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⚠️ Disclaimer: This project is in a preliminary state and under active development. Features and functionality may change significantly.

Edge Mining ⚡️🌞 is a software to optimize the use of excess energy, especially from renewable sources, through Bitcoin mining. This system automates the turning on and off of ASIC miner devices based on energy availability, production forecasts, and user-defined policies.


1. Prerequisites

  • Git
  • Docker and Docker Compose

Clone the repository and move into the project root:

git clone https://github.com/edge-mining/app.git
cd app/

Run with Docker Compose

You can run Edge Mining using docker compose in daemon mode using the provided compose.yaml.

Important: The user_data/ directory is mounted as a volume, ensuring your database, policies, and backups persist even when the container is removed.

2.1. First start (one-time initialization)

On the very first run, use the first_start.sh helper script from scripts folder, which initializes user_data/, creates the necessary directory structure, and then brings up the Docker stack, building the image if needed:

./scripts/first_start.sh

Under the hood this will:

  • Run init_user_data.sh to create/populate the user_data/ directory
  • Run docker compose up -d --build to build the multi-stage image defined in Dockerfile (backend + frontend + nginx) and start a single container exposing the web UI and API on port 80

Now you can:

  • Place your optimization policy YAML files in user_data/policies/
  • Find rule examples in user_data/examples/start/ and user_data/examples/stop/
  • Access the database at user_data/db/edgemining.db
  • Find automatic backups in user_data/db/backups/

2.2. Subsequent starts

After the first initialization, you can start the stack directly with Docker Compose (without forcing a rebuild every time):

docker compose up -d

Note: Volumes under user_data/ are mounted into the container so that configuration and database files persist across restarts.

2.3. Access the application

  • Web UI: http://localhost/
  • API (via reverse proxy): http://localhost/api
  • API docs (via reverse proxy): http://localhost/docs

To see logs:

docker compose logs -f

2.4. Stop the stack

docker compose down

2.5. Environment variables

The container supports a couple of environment variables that control runtime behavior:

  • TIMEZONE: timezone used by the backend (default: Europe/Rome)
  • LATITUDE and LONGITUDE: used for sunrise/sunset calculations
  • SCHEDULER_INTERVAL_SECONDS: polling interval for the scheduler loop (default: 5 seconds)

When using Docker Compose, you can configure them in compose.yaml under the environment section of the edge-mining service. For example:

services:
  edge-mining:
    environment:
      - TIMEZONE=Europe/Rome
      - SCHEDULER_INTERVAL_SECONDS=5

When running the image directly with docker run, you can pass them with -e:

docker run -d \
  -p 80:80 \
  -e TIMEZONE=Europe/Rome \
  -e SCHEDULER_INTERVAL_SECONDS=5 \
  edge-mining:latest

2.6. Core interactive CLI mode

Once the container is running in the background with:

docker compose up -d

you can open an interactive Core CLI session inside the running container using docker compose exec and the startup command described in the core README:

docker compose exec edge-mining python -m edge_mining cli interactive

This command:

  • enters the edge-mining service container defined in compose.yaml
  • starts the backend in interactive CLI mode, allowing you to manage miners, energy sources, controllers, policies, etc. via a text-based menu.

To see the available CLI options you can run:

docker compose exec edge-mining python -m edge_mining cli --help

3. Configuration & Data

User-specific data lives in the user_data/ folder of the this application folder. This is where you can place your own configuration files, policies, and where the backend will store its database.:

  • user_data/policies/ – optimization policy YAML files (automatically copied from core/data/policies/ on first run if missing)
  • user_data/examples/ – example rules files (copied from core/data/examples/ on first run)
  • user_data/db/edgemining.db – SQLite database file used by the backend

3.1 Initialize user data (recommended)

The first_start.sh script already runs init_user_data.sh for you, so in normal usage you do not need to call it manually on the first run.

If you prefer to manage things yourself, you can still run the helper script directly to create and populate the user_data/ directory with default files:

./scripts/init_user_data.sh

This script:

  • Creates the user_data/ structure if missing
  • Copies example optimization policies into user_data/policies/
  • Copies example rules files into user_data/examples/
  • Ensures a user_data/db/edgemining.db file exists (copying one from core/ if present, or creating an empty file otherwise)

You may want to re-run it if you intentionally delete the user_data/ folder and want to restore the default structure.


4. Useful Tips

  • Logs: Use docker compose logs -f to inspect services when running with Docker.
  • Rebuild after changes: If you change backend or frontend code, re-run docker compose up -d --build (or ./scripts/first_start.sh if you prefer the one-shot helper) to rebuild images.

5. Troubleshooting

  • If containers fail to start, check logs:
docker compose logs
  • If ports are already in use (80), stop the conflicting services or adjust ports and Nginx configuration.
  • If the UI cannot reach the API, verify:
    • Backend container is healthy (docker ps)
    • Nginx is running and correctly proxying requests
    • Frontend is pointing to the right API URL.

6. Updating the Application

When a new version is available, use the update.sh script to pull the latest changes and restart the application:

./scripts/update.sh

This script will:

  • Pull the latest changes from the current branch
  • Re-initialize user_data/ (copies missing defaults only)
  • Rebuild and restart the Docker stack

6.1 Switching Branch

The main branch is the active development branch. For regular updates, stay on main; to test a feature branch, use the switch_branch.sh script:

./scripts/switch_branch.sh

This script will:

  • Fetch the latest remote branches
  • Display a numbered list of all available branches
  • Prompt you to select the desired branch
  • Switch to the selected branch
  • Rebuild and restart the Docker stack

7. Development

For local development setup (without Docker), available make commands, linting, testing, and contribution guidelines, see:

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