sqlite-utils/docs/plugins.rst

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.. _plugins:
=========
Plugins
=========
``sqlite-utils`` supports plugins, which can be used to add extra features to the software.
Plugins can add new commands, for example ``sqlite-utils some-command ...``
Plugins can be installed using the ``sqlite-utils install`` command:
.. code-block:: bash
sqlite-utils install sqlite-utils-name-of-plugin
You can see a JSON list of plugins that have been installed by running this:
.. code-block:: bash
sqlite-utils plugins
Plugin hooks such as :ref:`plugins_hooks_prepare_connection` affect each instance of the ``Database`` class. You can opt-out of these plugins by creating that class instance like so:
.. code-block:: python
db = Database(memory=True, execute_plugins=False)
.. _plugins_building:
Building a plugin
-----------------
Plugins are created in a directory named after the plugin. To create a "hello world" plugin, first create a ``hello-world`` directory:
.. code-block:: bash
mkdir hello-world
cd hello-world
In that folder create two files. The first is a ``pyproject.toml`` file describing the plugin:
.. code-block:: toml
[project]
name = "sqlite-utils-hello-world"
version = "0.1"
[project.entry-points.sqlite_utils]
hello_world = "sqlite_utils_hello_world"
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The ``[project.entry-points.sqlite_utils]`` section tells ``sqlite-utils`` which module to load when executing the plugin.
Then create ``sqlite_utils_hello_world.py`` with the following content:
.. code-block:: python
import click
import sqlite_utils
@sqlite_utils.hookimpl
def register_commands(cli):
@cli.command()
def hello_world():
"Say hello world"
click.echo("Hello world!")
Install the plugin in "editable" mode - so you can make changes to the code and have them picked up instantly by ``sqlite-utils`` - like this:
.. code-block:: bash
sqlite-utils install -e .
Or pass the path to your plugin directory:
.. code-block:: bash
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sqlite-utils install -e /dev/sqlite-utils-hello-world
Now, running this should execute your new command:
.. code-block:: bash
sqlite-utils hello-world
Your command will also be listed in the output of ``sqlite-utils --help``.
See the `LLM plugin documentation <https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#distributing-your-plugin>`__ for tips on distributing your plugin.
.. _plugins_hooks:
Plugin hooks
------------
Plugin hooks allow ``sqlite-utils`` to be customized.
.. _plugins_hooks_register_commands:
register_commands(cli)
~~~~~~~~~~~~~~~~~~~~~~
This hook can be used to register additional commands with the ``sqlite-utils`` CLI. It is called with the ``cli`` object, which is a ``click.Group`` instance.
Example implementation:
.. code-block:: python
import click
import sqlite_utils
@sqlite_utils.hookimpl
def register_commands(cli):
@cli.command()
def hello_world():
"Say hello world"
click.echo("Hello world!")
New commands implemented by plugins can invoke existing commands using the `context.invoke <https://click.palletsprojects.com/en/stable/api/#click.Context.invoke>`__ mechanism.
As a special niche feature, if your plugin needs to import some files and then act against an in-memory database containing those files you can forward to the :ref:`sqlite-utils memory command <cli_memory>` and then access a named in-memory database called ``sqlite_utils_memory`` like this:
.. code-block:: python
from contextlib import redirect_stdout
import io
@cli.command()
@click.pass_context
@click.argument(
"paths",
type=click.Path(file_okay=True, dir_okay=False, allow_dash=True),
required=False,
nargs=-1,
)
def show_schema_for_files(ctx, paths):
from sqlite_utils.cli import memory
with redirect_stdout(io.StringIO()):
ctx.invoke(memory, paths=paths, sql="select 1")
db = sqlite_utils.Database(memory_name="sqlite_utils_memory")
# Now do something with that database
click.echo(db.schema)
.. _plugins_hooks_prepare_connection:
prepare_connection(conn)
~~~~~~~~~~~~~~~~~~~~~~~~
This hook is called when a new SQLite database connection is created. You can
use it to `register custom SQL functions <https://docs.python.org/2/library/sqlite3.html#sqlite3.Connection.create_function>`_,
aggregates and collations. For example:
.. code-block:: python
import sqlite_utils
@sqlite_utils.hookimpl
def prepare_connection(conn):
conn.create_function(
"hello", 1, lambda name: f"Hello, {name}!"
)
This registers a SQL function called ``hello`` which takes a single
argument and can be called like this:
.. code-block:: sql
select hello("world"); -- "Hello, world!"