Metadata-Version: 2.1
Name: pydproc
Version: 1.0
Summary: A useful module
Home-page: https://github.com/vladov3000/pydproc
Author: Vladimir Oveckin, Robert Burris, Andrew Wu
Author-email: vladov3000@gmail.com
License: MIT
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: pyyaml
Requires-Dist: click
Requires-Dist: docker

# pydproc

pydproc is python3 package that provides a simple to use command line interface for periodic data retrieval from APIs. Using inputs from a YAML, pydproc builds a new Docker image specific to that process. The user can then run, stop, and restart these processes for pydproc to start collecting data. When the user wants this data, they can easily retrieve it along with the run logs. This can help generate new datasets for Machine Learning projects as it simplifies and automates the process of data collection from APIs.

## Installation

Pydproc can be installed using pip:

    pip install pydproc

## Getting Started

Talk about basic commands here.

## Contributing

Please read [CONTRIBUTING.md](CONTRIBUTING.md) for details on our code of conduct, and the process for submitting pull requests to us.

## Authors

* **Vladimir Ovechkin** - *Project setup, Initial work, Managing TODOs, Packaging* - University of Washington
* **Robert Burris** - *YAML processing, Data field validation, API data parsing* - University of Washington
* **Andrew Wu** - *Initial work* - University of Washington

See also the list of [contributors](https://github.com/your/project/contributors) who participated in this project.

## License

This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details

## Acknowledgments

* Hat tip to anyone whose code was used
* Inspiration
* etc


