| Name | caplena JSON |
| Version |
2.1.1
JSON |
| download |
| home_page | None |
| Summary | Python Library for Caplena REST API. |
| upload_time | 2024-11-01 11:01:42 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | None |
| keywords |
caplena
api
nlp
customer feedback
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
[](https://badge.fury.io/py/caplena)
[](https://pepy.tech/project/caplena)
# Caplena Python Library
The Caplena Python library provides convenient access to the Caplena REST API from applications written in the Python programming language.
## Documentation
To learn more about what you can use Caplena for and for how to create your own API key, please see [our main website](https://caplena.com/).
To learn more about the REST API that constitutes the basis for this project, take a look at our [REST API docs](https://caplena.com/docs/developers/).
To view the Python API docs and refernces, head over to our [SDK documentation](https://caplena.com/docs/sdk/python/).
## Installation
### Minimum Version
We recommend using the latest version of Python. Caplena supports Python 3.8 and newer.
### Dependencies
The following distributions will be installed automatically when installing Caplena.
- [Requests](https://docs.python-requests.org/en/latest/) is an elegant and simple HTTP library for Python.
- [Typing Extensions](https://github.com/python/typing/tree/master/typing_extensions) enables use of new type system features on older Python versions.
### Installing Caplena
Within your Python environment of choice, use the following command to install Caplena:
```sh
$ pip install caplena
```
Caplena is now installed.
## Development
To use `caplena-python` in a development environment, we recommend you to set up a development virtualenv. Once done, you
can run the following command to install all required dependencies:
```sh
make install
```
Run all tests:
```sh
make test
```
Run all tests in watch mode:
```sh
make test-watch
```
Run the formatter:
```sh
make fmt
```
Run the linter:
```sh
make lint
```
Build the Sphinx SDK docs:
```sh
make build-docs
```
The Sphinx generated documentation is automatically generated and uploaded to our [developer documentation portal](https://caplena.com/docs/sdk/python/), using Github Actions.
Build the Python package:
```sh
make build-sdk
```
Publish the Python package:
```sh
make publish-sdk
```
Show all supported commands:
```sh
make help
```
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