Make use_training_labels positional required

sdk/formrecognizer/azure-ai-formrecognizer/CHANGELOG.md

@@ -14,11 +14,10 @@
 - `FormField` does not have a page_number.
 - `begin_recognize_receipts` APIs now return `RecognizedReceipt` instead of `USReceipt`
 - `USReceiptType` is renamed to `ReceiptType`
+- `use_training_labels` is now a required positional param in the `begin_training` APIs.
 - `stream` and `url` parameters found on methods for `FormRecognizerClient` have been renamed to `form` and `form_url`, respectively.
 For recognize receipt methods, parameters have been renamed to `receipt` and `receipt_url`.
 
-
-
 **New features**
 
 - Authentication using `azure-identity` credentials now supported

sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/_form_training_client.py

@@ -7,7 +7,6 @@
 # pylint: disable=protected-access
 
 from typing import (
-    Optional,
     Any,
     Iterable,
     Union,
@@ -79,8 +78,8 @@ def __init__(self, endpoint, credential, **kwargs):
         )
 
     @distributed_trace
-    def begin_train_model(self, training_files_url, use_training_labels=False, **kwargs):
-        # type: (str, Optional[bool], Any) -> LROPoller
+    def begin_train_model(self, training_files_url, use_training_labels, **kwargs):
+        # type: (str, bool, Any) -> LROPoller
         """Create and train a custom model. The request must include a `training_files_url` parameter that is an
         externally accessible Azure storage blob container Uri (preferably a Shared Access Signature Uri).
         Models are trained using documents that are of the following content type - 'application/pdf',

sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/aio/_form_training_client_async.py

@@ -7,7 +7,6 @@
 # pylint: disable=protected-access
 
 from typing import (
-    Optional,
     Any,
     Union,
     AsyncIterable,
@@ -87,7 +86,7 @@ def __init__(
     async def train_model(
             self,
             training_files_url: str,
-            use_training_labels: Optional[bool] = False,
+            use_training_labels: bool,
             **kwargs: Any
     ) -> CustomFormModel:
         """Create and train a custom model. The request must include a `training_files_url` parameter that is an

sdk/formrecognizer/azure-ai-formrecognizer/samples/async_samples/sample_train_model_without_labels_async.py

@@ -43,7 +43,7 @@ async def train_model_without_labels(self):
         ) as form_training_client:
 
             # Default for train_model is `use_training_labels=False`
-            model = await form_training_client.train_model(self.container_sas_url)
+            model = await form_training_client.train_model(self.container_sas_url, use_training_labels=False)
 
             # Custom model information
             print("Model ID: {}".format(model.model_id))

sdk/formrecognizer/azure-ai-formrecognizer/samples/sample_train_model_without_labels.py

@@ -40,7 +40,7 @@ def train_model_without_labels(self):
         form_training_client = FormTrainingClient(self.endpoint, AzureKeyCredential(self.key))
 
         # Default for begin_train_model is `use_training_labels=False`
-        poller = form_training_client.begin_train_model(self.container_sas_url)
+        poller = form_training_client.begin_train_model(self.container_sas_url, use_training_labels=False)
         model = poller.result()
 
         # Custom model information

sdk/formrecognizer/azure-ai-formrecognizer/tests/test_custom_forms.py

@@ -58,7 +58,7 @@ def test_auto_detect_unsupported_stream_content(self, resource_group, location,
     def test_custom_form_damaged_file(self, client, container_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        poller = client.begin_train_model(container_sas_url)
+        poller = client.begin_train_model(container_sas_url, use_training_labels=False)
         model = poller.result()
 
         with self.assertRaises(HttpResponseError):
@@ -73,7 +73,7 @@ def test_custom_form_damaged_file(self, client, container_sas_url):
     def test_custom_form_unlabeled(self, client, container_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        poller = client.begin_train_model(container_sas_url)
+        poller = client.begin_train_model(container_sas_url, use_training_labels=False)
         model = poller.result()
 
         with open(self.form_jpg, "rb") as stream:
@@ -98,7 +98,7 @@ def test_custom_form_unlabeled(self, client, container_sas_url):
     def test_custom_form_multipage_unlabeled(self, client, container_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        poller = client.begin_train_model(container_sas_url)
+        poller = client.begin_train_model(container_sas_url, use_training_labels=False)
         model = poller.result()
 
         with open(self.multipage_invoice_pdf, "rb") as stream:
@@ -179,7 +179,7 @@ def test_custom_form_multipage_labeled(self, client, container_sas_url):
     def test_custom_form_unlabeled_transform(self, client, container_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        poller = client.begin_train_model(container_sas_url)
+        poller = client.begin_train_model(container_sas_url, use_training_labels=False)
         model = poller.result()
 
