A library of generic tools for ETL work and visualization of JSON blobs and python repositories
On the documentation main page, under the Architecture section, is a dynamically generated dependency graph of rolling-pin's current architecture. It is generated using the RepoETL class.
If you look under the Metrics section you will find Radon code metric plots and data of the rolling-pin source code, generated by the RadonETL class.
pip install rolling-pin
- Install docker
- Install docker-machine (if running on macOS or Windows)
- Ensure docker-machine has at least 4 GB of memory allocated to it.
chmod +x bin/rolling-pin
The service should take a few minutes to start up.
bin/rolling-pin --help for more help on the command line tool.
Conda Environment Creation
Running a conda environment is not recommended.
However, if you would still like to build one, do the following:
conda create -y -n rolling-pin-env python==3.7
source activate rolling-pin-env
pip install -r docker/dev_requirements.txt
pip install -r docker/prod_requirements.txt