X-Git-Url: https://gerrit.fd.io/r/gitweb?p=csit.git;a=blobdiff_plain;f=resources%2Ftools%2Fpresentation%2Fgenerator_tables.py;h=6c301878ce4e5cb04e581f059ebe677deecc1009;hp=58d7426542815bb400b39d2960342a45f5c86709;hb=4a40c75ffc9f6b62a2eb58007675ef17f4c32b1e;hpb=4ade202fbf0b8978cd7d348507c14eda28ae76ad diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py index 58d7426542..6c301878ce 100644 --- a/resources/tools/presentation/generator_tables.py +++ b/resources/tools/presentation/generator_tables.py @@ -18,11 +18,14 @@ import logging import csv import prettytable +import numpy as np +import pandas as pd from string import replace +from math import isnan from errors import PresentationError -from utils import mean, stdev, relative_change +from utils import mean, stdev, relative_change, remove_outliers, find_outliers def generate_tables(spec, data): @@ -194,10 +197,10 @@ def table_performance_improvements(table, input_data): line_lst = list() for item in data: if isinstance(item["data"], str): - line_lst.append(item["data"]) # Remove -?drdisc from the end if item["data"].endswith("drdisc"): item["data"] = item["data"][:-8] + line_lst.append(item["data"]) elif isinstance(item["data"], float): line_lst.append("{:.1f}".format(item["data"])) elif item["data"] is None: @@ -269,7 +272,7 @@ def table_performance_improvements(table, input_data): else: tbl_item.append({"data": None}) except (IndexError, ValueError, TypeError): - logging.error("No data for {0}".format(tbl_item[1]["data"])) + logging.error("No data for {0}".format(tbl_item[0]["data"])) tbl_item.append({"data": None}) continue else: @@ -299,19 +302,19 @@ def table_performance_improvements(table, input_data): else: rel_change = item[-1]["data"] if "ndr_top" in file_name \ - and "ndr" in item[1]["data"] \ + and "ndr" in item[0]["data"] \ and rel_change >= 10.0: _write_line_to_file(file_handler, item) elif "pdr_top" in file_name \ - and "pdr" in item[1]["data"] \ + and "pdr" in item[0]["data"] \ and rel_change >= 10.0: _write_line_to_file(file_handler, item) elif "ndr_low" in file_name \ - and "ndr" in item[1]["data"] \ + and "ndr" in item[0]["data"] \ and rel_change < 10.0: _write_line_to_file(file_handler, item) elif "pdr_low" in file_name \ - and "pdr" in item[1]["data"] \ + and "pdr" in item[0]["data"] \ and rel_change < 10.0: _write_line_to_file(file_handler, item) @@ -353,7 +356,6 @@ def table_performance_comparison(table, input_data): # Transform the data data = input_data.filter_data(table) - logging.info(data) # Prepare the header of the tables try: @@ -386,7 +388,6 @@ def table_performance_comparison(table, input_data): append(tst_data["throughput"]["value"]) except TypeError: pass # No data in output.xml for this test - logging.info(pformat(tbl_dict)) for job, builds in table["compare"]["data"].items(): for build in builds: @@ -403,17 +404,17 @@ def table_performance_comparison(table, input_data): for tst_name in tbl_dict.keys(): item = [tbl_dict[tst_name]["name"], ] if tbl_dict[tst_name]["ref-data"]: - item.append(round(mean(tbl_dict[tst_name]["ref-data"]) / 1000000, - 2)) - item.append(round(stdev(tbl_dict[tst_name]["ref-data"]) / 1000000, - 2)) + data_t = remove_outliers(tbl_dict[tst_name]["ref-data"], + table["outlier-const"]) + item.append(round(mean(data_t) / 1000000, 2)) + item.append(round(stdev(data_t) / 1000000, 2)) else: item.extend([None, None]) if tbl_dict[tst_name]["cmp-data"]: - item.append(round(mean(tbl_dict[tst_name]["cmp-data"]) / 1000000, - 2)) - item.append(round(stdev(tbl_dict[tst_name]["cmp-data"]) / 1000000, - 2)) + data_t = remove_outliers(tbl_dict[tst_name]["cmp-data"], + table["outlier-const"]) + item.append(round(mean(data_t) / 1000000, 2)) + item.append(round(stdev(data_t) / 1000000, 2)) else: item.extend([None, None]) if item[1] is not None and item[3] is not None: @@ -469,6 +470,7 @@ def table_performance_comparison(table, input_data): txt_table = prettytable.PrettyTable(row) else: txt_table.add_row(row) + txt_table.align["Test case"] = "l" with open(txt_name, "w") as txt_file: txt_file.write(str(txt_table)) @@ -526,3 +528,104 @@ def table_performance_comparison(table, input_data): if i == table["nr-of-tests-shown"]: break out_file.write(line) + + +def table_performance_trending_dashboard(table, input_data): + """Generate the table(s) with algorithm: table_performance_comparison + specified in the specification file. + + :param table: Table to generate. + :param input_data: Data to process. + :type table: pandas.Series + :type input_data: InputData + """ + + logging.info(" Generating the table {0} ...". + format(table.get("title", ""))) + + # Transform the data + data = input_data.filter_data(table) + + # Prepare the header of the tables + header = ["Test case", + "Thput trend [Mpps]", + "Change [Mpps]", + "Change [%]", + "Anomaly"] + header_str = ",".join(header) + "\n" + + # Prepare data to the table: + tbl_dict = dict() + for job, builds in table["data"].items(): + for build in builds: + for tst_name, tst_data in data[job][str(build)].iteritems(): + if tbl_dict.get(tst_name, None) is None: + name = "{0}-{1}".format(tst_data["parent"].split("-")[0], + "-".join(tst_data["name"]. + split("-")[1:])) + tbl_dict[tst_name] = {"name": name, + "data": list()} + try: + tbl_dict[tst_name]["data"]. \ + append(tst_data["throughput"]["value"]) + except TypeError: + pass # No data in output.xml for this test + + tbl_lst = list() + for tst_name in tbl_dict.keys(): + if len(tbl_dict[tst_name]["data"]) > 2: + pd_data = pd.Series(tbl_dict[tst_name]["data"]) + win_size = pd_data.size \ + if pd_data.size < table["window"] else table["window"] + # Test name: + name = tbl_dict[tst_name]["name"] + # Throughput trend: + trend = list(pd_data.rolling(window=win_size).median())[-2] + # Anomaly: + t_data, _ = find_outliers(pd_data) + last = list(t_data)[-1] + t_stdev = list(t_data.rolling(window=win_size, min_periods=2). + std())[-2] + if isnan(last): + anomaly = "outlier" + elif last < (trend - 3 * t_stdev): + anomaly = "regression" + elif last > (trend + 3 * t_stdev): + anomaly = "progression" + else: + anomaly = "normal" + # Change: + change = round(float(last - trend) / 1000000, 2) + # Relative change: + rel_change = int(relative_change(float(trend), float(last))) + + tbl_lst.append([name, + round(float(last) / 1000000, 2), + change, + rel_change, + anomaly]) + + # Sort the table according to the relative change + tbl_lst.sort(key=lambda rel: rel[-1], reverse=True) + + file_name = "{}.{}".format(table["output-file"], table["output-file-ext"]) + + logging.info(" Writing file: '{}'".format(file_name)) + with open(file_name, "w") as file_handler: + file_handler.write(header_str) + for test in tbl_lst: + file_handler.write(",".join([str(item) for item in test]) + '\n') + + txt_file_name = "{}.txt".format(table["output-file"]) + txt_table = None + logging.info(" Writing file: '{}'".format(txt_file_name)) + with open(file_name, 'rb') as csv_file: + csv_content = csv.reader(csv_file, delimiter=',', quotechar='"') + for row in csv_content: + if txt_table is None: + txt_table = prettytable.PrettyTable(row) + else: + txt_table.add_row(row) + txt_table.align["Test case"] = "l" + with open(txt_file_name, "w") as txt_file: + txt_file.write(str(txt_table))