chore: Refactored the _fromResponse method on GenerateVideosOperation to use the autogenerated code.

google/genai/_base_transformers.py

@@ -0,0 +1,26 @@
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""Base transformers for Google GenAI SDK."""
+import base64
+
+# Some fields don't accept url safe base64 encoding.
+# We shouldn't use this transformer if the backend adhere to Cloud Type
+# format https://cloud.google.com/docs/discovery/type-format.
+# TODO(b/389133914,b/390320301): Remove the hack after backend fix the issue.
+def t_bytes(data: bytes) -> str:
+  if not isinstance(data, bytes):
+    return data
+  return base64.b64encode(data).decode('ascii')

google/genai/_operations_converters.py

@@ -16,8 +16,7 @@
 # Code generated by the Google Gen AI SDK generator DO NOT EDIT.
 
 from typing import Any, Optional, Union
-
-from . import _transformers as t
+from . import _base_transformers as base_t
 from ._common import get_value_by_path as getv
 from ._common import set_value_by_path as setv
 
@@ -108,7 +107,7 @@ def _Video_from_mldev(
     setv(
         to_object,
         ['video_bytes'],
-        t.t_bytes(getv(from_object, ['video', 'encodedVideo'])),
+        base_t.t_bytes(getv(from_object, ['video', 'encodedVideo'])),
     )
 
   if getv(from_object, ['encoding']) is not None:
@@ -214,7 +213,7 @@ def _Video_from_vertex(
     setv(
         to_object,
         ['video_bytes'],
-        t.t_bytes(getv(from_object, ['bytesBase64Encoded'])),
+        base_t.t_bytes(getv(from_object, ['bytesBase64Encoded'])),
     )
 
   if getv(from_object, ['mimeType']) is not None:

google/genai/_transformers.py

@@ -1156,16 +1156,6 @@ def t_tuning_job_status(status: str) -> Union[types.JobState, str]:
     return status
 
 
-# Some fields don't accept url safe base64 encoding.
-# We shouldn't use this transformer if the backend adhere to Cloud Type
-# format https://cloud.google.com/docs/discovery/type-format.
-# TODO(b/389133914,b/390320301): Remove the hack after backend fix the issue.
-def t_bytes(data: bytes) -> str:
-  if not isinstance(data, bytes):
-    return data
-  return base64.b64encode(data).decode('ascii')
-
-
 def t_content_strict(content: types.ContentOrDict) -> types.Content:
   if isinstance(content, dict):
     return types.Content.model_validate(content)

google/genai/models.py

@@ -21,6 +21,7 @@
 from urllib.parse import urlencode
 
 from . import _api_module
+from . import _base_transformers as base_t
 from . import _common
 from . import _extra_utils
 from . import _mcp_utils
@@ -1260,7 +1261,7 @@ def _Image_to_mldev(
     setv(
         to_object,
         ['bytesBase64Encoded'],
-        t.t_bytes(getv(from_object, ['image_bytes'])),
+        base_t.t_bytes(getv(from_object, ['image_bytes'])),
     )
 
   if getv(from_object, ['mime_type']) is not None:
@@ -2502,7 +2503,7 @@ def _Image_to_vertex(
     setv(
         to_object,
         ['bytesBase64Encoded'],
-        t.t_bytes(getv(from_object, ['image_bytes'])),
+        base_t.t_bytes(getv(from_object, ['image_bytes'])),
     )
 
   if getv(from_object, ['mime_type']) is not None:
@@ -3394,7 +3395,7 @@ def _Video_to_vertex(
     setv(
         to_object,
         ['bytesBase64Encoded'],
-        t.t_bytes(getv(from_object, ['video_bytes'])),
+        base_t.t_bytes(getv(from_object, ['video_bytes'])),
     )
 
   if getv(from_object, ['mime_type']) is not None:
@@ -3921,7 +3922,7 @@ def _Image_from_mldev(
     setv(
         to_object,
         ['image_bytes'],
-        t.t_bytes(getv(from_object, ['bytesBase64Encoded'])),
+        base_t.t_bytes(getv(from_object, ['bytesBase64Encoded'])),
     )
 
