structure saas with tools

.venv/lib/python3.10/site-packages/google/genai/operations.py

@@ -0,0 +1,651 @@
+# 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.
+
+import logging
+from typing import Any, Optional, Union
+from urllib.parse import urlencode
+from . import _api_module
+from . import _common
+from . import _transformers as t
+from . import types
+from ._api_client import BaseApiClient
+from ._common import get_value_by_path as getv
+from ._common import set_value_by_path as setv
+
+logger = logging.getLogger('google_genai.operations')
+
+
+def _GetOperationParameters_to_mldev(
+    api_client: BaseApiClient,
+    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 _GetOperationParameters_to_vertex(
+    api_client: BaseApiClient,
+    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(
+    api_client: BaseApiClient,
+    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 _Video_from_mldev(
+    api_client: BaseApiClient,
+    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'],
+        t.t_bytes(api_client, 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(
+    api_client: BaseApiClient,
+    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(api_client, getv(from_object, ['_self']), to_object),
+    )
+
+  return to_object
+
+
+def _GenerateVideosResponse_from_mldev(
+    api_client: BaseApiClient,
+    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(api_client, 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(
+    api_client: BaseApiClient,
+    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(
+            api_client,
+            getv(from_object, ['response', 'generateVideoResponse']),
+            to_object,
+        ),
+    )
+
+  if getv(from_object, ['response', 'generateVideoResponse']) is not None:
+    setv(
+        to_object,
+        ['result'],
+        _GenerateVideosResponse_from_mldev(
+            api_client,
+            getv(from_object, ['response', 'generateVideoResponse']),
+            to_object,
+        ),
+    )
+
+  return to_object
+
+
+def _Video_from_vertex(
+    api_client: BaseApiClient,
+    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'],
+        t.t_bytes(api_client, 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(
+    api_client: BaseApiClient,
+    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(api_client, getv(from_object, ['_self']), to_object),
+    )
+
+  return to_object
+
+
+def _GenerateVideosResponse_from_vertex(
+    api_client: BaseApiClient,
+    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(api_client, 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(
+    api_client: BaseApiClient,
+    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(
+            api_client, getv(from_object, ['response']), to_object
+        ),
+    )
+
+  if getv(from_object, ['response']) is not None:
+    setv(
+        to_object,
+        ['result'],
+        _GenerateVideosResponse_from_vertex(
+            api_client, getv(from_object, ['response']), to_object
+        ),
+    )
+
+  return to_object
+
+
+class Operations(_api_module.BaseModule):
+
+  def _get_videos_operation(
+      self,
+      *,
+      operation_name: str,
+      config: Optional[types.GetOperationConfigOrDict] = None,
+  ) -> types.GenerateVideosOperation:
+    parameter_model = types._GetOperationParameters(
+        operation_name=operation_name,
+        config=config,
+    )
+
+    request_url_dict: Optional[dict[str, str]]
+
+    if self._api_client.vertexai:
+      request_dict = _GetOperationParameters_to_vertex(
+          self._api_client, parameter_model
+      )
+      request_url_dict = request_dict.get('_url')
+      if request_url_dict:
+        path = '{operationName}'.format_map(request_url_dict)
+      else:
+        path = '{operationName}'
+    else:
+      request_dict = _GetOperationParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      request_url_dict = request_dict.get('_url')
+      if request_url_dict:
+        path = '{operationName}'.format_map(request_url_dict)
+      else:
+        path = '{operationName}'
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    request_dict.pop('config', None)
+
+    http_options: Optional[types.HttpOptions] = None
+    if (
+        parameter_model.config is not None
+        and parameter_model.config.http_options is not None
+    ):
+      http_options = parameter_model.config.http_options
+
+    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 = _GenerateVideosOperation_from_vertex(
+          self._api_client, response_dict
+      )
+
+    else:
+      response_dict = _GenerateVideosOperation_from_mldev(
+          self._api_client, response_dict
+      )
+
+    return_value = types.GenerateVideosOperation._from_response(
+        response=response_dict, kwargs=parameter_model.model_dump()
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  def _fetch_predict_videos_operation(
+      self,
+      *,
+      operation_name: str,
+      resource_name: str,
+      config: Optional[types.FetchPredictOperationConfigOrDict] = None,
+  ) -> types.GenerateVideosOperation:
+    parameter_model = types._FetchPredictOperationParameters(
+        operation_name=operation_name,
+        resource_name=resource_name,
+        config=config,
+    )
+
+    request_url_dict: Optional[dict[str, str]]
+    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
+      )
+      request_url_dict = request_dict.get('_url')
+      if request_url_dict:
+        path = '{resourceName}:fetchPredictOperation'.format_map(
+            request_url_dict
+        )
+      else:
+        path = '{resourceName}:fetchPredictOperation'
+
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    request_dict.pop('config', None)
+
+    http_options: Optional[types.HttpOptions] = None
+    if (
+        parameter_model.config is not None
+        and parameter_model.config.http_options is not None
+    ):
+      http_options = parameter_model.config.http_options
+
+    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 = _GenerateVideosOperation_from_vertex(
+          self._api_client, response_dict
+      )
+
+    return_value = types.GenerateVideosOperation._from_response(
+        response=response_dict, kwargs=parameter_model.model_dump()
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  def get(
+      self,
+      operation: types.GenerateVideosOperation,
+      *,
+      config: Optional[types.GetOperationConfigOrDict] = None,
+  ) -> types.GenerateVideosOperation:
+    """Gets the status of an operation."""
