Add scopes into a GCP token

[moiseenkov]

This PR provides a small fix that adds missing scopes into a token.

Relates to #34727 and continues #36849, #36903.

In our use case we have a DAG (see below) with BigQueryInsertJobOperator with the following characteristics:

• deferrable mode;
• impersonation chain contains service account;
• the BigQuery job operates over a dataset that belongs to a different GCP project.

In this case instantiation of the newly implemented class _CredentialsToken fails with exception raise in the base class:

{bigquery.py:111} ERROR - Exception occurred while checking for query completion
Traceback (most recent call last):
  File "/opt/airflow/airflow/providers/google/cloud/triggers/bigquery.py", line 90, in run
    job_status = await hook.get_job_status(job_id=self.job_id, project_id=self.project_id)
  File "/opt/airflow/airflow/providers/google/cloud/hooks/bigquery.py", line 3300, in get_job_status
    job_client = await self.get_job_instance(project_id, job_id, s)
  File "/opt/airflow/airflow/providers/google/cloud/hooks/bigquery.py", line 3290, in get_job_instance
    token = await self.get_token(session=session)
  File "/opt/airflow/airflow/providers/google/common/hooks/base_google.py", line 695, in get_token
    return await _CredentialsToken.from_hook(sync_hook, session=session)
  File "/opt/airflow/airflow/providers/google/common/hooks/base_google.py", line 658, in from_hook
    return cls(
  File "/opt/airflow/airflow/providers/google/common/hooks/base_google.py", line 646, in __init__
    super().__init__(session=cast(Session, session))
  File "/usr/local/lib/python3.8/site-packages/gcloud/aio/auth/token.py", line 157, in __init__
    raise Exception(
Exception: scopes must be provided when token type is service account

Current PR simply passes hook scopes into the _CredentialsToken, so the base class Token would work properly.

---

DAG

from datetime import datetime

from airflow import DAG
from airflow.providers.google.cloud.operators.bigquery import (
    BigQueryCreateEmptyDatasetOperator,
    BigQueryCreateEmptyTableOperator,
    BigQueryInsertJobOperator,
)

ENV_ID = "TEST_ENV"
PROJECT_ID = "TEST_PROJECT"

DAG_ID = "example_bigquery_queries_async"

DATASET_NAME = f"bq_d_{DAG_ID}_{ENV_ID}".replace("-", "_")
LOCATION = "us"

TABLE_NAME_1 = f"bq_{DAG_ID}_{ENV_ID}_1".replace("-", "_")
TABLE_NAME_2 = f"table_{DAG_ID}_{ENV_ID}_2".replace("-", "_")

SCHEMA = [
    {"name": "value", "type": "INTEGER", "mode": "REQUIRED"},
    {"name": "name", "type": "STRING", "mode": "NULLABLE"},
    {"name": "ds", "type": "STRING", "mode": "NULLABLE"},
]

INSERT_DATE = datetime.now().strftime("%Y-%m-%d")
INSERT_ROWS_QUERY = (
    f"INSERT {DATASET_NAME}.{TABLE_NAME_1} VALUES "
    f"(42, 'monthy python', '{INSERT_DATE}'), "
    f"(42, 'fishy fish', '{INSERT_DATE}');"
)
SA = "[email protected]"


with DAG(
    dag_id=DAG_ID,
    schedule="@once",
    start_date=datetime(2022, 1, 1),
    catchup=False,
    tags=["example", "bigquery", "deferrable"],
    user_defined_macros={"DATASET": DATASET_NAME, "TABLE": TABLE_NAME_1},
) as dag:

    create_dataset = BigQueryCreateEmptyDatasetOperator(
        task_id="create_dataset",
        dataset_id=DATASET_NAME,
        location=LOCATION,
        project_id=PROJECT_ID,
        impersonation_chain=SA,
    )

    create_table_1 = BigQueryCreateEmptyTableOperator(
        task_id="create_table_1",
        dataset_id=DATASET_NAME,
        table_id=TABLE_NAME_1,
        schema_fields=SCHEMA,
        location=LOCATION,
        project_id=PROJECT_ID,
        impersonation_chain=SA,
    )

    insert_query_job_imp = BigQueryInsertJobOperator(
        task_id="insert_query_job_imp",
        project_id=PROJECT_ID,
        configuration={
            "query": {
                "query": INSERT_ROWS_QUERY,
                "useLegacySql": False,
                "priority": "BATCH",
            }
        },
        location=LOCATION,
        impersonation_chain=SA,
        deferrable=True,
    )

    create_dataset >> create_table_1 >> insert_query_job_imp

[VladaZakharova]

Hi @m1racoli @Lee-W @pankajastro !
Can you please check changes from this PR? Thanks!

[dirrao]

Existing test cases failing. Proposed a change to fix it.

[m1racoli]

Thanks for this!