- Implemented voice management routes in `voices.py` for listing, saving, and deleting speaker configurations.
- Added a test endpoint for voice synthesis preview, allowing users to test voice settings with provided text and speed.
- Introduced utility functions in `voice.py` for building voice catalogs, resolving voice settings, and synthesizing audio from normalized text.
- Enhanced speaker roster building and configuration application logic to support dynamic voice settings.
- Implemented functions to handle Calibre OPDS settings and test connections.
- Added Audiobookshelf settings handling and test connections.
- Enhanced the UI to allow users to test connections for both integrations.
- Created new API endpoints for importing books from Calibre OPDS and testing Audiobookshelf connections.
- Updated the find_books.html template to include an OPDS browser for searching Calibre catalogs.
- Added JavaScript functionality for handling OPDS browsing and importing books.
- Updated settings.html to include fields for Audiobookshelf configuration.
- Enhanced job management to allow sending jobs to Audiobookshelf.
- Implemented Audiobookshelf integration for uploading audiobooks with metadata, cover, chapters, and subtitles.
- Added configuration options for Audiobookshelf in the settings page, including base URL, API token, library ID, and upload preferences.
- Introduced Calibre OPDS integration for fetching and downloading resources from a Calibre OPDS catalog.
- Enhanced job processing to include post-completion hooks for Audiobookshelf uploads.
- Updated settings template to include new integration options and fields.
- Added utility functions for metadata normalization and chapter extraction.
- Included HTTP client functionality for both Audiobookshelf and Calibre OPDS interactions.
- Updated dependencies to include httpx for HTTP requests.
- Added LLMClient class for handling requests to LLM API, including methods for listing models and generating completions.
- Introduced LLMConfiguration dataclass for managing LLM configuration settings.
- Created normalization_settings module to manage normalization configurations and environment variable overrides.
- Developed JavaScript functionality for the settings interface, including model fetching and preview generation for LLM and normalization.
- Enhanced user experience with status messages and error handling in the settings UI.
- Introduced `auto_prefix_chapter_titles` setting in Job and PendingJob classes to control prefixing of chapter titles with "Chapter".
- Updated job detail and settings templates to display and configure the new option.
- Enhanced reader.js to manage playback controls, including chapter navigation and playback speed adjustments.
- Implemented a new prepare_chapters.html template for chapter selection and configuration during job preparation.
- Added tests for chapter title formatting and heading equivalence to ensure correct behavior of the new feature.
- Removed `prepare_chapters.html` and `prepare_entities.html` templates as they are no longer needed.
- Updated `routes.py` to remove references to the removed templates and adjusted job preparation logic.
- Simplified response handling in job preparation routes by removing unnecessary parameters.
- Consolidated job preparation logic to improve maintainability and clarity.
- Implemented `new_job_step_book.html` to handle manuscript and subtitle settings, including language selection, subtitle mode, and narrator defaults.
- Created `new_job_step_chapters.html` for managing detected chapters, allowing users to toggle chapters, rename them, and set voice overrides.
- Developed `new_job_step_entities.html` to configure speaker settings, manage entity pronunciations, and handle manual overrides for voice assignments.
- Enhanced user experience with dynamic forms and validation, ensuring smooth navigation through the job creation process.
- Added a new module for managing pronunciation overrides using SQLite.
- Implemented functions to load, save, search, and delete pronunciation overrides.
- Introduced schema for storing overrides and metadata.
- Added thread-safe access to the database with RLock.
- Created a utility for normalizing tokens for consistent storage and retrieval.
refactor: Overhaul entities step in the preparation wizard
- Renamed Step 3 from "Speakers" to "Entities" across all templates and routes.
- Introduced sub-navigation with tabs for "People", "Entities", and "Manual Overrides".
- Enhanced UI to display detected entities and allow manual overrides for pronunciations.
- Implemented search functionality for manual overrides with AJAX support.
- Updated frontend logic to manage tab interactions and voice selections.
docs: Add detailed plan for entities step overhaul
- Documented requirements, implementation strategies, and testing plans for the entities step.
- Outlined the integration of POS tagging and entity recognition using spaCy.
- Provided a comprehensive overview of the manual overrides workflow and data persistence strategies.
- Added gender inference improvements in speaker_analysis.py, including handling of titles and diacritics.
- Updated analyze_speakers function to include sample excerpts with context paragraphs.
- Modified routes.py to skip suppressed speakers in the speaker roster.
- Enhanced prepare.js to manage speaker samples and pronunciation previews more effectively.
- Refined prepare_chapters.html and prepare_speakers.html templates for better navigation and user experience.
- Added tests for speaker analysis to ensure proper handling of stopwords and threshold suppression.
- Created `prepare_chapters.html` to allow users to select and configure chapters for conversion, including options for voice profiles and chunk granularity.
- Developed `prepare_speakers.html` for assigning voices to detected speakers, auditioning samples, and applying saved speaker configurations.
- Implemented step indicators and navigation between chapters and speakers in the UI.
- Added error and notice handling for user feedback during the preparation process.
- Included scripts for voice catalog and language mapping to enhance user experience.
JB