Release WABS - v1.0.0-beta.7 · wizwin/WABS

What's Changed in v1.0.0-beta.7

Full Changelog: https://github.com/wizwin/WABS/commits/v1.0.0-beta.7

Document Text Extraction & Search: Introduced a powerful new text extraction pipeline for documents (PDF, DOCX, PPTX, XLSX, and text/code files). Extracted keywords are indexed into a new FTS5 virtual table (file_text_fts), allowing you to instantly search for files based on their contents. Added dedicated start/stop/reset controls in the UI for the document scanner.
AI Search Assistant: Added experimental support for LLM-powered natural language searches. WABS can now translate natural language prompts into valid WABS search queries (e.g., "Find photos of cars from 2022"). Configurable in Settings with connection testing.
Favorite (Pinned) People: You can now pin or favorite specific people on the People page. Pinned individuals will always remain sorted at the top of the grid for quick access.
Hardware Acceleration: Added hardware acceleration support for OpenCV video frame extraction and CUDA support for DNN (Deep Neural Network) modules, significantly improving media processing speeds.

Multi-Person Manual Tagging: Replaced the single-select auto-assign dropdown with a robust multi-select component (Select + Add/Remove buttons) for manual person tagging.
Intelligent Undo & Refresh: Vastly improved the undo action for tagging. Reverting a tag now flawlessly refreshes the UI, dashboard statistics, and maintains your selected file states without manual page reloads.
Bi-Directional Pagination & Lazy Rendering: The frontend now supports bi-directional pagination and utilizes IntersectionObserver for lazy rendering of Date Groups, providing buttery-smooth scrolling on massive archives. Chunk limits are now configurable in Settings.
Streaming API Responses: Converted file, search, and people-photo endpoints to use streaming JSON responses, dramatically reducing frontend wait times when loading large sets of results.
Advanced Date Normalization: Enhanced EXIF date parsing and formatting (json_extract caching). The timeline and date-range queries now correctly handle diverse formatting, including colon replacement.
Sort Presets & Propagation: File sorting preferences are now persisted to localStorage and correctly propagated to backend file and search requests.
Merge People Improvements: The flow for merging people now proactively surfaces potential name conflicts to prevent accidental overwrites.
Image Loading & Retry: Implemented automatic image retry with exponential backoff and error handling for robust thumbnail loading.

Path Mapping & Safe Deletion: Added configurable path_mappings during indexing to normalize paths across different OS environments. Removed the risk of accidental deletions by gating missing-file removal behind allow_delete_missing or explicit force_reindex flags.
Binary Newline Counting: Switched text/code line counts to highly optimized binary newline counts, greatly improving performance on large code repositories.
LLM Provider Enhancements: Hardened the AI tagging integration (llm_classify) by normalizing provider URLs, intelligently appending /chat/completions, including file metadata in prompts, and sanitizing LLM responses.
Database Startup Optimizations: The backend now creates necessary DB expression indexes automatically at startup and safely suppresses harmless Windows asyncio ConnectionResetErrors.
Exact Match Operator: Added support for the = operator in size and length filters (e.g., size:=1MB).
Keyword Limit Configuration: Introduced a new text_extraction_limit (default 300 words) setting in the backend, fully exposed to the frontend Settings UI, giving you control over document scanning depth.
Memory & Resource Safety: Improved OpenCV backend selection, added safety limits to prevent crashing on exceptionally large EXIF blobs, and improved text-to-SVG generation to prevent memory spikes.