class_docstr: Polls for the status of a report request.
  
  .. seealso::
      For API documentation check:
      https://developers.google.com/search-ads/v2/reference/reports/get
  
  .. seealso::
      For more information on how to use this operator, take a look at the guide:
      :ref:`howto/operator:GoogleSearchAdsReportSensor`
  
  :param report_id: ID of the report request being polled.
  :param api_version: The version of the api that will be requested for example 'v3'.
  :param gcp_conn_id: The connection ID to use when fetching connection info.
  :param delegate_to: The account to impersonate using domain-wide delegation of authority,
      if any. For this to work, the service account making the request must have
      domain-wide delegation enabled.
  :param impersonation_chain: Optional service account to impersonate using short-term
      credentials, or chained list of accounts required to get the access_token
      of the last account in the list, which will be impersonated in the request.
      If set as a string, the account must grant the originating account
      the Service Account Token Creator IAM role.
      If set as a sequence, the identities from the list must grant
      Service Account Token Creator IAM role to the directly preceding identity, with first
      account from the list granting this role to the originating account (templated).
code: def __init__(
      self,
      *,
      report_id: str,
      api_version: str = "v2",
      gcp_conn_id: str = "google_cloud_default",
      delegate_to: str | None = None,
      mode: str = "reschedule",
      poke_interval: int = 5 * 60,
      impersonation_chain: str | Sequence[str] | None = None,
      **kwargs,
  ) -> None:
      super().__init__(mode=mode, poke_interval=poke_interval, **kwargs)
      self.report_id = report_id
      self.api_version = api_version
      self.gcp_conn_id = gcp_conn_id
      self.delegate_to = delegate_to
      self.impersonation_chain = impersonation_chain
  
file_path: airflow/airflow/providers/google/marketing_platform/sensors/search_ads.py
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Sequence
  from airflow.providers.google.marketing_platform.hooks.search_ads import GoogleSearchAdsHook
  from airflow.sensors.base import BaseSensorOperator
label_desc: Use image node_id 1 to create a new GoogleSearchAdsReportSensor object from inherited base classes: BaseSensorOperator with example: obj = GoogleSearchAdsReportSensor()