return label
def text_report(self):
+ if not self.tasks:
+ return "(no report generated)\n"
return "\n".join(itertools.chain(
self._text_report_gen(),
self._recommend_gen())) + "\n"
lambda x: x * 100),
('Overall CPU usage: {}%',
self.job_tot['cpu']['user+sys'] /
- self.job_tot['time']['elapsed'],
+ self.job_tot['time']['elapsed']
+ if self.job_tot['time']['elapsed'] > 0 else 0,
lambda x: x * 100),
('Max memory used by a single task: {}GB',
self.stats_max['mem']['rss'],
else:
self.job = job
rdr = None
- if self.job['log']:
+ if self.job.get('log'):
try:
rdr = crunchstat_summary.reader.CollectionReader(self.job['log'])
except arvados.errors.NotFoundError as e:
if 'job' not in component:
logger.warning(
"%s: skipping component with no job assigned", cname)
- elif component['job'].get('log') is None:
- logger.warning(
- "%s: skipping job %s with no log available",
- cname, component['job'].get('uuid'))
else:
logger.info(
- "%s: logdata %s", cname, component['job']['log'])
+ "%s: job %s", cname, component['job']['uuid'])
summarizer = JobSummarizer(component['job'], **kwargs)
- summarizer.label = cname
+ summarizer.label = '{} {}'.format(
+ cname, component['job']['uuid'])
self.summarizers[cname] = summarizer
self.label = pipeline_instance_uuid
job_report + ['\n'] +
['### Summary for bar (zzzzz-8i9sb-000000000000001)\n'] +
job_report + ['\n'] +
+ ['### Summary for unfinished-job (zzzzz-8i9sb-xxxxxxxxxxxxxxx)\n',
+ '(no report generated)\n',
+ '\n'] +
['### Summary for baz (zzzzz-8i9sb-000000000000002)\n'] +
job_report)
self.diff_report(cmd, expect)