andorcal 0.0.7
Calendar utility for Andor. Package to generate calendar data based on input dates
Requires Python: >=3.9

20240201 Keep - Phuc Nguyen https://infodation.atlassian.net/browse/VNIFDSUP-1494

# TODO
- Module name and package name are different
- https://stackoverflow.com/questions/2532729/daylight-saving-time-and-time-zone-best-practices


dist/ka_andor_calendar-1.0.0-py3-none-any.whl

# Example PyPI (Python Package Index) Package & Tutorial / Instruction / Workflow for 2021

[![PyPI package](https://img.shields.io/badge/pip%20install-example--pypi--package-brightgreen)](https://pypi.org/project/example-pypi-package/) [![version number](https://img.shields.io/pypi/v/example-pypi-package?color=green&label=version)](https://github.com/tomchen/example_pypi_package/releases) [![Actions Status](https://github.com/tomchen/example_pypi_package/workflows/Test/badge.svg)](https://github.com/tomchen/example_pypi_package/actions) [![License](https://img.shields.io/github/license/tomchen/example_pypi_package)](https://github.com/tomchen/example_pypi_package/blob/main/LICENSE)

This is an example [PyPI](https://pypi.org/) (Python Package Index) package set up with automated tests and package publishing workflow using GitHub Actions CI/CD. It is made primarily for GitHub + VS Code (Windows / Mac / Linux) users who are about to write and publish their first PyPI package. The package could serve as a starter / boilerplate / demo and the tutorial could give you a quick and concise explaination to solve some small but annoying problems you might encounter, such as package / module name confusion, and VS Code test configuration issues.

<details><summary><strong>Differences from pypa/sampleproject (click to show/hide)</strong></summary>

This example package is inspired by / based on the [official sample project pypa/sampleproject](https://github.com/pypa/sampleproject), but this package:

- is a simplified version of pypa/sampleproject (and the [official Python Packaging User Guide](https://packaging.python.org/))
- uses GitHub Actions for both testing and publishing, instead of Travis CI
- is tested when pushing `master` or `main` branch, and is published when create a release
- includes test files in the source distribution
- uses **setup.cfg** for [version single-sourcing](https://packaging.python.org/guides/single-sourcing-package-version/) (setuptools 46.4.0+)
- has **.vscode\settings.json** and **vscode.env** which adds **src/** folder to `PYTHONPATH`, so that test files don't have linting errors and may run with pytest in VS Code
- does not use flake8 for automated linting - it is sometimes too strict and inflexible, you may use pylint locally instead
- has this tutorial that covers everything you need to know in one page. Everything that might not be very useful, is hidden in collapsible sections that you can click to show
- has **[.editorconfig](https://editorconfig.org/#download)** file

</details>

## Make necessary changes

### Use as a template

[![Use the template](https://img.shields.io/static/v1?label=&message=Click%20here%20to%20use%20this%20package%20as%20a%20template%20to%20start%20a%20new%20repo%20on%20GitHub&color=brightgreen&style=for-the-badge)](https://github.com/tomchen/example_pypi_package/generate)

(Click the above button to use this example package as a template for your new GitHub repo, this will initialize a new repository and my commits will not be in your git history)

(If you do not use GitHub, you can [download the archive of the example package](https://github.com/tomchen/example_pypi_package/archive/main.zip))

### Package, module name

Many use a same package and module name, you could definitely do that. But this example package and its module's names are different: `example_pypi_package` and `examplepy`.

Open `example_pypi_package` folder with Visual Studio Code, <kbd>Ctrl</kbd> + <kbd>Shift</kbd> + <kbd>F</kbd> (Windows / Linux) or <kbd>Cmd</kbd> + <kbd>Shift</kbd> + <kbd>F</kbd> (MacOS) to find all occurrences of both names and replace them with your package and module's names. Also remember to change the name of the folder **src/examplepy**.

Simply and very roughly speaking, package name is used in `pip install <PACKAGENAME>` and module name is used in `import <MODULENAME>`. Both names should consist of lowercase basic letters (a-z). They may have underscores (`_`) if you really need them. Hyphen-minus (`-`) should not be used.

