class Summarizer(object):
- def __init__(self, logdata, label=None, skip_child_jobs=False):
+ def __init__(self, logdata, label=None, skip_child_jobs=False, uuid=None, **kwargs):
self._logdata = logdata
+ self.uuid = uuid
self.label = label
self.starttime = None
self.finishtime = None
def run(self):
logger.debug("%s: parsing logdata %s", self.label, self._logdata)
- for line in self._logdata:
- m = re.search(r'^\S+ \S+ \d+ (?P<seq>\d+) job_task (?P<task_uuid>\S+)$', line)
- if m:
- seq = int(m.group('seq'))
- uuid = m.group('task_uuid')
- self.seq_to_uuid[seq] = uuid
- logger.debug('%s: seq %d is task %s', self.label, seq, uuid)
- continue
+ with self._logdata as logdata:
+ self._run(logdata)
- m = re.search(r'^\S+ \S+ \d+ (?P<seq>\d+) (success in|failure \(#., permanent\) after) (?P<elapsed>\d+) seconds', line)
- if m:
- task_id = self.seq_to_uuid[int(m.group('seq'))]
- elapsed = int(m.group('elapsed'))
- self.task_stats[task_id]['time'] = {'elapsed': elapsed}
- if elapsed > self.stats_max['time']['elapsed']:
- self.stats_max['time']['elapsed'] = elapsed
- continue
+ def _run(self, logdata):
+ self.detected_crunch1 = False
+ for line in logdata:
+ if not self.detected_crunch1 and '-8i9sb-' in line:
+ self.detected_crunch1 = True
- m = re.search(r'^\S+ \S+ \d+ (?P<seq>\d+) stderr Queued job (?P<uuid>\S+)$', line)
- if m:
- uuid = m.group('uuid')
- if self._skip_child_jobs:
- logger.warning('%s: omitting stats from child job %s'
- ' because --skip-child-jobs flag is on',
- self.label, uuid)
+ if self.detected_crunch1:
+ m = re.search(r'^\S+ \S+ \d+ (?P<seq>\d+) job_task (?P<task_uuid>\S+)$', line)
+ if m:
+ seq = int(m.group('seq'))
+ uuid = m.group('task_uuid')
+ self.seq_to_uuid[seq] = uuid
+ logger.debug('%s: seq %d is task %s', self.label, seq, uuid)
continue
- logger.debug('%s: follow %s', self.label, uuid)
- child_summarizer = ProcessSummarizer(uuid)
- child_summarizer.stats_max = self.stats_max
- child_summarizer.task_stats = self.task_stats
- child_summarizer.tasks = self.tasks
- child_summarizer.starttime = self.starttime
- child_summarizer.run()
- logger.debug('%s: done %s', self.label, uuid)
- continue
- m = re.search(r'^(?P<timestamp>[^\s.]+)(\.\d+)? (?P<job_uuid>\S+) \d+ (?P<seq>\d+) stderr crunchstat: (?P<category>\S+) (?P<current>.*?)( -- interval (?P<interval>.*))?\n$', line)
- if m:
- # crunch1 job
- task_id = self.seq_to_uuid[int(m.group('seq'))]
- else:
- m = re.search(r'^(?P<timestamp>\S+) (?P<category>\S+) (?P<current>.*?)( -- interval (?P<interval>.*))?\n$', line)
+ m = re.search(r'^\S+ \S+ \d+ (?P<seq>\d+) (success in|failure \(#., permanent\) after) (?P<elapsed>\d+) seconds', line)
if m:
- # crunch2 container (seq/task don't apply)
- task_id = 'container'
- else:
- # not a crunchstat log
+ task_id = self.seq_to_uuid[int(m.group('seq'))]
+ elapsed = int(m.group('elapsed'))
+ self.task_stats[task_id]['time'] = {'elapsed': elapsed}
+ if elapsed > self.stats_max['time']['elapsed']:
+ self.stats_max['time']['elapsed'] = elapsed
continue
- task = self.tasks[task_id]
- try:
- if self.label is None:
- self.label = m.group('job_uuid')
- logger.debug('%s: using job uuid as label', self.label)
- if m.group('category').endswith(':'):
- # "stderr crunchstat: notice: ..."
