| Name | datasette-enrichments-re2 JSON |
| Version |
0.1
JSON |
| download |
| home_page | |
| Summary | Enrich data using regular expressions |
| upload_time | 2023-11-30 02:13:42 |
| maintainer | |
| docs_url | None |
| author | Simon Willison |
| requires_python | >=3.8 |
| license | Apache-2.0 |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# datasette-enrichments-re2
[](https://pypi.org/project/datasette-enrichments-re2/)
[](https://github.com/datasette/datasette-enrichments-re2/releases)
[](https://github.com/datasette/datasette-enrichments-re2/actions?query=workflow%3ATest)
[](https://github.com/datasette/datasette-enrichments-re2/blob/main/LICENSE)
Enrich data using regular expressions
## Installation
Install this plugin in the same environment as Datasette.
```bash
datasette install datasette-enrichments-re2
```
## Usage
This enrichment allows you to run a regular expression against a column and perform one of the following:
- Execute a search and replace against that column
- Extract the first matching result and store that in the specified column (adding a column if necessary)
- Extract all matching results and store them as a JSON array in the specified column. If the regular expression uses named capture groups this will be an array of objects, otherwise it will be an array of strings.
- Execute a regular expression with named capture groups and store the results in multiple columns, one for each of those named groups
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
```bash
cd datasette-enrichments-re2
python3 -m venv venv
source venv/bin/activate
```
Now install the dependencies and test dependencies:
```bash
pip install -e '.[test]'
```
To run the tests:
```bash
pytest
```
Raw data
{
"_id": null,
"home_page": "",
"name": "datasette-enrichments-re2",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": "",
"keywords": "",
"author": "Simon Willison",
"author_email": "",
"download_url": "https://files.pythonhosted.org/packages/f2/f8/c6251040335b85a5179133fb81d38bc5a388f757cf1c37848363f90de52f/datasette-enrichments-re2-0.1.tar.gz",
"platform": null,
"description": "# datasette-enrichments-re2\n\n[](https://pypi.org/project/datasette-enrichments-re2/)\n[](https://github.com/datasette/datasette-enrichments-re2/releases)\n[](https://github.com/datasette/datasette-enrichments-re2/actions?query=workflow%3ATest)\n[](https://github.com/datasette/datasette-enrichments-re2/blob/main/LICENSE)\n\nEnrich data using regular expressions\n\n## Installation\n\nInstall this plugin in the same environment as Datasette.\n```bash\ndatasette install datasette-enrichments-re2\n```\n## Usage\n\nThis enrichment allows you to run a regular expression against a column and perform one of the following:\n\n- Execute a search and replace against that column\n- Extract the first matching result and store that in the specified column (adding a column if necessary)\n- Extract all matching results and store them as a JSON array in the specified column. If the regular expression uses named capture groups this will be an array of objects, otherwise it will be an array of strings.\n- Execute a regular expression with named capture groups and store the results in multiple columns, one for each of those named groups\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-re2\npython3 -m venv venv\nsource venv/bin/activate\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-2.0",
"summary": "Enrich data using regular expressions",
"version": "0.1",
"project_urls": {
"CI": "https://github.com/datasette/datasette-enrichments-re2/actions",
"Changelog": "https://github.com/datasette/datasette-enrichments-re2/releases",
"Homepage": "https://github.com/datasette/datasette-enrichments-re2",
"Issues": "https://github.com/datasette/datasette-enrichments-re2/issues"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "7b622faf00138b8700a71522f851513d7b4f646114b777236939c04a45d01c5c",
"md5": "d6ad6e03d94504f7ce482de1c9a02bec",
"sha256": "08a854ee3d9359e31e9760af036f66c9cc0a47a04bbc79f3aa477be802ce6ca3"
},
"downloads": -1,
"filename": "datasette_enrichments_re2-0.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "d6ad6e03d94504f7ce482de1c9a02bec",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 8824,
"upload_time": "2023-11-30T02:13:41",
"upload_time_iso_8601": "2023-11-30T02:13:41.651462Z",
"url": "https://files.pythonhosted.org/packages/7b/62/2faf00138b8700a71522f851513d7b4f646114b777236939c04a45d01c5c/datasette_enrichments_re2-0.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "f2f8c6251040335b85a5179133fb81d38bc5a388f757cf1c37848363f90de52f",
"md5": "fab41c7ae909398554efcf2ca894cb69",
"sha256": "9fc84c940cca541ab5b697356cdb162a6fc1d46d2097431ceb4e74b3af8d6b5e"
},
"downloads": -1,
"filename": "datasette-enrichments-re2-0.1.tar.gz",
"has_sig": false,
"md5_digest": "fab41c7ae909398554efcf2ca894cb69",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 9010,
"upload_time": "2023-11-30T02:13:42",
"upload_time_iso_8601": "2023-11-30T02:13:42.622245Z",
"url": "https://files.pythonhosted.org/packages/f2/f8/c6251040335b85a5179133fb81d38bc5a388f757cf1c37848363f90de52f/datasette-enrichments-re2-0.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-11-30 02:13:42",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "datasette",
"github_project": "datasette-enrichments-re2",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "datasette-enrichments-re2"
}
