Created
July 2, 2023 14:29
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Get monthly GCP costs for FY2023 by project in BigQuery
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import pandas as pd | |
# Query of BigQuery | |
bq_query = """ | |
SELECT | |
project.id | |
, SUM(COALESCE((SELECT SUM(x.amount) FROM UNNEST(credits) x), 0) + cost) as cost | |
, SUM(cost) as raw_cost | |
, SUM(COALESCE((SELECT SUM(x.amount) FROM UNNEST(credits) x), 0)) AS credits_amount | |
FROM | |
`__GCP_PROJECT_ID__.billing_management.gcp_billing_export_v1_000000_000000_000000` | |
WHERE | |
usage_start_time > TIMESTAMP('2023-04-01 09:00:00') | |
AND usage_start_time < TIMESTAMP('2024-04-01 09:00:00') | |
GROUP BY 1 | |
ORDER BY 1 | |
""" | |
def main(): | |
data_frame = pd.read_gbq(bq_query, "__GCP_PROJECT_ID__") | |
print(data_frame) | |
print("Sum: " + str(sum(data_frame["cost"]))) # Sum of cost columns | |
print(data_frame.to_csv().encode("utf-8")) # Print in CSV | |
if __name__ == "__main__": | |
main() |
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