docker_run.sh

#!/bin/bash

# Configuration
IMAGE_NAME="your-image-name"
CONTAINER_NAME="data_packager"  # Name for the container
HOST_DATA_FOLDER="path/to/data/folder"  #TODO: Replace with the path to your host data folder
CONTAINER_DATA_FOLDER="/data"  # Folder inside the container
HOST_OUTPUT_FOLDER="path/to/output/folder" #TODO: Replace with the path to your host output folder
CONTAINER_OUTPUT_FOLDER="/output" # Folder inside the container
HOST_BUFFER_FOLDER="path/to/buffer/folder" #TODO: Replace with the path to your host buffer folder
CONTAINER_BUFFER_FOLDER="/buffer" # Folder inside the container
HOST_REPO_FOLDER="path/to/this/repo" #TODO: Replace with the path to this repo
CONTAINER_REPO_FOLDER="/data_packaging" # Folder inside the container
NUM_THREADS="2" #TODO: Number of threads used by the data packager

# Start the Docker container in the background with volume mapping
docker run -it --rm \
    --name $CONTAINER_NAME \
    -v $HOST_DATA_FOLDER:$CONTAINER_DATA_FOLDER \
    -v $HOST_OUTPUT_FOLDER:$CONTAINER_OUTPUT_FOLDER\
    -v $HOST_BUFFER_FOLDER:$CONTAINER_BUFFER_FOLDER\
    -v $HOST_REPO_FOLDER:$CONTAINER_REPO_FOLDER\
    $IMAGE_NAME \
    python3 /data_packaging/continuous_process.py -d /data -o /output -b /buffer -n $NUM_THREADS

echo "Command executed and container cleaned up."