kopia lustrzana https://github.com/simonw/datasette
319 wiersze
11 KiB
ReStructuredText
319 wiersze
11 KiB
ReStructuredText
.. _plugins:
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Plugins
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=======
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Datasette's plugin system allows additional features to be implemented as Python
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code (or front-end JavaScript) which can be wrapped up in a separate Python
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package. The underlying mechanism uses `pluggy <https://pluggy.readthedocs.io/>`_.
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See the `Datasette plugins directory <https://datasette.io/plugins>`__ for a list of existing plugins, or take a look at the
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`datasette-plugin <https://github.com/topics/datasette-plugin>`__ topic on GitHub.
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Things you can do with plugins include:
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* Add visualizations to Datasette, for example
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`datasette-cluster-map <https://github.com/simonw/datasette-cluster-map>`__ and
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`datasette-vega <https://github.com/simonw/datasette-vega>`__.
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* Make new custom SQL functions available for use within Datasette, for example
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`datasette-haversine <https://github.com/simonw/datasette-haversine>`__ and
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`datasette-jellyfish <https://github.com/simonw/datasette-jellyfish>`__.
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* Define custom output formats with custom extensions, for example `datasette-atom <https://github.com/simonw/datasette-atom>`__ and
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`datasette-ics <https://github.com/simonw/datasette-ics>`__.
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* Add template functions that can be called within your Jinja custom templates,
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for example `datasette-render-markdown <https://github.com/simonw/datasette-render-markdown#markdown-in-templates>`__.
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* Customize how database values are rendered in the Datasette interface, for example
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`datasette-render-binary <https://github.com/simonw/datasette-render-binary>`__ and
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`datasette-pretty-json <https://github.com/simonw/datasette-pretty-json>`__.
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* Customize how Datasette's authentication and permissions systems work, for example `datasette-auth-tokens <https://github.com/simonw/datasette-auth-tokens>`__ and
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`datasette-permissions-sql <https://github.com/simonw/datasette-permissions-sql>`__.
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.. _plugins_installing:
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Installing plugins
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------------------
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If a plugin has been packaged for distribution using setuptools you can use the plugin by installing it alongside Datasette in the same virtual environment or Docker container.
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You can install plugins using the ``datasette install`` command::
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datasette install datasette-vega
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You can uninstall plugins with ``datasette uninstall``::
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datasette uninstall datasette-vega
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You can upgrade plugins with ``datasette install --upgrade`` or ``datasette install -U``::
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datasette install -U datasette-vega
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This command can also be used to upgrade Datasette itself to the latest released version::
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datasette install -U datasette
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These commands are thin wrappers around ``pip install`` and ``pip uninstall``, which ensure they run ``pip`` in the same virtual environment as Datasette itself.
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One-off plugins using --plugins-dir
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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You can also define one-off per-project plugins by saving them as ``plugin_name.py`` functions in a ``plugins/`` folder and then passing that folder to ``datasette`` using the ``--plugins-dir`` option::
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datasette mydb.db --plugins-dir=plugins/
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Deploying plugins using datasette publish
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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The ``datasette publish`` and ``datasette package`` commands both take an optional ``--install`` argument. You can use this one or more times to tell Datasette to ``pip install`` specific plugins as part of the process::
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datasette publish cloudrun mydb.db --install=datasette-vega
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You can use the name of a package on PyPI or any of the other valid arguments to ``pip install`` such as a URL to a ``.zip`` file::
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datasette publish cloudrun mydb.db \
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--install=https://url-to-my-package.zip
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.. _plugins_installed:
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Seeing what plugins are installed
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---------------------------------
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You can see a list of installed plugins by navigating to the ``/-/plugins`` page of your Datasette instance - for example: https://fivethirtyeight.datasettes.com/-/plugins
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You can also use the ``datasette plugins`` command::
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$ datasette plugins
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[
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{
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"name": "datasette_json_html",
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"static": false,
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"templates": false,
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"version": "0.4.0"
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}
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]
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.. [[[cog
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from datasette import cli
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from click.testing import CliRunner
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import textwrap, json
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cog.out("\n")
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result = CliRunner().invoke(cli.cli, ["plugins", "--all"])
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# cog.out() with text containing newlines was unindenting for some reason
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cog.outl("If you run ``datasette plugins --all`` it will include default plugins that ship as part of Datasette::\n")
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plugins = [p for p in json.loads(result.output) if p["name"].startswith("datasette.")]
