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Welcome to the New Python-Based Application Readme Guide

Thank you for joining us as a beta tester or developer for our cutting-edge Python-based application! This guide will walk you through the process of getting started with the application and utilizing its exciting features.

Table of Contents

Introduction

As a beta tester or developer, you're getting an exclusive early access to this technology that's still in its infancy. We've worked hard to ensure compatibility with your databases and an intuitive experience.

Getting Started

Before you dive into the exciting world of our new application, there are a few steps you need to follow to get everything set up.

Configuration

To ensure the application works seamlessly with your environment, you'll need to configure a few settings.

  1. Environment Configuration: To run the app in Docker, open the example.env file in the root directory of the project. Update the required environment variables, such as database credentials, API keys, etc. After making the changes, rename the file to .env.docker and then run make install. To run the app in development environment, just rename example.env to .env

Running the Application

1. Launch the Backend Server as a Docker Container:

  1. switch to python directory, cd dj_backend_server To initiate the app, execute the following command:
make install

To stop the server, use:

make down

Local Machine Deployment for Development:

  • For server launch:

    python manage.py runserver

  • For running background processes:

    # Mac M1 Chip Flags (if issues occur with fork)
export OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES && export DISABLE_SPRING=true

# Running Celery Worker
celery -A dj_backend_server worker --loglevel=info
  1. Access the Application: Open your web browser and navigate to the provided URL (http://localhost:8000) to access the application.

2.1 Making the Most of Hot Reloading as a developer

  1. Rename Configuration File: Modify the name of the example.env file to .env.

  2. Synchronize Models: Execute the command python manage.py sync_models.py to align the models.

  3. Launch the Server: Begin the server by using the command python manage.py runserver.

  4. Activate Celery: Initiate Celery by running the command celery -A dj_backend_server worker --loglevel=info.

  5. Optional: Debugging in Visual Studio Code: If you're employing Visual Studio Code, the source code includes convenient debug scripts. You can utilize these scripts for debugging purposes. Please disregard the step mentioned in 4 if you choose this option.

Debugging on vscode

With these steps, you can make the most of hot reloading and enhance your development experience.

Compatibility

We understand the importance of seamless integration with your existing databases. Our team has worked diligently to ensure compatibility so that you can continue to use and enjoy the chatbots you've created earlier.

If you're migrating from PHP to Python, it's important to handle volume mounting correctly. This ensures that your data remains accessible and functional. Additionally, you can opt for a migration script if that suits your needs better.

Feedback and Support

Your feedback is incredibly important to us as a beta tester and developer. If you come across any problems, have ideas to share, or simply want to tell us about your experience, please don't hesitate to get in touch. You can use the GitHub issue tracker or join our community forum on Discord, named "Openchat".

Thank you for being a part of this exciting journey as we shape the future of chatbot technology together! Your enthusiasm and insights will drive our application to new heights.

Happy coding and exploring!