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-5.7.2.tar.gz (50.5 kB view details)

Uploaded Source

Built Distribution

dominodatalab_data-5.7.2-py3-none-any.whl (100.2 kB view details)

Uploaded Python 3

File details

Details for the file dominodatalab_data-5.7.2.tar.gz.

File metadata

  • Download URL: dominodatalab_data-5.7.2.tar.gz
  • Upload date:
  • Size: 50.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.9.7 Darwin/22.6.0

File hashes

Hashes for dominodatalab_data-5.7.2.tar.gz
Algorithm Hash digest
SHA256 66f38f4a554917e2804d64dbd28a77725f5a2398ce659fa9851c95fd46a25216
MD5 8f3b0cd1d907ae84d1860bc38c092f25
BLAKE2b-256 60cec12eaba501008db0d443840a4987ccb322b63f22e7df84e4644bdcca715f

See more details on using hashes here.

File details

Details for the file dominodatalab_data-5.7.2-py3-none-any.whl.

File metadata

File hashes

Hashes for dominodatalab_data-5.7.2-py3-none-any.whl
Algorithm Hash digest
SHA256 c29d8cc5373ac50ac2c9ef8e010c3d5b8c693df9549b4591e101c802426f0053
MD5 d446a8bdcbb92ddc03c3c150a391adb3
BLAKE2b-256 697815a0b0bc41c47337c086a2a017e0ee22967d9f68712f2e749b7d06f79a92

See more details on using hashes here.

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