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CEBA_Process\n\n**Automated CEBA Process — Google Cloud Platform**\n\nThis repository contains a simplified, demonstration version of a real-world GCP project.\nIt illustrates the structure, configurations, and code required to automate CEBA process using **Google Cloud Platform** services.\n\n---\n\n## Repository Structure\n\n| File/Folder                 | Purpose                                                                                                                                                                                                    |\n| --------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| **`ceba_automation_v1.py`** | Python scripts containing SQL queries for extracting data, python functions to transform data and eventually load processed data into **BigQuery** target tables.\\_                                        |\n| **`accp.yaml`**             | Pipeline configuration file defining build instructions for the container image, including image name, build context, and other ACCP pipeline parameters. \u003cbr\u003e_Referenced during pipeline initialization._ |\n| **`Dockerfile`**            | Image build specification defining the base image, system dependencies, and Python packages required to execute the scripts. \u003cbr\u003e_Referenced in `accp.yaml`._                                              |\n| **`requirements.txt`**      | List of Python dependencies to be installed in the image environment. \u003cbr\u003e_Referenced in the `Dockerfile`._                                                                                                |\n| **`ceba_dag.py`**           | **Apache Airflow DAG** for orchestrating and scheduling the end-to-end process. References the container image built from the above files and defines execution logic and scheduling parameters.           |\n\n---\n\n## Workflow Overview\n\n1. **Code and Configuration** — Python scripts, configuration files, and dependencies are stored in this repository.\n2. **Image Build** — The ACCP pipeline uses `accp.yaml`, `Dockerfile` and `requirement.txt` to build a container image with all required dependencies.\n3. **Data Processing** — The container runs Python scripts to fetch, transform, and load data into BigQuery.\n4. **Orchestration** — Airflow triggers the container execution according to the schedule defined in `ceba_dag.py`.\n\n---\n\n![CEBA Process Diagram](/CEBA_Process_Diagram.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falexye-mapleleafs%2Fceba_process","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falexye-mapleleafs%2Fceba_process","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falexye-mapleleafs%2Fceba_process/lists"}