# datasette-enrichments
[![PyPI](https://img.shields.io/pypi/v/datasette-enrichments.svg)](https://pypi.org/project/datasette-enrichments/)
[![Changelog](https://img.shields.io/github/v/release/simonw/datasette-enrichments?include_prereleases&label=changelog)](https://github.com/simonw/datasette-enrichments/releases)
[![Tests](https://github.com/simonw/datasette-enrichments/workflows/Test/badge.svg)](https://github.com/simonw/datasette-enrichments/actions?query=workflow%3ATest)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/datasette-enrichments/blob/main/LICENSE)
Tools for running enrichments against data stored in Datasette
Potential use-cases for enrichments include:
- Geocoding an address and populating a latitude and longitude column
- Executing a template to generate output based on the values in each row
- Fetching data from a URL and populating a column with the result
- Executing OCR against a linked image or PDF file
Documentation for this plugin lives at **[enrichments.datasette.io](https://enrichments.datasette.io/)**.
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
```bash
cd datasette-enrichments
python3 -mvenv venv
source venv/bin/activate
```
Or if you are using `pipenv`:
```bash
pipenv shell
```
Now install the dependencies and test dependencies:
```bash
pip install -e '.[test]'
```
To run the tests:
```bash
pytest
```
Raw data
{
"_id": null,
"home_page": "https://github.com/simonw/datasette-enrichments",
"name": "datasette-enrichments",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": null,
"keywords": null,
"author": "Simon Willison",
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/32/8d/ab544ca456a0c16009207800aa164383061c35ea3671a5230b8fe0517eac/datasette_enrichments-0.4.2.tar.gz",
"platform": null,
"description": "# datasette-enrichments\n\n[![PyPI](https://img.shields.io/pypi/v/datasette-enrichments.svg)](https://pypi.org/project/datasette-enrichments/)\n[![Changelog](https://img.shields.io/github/v/release/simonw/datasette-enrichments?include_prereleases&label=changelog)](https://github.com/simonw/datasette-enrichments/releases)\n[![Tests](https://github.com/simonw/datasette-enrichments/workflows/Test/badge.svg)](https://github.com/simonw/datasette-enrichments/actions?query=workflow%3ATest)\n[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/datasette-enrichments/blob/main/LICENSE)\n\nTools for running enrichments against data stored in Datasette\n\nPotential use-cases for enrichments include:\n\n- Geocoding an address and populating a latitude and longitude column\n- Executing a template to generate output based on the values in each row\n- Fetching data from a URL and populating a column with the result\n- Executing OCR against a linked image or PDF file\n\nDocumentation for this plugin lives at **[enrichments.datasette.io](https://enrichments.datasette.io/)**.\n\n## Development\n\nTo set up this plugin locally, first checkout the code. Then create a new virtual environment:\n```bash\ncd datasette-enrichments\npython3 -mvenv venv\nsource venv/bin/activate\n```\nOr if you are using `pipenv`:\n```bash\npipenv shell\n```\nNow install the dependencies and test dependencies:\n```bash\npip install -e '.[test]'\n```\nTo run the tests:\n```bash\npytest\n```\n",
"bugtrack_url": null,
"license": "Apache License, Version 2.0",
"summary": "Tools for running enrichments against data stored in Datasette",
"version": "0.4.2",
"project_urls": {
"CI": "https://github.com/simonw/datasette-enrichments/actions",
"Changelog": "https://github.com/simonw/datasette-enrichments/releases",
"Homepage": "https://github.com/simonw/datasette-enrichments",
"Issues": "https://github.com/simonw/datasette-enrichments/issues"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "09c5276ada43496e0c39ff1a7b0e97829c185c92f0d4baf71c81f0c10039a25c",
"md5": "777b648e4e31f724d73bb1c5184c98e7",
"sha256": "28ae87b2cd03f3b23cd6d70aca8998c6dc4457b777ac23ad662d65fc865b8eac"
},
"downloads": -1,
"filename": "datasette_enrichments-0.4.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "777b648e4e31f724d73bb1c5184c98e7",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.7",
"size": 15981,
"upload_time": "2024-04-27T22:45:08",
"upload_time_iso_8601": "2024-04-27T22:45:08.730208Z",
"url": "https://files.pythonhosted.org/packages/09/c5/276ada43496e0c39ff1a7b0e97829c185c92f0d4baf71c81f0c10039a25c/datasette_enrichments-0.4.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "328dab544ca456a0c16009207800aa164383061c35ea3671a5230b8fe0517eac",
"md5": "a75ef09e8051aaed49584ba23f1a5cff",
"sha256": "6b1658189bc33971b3efb682a2e58af626be2f4fecb1aa8af2a73b7c170faccc"
},
"downloads": -1,
"filename": "datasette_enrichments-0.4.2.tar.gz",
"has_sig": false,
"md5_digest": "a75ef09e8051aaed49584ba23f1a5cff",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7",
"size": 17086,
"upload_time": "2024-04-27T22:45:10",
"upload_time_iso_8601": "2024-04-27T22:45:10.383463Z",
"url": "https://files.pythonhosted.org/packages/32/8d/ab544ca456a0c16009207800aa164383061c35ea3671a5230b8fe0517eac/datasette_enrichments-0.4.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-04-27 22:45:10",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "simonw",
"github_project": "datasette-enrichments",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "datasette-enrichments"
}