New Features for Creating Azure ML Workspace with the Help of AI

AzureML_AI.py

@@ -0,0 +1,86 @@
+import azureml.core
+from azureml.core import Workspace
+from dotenv import set_key, get_key, find_dotenv
+from pathlib import Path
+from AIHelpers.utilities import get_auth, AIErrorPredictor, AzureRegionRecommender
+import sys, getopt
+import logging
+
+# Configure logging
+logging.basicConfig(filename='aml_creation.log', level=logging.INFO, 
+                    format='%(asctime)s:%(levelname)s:%(message)s')
+
+def validate_input(subscription_id, resource_group, workspace_name, workspace_region):
+    # AI-driven validation of inputs
+    if not subscription_id:
+        logging.error("Subscription ID is missing")
+        raise ValueError("Subscription ID is required")
+    if not resource_group:
+        logging.error("Resource Group is missing")
+        raise ValueError("Resource Group is required")
+    if not workspace_name:
+        logging.error("Workspace Name is missing")
+        raise ValueError("Workspace Name is required")
+    if not workspace_region:
+        logging.warning("Workspace Region is missing. Suggesting optimal region...")
+        workspace_region = AzureRegionRecommender.recommend_region(subscription_id)
+        logging.info(f"Suggested region: {workspace_region}")
+    return workspace_region
+
+def main(argv):
+    try:
+        opts, args = getopt.getopt(argv, "hs:rg:wn:wr:", ["subscription_id=", "resource_group=", "workspace_name=", "workspace_region="])
+    except getopt.GetoptError:
+        print('aml_creation.py -s <subscription_id> -rg <resource_group> -wn <workspace_name> -wr <workspace_region>')
+        sys.exit(2)
+
+    subscription_id, resource_group, workspace_name, workspace_region = None, None, None, None
+
+    for opt, arg in opts:
+        if opt == '-h':
+            print('aml_creation.py -s <subscription_id> -rg <resource_group> -wn <workspace_name> -wr <workspace_region>')
+            sys.exit()
+        elif opt in ("-s", "--subscription_id"):
+            subscription_id = arg
+        elif opt in ("-rg", "--resource_group"):
+            resource_group = arg
+        elif opt in ("-wn", "--workspace_name"):
+            workspace_name = arg
+        elif opt in ("-wr", "--workspace_region"):
+            workspace_region = arg
+
+    try:
+        workspace_region = validate_input(subscription_id, resource_group, workspace_name, workspace_region)
+        env_path = find_dotenv()
+        if env_path == "":
+            Path(".env").touch()
+            env_path = find_dotenv()
+
+        # AI-driven error prediction
+        if AIErrorPredictor.predict_error(subscription_id, resource_group, workspace_name):
+            logging.warning("Potential error detected. Proceeding with caution...")
+
+        ws = Workspace.create(
+            name=workspace_name,
+            subscription_id=subscription_id,
+            resource_group=resource_group,
+            location=workspace_region,
+            create_resource_group=True,
+            auth=get_auth(env_path),
+            exist_ok=True,
+        )
+        logging.info("Workspace created successfully")
+
+    except Exception as e:
+        logging.error(f"Error occurred: {e}")
+        sys.exit(1)
+
+if __name__ == "__main__":
+    print("AML SDK Version:", azureml.core.VERSION)
+    main(sys.argv[1:])
+
+    # Azure resources for templating
+    subscription_id = "{{cookiecutter.subscription_id}}"
+    resource_group = "{{cookiecutter.resource_group}}"
+    workspace_name = "{{cookiecutter.workspace_name}}"
+    workspace_region = "{{cookiecutter.workspace_region}}"