#!/usr/bin/python2 # Copyright 2016 The Chromium OS Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """Unit tests for the utility module.""" import collections import csv import unittest import utils class UtilsTest(unittest.TestCase): """Test class for utility module.""" def __init__(self, *args, **kwargs): super(UtilsTest, self).__init__(*args, **kwargs) self._pprof_top_csv_file = 'testdata/input/pprof_top_csv/file1.csv' self._pprof_top_file = 'testdata/input/pprof_top/file1.pprof' self._pprof_tree_csv_file = 'testdata/input/pprof_tree_csv/file1.csv' self._pprof_tree_file = 'testdata/input/pprof_tree/file1.pprof' self._pairwise_inclusive_count_test_file = \ 'testdata/input/pairwise_inclusive_count_test.csv' self._pairwise_inclusive_count_reference_file = \ 'testdata/input/pairwise_inclusive_count_reference.csv' self._inclusive_count_test_file = \ 'testdata/input/inclusive_count_test.csv' self._inclusive_count_reference_file = \ 'testdata/input/inclusive_count_reference.csv' def testParseFunctionGroups(self): cwp_function_groups_lines = \ ['group1 /a\n', 'group2 /b\n', 'group3 /c\n', 'group4 /d\n'] expected_output = [('group1', '/a'), ('group2', '/b'), ('group3', '/c'), ('group4', '/d')] result = utils.ParseFunctionGroups(cwp_function_groups_lines) self.assertListEqual(expected_output, result) def testParsePProfTopOutput(self): result_pprof_top_output = utils.ParsePprofTopOutput(self._pprof_top_file) expected_pprof_top_output = {} with open(self._pprof_top_csv_file) as input_file: statistics_reader = csv.DictReader(input_file, delimiter=',') for statistic in statistics_reader: if statistic['file']: function_key = ','.join([statistic['function'], statistic['file']]) else: function_key = statistic['function'] expected_pprof_top_output[function_key] = \ (statistic['flat'], statistic['flat_p'], statistic['sum_p'], statistic['cum'], statistic['cum_p']) self.assertDictEqual(result_pprof_top_output, expected_pprof_top_output) def testParsePProfTreeOutput(self): result_pprof_tree_output = utils.ParsePprofTreeOutput(self._pprof_tree_file) expected_pprof_tree_output = collections.defaultdict(dict) with open(self._pprof_tree_csv_file) as input_file: statistics_reader = csv.DictReader(input_file, delimiter=',') for statistic in statistics_reader: parent_function_key = \ ','.join([statistic['parent_function'], statistic['parent_function_file']]) child_function_key = \ ','.join([statistic['child_function'], statistic['child_function_file']]) expected_pprof_tree_output[parent_function_key][child_function_key] = \ float(statistic['inclusive_count_fraction']) self.assertDictEqual(result_pprof_tree_output, expected_pprof_tree_output) def testParseCWPInclusiveCountFile(self): expected_inclusive_statistics_test = \ {'func_i,/c/d/file_i': ('i', 5, 4.4, utils.EXTRA_FUNCTION), 'func_j,/e/file_j': ('j', 6, 5.5, utils.EXTRA_FUNCTION), 'func_f,/a/b/file_f': ('f', 4, 2.3, utils.EXTRA_FUNCTION), 'func_h,/c/d/file_h': ('h', 1, 3.3, utils.EXTRA_FUNCTION), 'func_k,/e/file_k': ('k', 7, 6.6, utils.EXTRA_FUNCTION), 'func_g,/a/b/file_g': ('g', 2, 2.2, utils.EXTRA_FUNCTION)} expected_inclusive_statistics_reference = \ {'func_i,/c/d/file_i': ('i', 5, 4.0, utils.EXTRA_FUNCTION), 'func_j,/e/file_j': ('j', 6, 5.0, utils.EXTRA_FUNCTION), 'func_f,/a/b/file_f': ('f', 1, 1.0, utils.EXTRA_FUNCTION), 'func_l,/e/file_l': ('l', 7, 6.0, utils.EXTRA_FUNCTION), 'func_h,/c/d/file_h': ('h', 4, 3.0, utils.EXTRA_FUNCTION), 'func_g,/a/b/file_g': ('g', 5, 4.4, utils.EXTRA_FUNCTION)} result_inclusive_statistics_test = \ utils.ParseCWPInclusiveCountFile(self._inclusive_count_test_file) result_inclusive_statistics_reference = \ utils.ParseCWPInclusiveCountFile(self._inclusive_count_reference_file) self.assertDictEqual(result_inclusive_statistics_test, expected_inclusive_statistics_test) self.assertDictEqual(result_inclusive_statistics_reference, expected_inclusive_statistics_reference) def testParseCWPPairwiseInclusiveCountFile(self): expected_pairwise_inclusive_statistics_test = { 'func_f': {'func_g,/a/b/file_g2': 0.01, 'func_h,/c/d/file_h': 0.02, 'func_i,/c/d/file_i': 0.03}, 'func_g': {'func_j,/e/file_j': 0.4, 'func_m,/e/file_m': 0.6} } expected_pairwise_inclusive_statistics_reference = { 'func_f': {'func_g,/a/b/file_g': 0.1, 'func_h,/c/d/file_h': 0.2, 'func_i,/c/d/file_i': 0.3}, 'func_g': {'func_j,/e/file_j': 0.4} } result_pairwise_inclusive_statistics_test = \ utils.ParseCWPPairwiseInclusiveCountFile( self._pairwise_inclusive_count_test_file) result_pairwise_inclusive_statistics_reference = \ utils.ParseCWPPairwiseInclusiveCountFile( self._pairwise_inclusive_count_reference_file) self.assertDictEqual(result_pairwise_inclusive_statistics_test, expected_pairwise_inclusive_statistics_test) self.assertDictEqual(result_pairwise_inclusive_statistics_reference, expected_pairwise_inclusive_statistics_reference) if __name__ == '__main__': unittest.main()