gcp billing bigquery python get

2020-12-11

To enable export or update the export settings, click Edit settings.

From the Project list, select the project that you set up to contain your BigQuery dataset. …

From the Billing export dataset list, select the dataset that you set up to contain your exported Cloud Billing data. …

Click Save.

用 python 抓帳單

GCP token service-accounts 建立

gcloud iam service-accounts create --display-name=gitlab-ci gitlab-ci
gcloud iam service-accounts list
gcloud iam service-accounts keys create ~/key.json   --iam-account 3XXXXXXXX@cloudservices.gserviceaccount.com

帳單要設定 BigQuery

bq ls
bq ls data

import os,requests
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = '/root/gcp/token.json'
from google.cloud import bigquery

# Construct a BigQuery client object.
client = bigquery.Client()

query = """
SELECT
  invoice.month,
  SUM(cost)
    + SUM(IFNULL((SELECT SUM(c.amount)
                  FROM UNNEST(credits) c), 0))
    AS total,
  (SUM(CAST(cost * 1000000 AS int64))
    + SUM(IFNULL((SELECT SUM(CAST(c.amount * 1000000 as int64))
                  FROM UNNEST(credits) c), 0))) / 1000000
    AS total_exact
FROM `XXXXXX-2XXXXXX.data.gcp_billing_export_v1_01111C_E1111_81111`
GROUP BY 1
ORDER BY 1 ASC
"""
query_job = client.query(query)  # Make an API request.
balance = "GCP google 云(XXXX)\n"
for r in query_job:
    balance = balance + "年月: {} 费用: {}\n".format(r.get('month'), r.get('total_exact'))
data = {'chat_id': '-3XXXXXXXXX', 'text': balance}
url = 'https://api.telegram.org/bot123443323:AXXXXXXXXXXXXXXXXXXXXXXX/sendMessage'
requests.post(url, data, verify=False))