Apply pylint to build/soong/bloaty
1. Run black --line-length 80 -S build/soong/bloaty
to fix formatting
2. Annotate # pylint: disable=import-error to skip checks for imports.
The imports are provided by Soong during m <target>
Test: m bloaty_merger_test
Test: pylint --rcfile tools/repohooks/tools/pylintrc
build/soong/bloaty/bloaty_merger.py
build/soong/bloaty/bloaty_merger_test.py
Bug: 195738175
Change-Id: I4579a80203de41d48992424f264dd1cdbafc854c
diff --git a/bloaty/bloaty_merger.py b/bloaty/bloaty_merger.py
index 1034462..46ce57f 100644
--- a/bloaty/bloaty_merger.py
+++ b/bloaty/bloaty_merger.py
@@ -24,58 +24,63 @@
import csv
import gzip
+# pylint: disable=import-error
import ninja_rsp
import file_sections_pb2
BLOATY_EXTENSION = ".bloaty.csv"
+
def parse_csv(path):
- """Parses a Bloaty-generated CSV file into a protobuf.
+ """Parses a Bloaty-generated CSV file into a protobuf.
- Args:
- path: The filepath to the CSV file, relative to $ANDROID_TOP.
+ 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
+ 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.
+ """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. It will be compressed using
- gzip.
- """
- 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 gzip.open(output_proto, "wb") as output:
- output.write(metrics.SerializeToString())
+ 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. It will be compressed
+ using gzip.
+ """
+ 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 gzip.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)
+ 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()
+ main()
diff --git a/bloaty/bloaty_merger_test.py b/bloaty/bloaty_merger_test.py
index 9de049a..83680b9 100644
--- a/bloaty/bloaty_merger_test.py
+++ b/bloaty/bloaty_merger_test.py
@@ -14,6 +14,7 @@
import gzip
import unittest
+# pylint: disable=import-error
from pyfakefs import fake_filesystem_unittest
import bloaty_merger
@@ -21,46 +22,46 @@
class BloatyMergerTestCase(fake_filesystem_unittest.TestCase):
- def setUp(self):
- self.setUpPyfakefs()
+ def setUp(self):
+ self.setUpPyfakefs()
- def test_parse_csv(self):
- csv_content = "sections,vmsize,filesize\nsection1,2,3\n"
- self.fs.create_file("file1.bloaty.csv", contents=csv_content)
- pb = bloaty_merger.parse_csv("file1.bloaty.csv")
- self.assertEqual(pb.path, "file1")
- self.assertEqual(len(pb.sections), 1)
- s = pb.sections[0]
- self.assertEqual(s.name, "section1")
- self.assertEqual(s.vm_size, 2)
- self.assertEqual(s.file_size, 3)
+ def test_parse_csv(self):
+ csv_content = "sections,vmsize,filesize\nsection1,2,3\n"
+ self.fs.create_file("file1.bloaty.csv", contents=csv_content)
+ pb = bloaty_merger.parse_csv("file1.bloaty.csv")
+ self.assertEqual(pb.path, "file1")
+ self.assertEqual(len(pb.sections), 1)
+ s = pb.sections[0]
+ self.assertEqual(s.name, "section1")
+ self.assertEqual(s.vm_size, 2)
+ self.assertEqual(s.file_size, 3)
- def test_missing_file(self):
- with self.assertRaises(FileNotFoundError):
- bloaty_merger.parse_csv("missing.bloaty.csv")
+ def test_missing_file(self):
+ with self.assertRaises(FileNotFoundError):
+ bloaty_merger.parse_csv("missing.bloaty.csv")
- def test_malformed_csv(self):
- csv_content = "header1,heaVder2,header3\n4,5,6\n"
- self.fs.create_file("file1.bloaty.csv", contents=csv_content)
- with self.assertRaises(KeyError):
- bloaty_merger.parse_csv("file1.bloaty.csv")
+ def test_malformed_csv(self):
+ csv_content = "header1,heaVder2,header3\n4,5,6\n"
+ self.fs.create_file("file1.bloaty.csv", contents=csv_content)
+ with self.assertRaises(KeyError):
+ bloaty_merger.parse_csv("file1.bloaty.csv")
- def test_create_file_metrics(self):
- file_list = "file1.bloaty.csv file2.bloaty.csv"
- file1_content = "sections,vmsize,filesize\nsection1,2,3\nsection2,7,8"
- file2_content = "sections,vmsize,filesize\nsection1,4,5\n"
+ def test_create_file_metrics(self):
+ file_list = "file1.bloaty.csv file2.bloaty.csv"
+ file1_content = "sections,vmsize,filesize\nsection1,2,3\nsection2,7,8"
+ file2_content = "sections,vmsize,filesize\nsection1,4,5\n"
- self.fs.create_file("files.lst", contents=file_list)
- self.fs.create_file("file1.bloaty.csv", contents=file1_content)
- self.fs.create_file("file2.bloaty.csv", contents=file2_content)
+ self.fs.create_file("files.lst", contents=file_list)
+ self.fs.create_file("file1.bloaty.csv", contents=file1_content)
+ self.fs.create_file("file2.bloaty.csv", contents=file2_content)
- bloaty_merger.create_file_size_metrics("files.lst", "output.pb.gz")
+ bloaty_merger.create_file_size_metrics("files.lst", "output.pb.gz")
- metrics = file_sections_pb2.FileSizeMetrics()
- with gzip.open("output.pb.gz", "rb") as output:
- metrics.ParseFromString(output.read())
+ metrics = file_sections_pb2.FileSizeMetrics()
+ with gzip.open("output.pb.gz", "rb") as output:
+ metrics.ParseFromString(output.read())
if __name__ == '__main__':
- suite = unittest.TestLoader().loadTestsFromTestCase(BloatyMergerTestCase)
- unittest.TextTestRunner(verbosity=2).run(suite)
+ suite = unittest.TestLoader().loadTestsFromTestCase(BloatyMergerTestCase)
+ unittest.TextTestRunner(verbosity=2).run(suite)