+ m = re.search(r'^\S+ \S+ \d+ (?P<seq>\d+) stderr Queued job (?P<uuid>\S+)$', line)
+ if m:
+ uuid = m.group('uuid')
+ if self._skip_child_jobs:
+ logger.warning('%s: omitting stats from child job %s'
+ ' because --skip-child-jobs flag is on',
+ self.label, uuid)
+ continue
+ logger.debug('%s: follow %s', self.label, uuid)
+ child_summarizer = ProcessSummarizer(uuid)
+ child_summarizer.stats_max = self.stats_max
+ child_summarizer.task_stats = self.task_stats
+ child_summarizer.tasks = self.tasks
+ child_summarizer.starttime = self.starttime
+ child_summarizer.run()
+ logger.debug('%s: done %s', self.label, uuid)
continue
- elif m.group('category') in ('error', 'caught'):
+
+ m = re.search(r'^(?P<timestamp>[^\s.]+)(\.\d+)? (?P<job_uuid>\S+) \d+ (?P<seq>\d+) stderr crunchstat: (?P<category>\S+) (?P<current>.*?)( -- interval (?P<interval>.*))?\n$', line)
+ if not m:
continue
- elif m.group('category') == 'read':
- # "stderr crunchstat: read /proc/1234/net/dev: ..."
- # (crunchstat formatting fixed, but old logs still say this)
+ else:
+ # crunch2
+ m = re.search(r'^(?P<timestamp>\S+) (?P<category>\S+) (?P<current>.*?)( -- interval (?P<interval>.*))?\n$', line)
+ if not m:
continue
- # Use the first and last crunchstat timestamps as
- # approximations of starttime and finishtime.
- timestamp = m.group('timestamp')
- if timestamp[10:11] == '_':
- timestamp = datetime.datetime.strptime(
- timestamp, '%Y-%m-%d_%H:%M:%S')
- elif timestamp[10:11] == 'T':
- timestamp = datetime.datetime.strptime(
- timestamp[:19], '%Y-%m-%dT%H:%M:%S')
- else:
- raise ValueError("Cannot parse timestamp {!r}".format(
- timestamp))
-
- if not task.starttime:
- task.starttime = timestamp
- logger.debug('%s: task %s starttime %s',
- self.label, task_id, timestamp)
- task.finishtime = timestamp
-
- if not self.starttime:
- self.starttime = timestamp
- self.finishtime = timestamp
-
- this_interval_s = None
- for group in ['current', 'interval']:
- if not m.group(group):
- continue
- category = m.group('category')
- words = m.group(group).split(' ')
- stats = {}
+ if self.label is None:
+ try:
+ self.label = m.group('job_uuid')
+ except IndexError:
+ self.label = 'container'
+ if m.group('category').endswith(':'):
+ # "stderr crunchstat: notice: ..."
+ continue
+ elif m.group('category') in ('error', 'caught'):
+ continue
+ elif m.group('category') in ('read', 'open', 'cgroup', 'CID', 'Running'):
+ # "stderr crunchstat: read /proc/1234/net/dev: ..."
+ # (old logs are less careful with unprefixed error messages)
+ continue
+
+ if self.detected_crunch1:
+ task_id = self.seq_to_uuid[int(m.group('seq'))]
+ else:
+ task_id = 'container'
+ task = self.tasks[task_id]
+
+ # Use the first and last crunchstat timestamps as
+ # approximations of starttime and finishtime.
