hdx-data-freshness-emailer


Namehdx-data-freshness-emailer JSON
Version 1.7.3 PyPI version JSON
download
home_pagehttps://github.com/OCHA-DAP/hdx-data-freshness-emailer
SummaryHDX Data Freshness Emailer
upload_time2023-01-30 02:14:12
maintainer
docs_urlNone
authorMichael Rans
requires_python>=3.7
licenseMIT
keywords hdx fresh. freshness emailer
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            [![Build Status](https://github.com/OCHA-DAP/hdx-data-freshness-emailer/workflows/build/badge.svg)](https://github.com/OCHA-DAP/hdx-data-freshness-emailer/actions?query=workflow%3Abuild)
[![Coverage Status](https://codecov.io/gh/OCHA-DAP/hdx-data-freshness-emailer/branch/main/graph/badge.svg?token=JpWZc5js4y)](https://codecov.io/gh/OCHA-DAP/hdx-data-freshness-emailer)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)

The HDX freshness emailer reads the HDX data freshness database and finds datasets whose status has changed. 
It sends emails to system administrators if the change is from overdue to delinquent or to maintainers if 
from due to overdue. It also alerts when there are new candidates for the data grid and reports datasets that 
are broken or which have invalid maintainers. An email is also sent for organisations with invalid 
administrators. 

For more information, please read the [documentation](https://hdx-data-freshness-emailer.readthedocs.io/en/latest/). 

This library is part of the [Humanitarian Data Exchange](https://data.humdata.org/) (HDX) project. If you have 
humanitarian related data, please upload your datasets to HDX.

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/OCHA-DAP/hdx-data-freshness-emailer",
    "name": "hdx-data-freshness-emailer",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.7",
    "maintainer_email": "",
    "keywords": "HDX,fresh. freshness,emailer",
    "author": "Michael Rans",
    "author_email": "rans@email.com",
    "download_url": "",
    "platform": "any",
    "description": "[![Build Status](https://github.com/OCHA-DAP/hdx-data-freshness-emailer/workflows/build/badge.svg)](https://github.com/OCHA-DAP/hdx-data-freshness-emailer/actions?query=workflow%3Abuild)\n[![Coverage Status](https://codecov.io/gh/OCHA-DAP/hdx-data-freshness-emailer/branch/main/graph/badge.svg?token=JpWZc5js4y)](https://codecov.io/gh/OCHA-DAP/hdx-data-freshness-emailer)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)\n\nThe HDX freshness emailer reads the HDX data freshness database and finds datasets whose status has changed. \nIt sends emails to system administrators if the change is from overdue to delinquent or to maintainers if \nfrom due to overdue. It also alerts when there are new candidates for the data grid and reports datasets that \nare broken or which have invalid maintainers. An email is also sent for organisations with invalid \nadministrators. \n\nFor more information, please read the [documentation](https://hdx-data-freshness-emailer.readthedocs.io/en/latest/). \n\nThis library is part of the [Humanitarian Data Exchange](https://data.humdata.org/) (HDX) project. If you have \nhumanitarian related data, please upload your datasets to HDX.\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "HDX Data Freshness Emailer",
    "version": "1.7.3",
    "split_keywords": [
        "hdx",
        "fresh. freshness",
        "emailer"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "e80fe2b80cbd19470b8b7862d1477d403c79a38e74d5e61ae215cf04303844ad",
                "md5": "a877d0157df0451050d5d92c0479399b",
                "sha256": "103e1ecc11a5b1ee06484c0181a2abfad49af45c52156e36525cde555c485ac5"
            },
            "downloads": -1,
            "filename": "hdx_data_freshness_emailer-1.7.3-py2.py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "a877d0157df0451050d5d92c0479399b",
            "packagetype": "bdist_wheel",
            "python_version": "py2.py3",
            "requires_python": ">=3.7",
            "size": 26384,
            "upload_time": "2023-01-30T02:14:12",
            "upload_time_iso_8601": "2023-01-30T02:14:12.284780Z",
            "url": "https://files.pythonhosted.org/packages/e8/0f/e2b80cbd19470b8b7862d1477d403c79a38e74d5e61ae215cf04303844ad/hdx_data_freshness_emailer-1.7.3-py2.py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-01-30 02:14:12",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "OCHA-DAP",
    "github_project": "hdx-data-freshness-emailer",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "requirements": [],
    "lcname": "hdx-data-freshness-emailer"
}
        
Elapsed time: 0.09000s