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How can FastAPI be tested using a Big Query client in the backend?

asked 2021-06-06 11:00:00 +0000

pufferfish gravatar image

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answered 2022-08-29 05:00:00 +0000

bukephalos gravatar image

FastAPI can be tested using a Big Query client in the backend by following these steps:

  1. Install the Google Cloud SDK and authenticate with your Google Cloud account.

  2. Create a project in the Google Cloud Console and enable the BigQuery API.

  3. Create a service account and download the credentials file.

  4. In your FastAPI application, initialize a BigQuery client using the credentials file and the project ID.

from import bigquery

# Set path to credentials file
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "path/to/credentials.json"

# Initialize BigQuery client
client = bigquery.Client(project="project-id")
  1. Write a test that uses the BigQuery client to insert data into a test table.
def test_insert_data(client):
    query = """
        INSERT INTO `project-id.dataset.table` (col1, col2, col3)
        VALUES ('value 1', 'value 2', 'value 3')
    job = client.query(query)
    assert job.state == "DONE" and not job.errors
  1. Run the test using a testing framework such as pytest.
  1. Verify that the data has been inserted correctly in the BigQuery console.

By using a BigQuery client in the backend, you can test the integration between your FastAPI application and your BigQuery dataset. This allows you to ensure that your data pipeline is working correctly and that your data is being stored and processed as expected.

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Asked: 2021-06-06 11:00:00 +0000

Seen: 1 times

Last updated: Aug 29 '22