import math
import re
import sys
-import threading
import _strptime
+import arvados.util
+
+from concurrent.futures import ThreadPoolExecutor
from crunchstat_summary import logger
# Recommend memory constraints that are this multiple of an integral
# number of GiB. (Actual nodes tend to be sold in sizes like 8 GiB
# that have amounts like 7.5 GiB according to the kernel.)
-AVAILABLE_RAM_RATIO = 0.95
+AVAILABLE_RAM_RATIO = 0.90
MB=2**20
# Workaround datetime.datetime.strptime() thread-safety bug by calling
# are already suitable. If applicable, the subclass
# constructor will overwrite this with something useful.
self.existing_constraints = {}
+ self.node_info = {}
+ self.cost = 0
+ self.arv_config = {}
- logger.debug("%s: logdata %s", self.label, logdata)
+ logger.info("%s: logdata %s", self.label, logdata)
def run(self):
logger.debug("%s: parsing logdata %s", self.label, self._logdata)
self._run(logdata)
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
-
- 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
-
- 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
+ if not self.node_info:
+ self.node_info = logdata.node_info()
- m = re.search(r'^\S+ \S+ \d+ (?P<seq>\d+) stderr Queued job (?P<uuid>\S+)$', line)
- if m:
- uuid = m.group('uuid')
- if self._skip_child_jobs:
- logger.warning('%s: omitting stats from child job %s'
- ' because --skip-child-jobs flag is on',
- self.label, uuid)
- continue
- logger.debug('%s: follow %s', self.label, uuid)
- child_summarizer = NewSummarizer(uuid)
- child_summarizer.stats_max = self.stats_max
- child_summarizer.task_stats = self.task_stats
- child_summarizer.tasks = self.tasks
- child_summarizer.starttime = self.starttime
- child_summarizer.run()
- logger.debug('%s: done %s', self.label, uuid)
- continue
-
- # 2017-12-02_17:15:08 e51c5-8i9sb-mfp68stkxnqdd6m 63676 0 stderr crunchstat: keepcalls 0 put 2576 get -- interval 10.0000 seconds 0 put 2576 get
- m = re.search(r'^(?P<timestamp>[^\s.]+)(\.\d+)? (?P<job_uuid>\S+) \d+ (?P<seq>\d+) stderr (?P<crunchstat>crunchstat: )(?P<category>\S+) (?P<current>.*?)( -- interval (?P<interval>.*))?\n$', line)
- if not m:
- continue
- else:
- # crunch2
- # 2017-12-01T16:56:24.723509200Z crunchstat: keepcalls 0 put 3 get -- interval 10.0000 seconds 0 put 3 get
- m = re.search(r'^(?P<timestamp>\S+) (?P<crunchstat>crunchstat: )?(?P<category>\S+) (?P<current>.*?)( -- interval (?P<interval>.*))?\n$', line)
- if not m:
- continue
+ for line in logdata:
+ # crunch2
+ # 2017-12-01T16:56:24.723509200Z crunchstat: keepcalls 0 put 3 get -- interval 10.0000 seconds 0 put 3 get
+ m = re.search(r'^(?P<timestamp>\S+) (?P<crunchstat>crunchstat: )?(?P<category>\S+) (?P<current>.*?)( -- interval (?P<interval>.*))?\n$', line)
+ if not m:
+ continue
if self.label is None:
try:
self.label = m.group('job_uuid')
except IndexError:
self.label = 'label #1'
- category = m.group('category')
- if category.endswith(':'):
- # "stderr crunchstat: notice: ..."
- continue
- elif category in ('error', 'caught'):
- continue
- elif 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_id = 'container'
task = self.tasks[task_id]
# Use the first and last crunchstat timestamps as
if self.finishtime is None or timestamp > self.finishtime:
self.finishtime = timestamp
- if (not self.detected_crunch1) and task.starttime is not None and task.finishtime is not None:
+ if task.starttime is not None and task.finishtime is not None:
elapsed = (task.finishtime - task.starttime).seconds
self.task_stats[task_id]['time'] = {'elapsed': elapsed}
if elapsed > self.stats_max['time']['elapsed']:
self.stats_max['time']['elapsed'] = elapsed
+ category = m.group('category')
+ if category.endswith(':'):
+ # "stderr crunchstat: notice: ..."
