"""Generated client library for bigquery version v2."""
# NOTE: This file is autogenerated and should not be edited by hand.

from __future__ import absolute_import

from apitools.base.py import base_api
from samples.bigquery_sample.bigquery_v2 import bigquery_v2_messages as messages


class BigqueryV2(base_api.BaseApiClient):
  """Generated client library for service bigquery version v2."""

  MESSAGES_MODULE = messages
  BASE_URL = 'https://www.googleapis.com/bigquery/v2/'
  MTLS_BASE_URL = ''

  _PACKAGE = 'bigquery'
  _SCOPES = ['https://www.googleapis.com/auth/bigquery', 'https://www.googleapis.com/auth/bigquery.insertdata', 'https://www.googleapis.com/auth/cloud-platform', 'https://www.googleapis.com/auth/cloud-platform.read-only', 'https://www.googleapis.com/auth/devstorage.full_control', 'https://www.googleapis.com/auth/devstorage.read_only', 'https://www.googleapis.com/auth/devstorage.read_write']
  _VERSION = 'v2'
  _CLIENT_ID = 'CLIENT_ID'
  _CLIENT_SECRET = 'CLIENT_SECRET'
  _USER_AGENT = 'x_Tw5K8nnjoRAqULM9PFAC2b'
  _CLIENT_CLASS_NAME = 'BigqueryV2'
  _URL_VERSION = 'v2'
  _API_KEY = None

  def __init__(self, url='', credentials=None,
               get_credentials=True, http=None, model=None,
               log_request=False, log_response=False,
               credentials_args=None, default_global_params=None,
               additional_http_headers=None, response_encoding=None):
    """Create a new bigquery handle."""
    url = url or self.BASE_URL
    super(BigqueryV2, self).__init__(
        url, credentials=credentials,
        get_credentials=get_credentials, http=http, model=model,
        log_request=log_request, log_response=log_response,
        credentials_args=credentials_args,
        default_global_params=default_global_params,
        additional_http_headers=additional_http_headers,
        response_encoding=response_encoding)
    self.datasets = self.DatasetsService(self)
    self.jobs = self.JobsService(self)
    self.projects = self.ProjectsService(self)
    self.tabledata = self.TabledataService(self)
    self.tables = self.TablesService(self)

  class DatasetsService(base_api.BaseApiService):
    """Service class for the datasets resource."""

    _NAME = 'datasets'

    def __init__(self, client):
      super(BigqueryV2.DatasetsService, self).__init__(client)
      self._upload_configs = {
          }

    def Delete(self, request, global_params=None):
      r"""Deletes the dataset specified by the datasetId value. Before you can delete a dataset, you must delete all its tables, either manually or by specifying deleteContents. Immediately after deletion, you can create another dataset with the same name.

      Args:
        request: (BigqueryDatasetsDeleteRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (BigqueryDatasetsDeleteResponse) The response message.
      """
      config = self.GetMethodConfig('Delete')
      return self._RunMethod(
          config, request, global_params=global_params)

    Delete.method_config = lambda: base_api.ApiMethodInfo(
        http_method='DELETE',
        method_id='bigquery.datasets.delete',
        ordered_params=['projectId', 'datasetId'],
        path_params=['datasetId', 'projectId'],
        query_params=['deleteContents'],
        relative_path='projects/{projectId}/datasets/{datasetId}',
        request_field='',
        request_type_name='BigqueryDatasetsDeleteRequest',
        response_type_name='BigqueryDatasetsDeleteResponse',
        supports_download=False,
    )

    def Get(self, request, global_params=None):
      r"""Returns the dataset specified by datasetID.

      Args:
        request: (BigqueryDatasetsGetRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (Dataset) The response message.
      """
      config = self.GetMethodConfig('Get')
      return self._RunMethod(
          config, request, global_params=global_params)

    Get.method_config = lambda: base_api.ApiMethodInfo(
        http_method='GET',
        method_id='bigquery.datasets.get',
        ordered_params=['projectId', 'datasetId'],
        path_params=['datasetId', 'projectId'],
        query_params=[],
        relative_path='projects/{projectId}/datasets/{datasetId}',
        request_field='',
        request_type_name='BigqueryDatasetsGetRequest',
        response_type_name='Dataset',
        supports_download=False,
    )

    def Insert(self, request, global_params=None):
      r"""Creates a new empty dataset.

