datasette-render-markdown
Datasette plugin for rendering Markdown.
Installation
Install this plugin in the same environment as Datasette to enable this new functionality:
$ pip install datasette-render-markdown
Usage
You can explicitly list the columns you would like to treat as Markdown using plugin configuration in a metadata.json file.
Add a ""datasette-render-markdown"" configuration block and use a ""columns"" key to list the columns you would like to treat as Markdown values:
{
""plugins"": {
""datasette-render-markdown"": {
""columns"": [""body""]
}
}
}This will cause any body column in any table to be treated as markdown and safely rendered using Python-Markdown. The resulting HTML is then run through Bleach to avoid the risk of XSS security problems.
Save this to metadata.json and run Datasette with the --metadata flag to load this configuration:
$ datasette serve mydata.db --metadata metadata.json
The configuration block can be used at the top level, or it can be applied just to specific databases or tables. Here's how to apply it to just the entries table in the news.db database:
{
""databases"": {
""news"": {
""tables"": {
""entries"": {
""plugins"": {
""datasette-render-markdown"": {
""columns"": [""body""]
}
}
}
}
}
}
}And here's how to apply it to every body column in every table in the news.db database:
{
""databases"": {
""news"": {
""plugins"": {
""datasette-render-markdown"": {
""columns"": [""body""]
}
}
}
}
}Columns that match a naming convention
This plugin can also render markdown in any columns that match a specific naming convention.
By default, columns that have a name ending in _markdown will be rendered.
You can try this out using the following query:
select '# Hello there * This is a list * of items [And a link](https://github.com/simonw/datasette-render-markdown).' as demo_markdown
You can configure a different list of wildcard patterns using the ""patterns"" configuration key. Here's how to render columns that end in either _markdown or _md:
{
""plugins"": {
""datasette-render-markdown"": {
""patterns"": [""*_markdown"", ""*_md""]
}
}
}To disable wildcard column matching entirely, set ""patterns"": [] in your plugin metadata configuration.
Markdown extensions
The Python-Markdown library that powers this plugin supports extensions, both bundled and third-party. These can be used to enable additional Markdown features such as table support.
You can configure support for extensions using the ""extensions"" key in your plugin metadata configuration.
Since extensions may introduce new HTML tags, you will also need to add those tags to the list of tags that are allowed by the Bleach sanitizer. You can do that using the ""extra_tags"" key, and you can whitelist additional HTML attributes using ""extra_attrs"". See the Bleach documentation for more information on this.
Here's how to enable support for Markdown tables:
{
""plugins"": {
""datasette-render-markdown"": {
""extensions"": [""tables""],
""extra_tags"": [""table"", ""thead"", ""tr"", ""th"", ""td"", ""tbody""]
}
}
}GitHub-Flavored Markdown
Enabling GitHub-Flavored Markdown (useful for if you are working with data imported from GitHub using github-to-sqlite) is a little more complicated.
First, you will need to install the py-gfm package:
$ pip install py-gfm
Note that py-gfm has a bug that causes it to pin to Markdown<3.0 - so if you are using it you should install it before installing datasette-render-markdown to ensure you get a compatibly version of that dependency.
Now you can configure it like this. Note that the extension name is mdx_gfm:GithubFlavoredMarkdownExtension and you need to whitelist several extra HTML tags and attributes:
{
""plugins"": {
""datasette-render-markdown"": {
""extra_tags"": [
""hr"",
""br"",
""details"",
""summary"",
""input""
],
""extra_attrs"": {
""input"": [
""type"",
""disabled"",
""checked""
],
},
""extensions"": [
""mdx_gfm:GithubFlavoredMarkdownExtension""
]
}
}
}The <input type="""" checked disabled> attributes are needed to support rendering checkboxes in issue descriptions.
Markdown in templates
The plugin also adds a new template function: render_markdown(value). You can use this in your templates like so:
{{ render_markdown(""""""
# This is markdown
* One
* Two
* Three
"""""") }}You can load additional extensions and whitelist tags by passing extra arguments to the function like this:
{{ render_markdown(""""""
## Markdown table
First Header | Second Header
------------- | -------------
Content Cell | Content Cell
Content Cell | Content Cell
"""""", extensions=[""tables""],
extra_tags=[""table"", ""thead"", ""tr"", ""th"", ""td"", ""tbody""])) }}