def stats_collection_end(self):
if self.monitor is not None:
try:
self.monitor.stop()
except:
pass
finally:
self.monitor = None
current_run_time = time.time() - self.start_time
# discard empty cicles from stats
if current_run_time > 0.00:
self.mean_time = ((self.mean_time * self.iterations) +
current_run_time) / (self.iterations + 1)
if self.low_time == -1 or current_run_time < self.low_time:
self.low_time = current_run_time
if self.high_time == -1 or current_run_time > self.high_time:
self.high_time = current_run_time
log.time_debug(
"Ended job [%s] with an execution time of %.2f seconds" %
(self.name, current_run_time))
self.iterations += 1
TimingStatsHandler.log_measured_timing("JOB", self.name,
self.start_time,
current_run_time)
def stats_collection_end(self):
if self.monitor is not None:
try:
self.monitor.stop()
except:
pass
finally:
self.monitor = None
current_run_time = time.time() - self.start_time
# discard empty cicles from stats
if current_run_time > 0.00:
self.mean_time = ((self.mean_time * self.iterations) + current_run_time) / (self.iterations + 1)
if self.low_time == -1 or current_run_time < self.low_time:
self.low_time = current_run_time
if self.high_time == -1 or current_run_time > self.high_time:
self.high_time = current_run_time
log.time_debug("Ended job [%s] with an execution time of %.2f seconds" % (self.name, current_run_time))
self.iterations += 1
TimingStatsHandler.log_measured_timing("JOB", self.name, self.start_time, current_run_time)
def stats_collection_start(self):
self.monitor = ResourceMonitor(("[Job %s]" % self.name), JOB_MONITOR_TIME)
self.start_time = time.time()
if self.mean_time != -1:
log.time_debug("Starting job [%s] expecting an execution time of %.2f [low: %.2f, high: %.2f]" %
(self.name, self.mean_time, self.low_time, self.high_time))
else:
log.time_debug("Starting job [%s]" % self.name)
def stats_collection_start(self):
self.monitor = JobMonitor(self, self.monitor_time)
self.start_time = time.time()
if self.mean_time != -1:
log.time_debug("Starting job [%s] expecting an execution time of %.2f [low: %.2f, high: %.2f]" %
(self.name, self.mean_time, self.low_time, self.high_time))
else:
log.time_debug("Starting job [%s]" % self.name)
def stats_collection_start(self):
self.monitor = JobMonitor(self, self.monitor_time)
self.start_time = time.time()
if self.mean_time != -1:
log.time_debug(
"Starting job [%s] expecting an execution time of %.2f [low: %.2f, high: %.2f]"
% (self.name, self.mean_time, self.low_time, self.high_time))
else:
log.time_debug("Starting job [%s]" % self.name)
def stats_collection_start(self):
self.monitor = ResourceMonitor(("[Job %s]" % self.name),
JOB_MONITOR_TIME)
self.start_time = time.time()
if self.mean_time != -1:
log.time_debug(
"Starting job [%s] expecting an execution time of %.2f [low: %.2f, high: %.2f]"
% (self.name, self.mean_time, self.low_time, self.high_time))
else:
log.time_debug("Starting job [%s]" % self.name)
def stats_collection_start(self):
if self.mean_time != -1:
log.time_debug("Starting job %s expecting an execution time of %.4f [iterations: %d low: %.4f, high: %.4f]" %
(self.name, self.mean_time, self.job_runs, self.low_time, self.high_time))
else:
log.time_debug("Starting job %s" % self.name)
self.monitor_runs = 0
self.start_time = time.time()
self.job_runs += 1
self.monitor.start(self.monitor_time, False)
def stats_collection_end(self):
if self.monitor.running:
self.monitor.stop()
current_run_time = time.time() - self.start_time
# discard empty cicles from stats
if current_run_time > 0.000000:
self.mean_time = ((self.mean_time * (self.job_runs - 1)) + current_run_time) / self.job_runs
if self.low_time == -1 or current_run_time < self.low_time:
self.low_time = current_run_time
if self.high_time == -1 or current_run_time > self.high_time:
self.high_time = current_run_time
log.time_debug("Job %s ended with an execution time of %.4f seconds" % (self.name, current_run_time))
TimingStatsHandler.log_measured_timing("JOB", self.name, self.start_time, current_run_time)