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#!/usr/bin/python
# Copyright (c) 2017 Cisco and/or its affiliates.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Generate csv files for the chapter "CSIT Release Notes" from json files
generated by Jenkins' jobs.
"""
from sys import exit as sys_exit
from os import walk
from os.path import join
from math import sqrt
from argparse import ArgumentParser, RawDescriptionHelpFormatter
from json import load
EXT_JSON = ".json"
EXT_TMPL = ".template"
EXT_CSV = ".csv"
def get_files(path, extension):
"""Generates the list of files to process.
:param path: Path to files.
:param extension: Extension of files to process. If it is the empty string,
all files will be processed.
:type path: str
:type extension: str
:returns: List of files to process.
:rtype: list
"""
file_list = list()
for root, _, files in walk(path):
for filename in files:
if extension:
if filename.endswith(extension):
file_list.append(join(root, filename))
else:
file_list.append(join(root, filename))
return file_list
def parse_args():
"""Parse arguments from cmd line.
:returns: Parsed arguments.
:rtype ArgumentParser
"""
parser = ArgumentParser(description=__doc__,
formatter_class=RawDescriptionHelpFormatter)
parser.add_argument("-i", "--input",
required=True,
help="Input folder with data files.")
parser.add_argument("-o", "--output",
required=True,
help="Output folder with csv files and templates for "
"csv files.")
return parser.parse_args()
def calculate_stats(data):
"""Calculate statistics:
- average,
- standard deviation.
:param data: Data to process.
:type data: list
:returns: Average and standard deviation.
:rtype: tuple
"""
if len(data) == 0:
return None, None
def average(items):
"""Calculate average from the items.
:param items: Average is calculated from these items.
:type items: list
:returns: Average.
:rtype: float
"""
return float(sum(items)) / len(items)
avg = average(data)
variance = [(x - avg) ** 2 for x in data]
stdev = sqrt(average(variance))
return avg, stdev
def write_line_to_file(file_handler, item):
"""Write a line to the csv file.
:param file_handler: File handler for the csv file. It must be open for
writing text.
:param item: Item to be written to the file.
:type file_handler: BinaryIO
:type item: dict
"""
mean = "" if item["mean"] is None else "{:.1f}".format(item["mean"])
stdev = "" if item["stdev"] is None else "{:.1f}".format(item["stdev"])
change = "" if item["change"] is None else "{:.1f}%".format(item["change"])
file_handler.write("{},{},{},{}\n".format(item["old"], mean, stdev, change))
def main():
"""Main function to generate csv files for the chapter "CSIT Release Notes"
from json files generated by Jenkins' jobs.
"""
args = parse_args()
json_files = get_files(args.input, EXT_JSON)
tmpl_files = get_files(args.output, EXT_TMPL)
if len(json_files) == 0:
print("No json data to process.")
exit(1)
if len(tmpl_files) == 0:
print("No template files to process.")
exit(1)
# Get information from template files
csv_data = list()
for tmpl_file in tmpl_files:
with open(tmpl_file, mode='r') as file_handler:
for line in file_handler:
line_list = line.split(',')
try:
csv_data.append({
"ID": line_list[0],
"type": line_list[0].rsplit("-", 1)[-1],
"old": ",".join(line_list[1:])[:-1],
"last_old": line_list[-1][:-1],
"rates": list(),
"mean": None,
"stdev": None,
"change": None})
except IndexError:
pass
# Update existing data with the new information from json files
for json_file in json_files:
with open(json_file) as file_handler:
tests_data = load(file_handler)
for item in csv_data:
try:
rate = tests_data["data"][item["ID"]]["throughput"]["value"]
item["rates"].append(rate)
except KeyError:
pass
# Add statistics
for item in csv_data:
mean, stdev = calculate_stats(item["rates"])
if mean is not None:
mean = float(mean) / 1000000
old = float(item["last_old"])
item["mean"] = mean
item["change"] = ((mean - old) / old) * 100
item["stdev"] = stdev / 1000000
# Sort the list, key = change
csv_data.sort(key=lambda data: data["change"], reverse=True)
# Write csv files
for tmpl_file in tmpl_files:
csv_file = tmpl_file.replace(EXT_TMPL, EXT_CSV)
with open(csv_file, "w") as file_handler:
for item in csv_data:
if "pdr_" in csv_file \
and "_others" not in csv_file \
and item["type"] == "pdrdisc" \
and item["change"] >= 9.5:
write_line_to_file(file_handler, item)
elif "pdr_" in csv_file \
and "_others" in csv_file \
and item["type"] == "pdrdisc" \
and item["change"] < 9.5:
write_line_to_file(file_handler, item)
elif "ndr_" in csv_file \
and "_others" not in csv_file \
and item["type"] == "ndrdisc" \
and item["change"] >= 9.5:
write_line_to_file(file_handler, item)
elif "ndr_" in csv_file \
and "_others" in csv_file \
and item["type"] == "ndrdisc" \
and item["change"] < 9.5:
write_line_to_file(file_handler, item)
if __name__ == "__main__":
sys_exit(main())
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