# Domino Data API
<div align="center">
[](https://github.com/dominodatalab/domino-data/actions?query=workflow%3Abuild)
[](https://pypi.org/project/dominodatalab-data/)
[](https://github.com/dominodatalab/domino-data/pulls?utf8=%E2%9C%93&q=is%3Apr%20author%3Aapp%2Fdependabot)
[](https://github.com/psf/black)
[](https://github.com/PyCQA/bandit)
[](https://github.com/dominodatalab/domino-data/blob/main/.pre-commit-config.yaml)
[](https://github.com/dominodatalab/domino-data/releases)
[](https://github.com/dominodatalab/domino-data/blob/main/LICENSE)
Domino Data API for interacting with Access Data features
</div>
## Installation
```bash
pip install -U dominodatalab-data
```
or install with `Poetry`
```bash
poetry add dominodatalab-data
```
### Makefile usage
[`Makefile`](https://github.com/dominodatalab/domino-data/blob/main/Makefile) contains a lot of functions for faster development.
<details>
<summary>1. Download and remove Poetry</summary>
<p>
To download and install Poetry run:
```bash
make poetry-download
```
To uninstall
```bash
make poetry-remove
```
</p>
</details>
<details>
<summary>2. Install all dependencies and pre-commit hooks</summary>
<p>
Install requirements:
```bash
make install
```
Pre-commit hooks coulb be installed after `git init` via
```bash
make pre-commit-install
```
</p>
</details>
<details>
<summary>3. Codestyle</summary>
<p>
Automatic formatting uses `pyupgrade`, `isort` and `black`.
```bash
make codestyle
# or use synonym
make formatting
```
Codestyle checks only, without rewriting files:
```bash
make check-codestyle
```
> Note: `check-codestyle` uses `isort`, `black` and `darglint` library
<details>
<summary>4. Code security</summary>
<p>
```bash
make check-safety
```
This command launches `Poetry` integrity checks as well as identifies security issues with `Safety` and `Bandit`.
```bash
make check-safety
```
</p>
</details>
</p>
</details>
<details>
<summary>5. Type checks</summary>
<p>
Run `mypy` static type checker
```bash
make mypy
```
</p>
</details>
<details>
<summary>6. Tests</summary>
<p>
Run `pytest`
```bash
make test
```
</p>
</details>
<details>
<summary>7. All linters</summary>
<p>
Of course there is a command to ~~rule~~ run all linters in one:
```bash
make lint
```
the same as:
```bash
make test && make check-codestyle && make mypy && make check-safety
```
</p>
</details>
<details>
<summary>8. Cleanup</summary>
<p>
Delete pycache files
```bash
make pycache-remove
```
Remove package build
```bash
make build-remove
```
Or to remove pycache and build:
```bash
make clean-all
```
</p>
</details>
<details>
<summary>9. Docs</summary>
<p>
Build the documentation
```bash
make docs
```
Open the docs index page
```bash
make open-docs
```
</p>
</details>
## 📈 Releases
You can see the list of available releases on the [GitHub Releases](https://github.com/dominodatalab/domino-data/releases) page.
We follow [Semantic Versions](https://semver.org/) specification.
We use [`Release Drafter`](https://github.com/marketplace/actions/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`](https://github.com/dominodatalab/domino-data/blob/main/.github/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
[](https://github.com/dominodatalab/domino-data/blob/main/LICENSE)
This project is licensed under the terms of the `Apache Software License 2.0` license. See [LICENSE](https://github.com/dominodatalab/domino-data/blob/main/LICENSE) for more details.
