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.
1 maintainer
Metadata
1 maintainer
Release files for datacoco-batch 0.1.2
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