create Julia server

Dockerfile

-FROM python:3.12.6-slim-bullseye
-
-# update system and install required software
-RUN apt update && /usr/local/bin/python -m pip install --upgrade pip && apt install git -y
-#&& pip install poetry
+FROM julia:1.11.2-bullseye
 
 # copy data
 COPY data/aster30m/*.tif /app/data/aster30m/
 
 # copy required software & data
-WORKDIR /app
-COPY other /app/other
+#WORKDIR /app
+COPY run.sh /app/other/run.sh
+COPY start_server.jl /app/other/start_server.jl
+COPY *.toml /app/other/
 
 # Ensure the script is executable
-RUN chmod +x /app/other/load_server_package.sh
-
-# setup the python environment
-RUN /app/other/load_server_package.sh
+RUN chmod +x /app/other/run.sh
 
 # start server & expose port
 CMD ["sh", "/app/other/run.sh"]

Project.toml

+[deps]
+PolygonQueryOnRaster = "87e1e4ff-bd71-4e87-8a62-f5cdf45a2f68"

other/load_server_package.sh

-#!/usr/bin/env bash
-
-pip install polygonqueryonraster --index-url https://git.nilu.no/api/v4/projects/1217/packages/pypi/simple
-

other/run.sh

-#!/usr/bin/env bash
-
-python /app/other/start.py

other/start.py

-from polygonqueryonraster.app import GeoTIFFService
-
-if __name__ == "__main__":
-    """
-    Main execution point for running the GeoTIFFService as a standalone application.
-
-    This script initializes and starts the GeoTIFFService with a predefined data directory and port number.
-    It's designed to be run directly from the command line and is useful for quick setups or testing.
-
-    The GeoTIFFService is configured to analyze the GeoTIFF files located in the specified directory.
-    It sets up a Flask-based web server to listen for incoming requests for geospatial analysis.
-
-    Configuration:
-    - Data Directory: The directory where GeoTIFF files are stored. This should be an absolute path.
-    - Port Number: The port number on which the Flask web server will run.
-    - Categorical Analysis: Indicates whether the analysis should be categorical. It's set to 'false' by default.
-
-    Example:
-        When this script is run, it starts the GeoTIFFService on the specified port and ready to process
-        requests on GeoTIFF files located in the specified data directory.
-
-    Usage:
-        python scriptname.py
-
-    Note:
-        To use this script, ensure that the 'polygonqueryonraster' package is installed and accessible in your
-        Python environment. Modify the 'data_directory' and 'port_number' variables as needed for your setup.
-    """
-
-    data_directory = '/app/data/aster30m'  # Specify your local data directory
-    port_number = 5000  # Specify the custom port number
-    categorical = False  # Specify whether the analysis is categorical
-
-    service = GeoTIFFService(directory=data_directory, port=port_number, categorical=categorical)
-    service.run()

run.sh

+#!/bin/bash
+julia --project=@. start_server.jl > server.log 2>&1 &

start_server.jl

+using PolygonQueryOnRaster
+
+# Configuration
+data_directory = "./data"  # Replace with the path to your GeoTIFF files
+port_number = 5000               # Replace with the desired port
+categorical = false              # Set to true if analysis is categorical
+concurrent_processes = 4         # Number of concurrent processes
+
+# Create and run the service
+service = GeoTIFFService(data_directory, port_number, categorical, concurrent_processes)
+run(service)