Provides a lightweight client to communicate with Datavore server. The client support download to pandas Dataframe, and a grpc endpoint to publish Datasource to Datavore Server.

dv_pyclient.auth : Handle authenticating to the Datavore server. Authentication is via username and password. The client creates a session object that is used by other packages to fetch or publish data

_dv_pyclient.client : Handle the fetch data from server and transform to Dataframe function. It also the user libs to publish data to Datavore Server

dv_pyclinet.<other_packages> : Supporting code that implements the grpc protocol to move data into and out of Datavore Server.

Ugh!. Python best practices we know. We are not expert python developers!!!

• Install Git
• Install your favorite Python virtual env or Conda to avoid dependency hell

• Clone this repo
• Make a virtual env in a directory outside the project dir

python -m venv /path-to-create-environment-in
source /path-to-create-environment-in/bin/activate

OR

Install deps

pip install -r requirements_dev.txt
make install

• Develop locally python setup.py develop

• Install bumpversion and twine
• Bump version if your are getting read to release a version. Note: For development, just delete the dist/*

bumpversion patch 

See bumpversion options

• To install a release into your local environment use pip and point it to the build you want to install

make dist
pip install dist/dv_pyclient-XXX.tar.gz

• Upload to PyPi

twine upload --repository-url https://upload.pypi.org/legacy/ dist/*
user: sanjayvenkat2000
pass: asksanjay