      Args:
        request: (BigqueryDatasetsInsertRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (Dataset) The response message.
      """
      config = self.GetMethodConfig('Insert')
      return self._RunMethod(
          config, request, global_params=global_params)

    Insert.method_config = lambda: base_api.ApiMethodInfo(
        http_method='POST',
        method_id='bigquery.datasets.insert',
        ordered_params=['projectId'],
        path_params=['projectId'],
        query_params=[],
        relative_path='projects/{projectId}/datasets',
        request_field='dataset',
        request_type_name='BigqueryDatasetsInsertRequest',
        response_type_name='Dataset',
        supports_download=False,
    )

    def List(self, request, global_params=None):
      r"""Lists all datasets in the specified project to which you have been granted the READER dataset role.

      Args:
        request: (BigqueryDatasetsListRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (DatasetList) The response message.
      """
      config = self.GetMethodConfig('List')
      return self._RunMethod(
          config, request, global_params=global_params)

    List.method_config = lambda: base_api.ApiMethodInfo(
        http_method='GET',
        method_id='bigquery.datasets.list',
        ordered_params=['projectId'],
        path_params=['projectId'],
        query_params=['all', 'filter', 'maxResults', 'pageToken'],
        relative_path='projects/{projectId}/datasets',
        request_field='',
        request_type_name='BigqueryDatasetsListRequest',
        response_type_name='DatasetList',
        supports_download=False,
    )

    def Patch(self, request, global_params=None):
      r"""Updates information in an existing dataset. The update method replaces the entire dataset resource, whereas the patch method only replaces fields that are provided in the submitted dataset resource. This method supports patch semantics.

      Args:
        request: (BigqueryDatasetsPatchRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (Dataset) The response message.
      """
      config = self.GetMethodConfig('Patch')
      return self._RunMethod(
          config, request, global_params=global_params)

    Patch.method_config = lambda: base_api.ApiMethodInfo(
        http_method='PATCH',
        method_id='bigquery.datasets.patch',
        ordered_params=['projectId', 'datasetId'],
        path_params=['datasetId', 'projectId'],
        query_params=[],
        relative_path='projects/{projectId}/datasets/{datasetId}',
        request_field='dataset',
        request_type_name='BigqueryDatasetsPatchRequest',
        response_type_name='Dataset',
        supports_download=False,
    )

    def Update(self, request, global_params=None):
      r"""Updates information in an existing dataset. The update method replaces the entire dataset resource, whereas the patch method only replaces fields that are provided in the submitted dataset resource.

      Args:
        request: (BigqueryDatasetsUpdateRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (Dataset) The response message.
      """
      config = self.GetMethodConfig('Update')
      return self._RunMethod(
          config, request, global_params=global_params)

    Update.method_config = lambda: base_api.ApiMethodInfo(
        http_method='PUT',
        method_id='bigquery.datasets.update',
        ordered_params=['projectId', 'datasetId'],
        path_params=['datasetId', 'projectId'],
        query_params=[],
        relative_path='projects/{projectId}/datasets/{datasetId}',
        request_field='dataset',
        request_type_name='BigqueryDatasetsUpdateRequest',
        response_type_name='Dataset',
        supports_download=False,
    )

  class JobsService(base_api.BaseApiService):
    """Service class for the jobs resource."""

    _NAME = 'jobs'

    def __init__(self, client):
      super(BigqueryV2.JobsService, self).__init__(client)
      self._upload_configs = {
          'Insert': base_api.ApiUploadInfo(
              accept=['*/*'],
              max_size=None,
              resumable_multipart=True,
              resumable_path='/resumable/upload/bigquery/v2/projects/{projectId}/jobs',
              simple_multipart=True,
              simple_path='/upload/bigquery/v2/projects/{projectId}/jobs',
          ),
          }

    def Cancel(self, request, global_params=None):
      r"""Requests that a job be cancelled. This call will return immediately, and the client will need to poll for the job status to see if the cancel completed successfully. Cancelled jobs may still incur costs.

