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- # Copyright 2021 Google Inc. All rights reserved.
- #
- # 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.
- """Bloaty CSV Merger
- Merges a list of .csv files from Bloaty into a protobuf. It takes the list as
- a first argument and the output as second. For instance:
- $ bloaty_merger binary_sizes.lst binary_sizes.pb
- """
- import argparse
- import csv
- import ninja_rsp
- import file_sections_pb2
- BLOATY_EXTENSION = ".bloaty.csv"
- def parse_csv(path):
- """Parses a Bloaty-generated CSV file into a protobuf.
- Args:
- path: The filepath to the CSV file, relative to $ANDROID_TOP.
- Returns:
- A file_sections_pb2.File if the file was found; None otherwise.
- """
- file_proto = None
- with open(path, newline='') as csv_file:
- file_proto = file_sections_pb2.File()
- if path.endswith(BLOATY_EXTENSION):
- file_proto.path = path[:-len(BLOATY_EXTENSION)]
- section_reader = csv.DictReader(csv_file)
- for row in section_reader:
- section = file_proto.sections.add()
- section.name = row["sections"]
- section.vm_size = int(row["vmsize"])
- section.file_size = int(row["filesize"])
- return file_proto
- def create_file_size_metrics(input_list, output_proto):
- """Creates a FileSizeMetrics proto from a list of CSV files.
- Args:
- input_list: The path to the file which contains the list of CSV files. Each
- filepath is separated by a space.
- output_proto: The path for the output protobuf.
- """
- metrics = file_sections_pb2.FileSizeMetrics()
- reader = ninja_rsp.NinjaRspFileReader(input_list)
- for csv_path in reader:
- file_proto = parse_csv(csv_path)
- if file_proto:
- metrics.files.append(file_proto)
- with open(output_proto, "wb") as output:
- output.write(metrics.SerializeToString())
- def main():
- parser = argparse.ArgumentParser()
- parser.add_argument("input_list_file", help="List of bloaty csv files.")
- parser.add_argument("output_proto", help="Output proto.")
- args = parser.parse_args()
- create_file_size_metrics(args.input_list_file, args.output_proto)
- if __name__ == '__main__':
- main()
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