+    # Currently, only GenerateVideosOperation is supported.
+    # TODO(b/398040607): Support short form names
+    operation_name = operation.name
+    if not operation_name:
+      raise ValueError('Operation name is empty.')
+
+    # TODO(b/398233524): Cast operation types
+    if self._api_client.vertexai:
+      resource_name = operation_name.rpartition('/operations/')[0]
+      http_options = types.HttpOptions()
+      if isinstance(config, dict):
+        dict_options = config.get('http_options', None)
+        if dict_options is not None:
+          http_options = types.HttpOptions(**dict(dict_options))
+      elif isinstance(config, types.GetOperationConfig) and config is not None:
+        http_options = (
+            config.http_options
+            if config.http_options is not None
+            else types.HttpOptions()
+        )
+      fetch_operation_config = types.FetchPredictOperationConfig(
+          http_options=http_options
+      )
+      return self._fetch_predict_videos_operation(
+          operation_name=operation_name,
+          resource_name=resource_name,
+          config=fetch_operation_config,
+      )
+    else:
+      return self._get_videos_operation(
+          operation_name=operation_name,
+          config=config,
+      )
+
+
+class AsyncOperations(_api_module.BaseModule):
+
+  async def _get_videos_operation(
+      self,
+      *,
+      operation_name: str,
+      config: Optional[types.GetOperationConfigOrDict] = None,
+  ) -> types.GenerateVideosOperation:
+    parameter_model = types._GetOperationParameters(
+        operation_name=operation_name,
+        config=config,
+    )
+
+    request_url_dict: Optional[dict[str, str]]
+
+    if self._api_client.vertexai:
+      request_dict = _GetOperationParameters_to_vertex(
+          self._api_client, parameter_model
+      )
+      request_url_dict = request_dict.get('_url')
+      if request_url_dict:
+        path = '{operationName}'.format_map(request_url_dict)
+      else:
+        path = '{operationName}'
+    else:
+      request_dict = _GetOperationParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      request_url_dict = request_dict.get('_url')
+      if request_url_dict:
+        path = '{operationName}'.format_map(request_url_dict)
+      else:
+        path = '{operationName}'
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    request_dict.pop('config', None)
+
+    http_options: Optional[types.HttpOptions] = None
+    if (
+        parameter_model.config is not None
+        and parameter_model.config.http_options is not None
+    ):
+      http_options = parameter_model.config.http_options
+
+    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 = _GenerateVideosOperation_from_vertex(
+          self._api_client, response_dict
+      )
+
+    else:
+      response_dict = _GenerateVideosOperation_from_mldev(
+          self._api_client, response_dict
+      )
+
+    return_value = types.GenerateVideosOperation._from_response(
+        response=response_dict, kwargs=parameter_model.model_dump()
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  async def _fetch_predict_videos_operation(
+      self,
+      *,
+      operation_name: str,
+      resource_name: str,
+      config: Optional[types.FetchPredictOperationConfigOrDict] = None,
+  ) -> types.GenerateVideosOperation:
+    parameter_model = types._FetchPredictOperationParameters(
+        operation_name=operation_name,
+        resource_name=resource_name,
+        config=config,
+    )
+
+    request_url_dict: Optional[dict[str, str]]
+    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
+      )
+      request_url_dict = request_dict.get('_url')
+      if request_url_dict:
+        path = '{resourceName}:fetchPredictOperation'.format_map(
+            request_url_dict
+        )
+      else:
+        path = '{resourceName}:fetchPredictOperation'
+
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    request_dict.pop('config', None)
+
+    http_options: Optional[types.HttpOptions] = None
+    if (
+        parameter_model.config is not None
+        and parameter_model.config.http_options is not None
+    ):
+      http_options = parameter_model.config.http_options
+
+    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 = _GenerateVideosOperation_from_vertex(
+          self._api_client, response_dict
+      )
+
+    return_value = types.GenerateVideosOperation._from_response(
+        response=response_dict, kwargs=parameter_model.model_dump()
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  async def get(
+      self,
+      operation: types.GenerateVideosOperation,
+      *,
+      config: Optional[types.GetOperationConfigOrDict] = None,
+  ) -> types.GenerateVideosOperation:
+    """Gets the status of an operation."""
+    # Currently, only GenerateVideosOperation is supported.
+    operation_name = operation.name
+    if not operation_name:
+      raise ValueError('Operation name is empty.')
+
+    if self._api_client.vertexai:
+      resource_name = operation_name.rpartition('/operations/')[0]
+      http_options = types.HttpOptions()
+      if isinstance(config, dict):
+        dict_options = config.get('http_options', None)
+        if dict_options is not None:
+          http_options = types.HttpOptions(**dict(dict_options))
+      elif isinstance(config, types.GetOperationConfig) and config is not None:
+        http_options = (
+            config.http_options
+            if config.http_options is not None
+            else types.HttpOptions()
+        )
+      fetch_operation_config = types.FetchPredictOperationConfig(
+          http_options=http_options
+      )
+      return await self._fetch_predict_videos_operation(
+          operation_name=operation_name,
+          resource_name=resource_name,
+          config=fetch_operation_config,
+      )
+    else:
+      return await self._get_videos_operation(
+          operation_name=operation_name,
+          config=config,
+      )