indexing_in_progress = False
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def search(self, query: str, fields: Optional[Set[str]] = None) -> Set[str]:
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"""Search recipes using FTS5 with prefix matching.
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Args:
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query: The search query string.
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fields: Optional set of field names to search. If None, searches all fields.
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Valid fields: 'title', 'tags', 'lora_name', 'lora_model', 'prompt'
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Returns:
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Set of matching recipe IDs.
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"""
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if not self.is_ready():
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if not self._warned_not_ready:
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logger.debug("FTS index not ready, returning empty results")
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self._warned_not_ready = True
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return set()
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if not query or not query.strip():
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return set()
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fts_query = self._build_fts_query(query, fields)
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if not fts_query:
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return set()
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try:
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with self._lock:
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conn = self._connect(readonly=True)
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try:
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cursor = conn.execute(
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"SELECT recipe_id FROM recipe_fts WHERE recipe_fts MATCH ?",
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(fts_query,)
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)
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return {row[0] for row in cursor.fetchall()}
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finally:
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conn.close()
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except Exception as exc:
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logger.debug("FTS search error for query '%s': %s", query, exc)
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return set()
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def add_recipe(self, recipe: Dict[str, Any]) -> bool:
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"""Add a single recipe to the FTS index.
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Args:
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recipe: The recipe dictionary to add.
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Returns:
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True if successful, False otherwise.
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"""
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if not self.is_ready():
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return False
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recipe_id = str(recipe.get('id', ''))
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if not recipe_id:
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return False
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try:
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with self._lock:
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conn = self._connect()
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try:
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# Remove existing entry if present
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self._remove_recipe_locked(conn, recipe_id)
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# Insert new entry
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row = self._prepare_fts_row(recipe)
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conn.execute(
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"""INSERT INTO recipe_fts (recipe_id, title, tags, lora_names,
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lora_models, prompt, negative_prompt)
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VALUES (?, ?, ?, ?, ?, ?, ?)""",
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row
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)
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# Update rowid mapping
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cursor = conn.execute(
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"SELECT rowid FROM recipe_fts WHERE recipe_id = ?",
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(recipe_id,)
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)
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result = cursor.fetchone()
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if result:
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conn.execute(
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"INSERT OR REPLACE INTO recipe_rowid (recipe_id, fts_rowid) VALUES (?, ?)",
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(recipe_id, result[0])
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)
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conn.commit()
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return True
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finally:
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conn.close()
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except Exception as exc:
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logger.debug("Failed to add recipe %s to FTS index: %s", recipe_id, exc)
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return False
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def remove_recipe(self, recipe_id: str) -> bool:
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"""Remove a recipe from the FTS index.
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Args:
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recipe_id: The ID of the recipe to remove.
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Returns:
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True if successful, False otherwise.
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"""
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if not self.is_ready():
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return False
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if not recipe_id:
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return False
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try:
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with self._lock:
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conn = self._connect()
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try:
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self._remove_recipe_locked(conn, recipe_id)
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conn.commit()
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return True
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finally:
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conn.close()
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except Exception as exc:
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logger.debug("Failed to remove recipe %s from FTS index: %s", recipe_id, exc)
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return False
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def update_recipe(self, recipe: Dict[str, Any]) -> bool:
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"""Update a recipe in the FTS index.
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Args:
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recipe: The updated recipe dictionary.
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|
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Returns:
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True if successful, False otherwise.
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"""
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return self.add_recipe(recipe) # add_recipe handles removal and re-insertion
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def clear(self) -> bool:
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"""Clear all data from the FTS index.
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|
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Returns:
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True if successful, False otherwise.
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|
"""
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try:
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with self._lock:
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conn = self._connect()
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try:
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conn.execute("DELETE FROM recipe_fts")
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conn.execute("DELETE FROM recipe_rowid")
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conn.commit()
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self._ready.clear()
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return True
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finally:
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conn.close()
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except Exception as exc:
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logger.error("Failed to clear FTS index: %s", exc)
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return False
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def get_indexed_count(self) -> int:
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|
"""Return the number of recipes currently indexed."""
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if not self._schema_initialized:
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return 0
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|
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try:
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with self._lock:
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conn = self._connect(readonly=True)
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|
try:
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cursor = conn.execute("SELECT COUNT(*) FROM recipe_fts")
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result = cursor.fetchone()
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return result[0] if result else 0
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finally:
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conn.close()
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except Exception:
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return 0
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|
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# Internal helpers
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|
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def _connect(self, readonly: bool = False) -> sqlite3.Connection:
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|
"""Create a database connection."""
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|
uri = False
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|
path = self._db_path
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|
if readonly:
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|
if not os.path.exists(path):
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|
raise FileNotFoundError(path)
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path = f"file:{path}?mode=ro"
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uri = True
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conn = sqlite3.connect(path, check_same_thread=False, uri=uri)
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conn.row_factory = sqlite3.Row
|
||||||
|
return conn
|
||||||
|
|
||||||
|
def _remove_recipe_locked(self, conn: sqlite3.Connection, recipe_id: str) -> None:
|
||||||
|
"""Remove a recipe entry. Caller must hold the lock."""
|
||||||
|
# Get the rowid for deletion
|
||||||
|
cursor = conn.execute(
|
||||||
|
"SELECT fts_rowid FROM recipe_rowid WHERE recipe_id = ?",
|
||||||
|
(recipe_id,)
|
||||||
|
)
|
||||||
|
result = cursor.fetchone()
|
||||||
|
if result:
|
||||||
|
fts_rowid = result[0]
|
||||||
|
# Delete from FTS using rowid
|
||||||
|
conn.execute(
|
||||||
|
"DELETE FROM recipe_fts WHERE rowid = ?",
|
||||||
|
(fts_rowid,)
|
||||||
|
)
|
||||||
|
# Also try direct delete by recipe_id (handles edge cases)
|
||||||
|
conn.execute(
|
||||||
|
"DELETE FROM recipe_fts WHERE recipe_id = ?",
|
||||||
|
(recipe_id,)
|
||||||
|
)
|
||||||
|
conn.execute(
|
||||||
|
"DELETE FROM recipe_rowid WHERE recipe_id = ?",
|
||||||
|
(recipe_id,)
|
||||||
|
)
|
||||||
|
|
||||||
|
def _prepare_fts_row(self, recipe: Dict[str, Any]) -> tuple:
|
||||||
|
"""Prepare a row tuple for FTS insertion."""
