bi-sc-client 0.0.5
Python wrapper for BI SomConnexió API

This library is a Python wrapper for accessing Som Connexió BI API.

## Operations

* Notify the BI API with an invoice number
* Recreate the PDF of an invoice
* Create a temporal token to access an invoice

## Installation

```commandline
$ pip install bi-sc-client
```

## Configuration Environment

To use this library you must expose the needed environment variables:

```
BI_URL:
BI_USER:
BI_PASSWORD:
```

These environment variables are needed to locate and access to the BI API.

## Usage

* Notify the BI API with an invoice number
```python
    from bi_sc_client.services.notify_invoice_number import NotifyInvoiceNumber
    NotifyInvoiceNumber(invoice_number="AB-1234Z").run()
```
* Recreate the PDF of group invoices
```python
    from bi_sc_client.services.invoice_pdf_regenerate import InvoicePDFRegenerator
    InvoicePDFRegenerator(invoice_numbers=["AB-1234Z", "AB-1234Z"]).run()
```
* Create a temporal token to access an invoice
```python
    from bi_sc_client.resources.token import Token
    from bi_sc_client.client import BISomConnexioClient
    client = BISomConnexioClient()
    token_instance = Token(client=client)
    print(token_instance.token)
```

## Development

### Setup environment

1. Install `pyenv`
```sh
curl https://pyenv.run | bash
```
2. Build the Python version
```sh
pyenv install  3.7.13
```
3. Create a virtualenv
```sh
pyenv virtualenv 3.7.13 bi-sc-client
```
4. Install dependencies
```sh
pyenv exec pip install -r requirements.txt
```
5. Install pre-commit hooks
```sh
pyenv exec pre-commit install
```

### Install the package locally in development mode

When we are using this package in other projects, we need to install it to use as import in the other files. Install the package in development mode helps us to modify the package and use the new version in live in the other project.

```sh
pip install -e .
```

### Test the HTTP request

We are using the HTTP recording plugin of Pytest: [pytest-recording](https://pytest-vcr.readthedocs.io/).

With VRC we can catch the HTTP responses and then, execute the tests using them.

To add a new test:

* Expose the needed envvars. Look for them at the [Configuration Environment section](#configuration-environment)
* Execute the tests using `pytest` command:
* If you are writing a new test that is making requests, you should run:

```
$ pytest --record-mode=once path/to/your/test
```

* You might need to record requests for an specific tests. In that case make sure to only run the tests affected and run

```
$ pytest --record-mode=rewrite path/to/your/test
```

* Add the new `cassetes` to the commit and push them.
* The CI uses the cassetes to emulate the HTTP response in the test.

### Run test suite

```commandline
$ tox
```

### Formatting

We use [Black](https://github.com/psf/black) as formatter.
First to commit, tun the `black` command:

```commandline
$ black .
All done! ✨ 🍰 ✨
29 files left unchanged.
```

#### Darker

Black is a great formatter, but to mantain your code without execute the `black` command avery time, you can configure your IDE to use [darker](https://pypi.org/project/darker/) to format only the changed or added code when you save the file.

### Release process

Update CHANGELOG.md following this steps:

1. Add any entries missing from merged merge requests.
1. Duplicate the `[Unreleased]` header.
1. Replace the second `Unreleased` with a version number followed by the current date. Copy the exact format from previous releases.

Then, you can release and publish the package to PyPi:

1. Update the `__version__` var in `__init__.py` matching the version you specified in the CHANGELOG.
1. Open a merge request with these changes for the team to approve
1. Merge it, add a git tag on that merge commit and push it.
1. Once the pipeline has successfully passed, your package had been published.