def main():
# Init.
logging.basicConfig(
level=logging.DEBUG) # TODO(alessio): INFO once debugged.
parser = collect_data.InstanceArgumentsParser()
parser.add_argument('-f',
'--filename_suffix',
help=('suffix of the exported file'))
parser.description = ('Exports pre-computed APM module quality assessment '
'results into HTML tables')
args = parser.parse_args()
# Get the scores.
src_path = collect_data.ConstructSrcPath(args)
logging.debug(src_path)
scores_data_frame = collect_data.FindScores(src_path, args)
# Export.
output_filepath = os.path.join(args.output_dir,
_BuildOutputFilename(args.filename_suffix))
exporter = export.HtmlExport(output_filepath)
exporter.Export(scores_data_frame)
logging.info('output file successfully written in %s', output_filepath)
sys.exit(0)
def InstanceArgumentsParser():
"""Arguments parser factory.
"""
parser = collect_data.InstanceArgumentsParser()
parser.description = (
'Shows boxplot of given score for different values of selected'
'parameters. Can be used to compare scores by audioproc_f flag')
parser.add_argument('-v',
'--eval_score',
required=True,
help=('Score name for constructing boxplots'))
parser.add_argument(
'-n',
'--config_dir',
required=False,
help=('path to the folder with the configuration files'),
default='apm_configs')
parser.add_argument('-z',
'--params_to_plot',
required=True,
nargs='+',
help=('audioproc_f parameter values'
'by which to group scores (no leading dash)'))
return parser
def _InstanceArgumentsParser():
"""Arguments parser factory. Extends the arguments from 'collect_data'
with a few extra for selecting what parameters to optimize for.
"""
parser = collect_data.InstanceArgumentsParser()
parser.description = (
'Rudimentary optimization of a function over different parameter'
'combinations.')
parser.add_argument(
'-n',
'--config_dir',
required=False,
help=('path to the folder with the configuration files'),
default='apm_configs')
parser.add_argument('-p',
'--params',
required=True,
nargs='+',
help=('parameters to parse from the config files in'
'config_dir'))
parser.add_argument(
'-z',
'--params_not_to_optimize',
required=False,
nargs='+',
default=[],
help=('parameters from `params` not to be optimized for'))
return parser