|
||||||
|
recipe_id = str(recipe.get('id', ''))
|
||||||
|
title = str(recipe.get('title', ''))
|
||||||
|
|
||||||
|
# Extract tags as space-separated string
|
||||||
|
tags_list = recipe.get('tags', [])
|
||||||
|
tags = ' '.join(str(t) for t in tags_list if t) if tags_list else ''
|
||||||
|
|
||||||
|
# Extract LoRA file names and model names
|
||||||
|
loras = recipe.get('loras', [])
|
||||||
|
lora_names = []
|
||||||
|
lora_models = []
|
||||||
|
for lora in loras:
|
||||||
|
if isinstance(lora, dict):
|
||||||
|
file_name = lora.get('file_name', '')
|
||||||
|
if file_name:
|
||||||
|
lora_names.append(str(file_name))
|
||||||
|
model_name = lora.get('modelName', '')
|
||||||
|
if model_name:
|
||||||
|
lora_models.append(str(model_name))
|
||||||
|
|
||||||
|
lora_names_str = ' '.join(lora_names)
|
||||||
|
lora_models_str = ' '.join(lora_models)
|
||||||
|
|
||||||
|
# Extract prompts from gen_params
|
||||||
|
gen_params = recipe.get('gen_params', {})
|
||||||
|
prompt = str(gen_params.get('prompt', '')) if gen_params else ''
|
||||||
|
negative_prompt = str(gen_params.get('negative_prompt', '')) if gen_params else ''
|
||||||
|
|
||||||
|
return (recipe_id, title, tags, lora_names_str, lora_models_str, prompt, negative_prompt)
|
||||||
|
|
||||||
|
def _build_fts_query(self, query: str, fields: Optional[Set[str]] = None) -> str:
|
||||||
|
"""Build an FTS5 query string with prefix matching and field restrictions.
|
||||||
|
|
||||||
|
Args:
|
||||||
|
query: The user's search query.
|
||||||
|
fields: Optional set of field names to restrict search to.
|
||||||
|
|
||||||
|
Returns:
|
||||||
|
FTS5 query string.
|
||||||
|
"""
|
||||||
|
# Split query into words and clean them
|
||||||
|
words = query.lower().split()
|
||||||
|
if not words:
|
||||||
|
return ''
|
||||||
|
|
||||||
|
# Escape and add prefix wildcard to each word
|
||||||
|
prefix_terms = []
|
||||||
|
for word in words:
|
||||||
|
escaped = self._escape_fts_query(word)
|
||||||
|
if escaped:
|
||||||
|
# Add prefix wildcard for substring-like matching
|
||||||
|
# FTS5 prefix queries: word* matches words starting with "word"
|
||||||
|
prefix_terms.append(f'{escaped}*')
|
||||||
|
|
||||||
|
if not prefix_terms:
|
||||||
|
return ''
|
||||||
|
|
||||||
|
# Combine terms with implicit AND (all words must match)
|
||||||
|
term_expr = ' '.join(prefix_terms)
|
||||||
|
|
||||||
|
# If no field restriction, search all indexed fields (not recipe_id)
|
||||||
|
if not fields:
|
||||||
|
return term_expr
|
||||||
|
|
||||||
|
# Build field-restricted query with OR between fields
|
||||||
|
field_clauses = []
|
||||||
|
for field in fields:
|
||||||
|
if field in self.FIELD_MAP:
|
||||||
|
cols = self.FIELD_MAP[field]
|
||||||
|
for col in cols:
|
||||||
|
# FTS5 column filter syntax: column:term
|
||||||
|
# Need to handle multiple terms properly
|
||||||
|
for term in prefix_terms:
|
||||||
|
field_clauses.append(f'{col}:{term}')
|
||||||
|
|
||||||
|
if not field_clauses:
|
||||||
|
return term_expr
|
||||||
|
|
||||||
|
# Combine field clauses with OR
|
||||||
|
return ' OR '.join(field_clauses)
|
||||||
|
|
||||||
|
def _escape_fts_query(self, text: str) -> str:
|
||||||
|
"""Escape special FTS5 characters.
|
||||||
|
|
||||||
|
FTS5 special characters: " ( ) * : ^ -
|
||||||
|
We keep * for prefix matching but escape others.