+ timestamp = m.group('timestamp')
+ if timestamp[10:11] == '_':
+ timestamp = datetime.datetime.strptime(
+ timestamp, '%Y-%m-%d_%H:%M:%S')
+ elif timestamp[10:11] == 'T':
+ timestamp = datetime.datetime.strptime(
+ timestamp[:19], '%Y-%m-%dT%H:%M:%S')
+ else:
+ raise ValueError("Cannot parse timestamp {!r}".format(
+ timestamp))
+
+ if not task.starttime:
+ task.starttime = timestamp
+ logger.debug('%s: task %s starttime %s',
+ self.label, task_id, timestamp)
+ task.finishtime = timestamp
+
+ if not self.starttime:
+ self.starttime = timestamp
+ self.finishtime = timestamp
+
+ this_interval_s = None
+ for group in ['current', 'interval']:
+ if not m.group(group):
+ continue
+ category = m.group('category')
+ words = m.group(group).split(' ')
+ stats = {}
+ try:
for val, stat in zip(words[::2], words[1::2]):
- try:
- if '.' in val:
- stats[stat] = float(val)
- else:
- stats[stat] = int(val)
- except ValueError as e:
- raise ValueError(
- 'Error parsing {} stat: {!r}'.format(
- stat, e))
- if 'user' in stats or 'sys' in stats:
- stats['user+sys'] = stats.get('user', 0) + stats.get('sys', 0)
- if 'tx' in stats or 'rx' in stats:
- stats['tx+rx'] = stats.get('tx', 0) + stats.get('rx', 0)
- for stat, val in stats.iteritems():
- if group == 'interval':
- if stat == 'seconds':
- this_interval_s = val
- continue
- elif not (this_interval_s > 0):
- logger.error(
- "BUG? interval stat given with duration {!r}".
- format(this_interval_s))
- continue
- else:
- stat = stat + '__rate'
- val = val / this_interval_s
- if stat in ['user+sys__rate', 'tx+rx__rate']:
- task.series[category, stat].append(
- (timestamp - self.starttime, val))
+ if '.' in val:
+ stats[stat] = float(val)
else:
- if stat in ['rss']:
+ stats[stat] = int(val)
+ except ValueError as e:
+ logger.warning(
+ 'Error parsing value %r (stat %r, category %r): %r',
+ val, stat, category, e)
+ logger.warning('%s', line)
+ continue
+ if 'user' in stats or 'sys' in stats:
+ stats['user+sys'] = stats.get('user', 0) + stats.get('sys', 0)
+ if 'tx' in stats or 'rx' in stats:
+ stats['tx+rx'] = stats.get('tx', 0) + stats.get('rx', 0)
+ for stat, val in stats.iteritems():
+ if group == 'interval':
+ if stat == 'seconds':
+ this_interval_s = val
+ continue
+ elif not (this_interval_s > 0):
+ logger.error(
+ "BUG? interval stat given with duration {!r}".
+ format(this_interval_s))
+ continue
+ else:
+ stat = stat + '__rate'
+ val = val / this_interval_s
+ if stat in ['user+sys__rate', 'tx+rx__rate']:
task.series[category, stat].append(
(timestamp - self.starttime, val))
- self.task_stats[task_id][category][stat] = val
- if val > self.stats_max[category][stat]:
- self.stats_max[category][stat] = val
- except Exception as e:
- logger.info('Skipping malformed line: {}Error was: {}\n'.format(line, e))
+ else:
+ if stat in ['rss']:
+ task.series[category, stat].append(
+ (timestamp - self.starttime, val))
+ self.task_stats[task_id][category][stat] = val
+ if val > self.stats_max[category][stat]:
+ self.stats_max[category][stat] = val
logger.debug('%s: done parsing', self.label)
self.job_tot = collections.defaultdict(
def long_label(self):
label = self.label
+ if hasattr(self, 'process') and self.process['uuid'] not in label:
+ label = '{} ({})'.format(label, self.process['uuid'])
if self.finishtime:
label += ' -- elapsed time '
s = (self.finishtime - self.starttime).total_seconds()
def _recommend_cpu(self):
"""Recommend asking for 4 cores if max CPU usage was 333%"""
+ constraint_key = self._map_runtime_constraint('vcpus')
cpu_max_rate = self.stats_max['cpu']['user+sys__rate']
if cpu_max_rate == float('-Inf'):
logger.warning('%s: no CPU usage data', self.label)
return
used_cores = max(1, int(math.ceil(cpu_max_rate)))
- asked_cores = self.existing_constraints.get('min_cores_per_node')
+ asked_cores = self.existing_constraints.get(constraint_key)
if asked_cores is None or used_cores < asked_cores:
yield (
'#!! {} max CPU usage was {}% -- '
- 'try runtime_constraints "min_cores_per_node":{}'
+ 'try runtime_constraints "{}":{}'
).format(
self.label,
int(math.ceil(cpu_max_rate*100)),
+ constraint_key,
int(used_cores))
def _recommend_ram(self):
the memory we want -- even if that happens to be 8192 MiB.