   if getv(from_object, ['mimeType']) is not None:
@@ -4147,7 +4148,7 @@ def _Video_from_mldev(
     setv(
         to_object,
         ['video_bytes'],
-        t.t_bytes(getv(from_object, ['video', 'encodedVideo'])),
+        base_t.t_bytes(getv(from_object, ['video', 'encodedVideo'])),
     )
 
   if getv(from_object, ['encoding']) is not None:
@@ -4613,7 +4614,7 @@ def _Image_from_vertex(
     setv(
         to_object,
         ['image_bytes'],
-        t.t_bytes(getv(from_object, ['bytesBase64Encoded'])),
+        base_t.t_bytes(getv(from_object, ['bytesBase64Encoded'])),
     )
 
   if getv(from_object, ['mimeType']) is not None:
@@ -5023,7 +5024,7 @@ def _Video_from_vertex(
     setv(
         to_object,
         ['video_bytes'],
-        t.t_bytes(getv(from_object, ['bytesBase64Encoded'])),
+        base_t.t_bytes(getv(from_object, ['bytesBase64Encoded'])),
     )
 
   if getv(from_object, ['mimeType']) is not None:

google/genai/tests/transformers/test_bytes.py

@@ -2,7 +2,7 @@
 
 import base64
 
-from ... import _transformers as t
+from ... import _base_transformers as t
 
 _RAW_BYTES = (
     b'\xfb\xf6\x9bq\xd7\x9f\x82\x18\xa3\x92Y\xa7\xa2\x9a\xab\xb2\xdb\xaf\xc3\x1c\xb3\x00\x10\x83\x10Q\x87'

google/genai/types.py

@@ -29,6 +29,11 @@
 from pydantic import ConfigDict, Field, PrivateAttr, model_validator
 from typing_extensions import Self, TypedDict
 from . import _common
+from ._operations_converters import (
+    _GenerateVideosOperation_from_mldev,
+    _GenerateVideosOperation_from_vertex,
+)
+
 
 if sys.version_info >= (3, 10):
   # Supports both Union[t1, t2] and t1 | t2
@@ -8674,58 +8679,12 @@ def from_api_response(
       cls, api_response: Any, is_vertex_ai: bool = False
   ) -> Self:
     """Instantiates a GenerateVideosOperation from an API response."""
-    new_operation = cls()
-    new_operation.name = api_response.get('name', None)
-    new_operation.metadata = api_response.get('metadata', None)
-    new_operation.done = api_response.get('done', None)
-    new_operation.error = api_response.get('error', None)
-
     if is_vertex_ai:
-      if api_response.get('response', None) is not None:
-        new_operation.response = GenerateVideosResponse(
-            generated_videos=[
-                GeneratedVideo(
-                    video=Video(
-                        uri=video.get('gcsUri', None),
-                        video_bytes=video.get('bytesBase64Encoded', None),
-                        mime_type=video.get('mimeType', None),
-                    )
-                )
-                for video in api_response.get('response', {}).get('videos', [])
-            ],
-            rai_media_filtered_count=api_response.get('response', {}).get(
-                'raiMediaFilteredCount', None
-            ),
-            rai_media_filtered_reasons=api_response.get('response', {}).get(
-                'raiMediaFilteredReasons', None
-            ),
-        )
+      response_dict = _GenerateVideosOperation_from_vertex(api_response)
     else:
-      if api_response.get('response', None) is not None:
-        new_operation.response = GenerateVideosResponse(
-            generated_videos=[
-                GeneratedVideo(
-                    video=Video(
-                        uri=video.get('video', {}).get('uri', None),
-                        video_bytes=video.get('video', {}).get(
-                            'encodedVideo', None
-                        ),
-                        mime_type=video.get('encoding', None),
-                    )
-                )
-                for video in api_response.get('response', {})
-                .get('generateVideoResponse', {})
-                .get('generatedSamples', [])
-            ],
-            rai_media_filtered_count=api_response.get('response', {})
-            .get('generateVideoResponse', {})
-            .get('raiMediaFilteredCount', None),
-            rai_media_filtered_reasons=api_response.get('response', {})
-            .get('generateVideoResponse', {})
-            .get('raiMediaFilteredReasons', None),
-        )
-    new_operation.result = new_operation.response
-    return new_operation
+      response_dict = _GenerateVideosOperation_from_mldev(api_response)
+
+    return cls._from_response(response=response_dict, kwargs={})
 
 
 class GetTuningJobConfig(_common.BaseModel):