|
||||||
|
"""
|
||||||
|
if not text:
|
||||||
|
return ''
|
||||||
|
|
||||||
|
# Replace FTS5 special characters with space
|
||||||
|
# Keep alphanumeric, CJK characters, and common punctuation
|
||||||
|
special = ['"', '(', ')', '*', ':', '^', '-', '{', '}', '[', ']']
|
||||||
|
result = text
|
||||||
|
for char in special:
|
||||||
|
result = result.replace(char, ' ')
|
||||||
|
|
||||||
|
# Collapse multiple spaces and strip
|
||||||
|
result = re.sub(r'\s+', ' ', result).strip()
|
||||||
|
return result
|
||||||
@@ -5,9 +5,10 @@ import json
|
|||||||
import logging
|
import logging
|
||||||
import os
|
import os
|
||||||
import time
|
import time
|
||||||
from typing import Any, Dict, Iterable, List, Optional, Set, Tuple
|
from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Tuple
|
||||||
from ..config import config
|
from ..config import config
|
||||||
from .recipe_cache import RecipeCache
|
from .recipe_cache import RecipeCache
|
||||||
|
from .recipe_fts_index import RecipeFTSIndex
|
||||||
from .service_registry import ServiceRegistry
|
from .service_registry import ServiceRegistry
|
||||||
from .lora_scanner import LoraScanner
|
from .lora_scanner import LoraScanner
|
||||||
from .metadata_service import get_default_metadata_provider
|
from .metadata_service import get_default_metadata_provider
|
||||||
@@ -74,6 +75,9 @@ class RecipeScanner:
|
|||||||
self._post_scan_task: Optional[asyncio.Task] = None
|
self._post_scan_task: Optional[asyncio.Task] = None
|
||||||
self._resort_tasks: Set[asyncio.Task] = set()
|
self._resort_tasks: Set[asyncio.Task] = set()
|
||||||
self._cancel_requested = False
|
self._cancel_requested = False
|
||||||
|
# FTS index for fast search
|
||||||
|
self._fts_index: Optional[RecipeFTSIndex] = None
|
||||||
|
self._fts_index_task: Optional[asyncio.Task] = None
|
||||||
if lora_scanner:
|
if lora_scanner:
|
||||||
self._lora_scanner = lora_scanner
|
self._lora_scanner = lora_scanner
|
||||||
if checkpoint_scanner:
|
if checkpoint_scanner:
|
||||||
@@ -97,6 +101,14 @@ class RecipeScanner:
|
|||||||
self._post_scan_task.cancel()
|
self._post_scan_task.cancel()
|
||||||
self._post_scan_task = None
|
self._post_scan_task = None
|
||||||
|
|
||||||
|
# Cancel FTS index task and clear index
|
||||||
|
if self._fts_index_task and not self._fts_index_task.done():
|
||||||
|
self._fts_index_task.cancel()
|
||||||
|
self._fts_index_task = None
|
||||||
|
if self._fts_index:
|
||||||
|
self._fts_index.clear()
|
||||||
|
self._fts_index = None
|
||||||
|
|
||||||
self._cache = None
|
self._cache = None
|
||||||
self._initialization_task = None
|
self._initialization_task = None
|
||||||
self._is_initializing = False
|
self._is_initializing = False
|
||||||
@@ -387,6 +399,8 @@ class RecipeScanner:
|
|||||||
recipe_count = len(cache.raw_data) if cache and hasattr(cache, 'raw_data') else 0
|
recipe_count = len(cache.raw_data) if cache and hasattr(cache, 'raw_data') else 0
|
||||||
logger.info(f"Recipe cache initialized in {elapsed_time:.2f} seconds. Found {recipe_count} recipes")
|
logger.info(f"Recipe cache initialized in {elapsed_time:.2f} seconds. Found {recipe_count} recipes")
|
||||||
self._schedule_post_scan_enrichment()
|
self._schedule_post_scan_enrichment()
|
||||||
|
# Schedule FTS index build in background (non-blocking)
|
||||||
|
self._schedule_fts_index_build()
|
||||||
finally:
|
finally:
|
||||||
# Mark initialization as complete regardless of outcome
|
# Mark initialization as complete regardless of outcome
|
||||||
self._is_initializing = False
|
self._is_initializing = False
|
||||||
@@ -555,6 +569,93 @@ class RecipeScanner:
|
|||||||
|
|
||||||
self._post_scan_task = loop.create_task(_run_enrichment(), name="recipe_cache_enrichment")
|
self._post_scan_task = loop.create_task(_run_enrichment(), name="recipe_cache_enrichment")
|
||||||
|
|
||||||
|
def _schedule_fts_index_build(self) -> None:
|
||||||
|
"""Build FTS index in background without blocking."""
|
||||||
|
|
||||||
|
if self._fts_index_task and not self._fts_index_task.done():
|
||||||
|
return # Already running
|
||||||
|
|
||||||
|
try:
|
||||||
|
loop = asyncio.get_running_loop()
|
||||||
|
except RuntimeError:
|
||||||
|
return
|
||||||
|
|
||||||
|
async def _build_fts():
|
||||||
|
if self._cache is None:
|
||||||
|
return
|
||||||
|
|
||||||
|
try:
|
||||||
|
self._fts_index = RecipeFTSIndex()
|
||||||
|
|
||||||
|
# Run in thread pool (SQLite is blocking)
|
||||||
|
await loop.run_in_executor(
|
||||||
|
None,
|
||||||
|
self._fts_index.build_index,
|
||||||
|
self._cache.raw_data
|
||||||
|
)
|
||||||
|
except asyncio.CancelledError:
|
||||||
|
raise
|
||||||
|
except Exception as exc:
|
||||||
|
logger.error("Recipe Scanner: error building FTS index: %s", exc, exc_info=True)
|
||||||
|
|
||||||
|
self._fts_index_task = loop.create_task(_build_fts(), name="recipe_fts_index_build")
|
||||||
|
|
||||||
|
def _search_with_fts(self, search: str, search_options: Dict) -> Optional[Set[str]]:
|
||||||
|
"""Search recipes using FTS index if available.
|
||||||
|
|
||||||
|
Args:
|
||||||
|
search: The search query string.
|
||||||
|
search_options: Dictionary of search options (title, tags, lora_name, lora_model, prompt).
|
||||||
|
|
||||||
|
Returns:
|
||||||
|
Set of matching recipe IDs if FTS is available and search succeeded,
|
||||||
|
None if FTS is not ready (caller should fall back to fuzzy search).
|
||||||
|
"""
|
||||||
|
if not self._fts_index or not self._fts_index.is_ready():
|
||||||
|
return None
|
||||||
|
|
||||||
|
# Build the set of fields to search based on search_options
|
||||||
|
fields: Set[str] = set()
|
||||||
|
if search_options.get('title', True):
|
||||||
|
fields.add('title')
|
||||||
|
if search_options.get('tags', True):
|
||||||
|
fields.add('tags')
|
||||||
|
if search_options.get('lora_name', True):
|
||||||
|
fields.add('lora_name')
|
||||||
|
if search_options.get('lora_model', True):
|
||||||
|
fields.add('lora_model')
|
||||||
|
if search_options.get('prompt', False): # prompt search is opt-in by default
|
||||||
|
fields.add('prompt')
|
||||||
|
|
||||||
|
# If no fields enabled, search all fields
|
||||||
|
if not fields:
|
||||||
|
fields = None
|
||||||
|
|
||||||
|
try:
|
||||||
|
return self._fts_index.search(search, fields)
|
||||||
|
except Exception as exc:
|
||||||
|
logger.debug("FTS search failed, falling back to fuzzy search: %s", exc)
|
||||||
|
return None
|
||||||
|
|
||||||
|
def _update_fts_index_for_recipe(self, recipe: Dict[str, Any], operation: str = 'add') -> None:
|
||||||
|
"""Update FTS index for a single recipe (add, update, or remove).
