glibc/benchtests/scripts/import_bench.py
Siddhesh Poyarekar 0994b9b6f6 New module to import and process benchmark output
This is the beginning of a module to import and process benchmark
outputs.  The module currently supports importing of a bench.out and
validating it against a schema file.  In future this could grow a set
of routines that benchmark consumers may find useful to build their
own analysis tools.  I have altered validate_bench to use this module
too.

	* benchtests/scripts/import_bench.py: New file.
	* benchtests/scripts/validate_benchout.py: Import import_bench
	instead of jsonschema.
	(validate_bench): Remove function.
	(main): Use import_bench.
2015-06-01 23:13:29 +05:30

46 lines
1.6 KiB
Python

#!/usr/bin/python
# Copyright (C) 2015 Free Software Foundation, Inc.
# This file is part of the GNU C Library.
#
# The GNU C Library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# The GNU C Library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with the GNU C Library; if not, see
# <http://www.gnu.org/licenses/>.
"""Functions to import benchmark data and process it"""
import json
try:
import jsonschema as validator
except ImportError:
print('Could not find jsonschema module.')
raise
def parse_bench(filename, schema_filename):
"""Parse the input file
Parse and validate the json file containing the benchmark outputs. Return
the resulting object.
Args:
filename: Name of the benchmark output file.
Return:
The bench dictionary.
"""
with open(schema_filename, 'r') as schemafile:
schema = json.load(schemafile)
with open(filename, 'r') as benchfile:
bench = json.load(benchfile)
validator.validate(bench, schema)
do_for_all_timings(bench, lambda b, f, v:
b['functions'][f][v]['timings'].sort())
return bench