Metadata-Version: 2.1
Name: leonardorpires
Version: 2.5.1
Summary: This library provides tools for building Extract, Transform, and Load modules using Apache Spark and Pandas. It is a central framework to help create Data Pipeline and Machine Learning Models. 
Home-page: https://github.com/cervejaria-ambev/pyiris
Author: Iris - Data Platform Team
Requires-Python: >=3.8.0,<3.9.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: Office365-REST-Python-Client (==2.3.9)
Requires-Dist: SQLAlchemy (==1.4.9)
Requires-Dist: azure-identity (==1.5.0)
Requires-Dist: azure-keyvault-secrets (==4.2.0)
Requires-Dist: azure-servicebus (==7.8.0)
Requires-Dist: cerberus (==1.3.2)
Requires-Dist: datadog (==0.44.0)
Requires-Dist: loguru (==0.6.0)
Requires-Dist: mlflow (==1.25.1)
Requires-Dist: pandas (==1.3.5)
Requires-Dist: pika (==1.2.0)
Requires-Dist: protobuf (==3.20.0)
Requires-Dist: psycopg2-binary (==2.8.6)
Requires-Dist: pymsteams (==0.2.1)
Requires-Dist: python-semantic-release (==7.31.4)
Requires-Dist: pyyaml (==5.4.1)
Requires-Dist: smbprotocol (==1.8.3)
Requires-Dist: sphinx (==5.0.0)
Requires-Dist: sqlalchemy-utils (==0.38.2)
Requires-Dist: toml (==0.10.0)
Requires-Dist: trino (==0.305.0)
Project-URL: Repository, https://github.com/cervejaria-ambev/pyiris
Description-Content-Type: text/markdown

# PyIris

[![Travis](https://img.shields.io/travis/compbiocore/cbc-documentation-templates.svg?style=flat-square)](https://travis-ci.org/compbiocore/cbc-documentation-templates)
[![Coverage](https://img.shields.io/coveralls/github/jekyll/jekyll.svg?style=flat-square)](http://www.coverage.com) 
[![Docs](https://img.shields.io/badge/docs-stable-blue.svg?style=flat-square)](https://compbiocore.github.io/cbc-documentation-templates)

This library provides tools for building Extract, Transform, and Load modules using Apache Spark and Pandas. It is a central framework to help create Data Pipeline and Machine Learning Models.

To understand the main concepts and the main features you can check [PyIris Documentation][15], which is hosted by Read the Docs.

To learn how to use Pyiris, see [code examples][16].

## Contributing
All contributions are welcome! Feel free to open Pull Requests. Check the development and [Contributing Guidelines][13].

## Bugs/Issues Reporting
For reporting unexpected behaviour in API, open issues on the [Iris Customer Board][12]. 

## Owners
This project is maintained by Iris Data Platform Team.
You can find us in [Teams][14]. Please, don't hesitate to reach us if you have any questions.

[1]: https://github.com/cervejaria-ambev/pyiris/tree/master/docs
[2]: https://github.com/cervejaria-ambev/pyiris/tree/master/examples 
[3]: https://github.com/cervejaria-ambev/pyiris/blob/master/CONTRIBUTING.md
[4]: https://dev.azure.com/AMBEV-SA/IRIS-Analytics%20Platform/_boards/board/t/AnalyticsTeam/Customer%20Service
[5]: https://teams.microsoft.com/l/channel/19%3addd4f0795de14bc9a29bc25638e789b9%40thread.tacv2/%255BIris%255D%2520-%2520Data%2520Ingestion?groupId=a1e63d39-3fbc-4957-9478-b6063de0ebca&tenantId=cef04b19-7776-4a94-b89b-375c77a8f936
[1]: https://www.jetbrains.com/pycharm/
[2]: https://code.visualstudio.com/
[3]: https://www.python.org/downloads/release/python-370/
[4]: http://gnuwin32.sourceforge.net/packages/make.htm
[5]: https://pypi.org/project/pip/
[6]: https://azure.microsoft.com/pt-br/services/devops/
[7]: https://python-semantic-release.readthedocs.io/en/latest/index.html
[8]: https://github.com/cervejaria-ambev/pyiris/releases
[9]: https://github.com/angular/angular.js/blob/master/DEVELOPERS.md#-git-commit-guidelines
[10]: https://pypi.org/project/commitizen/
[11]: https://www.conventionalcommits.org/en/v1.0.0-beta.2/
[12]: https://dev.azure.com/AMBEV-SA/IRIS-Analytics%20Platform/_boards/board/t/AnalyticsTeam/Customer%20Service
[13]: https://github.com/cervejaria-ambev/pyiris/blob/master/CONTRIBUTING.md
[14]: https://teams.microsoft.com/l/channel/19%3addd4f0795de14bc9a29bc25638e789b9%40thread.tacv2/%255BIris%255D%2520-%2520Data%2520Ingestion?groupId=a1e63d39-3fbc-4957-9478-b6063de0ebca&tenantId=cef04b19-7776-4a94-b89b-375c77a8f936
[15]: https://stpyiris.z13.web.core.windows.net/index.html
[16]: https://medium.com/@Web_Bailey/github-feature-branch-workflow-db3b24535d53
[17]: https://www.python.org/dev/peps/pep-0257/
[18]: https://pypi.org/project/pycodestyle/#description
[19]: https://github.com/psf/black
[20]: https://pycqa.github.io/isort/
[21]: https://flake8.pycqa.org/en/latest/index.html

