fix(deps): require google-api-core>=1.32.0,>=2.8.0 (#400)

- [ ] Regenerate this pull request now.

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chore: use gapic-generator-python 1.0.0
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Source-Link: googleapis/googleapis-gen@0b219da
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Committer: @Harwayne
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Committer: @Harwayne
PiperOrigin-RevId: 440224385

Source-Link: googleapis/googleapis@afc5066

Source-Link: googleapis/googleapis-gen@07cf54a
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feat: add audience parameter
fix!: Move `yarn_config` into a `oneof`
fix!: Remove `temp_bucket` from VirtualClusterConfig, as its value was not used

google/cloud/dataproc_v1/services/autoscaling_policy_service/async_client.py

@@ -16,7 +16,7 @@
 from collections import OrderedDict
 import functools
 import re
-from typing import Dict, Optional, Sequence, Tuple, Type, Union
+from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union
 import pkg_resources
 
 from google.api_core.client_options import ClientOptions
@@ -231,9 +231,9 @@ async def create_autoscaling_policy(
 
             from google.cloud import dataproc_v1
 
-            def sample_create_autoscaling_policy():
+            async def sample_create_autoscaling_policy():
                 # Create a client
-                client = dataproc_v1.AutoscalingPolicyServiceClient()
+                client = dataproc_v1.AutoscalingPolicyServiceAsyncClient()
 
                 # Initialize request argument(s)
                 policy = dataproc_v1.AutoscalingPolicy()
@@ -247,7 +247,7 @@ def sample_create_autoscaling_policy():
                 )
 
                 # Make the request
-                response = client.create_autoscaling_policy(request=request)
+                response = await client.create_autoscaling_policy(request=request)
 
                 # Handle the response
                 print(response)
@@ -353,14 +353,13 @@ async def update_autoscaling_policy(
         Disabled check for update_mask, because all updates will be full
         replacements.
 
-
         .. code-block:: python
 
             from google.cloud import dataproc_v1
 
-            def sample_update_autoscaling_policy():
+            async def sample_update_autoscaling_policy():
                 # Create a client
-                client = dataproc_v1.AutoscalingPolicyServiceClient()
+                client = dataproc_v1.AutoscalingPolicyServiceAsyncClient()
 
                 # Initialize request argument(s)
                 policy = dataproc_v1.AutoscalingPolicy()
@@ -373,7 +372,7 @@ def sample_update_autoscaling_policy():
                 )
 
                 # Make the request
-                response = client.update_autoscaling_policy(request=request)
+                response = await client.update_autoscaling_policy(request=request)
 
                 # Handle the response
                 print(response)
@@ -470,17 +469,17 @@ async def get_autoscaling_policy(
 
             from google.cloud import dataproc_v1
 
-            def sample_get_autoscaling_policy():
+            async def sample_get_autoscaling_policy():
                 # Create a client
-                client = dataproc_v1.AutoscalingPolicyServiceClient()
+                client = dataproc_v1.AutoscalingPolicyServiceAsyncClient()
 
                 # Initialize request argument(s)
                 request = dataproc_v1.GetAutoscalingPolicyRequest(
                     name="name_value",
                 )
 
                 # Make the request
-                response = client.get_autoscaling_policy(request=request)
+                response = await client.get_autoscaling_policy(request=request)
 
                 # Handle the response
                 print(response)
@@ -587,9 +586,9 @@ async def list_autoscaling_policies(
 
             from google.cloud import dataproc_v1
 
-            def sample_list_autoscaling_policies():
+            async def sample_list_autoscaling_policies():
                 # Create a client
-                client = dataproc_v1.AutoscalingPolicyServiceClient()
+                client = dataproc_v1.AutoscalingPolicyServiceAsyncClient()
 
                 # Initialize request argument(s)
                 request = dataproc_v1.ListAutoscalingPoliciesRequest(
@@ -600,7 +599,7 @@ def sample_list_autoscaling_policies():
                 page_result = client.list_autoscaling_policies(request=request)
 
                 # Handle the response
-                for response in page_result:
+                async for response in page_result:
                     print(response)
 
         Args:
@@ -715,22 +714,21 @@ async def delete_autoscaling_policy(
         delete an autoscaling policy that is in use by one or
         more clusters.
 