+ continue
+ elif category in ('error', 'caught'):
+ continue
+ elif category in ('read', 'open', 'cgroup', 'CID', 'Running'):
+ # "stderr crunchstat: read /proc/1234/net/dev: ..."
+ # (old logs are less careful with unprefixed error messages)
+ continue
+
this_interval_s = None
for group in ['current', 'interval']:
if not m.group(group):
self.job_tot[category][stat] += val
logger.debug('%s: done totals', self.label)
- missing_category = {
- 'cpu': 'CPU',
- 'mem': 'memory',
- 'net:': 'network I/O',
- 'statfs': 'storage space',
- }
- for task_stat in self.task_stats.values():
- for category in task_stat.keys():
- for checkcat in missing_category:
- if checkcat.endswith(':'):
- if category.startswith(checkcat):
- missing_category.pop(checkcat)
- break
- else:
- if category == checkcat:
- missing_category.pop(checkcat)
- break
- for catlabel in missing_category.values():
- logger.warning('%s: %s stats are missing -- possible cluster configuration issue',
- self.label, catlabel)
+ if self.stats_max['time'].get('elapsed', 0) > 20:
+ # needs to have executed for at least 20 seconds or we may
+ # not have collected any metrics and these warnings are duds.
+ missing_category = {
+ 'cpu': 'CPU',
+ 'mem': 'memory',
+ 'net:': 'network I/O',
+ 'statfs': 'storage space',
+ }
+ for task_stat in self.task_stats.values():
+ for category in task_stat.keys():
+ for checkcat in missing_category:
+ if checkcat.endswith(':'):
+ if category.startswith(checkcat):
+ missing_category.pop(checkcat)
+ break
+ else:
+ if category == checkcat:
+ missing_category.pop(checkcat)
+ break
+ for catlabel in missing_category.values():
+ logger.warning('%s: %s stats are missing -- possible cluster configuration issue',
+ self.label, catlabel)
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()
- if s > 86400:
- label += '{}d'.format(int(s/86400))
- if s > 3600:
- label += '{}h'.format(int(s/3600) % 24)
- if s > 60:
- label += '{}m'.format(int(s/60) % 60)
- label += '{}s'.format(int(s) % 60)
+ return label
+
+ def elapsed_time(self):
+ if not self.finishtime:
+ return ""
+ label = ""
+ s = (self.finishtime - self.starttime).total_seconds()
+ if s > 86400:
+ label += '{}d '.format(int(s/86400))
+ if s > 3600:
+ label += '{}h '.format(int(s/3600) % 24)
+ if s > 60:
+ label += '{}m '.format(int(s/60) % 60)
+ label += '{}s'.format(int(s) % 60)
return label
def text_report(self):
if not self.tasks:
return "(no report generated)\n"
return "\n".join(itertools.chain(
- self._text_report_gen(),
- self._recommend_gen())) + "\n"
+ self._text_report_table_gen(lambda x: "\t".join(x),
+ lambda x: "\t".join(x)),
+ self._text_report_agg_gen(lambda x: "# {}: {}{}".format(x[0], x[1], x[2])),
+ self._recommend_gen(lambda x: "#!! "+x))) + "\n"
def html_report(self):
- return WEBCHART_CLASS(self.label, [self]).html()
+ tophtml = """{}\n<table class='aggtable'><tbody>{}</tbody></table>\n""".format(
+ "\n".join(self._recommend_gen(lambda x: "<p>{}</p>".format(x))),
+ "\n".join(self._text_report_agg_gen(lambda x: "<tr><th>{}</th><td>{}{}</td></tr>".format(*x))))
+
+ bottomhtml = """<table class='metricstable'><tbody>{}</tbody></table>\n""".format(
+ "\n".join(self._text_report_table_gen(lambda x: "<tr><th>{}</th><th>{}</th><th>{}</th><th>{}</th><th>{}</th></tr>".format(*x),
+ lambda x: "<tr><td>{}</td><td>{}</td><td>{}</td><td>{}</td><td>{}</td></tr>".format(*x))))
