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|
| | import datetime |
| | from typing import Iterator |
| | import uuid |
| |
|
| | from google.cloud import bigquery |
| | import pytest |
| |
|
| |
|
| | def temp_suffix() -> str: |
| | now = datetime.datetime.now() |
| | return f"{now.strftime('%Y%m%d%H%M%S')}_{uuid.uuid4().hex[:8]}" |
| |
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|
| | @pytest.fixture(scope="session") |
| | def bigquery_client() -> bigquery.Client: |
| | bigquery_client = bigquery.Client() |
| | return bigquery_client |
| |
|
| |
|
| | @pytest.fixture(scope="session") |
| | def project_id(bigquery_client: bigquery.Client) -> str: |
| | return bigquery_client.project |
| |
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| |
|
| | @pytest.fixture |
| | def dataset_id(bigquery_client: bigquery.Client) -> Iterator[str]: |
| | dataset_id = f"geography_{temp_suffix()}" |
| | bigquery_client.create_dataset(dataset_id) |
| | yield dataset_id |
| | bigquery_client.delete_dataset(dataset_id, delete_contents=True) |
| |
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| |
|
| | @pytest.fixture |
| | def table_id( |
| | bigquery_client: bigquery.Client, project_id: str, dataset_id: str |
| | ) -> Iterator[str]: |
| | table_id = f"{project_id}.{dataset_id}.geography_{temp_suffix()}" |
| | table = bigquery.Table(table_id) |
| | table.schema = [ |
| | bigquery.SchemaField("geo", bigquery.SqlTypeNames.GEOGRAPHY), |
| | ] |
| | bigquery_client.create_table(table) |
| | yield table_id |
| | bigquery_client.delete_table(table_id) |
| |
|