|
||||||
|
|
||||||
|
Args:
|
||||||
|
recipe: The recipe dictionary.
|
||||||
|
operation: One of 'add', 'update', or 'remove'.
|
||||||
|
"""
|
||||||
|
if not self._fts_index or not self._fts_index.is_ready():
|
||||||
|
return
|
||||||
|
|
||||||
|
try:
|
||||||
|
if operation == 'remove':
|
||||||
|
recipe_id = str(recipe.get('id', '')) if isinstance(recipe, dict) else str(recipe)
|
||||||
|
self._fts_index.remove_recipe(recipe_id)
|
||||||
|
elif operation in ('add', 'update'):
|
||||||
|
self._fts_index.update_recipe(recipe)
|
||||||
|
except Exception as exc:
|
||||||
|
logger.debug("Failed to update FTS index for recipe: %s", exc)
|
||||||
|
|
||||||
async def _enrich_cache_metadata(self) -> None:
|
async def _enrich_cache_metadata(self) -> None:
|
||||||
"""Perform remote metadata enrichment after the initial scan."""
|
"""Perform remote metadata enrichment after the initial scan."""
|
||||||
|
|
||||||
@@ -766,6 +867,9 @@ class RecipeScanner:
|
|||||||
self._update_folder_metadata(cache)
|
self._update_folder_metadata(cache)
|
||||||
self._schedule_resort()
|
self._schedule_resort()
|
||||||
|
|
||||||
|
# Update FTS index
|
||||||
|
self._update_fts_index_for_recipe(recipe_data, 'add')
|
||||||
|
|
||||||
async def remove_recipe(self, recipe_id: str) -> bool:
|
async def remove_recipe(self, recipe_id: str) -> bool:
|
||||||
"""Remove a recipe from the cache by ID."""
|
"""Remove a recipe from the cache by ID."""
|
||||||
|
|
||||||
@@ -779,6 +883,9 @@ class RecipeScanner:
|
|||||||
|
|
||||||
self._update_folder_metadata(cache)
|
self._update_folder_metadata(cache)
|
||||||
self._schedule_resort()
|
self._schedule_resort()
|
||||||
|
|
||||||
|
# Update FTS index
|
||||||
|
self._update_fts_index_for_recipe(recipe_id, 'remove')
|
||||||
return True
|
return True
|
||||||
|
|
||||||
async def bulk_remove(self, recipe_ids: Iterable[str]) -> int:
|
async def bulk_remove(self, recipe_ids: Iterable[str]) -> int:
|
||||||
@@ -788,6 +895,9 @@ class RecipeScanner:
|
|||||||
removed = await cache.bulk_remove(recipe_ids, resort=False)
|
removed = await cache.bulk_remove(recipe_ids, resort=False)
|
||||||
if removed:
|
if removed:
|
||||||
self._schedule_resort()
|
self._schedule_resort()
|
||||||
|
# Update FTS index for each removed recipe
|
||||||
|
for recipe_id in (str(r.get('id', '')) for r in removed):
|
||||||
|
self._update_fts_index_for_recipe(recipe_id, 'remove')
|
||||||
return len(removed)
|
return len(removed)
|
||||||
|
|
||||||
async def scan_all_recipes(self) -> List[Dict]:
|
async def scan_all_recipes(self) -> List[Dict]:
|
||||||
@@ -1331,45 +1441,55 @@ class RecipeScanner:
|
|||||||
'lora_name': True,
|
'lora_name': True,
|
||||||
'lora_model': True
|
'lora_model': True
|
||||||
}
|
}
|
||||||
|
|
||||||
# Build the search predicate based on search options
|
# Try FTS search first if available (much faster)
|
||||||
def matches_search(item):
|
fts_matching_ids = self._search_with_fts(search, search_options)
|
||||||
# Search in title if enabled
|
if fts_matching_ids is not None:
|
||||||
if search_options.get('title', True):
|
# FTS search succeeded, filter by matching IDs
|
||||||
if fuzzy_match(str(item.get('title', '')), search):
|
filtered_data = [
|
||||||
return True
|
item for item in filtered_data
|
||||||
|
if str(item.get('id', '')) in fts_matching_ids
|
||||||
# Search in tags if enabled
|
]
|
||||||
if search_options.get('tags', True) and 'tags' in item:
|
else:
|
||||||
for tag in item['tags']:
|
# Fallback to fuzzy_match (slower but always available)
|
||||||
if fuzzy_match(tag, search):
|
# Build the search predicate based on search options
|
||||||
|
def matches_search(item):
|
||||||
|
# Search in title if enabled
|
||||||
|
if search_options.get('title', True):
|
||||||
|
if fuzzy_match(str(item.get('title', '')), search):
|
||||||
return True
|
return True
|
||||||
|
|
||||||
# Search in lora file names if enabled
|
# Search in tags if enabled
|
||||||
if search_options.get('lora_name', True) and 'loras' in item:
|
if search_options.get('tags', True) and 'tags' in item:
|
||||||
for lora in item['loras']:
|
for tag in item['tags']:
|
||||||
if fuzzy_match(str(lora.get('file_name', '')), search):
|
if fuzzy_match(tag, search):
|
||||||
|
return True
|
||||||
|
|
||||||
|
# Search in lora file names if enabled
|
||||||
|
if search_options.get('lora_name', True) and 'loras' in item:
|
||||||
|
for lora in item['loras']:
|
||||||
|
if fuzzy_match(str(lora.get('file_name', '')), search):
|
||||||
|
return True
|
||||||
|
|
||||||
|
# Search in lora model names if enabled
|
||||||
|
if search_options.get('lora_model', True) and 'loras' in item:
|
||||||
|
for lora in item['loras']:
|
||||||
|
if fuzzy_match(str(lora.get('modelName', '')), search):
|
||||||
|
return True
|
||||||
|
|
||||||
|
# Search in prompt and negative_prompt if enabled
|
||||||
|
if search_options.get('prompt', True) and 'gen_params' in item:
|
||||||
|
gen_params = item['gen_params']
|
||||||
|
if fuzzy_match(str(gen_params.get('prompt', '')), search):
|
||||||
return True
|
return True
|
||||||
|
