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