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-rw-r--r--docker/storperf-master/storperf/utilities/data_handler.py9
-rw-r--r--docker/storperf-master/storperf/utilities/math.py18
2 files changed, 16 insertions, 11 deletions
diff --git a/docker/storperf-master/storperf/utilities/data_handler.py b/docker/storperf-master/storperf/utilities/data_handler.py
index cb662f5..6e87781 100644
--- a/docker/storperf-master/storperf/utilities/data_handler.py
+++ b/docker/storperf-master/storperf/utilities/data_handler.py
@@ -61,6 +61,10 @@ class DataHandler(object):
metrics[metric][io_type]['steady_state'] = steady
metrics[metric][io_type]['series_slope'] = \
math.slope_series(series)
+ metrics[metric][io_type]['series_min'] = \
+ math.min_series(series)
+ metrics[metric][io_type]['series_max'] = \
+ math.max_series(series)
treated_data = DataTreatment.data_treatment(series)
metrics[metric][io_type]['slope'] = \
@@ -70,11 +74,6 @@ class DataHandler(object):
average = math.average(treated_data['average_data'])
metrics[metric][io_type]['average'] = average
- metrics[metric][io_type]['series_min'] = \
- math.min_series(treated_data['range_data'])
- metrics[metric][io_type]['series_max'] = \
- math.max_series(treated_data['range_data'])
-
metrics_key = '%s.%s.%s' % (workload, io_type, metric)
executor.metadata['details']['metrics'][metrics_key] = \
average
diff --git a/docker/storperf-master/storperf/utilities/math.py b/docker/storperf-master/storperf/utilities/math.py
index 601ae37..173c39e 100644
--- a/docker/storperf-master/storperf/utilities/math.py
+++ b/docker/storperf-master/storperf/utilities/math.py
@@ -152,11 +152,14 @@ def min_series(data_series):
"""
new_series = []
- avg = average(data_series)
+ average_series = []
+ for l in data_series:
+ average_series.append(l[1])
+ avg = average(average_series)
low = avg - (avg * RANGE_DEVIATION)
- for _ in data_series:
- new_series.append(low)
+ for index, _ in data_series:
+ new_series.append([index, low])
return new_series
@@ -168,10 +171,13 @@ def max_series(data_series):
"""
new_series = []
- avg = average(data_series)
+ average_series = []
+ for l in data_series:
+ average_series.append(l[1])
+ avg = average(average_series)
high = avg + (avg * RANGE_DEVIATION)
- for _ in data_series:
- new_series.append(high)
+ for index, _ in data_series:
+ new_series.append([index, high])
return new_series