+ label = self.long_label()
- def _text_report_gen(self):
- yield "\t".join(['category', 'metric', 'task_max', 'task_max_rate', 'job_total'])
+ return WEBCHART_CLASS(label, [self]).html(tophtml, bottomhtml)
+
+ def _text_report_table_gen(self, headerformat, rowformat):
+ yield headerformat(['category', 'metric', 'task_max', 'task_max_rate', 'job_total'])
for category, stat_max in sorted(self.stats_max.items()):
for stat, val in sorted(stat_max.items()):
if stat.endswith('__rate'):
max_rate = self._format(stat_max.get(stat+'__rate', '-'))
val = self._format(val)
tot = self._format(self.job_tot[category].get(stat, '-'))
- yield "\t".join([category, stat, str(val), max_rate, tot])
- for args in (
- ('Number of tasks: {}',
+ yield rowformat([category, stat, str(val), max_rate, tot])
+
+ def _text_report_agg_gen(self, aggformat):
+ by_single_task = ""
+ if len(self.tasks) > 1:
+ by_single_task = " by a single task"
+
+ metrics = [
+ ('Elapsed time',
+ self.elapsed_time(),
+ None,
+ ''),
+
+ ('Estimated cost',
+ '${:.3f}'.format(self.cost),
+ None,
+ '') if self.cost > 0 else None,
+
+ ('Assigned instance type',
+ self.node_info.get('ProviderType'),
+ None,
+ '') if self.node_info.get('ProviderType') else None,
+
+ ('Instance hourly price',
+ '${:.3f}'.format(self.node_info.get('Price')),
+ None,
+ '') if self.node_info.get('Price') else None,
+
+ ('Max CPU usage in a single interval',
+ self.stats_max['cpu']['user+sys__rate'],
+ lambda x: x * 100,
+ '%'),
+
+ ('Overall CPU usage',
+ float(self.job_tot['cpu']['user+sys']) /
+ self.job_tot['time']['elapsed']
+ if self.job_tot['time']['elapsed'] > 0 else 0,
+ lambda x: x * 100,
+ '%'),
+
+ ('Requested CPU cores',
+ self.existing_constraints.get(self._map_runtime_constraint('vcpus')),
+ None,
+ '') if self.existing_constraints.get(self._map_runtime_constraint('vcpus')) else None,
+
+ ('Instance VCPUs',
+ self.node_info.get('VCPUs'),
+ None,
+ '') if self.node_info.get('VCPUs') else None,
+
+ ('Max memory used{}'.format(by_single_task),
+ self.stats_max['mem']['rss'],
+ lambda x: x / 2**20,
+ 'MB'),
+
+ ('Requested RAM',
+ self.existing_constraints.get(self._map_runtime_constraint('ram')),
+ lambda x: x / 2**20,
+ 'MB') if self.existing_constraints.get(self._map_runtime_constraint('ram')) else None,
+
+ ('Maximum RAM request for this instance type',
+ (self.node_info.get('RAM') - self.arv_config.get('Containers', {}).get('ReserveExtraRAM', 0))*.95,
+ lambda x: x / 2**20,
+ 'MB') if self.node_info.get('RAM') else None,
+
+ ('Max network traffic{}'.format(by_single_task),
+ self.stats_max['net:eth0']['tx+rx'] +
+ self.stats_max['net:keep0']['tx+rx'],
+ lambda x: x / 1e9,
+ 'GB'),
+
+ ('Max network speed in a single interval',
+ self.stats_max['net:eth0']['tx+rx__rate'] +
+ self.stats_max['net:keep0']['tx+rx__rate'],
+ lambda x: x / 1e6,
+ 'MB/s'),
+
+ ('Keep cache miss rate',
+ (float(self.job_tot['keepcache']['miss']) /
+ float(self.job_tot['keepcalls']['get']))
+ if self.job_tot['keepcalls']['get'] > 0 else 0,
+ lambda x: x * 100.0,
+ '%'),
+
+ ('Keep cache utilization',
+ (float(self.job_tot['blkio:0:0']['read']) /
+ float(self.job_tot['net:keep0']['rx']))
+ if self.job_tot['net:keep0']['rx'] > 0 else 0,
+ lambda x: x * 100.0,
+ '%'),
+
+ ('Temp disk utilization',
+ (float(self.job_tot['statfs']['used']) /
+ float(self.job_tot['statfs']['total']))
