You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Problem: The original issue #1502 requests a command to report translation statistics. A command-line report might be limited in visualization and interactivity.
Proposed Solution: Develop a web-based dashboard using Node.js, Express.js, HTML, CSS, and JavaScript to provide a rich and interactive visualization of translation statistics for lingo.dev.
Technical Details:
Backend (Node.js/Express.js):
An API endpoint (/translation-stats) to collect and process translation data (e.g., from source files, a database, or existing translation logs).
Aggregate data to generate various metrics (e.g., total strings, translated strings per language, translation progress, untranslated count, errors).
Could use MongoDB to store historical translation data for trend analysis or to cache aggregated statistics.
Frontend (HTML/CSS/JS):
A dashboard interface built with HTML, styled with CSS, and made interactive with JavaScript.
Display key statistics using charts (e.g., bar charts for language coverage, pie charts for completion status) and tables.
Allow users to filter by language, date range, or other criteria.
Provide a clear, at-a-glance overview of the translation health of the project.
Benefits:
Enhanced visualization and interactivity compared to a command-line report.
Easier tracking of translation progress and identification of bottlenecks.
Improved collaboration among translators and developers.
Problem: The original issue #1502 requests a command to report translation statistics. A command-line report might be limited in visualization and interactivity.
Proposed Solution: Develop a web-based dashboard using Node.js, Express.js, HTML, CSS, and JavaScript to provide a rich and interactive visualization of translation statistics for lingo.dev.
Technical Details:
/translation-stats) to collect and process translation data (e.g., from source files, a database, or existing translation logs).