1 files changed, 0 insertions, 166 deletions
diff --git a/scripts/benchmark/compare-results-with-history.py b/scripts/benchmark/compare-results-with-history.py
deleted file mode 100755
index ed609552..00000000
--- a/scripts/benchmark/compare-results-with-history.py
+++ /dev/null
@@ -1,166 +0,0 @@
-#!/usr/bin/env python
-
-# Given a JSON file output by pytest-benchmark, this script compares the
-# results of a test session with the results stored in elasticsearch.
-#
-#   - iterate through test results in pytest-benchmark JSON file.
-#
-#   - for each one, get mean and stddev of the mean of last 20 results from
-#     master branch.
-#
-#   - compare the result in the file with the results in elastic.
-
-import argparse
-import copy
-import json
-import requests
-import sys
-
-
-URL = "https://moose.leap.se:9200/benchmark/_search"
-BLOCK_SIZE = 20
-MULTIPLIER = 1.5
-
-
-def parse_args():
-    parser = argparse.ArgumentParser()
-    parser.add_argument(
-        'file',
-        help='The file with JSON results of pytest-benchmark')
-    return parser.parse_args()
-
-
-def parse_file(file):
-    data = None
-    tests = []
-    with open(file) as f:
-        data = json.loads(f.read())
-    for test in data['benchmarks']:
-        name = test['name']
-        mean = test['stats']['mean']
-        extra = test['extra_info']
-        tests.append((name, mean, extra))
-    return tests
-
-
-base_query = {
-    "query": {
-        "bool": {
-            "must": [
-                {"term": {"machine_info.host": "weasel"}},
-                {"term": {"commit_info.branch": "master"}},
-                {"term": {"commit_info.project": "soledad"}},
-                {"exists": {"field": "extra_info"}},
-                {"exists": {"field": "extra_info.cpu_percent"}}
-            ],
-            "must_not": [
-            ],
-        },
-    },
-    "aggs": {
-        "commit_id_time": {
-            "terms": {
-                "field": "commit_info.id",
-                "size": BLOCK_SIZE,
-                "order": {"commit_info_time": "desc"},
-            },
-            "aggs": {
-                "commit_info_time": {"max": {"field": "commit_info.time"}},
-            }
-        }
-    },
-}
-
-
-def get_time_cpu_stats(test):
-    query = copy.deepcopy(base_query)
-    query['query']['bool']['must'].append({
-        'term': {'name': test}})
-    query['query']['bool']['must_not'].append(
-        {'exists': {'field': "extra_info.memory_percent"}})
-    query['aggs']['commit_id_time']['aggs']['time'] = \
-        {"stats": {"field": "stats.mean"}}
-    query['aggs']['commit_id_time']['aggs']['cpu'] = \
-        {"stats": {"field": "extra_info.cpu_percent"}}
-    response = requests.get("%s?size=0" % URL, data=json.dumps(query))
-    data = response.json()
-    time = []
-    cpu = []
-    buckets = data['aggregations']['commit_id_time']['buckets']
-    for bucket in buckets:
-        time.append(bucket['time']['avg'])
-        cpu.append(bucket['cpu']['avg'])
-    return time, cpu
-
-
-def get_mem_stats(test):
-    query = copy.deepcopy(base_query)
-    query['query']['bool']['must'].append({
-        'term': {'name': test}})
-    query['query']['bool']['must'].append(
-        {'exists': {'field': "extra_info.memory_percent"}})
-    query['aggs']['commit_id_time']['aggs']['mem'] = \
-        {"stats": {"field": "extra_info.memory_percent.stats.max"}}
-    response = requests.get("%s?size=0" % URL, data=json.dumps(query))
-    data = response.json()
-    mem = []
-    buckets = data['aggregations']['commit_id_time']['buckets']
-    for bucket in buckets:
-        mem.append(bucket['mem']['avg'])
-    return mem
-
-
-def _mean(l):
-    return float(sum(l)) / len(l)
-
-
-def _std(l):
-    if len(l) <= 1:
-        return 0
-    mean = _mean(l)
-    squares = [(x - mean) ** 2 for x in l]
-    return (sum(squares) / (len(l) - 1)) ** 0.5
-
-
-def detect_bad_outlier(test, mean, extra):
-    bad = False
-    if 'memory_percent' in extra:
-        mem = get_mem_stats(test)
-        value = extra['memory_percent']['stats']['max']
-        bad |= _detect_outlier('mem', value, mem) > 0
-    else:
-        time, cpu = get_time_cpu_stats(test)
-
-        value = mean
-        bad |= _detect_outlier('time', value, time) > 0
-
-        value = extra['cpu_percent']
-        bad |= _detect_outlier('cpu', value, cpu) > 0
-    return bad
-
-
-def _detect_outlier(name, value, list):
-    mean = _mean(list)
-    std = _std(list)
-    result = 0
-    print "%s: %f ? %f +- %f * %f" \
-          % (name, value, mean, MULTIPLIER, std)
-    if value < mean - MULTIPLIER * std:
-        print "%s: %f < %f - %f * %f" \
-              % (name, value, mean, MULTIPLIER, std)
-        result = -1
-    elif value > mean + MULTIPLIER * std:
-        print "%s: %f > %f - %f * %f" \
-              % (name, value, mean, MULTIPLIER, std)
-        result = 1
-    return result
-
-
-if __name__ == '__main__':
-    args = parse_args()
-    tests = parse_file(args.file)
-    failed = False
-    for test, mean, extra in tests:
-        failed |= detect_bad_outlier(test, mean, extra)
-    if failed:
-        sys.exit(1)