Introduction

This sample is there to show how a Dockerfile needs to be structured to be able to run the dynamic-container-job pipeline in the Gaia-X 4 Future Mobility / PLC-AAD project. This Dockerfile uses a simple python script that reads a file from the mounted volume and writes the result to another file.

Prerequisites

Docker installation or Docker daemon running or podman installed.

Usage

Python script

• The python script copy_file.py is located in the src directory. It counts files from the mounted input volume and writes the result to another file located in the output volume.
• The script expects the input data in /data/input.
• The script writes the result to /data/output.

Docker

Docker build

docker build -t dynamic-container-job-sample:1.0.0 .

Docker run

docker run -v "/path/to/your/input-dir:/data/input" -v "/path/to/your/output-dir:/data/output" dynamic-container-job-sample:1.0.0

Docker-compose

Docker-compose build

docker-compose build

Docker-compose run

docker-compose up -d

Docker-compose down

docker-compose down

Note: Replace /path/to/your/input-dir and /path/to/your/output-dir with the paths to your input and output directories.

Note: You need to pass an absolute path to the directories. If running on windows make sure to use the correct path format (c:\path\to\your\input-dir).