+ if self.job_tot['statfs']['total'] > 0 else 0,
+ lambda x: x * 100.0,
+ '%'),
+ ]
+
+ if len(self.tasks) > 1:
+ metrics.insert(0, ('Number of tasks',
len(self.tasks),
- None),
- ('Max CPU time spent by a single task: {}s',
- self.stats_max['cpu']['user+sys'],
- None),
- ('Max CPU usage in a single interval: {}%',
- self.stats_max['cpu']['user+sys__rate'],
- lambda x: x * 100),
- ('Overall CPU usage: {}%',
- float(self.job_tot['cpu']['user+sys']) /
- self.job_tot['time']['elapsed']
- if self.job_tot['time']['elapsed'] > 0 else 0,
- lambda x: x * 100),
- ('Max memory used by a single task: {}GB',
- self.stats_max['mem']['rss'],
- lambda x: x / 1e9),
- ('Max network traffic in a single task: {}GB',
- self.stats_max['net:eth0']['tx+rx'] +
- self.stats_max['net:keep0']['tx+rx'],
- lambda x: x / 1e9),
- ('Max network speed in a single interval: {}MB/s',
- self.stats_max['net:eth0']['tx+rx__rate'] +
- self.stats_max['net:keep0']['tx+rx__rate'],
- lambda x: x / 1e6),
- ('Keep cache miss rate {}%',
- (float(self.job_tot['keepcache']['miss']) /
- float(self.job_tot['keepcalls']['get']))
- if self.job_tot['keepcalls']['get'] > 0 else 0,
- lambda x: x * 100.0),
- ('Keep cache utilization {}%',
- (float(self.job_tot['blkio:0:0']['read']) /
- float(self.job_tot['net:keep0']['rx']))
- if self.job_tot['net:keep0']['rx'] > 0 else 0,
- lambda x: x * 100.0),
- ('Temp disk utilization {}%',
- (float(self.job_tot['statfs']['used']) /
- float(self.job_tot['statfs']['total']))
- if self.job_tot['statfs']['total'] > 0 else 0,
- lambda x: x * 100.0),
- ):
- format_string, val, transform = args
+ None,
+ ''))
+ for args in metrics:
+ if args is None:
+ continue
+ format_string, val, transform, suffix = args
if val == float('-Inf'):
continue
if transform:
val = transform(val)
- yield "# "+format_string.format(self._format(val))
+ yield aggformat((format_string, self._format(val), suffix))
- def _recommend_gen(self):
+ def _recommend_gen(self, recommendformat):
# TODO recommend fixing job granularity if elapsed time is too short
+
+ if self.stats_max['time'].get('elapsed', 0) <= 20:
+ # Not enough data
+ return []
+
return itertools.chain(
- self._recommend_cpu(),
- self._recommend_ram(),
- self._recommend_keep_cache(),
- self._recommend_temp_disk(),
+ self._recommend_cpu(recommendformat),
+ self._recommend_ram(recommendformat),
+ self._recommend_keep_cache(recommendformat),
+ self._recommend_temp_disk(recommendformat),
)
- def _recommend_cpu(self):
+ def _recommend_cpu(self, recommendformat):
"""Recommend asking for 4 cores if max CPU usage was 333%"""
constraint_key = self._map_runtime_constraint('vcpus')
asked_cores = self.existing_constraints.get(constraint_key)
if asked_cores is None:
asked_cores = 1
- # TODO: This should be more nuanced in cases where max >> avg
- if used_cores < asked_cores:
- yield (
- '#!! {} max CPU usage was {}% -- '
- 'try reducing runtime_constraints to "{}":{}'
+
+ if used_cores < (asked_cores*.5):
+ yield recommendformat(
+ '{} peak CPU usage was only {}% out of possible {}% ({} cores requested)'
).format(
self.label,
math.ceil(cpu_max_rate*100),
- constraint_key,
- int(used_cores))
+ asked_cores*100, asked_cores)
# FIXME: This needs to be updated to account for current a-d-c algorithms
- def _recommend_ram(self):
+ def _recommend_ram(self, recommendformat):
"""Recommend an economical RAM constraint for this job.
