How to use on_quitting method in locust

Best Python code snippet using locust

frontend.py

Source:frontend.py

...52  max_wait = 150053"""54*on_quitting* is fired when the locust process is exiting55"""56def on_quitting(**kw):57    """ Upload data to GCS bucket on quit """58    storage_client = storage.Client()59    bucket = storage_client.get_bucket("artifacts.{}.appspot.com".format(os.environ['GCP_PROJECT']))60    rdir = os.path.dirname(os.path.realpath(__file__))61    rfiles = glob.glob(rdir + '/*.csv')62    for rfile in rfiles:63      time_postfix = str(datetime.now().replace(microsecond=0))64      blobname = Path(rfile).stem + '_' + time_postfix + '.csv'65      blob = bucket.blob('stress/' + blobname)66      blob.upload_from_filename(rfile)67      print("Test result is available via {}".format(blob.public_url))68    return69"""70Register locust.events.quitting hook if executing under --no-web mode in a kubernetes container...

hooks_sample.py

Source:hooks_sample.py

...9def on_locust_error(locust_instance, exception, tb):10    print "%r, %s, %s" % (locust_instance, exception, "".join(traceback.format_tb(tb)))11def on_hatch_complete(user_count):12    print "Haha, Locust have generate %d users" % user_count13def on_quitting():14    print "Locust is quiting"15events.request_success += on_request_success16events.request_failure += on_request_failure17events.locust_error += on_locust_error18events.hatch_complete += on_hatch_complete19events.quitting += on_quitting20class UserTask(TaskSet):21    @task(5)22    def job1(self):23        with self.client.get('/', catch_response = True) as r:24            if random.choice([0, 1]):25                r.success()26            else:27                r.failure('0')...

locustfile.py

Source:locustfile.py

...10    max_wait = 1500011    host = "http://www.noppanit.com"12def on_request_success(request_type, name, response_time, response_length):13    print 'on success'14def on_quitting():15    aggregated_stats = global_stats.aggregated_stats("Total").get_stripped_report()16    f = open('stats.json','w')17    f.write(str(aggregated_stats))18    f.close()...

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