-
         .. code-block:: python
 
             from google.cloud import dataproc_v1
 
-            def sample_delete_autoscaling_policy():
+            async def sample_delete_autoscaling_policy():
                 # Create a client
-                client = dataproc_v1.AutoscalingPolicyServiceClient()
+                client = dataproc_v1.AutoscalingPolicyServiceAsyncClient()
 
                 # Initialize request argument(s)
                 request = dataproc_v1.DeleteAutoscalingPolicyRequest(
                     name="name_value",
                 )
 
                 # Make the request
-                client.delete_autoscaling_policy(request=request)
+                await client.delete_autoscaling_policy(request=request)
 
         Args:
             request (Union[google.cloud.dataproc_v1.types.DeleteAutoscalingPolicyRequest, dict]):

google/cloud/dataproc_v1/services/autoscaling_policy_service/client.py

@@ -16,7 +16,7 @@
 from collections import OrderedDict
 import os
 import re
-from typing import Dict, Optional, Sequence, Tuple, Type, Union
+from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union
 import pkg_resources
 
 from google.api_core import client_options as client_options_lib
@@ -426,6 +426,7 @@ def __init__(
                 quota_project_id=client_options.quota_project_id,
                 client_info=client_info,
                 always_use_jwt_access=True,
+                api_audience=client_options.api_audience,
             )
 
     def create_autoscaling_policy(
@@ -570,7 +571,6 @@ def update_autoscaling_policy(
         Disabled check for update_mask, because all updates will be full
         replacements.
 
-
         .. code-block:: python
 
             from google.cloud import dataproc_v1
@@ -906,7 +906,6 @@ def delete_autoscaling_policy(
         delete an autoscaling policy that is in use by one or
         more clusters.
 
-
         .. code-block:: python
 
             from google.cloud import dataproc_v1

google/cloud/dataproc_v1/services/autoscaling_policy_service/transports/base.py

@@ -55,6 +55,7 @@ def __init__(
         quota_project_id: Optional[str] = None,
         client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
         always_use_jwt_access: Optional[bool] = False,
+        api_audience: Optional[str] = None,
         **kwargs,
     ) -> None:
         """Instantiate the transport.
@@ -81,10 +82,6 @@ def __init__(
             always_use_jwt_access (Optional[bool]): Whether self signed JWT should
                 be used for service account credentials.
         """
-        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
-        if ":" not in host:
-            host += ":443"
-        self._host = host
 
         scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
 
@@ -106,6 +103,11 @@ def __init__(
             credentials, _ = google.auth.default(
                 **scopes_kwargs, quota_project_id=quota_project_id
             )
+            # Don't apply audience if the credentials file passed from user.
+            if hasattr(credentials, "with_gdch_audience"):
+                credentials = credentials.with_gdch_audience(
+                    api_audience if api_audience else host
+                )
 
         # If the credentials are service account credentials, then always try to use self signed JWT.
         if (
@@ -118,6 +120,11 @@ def __init__(
         # Save the credentials.
         self._credentials = credentials
 
+        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
+        if ":" not in host:
+            host += ":443"
+        self._host = host
+
     def _prep_wrapped_messages(self, client_info):
         # Precompute the wrapped methods.
         self._wrapped_methods = {
@@ -244,5 +251,9 @@ def delete_autoscaling_policy(
     ]:
         raise NotImplementedError()
 
+    @property
+    def kind(self) -> str:
+        raise NotImplementedError()
+
 
 __all__ = ("AutoscalingPolicyServiceTransport",)

google/cloud/dataproc_v1/services/autoscaling_policy_service/transports/grpc.py

@@ -60,6 +60,7 @@ def __init__(
         quota_project_id: Optional[str] = None,
         client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
         always_use_jwt_access: Optional[bool] = False,
+        api_audience: Optional[str] = None,
     ) -> None:
         """Instantiate the transport.
 
@@ -155,6 +156,7 @@ def __init__(
             quota_project_id=quota_project_id,
             client_info=client_info,
             always_use_jwt_access=always_use_jwt_access,
+            api_audience=api_audience,
         )
 
         if not self._grpc_channel:
@@ -381,5 +383,9 @@ def delete_autoscaling_policy(
     def close(self):
         self.grpc_channel.close()
 
+    @property
+    def kind(self) -> str:
+        return "grpc"
+
 
 __all__ = ("AutoscalingPolicyServiceGrpcTransport",)

google/cloud/dataproc_v1/services/autoscaling_policy_service/transports/grpc_asyncio.py

@@ -105,6 +105,7 @@ def __init__(
         quota_project_id=None,
         client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
         always_use_jwt_access: Optional[bool] = False,
+        api_audience: Optional[str] = None,
     ) -> None:
         """Instantiate the transport.
 