      Args:
        request: (BigqueryJobsCancelRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (JobCancelResponse) The response message.
      """
      config = self.GetMethodConfig('Cancel')
      return self._RunMethod(
          config, request, global_params=global_params)

    Cancel.method_config = lambda: base_api.ApiMethodInfo(
        http_method='POST',
        method_id='bigquery.jobs.cancel',
        ordered_params=['projectId', 'jobId'],
        path_params=['jobId', 'projectId'],
        query_params=[],
        relative_path='project/{projectId}/jobs/{jobId}/cancel',
        request_field='',
        request_type_name='BigqueryJobsCancelRequest',
        response_type_name='JobCancelResponse',
        supports_download=False,
    )

    def Get(self, request, global_params=None):
      r"""Returns information about a specific job. Job information is available for a six month period after creation. Requires that you're the person who ran the job, or have the Is Owner project role.

      Args:
        request: (BigqueryJobsGetRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (Job) The response message.
      """
      config = self.GetMethodConfig('Get')
      return self._RunMethod(
          config, request, global_params=global_params)

    Get.method_config = lambda: base_api.ApiMethodInfo(
        http_method='GET',
        method_id='bigquery.jobs.get',
        ordered_params=['projectId', 'jobId'],
        path_params=['jobId', 'projectId'],
        query_params=[],
        relative_path='projects/{projectId}/jobs/{jobId}',
        request_field='',
        request_type_name='BigqueryJobsGetRequest',
        response_type_name='Job',
        supports_download=False,
    )

    def GetQueryResults(self, request, global_params=None):
      r"""Retrieves the results of a query job.

      Args:
        request: (BigqueryJobsGetQueryResultsRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (GetQueryResultsResponse) The response message.
      """
      config = self.GetMethodConfig('GetQueryResults')
      return self._RunMethod(
          config, request, global_params=global_params)

    GetQueryResults.method_config = lambda: base_api.ApiMethodInfo(
        http_method='GET',
        method_id='bigquery.jobs.getQueryResults',
        ordered_params=['projectId', 'jobId'],
        path_params=['jobId', 'projectId'],
        query_params=['maxResults', 'pageToken', 'startIndex', 'timeoutMs'],
        relative_path='projects/{projectId}/queries/{jobId}',
        request_field='',
        request_type_name='BigqueryJobsGetQueryResultsRequest',
        response_type_name='GetQueryResultsResponse',
        supports_download=False,
    )

    def Insert(self, request, global_params=None, upload=None):
      r"""Starts a new asynchronous job. Requires the Can View project role.

      Args:
        request: (BigqueryJobsInsertRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
        upload: (Upload, default: None) If present, upload
            this stream with the request.
      Returns:
        (Job) The response message.
      """
      config = self.GetMethodConfig('Insert')
      upload_config = self.GetUploadConfig('Insert')
      return self._RunMethod(
          config, request, global_params=global_params,
          upload=upload, upload_config=upload_config)

    Insert.method_config = lambda: base_api.ApiMethodInfo(
        http_method='POST',
        method_id='bigquery.jobs.insert',
        ordered_params=['projectId'],
        path_params=['projectId'],
        query_params=[],
        relative_path='projects/{projectId}/jobs',
        request_field='job',
        request_type_name='BigqueryJobsInsertRequest',
        response_type_name='Job',
        supports_download=False,
    )

    def List(self, request, global_params=None):
      r"""Lists all jobs that you started in the specified project. Job information is available for a six month period after creation. The job list is sorted in reverse chronological order, by job creation time. Requires the Can View project role, or the Is Owner project role if you set the allUsers property.

      Args:
        request: (BigqueryJobsListRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (JobList) The response message.
      """
      config = self.GetMethodConfig('List')
      return self._RunMethod(
          config, request, global_params=global_params)

    List.method_config = lambda: base_api.ApiMethodInfo(
        http_method='GET',
        method_id='bigquery.jobs.list',
        ordered_params=['projectId'],
        path_params=['projectId'],
        query_params=['allUsers', 'maxResults', 'pageToken', 'projection', 'stateFilter'],
        relative_path='projects/{projectId}/jobs',
        request_field='',
        request_type_name='BigqueryJobsListRequest',
        response_type_name='JobList',
        supports_download=False,
    )

    def Query(self, request, global_params=None):
      r"""Runs a BigQuery SQL query synchronously and returns query results if the query completes within a specified timeout.

      Args:
        request: (BigqueryJobsQueryRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (QueryResponse) The response message.
      """
      config = self.GetMethodConfig('Query')
      return self._RunMethod(
          config, request, global_params=global_params)

    Query.method_config = lambda: base_api.ApiMethodInfo(
        http_method='POST',
        method_id='bigquery.jobs.query',
        ordered_params=['projectId'],
        path_params=['projectId'],
        query_params=[],
        relative_path='projects/{projectId}/queries',
        request_field='queryRequest',
        request_type_name='BigqueryJobsQueryRequest',
        response_type_name='QueryResponse',
        supports_download=False,
    )

  class ProjectsService(base_api.BaseApiService):
    """Service class for the projects resource."""

