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It includes functionalities for interacting with the Tibber API and PV forecast API, managing configurations, and handling energy data.\n\nNext step:\nUsing the feedback to interactively control a FRONIUS inverter and battery charging system.\n\n*Hint: current usage approved with commit https://github.com/Akkudoktor-EOS/EOS/tree/e22388b7537af545a53d6cebef35d98a7ee30e1b (old API)*\n\n## Project Structure\n\n```\nEOS_connect\n├── src\n│   ├── json\n│   │  ├── optimize_request.json    # will be created/ rewritten with every new optimization request\n│   │  ├── optimize_response.json   # will be created/ rewritten after the feedback of EOS\n│   ├── web\n│   │  ├── index.html               # served webpage to dynamically showing the current state and response from EOS\n│   ├── eos_connect.py              # Main logic for fetching and processing energy data\n│   ├── config.py                   # config handling\n│   ├── config.yaml                 # config file - default will be created with first start\n│   ├── CONFIG_README.md            # config documentation\n├── Dockerfile                      # Docker configuration for the project\n├── docker-compose.yml              # Docker Compose configuration for multi-container setup\n├── requirements.txt                # Python dependencies for the project\n└── README.md                       # Project documentation\n```\n\n## Requirements\n\nTo run this project, you need to have the following installed:\n\n- Python 3.x\n- Docker\n- Docker Compose\n\n## Installation\n\n1. Clone the repository:\n   ```\n   git clone \u003crepository-url\u003e\n   cd EOS_connect\n   ```\n\n2. Install the required Python packages (for local usage):\n   ```\n   pip install -r requirements.txt\n   ```\n\n## Running the Application\n\n### Using Docker\n\n1. Build the Docker image:\n   ```\n   docker build -t eos_connect .\n   ```\n\n2. Run the application using Docker Compose:\n   ```\n   docker-compose up\n   ```\n\n### Running Locally\n\nIf you prefer to run the application locally without Docker, you can execute the following command:\n```\npython src/eos_connect.py\n```\n\n## Configuration\n\nConfiguration is described here [CONFIG_README](src/CONFIG_README.md)\n\n## Usage\n\nThe application will start fetching energy data from OpenHAB and processing it according to the defined logic in `src/eos_connect.py`. You can access the web interface at `http://localhost:8081`.\n\n## Contributing\n\nContributions are welcome! Please submit a pull request or open an issue for any suggestions or improvements.\n\n## License\n\nThis project is licensed under the MIT License. See the LICENSE file for more details.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fohand%2Feos_connect","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fohand%2Feos_connect","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fohand%2Feos_connect/lists"}