def add_analytics_data(job_metrics, workdir, state):
"""
Add the memory leak+chi2 analytics data to the job metrics.
:param job_metrics: job metrics (string).
:param workdir: work directory (string).
:param state: job state (string).
:return: updated job metrics (string).
"""
path = os.path.join(workdir, get_memory_monitor_output_filename())
if os.path.exists(path):
client = analytics.Analytics()
# do not include tails on final update
tails = False if (state == "finished" or state == "failed"
or state == "holding") else True
data = client.get_fitted_data(path, tails=tails)
slope = data.get("slope", "")
chi2 = data.get("chi2", "")
if slope != "":
job_metrics += get_job_metrics_entry("leak", slope)
if chi2 != "":
job_metrics += get_job_metrics_entry("chi2", chi2)
return job_metrics
def get_job_metrics(job):
"""
Return a properly formatted job metrics string.
The format of the job metrics string is defined by the server. It will be reported to the server during updateJob.
Example of job metrics:
Number of events read | Number of events written | vmPeak maximum | vmPeak average | RSS average | ..
Format: nEvents=<int> nEventsW=<int> vmPeakMax=<int> vmPeakMean=<int> RSSMean=<int> hs06=<float> shutdownTime=<int>
cpuFactor=<float> cpuLimit=<float> diskLimit=<float> jobStart=<int> memLimit=<int> runLimit=<float>
:param job: job object.
:return: job metrics (string).
"""
log = get_logger(job.jobid)
job_metrics = ""
# report core count (will also set corecount in job object)
corecount = get_core_count(job)
if corecount is not None and corecount != "NULL" and corecount != 'null':
job_metrics += get_job_metrics_entry("coreCount", corecount)
# report number of actual used cores
if job.actualcorecount:
job_metrics += get_job_metrics_entry("actualCoreCount",
job.actualcorecount)
# report number of events
if job.nevents > 0:
job_metrics += get_job_metrics_entry("nEvents", job.nevents)
if job.neventsw > 0:
job_metrics += get_job_metrics_entry("nEventsW", job.neventsw)
# add metadata from job report
if job.metadata:
db_time, db_data = get_db_info(job.metadata)
if job.dbtime and job.dbtime != "":
job_metrics += get_job_metrics_entry("dbTime", job.dbtime)
if job.dbdata and job.dbdata != "":
job_metrics += get_job_metrics_entry("dbData", job.dbdata)
# event service
# if job.external_stageout_time:
# job_metrics += get_job_metrics_entry("ExStageoutTime", job.external_stageout_time)
# eventservice zip file
# if job.output_zip_name and job.output_zip_bucket_id:
# job_metrics += get_job_metrics_entry("outputZipName", os.path.basename(job.output_zip_name))
# job_metrics += get_job_metrics_entry("outputZipBucketID", job.output_zip_bucket_id)
# report on which OS bucket the log was written to, if any
# if job.log_bucket_id != -1:
# job_metrics += get_job_metrics_entry("logBucketID", job.log_bucket_id)
# yoda
# if job.yoda_job_metrics:
# for key in job.yoda_job_metrics:
# if key == 'startTime' or key == 'endTime':
# value = strftime("%Y-%m-%d %H:%M:%S", gmtime(job.yoda_mob_metrics[key]))
# job_metrics += get_job_metrics_entry(key, value)
# elif key.startswith("min") or key.startswith("max"):
# pass
# else:
# job_metrics += get_job_metrics_entry(key, job.yoda_job_metrics[key])
# get the max disk space used by the payload (at the end of a job)
if job.state == "finished" or job.state == "failed" or job.state == "holding":
max_space = job.get_max_workdir_size()
if max_space > 0L:
job_metrics += get_job_metrics_entry("workDirSize", max_space)
else:
log.info("will not add max space = %d B to job metrics" %
(max_space))
# get analytics data
path = os.path.join(job.workdir, get_memory_monitor_output_filename())
if os.path.exists(path):
client = analytics.Analytics()
# do not include tails on final update
tails = False if (job.state == "finished" or job.state == "failed"
or job.state == "holding") else True
slope = client.get_fitted_data(path, tails=tails)
if slope != "":
job_metrics += get_job_metrics_entry("leak", slope)
# done with job metrics, now verify the string
# correct for potential initial and trailing space
job_metrics = job_metrics.lstrip().rstrip()
if job_metrics != "":
log.debug('job metrics=\"%s\"' % (job_metrics))
else:
log.debug("no job metrics (all values are zero)")
# is job_metrics within allowed size?
if len(job_metrics) > 500:
log.warning("job_metrics out of size (%d)" % (len(job_metrics)))
# try to reduce the field size and remove the last entry which might be cut
job_metrics = job_metrics[:500]
job_metrics = " ".join(job_metrics.split(" ")[:-1])
log.warning("job_metrics has been reduced to: %s" % (job_metrics))
return job_metrics
def setUp(self):
self.client = analytics.Analytics()
def get_job_metrics_string(job):
"""
Get the job metrics string.
:param job: job object.
:return: job metrics (string).
"""
job_metrics = ""
# report core count (will also set corecount in job object)
corecount = get_core_count(job)
logger.debug('job definition core count: %d' % corecount)
#if corecount is not None and corecount != "NULL" and corecount != 'null':
# job_metrics += get_job_metrics_entry("coreCount", corecount)
# report number of actual used cores and add it to the list of measured core counts
if job.actualcorecount:
job_metrics += get_job_metrics_entry("actualCoreCount",
job.actualcorecount)
# report number of events
if job.nevents > 0:
job_metrics += get_job_metrics_entry("nEvents", job.nevents)
if job.neventsw > 0:
job_metrics += get_job_metrics_entry("nEventsW", job.neventsw)
# add metadata from job report
if job.metadata:
job.dbtime, job.dbdata = get_db_info(job.metadata)
if job.dbtime and job.dbtime != "":
job_metrics += get_job_metrics_entry("dbTime", job.dbtime)
if job.dbdata and job.dbdata != "":
job_metrics += get_job_metrics_entry("dbData", job.dbdata)
# get the max disk space used by the payload (at the end of a job)
if job.state == "finished" or job.state == "failed" or job.state == "holding":
max_space = job.get_max_workdir_size()
try:
zero = long(0) # Python 2 # noqa: F821
except Exception:
zero = 0 # Python 3
if max_space > zero:
job_metrics += get_job_metrics_entry("workDirSize", max_space)
else:
logger.info("will not add max space = %d B to job metrics" %
max_space)
# get analytics data
path = os.path.join(job.workdir, get_memory_monitor_output_filename())
if os.path.exists(path):
client = analytics.Analytics()
# do not include tails on final update
tails = False if (job.state == "finished" or job.state == "failed"
or job.state == "holding") else True
data = client.get_fitted_data(path, tails=tails)
slope = data.get("slope", "")
chi2 = data.get("chi2", "")
if slope != "":
job_metrics += get_job_metrics_entry("leak", slope)
if chi2 != "":
job_metrics += get_job_metrics_entry("chi2", chi2)
return job_metrics