    _NAME = 'projects'

    def __init__(self, client):
      super(BigqueryV2.ProjectsService, self).__init__(client)
      self._upload_configs = {
          }

    def List(self, request, global_params=None):
      r"""Lists all projects to which you have been granted any project role.

      Args:
        request: (BigqueryProjectsListRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (ProjectList) The response message.
      """
      config = self.GetMethodConfig('List')
      return self._RunMethod(
          config, request, global_params=global_params)

    List.method_config = lambda: base_api.ApiMethodInfo(
        http_method='GET',
        method_id='bigquery.projects.list',
        ordered_params=[],
        path_params=[],
        query_params=['maxResults', 'pageToken'],
        relative_path='projects',
        request_field='',
        request_type_name='BigqueryProjectsListRequest',
        response_type_name='ProjectList',
        supports_download=False,
    )

  class TabledataService(base_api.BaseApiService):
    """Service class for the tabledata resource."""

    _NAME = 'tabledata'

    def __init__(self, client):
      super(BigqueryV2.TabledataService, self).__init__(client)
      self._upload_configs = {
          }

    def InsertAll(self, request, global_params=None):
      r"""Streams data into BigQuery one record at a time without needing to run a load job. Requires the WRITER dataset role.

      Args:
        request: (BigqueryTabledataInsertAllRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (TableDataInsertAllResponse) The response message.
      """
      config = self.GetMethodConfig('InsertAll')
      return self._RunMethod(
          config, request, global_params=global_params)

    InsertAll.method_config = lambda: base_api.ApiMethodInfo(
        http_method='POST',
        method_id='bigquery.tabledata.insertAll',
        ordered_params=['projectId', 'datasetId', 'tableId'],
        path_params=['datasetId', 'projectId', 'tableId'],
        query_params=[],
        relative_path='projects/{projectId}/datasets/{datasetId}/tables/{tableId}/insertAll',
        request_field='tableDataInsertAllRequest',
        request_type_name='BigqueryTabledataInsertAllRequest',
        response_type_name='TableDataInsertAllResponse',
        supports_download=False,
    )

    def List(self, request, global_params=None):
      r"""Retrieves table data from a specified set of rows. Requires the READER dataset role.

      Args:
        request: (BigqueryTabledataListRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (TableDataList) The response message.
      """
      config = self.GetMethodConfig('List')
      return self._RunMethod(
          config, request, global_params=global_params)

    List.method_config = lambda: base_api.ApiMethodInfo(
        http_method='GET',
        method_id='bigquery.tabledata.list',
        ordered_params=['projectId', 'datasetId', 'tableId'],
        path_params=['datasetId', 'projectId', 'tableId'],
        query_params=['maxResults', 'pageToken', 'startIndex'],
        relative_path='projects/{projectId}/datasets/{datasetId}/tables/{tableId}/data',
        request_field='',
        request_type_name='BigqueryTabledataListRequest',
        response_type_name='TableDataList',
        supports_download=False,
    )

  class TablesService(base_api.BaseApiService):
    """Service class for the tables resource."""

    _NAME = 'tables'

    def __init__(self, client):
      super(BigqueryV2.TablesService, self).__init__(client)
      self._upload_configs = {
          }

    def Delete(self, request, global_params=None):
      r"""Deletes the table specified by tableId from the dataset. If the table contains data, all the data will be deleted.

      Args:
        request: (BigqueryTablesDeleteRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (BigqueryTablesDeleteResponse) The response message.
      """
      config = self.GetMethodConfig('Delete')
      return self._RunMethod(
          config, request, global_params=global_params)

    Delete.method_config = lambda: base_api.ApiMethodInfo(
        http_method='DELETE',
        method_id='bigquery.tables.delete',
        ordered_params=['projectId', 'datasetId', 'tableId'],
        path_params=['datasetId', 'projectId', 'tableId'],
        query_params=[],
        relative_path='projects/{projectId}/datasets/{datasetId}/tables/{tableId}',
        request_field='',
        request_type_name='BigqueryTablesDeleteRequest',
        response_type_name='BigqueryTablesDeleteResponse',
        supports_download=False,
    )

    def Get(self, request, global_params=None):
      r"""Gets the specified table resource by table ID. This method does not return the data in the table, it only returns the table resource, which describes the structure of this table.