You'll also need to make sure the URL "https://pypi.org/project/example-pypi-package/" (replace `example-pypi-package` by your package name, with all `_` becoming `-`) is not occupied.

<details><summary><strong>Details on naming convention (click to show/hide)</strong></summary>

Underscores (`_`) can be used but such use is discouraged. Numbers can be used if the name does not start with a number, but such use is also discouraged.

Name starting with a number and/or containing hyphen-minus (`-`) should not be used: although technically legal, such name causes a lot of trouble − users have to use `importlib` to import it.

Don't be fooled by the URL "[pypi.org/project/example-pypi-package/](https://pypi.org/project/example-pypi-package/)" and the name "example-pypi-package" on pypi.org. pypi.org and pip system convert all `_` to `-` and use the latter on the website / in `pip` command, but the real name is still with `_`, which users should use when importing the package.

There's also [namespace](https://packaging.python.org/guides/packaging-namespace-packages/) to use if you need sub-packages.

</details>

### Other changes

Make necessary changes in **setup.py**.

The package's version number `__version__` is in **src/examplepy/\_\_init\_\_.py**. You may want to change that.

The example package is designed to be compatible with Python 3.6, 3.7, 3.8, 3.9, and will be tested against these versions. If you need to change the version range, you should change:

- `classifiers`, `python_requires` in **setup.py**
- `envlist` in **tox.ini**
- `matrix: python:` in **.github/workflows/test.yml**

If you plan to upload to [TestPyPI](https://test.pypi.org/) which is a playground of [PyPI](https://pypi.org/) for testing purpose, change `twine upload --repository pypi dist/*` to `twine upload --repository testpypi dist/*` in the file **.github/workflows/release.yml**.

## Development

### pip

pip is a Python package manager. You already have pip if you use Python 3.4 and later version which include it by default. Read [this](https://pip.pypa.io/en/stable/installing/#do-i-need-to-install-pip) to know how to check whether pip is installed. Read [this](https://pip.pypa.io/en/stable/installing/#installing-with-get-pip-py) if you need to install it.

### Use VS Code

Visual Studio Code is the most popular code editor today, our example package is configured to work with VS Code.

Install VS Code extension "[Python](https://marketplace.visualstudio.com/items?itemName=ms-python.python)".

"Python" VS Code extension will suggest you install pylint. Also, the example package is configured to use pytest with VS Code + Python extensions, so, install pylint and pytest:

```bash
pip install pylint pytest
```

(It's likely you will be prompted to install them, if that's the case, you don't need to type and execute the command)

**vscode.env**'s content is now `PYTHONPATH=/;src/;${PYTHONPATH}` which is good for Windows. If you use Linux or MacOS, you need to change it to `PYTHONPATH=/:src/:${PYTHONPATH}` (replacing `;` with `:`). If the PATH is not properly set, you'll see linting errors in test files and pytest won't be able to run **tests/test\_\*.py** files correctly.

Close and reopen VS Code. You can now click the lab flask icon in the left menu and run all tests there, with pytest. pytest seems better than the standard unittest framework, it supports `unittest` thus you can keep using `import unittest` in your test files.

The example package also has a **.editorconfig** file. You may install VS Code extension "[EditorConfig for VS Code](https://marketplace.visualstudio.com/items?itemName=EditorConfig.EditorConfig)" that uses the file. With current configuration, the EditorConfig tool can automatically use spaces (4 spaces for .py, 2 for others) for indentation, set `UTF-8` encoding, `LF` end of lines, trim trailing whitespaces in non Markdown files, etc.

In VS Code, you can go to File -> Preferences -> Settings, type "Python Formatting Provider" in the search box, and choose one of the three Python code formatting tools (autopep8, black and yapf), you'll be prompted to install it. The shortcuts for formatting of a code file are <kbd>Shift</kbd> + <kbd>Alt</kbd> + <kbd>F</kbd> (Windows); <kbd>Shift</kbd> + <kbd>Option (Alt)</kbd> + <kbd>F</kbd> (MacOS); <kbd>Ctrl</kbd> + <kbd>Shift</kbd> + <kbd>I</kbd> (Linux).

