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150 lines
5.7 KiB
150 lines
5.7 KiB
# -*- coding: utf-8 -*-
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# Copyright 2011 The Chromium OS Authors. All rights reserved.
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# Use of this source code is governed by a BSD-style license that can be
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# found in the LICENSE file.
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"""The class to show the banner."""
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from __future__ import division
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from __future__ import print_function
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import collections
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import datetime
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import time
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class ExperimentStatus(object):
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"""The status class."""
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def __init__(self, experiment):
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self.experiment = experiment
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self.num_total = len(self.experiment.benchmark_runs)
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self.completed = 0
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self.new_job_start_time = time.time()
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self.log_level = experiment.log_level
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def _GetProgressBar(self, num_complete, num_total):
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ret = 'Done: %s%%' % int(100.0 * num_complete / num_total)
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bar_length = 50
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done_char = '>'
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undone_char = ' '
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num_complete_chars = bar_length * num_complete // num_total
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num_undone_chars = bar_length - num_complete_chars
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ret += ' [%s%s]' % (num_complete_chars * done_char,
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num_undone_chars * undone_char)
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return ret
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def GetProgressString(self):
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"""Get the elapsed_time, ETA."""
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current_time = time.time()
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if self.experiment.start_time:
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elapsed_time = current_time - self.experiment.start_time
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else:
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elapsed_time = 0
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try:
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if self.completed != self.experiment.num_complete:
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self.completed = self.experiment.num_complete
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self.new_job_start_time = current_time
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time_completed_jobs = (
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elapsed_time - (current_time - self.new_job_start_time))
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# eta is calculated as:
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# ETA = (num_jobs_not_yet_started * estimated_time_per_job)
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# + time_left_for_current_job
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#
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# where
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# num_jobs_not_yet_started = (num_total - num_complete - 1)
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#
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# estimated_time_per_job = time_completed_jobs / num_run_complete
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#
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# time_left_for_current_job = estimated_time_per_job -
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# time_spent_so_far_on_current_job
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#
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# The biggest problem with this calculation is its assumption that
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# all jobs have roughly the same running time (blatantly false!).
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#
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# ETA can come out negative if the time spent on the current job is
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# greater than the estimated time per job (e.g. you're running the
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# first long job, after a series of short jobs). For now, if that
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# happens, we set the ETA to "Unknown."
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#
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eta_seconds = (
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float(self.num_total - self.experiment.num_complete - 1) *
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time_completed_jobs / self.experiment.num_run_complete +
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(time_completed_jobs / self.experiment.num_run_complete -
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(current_time - self.new_job_start_time)))
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eta_seconds = int(eta_seconds)
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if eta_seconds > 0:
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eta = datetime.timedelta(seconds=eta_seconds)
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else:
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eta = 'Unknown'
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except ZeroDivisionError:
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eta = 'Unknown'
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strings = []
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strings.append('Current time: %s Elapsed: %s ETA: %s' %
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(datetime.datetime.now(),
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datetime.timedelta(seconds=int(elapsed_time)), eta))
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strings.append(
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self._GetProgressBar(self.experiment.num_complete, self.num_total))
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return '\n'.join(strings)
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def GetStatusString(self):
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"""Get the status string of all the benchmark_runs."""
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status_bins = collections.defaultdict(list)
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for benchmark_run in self.experiment.benchmark_runs:
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status_bins[benchmark_run.timeline.GetLastEvent()].append(benchmark_run)
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status_strings = []
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for key, val in status_bins.items():
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if key == 'RUNNING':
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get_description = self._GetNamesAndIterations
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else:
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get_description = self._GetCompactNamesAndIterations
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status_strings.append('%s: %s' % (key, get_description(val)))
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thread_status = ''
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thread_status_format = 'Thread Status: \n{}\n'
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if (self.experiment.schedv2() is None and
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self.experiment.log_level == 'verbose'):
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# Add the machine manager status.
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thread_status = thread_status_format.format(
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self.experiment.machine_manager.AsString())
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elif self.experiment.schedv2():
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# In schedv2 mode, we always print out thread status.
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thread_status = thread_status_format.format(
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self.experiment.schedv2().threads_status_as_string())
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result = '{}{}'.format(thread_status, '\n'.join(status_strings))
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return result
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def _GetNamesAndIterations(self, benchmark_runs):
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strings = []
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t = time.time()
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for benchmark_run in benchmark_runs:
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t_last = benchmark_run.timeline.GetLastEventTime()
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elapsed = str(datetime.timedelta(seconds=int(t - t_last)))
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strings.append("'{0}' {1}".format(benchmark_run.name, elapsed))
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return ' %s (%s)' % (len(strings), ', '.join(strings))
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def _GetCompactNamesAndIterations(self, benchmark_runs):
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grouped_benchmarks = collections.defaultdict(list)
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for benchmark_run in benchmark_runs:
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grouped_benchmarks[benchmark_run.label.name].append(benchmark_run)
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output_segs = []
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for label_name, label_runs in grouped_benchmarks.items():
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strings = []
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benchmark_iterations = collections.defaultdict(list)
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for benchmark_run in label_runs:
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assert benchmark_run.label.name == label_name
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benchmark_name = benchmark_run.benchmark.name
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benchmark_iterations[benchmark_name].append(benchmark_run.iteration)
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for key, val in benchmark_iterations.items():
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val.sort()
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iterations = ','.join(str(v) for v in val)
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strings.append('{} [{}]'.format(key, iterations))
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output_segs.append(' ' + label_name + ': ' + ', '.join(strings) + '\n')
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return ' %s \n%s' % (len(benchmark_runs), ''.join(output_segs))
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