      Args:
        request: (BigqueryTablesGetRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (Table) The response message.
      """
      config = self.GetMethodConfig('Get')
      return self._RunMethod(
          config, request, global_params=global_params)

    Get.method_config = lambda: base_api.ApiMethodInfo(
        http_method='GET',
        method_id='bigquery.tables.get',
        ordered_params=['projectId', 'datasetId', 'tableId'],
        path_params=['datasetId', 'projectId', 'tableId'],
        query_params=[],
        relative_path='projects/{projectId}/datasets/{datasetId}/tables/{tableId}',
        request_field='',
        request_type_name='BigqueryTablesGetRequest',
        response_type_name='Table',
        supports_download=False,
    )

    def Insert(self, request, global_params=None):
      r"""Creates a new, empty table in the dataset.

      Args:
        request: (BigqueryTablesInsertRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (Table) The response message.
      """
      config = self.GetMethodConfig('Insert')
      return self._RunMethod(
          config, request, global_params=global_params)

    Insert.method_config = lambda: base_api.ApiMethodInfo(
        http_method='POST',
        method_id='bigquery.tables.insert',
        ordered_params=['projectId', 'datasetId'],
        path_params=['datasetId', 'projectId'],
        query_params=[],
        relative_path='projects/{projectId}/datasets/{datasetId}/tables',
        request_field='table',
        request_type_name='BigqueryTablesInsertRequest',
        response_type_name='Table',
        supports_download=False,
    )

    def List(self, request, global_params=None):
      r"""Lists all tables in the specified dataset. Requires the READER dataset role.

      Args:
        request: (BigqueryTablesListRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (TableList) The response message.
      """
      config = self.GetMethodConfig('List')
      return self._RunMethod(
          config, request, global_params=global_params)

    List.method_config = lambda: base_api.ApiMethodInfo(
        http_method='GET',
        method_id='bigquery.tables.list',
        ordered_params=['projectId', 'datasetId'],
        path_params=['datasetId', 'projectId'],
        query_params=['maxResults', 'pageToken'],
        relative_path='projects/{projectId}/datasets/{datasetId}/tables',
        request_field='',
        request_type_name='BigqueryTablesListRequest',
        response_type_name='TableList',
        supports_download=False,
    )

    def Patch(self, request, global_params=None):
      r"""Updates information in an existing table. The update method replaces the entire table resource, whereas the patch method only replaces fields that are provided in the submitted table resource. This method supports patch semantics.

      Args:
        request: (BigqueryTablesPatchRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (Table) The response message.
      """
      config = self.GetMethodConfig('Patch')
      return self._RunMethod(
          config, request, global_params=global_params)

    Patch.method_config = lambda: base_api.ApiMethodInfo(
        http_method='PATCH',
        method_id='bigquery.tables.patch',
        ordered_params=['projectId', 'datasetId', 'tableId'],
        path_params=['datasetId', 'projectId', 'tableId'],
        query_params=[],
        relative_path='projects/{projectId}/datasets/{datasetId}/tables/{tableId}',
        request_field='table',
        request_type_name='BigqueryTablesPatchRequest',
        response_type_name='Table',
        supports_download=False,
    )

    def Update(self, request, global_params=None):
      r"""Updates information in an existing table. The update method replaces the entire table resource, whereas the patch method only replaces fields that are provided in the submitted table resource.

      Args:
        request: (BigqueryTablesUpdateRequest) input message
        global_params: (StandardQueryParameters, default: None) global arguments
      Returns:
        (Table) The response message.
      """
      config = self.GetMethodConfig('Update')
      return self._RunMethod(
          config, request, global_params=global_params)

    Update.method_config = lambda: base_api.ApiMethodInfo(
        http_method='PUT',
        method_id='bigquery.tables.update',
        ordered_params=['projectId', 'datasetId', 'tableId'],
        path_params=['datasetId', 'projectId', 'tableId'],
        query_params=[],
        relative_path='projects/{projectId}/datasets/{datasetId}/tables/{tableId}',
        request_field='table',
        request_type_name='BigqueryTablesUpdateRequest',
        response_type_name='Table',
        supports_download=False,
    )
