blob: fc0afff45832f02ef78e5167e24d001042cf727f [file] [log] [blame]
#
# Copyright (c) 2021 Project CHIP 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.
#
"""Collect memory information from gcc .su files."""
import os
import os.path
import re
from typing import IO
import pandas as pd # type: ignore
from memdf.df import DFs, StackDF
from memdf.util.config import Config, ConfigDescription
CONFIG: ConfigDescription = {}
def read_su(config: Config, infile: IO) -> StackDF:
columns = ['symbol', 'type', 'size', 'file', 'line']
rows = []
decoder = re.compile(
r"""^(?P<file>.+)
:(?P<line>\d+)
:(?P<column>\d+)
:(?P<symbol>.+)
[\t](?P<size>\d+)
[\t](?P<type>\w+)
""", re.VERBOSE)
for line in infile:
if match := decoder.match(line.strip()):
rows.append([
match.group('symbol'),
match.group('type'),
int(match.group('size')),
match.group('file'),
int(match.group('line')),
])
return StackDF(rows, columns=columns)
def read_file(config: Config, filename: str, method: str = None) -> DFs:
"""Read a single `.su` file."""
with open(filename, 'r') as fp:
return {StackDF.name: read_su(config, fp)}
def read_dir(config: Config, dirname: str, method: str = None) -> DFs:
"""Walk a directory reading all `.su` files."""
frames = []
su_re = re.compile(r".+\.su")
for path, dirnames, filenames in os.walk(dirname):
for filename in filenames:
if su_re.fullmatch(filename):
with open(os.path.join(path, filename), 'r') as fp:
frames.append(read_su(config, fp))
if frames:
df = StackDF(pd.concat(frames, ignore_index=True))
else:
df = StackDF()
return {StackDF.name: df}