blob: 7b07645a090de6bbe9242fe63cd1978d8a2421d6 [file] [log] [blame]
#!/usr/bin/env python
# Copyright 2016 The Fuchsia Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import analyzer
import utils.file_util as file_util
class ModuleNameAnalyzer:
""" An Analyzer that outputs RAPPOR estimates of number of reports by module
name.
"""
def analyze(self, for_private_release=False):
''' Use RAPPOR analysis to output estimates for number of reports by module
name.
Args:
for_private_release {bool}: If True then in addition to doing the RAPPOR
decoding, Laplace noise is also added to the analyzed output. We use
different input, output and config files in this case.
'''
config_file = (file_util.RAPPOR_MODULE_NAME_PR_CONFIG if
for_private_release else file_util.RAPPOR_MODULE_NAME_CONFIG)
input_file = (file_util.MODULE_NAME_PR_SHUFFLER_OUTPUT_FILE_NAME if
for_private_release else
file_util.MODULE_NAME_SHUFFLER_OUTPUT_FILE_NAME)
output_file = (file_util.MODULE_NAME_PR_ANALYZER_OUTPUT_FILE_NAME if
for_private_release else
file_util.MODULE_NAME_ANALYZER_OUTPUT_FILE_NAME)
analyzer.analyzeUsingRAPPOR(input_file, config_file, output_file,
metric_name="module_pr" if for_private_release
else "module",
candidates_file_name=
file_util.MODULE_CANDIDATES_FILE_NAME,
for_private_release=for_private_release)