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License: MIT License
For a fixed builder, load the data from multiple sources.
If the same key is present in multiple documents, concatenate the values.
Publications and talks should provide link to their respective PDFs (and videos). Moreover, projects must link to their repository.
Instead of attaching the modules to the builder, they should be added to a context. That way, a unique builder can be used to produce multiple files.
Talks are correctly grouped per year but should also be sorted by the complete date.
For now, the output is only the section's title and the content generated from the JSON document. It should be possible to add an user-defined text between the two. Moreover, it should be an instance of cvbuilder.modules.Description. For instance,
module = ModuleName(section="Example", description=Description("This is an example of a text between the section's title and the content."))
produces a section called Example
, followed by the context-appropriate representation of the description. Finally, the module's main content is produced.
When the LaTeX context module is not loaded, importing the modules fails due to
module 'cvbuilder.contexts' has no attribute 'latex'
Likewise for any context, of course.
For now, a solution is to explicitly import every context in the main file.
Besides list, it should be possible to add italics or bold texts and links inside an instance of Description.
And if it missing, the contexts should simply not produce the corresponding output.
For now, to obtain subsections, the file must look like this
"key": [
{
"sub1": [ ... ]
},
{
"sub2": [ ... ]
}
]
It would be better to just write
"key": {
"sub1": [ ... ],
"sub2:" [ ... ]
}
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