"""
+ constraint_key = self._map_runtime_constraint('ram')
used_bytes = self.stats_max['mem']['rss']
if used_bytes == float('-Inf'):
logger.warning('%s: no memory usage data', self.label)
return
used_mib = math.ceil(float(used_bytes) / 1048576)
- asked_mib = self.existing_constraints.get('min_ram_mb_per_node')
+ asked_mib = self.existing_constraints.get(constraint_key)
nearlygibs = lambda mebibytes: mebibytes/AVAILABLE_RAM_RATIO/1024
if asked_mib is None or (
math.ceil(nearlygibs(used_mib)) < nearlygibs(asked_mib)):
yield (
'#!! {} max RSS was {} MiB -- '
- 'try runtime_constraints "min_ram_mb_per_node":{}'
+ 'try runtime_constraints "{}":{}'
).format(
self.label,
int(used_mib),
- int(math.ceil(nearlygibs(used_mib))*AVAILABLE_RAM_RATIO*1024))
+ constraint_key,
+ int(math.ceil(nearlygibs(used_mib))*AVAILABLE_RAM_RATIO*1024*(2**20)/self._runtime_constraint_mem_unit()))
def _recommend_keep_cache(self):
"""Recommend increasing keep cache if utilization < 80%"""
+ constraint_key = self._map_runtime_constraint('keep_cache_ram')
if self.job_tot['net:keep0']['rx'] == 0:
return
utilization = (float(self.job_tot['blkio:0:0']['read']) /
float(self.job_tot['net:keep0']['rx']))
- asked_mib = self.existing_constraints.get('keep_cache_mb_per_task', 256)
+ asked_mib = self.existing_constraints.get(constraint_key, 256)
if utilization < 0.8:
yield (
'#!! {} Keep cache utilization was {:.2f}% -- '
- 'try runtime_constraints "keep_cache_mb_per_task":{} (or more)'
+ 'try runtime_constraints "{}":{} (or more)'
).format(
self.label,
utilization * 100.0,
- asked_mib*2)
+ constraint_key,
+ asked_mib*2*(2**20)/self._runtime_constraint_mem_unit())
def _format(self, val):
else:
return '{}'.format(val)
+ def _runtime_constraint_mem_unit(self):
+ if hasattr(self, 'runtime_constraint_mem_unit'):
+ return self.runtime_constraint_mem_unit
+ elif self.detected_crunch1:
+ return JobSummarizer.runtime_constraint_mem_unit
+ else:
+ return ContainerSummarizer.runtime_constraint_mem_unit
+
+ def _map_runtime_constraint(self, key):
+ if hasattr(self, 'map_runtime_constraint'):
+ return self.map_runtime_constraint[key]
+ elif self.detected_crunch1:
+ return JobSummarizer.map_runtime_constraint[key]
+ else:
+ return key
+
class CollectionSummarizer(Summarizer):
def __init__(self, collection_id, **kwargs):
self.label = collection_id
-def NewSummarizer(process, **kwargs):
+def NewSummarizer(process_or_uuid, **kwargs):
"""Construct with the appropriate subclass for this uuid/object."""
- if not isinstance(process, dict):
- uuid = process
+ if isinstance(process_or_uuid, dict):
+ process = process_or_uuid
+ uuid = process['uuid']
+ else:
+ uuid = process_or_uuid
process = None
arv = arvados.api('v1', model=OrderedJsonModel())
- if re.search('-dz642-', uuid):
+ if '-dz642-' in uuid:
if process is None:
process = arv.containers().get(uuid=uuid).execute()
- return ContainerSummarizer(process, **kwargs)
- elif re.search('-xvhdp-', uuid):
+ klass = ContainerTreeSummarizer
+ elif '-xvhdp-' in uuid:
if process is None:
- ctrReq = arv.container_requests().get(uuid=uuid).execute()
- ctrUUID = ctrReq['container_uuid']
- process = arv.containers().get(uuid=ctrUUID).execute()
- return ContainerSummarizer(process, **kwargs)
- elif re.search('-8i9sb-', uuid):
+ process = arv.container_requests().get(uuid=uuid).execute()
+ klass = ContainerTreeSummarizer
+ elif '-8i9sb-' in uuid:
if process is None:
process = arv.jobs().get(uuid=uuid).execute()
- return JobSummarizer(process, **kwargs)
- elif re.search('-d1hrv-', uuid):
+ klass = JobTreeSummarizer
+ elif '-d1hrv-' in uuid:
if process is None:
process = arv.pipeline_instances().get(uuid=uuid).execute()
- return PipelineSummarizer(process, **kwargs)
+ klass = PipelineSummarizer
+ elif '-4zz18-' in uuid:
+ return CollectionSummarizer(collection_id=uuid)
else:
raise ArgumentError("Unrecognized uuid %s", uuid)
+ return klass(process, uuid=uuid, **kwargs)
class ProcessSummarizer(Summarizer):
"""Process is a job, pipeline, container, or container request."""
