- 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.
Deniz Şafak