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Data common code for batch workflows by Equinox

Project description

PyPI Version Documentation Status Code Quality Grade Coverage Code of Conduct

Batch is a simple interface for managing the state of jobs and workflows in batchy microservice.


datacoco-batch requires Python 3.6+

python3 -m venv <virtual env name>
source <virtual env name>/bin/activate
pip install datacoco-batch


self.batchy = Batch(



Sample output

    "global": {
        "batch_id": "123456789",
        "status": "success",
        "failure_cnt": 0,
        "open_cnt": 2,
        "batch_start": "2020-01-17T06:58:01.234567",
        "batch_end": "2020-01-17T07:18:08.012345"


Getting Started

It is recommended to use the steps below to set up a virtual environment for development:

python3 -m venv <virtual env name>
source <virtual env name>/bin/activate
pip install -r requirements.txt


pip install -r requirements-dev.txt

To run the testing suite, simply run the command: tox or python -m unittest discover tests


Contributions to datacoco_batch are welcome!

Please reference guidelines to help with setting up your development environment here.

Project details

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