Skip to main content

Domino Data API for interacting with Domino Data features

Project description

Domino Data API

Build status Python Version Dependencies Status

Code style: black Security: bandit Pre-commit Semantic Versions License

Domino Data API for interacting with Access Data features

Installation

pip install -U dominodatalab-data

or install with Poetry

poetry add dominodatalab-data

Makefile usage

Makefile contains a lot of functions for faster development.

1. Download and remove Poetry

To download and install Poetry run:

make poetry-download

To uninstall

make poetry-remove

2. Install all dependencies and pre-commit hooks

Install requirements:

make install

Pre-commit hooks coulb be installed after git init via

make pre-commit-install

3. Codestyle

Automatic formatting uses pyupgrade, isort and black.

make codestyle

# or use synonym
make formatting

Codestyle checks only, without rewriting files:

make check-codestyle

Note: check-codestyle uses isort, black and darglint library

4. Code security

make check-safety

This command launches Poetry integrity checks as well as identifies security issues with Safety and Bandit.

make check-safety

5. Type checks

Run mypy static type checker

make mypy

6. Tests

Run pytest

make test

7. All linters

Of course there is a command to rule run all linters in one:

make lint

the same as:

make test && make check-codestyle && make mypy && make check-safety

8. Cleanup

Delete pycache files

make pycache-remove

Remove package build

make build-remove

Or to remove pycache and build:

make clean-all

9. Docs

Build the documentation

make docs

Open the docs index page

make open-docs

📈 Releases

You can see the list of available releases on the GitHub Releases page.

We follow Semantic Versions specification.

We use Release Drafter. As pull requests are merged, a draft release is kept up-to-date listing the changes, ready to publish when you’re ready. With the categories option, you can categorize pull requests in release notes using labels.

List of labels and corresponding titles

Label Title in Releases
enhancement, feature 🚀 Features
bug, refactoring, bugfix, fix 🔧 Fixes & Refactoring
build, ci, testing 📦 Build System & CI/CD
breaking 💥 Breaking Changes
documentation 📝 Documentation
dependencies ⬆️ Dependencies updates

You can update it in release-drafter.yml.

GitHub creates the bug, enhancement, and documentation labels for you. Dependabot creates the dependencies label. Create the remaining labels on the Issues tab of your GitHub repository, when you need them.

🛡 License

License

This project is licensed under the terms of the Apache Software License 2.0 license. See LICENSE for more details.

📃 Citation

@misc{dominodatalab-data,
  author = {dominodatalab},
  title = {Domino Data API for interacting with Access Data features},
  year = {2021},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/dominodatalab/domino-data}}
}

Credits 🚀 Your next Python package needs a bleeding-edge project structure.

This project was generated with python-package-template

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dominodatalab-data-0.3.1.dev3.tar.gz (34.7 kB view details)

Uploaded Source

Built Distribution

dominodatalab_data-0.3.1.dev3-py3-none-any.whl (61.4 kB view details)

Uploaded Python 3

File details

Details for the file dominodatalab-data-0.3.1.dev3.tar.gz.

File metadata

  • Download URL: dominodatalab-data-0.3.1.dev3.tar.gz
  • Upload date:
  • Size: 34.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.6 Darwin/21.5.0

File hashes

Hashes for dominodatalab-data-0.3.1.dev3.tar.gz
Algorithm Hash digest
SHA256 c626e2c76848f69caf1f7fb8c58bbed0c7448c0b2c928546422dd0873cb4abfd
MD5 308902a2a7222d920a2d257c466f3f96
BLAKE2b-256 a6c8907d3501f6f7c2f64eba21ed625ff5af8a971ce6faf335fcc07111e57b4a

See more details on using hashes here.

Provenance

File details

Details for the file dominodatalab_data-0.3.1.dev3-py3-none-any.whl.

File metadata

File hashes

Hashes for dominodatalab_data-0.3.1.dev3-py3-none-any.whl
Algorithm Hash digest
SHA256 75e48f4f95c612cdedb4af68b6dec88d83382c530b2abcb436a6f84c44fb2cd6
MD5 e134e3d6f00ebf03d6df51bcb16dec90
BLAKE2b-256 dd7954b6b1504031598da01dc716d2ad92b663f828f80a32e205ad512c52bb4e

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page