[formrecognizer] sample fixes (Azure#20964)

* remove passing api_version in v3.1.x samples and uncomment list models

* skip mgmt samples failing due to list models

Author: kristapratico

scripts/devops_tasks/test_run_samples.py

@@ -125,6 +125,10 @@
         "sample_list_translations_with_filters.py",
         "sample_translation_with_custom_model.py",
         "sample_translation_with_custom_model_async.py",
+    ],
+    "azure-ai-formrecognizer": [
+        "sample_manage_custom_models.py",
+        "sample_manage_custom_models_async.py",
     ]
 }
 

sdk/formrecognizer/azure-ai-formrecognizer/samples/v3.1/async_samples/sample_authentication_async.py

@@ -45,7 +45,7 @@ async def authentication_with_api_key_credential_form_recognizer_client_async(se
         endpoint = os.environ["AZURE_FORM_RECOGNIZER_ENDPOINT"]
         key = os.environ["AZURE_FORM_RECOGNIZER_KEY"]
 
-        form_recognizer_client = FormRecognizerClient(endpoint, AzureKeyCredential(key), api_version="2.1")
+        form_recognizer_client = FormRecognizerClient(endpoint, AzureKeyCredential(key))
         # [END create_fr_client_with_key_async]
         async with form_recognizer_client:
             poller = await form_recognizer_client.begin_recognize_content_from_url(self.url)
@@ -62,7 +62,7 @@ async def authentication_with_azure_active_directory_form_recognizer_client_asyn
         endpoint = os.environ["AZURE_FORM_RECOGNIZER_ENDPOINT"]
         credential = DefaultAzureCredential()
 
-        form_recognizer_client = FormRecognizerClient(endpoint, credential, api_version="2.1")
+        form_recognizer_client = FormRecognizerClient(endpoint, credential)
         # [END create_fr_client_with_aad_async]
         async with form_recognizer_client:
             poller = await form_recognizer_client.begin_recognize_content_from_url(self.url)
@@ -75,7 +75,7 @@ async def authentication_with_api_key_credential_form_training_client_async(self
         endpoint = os.environ["AZURE_FORM_RECOGNIZER_ENDPOINT"]
         key = os.environ["AZURE_FORM_RECOGNIZER_KEY"]
 
-        form_training_client = FormTrainingClient(endpoint, AzureKeyCredential(key), api_version="2.1")
+        form_training_client = FormTrainingClient(endpoint, AzureKeyCredential(key))
         # [END create_ft_client_with_key_async]
         async with form_training_client:
             properties = await form_training_client.get_account_properties()
@@ -91,7 +91,7 @@ async def authentication_with_azure_active_directory_form_training_client_async(
         endpoint = os.environ["AZURE_FORM_RECOGNIZER_ENDPOINT"]
         credential = DefaultAzureCredential()
 
-        form_training_client = FormTrainingClient(endpoint, credential, api_version="2.1")
+        form_training_client = FormTrainingClient(endpoint, credential)
         # [END create_ft_client_with_aad_async]
         async with form_training_client:
             properties = await form_training_client.get_account_properties()

sdk/formrecognizer/azure-ai-formrecognizer/samples/v3.1/async_samples/sample_copy_model_async.py

@@ -52,7 +52,7 @@ async def copy_model_async(self, custom_model_id):
         target_resource_id = os.environ["AZURE_FORM_RECOGNIZER_TARGET_RESOURCE_ID"]
 
         # [START get_copy_authorization_async]
-        target_client = FormTrainingClient(endpoint=target_endpoint, credential=AzureKeyCredential(target_key), api_version="2.1")
+        target_client = FormTrainingClient(endpoint=target_endpoint, credential=AzureKeyCredential(target_key))
 
         async with target_client:
             target = await target_client.get_copy_authorization(
@@ -64,7 +64,7 @@ async def copy_model_async(self, custom_model_id):
         # [END get_copy_authorization_async]
 
