chore: Refactored the converter functions to remove the dependency to the types file.

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

@@ -0,0 +1,307 @@
+# 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.
+#
+
+# Code generated by the Google Gen AI SDK generator DO NOT EDIT.
+
+from typing import Any, Optional, Union
+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
+
+
+def _FetchPredictOperationParameters_to_mldev(
+    from_object: Union[dict[str, Any], object],
+    parent_object: Optional[dict[str, Any]] = None,
+) -> dict[str, Any]:
+  to_object: dict[str, Any] = {}
+  if getv(from_object, ['operation_name']) is not None:
+    raise ValueError('operation_name parameter is not supported in Gemini API.')
+
+  if getv(from_object, ['resource_name']) is not None:
+    raise ValueError('resource_name parameter is not supported in Gemini API.')
+
+  if getv(from_object, ['config']) is not None:
+    raise ValueError('config parameter is not supported in Gemini API.')
+
+  return to_object
+
+
+def _GetOperationParameters_to_mldev(
+    from_object: Union[dict[str, Any], object],
+    parent_object: Optional[dict[str, Any]] = None,
+) -> dict[str, Any]:
+  to_object: dict[str, Any] = {}
+  if getv(from_object, ['operation_name']) is not None:
+    setv(
+        to_object,
+        ['_url', 'operationName'],
+        getv(from_object, ['operation_name']),
+    )
+
+  if getv(from_object, ['config']) is not None:
+    setv(to_object, ['config'], getv(from_object, ['config']))
+
+  return to_object
+
+
+def _FetchPredictOperationParameters_to_vertex(
+    from_object: Union[dict[str, Any], object],
+    parent_object: Optional[dict[str, Any]] = None,
+) -> dict[str, Any]:
+  to_object: dict[str, Any] = {}
+  if getv(from_object, ['operation_name']) is not None:
+    setv(to_object, ['operationName'], getv(from_object, ['operation_name']))
+
+  if getv(from_object, ['resource_name']) is not None:
+    setv(
+        to_object,
+        ['_url', 'resourceName'],
+        getv(from_object, ['resource_name']),
+    )
+
+  if getv(from_object, ['config']) is not None:
+    setv(to_object, ['config'], getv(from_object, ['config']))
+
+  return to_object
+
+
+def _GetOperationParameters_to_vertex(
+    from_object: Union[dict[str, Any], object],
+    parent_object: Optional[dict[str, Any]] = None,
+) -> dict[str, Any]:
+  to_object: dict[str, Any] = {}
+  if getv(from_object, ['operation_name']) is not None:
+    setv(
+        to_object,
+        ['_url', 'operationName'],
+        getv(from_object, ['operation_name']),
+    )
+
+  if getv(from_object, ['config']) is not None:
+    setv(to_object, ['config'], getv(from_object, ['config']))
+
+  return to_object
+
+
+def _Video_from_mldev(
+    from_object: Union[dict[str, Any], object],
+    parent_object: Optional[dict[str, Any]] = None,
+) -> dict[str, Any]:
+  to_object: dict[str, Any] = {}
+  if getv(from_object, ['video', 'uri']) is not None:
+    setv(to_object, ['uri'], getv(from_object, ['video', 'uri']))
+
+  if getv(from_object, ['video', 'encodedVideo']) is not None:
+    setv(
+        to_object,
+        ['video_bytes'],
+        base_t.t_bytes(getv(from_object, ['video', 'encodedVideo'])),
+    )
+
+  if getv(from_object, ['encoding']) is not None:
+    setv(to_object, ['mime_type'], getv(from_object, ['encoding']))
+
+  return to_object
+
+
+def _GeneratedVideo_from_mldev(
+    from_object: Union[dict[str, Any], object],
+    parent_object: Optional[dict[str, Any]] = None,
+) -> dict[str, Any]:
+  to_object: dict[str, Any] = {}
+  if getv(from_object, ['_self']) is not None:
+    setv(
+        to_object,
+        ['video'],
+        _Video_from_mldev(getv(from_object, ['_self']), to_object),
+    )
+
+  return to_object
+
+
+def _GenerateVideosResponse_from_mldev(
+    from_object: Union[dict[str, Any], object],
+    parent_object: Optional[dict[str, Any]] = None,
+) -> dict[str, Any]:
+  to_object: dict[str, Any] = {}
+  if getv(from_object, ['generatedSamples']) is not None:
+    setv(
+        to_object,
+        ['generated_videos'],
+        [
+            _GeneratedVideo_from_mldev(item, to_object)
+            for item in getv(from_object, ['generatedSamples'])
+        ],
+    )
+
+  if getv(from_object, ['raiMediaFilteredCount']) is not None:
+    setv(
+        to_object,
+        ['rai_media_filtered_count'],
+        getv(from_object, ['raiMediaFilteredCount']),
+    )
+
+  if getv(from_object, ['raiMediaFilteredReasons']) is not None:
