Here's a structured README template for your Django Workflow Automation project, formatted with a focus on clarity and syntax love. This will help users understand the purpose of the project, how to set it up, and how to use it.
# Django Workflow Automation
**Automation**: Simplifying the management of business workflows through an intuitive Django application.
## Table of Contents
- [Introduction](#introduction)
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [API Endpoints](#api-endpoints)
- [Integrations](#integrations)
- [Testing](#testing)
- [Deployment](#deployment)
- [Contributing](#contributing)
- [License](#license)
## Introduction
In today's fast-paced business environment, managing workflows efficiently is crucial for productivity and collaboration. This Django Workflow Automation project provides a robust framework for automating common business processes, including approvals, notifications, and task assignments.
This application leverages Django's powerful features to create customizable workflows that can adapt to your organization's unique needs.
## Features
- **Custom Workflows**: Define and manage workflows tailored to your business processes.
- **Task Management**: Create, update, and track tasks within each workflow.
- **Role-Based Access**: Manage user permissions and roles to control access to workflow actions.
- **Notifications**: Integrate with external tools (e.g., Slack, Email) for real-time notifications.
- **API Documentation**: Automatic API documentation with Swagger UI for easy access to endpoint specifications.
## Installation
To get started with the Django Workflow Automation application, follow these steps:
### Prerequisites
- Python 3.x
- Django 3.x or higher
- Django REST Framework
### Steps
1. **Clone the Repository**:
```bash
git clone https://github.com/ScriptPythonic/Django-Workflow-Automation.git
cd Django-Workflow-Automation-
Create a Virtual Environment (recommended):
python -m venv venv source venv/bin/activate # On Windows use `venv\Scripts\activate`
-
Install Dependencies:
pip install -r requirements.txt
-
Run Migrations:
python manage.py migrate
-
Create a Superuser (optional):
python manage.py createsuperuser
-
Start the Development Server:
python manage.py runserver
Once the server is running, you can access the application at http://127.0.0.1:8000/.
To manage workflows and tasks, you can use the Django admin interface at http://127.0.0.1:8000/admin/.
- Approval Workflow: Automate the approval process for new project requests.
- Notification Workflow: Send notifications to team members upon task completion.
- Assignment Workflow: Automatically assign tasks to team members based on their roles.
The application exposes several RESTful API endpoints for managing workflows and tasks. Below are some key endpoints:
| Method | Endpoint | Description |
|---|---|---|
| POST | /api/workflows/ | Create a new workflow |
| GET | /api/workflows/ | List all workflows |
| GET | /api/workflows/{id}/ | Retrieve a specific workflow |
| POST | /api/tasks/ | Create a new task |
| GET | /api/tasks/ | List all tasks |
| PATCH | /api/tasks/{id}/ | Update a specific task |
Access the API documentation via Swagger UI at http://127.0.0.1:8000/swagger/.
The application supports integrations with various external tools:
- Slack: Send notifications to a specific Slack channel for task updates.
- Email: Configure email notifications for task assignments and completions.
- Zapier: Automate workflows across different applications.
To run tests for the application, use:
python manage.py testThis command will execute all test cases and provide coverage reports for your models, views, and API endpoints.
For deployment, consider using platforms like Heroku, AWS, or DigitalOcean. Ensure that your settings are configured for production, including security settings and database configurations.
Contributions are welcome! If you would like to contribute to the project, please follow these steps:
- Fork the repository.
- Create a new branch:
git checkout -b feature/YourFeature. - Make your changes and commit them:
git commit -m "Add new feature". - Push to the branch:
git push origin feature/YourFeature. - Open a pull request with a description of your changes.