Metadata-Version: 2.1
Name: decisionlab
Version: 0.0.2
Summary: A Python package for accessing decision data from JustDecision.com
Home-page: https://github.com/TuDecides/decisionlab
Author: decisionLab
Author-email: jsanchezcastillejos@gmail.com
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown

# decision_lab

## Introduction

`decision_lab` is a Python library that provides a simple and intuitive interface for creating and managing "decisions" that can be accessed via APIs. With `decision_lab`, you can make code behavior changes without changing the code itself, saving time and money on development and maintenance.

## Key Features

- Create and edit decisions through a user-friendly interface.
- Access decisions via APIs to make code behavior changes without modifying the codebase.
- Improve user experience and business outcomes with flexible and scalable decision management.

## Use Cases

- Change the welcome message on a website header by editing a decision in the UI, and the change will be reflected on the website.
- Modify the user list in a backend Python code by calling `decision.user_list`, without making changes to the codebase.

## Getting Started

To get started with `decision_lab`, you need to provide the UUID for accessing decisions. The UUID can be set as an environment variable `DECISION_LAB_UUID` or passed as an argument when creating an instance of the `DecisionLab` class.

```python
from decisionlab import DecisionLab

# Create an instance of DecisionLab with UUID
decisionlab = DecisionLab(uuid='your-uuid')

# Get the list of decisions
decisions_list = decision_lab.get_decisions_list()

# Get a specific decision by name
decision = decision_lab.get_decision('decision_name')