Nodes that are advertised as "8 gibibytes" actually have what
if used_bytes == float('-Inf'):
logger.warning('%s: no memory usage data', self.label)
return
+ if not self.existing_constraints.get(constraint_key):
+ return
used_mib = math.ceil(float(used_bytes) / MB)
- asked_mib = self.existing_constraints.get(constraint_key)
+ asked_mib = self.existing_constraints.get(constraint_key) / MB
nearlygibs = lambda mebibytes: mebibytes/AVAILABLE_RAM_RATIO/1024
- if used_mib > 0 and (asked_mib is None or (
- math.ceil(nearlygibs(used_mib)) < nearlygibs(asked_mib))):
- yield (
- '#!! {} max RSS was {} MiB -- '
- 'try reducing runtime_constraints to "{}":{}'
+ ratio = 0.5
+ recommend_mib = int(math.ceil(nearlygibs(used_mib/ratio))*AVAILABLE_RAM_RATIO*1024)
+ if used_mib > 0 and (used_mib / asked_mib) < ratio and asked_mib > recommend_mib:
+ yield recommendformat(
+ '{} peak RAM usage was only {}% ({} MiB used / {} MiB requested)'
).format(
self.label,
+ int(math.ceil(100*(used_mib / asked_mib))),
int(used_mib),
- constraint_key,
- int(math.ceil(nearlygibs(used_mib))*AVAILABLE_RAM_RATIO*1024*(MB)/self._runtime_constraint_mem_unit()))
+ int(asked_mib))
+
+ def _recommend_keep_cache(self, recommendformat):
+ """Recommend increasing keep cache if utilization < 50%.
+
+ This means the amount of data returned to the program is less
+ than 50% of the amount of data actually downloaded by
+ arv-mount.
+ """
- 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
+
+ miss_rate = (float(self.job_tot['keepcache']['miss']) /
+ float(self.job_tot['keepcalls']['get']))
+
utilization = (float(self.job_tot['blkio:0:0']['read']) /
float(self.job_tot['net:keep0']['rx']))
# FIXME: the default on this get won't work correctly
- asked_cache = self.existing_constraints.get(constraint_key, 256) * self._runtime_constraint_mem_unit()
+ asked_cache = self.existing_constraints.get('keep_cache_ram') or self.existing_constraints.get('keep_cache_disk')
- if utilization < 0.8:
- yield (
- '#!! {} Keep cache utilization was {:.2f}% -- '
- 'try doubling runtime_constraints to "{}":{} (or more)'
+ if utilization < 0.5 and miss_rate > .05:
+ yield recommendformat(
+ '{} Keep cache utilization was only {:.2f}% and miss rate was {:.2f}% -- '
+ 'recommend increasing keep_cache'
).format(
self.label,
utilization * 100.0,
- constraint_key,
- math.ceil(asked_cache * 2 / self._runtime_constraint_mem_unit()))
+ miss_rate * 100.0)
- def _recommend_temp_disk(self):
- """Recommend decreasing temp disk if utilization < 50%"""
- total = float(self.job_tot['statfs']['total'])
- utilization = (float(self.job_tot['statfs']['used']) / total) if total > 0 else 0.0
+ def _recommend_temp_disk(self, recommendformat):
+ """This recommendation is disabled for the time being. It was
+ using the total disk on the node and not the amount of disk
+ requested, so it would trigger a false positive basically
+ every time. To get the amount of disk requested we need to
+ fish it out of the mounts, which is extra work I don't want do
+ right now. You can find the old code at commit 616d135e77
- if utilization < 50.8 and total > 0:
- yield (
- '#!! {} max temp disk utilization was {:.0f}% of {:.0f} MiB -- '
- 'consider reducing "tmpdirMin" and/or "outdirMin"'
- ).format(
- self.label,
- utilization * 100.0,
- total / MB)
+ """
+
+ return []
def _format(self, 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 ContainerRequestSummarizer.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
+ return key
class CollectionSummarizer(Summarizer):
else:
uuid = process_or_uuid
process = None
- arv = arvados.api('v1')
+ arv = kwargs.get("arv") or arvados.api('v1')
if '-dz642-' in uuid:
if process is None:
if process is None:
process = arv.container_requests().get(uuid=uuid).execute()
klass = ContainerRequestTreeSummarizer
- elif '-8i9sb-' in uuid:
- if process is None:
- process = arv.jobs().get(uuid=uuid).execute()
- klass = JobTreeSummarizer
- elif '-d1hrv-' in uuid:
- if process is None:
- process = arv.pipeline_instances().get(uuid=uuid).execute()
- klass = PipelineSummarizer
elif '-4zz18-' in uuid:
return CollectionSummarizer(collection_id=uuid)
else:
def __init__(self, process, label=None, **kwargs):
rdr = None
self.process = process
+ arv = kwargs.get("arv") or arvados.api('v1')
if label is None:
label = self.process.get('name', self.process['uuid'])
# Pre-Arvados v1.4 everything is in 'log'
log_collection = self.process.get('log', self.process.get('log_uuid'))
if log_collection and self.process.get('state') != 'Uncommitted': # arvados.util.CR_UNCOMMITTED:
try:
- rdr = crunchstat_summary.reader.CollectionReader(log_collection)
+ rdr = crunchstat_summary.reader.CollectionReader(
+ log_collection,
+ api_client=arv,
+ collection_object=kwargs.get("collection_object"))
except arvados.errors.NotFoundError as e:
logger.warning("Trying event logs after failing to read "
"log collection %s: %s", self.process['log'], e)
uuid = self.process.get('container_uuid', self.process.get('uuid'))
rdr = crunchstat_summary.reader.LiveLogReader(uuid)
label = label + ' (partial)'
+
super(ProcessSummarizer, self).__init__(rdr, label=label, **kwargs)
self.existing_constraints = self.process.get('runtime_constraints', {})
-
-
-class JobSummarizer(ProcessSummarizer):
- runtime_constraint_mem_unit = MB
- map_runtime_constraint = {
- 'keep_cache_ram': 'keep_cache_mb_per_task',
- 'ram': 'min_ram_mb_per_node',
- 'vcpus': 'min_cores_per_node',
- }
+ self.arv_config = arv.config()
+ self.cost = self.process.get('cost', 0)
class ContainerRequestSummarizer(ProcessSummarizer):
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()
+ self.threadcount = threads
def run(self):
- threads = []
- for child in self.children.values():
- self.throttle.acquire()
- t = threading.Thread(target=self.run_and_release, args=(child.run, ))
- t.daemon = True
- t.start()
- threads.append(t)
- for t in threads:
- t.join()
+ if self.threadcount > 1 and len(self.children) > 1:
+ completed = 0
+ def run_and_progress(child):
+ try:
+ child.run()
+ except Exception as e:
+ logger.exception("parse error")
+ completed += 1
+ logger.info("%s/%s summarized %s", completed, len(self.children), child.label)
+ with ThreadPoolExecutor(max_workers=self.threadcount) as tpe:
+ for child in self.children.values():
+ tpe.submit(run_and_progress, child)
+ else:
+ for child in self.children.values():
+ child.run()
def text_report(self):
txt = ''
return d
def html_report(self):
- return WEBCHART_CLASS(self.label, iter(self._descendants().values())).html()
+ tophtml = ""
+ bottomhtml = ""
+ label = self.label
+ if len(self._descendants()) == 1:
+ summarizer = next(iter(self._descendants().values()))
+ tophtml = """{}\n<table class='aggtable'><tbody>{}</tbody></table>\n""".format(
+ "\n".join(summarizer._recommend_gen(lambda x: "<p>{}</p>".format(x))),
+ "\n".join(summarizer._text_report_agg_gen(lambda x: "<tr><th>{}</th><td>{}{}</td></tr>".format(*x))))
+ bottomhtml = """<table class='metricstable'><tbody>{}</tbody></table>\n""".format(
+ "\n".join(summarizer._text_report_table_gen(lambda x: "<tr><th>{}</th><th>{}</th><th>{}</th><th>{}</th><th>{}</th></tr>".format(*x),
+ lambda x: "<tr><td>{}</td><td>{}</td><td>{}</td><td>{}</td><td>{}</td></tr>".format(*x))))
+ label = summarizer.long_label()
-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')
- 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',list(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'].items():
- 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)
+ return WEBCHART_CLASS(label, iter(self._descendants().values())).html(tophtml, bottomhtml)
class ContainerRequestTreeSummarizer(MultiSummarizer):
def __init__(self, root, skip_child_jobs=False, **kwargs):
- arv = arvados.api('v1')
+ arv = kwargs.get("arv") or arvados.api('v1')
label = kwargs.pop('label', None) or root.get('name') or root['uuid']
root['name'] = label
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['container_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 skip_child_jobs:
+ child_crs = arv.container_requests().list(filters=[['requesting_container_uuid', '=', current['container_uuid']]],
+ limit=0).execute()
+ logger.warning('%s: omitting stats from child containers'
+ ' because --skip-child-jobs flag is on',
+ label, child_crs['items_available'])
+ else:
+ for cr in arvados.util.keyset_list_all(arv.container_requests().list,
+ filters=[['requesting_container_uuid', '=', current['container_uuid']]]):
if cr['container_uuid']:
logger.debug('%s: container req %s', current['uuid'], cr['uuid'])
cr['name'] = cr.get('name') or cr['uuid']
projects / arvados.git / blobdiff