### Write your package

In **src/examplepy/** (`examplepy` should have been replaced by your module name) folder, rename **module1.py** and write your code in it. Add more module .py files if you need to.

### Write your tests

In **tests/** folder, rename **test_module1.py** (to **test\_\*.py**) and write your unit test code (with [unittest](https://docs.python.org/3/library/unittest.html)) in it. Add more **test\_\*.py** files if you need to.

<details><summary><strong>The testing tool `tox` will be used in the automation with GitHub Actions CI/CD. If you want to use `tox` locally, click to read the "Use tox locally" section</strong></summary>

### Use tox locally

Install tox and run it:

```bash
pip install tox
tox
```

In our configuration, tox runs a check of source distribution using [check-manifest](https://pypi.org/project/check-manifest/) (which requires your repo to be git-initialized (`git init`) and added (`git add .`) at least), setuptools's check, and unit tests using pytest. You don't need to install check-manifest and pytest though, tox will install them in a separate environment.

The automated tests are run against several Python versions, but on your machine, you might be using only one version of Python, if that is Python 3.9, then run:

```bash
tox -e py39
```

</details>

If you add more files to the root directory (**example_pypi_package/**), you'll need to add your file to `check-manifest --ignore` list in **tox.ini**.

<details><summary><strong>Thanks to GitHub Actions' automated process, you don't need to generate distribution files locally. But if you insist, click to read the "Generate distribution files" section</strong></summary>

## Generate distribution files

### Install tools

Install or upgrade `setuptools` and `wheel`:

```bash
python -m pip install --user --upgrade setuptools wheel
```

(If `python3` is the command on your machine, change `python` to `python3` in the above command, or add a line `alias python=python3` to **~/.bashrc** or **~/.bash_aliases** file if you use bash on Linux)

### Generate `dist`

From `example_pypi_package` directory, run the following command, in order to generate production version for source distribution (sdist) in `dist` folder:

```bash
python setup.py sdist bdist_wheel
```

### Install locally

Optionally, you can install dist version of your package locally before uploading to [PyPI](https://pypi.org/) or [TestPyPI](https://test.pypi.org/):

```bash
pip install dist/example_pypi_package-0.1.0.tar.gz
```

(You may need to uninstall existing package first:

```bash
pip uninstall example_pypi_package
```

There may be several installed packages with the same name, so run `pip uninstall` multiple times until it says no more package to remove.)

</details>

## Upload to Artifact Registry

### Install keyring

The following packages will take care of authenticating to google cloud:

```bash
python -m pip install keyring, keyrings.google-artifactregistry-auth
```

### Install Twine

Install or upgrade Twine:

```bash
python -m pip install --user --upgrade twine
```

Create a **.pypirc** file in your **$HOME** (**~**) directory, its content can be generated with:

```bash
 gcloud artifacts print-settings python /
     --project=PROJECT /
     --repository=AR-REPO-NAME /
     --location=REGION
```

(if you don't manually create **$HOME/.pypirc**, you will be prompted for a username (which should be `__token__`) and password (which should be your PyPI token) when you run Twine)

### Upload

Run Twine to upload all of the archives under **dist** folder:

When you finished developing a newer version of your package, do the following things.

Modify the version number `version` in the TOML project file

Rebuild the package, and then upload.

```bash
python -m build
python -m twine upload --verbose --repository-url https://europe-west4-python.pkg.dev/kikker-playground-nl/forecast-trade-python-repo/  dist/*
```

</details>

## References

- [Python Packaging Authority (PyPA)'s sample project](https://github.com/pypa/sampleproject)
- [Store Python packages in Artifact Registry](https://cloud.google.com/artifact-registry/docs/python/store-python)
- [GitHub Actions Guides: Building and testing Python](https://docs.github.com/en/free-pro-team@latest/actions/guides/building-and-testing-python)

Btw, if you want to publish TypeScript (JavaScript) package to the npm registry, go to [Example TypeScript Package ready to be published on npm for 2021](https://github.com/tomchen/example-typescript-package).