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cortex-python-profiles-1.3.0a1


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توضیحات

Profile of 1 Extension for the Base Python Module of the Cortex Cognitive Platform
ویژگی مقدار
سیستم عامل -
نام فایل cortex-python-profiles-1.3.0a1
نام cortex-python-profiles
نسخه کتابخانه 1.3.0a1
نگهدارنده []
ایمیل نگهدارنده []
نویسنده CognitiveScale
ایمیل نویسنده info@cognitivescale.com
آدرس صفحه اصلی https://github.com/CognitiveScale/cortex-python-profiles
آدرس اینترنتی https://pypi.org/project/cortex-python-profiles/
مجوز Apache License Version 2.0
# 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](cortex-python) 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 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 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`.


نیازمندی

مقدار نام
<2.0,>=1.4.0 cortex-python[builders]
<4.8,>=4.7.3 pydash
<0.13,>=0.12.1 arrow
>=0.23.4 pandas
==18.2.0 attrs
==0.6.1 objectpath
==2.0.6 deprecation
<3.11,>=3.10.1 pymongo
<2,>=1.12.1 twine
- setuptools
- wheel
- pipdeptree
==0.770 mypy
<3,>=2.3.0 pylint
<3,>=2 Sphinx
==0.2.4 sphinx-multiversion
==3.1.7 gitpython
==0.5.0 sphinx-rtd-theme
==0.2 sphinxcontrib-restbuilder
==5.4.0 nbconvert
==1.0 iso3166
==2.0.0 Faker
<3,>=2.5.0 mocket
<3,>=2 mock
- pipdeptree
<3,>=2.9.1 tox
==2.5.1 pytest-cov
<4,>=3.2.5 pytest
<2.0,>=1.4.0 cortex-python[jupyter]
- psutil


نحوه نصب


نصب پکیج whl cortex-python-profiles-1.3.0a1:

    pip install cortex-python-profiles-1.3.0a1.whl


نصب پکیج tar.gz cortex-python-profiles-1.3.0a1:

    pip install cortex-python-profiles-1.3.0a1.tar.gz