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total_logs.py
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81 lines (67 loc) · 3.19 KB
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# MIT License
# Copyright (c) 2023 HUMAN Security.
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
"""
This file extracts the logs from each project you have permissions to under your BQ account and pushes it into a BQ table
Input: Relevant credentials for BQ access
Output: BQ table with last time a table was called
"""
import pandas as pd
from google.cloud import bigquery
import os
def extracting_logs(client, project_name):
total_logs_query = """
SELECT *
FROM (
SELECT user_email,
job_type,
last_run_date,
project_id,
dataset_id,
table_id,
query,
row_number() OVER (PARTITION BY project_id,dataset_id,table_id order by last_run_date desc) as last_call
FROM (
SELECT user_email,
job_type,
date(start_time) as last_run_date,
referenced_tables,
query,
FROM `{}.`.`region-us`.INFORMATION_SCHEMA.JOBS
WHERE query IS NOT NULL
),unnest(referenced_tables)
)
where last_call = 1
"""
projects = [x.project_id for x in client.list_projects()]
all_logs_df = pd.DataFrame()
for project in projects:
# credentials
client = bigquery.Client(project=project)
try:
df = client.query(total_logs_query.format(project)).result().to_dataframe()
if (len(df) > 0):
all_logs_df = pd.concat([all_logs_df, df], ignore_index=True, sort=False)
except Exception as exe:
print('Could not load project: ', project)
pass
all_logs_df.last_run_date = all_logs_df.last_run_date.astype(
'datetime64[ns]') # Changing the type of the date so BQ will be able to load it
all_logs_df.to_gbq(destination_table='Data_Defender.total_logs', project_id=project_name, if_exists='replace')
print('Finished total logs')
def main(client, project_name):
extracting_logs(client, project_name)