         # [START copy_model_async]
-        source_client = FormTrainingClient(endpoint=source_endpoint, credential=AzureKeyCredential(source_key), api_version="2.1")
+        source_client = FormTrainingClient(endpoint=source_endpoint, credential=AzureKeyCredential(source_key))
 
         async with source_client:
             poller = await source_client.begin_copy_model(
@@ -93,7 +93,7 @@ async def main():
             raise ValueError("Please provide endpoint and API key to run the samples.")
 
         form_training_client = FormTrainingClient(
-            endpoint=endpoint, credential=AzureKeyCredential(key), api_version="2.1"
+            endpoint=endpoint, credential=AzureKeyCredential(key)
         )
         async with form_training_client:
             model = await (await form_training_client.begin_training(

sdk/formrecognizer/azure-ai-formrecognizer/samples/v3.1/async_samples/sample_create_composed_model_async.py

@@ -53,7 +53,7 @@ async def create_composed_model_async(self):
         po_furniture = os.environ['PURCHASE_ORDER_OFFICE_FURNITURE_SAS_URL_V2']
         po_cleaning_supplies = os.environ['PURCHASE_ORDER_OFFICE_CLEANING_SUPPLIES_SAS_URL_V2']
 
-        form_training_client = FormTrainingClient(endpoint=endpoint, credential=AzureKeyCredential(key), api_version="2.1")
+        form_training_client = FormTrainingClient(endpoint=endpoint, credential=AzureKeyCredential(key))
         async with form_training_client:
             supplies_poller = await form_training_client.begin_training(
                 po_supplies, use_training_labels=True, model_name="Purchase order - Office supplies"

sdk/formrecognizer/azure-ai-formrecognizer/samples/v3.1/async_samples/sample_differentiate_output_labeled_tables_async.py

@@ -53,7 +53,7 @@ async def test_recognize_tables_fixed_rows_async(self, custom_model_id):
         model_id_fixed_rows_table = os.getenv("MODEL_ID_FIXED_ROW_TABLES", custom_model_id)
 
         form_recognizer_client = FormRecognizerClient(
-            endpoint=endpoint, credential=AzureKeyCredential(key), api_version="2.1"
+            endpoint=endpoint, credential=AzureKeyCredential(key)
         )
 
         path_to_sample_forms = os.path.abspath(os.path.join(os.path.abspath(__file__),
@@ -96,7 +96,7 @@ async def test_recognize_tables_dynamic_rows_async(self, custom_model_id):
         model_id_dynamic_rows_table = os.getenv("MODEL_ID_DYNAMIC_ROW_TABLES", custom_model_id)
 
         form_recognizer_client = FormRecognizerClient(
-            endpoint=endpoint, credential=AzureKeyCredential(key), api_version="2.1"
+            endpoint=endpoint, credential=AzureKeyCredential(key)
         )
 
         path_to_sample_forms = os.path.abspath(os.path.join(os.path.abspath(__file__),
@@ -149,7 +149,7 @@ async def main():
             raise ValueError("Please provide endpoint and API key to run the samples.")
 
         form_training_client = FormTrainingClient(
-            endpoint=endpoint, credential=AzureKeyCredential(key), api_version="2.1"
+            endpoint=endpoint, credential=AzureKeyCredential(key)
         )
 
         async with form_training_client:

sdk/formrecognizer/azure-ai-formrecognizer/samples/v3.1/async_samples/sample_differentiate_output_models_trained_with_and_without_labels_async.py

@@ -59,7 +59,7 @@ async def recognize_custom_forms(self, labeled_model_id, unlabeled_model_id):
 
         path_to_sample_forms = os.path.abspath(os.path.join(os.path.abspath(__file__), "..", "..", "..", "./sample_forms/forms/Form_1.jpg"))
         async with FormRecognizerClient(
-            endpoint=endpoint, credential=AzureKeyCredential(key), api_version="2.1"
+            endpoint=endpoint, credential=AzureKeyCredential(key)
         ) as form_recognizer_client:
 
             with open(path_to_sample_forms, "rb") as f:
@@ -143,7 +143,7 @@ async def main():
             raise ValueError("Please provide endpoint and API key to run the samples.")
 
