tools/gcp/stress_test/run_server.py

#!/usr/bin/env python2.7
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import datetime
import os
import select
import subprocess
import sys
import time

from stress_test_utils import BigQueryHelper
from stress_test_utils import EventType


def run_server():
  """This is a wrapper around the interop server and performs the following:
      1) Create a 'Summary table' in Big Query to record events like the server
         started, completed successfully or failed. NOTE: This also creates
         another table called the QPS table which is currently NOT needed on the
         server (it is needed on the stress test clients)
      2) Start the server process and add a row in Big Query summary table
      3) Wait for the server process to terminate. The server process does not
         terminate unless there is an error.
         If the server process terminated with a failure, add a row in Big Query
         and wait forever.
         NOTE: This script typically runs inside a GKE pod which means that the
         pod gets destroyed when the script exits. However, in case the server
         process fails, we would not want the pod to be destroyed (since we
         might want to connect to the pod for examining logs). This is the
         reason why the script waits forever in case of failures.
  """

  # Read the parameters from environment variables
  env = dict(os.environ)

  run_id = env['RUN_ID']  # The unique run id for this test
  image_type = env['STRESS_TEST_IMAGE_TYPE']
  image_name = env['STRESS_TEST_IMAGE']
  args_str = env['STRESS_TEST_ARGS_STR']
  pod_name = env['POD_NAME']
  project_id = env['GCP_PROJECT_ID']
  dataset_id = env['DATASET_ID']
  summary_table_id = env['SUMMARY_TABLE_ID']
  qps_table_id = env['QPS_TABLE_ID']

  logfile_name = env.get('LOGFILE_NAME')

  print('pod_name: %s, project_id: %s, run_id: %s, dataset_id: %s, '
        'summary_table_id: %s, qps_table_id: %s') % (
            pod_name, project_id, run_id, dataset_id, summary_table_id,
            qps_table_id)

  bq_helper = BigQueryHelper(run_id, image_type, pod_name, project_id,
                             dataset_id, summary_table_id, qps_table_id)
  bq_helper.initialize()

  # Create BigQuery Dataset and Tables: Summary Table and Metrics Table
  if not bq_helper.setup_tables():
    print 'Error in creating BigQuery tables'
    return

  start_time = datetime.datetime.now()

  logfile = None
  details = 'Logging to stdout'
  if logfile_name is not None:
    print 'Opening log file: ', logfile_name
    logfile = open(logfile_name, 'w')
    details = 'Logfile: %s' % logfile_name

  # Update status that the test is starting (in the status table)
  bq_helper.insert_summary_row(EventType.STARTING, details)

  stress_cmd = [image_name] + [x for x in args_str.split()]

  print 'Launching process %s ...' % stress_cmd
  stress_p = subprocess.Popen(args=stress_cmd,
                              stdout=logfile,
                              stderr=subprocess.STDOUT)

  returncode = stress_p.wait()
  if returncode != 0:
    end_time = datetime.datetime.now().isoformat()
    event_type = EventType.FAILURE
    details = 'Returncode: %d; End time: %s' % (returncode, end_time)
    bq_helper.insert_summary_row(event_type, details)
    print 'Waiting indefinitely..'
    select.select([], [], [])
  return returncode


if __name__ == '__main__':
  run_server()