Implement AI-Assisted Translation Management Tool for OpenSPP #767
Description
Description
OpenSPP currently uses PO/POT files for translations across multiple languages. As the platform grows, maintaining consistent translations becomes challenging. We need a tool to help identify missing translations and leverage AI to suggest translations based on existing similar strings.
Objective
Create a translation management utility that:
- Identifies missing translations across PO files
- Uses AI to suggest translations for missing strings
- Leverages existing translations to improve accuracy
- Outputs updated PO files for review through the PR process
Technical Requirements
- Parse and analyze POT/PO files across OpenSPP modules
- Identify missing translations in each target language
- Use an AI translation service (like OpenAI or similar) to generate suggestions
- Implement similarity matching to find already translated strings that are similar to pending ones
- Update PO files with suggested translations
- Ensure output PO files are compatible with Odoo's translation system
Implementation Suggestions
- Could be implemented as a standalone Python tool
- May use embeddings to find similar strings across the translation corpus
- Should support batch processing of multiple modules/languages
- Output format should facilitate easy review in GitHub PRs
Expected Outputs
- A functional command-line tool
- Documentation on how to use the tool
- Tests to ensure proper functioning
- Sample workflow for incorporating the tool into the development process
Good First Tasks
For contributors who want to work on this during the sprint:
- Setup the project structure
- Implement PO/POT file parsing
- Create a function to identify missing translations
- Research and implement similarity matching for strings
- Implement the AI integration component
- Add tests