📱 SMS Bot - Sample NodeJs Project with simple CI-CD

This repository manages the deployment of an SMS bot application onto a Raspberry Pi using Docker. It involves automated workflows to build, deploy, and update the Docker image, as well as a Python script for checking and updating the running container.

• ✅ Basic functionality completed
• ⬜ Implement an API endpoint to fetch or update tokens dynamically.
• ⬜ Check container status on startup; if not running, start the container.

• Triggers: Automatically runs on every push to the main branch.
• Steps:
  1. Send Notification (Started): Notifies via Telegram that deployment has started.
  2. Build: Sets up Node.js, installs dependencies, builds the application, logs in to Docker Hub, and builds the Docker image for ARM64 architecture.
  3. Send Notification (Successful): Sends a Telegram message if the deployment to Docker Hub was successful.
  4. Send Notification (Failed): Notifies about deployment failure via Telegram.

• A systemd service for running a Python script (main.py) to continuously check and update the Docker container if a new image is available.

• .github/workflows/deploy-dockerhub.yml: GitHub Actions workflow for deploying to Docker Hub.
• auto-pull-docker/.service: systemd service file for the Python script.
• auto-pull-docker/main.py: Python script to check for image updates and restart the container.
• .env.sample: Sample environment file for configuring application-specific variables.
• app.js: Node.js application for managing the bot functionality.

1. GitHub Actions Workflow: Automatically builds and deploys the Docker image to Docker Hub on every push to the main branch.
2. Auto-Pull Docker Service: Runs the Python script continuously on the Raspberry Pi to check for updates and restarts the container if a new image is available.
3. Environment Variables: Ensure the required environment variables are set in a .env file based on the provided .env.sample.

1. Clone this repository onto your Raspberry Pi.
2. Modify the .env.sample file and save it as .env with the necessary environment variables.
3. Start the Auto-Pull Docker service using the provided .service file.

sudo cp auto-pull-docker/.service /etc/systemd/system/auto-pull-docker.service
sudo systemctl daemon-reload
sudo systemctl enable auto-pull-docker.service
sudo systemctl start auto-pull-docker.service

Note: Ensure the required permissions are set for executing the Python script.

Contributions to improve this deployment setup are welcome!

Fork the repository, make your changes, and submit a pull request.