if fuzzy_match(str(gen_params.get('negative_prompt', '')), search):
|
||||||
# Search in lora model names if enabled
|
|
||||||
if search_options.get('lora_model', True) and 'loras' in item:
|
|
||||||
for lora in item['loras']:
|
|
||||||
if fuzzy_match(str(lora.get('modelName', '')), search):
|
|
||||||
return True
|
return True
|
||||||
|
|
||||||
# Search in prompt and negative_prompt if enabled
|
# No match found
|
||||||
if search_options.get('prompt', True) and 'gen_params' in item:
|
return False
|
||||||
gen_params = item['gen_params']
|
|
||||||
if fuzzy_match(str(gen_params.get('prompt', '')), search):
|
# Filter the data using the search predicate
|
||||||
return True
|
filtered_data = [item for item in filtered_data if matches_search(item)]
|
||||||
if fuzzy_match(str(gen_params.get('negative_prompt', '')), search):
|
|
||||||
return True
|
|
||||||
|
|
||||||
# No match found
|
|
||||||
return False
|
|
||||||
|
|
||||||
# Filter the data using the search predicate
|
|
||||||
filtered_data = [item for item in filtered_data if matches_search(item)]
|
|
||||||
|
|
||||||
# Apply additional filters
|
# Apply additional filters
|
||||||
if filters:
|
if filters:
|
||||||
@@ -1601,6 +1721,9 @@ class RecipeScanner:
|
|||||||
await self._cache.update_recipe_metadata(recipe_id, metadata, resort=False)
|
await self._cache.update_recipe_metadata(recipe_id, metadata, resort=False)
|
||||||
self._schedule_resort()
|
self._schedule_resort()
|
||||||
|
|
||||||
|
# Update FTS index
|
||||||
|
self._update_fts_index_for_recipe(recipe_data, 'update')
|
||||||
|
|
||||||
# If the recipe has an image, update its EXIF metadata
|
# If the recipe has an image, update its EXIF metadata
|
||||||
from ..utils.exif_utils import ExifUtils
|
from ..utils.exif_utils import ExifUtils
|
||||||
image_path = recipe_data.get('file_path')
|
image_path = recipe_data.get('file_path')
|
||||||
@@ -1669,6 +1792,9 @@ class RecipeScanner:
|
|||||||
await cache.add_recipe(recipe_data, resort=False)
|
await cache.add_recipe(recipe_data, resort=False)
|
||||||
self._schedule_resort()
|
self._schedule_resort()
|
||||||
|
|
||||||
|
# Update FTS index
|
||||||
|
self._update_fts_index_for_recipe(recipe_data, 'update')
|
||||||
|
|
||||||
updated_lora = dict(lora_entry)
|
updated_lora = dict(lora_entry)
|
||||||
if target_lora is not None:
|
if target_lora is not None:
|
||||||
preview_url = target_lora.get('preview_url')
|
preview_url = target_lora.get('preview_url')
|
||||||
|
|||||||
443
tests/services/test_recipe_fts_index.py
Normal file
443
tests/services/test_recipe_fts_index.py
Normal file
@@ -0,0 +1,443 @@
|
|||||||
|
"""Tests for RecipeFTSIndex service."""
|
||||||
|
|
||||||
|
import os
|
||||||
|
import pytest
|
||||||
|
import tempfile
|
||||||
|
import time
|
||||||
|
from pathlib import Path
|
||||||
|
|
||||||
|
from py.services.recipe_fts_index import RecipeFTSIndex
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.fixture
|
||||||
|
def temp_db_path(tmp_path):
|
||||||
|
"""Create a temporary database path for testing."""
|
||||||
|
return str(tmp_path / "test_recipe_fts.sqlite")
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.fixture
|
||||||
|
def fts_index(temp_db_path):
|
||||||
|
"""Create a RecipeFTSIndex instance with a temporary database."""
|
||||||
|
return RecipeFTSIndex(db_path=temp_db_path)
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.fixture
|
||||||
|
def sample_recipes():
|
||||||
|
"""Sample recipe data for testing."""
|
||||||
|
return [
|
||||||
|
{
|
||||||
|
'id': 'recipe-1',
|
||||||
|
'title': 'Beautiful Sunset Landscape',
|
||||||
|
'tags': ['landscape', 'sunset', 'photography'],
|
||||||
|
'loras': [
|
||||||
|
{'file_name': 'sunset_lora', 'modelName': 'Sunset Style'},
|
||||||
|
{'file_name': 'landscape_v2', 'modelName': 'Landscape Enhancer'},
|
||||||
|
],
|
||||||
|
'gen_params': {
|
||||||
|
'prompt': '1girl, sunset, beach, golden hour',
|
||||||
|
'negative_prompt': 'ugly, blurry, low quality',
|
||||||
|
},
|
||||||
|
},
|
||||||
|
{
|
||||||
|
'id': 'recipe-2',
|
||||||
|
'title': 'Anime Portrait Style',
|
||||||
|
'tags': ['anime', 'portrait', 'character'],
|
||||||
|
'loras': [
|
||||||
|
{'file_name': 'anime_style_v3', 'modelName': 'Anime Master'},
|
||||||
|
],
|
||||||
|
'gen_params': {
|
||||||
|
'prompt': '1girl, anime style, beautiful eyes, detailed hair',
|
||||||
|
'negative_prompt': 'worst quality, bad anatomy',
|
||||||
|
},
|
||||||
|
},
|
||||||
|
{
|
||||||
|
'id': 'recipe-3',
|
||||||
|
'title': 'Cyberpunk City Night',
|
||||||
|
'tags': ['cyberpunk', 'city', 'night'],
|
||||||
|
'loras': [
|
||||||
|
{'file_name': 'cyberpunk_neon', 'modelName': 'Neon Lights'},
|
||||||
|
{'file_name': 'city_streets', 'modelName': 'Urban Environments'},
|
||||||
|
],
|
||||||
|
'gen_params': {
|
||||||
|
'prompt': 'cyberpunk city, neon lights, rain, night time',
|
||||||
|
'negative_prompt': 'daylight, sunny',
|
||||||
|
},
|
||||||
|
},
|
||||||
|
]
|
||||||
|
|
||||||
|
|
||||||
|
class TestRecipeFTSIndexInitialization:
|
||||||
|
"""Tests for FTS index initialization."""
