Added get_latest_model method (#231)

diabetes_regression/evaluate/evaluate_model.py

@@ -26,7 +26,7 @@
 from azureml.core import Run
 import argparse
 import traceback
-from util.model_helper import get_model_by_tag
+from util.model_helper import get_latest_model
 
 run = Run.get_context()
 
@@ -45,7 +45,7 @@
 #         sources_dir = 'diabetes_regression'
 #     path_to_util = os.path.join(".", sources_dir, "util")
 #     sys.path.append(os.path.abspath(path_to_util))  # NOQA: E402
-#     from model_helper import get_model_by_tag
+#     from model_helper import get_latest_model
 #     workspace_name = os.environ.get("WORKSPACE_NAME")
 #     experiment_name = os.environ.get("EXPERIMENT_NAME")
 #     resource_group = os.environ.get("RESOURCE_GROUP")
@@ -108,7 +108,7 @@
     firstRegistration = False
     tag_name = 'experiment_name'
 
-    model = get_model_by_tag(
+    model = get_latest_model(
         model_name, tag_name, exp.name, ws)
 
     if (model is not None):

diabetes_regression/util/model_helper.py

@@ -22,20 +22,20 @@ def get_current_workspace() -> Workspace:
     return experiment.workspace
 
 
-def get_model_by_tag(
+def get_latest_model(
     model_name: str,
-    tag_name: str,
-    tag_value: str,
+    tag_name: str = None,
+    tag_value: str = None,
     aml_workspace: Workspace = None
 ) -> AMLModel:
     """
     Retrieves and returns the latest model from the workspace
-    by its name and tag.
+    by its name and (optional) tag.
 
     Parameters:
     aml_workspace (Workspace): aml.core Workspace that the model lives.
     model_name (str): name of the model we are looking for
-    tag (str): the tag value the model was registered under.
+    (optional) tag (str): the tag value & name the model was registered under.
 
     Return:
     A single aml model from the workspace that matches the name and tag.
@@ -44,37 +44,44 @@ def get_model_by_tag(
         # Validate params. cannot be None.
         if model_name is None:
             raise ValueError("model_name[:str] is required")
-        if tag_name is None:
-            raise ValueError("tag_name[:str] is required")
-        if tag_value is None:
-            raise ValueError("tag[:str] is required")
+
         if aml_workspace is None:
+            print("No workspace defined - using current experiment workspace.")
             aml_workspace = get_current_workspace()
 
-        # get model by tag.
-        model_list = AMLModel.list(
-            aml_workspace, name=model_name,
-            tags=[[tag_name, tag_value]], latest=True
-        )
+        model_list = None
+        tag_ext = ""
+
+        # Get lastest model
+        # True: by name and tags
+        if tag_name is not None and tag_value is not None:
+            model_list = AMLModel.list(
+                aml_workspace, name=model_name,
+                tags=[[tag_name, tag_value]], latest=True
+            )
+            tag_ext = f"tag_name: {tag_name}, tag_value: {tag_value}."
+        # False: Only by name
+        else:
+            model_list = AMLModel.list(
+                aml_workspace, name=model_name, latest=True)
 
         # latest should only return 1 model, but if it does,
         # then maybe sdk or source code changed.
-        should_not_happen = ("Found more than one model "
-                             "for the latest with {{tag_name: {tag_name},"
-                             "tag_value: {tag_value}. "
-                             "Models found: {model_list}}}")\
-            .format(tag_name=tag_name, tag_value=tag_value,
-                    model_list=model_list)
-        no_model_found = ("No Model found with {{tag_name: {tag_name} ,"
-                          "tag_value: {tag_value}.}}")\
-            .format(tag_name=tag_name, tag_value=tag_value)
+
+        # define the error messages
+        too_many_model_message = ("Found more than one latest model. "
+                                  f"Models found: {model_list}. "
+                                  f"{tag_ext}")
+
+        no_model_found_message = (f"No Model found with name: {model_name}. "
+                                  f"{tag_ext}")
 
         if len(model_list) > 1:
-            raise ValueError(should_not_happen)
+            raise ValueError(too_many_model_message)
         if len(model_list) == 1:
             return model_list[0]
         else:
-            print(no_model_found)
+            print(no_model_found_message)
             return None
     except Exception:
         raise

ml_service/pipelines/diabetes_regression_verify_train_pipeline.py

@@ -3,7 +3,7 @@
 import os
 from azureml.core import Run, Experiment, Workspace
 from ml_service.util.env_variables import Env
-from diabetes_regression.util.model_helper import get_model_by_tag
+from diabetes_regression.util.model_helper import get_latest_model
 
 
 def main():
@@ -53,7 +53,7 @@ def main():
 
     try:
         tag_name = 'BuildId'
-        model = get_model_by_tag(
+        model = get_latest_model(
             model_name, tag_name, build_id, exp.workspace)
         if (model is not None):
             print("Model was registered for this build.")