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:
Installation
To install:
> pip install cortex-python-profiles
or from source code:
> git clone git@github.com: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=python3.6 _venv
> source _venv/bin/activate
Install developer dependencies:
> git clone git@github.com: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/agent_test.py
- class method:
pytest test/unit/agent_test.py::TestAgent::test_get_agent
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
- Run unit tests via
make test
- Manually verification (i.e. try the new changes out in Cortex) to make sure everything is going well. Not required, but highly encouraged.
- 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
- 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. - Merge
develop
to staging
branch:
> make stage
- In GitHub, create a pull request from
staging
to master
.