+    setv(
+        to_object,
+        ['rai_media_filtered_reasons'],
+        getv(from_object, ['raiMediaFilteredReasons']),
+    )
+
+  return to_object
+
+
+def _GenerateVideosOperation_from_mldev(
+    from_object: Union[dict[str, Any], object],
+    parent_object: Optional[dict[str, Any]] = None,
+) -> dict[str, Any]:
+  to_object: dict[str, Any] = {}
+  if getv(from_object, ['name']) is not None:
+    setv(to_object, ['name'], getv(from_object, ['name']))
+
+  if getv(from_object, ['metadata']) is not None:
+    setv(to_object, ['metadata'], getv(from_object, ['metadata']))
+
+  if getv(from_object, ['done']) is not None:
+    setv(to_object, ['done'], getv(from_object, ['done']))
+
+  if getv(from_object, ['error']) is not None:
+    setv(to_object, ['error'], getv(from_object, ['error']))
+
+  if getv(from_object, ['response', 'generateVideoResponse']) is not None:
+    setv(
+        to_object,
+        ['response'],
+        _GenerateVideosResponse_from_mldev(
+            getv(from_object, ['response', 'generateVideoResponse']), to_object
+        ),
+    )
+
+  if getv(from_object, ['response', 'generateVideoResponse']) is not None:
+    setv(
+        to_object,
+        ['result'],
+        _GenerateVideosResponse_from_mldev(
+            getv(from_object, ['response', 'generateVideoResponse']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _Video_from_vertex(
+    from_object: Union[dict[str, Any], object],
+    parent_object: Optional[dict[str, Any]] = None,
+) -> dict[str, Any]:
+  to_object: dict[str, Any] = {}
+  if getv(from_object, ['gcsUri']) is not None:
+    setv(to_object, ['uri'], getv(from_object, ['gcsUri']))
+
+  if getv(from_object, ['bytesBase64Encoded']) is not None:
+    setv(
+        to_object,
+        ['video_bytes'],
+        base_t.t_bytes(getv(from_object, ['bytesBase64Encoded'])),
+    )
+
+  if getv(from_object, ['mimeType']) is not None:
+    setv(to_object, ['mime_type'], getv(from_object, ['mimeType']))
+
+  return to_object
+
+
+def _GeneratedVideo_from_vertex(
+    from_object: Union[dict[str, Any], object],
+    parent_object: Optional[dict[str, Any]] = None,
+) -> dict[str, Any]:
+  to_object: dict[str, Any] = {}
+  if getv(from_object, ['_self']) is not None:
+    setv(
+        to_object,
+        ['video'],
+        _Video_from_vertex(getv(from_object, ['_self']), to_object),
+    )
+
+  return to_object
+
+
+def _GenerateVideosResponse_from_vertex(
+    from_object: Union[dict[str, Any], object],
+    parent_object: Optional[dict[str, Any]] = None,
+) -> dict[str, Any]:
+  to_object: dict[str, Any] = {}
+  if getv(from_object, ['videos']) is not None:
+    setv(
+        to_object,
+        ['generated_videos'],
+        [
+            _GeneratedVideo_from_vertex(item, to_object)
+            for item in getv(from_object, ['videos'])
+        ],
+    )
+
+  if getv(from_object, ['raiMediaFilteredCount']) is not None:
+    setv(
+        to_object,
+        ['rai_media_filtered_count'],
+        getv(from_object, ['raiMediaFilteredCount']),
+    )
+
+  if getv(from_object, ['raiMediaFilteredReasons']) is not None:
+    setv(
+        to_object,
+        ['rai_media_filtered_reasons'],
+        getv(from_object, ['raiMediaFilteredReasons']),
+    )
+
+  return to_object
+
+
+def _GenerateVideosOperation_from_vertex(
+    from_object: Union[dict[str, Any], object],
+    parent_object: Optional[dict[str, Any]] = None,
+) -> dict[str, Any]:
+  to_object: dict[str, Any] = {}
+  if getv(from_object, ['name']) is not None:
+    setv(to_object, ['name'], getv(from_object, ['name']))
+
+  if getv(from_object, ['metadata']) is not None:
+    setv(to_object, ['metadata'], getv(from_object, ['metadata']))
+
+  if getv(from_object, ['done']) is not None:
+    setv(to_object, ['done'], getv(from_object, ['done']))
+
+  if getv(from_object, ['error']) is not None:
+    setv(to_object, ['error'], getv(from_object, ['error']))
+
+  if getv(from_object, ['response']) is not None:
+    setv(
+        to_object,
+        ['response'],
+        _GenerateVideosResponse_from_vertex(
+            getv(from_object, ['response']), to_object
+        ),
+    )
+
+  if getv(from_object, ['response']) is not None:
+    setv(
+        to_object,
+        ['result'],
+        _GenerateVideosResponse_from_vertex(
+            getv(from_object, ['response']), to_object
+        ),
+    )
+
+  return to_object

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)