         responses = []
@@ -216,7 +216,7 @@ def callback(raw_response, _, headers):
     def test_custom_form_multipage_unlabeled_transform(self, client, container_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        poller = client.begin_train_model(container_sas_url)
+        poller = client.begin_train_model(container_sas_url, use_training_labels=False)
         model = poller.result()
 
         responses = []

sdk/formrecognizer/azure-ai-formrecognizer/tests/test_custom_forms_async.py

@@ -60,7 +60,7 @@ async def test_auto_detect_unsupported_stream_content(self, resource_group, loca
     async def test_custom_form_damaged_file(self, client, container_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        model = await client.train_model(container_sas_url)
+        model = await client.train_model(container_sas_url, use_training_labels=False)
 
         with self.assertRaises(HttpResponseError):
             form = await fr_client.recognize_custom_forms(
@@ -73,7 +73,7 @@ async def test_custom_form_damaged_file(self, client, container_sas_url):
     async def test_custom_form_unlabeled(self, client, container_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        model = await client.train_model(container_sas_url)
+        model = await client.train_model(container_sas_url, use_training_labels=False)
 
         with open(self.form_jpg, "rb") as fd:
             myfile = fd.read()
@@ -94,7 +94,7 @@ async def test_custom_form_unlabeled(self, client, container_sas_url):
     async def test_custom_form_multipage_unlabeled(self, client, container_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        model = await client.train_model(container_sas_url)
+        model = await client.train_model(container_sas_url, use_training_labels=False)
 
         with open(self.multipage_invoice_pdf, "rb") as fd:
             myfile = fd.read()
@@ -168,7 +168,7 @@ async def test_custom_form_multipage_labeled(self, client, container_sas_url):
     async def test_form_unlabeled_transform(self, client, container_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        model = await client.train_model(container_sas_url)
+        model = await client.train_model(container_sas_url, use_training_labels=False)
 
         responses = []
 
@@ -204,7 +204,7 @@ def callback(raw_response, _, headers):
     async def test_custom_forms_multipage_unlabeled_transform(self, client, container_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        model = await client.train_model(container_sas_url)
+        model = await client.train_model(container_sas_url, use_training_labels=False)
 
         responses = []
 

sdk/formrecognizer/azure-ai-formrecognizer/tests/test_custom_forms_from_url.py

@@ -69,7 +69,7 @@ def test_custom_form_bad_url(self, client, container_sas_url):
     def test_custom_form_unlabeled(self, client, container_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        poller = client.begin_train_model(container_sas_url)
+        poller = client.begin_train_model(container_sas_url, use_training_labels=False)
         model = poller.result()
 
         poller = fr_client.begin_recognize_custom_forms_from_url(model.model_id, self.form_url_jpg)
@@ -89,7 +89,7 @@ def test_custom_form_unlabeled(self, client, container_sas_url):
     def test_form_multipage_unlabeled(self, client, container_sas_url, blob_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        poller = client.begin_train_model(container_sas_url)
+        poller = client.begin_train_model(container_sas_url, use_training_labels=False)
         model = poller.result()
 
         poller = fr_client.begin_recognize_custom_forms_from_url(
@@ -159,7 +159,7 @@ def test_form_multipage_labeled(self, client, container_sas_url, blob_sas_url):
     def test_custom_form_unlabeled_transform(self, client, container_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        poller = client.begin_train_model(container_sas_url)
+        poller = client.begin_train_model(container_sas_url, use_training_labels=False)
         model = poller.result()
 
         responses = []
@@ -193,7 +193,7 @@ def callback(raw_response, _, headers):
     def test_custom_form_multipage_unlabeled_transform(self, client, container_sas_url, blob_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        poller = client.begin_train_model(container_sas_url)
+        poller = client.begin_train_model(container_sas_url, use_training_labels=False)
         model = poller.result()
 
         responses = []

sdk/formrecognizer/azure-ai-formrecognizer/tests/test_custom_forms_from_url_async.py

@@ -67,7 +67,7 @@ async def test_form_bad_url(self, client, container_sas_url):
     async def test_form_unlabeled(self, client, container_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        model = await client.train_model(container_sas_url)
+        model = await client.train_model(container_sas_url, use_training_labels=False)
 
         form = await fr_client.recognize_custom_forms_from_url(model.model_id, self.form_url_jpg)
 