@@ -200,6 +201,7 @@ def __init__(
             quota_project_id=quota_project_id,
             client_info=client_info,
             always_use_jwt_access=always_use_jwt_access,
+            api_audience=api_audience,
         )
 
         if not self._grpc_channel:

google/cloud/dataproc_v1/services/batch_controller/async_client.py

@@ -16,7 +16,7 @@
 from collections import OrderedDict
 import functools
 import re
-from typing import Dict, Optional, Sequence, Tuple, Type, Union
+from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union
 import pkg_resources
 
 from google.api_core.client_options import ClientOptions
@@ -223,14 +223,13 @@ async def create_batch(
         r"""Creates a batch workload that executes
         asynchronously.
 
-
         .. code-block:: python
 
             from google.cloud import dataproc_v1
 
-            def sample_create_batch():
+            async def sample_create_batch():
                 # Create a client
-                client = dataproc_v1.BatchControllerClient()
+                client = dataproc_v1.BatchControllerAsyncClient()
 
                 # Initialize request argument(s)
                 batch = dataproc_v1.Batch()
@@ -246,7 +245,7 @@ def sample_create_batch():
 
                 print("Waiting for operation to complete...")
 
-                response = operation.result()
+                response = await operation.result()
 
                 # Handle the response
                 print(response)
@@ -361,17 +360,17 @@ async def get_batch(
 
             from google.cloud import dataproc_v1
 
-            def sample_get_batch():
+            async def sample_get_batch():
                 # Create a client
-                client = dataproc_v1.BatchControllerClient()
+                client = dataproc_v1.BatchControllerAsyncClient()
 
                 # Initialize request argument(s)
                 request = dataproc_v1.GetBatchRequest(
                     name="name_value",
                 )
 
                 # Make the request
-                response = client.get_batch(request=request)
+                response = await client.get_batch(request=request)
 
                 # Handle the response
                 print(response)
@@ -456,9 +455,9 @@ async def list_batches(
 
             from google.cloud import dataproc_v1
 
-            def sample_list_batches():
+            async def sample_list_batches():
                 # Create a client
-                client = dataproc_v1.BatchControllerClient()
+                client = dataproc_v1.BatchControllerAsyncClient()
 
                 # Initialize request argument(s)
                 request = dataproc_v1.ListBatchesRequest(
@@ -469,7 +468,7 @@ def sample_list_batches():
                 page_result = client.list_batches(request=request)
 
                 # Handle the response
-                for response in page_result:
+                async for response in page_result:
                     print(response)
 
         Args:
@@ -561,22 +560,21 @@ async def delete_batch(
         terminal state, the delete fails and the response returns
         ``FAILED_PRECONDITION``.
 
-
         .. code-block:: python
 
             from google.cloud import dataproc_v1
 
-            def sample_delete_batch():
+            async def sample_delete_batch():
                 # Create a client
-                client = dataproc_v1.BatchControllerClient()
+                client = dataproc_v1.BatchControllerAsyncClient()
 
                 # Initialize request argument(s)
                 request = dataproc_v1.DeleteBatchRequest(
                     name="name_value",
                 )
 
                 # Make the request
-                client.delete_batch(request=request)
+                await client.delete_batch(request=request)
 
         Args:
             request (Union[google.cloud.dataproc_v1.types.DeleteBatchRequest, dict]):

google/cloud/dataproc_v1/services/batch_controller/client.py

@@ -16,7 +16,7 @@
 from collections import OrderedDict
 import os
 import re
-from typing import Dict, Optional, Sequence, Tuple, Type, Union
+from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union
 import pkg_resources
 
 from google.api_core import client_options as client_options_lib
@@ -431,6 +431,7 @@ def __init__(
                 quota_project_id=client_options.quota_project_id,
                 client_info=client_info,
                 always_use_jwt_access=True,
+                api_audience=client_options.api_audience,
             )
 
     def create_batch(
@@ -447,7 +448,6 @@ def create_batch(
         r"""Creates a batch workload that executes
         asynchronously.
 
-
         .. code-block:: python
 
             from google.cloud import dataproc_v1
@@ -785,7 +785,6 @@ def delete_batch(
         terminal state, the delete fails and the response returns
         ``FAILED_PRECONDITION``.
 
-
         .. code-block:: python
 
             from google.cloud import dataproc_v1