def setup_logging(options):
# Set log levels if the user has asked for it
logging_level = LOGGING_LEVELS.get(options.logging_level)
if logging_level is None:
logging_level = 20 # 20 -> 'info' logging level
logging.basicConfig(level=logging_level,
format='%(asctime)s %(levelname)s: %(message)s',
datefmt='%Y-%m-%d %H:%M:%S')
Utils.set_logging(logging_level)
LoadAnalysisLib.set_logging(logging_level)
def main():
# Setup parser options & parse them
parser = setup_parser_options()
(options, args) = parser.parse_args()
# Setup logging if requested
setup_logging(options)
# Check for arguments, in this case, directories containing file data
if len(args) < 1:
parser.error("no arguments given.")
# Setup the output file to write the results to, if requested
if options.output_to_file:
LoadAnalysisLib.output_to_file = True
Utils.filepath = 'results/' + options.output_to_file
# Parse out all of the file data provided
all_file_data = LoadAnalysisLib.parse_data_files(args)
# Print debug info about all of the original file data, if requested
if options.logging_level == 'debug':
LoadAnalysisLib.log_debug_file_data("original", all_file_data)
# Analyze all of the original file data and log it
title, log = "original", True
LoadAnalysisLib.analyze(all_file_data, title, log)
# Clean up outliers if requested & reset the file data to be the clean data
if options.cleanup_level:
cleanup_level = int(options.cleanup_level)
# Clean the original file data
all_file_data_cleaned = \
LoadAnalysisLib.cleanup_file_data(all_file_data, \
cleanup_level)
# Reset the original file data to now be the clean file data
all_file_data = all_file_data_cleaned
# Analyze all of the clean file data and log it
title, log = "clean", True
LoadAnalysisLib.analyze(all_file_data, title, log)
# Trim the file data (original or clean) based off of a shared timestamp
# threshold
all_file_data_trimmed = \
LoadAnalysisLib.trim_lists_by_common_threshold(all_file_data)
# Print debug info about the trimmed file data (original or clean),
# if requested
if options.logging_level == 'debug':
LoadAnalysisLib.log_debug_file_data("trimmed", all_file_data_trimmed)
# Find the mean of all delta standard deviations found (from the trimmed
# file data)
LoadAnalysisLib.compute_mean_of_file_data_stds(\
all_file_data_trimmed)
# Plot the trimmed file data (original or clean)
if options.plot_filename:
filepath = '/'.join(['graphs', options.plot_filename])
# Collect all of the timestamps and deltas
all_timestamps = \
LoadAnalysisLib.collect_all_timestamps(all_file_data_trimmed)
all_deltas = \
LoadAnalysisLib.collect_all_deltas(all_file_data_trimmed)
# Plot the data
plot_title = "Load Analysis"
Utils.plot_data(all_timestamps, all_deltas, plot_title, filepath)
