def DownloadJobResultsAsCsv(job_ids, only_differences, output_file):
"""Download the perf results of a job as a csv file."""
with open(output_file, 'wb') as f:
writer = csv.writer(f)
writer.writerow(('job_id', 'change', 'isolate') +
histograms_df.COLUMNS)
num_rows = 0
for job_id in job_ids:
job = pinpoint_service.Job(job_id, with_state=True)
os_path = _OsPathFromJob(job)
results_file = os_path.join(job['arguments']['benchmark'],
'perf_results.json')
print('Fetching results for %s job %s:' %
(job['status'].lower(), job_id))
for change_id, isolate_hash in job_results.IterTestOutputIsolates(
job, only_differences):
print('- isolate: %s ...' % isolate_hash)
try:
histograms = isolate_service.RetrieveFile(
isolate_hash, results_file)
except KeyError:
logging.warning(
'Skipping over isolate, results not found.')
continue
for row in histograms_df.IterRows(json.loads(histograms)):
writer.writerow((job_id, change_id, isolate_hash) + row)
num_rows += 1
print('Wrote data from %d histograms in %s.' % (num_rows, output_file))
def CheckJobStatus(job_ids):
for job_id in job_ids:
job = pinpoint_service.Job(job_id)
print '%s: %s' % (job_id, job['status'].lower())
def testJob_withState(self):
self.assertEqual(pinpoint_service.Job('1234', with_state=True), 'OK')
self.mock_request.assert_called_once_with(
pinpoint_service.SERVICE_URL + '/job/1234', params=[('o', 'STATE')],
use_auth=True, accept='json')
def testJob(self):
self.assertEqual(pinpoint_service.Job('1234'), 'OK')
self.mock_request.assert_called_once_with(
pinpoint_service.SERVICE_URL + '/job/1234', params=[], use_auth=True,
accept='json')
