FastAPI can be tested using a Big Query client in the backend by following these steps:
Install the Google Cloud SDK and authenticate with your Google Cloud account.
Create a project in the Google Cloud Console and enable the BigQuery API.
Create a service account and download the credentials file.
In your FastAPI application, initialize a BigQuery client using the credentials file and the project ID.
from google.cloud 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")
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
pytest test_file.py
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.
Asked: 2021-06-06 11:00:00 +0000
Seen: 1 times
Last updated: Aug 29 '22