- def __init__(self, process, **kwargs):
+ def __init__(self, process, label=None, **kwargs):
rdr = None
self.process = process
+ if label is None:
+ label = self.process.get('name', self.process['uuid'])
if self.process.get('log'):
try:
rdr = crunchstat_summary.reader.CollectionReader(self.process['log'])
except arvados.errors.NotFoundError as e:
logger.warning("Trying event logs after failing to read "
"log collection %s: %s", self.process['log'], e)
- else:
- label = self.process['uuid']
if rdr is None:
rdr = crunchstat_summary.reader.LiveLogReader(self.process['uuid'])
- label = self.process['uuid'] + ' (partial)'
- super(ProcessSummarizer, self).__init__(rdr, **kwargs)
- self.label = label
+ label = label + ' (partial)'
+ super(ProcessSummarizer, self).__init__(rdr, label=label, **kwargs)
self.existing_constraints = self.process.get('runtime_constraints', {})
class JobSummarizer(ProcessSummarizer):
- pass
+ runtime_constraint_mem_unit = 1048576
+ map_runtime_constraint = {
+ 'keep_cache_ram': 'keep_cache_mb_per_task',
+ 'ram': 'min_ram_mb_per_node',
+ 'vcpus': 'min_cores_per_node',
+ }
class ContainerSummarizer(ProcessSummarizer):
- pass
+ runtime_constraint_mem_unit = 1
-class PipelineSummarizer(object):
- def __init__(self, instance, **kwargs):
- self.summarizers = collections.OrderedDict()
- for cname, component in instance['components'].iteritems():
- if 'job' not in component:
- logger.warning(
- "%s: skipping component with no job assigned", cname)
- else:
- logger.info(
- "%s: job %s", cname, component['job']['uuid'])
- summarizer = JobSummarizer(component['job'], **kwargs)
- summarizer.label = '{} {}'.format(
- cname, component['job']['uuid'])
- self.summarizers[cname] = summarizer
- self.label = instance['uuid']
+class MultiSummarizer(object):
+ def __init__(self, children={}, label=None, threads=1, **kwargs):
+ self.throttle = threading.Semaphore(threads)
+ self.children = children
+ self.label = label
+
+ def run_and_release(self, target, *args, **kwargs):
+ try:
+ return target(*args, **kwargs)
+ finally:
+ self.throttle.release()
def run(self):
threads = []
- for summarizer in self.summarizers.itervalues():
- t = threading.Thread(target=summarizer.run)
+ for child in self.children.itervalues():
+ self.throttle.acquire()
+ t = threading.Thread(target=self.run_and_release, args=(child.run, ))
t.daemon = True
t.start()
threads.append(t)
def text_report(self):
txt = ''
- for cname, summarizer in self.summarizers.iteritems():
- txt += '### Summary for {} ({})\n'.format(
- cname, summarizer.process['uuid'])
- txt += summarizer.text_report()
+ d = self._descendants()
+ for child in d.itervalues():
+ if len(d) > 1:
+ txt += '### Summary for {} ({})\n'.format(
+ child.label, child.process['uuid'])
+ txt += child.text_report()
txt += '\n'
return txt
+ def _descendants(self):
+ """Dict of self and all descendants.
+
+ Nodes with nothing of their own to report (like
+ MultiSummarizers) are omitted.