@@ -85,7 +85,7 @@ async def test_form_unlabeled(self, client, container_sas_url):
     async def test_custom_form_multipage_unlabeled(self, client, container_sas_url, blob_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        model = await client.train_model(container_sas_url)
+        model = await client.train_model(container_sas_url, use_training_labels=False)
 
         forms = await fr_client.recognize_custom_forms_from_url(
             model.model_id,
@@ -148,7 +148,7 @@ async def test_form_multipage_labeled(self, client, container_sas_url, blob_sas_
     async def test_form_unlabeled_transform(self, client, container_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        model = await client.train_model(container_sas_url)
+        model = await client.train_model(container_sas_url, use_training_labels=False)
 
         responses = []
 
@@ -181,7 +181,7 @@ def callback(raw_response, _, headers):
     async def test_multipage_unlabeled_transform(self, client, container_sas_url, blob_sas_url):
         fr_client = client.get_form_recognizer_client()
 
-        model = await client.train_model(container_sas_url)
+        model = await client.train_model(container_sas_url, use_training_labels=False)
 
         responses = []
 

sdk/formrecognizer/azure-ai-formrecognizer/tests/test_mgmt.py

@@ -92,7 +92,7 @@ def test_mgmt_model_labeled(self, client, container_sas_url):
     @GlobalTrainingAccountPreparer()
     def test_mgmt_model_unlabeled(self, client, container_sas_url):
 
-        poller = client.begin_train_model(container_sas_url)
+        poller = client.begin_train_model(container_sas_url, use_training_labels=False)
         unlabeled_model_from_train = poller.result()
 
         unlabeled_model_from_get = client.get_custom_model(unlabeled_model_from_train.model_id)

sdk/formrecognizer/azure-ai-formrecognizer/tests/test_mgmt_async.py

@@ -91,7 +91,7 @@ async def test_mgmt_model_labeled(self, client, container_sas_url):
     @GlobalFormRecognizerAccountPreparer()
     @GlobalTrainingAccountPreparer()
     async def test_mgmt_model_unlabeled(self, client, container_sas_url):
-        unlabeled_model_from_train = await client.train_model(container_sas_url)
+        unlabeled_model_from_train = await client.train_model(container_sas_url, use_training_labels=False)
 
         unlabeled_model_from_get = await client.get_custom_model(unlabeled_model_from_train.model_id)
 

sdk/formrecognizer/azure-ai-formrecognizer/tests/test_training.py

@@ -23,13 +23,13 @@ class TestTraining(FormRecognizerTest):
     def test_training_auth_bad_key(self, resource_group, location, form_recognizer_account, form_recognizer_account_key):
         client = FormTrainingClient(form_recognizer_account, AzureKeyCredential("xxxx"))
         with self.assertRaises(ClientAuthenticationError):
-            poller = client.begin_train_model("xx")
+            poller = client.begin_train_model("xx", use_training_labels=False)
 
     @GlobalFormRecognizerAccountPreparer()
     @GlobalTrainingAccountPreparer()
     def test_training(self, client, container_sas_url):
 
-        poller = client.begin_train_model(training_files_url=container_sas_url)
+        poller = client.begin_train_model(training_files_url=container_sas_url, use_training_labels=False)
         model = poller.result()
 
         self.assertIsNotNone(model.model_id)
@@ -52,7 +52,7 @@ def test_training(self, client, container_sas_url):
     @GlobalTrainingAccountPreparer(multipage=True)
     def test_training_multipage(self, client, container_sas_url):
 
-        poller = client.begin_train_model(container_sas_url)
+        poller = client.begin_train_model(container_sas_url, use_training_labels=False)
         model = poller.result()
 
         self.assertIsNotNone(model.model_id)
@@ -83,7 +83,7 @@ def callback(response):
             raw_response.append(raw_model)
             raw_response.append(custom_model)
 
-        poller = client.begin_train_model(training_files_url=container_sas_url, cls=callback)
+        poller = client.begin_train_model(training_files_url=container_sas_url, use_training_labels=False, cls=callback)
         model = poller.result()
 
         raw_model = raw_response[0]
@@ -102,7 +102,7 @@ def callback(response):
             raw_response.append(raw_model)
             raw_response.append(custom_model)
 
-        poller = client.begin_train_model(container_sas_url, cls=callback)
+        poller = client.begin_train_model(container_sas_url, use_training_labels=False, cls=callback)
         model = poller.result()
 
         raw_model = raw_response[0]
@@ -199,16 +199,16 @@ def callback(response):
     @GlobalTrainingAccountPreparer()
     def test_training_with_files_filter(self, client, container_sas_url):
 
