Introduce a new PersistentRecipeCache service that stores recipe metadata in an SQLite database to significantly reduce application startup time. The cache eliminates the need to walk directories and parse JSON files on each launch by persisting recipe data between sessions.
Key features:
- Thread-safe singleton implementation with library-specific instances
- Automatic schema initialization and migration support
- JSON serialization for complex recipe fields (LoRAs, checkpoints, generation parameters, tags)
- File system monitoring with mtime/size validation for cache invalidation
- Environment variable toggle (LORA_MANAGER_DISABLE_PERSISTENT_CACHE) for debugging
- Comprehensive test suite covering save/load cycles, cache invalidation, and edge cases
The cache improves user experience by enabling near-instantaneous recipe loading after the initial cache population, while maintaining data consistency through file change detection.
Fixes a critical bug in FTS query building where multi-word searches
with field restrictions incorrectly used OR between all word+field
combinations instead of requiring ALL words to match within at least
one field.
Example: searching "cute cat" in {title, tags} previously produced:
title:cute* OR title:cat* OR tags:cute* OR tags:cat*
Which matched recipes with ANY word in ANY field.
Now produces:
(title:cute* title:cat*) OR (tags:cute* tags:cat*)
Which requires ALL words to match within at least one field.
Also adds fallback to fuzzy search when FTS returns empty results,
improving search reliability.
Co-Authored-By: Claude <noreply@anthropic.com>
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.
