lagoon-python 1.0.0

Client for lagoon. An inmemory and highly concurrent bloom filter service based on json-rpc.

lagoon-python

lagoon-python is the official Python client for lagoon, aAn inmemory and highly concurrent bloom filter service based on json-rpc.

You can setup lagoon service: refer - https://raw.githubusercontent.com/sourcepirate/lagoon/master/README.md

Installation

lagoon-python supports:

• Python (3.5, 3.6, 3.7, 3.8)

Install from Pypi

pip install lagoon-python

Usage

# Create a new client
import lagoon
client = lagoon.connect('YOUR_LAGOON_HOSTNAME', 'LAGOON_SERVICE_PORT')

# Create a collection
collection1 = client.create_collection("collection1")

# create a key in the collection
client.set_key("collection1", "key1")

# check if a key exist in the collection
client.has_key("collection1", "key1")

# delete collection
client.delete_collection("collection1")


### Contributing

First, make sure you can run the test suite. Tests are run via py.test

Install test requirements

```bash
pip install .[test]

py.test
# with coverage
py.test --cov lagoon --cov-report html

Install black and flake8

pip install .[ci]

Install git hooks to avoid pushing invalid code (git commit will run black and flake8)

Releasing a new version

In order to release new version you need to be a maintainer on Pypi.

• Update CHANGELOG
• Update the version on setup.py
• Commit and push to Github
• Create a new tag for the version (eg. v1.1.0)
• Create a new dist with python python setup.py sdist
• Upload the new distributable with twine twine upload dist/lagoon-python-VERSION-NAME.tar.gz

If unsure you can also test using the Pypi test servers twine upload --repository-url https://test.pypi.org/legacy/ dist/lagoon-python-VERSION-NAME.tar.gz