## 📃 Citation
```bibtex
@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 [](https://github.com/TezRomacH/python-package-template)
This project was generated with [`python-package-template`](https://github.com/TezRomacH/python-package-template)
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"description": "# Domino Data API\n\n<div align=\"center\">\n\n[](https://github.com/dominodatalab/domino-data/actions?query=workflow%3Abuild)\n[](https://pypi.org/project/dominodatalab-data/)\n[](https://github.com/dominodatalab/domino-data/pulls?utf8=%E2%9C%93&q=is%3Apr%20author%3Aapp%2Fdependabot)\n\n[](https://github.com/psf/black)\n[](https://github.com/PyCQA/bandit)\n[](https://github.com/dominodatalab/domino-data/blob/main/.pre-commit-config.yaml)\n[](https://github.com/dominodatalab/domino-data/releases)\n[](https://github.com/dominodatalab/domino-data/blob/main/LICENSE)\n\nDomino Data API for interacting with Access Data features\n\n</div>\n\n## Installation\n\n```bash\npip install -U dominodatalab-data\n```\n\nor install with `Poetry`\n\n```bash\npoetry add dominodatalab-data\n```\n\n### Makefile usage\n\n[`Makefile`](https://github.com/dominodatalab/domino-data/blob/main/Makefile) contains a lot of functions for faster development.\n\n<details>\n<summary>1. Download and remove Poetry</summary>\n<p>\n\nTo download and install Poetry run:\n\n```bash\nmake poetry-download\n```\n\nTo uninstall\n\n```bash\nmake poetry-remove\n```\n\n</p>\n</details>\n\n<details>\n<summary>2. Install all dependencies and pre-commit hooks</summary>\n<p>\n\nInstall requirements:\n\n```bash\nmake install\n```\n\nPre-commit hooks coulb be installed after `git init` via\n\n```bash\nmake pre-commit-install\n```\n\n</p>\n</details>\n\n<details>\n<summary>3. Codestyle</summary>\n<p>\n\nAutomatic formatting uses `pyupgrade`, `isort` and `black`.\n\n```bash\nmake codestyle\n\n# or use synonym\nmake formatting\n```\n\nCodestyle checks only, without rewriting files:\n\n```bash\nmake check-codestyle\n```\n\n> Note: `check-codestyle` uses `isort`, `black` and `darglint` library\n\n<details>\n<summary>4. Code security</summary>\n<p>\n\n```bash\nmake check-safety\n```\n\nThis command launches `Poetry` integrity checks as well as identifies security issues with `Safety` and `Bandit`.\n\n```bash\nmake check-safety\n```\n\n</p>\n</details>\n\n</p>\n</details>\n\n<details>\n<summary>5. Type checks</summary>\n<p>\n\nRun `mypy` static type checker\n\n```bash\nmake mypy\n```\n\n</p>\n</details>\n\n<details>\n<summary>6. Tests</summary>\n<p>\n\nRun `pytest`\n\n```bash\nmake test\n```\n\n</p>\n</details>\n\n<details>\n<summary>7. All linters</summary>\n<p>\n\nOf course there is a command to ~~rule~~ run all linters in one:\n\n```bash\nmake lint\n```\n\nthe same as:\n\n```bash\nmake test && make check-codestyle && make mypy && make check-safety\n```\n\n</p>\n</details>\n\n<details>\n<summary>8. Cleanup</summary>\n<p>\n\nDelete pycache files\n\n```bash\nmake pycache-remove\n```\n\nRemove package build\n\n```bash\nmake build-remove\n```\n\nOr to remove pycache and build:\n\n```bash\nmake clean-all\n```\n\n</p>\n</details>\n\n<details>\n<summary>9. Docs</summary>\n<p>\n\nBuild the documentation\n\n```bash\nmake docs\n```\n\nOpen the docs index page\n\n```bash\nmake open-docs\n```\n\n</p>\n</details>\n\n## \ud83d\udcc8 Releases\n\nYou can see the list of available releases on the [GitHub Releases](https://github.com/dominodatalab/domino-data/releases) page.\n\nWe follow [Semantic Versions](https://semver.org/) specification.\n\nWe use [`Release Drafter`](https://github.com/marketplace/actions/release-drafter). As pull requests are merged, a draft release is kept up-to-date listing the changes, ready to publish when you\u2019re ready. With the categories option, you can categorize pull requests in release notes using labels.\n\n### List of labels and corresponding titles\n\n| **Label** | **Title in Releases** |\n| :-----------------------------------: | :---------------------: |\n| `enhancement`, `feature` | \ud83d\ude80 Features |\n| `bug`, `refactoring`, `bugfix`, `fix` | \ud83d\udd27 Fixes & Refactoring |\n| `build`, `ci`, `testing` | \ud83d\udce6 Build System & CI/CD |\n| `breaking` | \ud83d\udca5 Breaking Changes |\n| `documentation` | \ud83d\udcdd Documentation |\n| `dependencies` | \u2b06\ufe0f Dependencies updates |\n\nYou can update it in [`release-drafter.yml`](https://github.com/dominodatalab/domino-data/blob/main/.github/release-drafter.yml).\n\nGitHub 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.\n\n## \ud83d\udee1 License\n\n[](https://github.com/dominodatalab/domino-data/blob/main/LICENSE)\n\nThis project is licensed under the terms of the `Apache Software License 2.0` license. See [LICENSE](https://github.com/dominodatalab/domino-data/blob/main/LICENSE) for more details.\n\n## \ud83d\udcc3 Citation\n\n```bibtex\n@misc{dominodatalab-data,\n author = {dominodatalab},\n title = {Domino Data API for interacting with Access Data features},\n year = {2021},\n publisher = {GitHub},\n journal = {GitHub repository},\n howpublished = {\\url{https://github.com/dominodatalab/domino-data}}\n}\n```\n\n## Credits [](https://github.com/TezRomacH/python-package-template)\n\nThis project was generated with [`python-package-template`](https://github.com/TezRomacH/python-package-template)\n",
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