cortex-python-profiles 1.3.0a1

Profile of 1 Extension for the Base Python Module of the Cortex Cognitive Platform

Profile of 1 Extension for the Base Python Module of the Cortex Cognitive Platform

[cortex-python][https://github.com/CognitiveScale/cortex-python] The Cortex Python Profiles module extends the Base Python Module of the Cortex Cognitive Platform with Profile of 1 related functionality.

Refer to the Cortex documentation for details on how to use the library:

• Developer guide: https://docs.cortex.insights.ai/docs/developer-guide/overview/
• Cortex Python references: https://docs.cortex.insights.ai/docs/developer-guide/reference-guides

Installation

To install:

  > pip install cortex-python-profiles

or from source code:

  > git clone [e-mail]:CognitiveScale/cortex-python-profiles.git
  > cd cortex-python-profiles
  > pip install -e .

Development

Setup

When developing, it's a best practice to work in a virtual environment. Create and activate a virtual environment:

  > virtualenv --python=python3.8 _venv
  > source _venv/bin/activate

Install developer dependencies:

  > git clone [e-mail]:CognitiveScale/cortex-python-profiles.git
  > cd cortex-python-profiles
  > make dev.install

There's a convenience Makefile that has commands to common tasks, such as build, test, etc. Use it!

Testing

Unit Tests

Follow above setup instructions (making sure to be in the virtual environment and having the necessary dependencies)

• make test to run test suite

To run an individual file or class method, use pytest. Example tests shown below:

• file: pytest test/unit/profiles_test.py
• class method: pytest test/unit/profiles_test.py::TestProfile::test_list_schemas_with_client

Publishing an alpha build

Suppose you want to release new functionality so it can be installed without releasing a new official version. We need to use an alpha version in PyPi.

• we need to create and publish an alpha release:
• get credentials to the cortex-python pypi CognitiveScale account (via lastpass)
• run make dev.push TAG=<alpha release number>. Example: make dev.push TAG=1

Contribution

After contributing to the library, and before you submit changes as a PR, please do the following

1. Run unit tests via make test
2. Manually verification (i.e. try the new changes out in Cortex) to make sure everything is going well. Not required, but highly encouraged.
3. Bump up setup.py version and update the CHANGELOG.md

Documentation

Activate your virtual environment:

> source _venv/bin/activate

Setup your environment, if you have not done so:

> make dev.install 

The package documentation is built with Sphinx and generates versioned documentation for all tag matching the release/X.Y.Z pattern and for the master branch. To build the documentation:

> make docs.multi

The documentation will be rendered in HTML format under the docs/_build/${VERSION} directory.

Pre-release to staging

1. Create and push an alpha release:

   > make dev.push TAG=1
   

   Where TAG is the alpha version number. This will build an alpha-tagged package.
2. Merge develop to staging branch:

   > make stage
   

3. In GitHub, create a pull request from staging to master.