Data common code for batch workflows by Equinox
Project description
Batch is a simple interface for managing the state of jobs and workflows in batchy microservice.
Installation
datacoco-batch requires Python 3.6+
python3 -m venv <virtual env name> source <virtual env name>/bin/activate pip install datacoco-batch
Quickstart
self.batchy = Batch( wf=test_workflow, server="server.com", port="80", ) self.batchy.open() self.batchy.get_status() self.batchy.close()
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" } }
Development
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
Testing
pip install -r requirements-dev.txt
To run the testing suite, simply run the command: tox or python -m unittest discover tests
Contributing
Contributions to datacoco_batch are welcome!
Please reference guidelines to help with setting up your development environment here.
Project details
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