+ """
+ d = collections.OrderedDict()
+ for key, child in self.children.iteritems():
+ if isinstance(child, Summarizer):
+ d[key] = child
+ if isinstance(child, MultiSummarizer):
+ d.update(child._descendants())
+ return d
+
def html_report(self):
- return WEBCHART_CLASS(self.label, self.summarizers.itervalues()).html()
+ return WEBCHART_CLASS(self.label, self._descendants().itervalues()).html()
+
+
+class JobTreeSummarizer(MultiSummarizer):
+ """Summarizes a job and all children listed in its components field."""
+ def __init__(self, job, label=None, **kwargs):
+ arv = arvados.api('v1', model=OrderedJsonModel())
+ label = label or job.get('name', job['uuid'])
+ children = collections.OrderedDict()
+ children[job['uuid']] = JobSummarizer(job, label=label, **kwargs)
+ if job.get('components', None):
+ preloaded = {}
+ for j in arv.jobs().index(
+ limit=len(job['components']),
+ filters=[['uuid','in',job['components'].values()]]).execute()['items']:
+ preloaded[j['uuid']] = j
+ for cname in sorted(job['components'].keys()):
+ child_uuid = job['components'][cname]
+ j = (preloaded.get(child_uuid) or
+ arv.jobs().get(uuid=child_uuid).execute())
+ children[child_uuid] = JobTreeSummarizer(job=j, label=cname, **kwargs)
+
+ super(JobTreeSummarizer, self).__init__(
+ children=children,
+ label=label,
+ **kwargs)
+
+
+class PipelineSummarizer(MultiSummarizer):
+ def __init__(self, instance, **kwargs):
+ children = collections.OrderedDict()
+ for cname, component in instance['components'].iteritems():
+ if 'job' not in component:
+ logger.warning(
+ "%s: skipping component with no job assigned", cname)
+ else:
+ logger.info(
+ "%s: job %s", cname, component['job']['uuid'])
+ summarizer = JobTreeSummarizer(component['job'], label=cname, **kwargs)
+ summarizer.label = '{} {}'.format(
+ cname, component['job']['uuid'])
+ children[cname] = summarizer
+ super(PipelineSummarizer, self).__init__(
+ children=children,
+ label=instance['uuid'],
+ **kwargs)
+
+
+class ContainerTreeSummarizer(MultiSummarizer):
+ def __init__(self, root, skip_child_jobs=False, **kwargs):
+ arv = arvados.api('v1', model=OrderedJsonModel())
+
+ label = kwargs.pop('label', None) or root.get('name') or root['uuid']
+ root['name'] = label
+
+ children = collections.OrderedDict()
+ todo = collections.deque((root, ))
+ while len(todo) > 0:
+ current = todo.popleft()
+ label = current['name']
+ sort_key = current['created_at']
+ if current['uuid'].find('-xvhdp-') > 0:
+ current = arv.containers().get(uuid=current['container_uuid']).execute()
+
+ summer = ContainerSummarizer(current, label=label, **kwargs)
+ summer.sort_key = sort_key
+ children[current['uuid']] = summer
+
+ page_filters = []
+ while True:
+ child_crs = arv.container_requests().index(
+ order=['uuid asc'],
+ filters=page_filters+[
+ ['requesting_container_uuid', '=', current['uuid']]],
+ ).execute()
+ if not child_crs['items']:
+ break
+ elif skip_child_jobs:
+ logger.warning('%s: omitting stats from %d child containers'
+ ' because --skip-child-jobs flag is on',
+ label, child_crs['items_available'])
+ break
+ page_filters = [['uuid', '>', child_crs['items'][-1]['uuid']]]
+ for cr in child_crs['items']:
+ if cr['container_uuid']:
+ logger.debug('%s: container req %s', current['uuid'], cr['uuid'])
+ cr['name'] = cr.get('name') or cr['uuid']
+ todo.append(cr)
+ sorted_children = collections.OrderedDict()
+ for uuid in sorted(children.keys(), key=lambda uuid: children[uuid].sort_key):
+ sorted_children[uuid] = children[uuid]
+ super(ContainerTreeSummarizer, self).__init__(
+ children=sorted_children,
+ label=root['name'],
+ **kwargs)