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##############################################################################
# Copyright (c) 2016 Dell EMC and others.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
##############################################################################
import logging
import os
import time
from storperf.db import test_results_db
from storperf.db.graphite_db import GraphiteDB
from storperf.db.job_db import JobDB
from storperf.utilities import data_treatment as DataTreatment
from storperf.utilities import math as math
from storperf.utilities import steady_state as SteadyState
class DataHandler(object):
def __init__(self):
self.logger = logging.getLogger(__name__)
self.job_db = JobDB()
"""
"""
def data_event(self, executor):
self.logger.debug("Event received")
if executor.terminated:
self._push_to_db(executor)
else:
workload = '.'.join(executor.current_workload.split('.')[1:6])
steady_state = True
metrics = {}
for metric in ('lat_ns.mean', 'iops', 'bw'):
metrics[metric] = {}
for io_type in ('read', 'write'):
metrics[metric][io_type] = {}
function = "sumSeries"
if 'mean' in metric:
function = "averageSeries"
series = self._lookup_prior_data(executor, metric, io_type,
function)
series = self._convert_timestamps_to_samples(
executor, series)
steady = self._evaluate_prior_data(
series, executor.steady_state_samples)
self.logger.debug("Steady state for %s %s: %s"
% (io_type, metric, steady))
metrics[metric][io_type]['series'] = series
metrics[metric][io_type]['steady_state'] = steady
treated_data = DataTreatment.data_treatment(series)
metrics[metric][io_type]['slope'] = \
math.slope(treated_data['slope_data'])
metrics[metric][io_type]['range'] = \
math.range_value(treated_data['range_data'])
average = math.average(treated_data['average_data'])
metrics[metric][io_type]['average'] = average
metrics_key = '%s.%s.%s' % (workload, io_type, metric)
executor.metadata['details']['metrics'][metrics_key] = \
average
if not steady:
steady_state = False
if 'report_data' not in executor.metadata['details']:
executor.metadata['details']['report_data'] = {}
if 'steady_state' not in executor.metadata['details']:
executor.metadata['details']['steady_state'] = {}
executor.metadata['details']['report_data'][workload] = metrics
executor.metadata['details']['steady_state'][workload] = \
steady_state
workload_name = executor.current_workload.split('.')[1]
if steady_state and not workload_name.startswith('_'):
executor.terminate_current_run()
def _lookup_prior_data(self, executor, metric, io_type, function):
workload = executor.current_workload
graphite_db = GraphiteDB()
# A bit of a hack here as Carbon might not be finished storing the
# data we just sent to it
now = int(time.time())
backtime = 60 * (executor.steady_state_samples + 1)
data_series = graphite_db.fetch_series(function,
workload,
metric,
io_type,
now,
backtime)
return data_series
def _convert_timestamps_to_samples(self, executor, series):
workload_record = self.job_db.fetch_workloads(
executor.current_workload)
start_time = int(workload_record[0][1])
normalized_series = []
for item in series:
elapsed = (item[0] - start_time)
sample_number = int(round(float(elapsed) / 60))
normalized_series.append([sample_number, item[1]])
return normalized_series
def _evaluate_prior_data(self, data_series, samples):
self.logger.debug("Data series: %s" % data_series)
number_of_samples = len(data_series)
if number_of_samples == 0:
return False
if (number_of_samples < samples):
self.logger.debug("Only %s samples, ignoring" % number_of_samples)
return False
return SteadyState.steady_state(data_series)
def _push_to_db(self, executor):
executor.metadata['duration'] = executor.end_time - executor.start_time
executor.metadata['timestart'] = executor.start_time
criteria = self._determine_criteria(executor.metadata)
executor.metadata['criteria'] = criteria
executor.metadata['start_date'] = \
time.strftime('%Y-%m-%d %H:%M:%S',
time.gmtime(executor.start_time))
executor.metadata['stop_date'] = \
time.strftime('%Y-%m-%d %H:%M:%S',
time.gmtime(executor.end_time))
test_db = os.environ.get('TEST_DB_URL')
if test_db is not None:
self.logger.info("Pushing results to %s" % (test_db))
try:
response = test_results_db.push_results_to_db(
test_db,
executor.metadata,
self.logger)
executor.result_url = response['href']
except Exception:
self.logger.exception("Error pushing results into Database")
def _determine_criteria(self, metadata):
steady_state = True
for workload, value in metadata['details']['steady_state'].items():
if not workload.startswith("_"):
steady_state = steady_state and value
if steady_state:
return "PASS"
else:
return "FAIL"
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