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-5.8.0.dev4.tar.gz (51.4 kB view details)

Uploaded Source

Built Distribution

dominodatalab_data-5.8.0.dev4-py3-none-any.whl (100.9 kB view details)

Uploaded Python 3

File details

Details for the file dominodatalab_data-5.8.0.dev4.tar.gz.

File metadata

  • Download URL: dominodatalab_data-5.8.0.dev4.tar.gz
  • Upload date:
  • Size: 51.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.11.4 Darwin/21.6.0

File hashes

Hashes for dominodatalab_data-5.8.0.dev4.tar.gz
Algorithm Hash digest
SHA256 e9c62d762249b0b4ecfbd540ee4efd60a5b46290b5c229e6f5a7204a514c954c
MD5 fe2db6c4b4e1237405078bf197110432
BLAKE2b-256 79d208a4c51127c59b6169dabb218efda40a3ef27fbe1786fe9b4546e5cbc1c0

See more details on using hashes here.

Provenance

File details

Details for the file dominodatalab_data-5.8.0.dev4-py3-none-any.whl.

File metadata

File hashes

Hashes for dominodatalab_data-5.8.0.dev4-py3-none-any.whl
Algorithm Hash digest
SHA256 873fb67cceae4adeb88b3e55b79b35637ebc7ea7cf0d6aabcfb193edd3d3ce29
MD5 284e2551fe3fd06cfd84e6c397e3a5ff
BLAKE2b-256 38278f6968fc327085de42584468b19895413bec704a98dabcaccace988e18c0

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