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-rw-r--r--resources/tools/presentation/generator_tables.py53
1 files changed, 44 insertions, 9 deletions
diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py
index cb89a8bbcf..3c4900b2e2 100644
--- a/resources/tools/presentation/generator_tables.py
+++ b/resources/tools/presentation/generator_tables.py
@@ -22,6 +22,7 @@ import pandas as pd
from string import replace
from math import isnan
+from collections import OrderedDict
from numpy import nan
from xml.etree import ElementTree as ET
@@ -360,12 +361,20 @@ def table_performance_comparison(table, input_data):
# Prepare the header of the tables
try:
- header = ["Test case",
- "{0} Throughput [Mpps]".format(table["reference"]["title"]),
- "{0} stdev [Mpps]".format(table["reference"]["title"]),
- "{0} Throughput [Mpps]".format(table["compare"]["title"]),
- "{0} stdev [Mpps]".format(table["compare"]["title"]),
- "Change [%]"]
+ header = ["Test case", ]
+
+ history = table.get("history", None)
+ if history:
+ for item in history:
+ header.extend(
+ ["{0} Throughput [Mpps]".format(item["title"]),
+ "{0} Stdev [Mpps]".format(item["title"])])
+ header.extend(
+ ["{0} Throughput [Mpps]".format(table["reference"]["title"]),
+ "{0} Stdev [Mpps]".format(table["reference"]["title"]),
+ "{0} Throughput [Mpps]".format(table["compare"]["title"]),
+ "{0} Stdev [Mpps]".format(table["compare"]["title"]),
+ "Change [%]"])
header_str = ",".join(header) + "\n"
except (AttributeError, KeyError) as err:
logging.error("The model is invalid, missing parameter: {0}".
@@ -400,10 +409,36 @@ def table_performance_comparison(table, input_data):
pass
except TypeError:
tbl_dict.pop(tst_name, None)
+ if history:
+ for item in history:
+ for job, builds in item["data"].items():
+ for build in builds:
+ for tst_name, tst_data in data[job][str(build)].iteritems():
+ if tbl_dict[tst_name].get("history", None) is None:
+ tbl_dict[tst_name]["history"] = OrderedDict()
+ if tbl_dict[tst_name]["history"].get(item["title"],
+ None) is None:
+ tbl_dict[tst_name]["history"][item["title"]] = \
+ list()
+ tbl_dict[tst_name]["history"][item["title"]].\
+ append(tst_data["throughput"]["value"])
tbl_lst = list()
for tst_name in tbl_dict.keys():
item = [tbl_dict[tst_name]["name"], ]
+ if history:
+ for hist_list in tbl_dict[tst_name]["history"].values():
+ for hist_data in hist_list:
+ if hist_data:
+ data_t = remove_outliers(
+ hist_data, outlier_const=table["outlier-const"])
+ if data_t:
+ item.append(round(mean(data_t) / 1000000, 2))
+ item.append(round(stdev(data_t) / 1000000, 2))
+ else:
+ item.extend([None, None])
+ else:
+ item.extend([None, None])
if tbl_dict[tst_name]["ref-data"]:
data_t = remove_outliers(tbl_dict[tst_name]["ref-data"],
outlier_const=table["outlier-const"])
@@ -426,9 +461,9 @@ def table_performance_comparison(table, input_data):
item.extend([None, None])
else:
item.extend([None, None])
- if item[1] is not None and item[3] is not None:
- item.append(int(relative_change(float(item[1]), float(item[3]))))
- if len(item) == 6:
+ if item[-5] is not None and item[-3] is not None and item[-5] != 0:
+ item.append(int(relative_change(float(item[-5]), float(item[-3]))))
+ if len(item) == len(header):
tbl_lst.append(item)
# Sort the table according to the relative change