home / content / pypi_packages

pypi_packages: datasette-query-files

This data as json

name summary classifiers description author author_email description_content_type home_page keywords license maintainer maintainer_email package_url platform project_url project_urls release_url requires_dist requires_python version yanked yanked_reason
datasette-query-files Write Datasette canned queries as plain SQL files ["Framework :: Datasette", "License :: OSI Approved :: Apache Software License"] # datasette-query-files [![PyPI](https://img.shields.io/pypi/v/datasette-query-files.svg)](https://pypi.org/project/datasette-query-files/) [![Changelog](https://img.shields.io/github/v/release/eyeseast/datasette-query-files?include_prereleases&label=changelog)](https://github.com/eyeseast/datasette-query-files/releases) [![Tests](https://github.com/eyeseast/datasette-query-files/workflows/Test/badge.svg)](https://github.com/eyeseast/datasette-query-files/actions?query=workflow%3ATest) [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/eyeseast/datasette-query-files/blob/main/LICENSE) Write Datasette canned queries as plain SQL files. ## Installation Install this plugin in the same environment as Datasette. datasette install datasette-query-files Or using `pip` or `pipenv`: pip install datasette-query-files pipenv install datasette-query-files ## Usage This plugin will look for [canned queries](https://docs.datasette.io/en/stable/sql_queries.html#canned-queries) in the filesystem, in addition any defined in metadata. Let's say you're working in a directory called `project-directory`, with a database file called `my-project.db`. Start by creating a `queries` directory with a `my-project` directory inside it. Any SQL file inside that `my-project` folder will become a canned query that can be run on the `my-project` database. If you have a `query-name.sql` file and a `query-name.json` (or `query-name.yml`) file in the same directory, the JSON file will be used as query metadata. ``` project-directory/ my-project.db queries/ my-project/ query-name.sql # a query query-name.yml # query metadata ``` ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-query-files python3 -m venv venv source venv/bin/activate Now install the dependencies and test dependencies: pip install -e '.[test]' To run the tests: pytest Chris Amico   text/markdown https://github.com/eyeseast/datasette-query-files   Apache License, Version 2.0     https://pypi.org/project/datasette-query-files/   https://pypi.org/project/datasette-query-files/ {"CI": "https://github.com/eyeseast/datasette-query-files/actions", "Changelog": "https://github.com/eyeseast/datasette-query-files/releases", "Homepage": "https://github.com/eyeseast/datasette-query-files", "Issues": "https://github.com/eyeseast/datasette-query-files/issues"} https://pypi.org/project/datasette-query-files/0.1.1/ ["datasette", "pytest ; extra == 'test'", "pytest-asyncio ; extra == 'test'"] >=3.7 0.1.1 0  

Links from other tables

  • 2 rows from package in pypi_versions
  • 4 rows from package in pypi_releases
Powered by Datasette · Queries took 1.009ms