feat: Added Operation and PredictOperation (internal module)

google/genai/_operations.py

@@ -0,0 +1,371 @@
+# Copyright 2024 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 Optional, Union
+from urllib.parse import urlencode
+from . import _api_module
+from . import _common
+from . import types
+from ._api_client import ApiClient
+from ._common import get_value_by_path as getv
+from ._common import set_value_by_path as setv
+
+
+def _GetOperationParameters_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  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'],
+        _GetOperationConfig_to_mldev(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _GetOperationParameters_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  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'],
+        _GetOperationConfig_to_vertex(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _FetchPredictOperationParameters_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['operation_name']) is not None:
+    raise ValueError('operation_name parameter is not supported in Google AI.')
+
+  if getv(from_object, ['resource_name']) is not None:
+    raise ValueError('resource_name parameter is not supported in Google AI.')
+
+  if getv(from_object, ['config']) is not None:
+    raise ValueError('config parameter is not supported in Google AI.')
+
+  return to_object
+
+
+def _FetchPredictOperationParameters_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  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'],
+        _FetchPredictOperationConfig_to_vertex(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _Operation_from_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  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'], getv(from_object, ['response']))
+
+  return to_object
+
+
+def _Operation_from_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  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'], getv(from_object, ['response']))
+
+  return to_object
+
+
+class _operations(_api_module.BaseModule):
+
+  def _get_operation(
+      self,
+      *,
+      operation_name: str,
+      config: Optional[types.GetOperationConfigOrDict] = None,
+  ) -> types.Operation:
+    parameter_model = types._GetOperationParameters(
+        operation_name=operation_name,
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      request_dict = _GetOperationParameters_to_vertex(
+          self._api_client, parameter_model
+      )
+      path = '{operationName}'.format_map(request_dict.get('_url'))
+    else:
+      request_dict = _GetOperationParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = '{operationName}'.format_map(request_dict.get('_url'))
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    http_options = (
+        parameter_model.config.http_options
+        if (hasattr(parameter_model, 'config') and parameter_model.config)
+        else None
+    )
+    request_dict.pop('config', None)
+    request_dict = _common.convert_to_dict(request_dict)
+    request_dict = _common.encode_unserializable_types(request_dict)
+
+    response_dict = self._api_client.request(
+        'get', path, request_dict, http_options
+    )
+
+    if self._api_client.vertexai:
+      response_dict = _Operation_from_vertex(self._api_client, response_dict)
+    else:
+      response_dict = _Operation_from_mldev(self._api_client, response_dict)
+
+    return_value = types.Operation._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  def _fetch_predict_operation(
+      self,
+      *,
+      operation_name: str,
+      resource_name: str,
+      config: Optional[types.FetchPredictOperationConfigOrDict] = None,
+  ) -> types.Operation:
+    parameter_model = types._FetchPredictOperationParameters(
+        operation_name=operation_name,
+        resource_name=resource_name,
+        config=config,
+    )
+
+    if not self._api_client.vertexai:
+      raise ValueError('This method is only supported in the Vertex AI client.')
+    else:
+      request_dict = _FetchPredictOperationParameters_to_vertex(
+          self._api_client, parameter_model
+      )
+      path = '{resourceName}:fetchPredictOperation'.format_map(
+          request_dict.get('_url')
+      )
+
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    http_options = (
+        parameter_model.config.http_options
+        if (hasattr(parameter_model, 'config') and parameter_model.config)
+        else None
+    )
+    request_dict.pop('config', None)
+    request_dict = _common.convert_to_dict(request_dict)
+    request_dict = _common.encode_unserializable_types(request_dict)
+
+    response_dict = self._api_client.request(
+        'post', path, request_dict, http_options
+    )
+
+    if self._api_client.vertexai:
+      response_dict = _Operation_from_vertex(self._api_client, response_dict)
+    else:
+      response_dict = _Operation_from_mldev(self._api_client, response_dict)
+
+    return_value = types.Operation._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+
+class Async_operations(_api_module.BaseModule):
+
+  async def _get_operation(
+      self,
+      *,
+      operation_name: str,
+      config: Optional[types.GetOperationConfigOrDict] = None,
+  ) -> types.Operation:
+    parameter_model = types._GetOperationParameters(
+        operation_name=operation_name,
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      request_dict = _GetOperationParameters_to_vertex(
+          self._api_client, parameter_model
+      )
+      path = '{operationName}'.format_map(request_dict.get('_url'))
+    else:
+      request_dict = _GetOperationParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = '{operationName}'.format_map(request_dict.get('_url'))
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    http_options = (
+        parameter_model.config.http_options
+        if (hasattr(parameter_model, 'config') and parameter_model.config)
+        else None
+    )
+    request_dict.pop('config', None)
+    request_dict = _common.convert_to_dict(request_dict)
+    request_dict = _common.encode_unserializable_types(request_dict)
+
+    response_dict = await self._api_client.async_request(
+        'get', path, request_dict, http_options
+    )
+
+    if self._api_client.vertexai:
+      response_dict = _Operation_from_vertex(self._api_client, response_dict)
+    else:
+      response_dict = _Operation_from_mldev(self._api_client, response_dict)
+
+    return_value = types.Operation._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  async def _fetch_predict_operation(
+      self,
+      *,
+      operation_name: str,
+      resource_name: str,
+      config: Optional[types.FetchPredictOperationConfigOrDict] = None,
+  ) -> types.Operation:
+    parameter_model = types._FetchPredictOperationParameters(
+        operation_name=operation_name,
+        resource_name=resource_name,
+        config=config,
+    )
+
+    if not self._api_client.vertexai:
+      raise ValueError('This method is only supported in the Vertex AI client.')
+    else:
+      request_dict = _FetchPredictOperationParameters_to_vertex(
+          self._api_client, parameter_model
+      )
+      path = '{resourceName}:fetchPredictOperation'.format_map(
+          request_dict.get('_url')
+      )
+
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    http_options = (
+        parameter_model.config.http_options
+        if (hasattr(parameter_model, 'config') and parameter_model.config)
+        else None
+    )
+    request_dict.pop('config', None)
+    request_dict = _common.convert_to_dict(request_dict)
+    request_dict = _common.encode_unserializable_types(request_dict)
+
+    response_dict = await self._api_client.async_request(
+        'post', path, request_dict, http_options
+    )
+
+    if self._api_client.vertexai:
+      response_dict = _Operation_from_vertex(self._api_client, response_dict)
+    else:
+      response_dict = _Operation_from_mldev(self._api_client, response_dict)
+
+    return_value = types.Operation._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value