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# Copyright 2023 Neil Zaim
#
# This file is part of WarpX.
#
# License: BSD-3-Clause-LBNL
import json
import re
import sys
'''
This Python script updates the Azure benchmarks automatically using a raw Azure output textfile
that is given as the first and only argument of the script.
In the Azure output, we read the lines contained between
"New file for Test_Name:"
and the next occurrence of
"'----------------'"
And use these lines to update the benchmarks
'''
azure_output_filename = sys.argv[1]
pattern_test_name = 'New file for (?P<testname>[\w\-]*)'
closing_string = '----------------'
benchmark_path = "../../Regression/Checksum/benchmarks_json/"
benchmark_suffix = ".json"
first_line_read = False
current_test = ""
with open(azure_output_filename, "r") as f:
for line in f:
if current_test == "":
# Here we search lines that read, for example,
# "New file for LaserAcceleration_BTD"
# and we set current_test = "LaserAcceleration_BTD"
match_test_name = re.search(pattern_test_name, line)
if match_test_name:
current_test = match_test_name.group('testname')
new_file_string = ""
else:
# We add each line to the new file string until we find the line containing
# "----------------"
# which indicates that we have read the new file entirely
if not closing_string in line:
if not first_line_read:
# Raw Azure output comes with a prefix at the beginning of each line that we do
# not need here. The first line that we will read is the prefix followed by the
# "{" character, so we determine how long the prefix is by finding the last
# occurence of the "{" character in this line.
azure_indent = line.rfind('{')
first_line_read = True
new_file_string += line[azure_indent:]
else:
# We have read the new file entirely. Dump it in the json file.
new_file_json = json.loads(new_file_string)
json_filepath = benchmark_path+current_test+benchmark_suffix
with open(json_filepath, "w") as f_json:
json.dump(new_file_json, f_json, indent=2)
current_test = ""
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