django-harlequin 1.7.0
Launch Harlequin, the SQL IDE for your Terminal, with your Django database configuration.
Requires Python: >=3.9
Keywords: Django

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django-harlequin
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Launch `Harlequin <https://harlequin.sh/>`__, the SQL IDE for your Terminal, with your Django database configuration.

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Requirements
============

Python 3.9 to 3.14 supported.

Django 4.2 to 6.0 supported.

Supported database backends: MariaDB/MySQL, PostgreSQL, SQLite.

Installation
============

**First,** install with pip:

.. code-block:: bash

    python -m pip install django-harlequin

**Second,** install Harlequin with appropriate Harlequin `adapter packages <https://harlequin.sh/docs/adapters>`__ for the database backends you use.
For example, to install Harlequin with the `PostgreSQL adapter <https://harlequin.sh/docs/postgres/index>`__:

.. code-block:: bash

    python -m pip install 'harlequin[postgres]'

Harlequin does not need to be installed in the same virtual environment as Django, as django-harlequin does not import it.
You only need the ``harlequin`` command on your path, so you can install Harlequin globally, or in an isolated virtual environment with a tool like `pipx <https://pipx.pypa.io/latest/installation/>`__.

**Third,** add the app to your ``INSTALLED_APPS`` setting:

.. code-block:: python

    INSTALLED_APPS = [
        ...,
        "django_harlequin",
        ...,
    ]

Usage
=====

``harlequin`` command
---------------------

Run the ``harlequin`` management command to launch Harlequin, connected to your default database:

.. code-block:: console

    $ ./manage.py harlequin

Pass ``--database`` to select a different database connection from ``settings.DATABASES``:

.. code-block:: console

    $ ./manage.py harlequin --database replica

Extra options, optionally after a ``--`` delimiter, will be passed through to Harlequin.
For example, to read its help page, as opposed to that of the management command:

.. code-block:: console

    $ ./manage.py harlequin -- --help

Configuration
=============

Harlequin automatically loads configuration from ``pyproject.toml`` or its own files within the current working directory, which would mean next to your ``manage.py`` file.
See Harlequin’s `configuration documentation <https://harlequin.sh/docs/config-file>`__ for details on the available options.