-        poller = client.begin_train_model(training_files_url=container_sas_url, include_sub_folders=True)
+        poller = client.begin_train_model(training_files_url=container_sas_url, use_training_labels=False, include_sub_folders=True)
         model = poller.result()
         self.assertEqual(len(model.training_documents), 6)
         self.assertEqual(model.training_documents[-1].document_name, "subfolder/Form_6.jpg")  # we traversed subfolders
 
-        poller = client.begin_train_model(container_sas_url, prefix="subfolder", include_sub_folders=True)
+        poller = client.begin_train_model(container_sas_url, use_training_labels=False, prefix="subfolder", include_sub_folders=True)
         model = poller.result()
         self.assertEqual(len(model.training_documents), 1)
         self.assertEqual(model.training_documents[0].document_name, "subfolder/Form_6.jpg")  # we filtered for only subfolders
 
         with self.assertRaises(HttpResponseError):
-            poller = client.begin_train_model(training_files_url=container_sas_url, prefix="xxx")
+            poller = client.begin_train_model(training_files_url=container_sas_url, use_training_labels=False, prefix="xxx")
             model = poller.result()

sdk/formrecognizer/azure-ai-formrecognizer/tests/test_training_async.py

@@ -23,13 +23,15 @@ class TestTrainingAsync(AsyncFormRecognizerTest):
     async def test_training_auth_bad_key(self, resource_group, location, form_recognizer_account, form_recognizer_account_key):
         client = FormTrainingClient(form_recognizer_account, AzureKeyCredential("xxxx"))
         with self.assertRaises(ClientAuthenticationError):
-            result = await client.train_model("xx")
+            result = await client.train_model("xx", use_training_labels=False)
 
     @GlobalFormRecognizerAccountPreparer()
     @GlobalTrainingAccountPreparer()
     async def test_training(self, client, container_sas_url):
 
-        model = await client.train_model(training_files_url=container_sas_url)
+        model = await client.train_model(
+            training_files_url=container_sas_url,
+            use_training_labels=False)
 
         self.assertIsNotNone(model.model_id)
         self.assertIsNotNone(model.created_on)
@@ -51,7 +53,7 @@ async def test_training(self, client, container_sas_url):
     @GlobalTrainingAccountPreparer(multipage=True)
     async def test_training_multipage(self, client, container_sas_url):
 
-        model = await client.train_model(container_sas_url)
+        model = await client.train_model(container_sas_url, use_training_labels=False)
 
         self.assertIsNotNone(model.model_id)
         self.assertIsNotNone(model.created_on)
@@ -81,7 +83,10 @@ def callback(response):
             raw_response.append(raw_model)
             raw_response.append(custom_model)
 
-        model = await client.train_model(training_files_url=container_sas_url, cls=callback)
+        model = await client.train_model(
+            training_files_url=container_sas_url,
+            use_training_labels=False,
+            cls=callback)
 
         raw_model = raw_response[0]
         custom_model = raw_response[1]
@@ -99,7 +104,7 @@ def callback(response):
             raw_response.append(raw_model)
             raw_response.append(custom_model)
 
-        model = await client.train_model(container_sas_url, cls=callback)
+        model = await client.train_model(container_sas_url, use_training_labels=False, cls=callback)
 
         raw_model = raw_response[0]
         custom_model = raw_response[1]
@@ -189,13 +194,13 @@ def callback(response):
     @GlobalTrainingAccountPreparer()
     async def test_training_with_files_filter(self, client, container_sas_url):
 
-        model = await client.train_model(training_files_url=container_sas_url, include_sub_folders=True)
+        model = await client.train_model(training_files_url=container_sas_url, use_training_labels=False, include_sub_folders=True)
         self.assertEqual(len(model.training_documents), 6)
         self.assertEqual(model.training_documents[-1].document_name, "subfolder/Form_6.jpg")  # we traversed subfolders
 
-        model = await client.train_model(container_sas_url, prefix="subfolder", include_sub_folders=True)
+        model = await client.train_model(container_sas_url, use_training_labels=False, prefix="subfolder", include_sub_folders=True)
         self.assertEqual(len(model.training_documents), 1)
         self.assertEqual(model.training_documents[0].document_name, "subfolder/Form_6.jpg")  # we filtered for only subfolders
 
         with self.assertRaises(HttpResponseError):
-            model = await client.train_model(training_files_url=container_sas_url, prefix="xxx")
+            model = await client.train_model(training_files_url=container_sas_url, use_training_labels=False, prefix="xxx")