         form_training_client = FormTrainingClient(
-            endpoint=endpoint, credential=AzureKeyCredential(key), api_version="2.1"
+            endpoint=endpoint, credential=AzureKeyCredential(key)
         )
 
         async with form_training_client:

sdk/formrecognizer/azure-ai-formrecognizer/samples/v3.1/async_samples/sample_get_bounding_boxes_async.py

@@ -51,7 +51,7 @@ async def get_bounding_boxes(self, custom_model_id):
         model_id = os.getenv("CUSTOM_TRAINED_MODEL_ID", custom_model_id)
 
         form_recognizer_client = FormRecognizerClient(
-            endpoint=endpoint, credential=AzureKeyCredential(key), api_version="2.1"
+            endpoint=endpoint, credential=AzureKeyCredential(key)
         )
 
         path_to_sample_forms = os.path.abspath(os.path.join(os.path.abspath(__file__),
@@ -135,7 +135,7 @@ async def main():
             raise ValueError("Please provide endpoint and API key to run the samples.")
 
         form_training_client = FormTrainingClient(
-            endpoint=endpoint, credential=AzureKeyCredential(key), api_version="2.1"
+            endpoint=endpoint, credential=AzureKeyCredential(key)
         )
         async with form_training_client:
             model = await (await form_training_client.begin_training(

sdk/formrecognizer/azure-ai-formrecognizer/samples/v3.1/async_samples/sample_manage_custom_models_async.py

@@ -39,7 +39,7 @@ async def manage_custom_models(self):
 
         # [START get_account_properties_async]
         async with FormTrainingClient(
-            endpoint=endpoint, credential=AzureKeyCredential(key), api_version="2.1"
+            endpoint=endpoint, credential=AzureKeyCredential(key)
         ) as form_training_client:
             # First, we see how many custom models we have, and what our limit is
             account_properties = await form_training_client.get_account_properties()
@@ -52,9 +52,9 @@ async def manage_custom_models(self):
             # [START list_custom_models_async]
             custom_models = form_training_client.list_custom_models()
 
-            # print("We have models with the following IDs:")  TODO list models is returning null for some models
-            # async for model in custom_models:
-            #     print(model.model_id)
+            print("We have models with the following IDs:")
+            async for model in custom_models:
+                print(model.model_id)
             # [END list_custom_models_async]
 
             # let's train a model to use for this sample

sdk/formrecognizer/azure-ai-formrecognizer/samples/v3.1/async_samples/sample_recognize_business_cards_async.py

@@ -41,7 +41,7 @@ async def recognize_business_card_async(self):
         key = os.environ["AZURE_FORM_RECOGNIZER_KEY"]
 
         form_recognizer_client = FormRecognizerClient(
-            endpoint=endpoint, credential=AzureKeyCredential(key), api_version="2.1"
+            endpoint=endpoint, credential=AzureKeyCredential(key)
         )
         async with form_recognizer_client:
             with open(path_to_sample_forms, "rb") as f:

sdk/formrecognizer/azure-ai-formrecognizer/samples/v3.1/async_samples/sample_recognize_content_async.py

@@ -48,7 +48,7 @@ async def recognize_content(self):
         key = os.environ["AZURE_FORM_RECOGNIZER_KEY"]
 
         async with FormRecognizerClient(
-            endpoint=endpoint, credential=AzureKeyCredential(key), api_version="2.1"
+            endpoint=endpoint, credential=AzureKeyCredential(key)
         ) as form_recognizer_client:
 
             with open(path_to_sample_forms, "rb") as f: