two version of R2R are hereHEADmaster

1 files changed, 1417 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/google/genai/files.py b/.venv/lib/python3.12/site-packages/google/genai/files.py
new file mode 100644
index 00000000..20cf30af
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/google/genai/files.py
@@ -0,0 +1,1417 @@
+# 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.
+
+import io
+import mimetypes
+import os
+import pathlib
+from typing import Optional, Union
+from urllib.parse import urlencode
+from . import _common
+from . import _transformers as t
+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
+from .pagers import AsyncPager, Pager
+
+
+def _ListFilesConfig_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['http_options']) is not None:
+    setv(to_object, ['httpOptions'], getv(from_object, ['http_options']))
+
+  if getv(from_object, ['page_size']) is not None:
+    setv(
+        parent_object, ['_query', 'pageSize'], getv(from_object, ['page_size'])
+    )
+
+  if getv(from_object, ['page_token']) is not None:
+    setv(
+        parent_object,
+        ['_query', 'pageToken'],
+        getv(from_object, ['page_token']),
+    )
+
+  return to_object
+
+
+def _ListFilesConfig_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['http_options']) is not None:
+    setv(to_object, ['httpOptions'], getv(from_object, ['http_options']))
+
+  if getv(from_object, ['page_size']) is not None:
+    setv(
+        parent_object, ['_query', 'pageSize'], getv(from_object, ['page_size'])
+    )
+
+  if getv(from_object, ['page_token']) is not None:
+    setv(
+        parent_object,
+        ['_query', 'pageToken'],
+        getv(from_object, ['page_token']),
+    )
+
+  return to_object
+
+
+def _ListFilesParameters_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['config']) is not None:
+    setv(
+        to_object,
+        ['config'],
+        _ListFilesConfig_to_mldev(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _ListFilesParameters_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['config']) is not None:
+    raise ValueError('config parameter is not supported in Vertex AI.')
+
+  return to_object
+
+
+def _FileStatus_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['details']) is not None:
+    setv(to_object, ['details'], getv(from_object, ['details']))
+
+  if getv(from_object, ['message']) is not None:
+    setv(to_object, ['message'], getv(from_object, ['message']))
+
+  if getv(from_object, ['code']) is not None:
+    setv(to_object, ['code'], getv(from_object, ['code']))
+
+  return to_object
+
+
+def _FileStatus_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['details']) is not None:
+    raise ValueError('details parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['message']) is not None:
+    raise ValueError('message parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['code']) is not None:
+    raise ValueError('code parameter is not supported in Vertex AI.')
+
+  return to_object
+
+
+def _File_to_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, ['display_name']) is not None:
+    setv(to_object, ['displayName'], getv(from_object, ['display_name']))
+
+  if getv(from_object, ['mime_type']) is not None:
+    setv(to_object, ['mimeType'], getv(from_object, ['mime_type']))
+
+  if getv(from_object, ['size_bytes']) is not None:
+    setv(to_object, ['sizeBytes'], getv(from_object, ['size_bytes']))
+
+  if getv(from_object, ['create_time']) is not None:
+    setv(to_object, ['createTime'], getv(from_object, ['create_time']))
+
+  if getv(from_object, ['expiration_time']) is not None:
+    setv(to_object, ['expirationTime'], getv(from_object, ['expiration_time']))
+
+  if getv(from_object, ['update_time']) is not None:
+    setv(to_object, ['updateTime'], getv(from_object, ['update_time']))
+
+  if getv(from_object, ['sha256_hash']) is not None:
+    setv(to_object, ['sha256Hash'], getv(from_object, ['sha256_hash']))
+
+  if getv(from_object, ['uri']) is not None:
+    setv(to_object, ['uri'], getv(from_object, ['uri']))
+
+  if getv(from_object, ['download_uri']) is not None:
+    setv(to_object, ['downloadUri'], getv(from_object, ['download_uri']))
+
+  if getv(from_object, ['state']) is not None:
+    setv(to_object, ['state'], getv(from_object, ['state']))
+
+  if getv(from_object, ['source']) is not None:
+    setv(to_object, ['source'], getv(from_object, ['source']))
+
+  if getv(from_object, ['video_metadata']) is not None:
+    setv(to_object, ['videoMetadata'], getv(from_object, ['video_metadata']))
+
+  if getv(from_object, ['error']) is not None:
+    setv(
+        to_object,
+        ['error'],
+        _FileStatus_to_mldev(
+            api_client, getv(from_object, ['error']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _File_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['name']) is not None:
+    raise ValueError('name parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['display_name']) is not None:
+    raise ValueError('display_name parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['mime_type']) is not None:
+    raise ValueError('mime_type parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['size_bytes']) is not None:
+    raise ValueError('size_bytes parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['create_time']) is not None:
+    raise ValueError('create_time parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['expiration_time']) is not None:
+    raise ValueError('expiration_time parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['update_time']) is not None:
+    raise ValueError('update_time parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['sha256_hash']) is not None:
+    raise ValueError('sha256_hash parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['uri']) is not None:
+    raise ValueError('uri parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['download_uri']) is not None:
+    raise ValueError('download_uri parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['state']) is not None:
+    raise ValueError('state parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['source']) is not None:
+    raise ValueError('source parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['video_metadata']) is not None:
+    raise ValueError('video_metadata parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['error']) is not None:
+    raise ValueError('error parameter is not supported in Vertex AI.')
+
+  return to_object
+
+
+def _CreateFileConfig_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['http_options']) is not None:
+    setv(to_object, ['httpOptions'], getv(from_object, ['http_options']))
+
+  return to_object
+
+
+def _CreateFileConfig_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['http_options']) is not None:
+    setv(to_object, ['httpOptions'], getv(from_object, ['http_options']))
+
+  return to_object
+
+
+def _CreateFileParameters_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['file']) is not None:
+    setv(
+        to_object,
+        ['file'],
+        _File_to_mldev(api_client, getv(from_object, ['file']), to_object),
+    )
+
+  if getv(from_object, ['config']) is not None:
+    setv(
+        to_object,
+        ['config'],
+        _CreateFileConfig_to_mldev(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _CreateFileParameters_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['file']) is not None:
+    raise ValueError('file parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['config']) is not None:
+    raise ValueError('config parameter is not supported in Vertex AI.')
+
+  return to_object
+
+
+def _GetFileConfig_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['http_options']) is not None:
+    setv(to_object, ['httpOptions'], getv(from_object, ['http_options']))
+
+  return to_object
+
+
+def _GetFileConfig_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['http_options']) is not None:
+    setv(to_object, ['httpOptions'], getv(from_object, ['http_options']))
+
+  return to_object
+
+
+def _GetFileParameters_to_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,
+        ['_url', 'file'],
+        t.t_file_name(api_client, getv(from_object, ['name'])),
+    )
+
+  if getv(from_object, ['config']) is not None:
+    setv(
+        to_object,
+        ['config'],
+        _GetFileConfig_to_mldev(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _GetFileParameters_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['name']) is not None:
+    raise ValueError('name parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['config']) is not None:
+    raise ValueError('config parameter is not supported in Vertex AI.')
+
+  return to_object
+
+
+def _DeleteFileConfig_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['http_options']) is not None:
+    setv(to_object, ['httpOptions'], getv(from_object, ['http_options']))
+
+  return to_object
+
+
+def _DeleteFileConfig_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['http_options']) is not None:
+    setv(to_object, ['httpOptions'], getv(from_object, ['http_options']))
+
+  return to_object
+
+
+def _DeleteFileParameters_to_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,
+        ['_url', 'file'],
+        t.t_file_name(api_client, getv(from_object, ['name'])),
+    )
+
+  if getv(from_object, ['config']) is not None:
+    setv(
+        to_object,
+        ['config'],
+        _DeleteFileConfig_to_mldev(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _DeleteFileParameters_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['name']) is not None:
+    raise ValueError('name parameter is not supported in Vertex AI.')
+
+  if getv(from_object, ['config']) is not None:
+    raise ValueError('config parameter is not supported in Vertex AI.')
+
+  return to_object
+
+
+def _FileStatus_from_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['details']) is not None:
+    setv(to_object, ['details'], getv(from_object, ['details']))
+
+  if getv(from_object, ['message']) is not None:
+    setv(to_object, ['message'], getv(from_object, ['message']))
+
+  if getv(from_object, ['code']) is not None:
+    setv(to_object, ['code'], getv(from_object, ['code']))
+
+  return to_object
+
+
+def _FileStatus_from_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+
+  return to_object
+
+
+def _File_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, ['displayName']) is not None:
+    setv(to_object, ['display_name'], getv(from_object, ['displayName']))
+
+  if getv(from_object, ['mimeType']) is not None:
+    setv(to_object, ['mime_type'], getv(from_object, ['mimeType']))
+
+  if getv(from_object, ['sizeBytes']) is not None:
+    setv(to_object, ['size_bytes'], getv(from_object, ['sizeBytes']))
+
+  if getv(from_object, ['createTime']) is not None:
+    setv(to_object, ['create_time'], getv(from_object, ['createTime']))
+
+  if getv(from_object, ['expirationTime']) is not None:
+    setv(to_object, ['expiration_time'], getv(from_object, ['expirationTime']))
+
+  if getv(from_object, ['updateTime']) is not None:
+    setv(to_object, ['update_time'], getv(from_object, ['updateTime']))
+
+  if getv(from_object, ['sha256Hash']) is not None:
+    setv(to_object, ['sha256_hash'], getv(from_object, ['sha256Hash']))
+
+  if getv(from_object, ['uri']) is not None:
+    setv(to_object, ['uri'], getv(from_object, ['uri']))
+
+  if getv(from_object, ['downloadUri']) is not None:
+    setv(to_object, ['download_uri'], getv(from_object, ['downloadUri']))
+
+  if getv(from_object, ['state']) is not None:
+    setv(to_object, ['state'], getv(from_object, ['state']))
+
+  if getv(from_object, ['source']) is not None:
+    setv(to_object, ['source'], getv(from_object, ['source']))
+
+  if getv(from_object, ['videoMetadata']) is not None:
+    setv(to_object, ['video_metadata'], getv(from_object, ['videoMetadata']))
+
+  if getv(from_object, ['error']) is not None:
+    setv(
+        to_object,
+        ['error'],
+        _FileStatus_from_mldev(
+            api_client, getv(from_object, ['error']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _File_from_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+
+  return to_object
+
+
+def _ListFilesResponse_from_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['nextPageToken']) is not None:
+    setv(to_object, ['next_page_token'], getv(from_object, ['nextPageToken']))
+
+  if getv(from_object, ['files']) is not None:
+    setv(
+        to_object,
+        ['files'],
+        [
+            _File_from_mldev(api_client, item, to_object)
+            for item in getv(from_object, ['files'])
+        ],
+    )
+
+  return to_object
+
+
+def _ListFilesResponse_from_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+
+  return to_object
+
+
+def _CreateFileResponse_from_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+
+  return to_object
+
+
+def _CreateFileResponse_from_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+
+  return to_object
+
+
+def _DeleteFileResponse_from_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+
+  return to_object
+
+
+def _DeleteFileResponse_from_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+
+  return to_object
+
+
+class Files(_common.BaseModule):
+
+  def _list(
+      self, *, config: Optional[types.ListFilesConfigOrDict] = None
+  ) -> types.ListFilesResponse:
+    """Lists all files from the service.
+
+    Args:
+      config (ListFilesConfig): Optional, configuration for the list method.
+
+    Returns:
+      ListFilesResponse: The response for the list method.
+
+    Usage:
+
+    .. code-block:: python
+
+      pager = client.files.list(config={'page_size': 10})
+      for file in pager.page:
+        print(file.name)
+    """
+
+    parameter_model = types._ListFilesParameters(
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      raise ValueError('This method is only supported in the default client.')
+    else:
+      request_dict = _ListFilesParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = 'files'.format_map(request_dict.get('_url'))
+
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else 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 = _ListFilesResponse_from_vertex(
+          self._api_client, response_dict
+      )
+    else:
+      response_dict = _ListFilesResponse_from_mldev(
+          self._api_client, response_dict
+      )
+
+    return_value = types.ListFilesResponse._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  def _create(
+      self,
+      *,
+      file: types.FileOrDict,
+      config: Optional[types.CreateFileConfigOrDict] = None,
+  ) -> types.CreateFileResponse:
+    parameter_model = types._CreateFileParameters(
+        file=file,
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      raise ValueError('This method is only supported in the default client.')
+    else:
+      request_dict = _CreateFileParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = 'upload/v1beta/files'.format_map(request_dict.get('_url'))
+
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else 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 = _CreateFileResponse_from_vertex(
+          self._api_client, response_dict
+      )
+    else:
+      response_dict = _CreateFileResponse_from_mldev(
+          self._api_client, response_dict
+      )
+
+    return_value = types.CreateFileResponse._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  def get(
+      self, *, name: str, config: Optional[types.GetFileConfigOrDict] = None
+  ) -> types.File:
+    """Retrieves the file information from the service.
+
+    Args:
+      name (str): The name identifier for the file to retrieve.
+      config (GetFileConfig): Optional, configuration for the get method.
+
+    Returns:
+      File: The file information.
+
+    Usage:
+
+    .. code-block:: python
+
+      file = client.files.get(name='files/...')
+      print(file.uri)
+    """
+
+    parameter_model = types._GetFileParameters(
+        name=name,
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      raise ValueError('This method is only supported in the default client.')
+    else:
+      request_dict = _GetFileParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = 'files/{file}'.format_map(request_dict.get('_url'))
+
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else 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 = _File_from_vertex(self._api_client, response_dict)
+    else:
+      response_dict = _File_from_mldev(self._api_client, response_dict)
+
+    return_value = types.File._from_response(response_dict, parameter_model)
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  def delete(
+      self, *, name: str, config: Optional[types.DeleteFileConfigOrDict] = None
+  ) -> types.DeleteFileResponse:
+    """Deletes an existing file from the service.
+
+    Args:
+      name (str): The name identifier for the file to delete.
+      config (DeleteFileConfig): Optional, configuration for the delete method.
+
+    Returns:
+      DeleteFileResponse: The response for the delete method
+
+    Usage:
+
+    .. code-block:: python
+
+      client.files.delete(name='files/...')
+    """
+
+    parameter_model = types._DeleteFileParameters(
+        name=name,
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      raise ValueError('This method is only supported in the default client.')
+    else:
+      request_dict = _DeleteFileParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = 'files/{file}'.format_map(request_dict.get('_url'))
+
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else None
+    request_dict = _common.convert_to_dict(request_dict)
+    request_dict = _common.encode_unserializable_types(request_dict)
+
+    response_dict = self._api_client.request(
+        'delete', path, request_dict, http_options
+    )
+
+    if self._api_client.vertexai:
+      response_dict = _DeleteFileResponse_from_vertex(
+          self._api_client, response_dict
+      )
+    else:
+      response_dict = _DeleteFileResponse_from_mldev(
+          self._api_client, response_dict
+      )
+
+    return_value = types.DeleteFileResponse._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  def upload(
+      self,
+      *,
+      path: Union[str, pathlib.Path, os.PathLike, io.IOBase],
+      config: Optional[types.UploadFileConfigOrDict] = None,
+  ) -> types.File:
+    """Calls the API to upload a file using a supported file service.
+
+    Args:
+      path: The path to the file or an `IOBase` object to be uploaded. If it's
+        an IOBase object, it must be opened in blocking mode and binary mode. In
+        other words, do not use non-blocking mode or text mode. The given stream
+        must be seekable, that is, it must be able to call seek() on 'path'.
+      config: Optional parameters to set `diplay_name`, `mime_type`, and `name`.
+    """
+    if self._api_client.vertexai:
+      raise ValueError(
+          'Vertex AI does not support creating files. You can upload files to'
+          ' GCS files instead.'
+      )
+    config_model = None
+    if config:
+      if isinstance(config, dict):
+        config_model = types.UploadFileConfig(**config)
+      else:
+        config_model = config
+      file = types.File(
+          mime_type=config_model.mime_type,
+          name=config_model.name,
+          display_name=config_model.display_name,
+      )
+    else:  # if not config
+      file = types.File()
+    if file.name is not None and not file.name.startswith('files/'):
+      file.name = f'files/{file.name}'
+
+    if isinstance(path, io.IOBase):
+      if file.mime_type is None:
+        raise ValueError(
+            'Unknown mime type: Could not determine the mimetype for your'
+            ' file\n please set the `mime_type` argument'
+        )
+      if hasattr(path, 'mode'):
+        if 'b' not in path.mode:
+          raise ValueError('The file must be opened in binary mode.')
+      offset = path.tell()
+      path.seek(0, os.SEEK_END)
+      file.size_bytes = path.tell() - offset
+      path.seek(offset, os.SEEK_SET)
+    else:
+      fs_path = os.fspath(path)
+      if not fs_path or not os.path.isfile(fs_path):
+        raise FileNotFoundError(f'{path} is not a valid file path.')
+      file.size_bytes = os.path.getsize(fs_path)
+      if file.mime_type is None:
+        file.mime_type, _ = mimetypes.guess_type(fs_path)
+      if file.mime_type is None:
+        raise ValueError(
+            'Unknown mime type: Could not determine the mimetype for your'
+            ' file\n    please set the `mime_type` argument'
+        )
+    response = {}
+    if config_model and config_model.http_options:
+      http_options = config_model.http_options
+    else:
+      http_options = {
+          'api_version': '',  # api-version is set in the path.
+          'headers': {
+              'Content-Type': 'application/json',
+              'X-Goog-Upload-Protocol': 'resumable',
+              'X-Goog-Upload-Command': 'start',
+              'X-Goog-Upload-Header-Content-Length': f'{file.size_bytes}',
+              'X-Goog-Upload-Header-Content-Type': f'{file.mime_type}',
+          },
+          'response_payload': response,
+      }
+    self._create(file=file, config={'http_options': http_options})
+
+    if (
+        'headers' not in response
+        or 'X-Goog-Upload-URL' not in response['headers']
+    ):
+      raise KeyError(
+          'Failed to create file. Upload URL did not returned from the create'
+          ' file request.'
+      )
+    upload_url = response['headers']['X-Goog-Upload-URL']
+
+    if isinstance(path, io.IOBase):
+      return_file = self._api_client.upload_file(
+          path, upload_url, file.size_bytes
+      )
+    else:
+      return_file = self._api_client.upload_file(
+          fs_path, upload_url, file.size_bytes
+      )
+
+    return types.File._from_response(
+        _File_from_mldev(self._api_client, return_file['file']), None
+    )
+
+  def list(
+      self, *, config: Optional[types.ListFilesConfigOrDict] = None
+  ) -> Pager[types.File]:
+    return Pager(
+        'files',
+        self._list,
+        self._list(config=config),
+        config,
+    )
+
+  def download(
+      self,
+      *,
+      file: Union[str, types.File],
+      config: Optional[types.DownloadFileConfigOrDict] = None,
+  ) -> bytes:
+    """Downloads a file's data from storage.
+
+    Files created by `upload` can't be downloaded. You can tell which files are
+    downloadable by checking the `source` or `download_uri` property.
+
+    Args:
+      file (str): A file name, uri, or file object. Identifying which file to
+        download.
+      config (DownloadFileConfigOrDict): Optional, configuration for the get
+        method.
+
+    Returns:
+      File: The file data as bytes.
+
+    Usage:
+
+    .. code-block:: python
+
+      for file client.files.list():
+        if file.download_uri is not None:
+          break
+      else:
+        raise ValueError('No files found with a `download_uri`.')
+      data = client.files.download(file=file)
+      # data = client.files.download(file=file.name)
+      # data = client.files.download(file=file.download_uri)
+    """
+    if self._api_client.vertexai:
+      raise ValueError(
+          'Vertex AI does not support the Files API. Use GCS files instead.'
+      )
+
+    config_model = None
+    if config:
+      if isinstance(config, dict):
+        config_model = types.DownloadFileConfig(**config)
+      else:
+        config_model = config
+
+    if isinstance(file, types.File) and file.download_uri is None:
+      raise ValueError(
+          "Only generated files can be downloaded, uploaded files can't be "
+          'downloaded. You can tell which files are downloadable by checking '
+          'the `source` or `download_uri` property.'
+      )
+    name = t.t_file_name(self, file)
+
+    path = f'files/{name}:download'
+
+    query_params = {'alt': 'media'}
+    path = f'{path}?{urlencode(query_params)}'
+    http_options = None
+    if getv(config_model, ['http_options']) is not None:
+      http_options = getv(config_model, ['http_options'])
+
+    data = self._api_client.download_file(
+        path,
+        http_options,
+    )
+
+    return data
+
+
+class AsyncFiles(_common.BaseModule):
+
+  async def _list(
+      self, *, config: Optional[types.ListFilesConfigOrDict] = None
+  ) -> types.ListFilesResponse:
+    """Lists all files from the service.
+
+    Args:
+      config (ListFilesConfig): Optional, configuration for the list method.
+
+    Returns:
+      ListFilesResponse: The response for the list method.
+
+    Usage:
+
+    .. code-block:: python
+
+      pager = client.files.list(config={'page_size': 10})
+      for file in pager.page:
+        print(file.name)
+    """
+
+    parameter_model = types._ListFilesParameters(
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      raise ValueError('This method is only supported in the default client.')
+    else:
+      request_dict = _ListFilesParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = 'files'.format_map(request_dict.get('_url'))
+
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else 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 = _ListFilesResponse_from_vertex(
+          self._api_client, response_dict
+      )
+    else:
+      response_dict = _ListFilesResponse_from_mldev(
+          self._api_client, response_dict
+      )
+
+    return_value = types.ListFilesResponse._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  async def _create(
+      self,
+      *,
+      file: types.FileOrDict,
+      config: Optional[types.CreateFileConfigOrDict] = None,
+  ) -> types.CreateFileResponse:
+    parameter_model = types._CreateFileParameters(
+        file=file,
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      raise ValueError('This method is only supported in the default client.')
+    else:
+      request_dict = _CreateFileParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = 'upload/v1beta/files'.format_map(request_dict.get('_url'))
+
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else 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 = _CreateFileResponse_from_vertex(
+          self._api_client, response_dict
+      )
+    else:
+      response_dict = _CreateFileResponse_from_mldev(
+          self._api_client, response_dict
+      )
+
+    return_value = types.CreateFileResponse._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  async def get(
+      self, *, name: str, config: Optional[types.GetFileConfigOrDict] = None
+  ) -> types.File:
+    """Retrieves the file information from the service.
+
+    Args:
+      name (str): The name identifier for the file to retrieve.
+      config (GetFileConfig): Optional, configuration for the get method.
+
+    Returns:
+      File: The file information.
+
+    Usage:
+
+    .. code-block:: python
+
+      file = client.files.get(name='files/...')
+      print(file.uri)
+    """
+
+    parameter_model = types._GetFileParameters(
+        name=name,
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      raise ValueError('This method is only supported in the default client.')
+    else:
+      request_dict = _GetFileParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = 'files/{file}'.format_map(request_dict.get('_url'))
+
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else 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 = _File_from_vertex(self._api_client, response_dict)
+    else:
+      response_dict = _File_from_mldev(self._api_client, response_dict)
+
+    return_value = types.File._from_response(response_dict, parameter_model)
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  async def delete(
+      self, *, name: str, config: Optional[types.DeleteFileConfigOrDict] = None
+  ) -> types.DeleteFileResponse:
+    """Deletes an existing file from the service.
+
+    Args:
+      name (str): The name identifier for the file to delete.
+      config (DeleteFileConfig): Optional, configuration for the delete method.
+
+    Returns:
+      DeleteFileResponse: The response for the delete method
+
+    Usage:
+
+    .. code-block:: python
+
+      client.files.delete(name='files/...')
+    """
+
+    parameter_model = types._DeleteFileParameters(
+        name=name,
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      raise ValueError('This method is only supported in the default client.')
+    else:
+      request_dict = _DeleteFileParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = 'files/{file}'.format_map(request_dict.get('_url'))
+
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else 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(
+        'delete', path, request_dict, http_options
+    )
+
+    if self._api_client.vertexai:
+      response_dict = _DeleteFileResponse_from_vertex(
+          self._api_client, response_dict
+      )
+    else:
+      response_dict = _DeleteFileResponse_from_mldev(
+          self._api_client, response_dict
+      )
+
+    return_value = types.DeleteFileResponse._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  async def upload(
+      self,
+      *,
+      path: Union[str, pathlib.Path, os.PathLike, io.IOBase],
+      config: Optional[types.UploadFileConfigOrDict] = None,
+  ) -> types.File:
+    """Calls the API to upload a file asynchronously using a supported file service.
+
+    Args:
+      path:  The path to the file or an `IOBase` object to be uploaded. If it's
+        an IOBase object, it must be opened in blocking mode and binary mode. In
+        other words, do not use non-blocking mode or text mode. The given stream
+        must be seekable, that is, it must be able to call seek() on 'path'.
+      config: Optional parameters to set `diplay_name`, `mime_type`, and `name`.
+    """
+    if self._api_client.vertexai:
+      raise ValueError(
+          'Vertex AI does not support creating files. You can upload files to'
+          ' GCS files instead.'
+      )
+    config_model = None
+    if config:
+      if isinstance(config, dict):
+        config_model = types.UploadFileConfig(**config)
+      else:
+        config_model = config
+      file = types.File(
+          mime_type=config_model.mime_type,
+          name=config_model.name,
+          display_name=config_model.display_name,
+      )
+    else:  # if not config
+      file = types.File()
+    if file.name is not None and not file.name.startswith('files/'):
+      file.name = f'files/{file.name}'
+
+    if isinstance(path, io.IOBase):
+      if file.mime_type is None:
+        raise ValueError(
+            'Unknown mime type: Could not determine the mimetype for your'
+            ' file\n    please set the `mime_type` argument'
+        )
+      if hasattr(path, 'mode'):
+        if 'b' not in path.mode:
+          raise ValueError('The file must be opened in binary mode.')
+      offset = path.tell()
+      path.seek(0, os.SEEK_END)
+      file.size_bytes = path.tell() - offset
+      path.seek(offset, os.SEEK_SET)
+    else:
+      fs_path = os.fspath(path)
+      if not fs_path or not os.path.isfile(fs_path):
+        raise FileNotFoundError(f'{path} is not a valid file path.')
+      file.size_bytes = os.path.getsize(fs_path)
+      if file.mime_type is None:
+        file.mime_type, _ = mimetypes.guess_type(fs_path)
+      if file.mime_type is None:
+        raise ValueError(
+            'Unknown mime type: Could not determine the mimetype for your'
+            ' file\n    please set the `mime_type` argument'
+        )
+
+    response = {}
+    if config_model and config_model.http_options:
+      http_options = config_model.http_options
+    else:
+      http_options = {
+          'api_version': '',  # api-version is set in the path.
+          'headers': {
+              'Content-Type': 'application/json',
+              'X-Goog-Upload-Protocol': 'resumable',
+              'X-Goog-Upload-Command': 'start',
+              'X-Goog-Upload-Header-Content-Length': f'{file.size_bytes}',
+              'X-Goog-Upload-Header-Content-Type': f'{file.mime_type}',
+          },
+          'response_payload': response,
+      }
+    await self._create(file=file, config={'http_options': http_options})
+    if (
+        'headers' not in response
+        or 'X-Goog-Upload-URL' not in response['headers']
+    ):
+      raise KeyError(
+          'Failed to create file. Upload URL did not returned from the create'
+          ' file request.'
+      )
+    upload_url = response['headers']['X-Goog-Upload-URL']
+
+    if isinstance(path, io.IOBase):
+      return_file = await self._api_client.async_upload_file(
+          path, upload_url, file.size_bytes
+      )
+    else:
+      return_file = await self._api_client.async_upload_file(
+          fs_path, upload_url, file.size_bytes
+      )
+
+    return types.File._from_response(
+        _File_from_mldev(self._api_client, return_file['file']), None
+    )
+
+  async def list(
+      self, *, config: Optional[types.ListFilesConfigOrDict] = None
+  ) -> AsyncPager[types.File]:
+    return AsyncPager(
+        'files',
+        self._list,
+        await self._list(config=config),
+        config,
+    )
+
+  async def download(
+      self,
+      *,
+      file: Union[str, types.File],
+      config: Optional[types.DownloadFileConfigOrDict] = None,
+  ) -> bytes:
+    """Downloads a file's data from the file service.
+
+    The Vertex-AI implementation of the API foes not include the file service.
+
+    Files created by `upload` can't be downloaded. You can tell which files are
+    downloadable by checking the `download_uri` property.
+
+    Args:
+      File (str): A file name, uri, or file object. Identifying which file to
+        download.
+      config (DownloadFileConfigOrDict): Optional, configuration for the get
+        method.
+
+    Returns:
+      File: The file data as bytes.
+
+    Usage:
+
+    .. code-block:: python
+
+      for file client.files.list():
+        if file.download_uri is not None:
+          break
+      else:
+        raise ValueError('No files found with a `download_uri`.')
+      data = client.files.download(file=file)
+      # data = client.files.download(file=file.name)
+      # data = client.files.download(file=file.uri)
+    """
+    if self._api_client.vertexai:
+      raise ValueError(
+          'Vertex AI does not support the Files API. Use GCS files instead.'
+      )
+
+    config_model = None
+    if config:
+      if isinstance(config, dict):
+        config_model = types.DownloadFileConfig(**config)
+      else:
+        config_model = config
+
+    name = t.t_file_name(self, file)
+
+    path = f'files/{name}:download'
+
+    http_options = None
+    if getv(config_model, ['http_options']) is not None:
+      http_options = getv(config_model, ['http_options'])
+
+    query_params = {'alt': 'media'}
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+
+    data = await self._api_client.async_download_file(
+        path,
+        http_options,
+    )
+
+    return data