|
||||||
|
|
||||||
|
def test_initialize_creates_database(self, fts_index, temp_db_path):
|
||||||
|
"""Test that initialize creates the database file."""
|
||||||
|
fts_index.initialize()
|
||||||
|
assert os.path.exists(temp_db_path)
|
||||||
|
|
||||||
|
def test_initialize_is_idempotent(self, fts_index):
|
||||||
|
"""Test that calling initialize multiple times is safe."""
|
||||||
|
fts_index.initialize()
|
||||||
|
fts_index.initialize()
|
||||||
|
fts_index.initialize()
|
||||||
|
assert fts_index._schema_initialized
|
||||||
|
|
||||||
|
def test_is_ready_false_before_build(self, fts_index):
|
||||||
|
"""Test that is_ready returns False before index is built."""
|
||||||
|
assert not fts_index.is_ready()
|
||||||
|
|
||||||
|
def test_get_database_path(self, fts_index, temp_db_path):
|
||||||
|
"""Test that get_database_path returns the correct path."""
|
||||||
|
assert fts_index.get_database_path() == temp_db_path
|
||||||
|
|
||||||
|
|
||||||
|
class TestRecipeFTSIndexBuild:
|
||||||
|
"""Tests for FTS index building."""
|
||||||
|
|
||||||
|
def test_build_index_creates_ready_index(self, fts_index, sample_recipes):
|
||||||
|
"""Test that build_index makes the index ready."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
assert fts_index.is_ready()
|
||||||
|
|
||||||
|
def test_build_index_counts_recipes(self, fts_index, sample_recipes):
|
||||||
|
"""Test that build_index indexes all recipes."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
assert fts_index.get_indexed_count() == len(sample_recipes)
|
||||||
|
|
||||||
|
def test_build_index_empty_list(self, fts_index):
|
||||||
|
"""Test building index with empty recipe list."""
|
||||||
|
fts_index.build_index([])
|
||||||
|
assert fts_index.is_ready()
|
||||||
|
assert fts_index.get_indexed_count() == 0
|
||||||
|
|
||||||
|
def test_build_index_handles_recipes_without_id(self, fts_index):
|
||||||
|
"""Test that recipes without ID are skipped."""
|
||||||
|
recipes = [
|
||||||
|
{'title': 'No ID Recipe', 'tags': ['test']},
|
||||||
|
{'id': 'valid-id', 'title': 'Valid Recipe', 'tags': ['test']},
|
||||||
|
]
|
||||||
|
fts_index.build_index(recipes)
|
||||||
|
assert fts_index.get_indexed_count() == 1
|
||||||
|
|
||||||
|
def test_build_index_handles_missing_fields(self, fts_index):
|
||||||
|
"""Test that missing optional fields are handled gracefully."""
|
||||||
|
recipes = [
|
||||||
|
{'id': 'minimal', 'title': 'Minimal Recipe'},
|
||||||
|
]
|
||||||
|
fts_index.build_index(recipes)
|
||||||
|
assert fts_index.is_ready()
|
||||||
|
assert fts_index.get_indexed_count() == 1
|
||||||
|
|
||||||
|
|
||||||
|
class TestRecipeFTSIndexSearch:
|
||||||
|
"""Tests for FTS search functionality."""
|
||||||
|
|
||||||
|
def test_search_by_title(self, fts_index, sample_recipes):
|
||||||
|
"""Test searching by recipe title."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
|
||||||
|
results = fts_index.search('sunset')
|
||||||
|
assert 'recipe-1' in results
|
||||||
|
|
||||||
|
results = fts_index.search('anime')
|
||||||
|
assert 'recipe-2' in results
|
||||||
|
|
||||||
|
def test_search_by_tags(self, fts_index, sample_recipes):
|
||||||
|
"""Test searching by recipe tags."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
|
||||||
|
results = fts_index.search('landscape')
|
||||||
|
assert 'recipe-1' in results
|
||||||
|
|
||||||
|
results = fts_index.search('cyberpunk')
|
||||||
|
assert 'recipe-3' in results
|
||||||
|
|
||||||
|
def test_search_by_lora_name(self, fts_index, sample_recipes):
|
||||||
|
"""Test searching by LoRA file name."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
|
||||||
|
results = fts_index.search('anime_style')
|
||||||
|
assert 'recipe-2' in results
|
||||||
|
|
||||||
|
results = fts_index.search('cyberpunk_neon')
|
||||||
|
assert 'recipe-3' in results
|
||||||
|
|
||||||
|
def test_search_by_lora_model_name(self, fts_index, sample_recipes):
|
||||||
|
"""Test searching by LoRA model name."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
|
||||||
|
results = fts_index.search('Anime Master')
|
||||||
|
assert 'recipe-2' in results
|
||||||
|
|
||||||
|
def test_search_by_prompt(self, fts_index, sample_recipes):
|
||||||
|
"""Test searching by prompt content."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
|
||||||
|
results = fts_index.search('golden hour')
|
||||||
|
assert 'recipe-1' in results
|
||||||
|
|
||||||
|
results = fts_index.search('neon lights')
|
||||||
|
assert 'recipe-3' in results
|
||||||
|
|
||||||
|
def test_search_prefix_matching(self, fts_index, sample_recipes):
|
||||||
|
"""Test that prefix matching works."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
|
||||||
|
# 'sun' should match 'sunset'
|
||||||
|
results = fts_index.search('sun')
|
||||||
|
assert 'recipe-1' in results
|
||||||
|
|
||||||
|
# 'ani' should match 'anime'
|
||||||
|
results = fts_index.search('ani')
|
||||||
|
assert 'recipe-2' in results
|
||||||
|
|
||||||
|
def test_search_multiple_words(self, fts_index, sample_recipes):
|
||||||
|
"""Test searching with multiple words (AND logic)."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
|
||||||
|
# Both words must match
|
||||||
|
results = fts_index.search('city night')
|
||||||
|
assert 'recipe-3' in results
|
||||||
|
|
||||||
|
def test_search_case_insensitive(self, fts_index, sample_recipes):
|
||||||
|
"""Test that search is case-insensitive."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
|
||||||
|
results_lower = fts_index.search('sunset')
|
||||||
|
results_upper = fts_index.search('SUNSET')
|
||||||
|
results_mixed = fts_index.search('SuNsEt')
|
||||||
|
|
||||||
|
assert results_lower == results_upper == results_mixed
|
||||||
|
|
||||||
|
def test_search_no_results(self, fts_index, sample_recipes):
|
||||||
|
"""Test search with no matching results."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
|
||||||
|
results = fts_index.search('nonexistent')
|
||||||
|
assert len(results) == 0
|
||||||
|
|
||||||
|
def test_search_empty_query(self, fts_index, sample_recipes):
|
||||||
|
"""Test search with empty query."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
|
||||||
|
results = fts_index.search('')
|
||||||
|
assert len(results) == 0
|
||||||
|
|
||||||
|
results = fts_index.search(' ')
|
||||||
|
assert len(results) == 0
|
||||||
|
|
||||||
|
def test_search_not_ready_returns_empty(self, fts_index):
|
||||||
|
"""Test that search returns empty set when index not ready."""
