Metadata-Version: 2.1
Name: datasette-saved-queries
Version: 0.2
Summary: Datasette plugin that lets users save and execute queries
Home-page: https://github.com/simonw/datasette-saved-queries
Author: Simon Willison
License: Apache License, Version 2.0
Project-URL: Issues, https://github.com/simonw/datasette-saved-queries/issues
Project-URL: CI, https://github.com/simonw/datasette-saved-queries/actions
Project-URL: Changelog, https://github.com/simonw/datasette-saved-queries/releases
Description: # datasette-saved-queries
        
        [![PyPI](https://img.shields.io/pypi/v/datasette-saved-queries.svg)](https://pypi.org/project/datasette-saved-queries/)
        [![Changelog](https://img.shields.io/github/v/release/simonw/datasette-saved-queries?label=changelog)](https://github.com/simonw/datasette-saved-queries/releases)
        [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/datasette-saved-queries/blob/master/LICENSE)
        
        Datasette plugin that lets users save and execute queries
        
        ## Installation
        
        Install this plugin in the same environment as Datasette.
        
            $ pip install datasette-saved-queries
        
        ## Usage
        
        When the plugin is installed Datasette will automatically create a `saved_queries` table in the first connected database when it starts up.
        
        It also creates a `save_query` writable canned query which you can use to save new queries.
        
        Queries that you save will be added to the query list on the database page.
        
        ## Development
        
        To set up this plugin locally, first checkout the code. Then create a new virtual environment:
        
            cd datasette-saved-queries
            python -mvenv venv
            source venv/bin/activate
        
        Or if you are using `pipenv`:
        
            pipenv shell
        
        Now install the dependencies and tests:
        
            pip install -e '.[test]'
        
        To run the tests:
        
            pytest
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
Provides-Extra: test
