Sync ml-dev changes to main

src/machinelearningservices/CHANGELOG.rst

@@ -1,3 +1,9 @@
+## 2026-01-06
+
+### Azure Machine Learning CLI (v2) v 2.41.0
+
+- Drop Python 3.7, 3.8 and 3.9 support
+
 ## 2025-11-11
 
 ### Azure Machine Learning CLI (v2) v 2.40.1

src/machinelearningservices/azext_mlv2/manual/custom/deployment_template.py

@@ -32,7 +32,6 @@ def ml_deployment_template_list(cmd, registry_name=None):
     ml_client, debug = get_ml_client(
         cli_ctx=cmd.cli_ctx, registry_name=registry_name
     )
-
     try:
         deployment_templates = ml_client.deployment_templates.list()
         # Handle DeploymentTemplate serialization - try as_dict() first, then _to_dict()
@@ -59,7 +58,6 @@ def ml_deployment_template_show(cmd, name, version=None, registry_name=None):
     ml_client, debug = get_ml_client(
         cli_ctx=cmd.cli_ctx, registry_name=registry_name
     )
-
     try:
         deployment_template = ml_client.deployment_templates.get(name=name, version=version)
         # Handle DeploymentTemplate serialization
@@ -96,7 +94,6 @@ def ml_deployment_template_create(
             params_override.append({"name": name})
         if version:
             params_override.append({"version": version})
-
         if load_deployment_template:
             deployment_template = load_deployment_template(source=file, params_override=params_override)
         else:
@@ -199,7 +196,6 @@ def ml_deployment_template_archive(
     ml_client, debug = get_ml_client(
         cli_ctx=cmd.cli_ctx, registry_name=registry_name
     )
-
     try:
         ml_client.deployment_templates.archive(name=name, version=version)
     except Exception as err:  # pylint: disable=broad-except
@@ -218,7 +214,6 @@ def ml_deployment_template_restore(
     ml_client, debug = get_ml_client(
         cli_ctx=cmd.cli_ctx, registry_name=registry_name
     )
-
     try:
         ml_client.deployment_templates.restore(name=name, version=version)
     except Exception as err:  # pylint: disable=broad-except

src/machinelearningservices/azext_mlv2/manual/requirements.txt

@@ -2,4 +2,4 @@ cryptography
 docker
 azure-mgmt-resourcegraph<9.0.0,>=2.0.0
 azure-identity==1.17.1
-azure-ai-ml==1.30.0
+azure-ai-ml==1.31.0

src/machinelearningservices/azext_mlv2/tests/test_configs/deployment_template/deployment_template_advanced.yaml

@@ -0,0 +1,42 @@
+name: advanced-deployment-template
+version: "2"
+description: Advanced deployment template with multiple endpoints for testing
+tags:
+  environment: development
+  team: ml-platform
+  cost-center: "12345"
+endpoints:
+  - name: primary
+    traffic: 80
+    deployment:
+      model:
+        name: advanced-model
+        version: "2"
+      environment:
+        name: advanced-env
+        version: "1"
+      instance_count: 3
+      instance_type: Standard_DS3_v2
+      code_configuration:
+        scoring_script: score.py
+        code: src/
+      scale_settings:
+        type: target_utilization
+        target_utilization_percentage: 70
+        min_instances: 1
+        max_instances: 10
+  - name: canary
+    traffic: 20
+    deployment:
+      model:
+        name: canary-model
+        version: "1"
+      environment:
+        name: canary-env
+        version: "1"
+      instance_count: 1
+      instance_type: Standard_DS2_v2
+      code_configuration:
+        scoring_script: score_canary.py
+      scale_settings:
+        type: default

src/machinelearningservices/azext_mlv2/tests/test_configs/deployment_template/deployment_template_basic.yaml

@@ -37,6 +37,6 @@ environment_variables:
  MODEL_BASE_PATH: /var/azureml-app/azureml-models/tfs-model1/1 
  MODEL_NAME: half_plus_two 
  ENABLE_INFERENCESERVER_DIAGNOSTICSLOG_AML_VISIBILITY: True 
-allowed_instance_type: Standard_DS3_v2 Standard_DS4_v2 
+allowed_instance_types: Standard_DS3_v2 Standard_DS4_v2 
 default_instance_type: Standard_DS3_v2 
 instance_count: 3 

src/machinelearningservices/azext_mlv2/tests/test_configs/deployment_template/deployment_template_minimal.yaml

@@ -0,0 +1,15 @@
+name: minimal-deployment-template
+version: "1"
+description: Minimal deployment template for basic testing
+endpoints:
+  - name: simple
+    traffic: 100
+    deployment:
+      model:
+        name: simple-model
+        version: "1"
+      environment:
+        name: simple-env
+        version: "1"
+      instance_count: 1
+      instance_type: Standard_DS1_v2

src/machinelearningservices/setup.py

@@ -10,7 +10,7 @@
 from setuptools import setup, find_packages
 
 # HISTORY.rst entry.
-VERSION = '2.40.1'
+VERSION = '2.41.0'
 
 # The full list of classifiers is available at
 # https://pypi.python.org/pypi?%3Aaction=list_classifiers
@@ -21,9 +21,6 @@
     'Environment :: Console',
     'Programming Language :: Python',
     'Programming Language :: Python :: 3',
-    'Programming Language :: Python :: 3.7',
-    'Programming Language :: Python :: 3.8',
-    'Programming Language :: Python :: 3.9',
     'Programming Language :: Python :: 3.10',
     'Programming Language :: Python :: 3.11',
     'Programming Language :: Python :: 3.12',