|
||||||
|
results = fts_index.search('test')
|
||||||
|
assert len(results) == 0
|
||||||
|
|
||||||
|
|
||||||
|
class TestRecipeFTSIndexFieldRestriction:
|
||||||
|
"""Tests for field-specific search."""
|
||||||
|
|
||||||
|
def test_search_title_only(self, fts_index, sample_recipes):
|
||||||
|
"""Test searching only in title field."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
|
||||||
|
# 'portrait' appears in title of recipe-2
|
||||||
|
results = fts_index.search('portrait', fields={'title'})
|
||||||
|
assert 'recipe-2' in results
|
||||||
|
|
||||||
|
def test_search_tags_only(self, fts_index, sample_recipes):
|
||||||
|
"""Test searching only in tags field."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
|
||||||
|
results = fts_index.search('photography', fields={'tags'})
|
||||||
|
assert 'recipe-1' in results
|
||||||
|
|
||||||
|
def test_search_lora_name_only(self, fts_index, sample_recipes):
|
||||||
|
"""Test searching only in lora_name field."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
|
||||||
|
results = fts_index.search('sunset_lora', fields={'lora_name'})
|
||||||
|
assert 'recipe-1' in results
|
||||||
|
|
||||||
|
def test_search_prompt_only(self, fts_index, sample_recipes):
|
||||||
|
"""Test searching only in prompt field."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
|
||||||
|
results = fts_index.search('golden hour', fields={'prompt'})
|
||||||
|
assert 'recipe-1' in results
|
||||||
|
|
||||||
|
# 'ugly' appears in negative_prompt
|
||||||
|
results = fts_index.search('ugly', fields={'prompt'})
|
||||||
|
assert 'recipe-1' in results
|
||||||
|
|
||||||
|
def test_search_multiple_fields(self, fts_index, sample_recipes):
|
||||||
|
"""Test searching in multiple fields."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
|
||||||
|
results = fts_index.search('sunset', fields={'title', 'tags'})
|
||||||
|
assert 'recipe-1' in results
|
||||||
|
|
||||||
|
|
||||||
|
class TestRecipeFTSIndexIncrementalOperations:
|
||||||
|
"""Tests for incremental add/remove/update operations."""
|
||||||
|
|
||||||
|
def test_add_recipe(self, fts_index, sample_recipes):
|
||||||
|
"""Test adding a single recipe to the index."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
initial_count = fts_index.get_indexed_count()
|
||||||
|
|
||||||
|
new_recipe = {
|
||||||
|
'id': 'recipe-new',
|
||||||
|
'title': 'New Fantasy Scene',
|
||||||
|
'tags': ['fantasy', 'magic'],
|
||||||
|
'loras': [{'file_name': 'fantasy_lora', 'modelName': 'Fantasy Style'}],
|
||||||
|
'gen_params': {'prompt': 'magical forest, wizard'},
|
||||||
|
}
|
||||||
|
fts_index.add_recipe(new_recipe)
|
||||||
|
|
||||||
|
assert fts_index.get_indexed_count() == initial_count + 1
|
||||||
|
assert 'recipe-new' in fts_index.search('fantasy')
|
||||||
|
|
||||||
|
def test_remove_recipe(self, fts_index, sample_recipes):
|
||||||
|
"""Test removing a recipe from the index."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
initial_count = fts_index.get_indexed_count()
|
||||||
|
|
||||||
|
# Verify recipe-1 is searchable
|
||||||
|
assert 'recipe-1' in fts_index.search('sunset')
|
||||||
|
|
||||||
|
# Remove it
|
||||||
|
fts_index.remove_recipe('recipe-1')
|
||||||
|
|
||||||
|
# Verify it's gone
|
||||||
|
assert fts_index.get_indexed_count() == initial_count - 1
|
||||||
|
assert 'recipe-1' not in fts_index.search('sunset')
|
||||||
|
|
||||||
|
def test_update_recipe(self, fts_index, sample_recipes):
|
||||||
|
"""Test updating a recipe in the index."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
|
||||||
|
# Update recipe-1 title
|
||||||
|
updated_recipe = {
|
||||||
|
'id': 'recipe-1',
|
||||||
|
'title': 'Tropical Beach Paradise', # Changed from 'Beautiful Sunset Landscape'
|
||||||
|
'tags': ['beach', 'tropical'], # Changed tags
|
||||||
|
'loras': sample_recipes[0]['loras'],
|
||||||
|
'gen_params': sample_recipes[0]['gen_params'],
|
||||||
|
}
|
||||||
|
fts_index.update_recipe(updated_recipe)
|
||||||
|
|
||||||
|
# Old title should not match
|
||||||
|
results = fts_index.search('sunset', fields={'title'})
|
||||||
|
assert 'recipe-1' not in results
|
||||||
|
|
||||||
|
# New title should match
|
||||||
|
results = fts_index.search('tropical', fields={'title'})
|
||||||
|
assert 'recipe-1' in results
|
||||||
|
|
||||||
|
def test_add_recipe_not_ready(self, fts_index):
|
||||||
|
"""Test that add_recipe returns False when index not ready."""
