82 lines
2.6 KiB
Python
82 lines
2.6 KiB
Python
# Copyright 2021 Google Inc. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Bloaty CSV Merger
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Merges a list of .csv files from Bloaty into a protobuf. It takes the list as
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a first argument and the output as second. For instance:
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$ bloaty_merger binary_sizes.lst binary_sizes.pb.gz
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"""
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import argparse
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import csv
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import gzip
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import ninja_rsp
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import file_sections_pb2
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BLOATY_EXTENSION = ".bloaty.csv"
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def parse_csv(path):
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"""Parses a Bloaty-generated CSV file into a protobuf.
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Args:
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path: The filepath to the CSV file, relative to $ANDROID_TOP.
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Returns:
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A file_sections_pb2.File if the file was found; None otherwise.
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"""
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file_proto = None
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with open(path, newline='') as csv_file:
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file_proto = file_sections_pb2.File()
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if path.endswith(BLOATY_EXTENSION):
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file_proto.path = path[:-len(BLOATY_EXTENSION)]
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section_reader = csv.DictReader(csv_file)
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for row in section_reader:
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section = file_proto.sections.add()
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section.name = row["sections"]
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section.vm_size = int(row["vmsize"])
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section.file_size = int(row["filesize"])
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return file_proto
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def create_file_size_metrics(input_list, output_proto):
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"""Creates a FileSizeMetrics proto from a list of CSV files.
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Args:
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input_list: The path to the file which contains the list of CSV files. Each
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filepath is separated by a space.
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output_proto: The path for the output protobuf. It will be compressed using
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gzip.
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"""
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metrics = file_sections_pb2.FileSizeMetrics()
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reader = ninja_rsp.NinjaRspFileReader(input_list)
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for csv_path in reader:
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file_proto = parse_csv(csv_path)
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if file_proto:
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metrics.files.append(file_proto)
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with gzip.open(output_proto, "wb") as output:
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output.write(metrics.SerializeToString())
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument("input_list_file", help="List of bloaty csv files.")
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parser.add_argument("output_proto", help="Output proto.")
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args = parser.parse_args()
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create_file_size_metrics(args.input_list_file, args.output_proto)
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if __name__ == '__main__':
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main()
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