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Pipeline\n\nThis repository automates the collection and deployment of KBO data using Apache Airflow.\nIt manages the entire data flow from collection to visualization in the KBO Data Portal.\n\n## Feature\n\n- Automates data collection and processing using Apache Airflow\n- Docker Compose-based deployment for local development\n- Integrates with Collector and API Server via Git submodules\n- Manages ETL workflows and data flow to visualization layer\n\n## Installation\n\n1. **Clone the repository with submodules**\n\n   ```bash\n   git clone --recurse-submodules https://github.com/kbo-data-portal/pipeline.git\n   cd pipeline\n   ```\n\n   Ensure that your GCP service account key is placed in the `config` folder and renamed to `key.json`.\n\n2. **Initialize submodules (if not cloned with --recurse-submodules)**\n\n   ```bash\n   git submodule update --init --remote\n   ```\n\n## Usage\n\n1. **Start Airflow services using Docker Compose**\n\n   ```bash\n   docker-compose up -d\n   ```\n\n2. **Access the Airflow Web UI**\n\n- Open your browser and navigate to http://localhost:8080/\n- Login credentials:\n  - Username: `admin`\n  - Password: `admin`\n\n3. **Update submodules (if needed)**\n\n   ```bash\n   git submodule update --remote\n   ```\n\n## Submodules\n\nThis project uses Git submodules to manage external components:\n\n- [`collector`](https://github.com/kbo-data-portal/collector): Handles data collection logic.\n- [`api-server`](https://github.com/kbo-data-portal/api-server): Flask-based web application for data visualization.\n\n## License\n\nThis project is licensed under the **MIT License**. See the [LICENSE](LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkbo-data-portal%2Fpipeline","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkbo-data-portal%2Fpipeline","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkbo-data-portal%2Fpipeline/lists"}