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indented = textwrap.indent(json.dumps(plugins, indent=4), " ")
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for line in indented.split("\n"):
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cog.outl(line)
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cog.out("\n\n")
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.. ]]]
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If you run ``datasette plugins --all`` it will include default plugins that ship as part of Datasette::
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[
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{
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"name": "datasette.actor_auth_cookie",
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"static": false,
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"templates": false,
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"version": null,
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"hooks": [
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"actor_from_request"
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]
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},
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{
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"name": "datasette.blob_renderer",
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"static": false,
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"templates": false,
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"version": null,
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"hooks": [
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"register_output_renderer"
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]
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},
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{
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"name": "datasette.default_magic_parameters",
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"static": false,
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"templates": false,
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"version": null,
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"hooks": [
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"register_magic_parameters"
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]
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},
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{
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"name": "datasette.default_menu_links",
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"static": false,
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"templates": false,
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"version": null,
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"hooks": [
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"menu_links"
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]
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},
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{
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"name": "datasette.default_permissions",
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"static": false,
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"templates": false,
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"version": null,
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"hooks": [
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"actor_from_request",
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"permission_allowed",
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"register_commands",
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"skip_csrf"
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]
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},
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{
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"name": "datasette.facets",
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"static": false,
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"templates": false,
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"version": null,
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"hooks": [
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"register_facet_classes"
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]
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},
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{
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"name": "datasette.filters",
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"static": false,
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"templates": false,
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"version": null,
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"hooks": [
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"filters_from_request"
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]
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},
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{
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"name": "datasette.forbidden",
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"static": false,
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"templates": false,
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"version": null,
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"hooks": [
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"forbidden"
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]
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},
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{
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"name": "datasette.handle_exception",
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"static": false,
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"templates": false,
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"version": null,
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"hooks": [
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"handle_exception"
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]
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},
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{
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"name": "datasette.publish.cloudrun",
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"static": false,
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"templates": false,
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"version": null,
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"hooks": [
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"publish_subcommand"
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]
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},
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{
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"name": "datasette.publish.heroku",
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"static": false,
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"templates": false,
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"version": null,
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"hooks": [
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"publish_subcommand"
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]
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},
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{
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"name": "datasette.sql_functions",
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"static": false,
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"templates": false,
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"version": null,
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"hooks": [
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"prepare_connection"
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]
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}
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]
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.. [[[end]]]
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You can add the ``--plugins-dir=`` option to include any plugins found in that directory.
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.. _plugins_configuration:
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Plugin configuration
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--------------------
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Plugins can have their own configuration, embedded in a :ref:`metadata` file. Configuration options for plugins live within a ``"plugins"`` key in that file, which can be included at the root, database or table level.
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Here is an example of some plugin configuration for a specific table:
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.. code-block:: json
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{
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"databases": {
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"sf-trees": {
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"tables": {
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"Street_Tree_List": {
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"plugins": {
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"datasette-cluster-map": {
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"latitude_column": "lat",
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"longitude_column": "lng"
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}
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}
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}
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}
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}
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}
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}
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This tells the ``datasette-cluster-map`` column which latitude and longitude columns should be used for a table called ``Street_Tree_List`` inside a database file called ``sf-trees.db``.
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.. _plugins_configuration_secret:
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Secret configuration values
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~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Any values embedded in ``metadata.json`` will be visible to anyone who views the ``/-/metadata`` page of your Datasette instance. Some plugins may need configuration that should stay secret - API keys for example. There are two ways in which you can store secret configuration values.
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**As environment variables**. If your secret lives in an environment variable that is available to the Datasette process, you can indicate that the configuration value should be read from that environment variable like so:
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.. code-block:: json
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{
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"plugins": {
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"datasette-auth-github": {
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"client_secret": {
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"$env": "GITHUB_CLIENT_SECRET"
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}
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}
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}
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}
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**As values in separate files**. Your secrets can also live in files on disk. To specify a secret should be read from a file, provide the full file path like this:
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.. code-block:: json
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{
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"plugins": {
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"datasette-auth-github": {
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"client_secret": {
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"$file": "/secrets/client-secret"
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}
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}
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}
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}
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If you are publishing your data using the :ref:`datasette publish <cli_publish>` family of commands, you can use the ``--plugin-secret`` option to set these secrets at publish time. For example, using Heroku you might run the following command::
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$ datasette publish heroku my_database.db \
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--name my-heroku-app-demo \
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--install=datasette-auth-github \
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--plugin-secret datasette-auth-github client_id your_client_id \
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--plugin-secret datasette-auth-github client_secret your_client_secret
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This will set the necessary environment variables and add the following to the deployed ``metadata.json``:
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.. code-block:: json
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{
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"plugins": {
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"datasette-auth-github": {
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"client_id": {
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"$env": "DATASETTE_AUTH_GITHUB_CLIENT_ID"
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},
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"client_secret": {
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"$env": "DATASETTE_AUTH_GITHUB_CLIENT_SECRET"
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}
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}
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}
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}
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