|
||||||
|
recipe = {'id': 'test', 'title': 'Test'}
|
||||||
|
result = fts_index.add_recipe(recipe)
|
||||||
|
assert result is False
|
||||||
|
|
||||||
|
def test_remove_recipe_not_ready(self, fts_index):
|
||||||
|
"""Test that remove_recipe returns False when index not ready."""
|
||||||
|
result = fts_index.remove_recipe('test')
|
||||||
|
assert result is False
|
||||||
|
|
||||||
|
|
||||||
|
class TestRecipeFTSIndexClear:
|
||||||
|
"""Tests for clearing the FTS index."""
|
||||||
|
|
||||||
|
def test_clear_index(self, fts_index, sample_recipes):
|
||||||
|
"""Test clearing all data from the index."""
|
||||||
|
fts_index.build_index(sample_recipes)
|
||||||
|
assert fts_index.get_indexed_count() > 0
|
||||||
|
|
||||||
|
fts_index.clear()
|
||||||
|
assert fts_index.get_indexed_count() == 0
|
||||||
|
assert not fts_index.is_ready()
|
||||||
|
|
||||||
|
|
||||||
|
class TestRecipeFTSIndexSpecialCharacters:
|
||||||
|
"""Tests for handling special characters in search."""
|
||||||
|
|
||||||
|
def test_search_with_special_characters(self, fts_index):
|
||||||
|
"""Test that special characters are handled safely."""
|
||||||
|
recipes = [
|
||||||
|
{'id': 'r1', 'title': 'Test (with) parentheses', 'tags': []},
|
||||||
|
{'id': 'r2', 'title': 'Test "with" quotes', 'tags': []},
|
||||||
|
{'id': 'r3', 'title': 'Test:with:colons', 'tags': []},
|
||||||
|
]
|
||||||
|
fts_index.build_index(recipes)
|
||||||
|
|
||||||
|
# These should not crash
|
||||||
|
results = fts_index.search('(with)')
|
||||||
|
results = fts_index.search('"with"')
|
||||||
|
results = fts_index.search(':with:')
|
||||||
|
|
||||||
|
# Basic word should still match
|
||||||
|
results = fts_index.search('test')
|
||||||
|
assert len(results) == 3
|
||||||
|
|
||||||
|
def test_search_unicode_characters(self, fts_index):
|
||||||
|
"""Test searching with unicode characters."""
|
||||||
|
recipes = [
|
||||||
|
{'id': 'r1', 'title': '日本語テスト', 'tags': ['anime']},
|
||||||
|
{'id': 'r2', 'title': 'Émilie résumé café', 'tags': ['french']},
|
||||||
|
]
|
||||||
|
fts_index.build_index(recipes)
|
||||||
|
|
||||||
|
# Unicode search
|
||||||
|
results = fts_index.search('日本')
|
||||||
|
assert 'r1' in results
|
||||||
|
|
||||||
|
# Diacritics (depends on tokenizer settings)
|
||||||
|
results = fts_index.search('cafe') # Should match café due to remove_diacritics
|
||||||
|
# Note: Result depends on FTS5 configuration
|
||||||
|
|
||||||
|
|
||||||
|
class TestRecipeFTSIndexPerformance:
|
||||||
|
"""Basic performance tests."""
|
||||||
|
|
||||||
|
def test_build_large_index(self, fts_index):
|
||||||
|
"""Test building index with many recipes."""
|
||||||
|
recipes = [
|
||||||
|
{
|
||||||
|
'id': f'recipe-{i}',
|
||||||
|
'title': f'Recipe Title {i} with words like sunset landscape anime cyberpunk',
|
||||||
|
'tags': ['tag1', 'tag2', 'tag3'],
|
||||||
|
'loras': [{'file_name': f'lora_{i}', 'modelName': f'Model {i}'}],
|
||||||
|
'gen_params': {'prompt': f'test prompt {i}', 'negative_prompt': 'bad'},
|
||||||
|
}
|
||||||
|
for i in range(1000)
|
||||||
|
]
|
||||||
|
|
||||||
|
start_time = time.time()
|
||||||
|
fts_index.build_index(recipes)
|
||||||
|
build_time = time.time() - start_time
|
||||||
|
|
||||||
|
assert fts_index.is_ready()
|
||||||
|
assert fts_index.get_indexed_count() == 1000
|
||||||
|
# Build should complete reasonably fast (under 5 seconds)
|
||||||
|
assert build_time < 5.0
|
||||||
|
|
||||||
|
def test_search_large_index(self, fts_index):
|
||||||
|
"""Test searching a large index."""
|
||||||
|
recipes = [
|
||||||
|
{
|
||||||
|
'id': f'recipe-{i}',
|
||||||
|
'title': f'Recipe Title {i}',
|
||||||
|
'tags': ['common_tag'],
|
||||||
|
'loras': [],
|
||||||
|
'gen_params': {},
|
||||||
|
}
|
||||||
|
for i in range(1000)
|
||||||
|
]
|
||||||
|
fts_index.build_index(recipes)
|
||||||
|
|
||||||
|
start_time = time.time()
|
||||||
|
results = fts_index.search('common_tag')
|
||||||
|
search_time = time.time() - start_time
|
||||||
|
|
||||||
|
assert len(results) == 1000
|
||||||
|
# Search should be very fast (under 100ms)
|
||||||
|
assert search_time < 0.1
|
||||||
Reference in New Issue
Block a user