def summarize_patch(codereview_hostname, issue, patch, now):
attempts = [
summarize_attempt(raw_attempt, now)
for raw_attempt in get_raw_attempts(codereview_hostname, issue, patch)
]
attempts.reverse()
return {
'success': any(attempt['success'] for attempt in attempts),
'begin': maybe_min(attempt['begin'] for attempt in attempts),
'end': maybe_max(attempt['end'] for attempt in attempts),
'durations': {
field: sum(attempt['durations'][field] for attempt in attempts)
for field in blank_durations_summary()
},
'job_counts': {
state: sum(len(attempt['jobs'][state]) for attempt in attempts)
for state in JOB_STATE.itervalues()
},
'flaky_jobs': get_flaky_jobs(attempts),
'attempt_count': len(attempts),
'attempt_fail_count': sum(
1
for attempt in attempts
if attempt['success'] == False),
'attempts': attempts,
}
def blank_attempt_summary():
return {
'success': None,
'fail_reason': None,
'begin': None,
'end': None,
'durations': blank_durations_summary(),
'jobs': {state: [] for state in JOB_STATE.itervalues()},
}
def blank_attempt_summary(): # pragma: no cover
return {
"success": None,
"fail_reason": None,
"begin": None,
"end": None,
"durations": blank_durations_summary(),
"jobs": {state: [] for state in JOB_STATE.itervalues()},
}
def summarize_jobs(self, attempt_ended, last_timestamp):
summaries = {state: [] for state in JOB_STATE.itervalues()}
for builds in self.jobs.itervalues():
for jobs in builds.itervalues():
for job in jobs.itervalues():
if job['end'] == None: # pragma: no cover
if attempt_ended:
job['end'] = last_timestamp
job['duration'] = last_timestamp - job['begin']
summaries[job['state']].append(job)
for jobs in summaries.itervalues():
jobs.sort(key=lambda x: x['begin'], reverse=True)
return summaries
def summarize_jobs(self, attempt_ended, last_timestamp):
summaries = {state: [] for state in JOB_STATE.itervalues()}
for builds in self.jobs.itervalues():
for jobs in builds.itervalues():
for job in jobs.itervalues():
if job["end"] == None:
if attempt_ended:
job["end"] = last_timestamp
job["duration"] = last_timestamp - job["begin"]
summaries[job["state"]].append(job)
for jobs in summaries.itervalues():
jobs.sort(cmp=lambda x, y: cmp(y["begin"], x["begin"]))
return summaries
def summarize_jobs(self, attempt_ended, last_timestamp):
summaries = {state: [] for state in JOB_STATE.itervalues()}
for builds in self.jobs.itervalues():
for jobs in builds.itervalues():
for job in jobs.itervalues():
if job['end'] == None:
if attempt_ended:
job['end'] = last_timestamp
job['duration'] = last_timestamp - job['begin']
summaries[job['state']].append(job)
for jobs in summaries.itervalues():
jobs.sort(cmp=lambda x, y: cmp(y['begin'], x['begin']))
return summaries
def summarize_patch(issue, patch, now): # pragma: no cover
attempts = [summarize_attempt(raw_attempt, now) for raw_attempt in get_raw_attempts(issue, patch)][::-1]
return {
"success": any(attempt["success"] for attempt in attempts),
"begin": maybe_min(attempt["begin"] for attempt in attempts),
"end": maybe_max(attempt["end"] for attempt in attempts),
"durations": {
field: sum(attempt["durations"][field] for attempt in attempts) for field in blank_durations_summary()
},
"job_counts": {
state: sum(len(attempt["jobs"][state]) for attempt in attempts) for state in JOB_STATE.itervalues()
},
"flaky_jobs": get_flaky_jobs(attempts),
"attempt_count": len(attempts),
"attempt_fail_count": sum(1 for attempt in attempts if attempt["success"] == False),
"attempts": attempts,
}
