Added ChatGPT version of the script.

configuration/parse_yaml_CGPT.py

@@ -0,0 +1,53 @@
+import yaml
+import os
+
+# Constants
+DEFAULT_PORT = 5123
+RUN_PATH = './Desktop/illuminatorclient/configuration/runshfile/'
+RUN_MODEL = '/home/illuminator/Desktop/Final_illuminator'
+
+def load_yaml(file_path):
+    """Loads a YAML file and returns its content."""
+    try:
+        with open(file_path, 'r') as file:
+            return yaml.safe_load(file)
+    except FileNotFoundError:
+        print(f"Error: The file {file_path} was not found.")
+        return None
+    except yaml.YAMLError as exc:
+        print(f"Error while parsing YAML: {exc}")
+        return None
+
+def build_run_command(model_type, connect_ip, connect_port):
+    """Builds the SSH run command for a given model."""
+    return f"lxterminal -e ssh illuminator@{connect_ip} '{RUN_PATH}run{model_type}.sh {connect_ip} {connect_port} {RUN_MODEL}'&"
+
+def process_models(data):
+    """Processes each model in the YAML data."""
+    if 'models' not in data:
+        print("Error: No 'models' key found in the YAML data.")
+        return
+
+    for model in data['models']:
+        model_type = model.get('type', 'unknown')
+
+        # Extract connection details
+        connect = model.get('connect', {})
+        connect_ip = connect.get('ip')
+        connect_port = connect.get('port', DEFAULT_PORT)
+
+        # Ensure both IP and port are available
+        if connect_ip:
+            run_command = build_run_command(model_type, connect_ip, connect_port)
+            print(run_command)
+
+def main():
+    yaml_file = 'modelling-example.yaml'
+    data = load_yaml(yaml_file)
+
+    if data:
+        process_models(data)
+
+if __name__ == "__main__":
+    main()
+