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  • I18n and L10n support · 2 ✖

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  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
826784306 https://github.com/simonw/datasette/issues/173#issuecomment-826784306 https://api.github.com/repos/simonw/datasette/issues/173 MDEyOklzc3VlQ29tbWVudDgyNjc4NDMwNg== ColinMaudry 3747136 2021-04-26T12:10:01Z 2021-04-26T12:10:01Z NONE

I found a neat tutorial to set up gettext with jinja2: http://siongui.github.io/2016/01/17/i18n-python-web-application-by-gettext-jinja2/

 
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 I18n and L10n support 281110295  
823961091 https://github.com/simonw/datasette/issues/173#issuecomment-823961091 https://api.github.com/repos/simonw/datasette/issues/173 MDEyOklzc3VlQ29tbWVudDgyMzk2MTA5MQ== ColinMaudry 3747136 2021-04-21T10:37:05Z 2021-04-21T10:37:36Z NONE

I have the feeling that the text visible to users is 95% present in template files (datasette/templates). The python code mainly contains error messages.

In the current situation, the best way to provide a localized frontend is to translate the templates and configure datasette to use them. I think I'm going to do it for French.

If we want localization to be better integrated, for the python code, I think gettext is the way to go. The .po can be translated in user-friendly tools such as Transifex and Crowdin.

For the templates, I'm not sure how we could do it cleanly and easy to maintain. Maybe the tools above could parse HTML and detect the strings to be translated.

In any case, localization implementing l10n is just the first step: a continuous process must be setup to maintain the translations and produce new ones while datasette keeps getting new features.

 
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 I18n and L10n support 281110295  

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