system and product image diff tool
This tool compares system and product image across models, and generate common.csv and diff.csv Here is example output - common.csv: filename, sha1sum, targets /system/a, da39a3ee5e, a;b;c - diff.csv: filename, sha1sum, targets /system/b, da39a3ee5e, a;b /system/c, 3f786850e3, a /system/c, 89e6c98d92, b;c Bug: 131273025 Test: m system_product_image_diff Test: system_product_image_diff -t model1 model2 -s system product Change-Id: Ie9cc368e0a6d26e956f1e27ebe683bea5e80465c
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102
vndk/tools/image-diff-tool/diff.py
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102
vndk/tools/image-diff-tool/diff.py
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#
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# Copyright (C) 2019 The Android Open Source Project
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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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import os
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import subprocess
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import sys
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from collections import defaultdict
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from concurrent import futures
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from glob import glob
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from operator import itemgetter
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import hashlib
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import argparse
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tpe = futures.ThreadPoolExecutor()
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def strip_and_sha1sum(filepath):
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def silent_call(cmd):
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return subprocess.call(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) == 0
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objdump = lambda: silent_call(["objdump", "-a", filepath])
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strip_all = lambda: silent_call(["llvm-strip", "--strip-all", "-keep-section=.ARM.attributes", filepath, "-o", filepath + ".tmp"])
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remove_build_id = lambda: silent_call(["llvm-strip", "-remove-section=.note.gnu.build-id", filepath + ".tmp", "-o", filepath + ".tmp.no-build-id"])
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def sha1sum(f):
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with open(f, 'rb') as fin:
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return hashlib.sha1(fin.read()).hexdigest()
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if objdump():
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try:
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if strip_all() and remove_build_id():
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return sha1sum(filepath + ".tmp.no-build-id")
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else:
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return sha1sum(filepath)
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finally:
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if os.path.exists(filepath + ".tmp"):
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os.remove(filepath + ".tmp")
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if os.path.exists(filepath + ".tmp.no-build-id"):
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os.remove(filepath + ".tmp.no-build-id")
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else:
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return sha1sum(filepath)
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def main(targets, search_paths):
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def get_target_name(path):
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return os.path.basename(os.path.normpath(path))
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artifact_target_map = defaultdict(list)
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for target in targets:
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def valid_path(p):
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if os.path.isdir(p) or not os.path.exists(p):
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return False
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for s in search_paths:
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if os.path.join(target, s).lower() + os.path.sep in p.lower():
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return True
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return False
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paths = [path for path in glob(os.path.join(
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target, "**", "*"), recursive=True) if valid_path(path)]
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def run(path):
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return strip_and_sha1sum(path), path[len(target):]
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results = map(futures.Future.result, [tpe.submit(run, p) for p in paths])
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for sha1, f in results:
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basename = os.path.split(os.path.dirname(f))[1] + os.path.basename(f)
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artifact_target_map[(sha1, basename)].append((get_target_name(target), f))
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def pretty_print(p, ts):
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assert(len({t for t, _ in ts}) == len(ts))
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return ";".join({f for _, f in ts}) + ", " + p[0][:10] + ", " + ";".join(map(itemgetter(0), ts)) + "\n"
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header = "filename, sha1sum, targets\n"
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common = sorted([pretty_print(p, ts)
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for p, ts in artifact_target_map.items() if len(ts) == len(targets)])
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diff = sorted([pretty_print(p, ts)
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for p, ts in artifact_target_map.items() if len(ts) < len(targets)])
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with open("common.csv", 'w') as fout:
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fout.write(header)
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fout.writelines(common)
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with open("diff.csv", 'w') as fout:
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fout.write(header)
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fout.writelines(diff)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(prog="system_product_image_diff", usage="system_product_image_diff -t model1 model2 model3 -s system product")
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parser.add_argument("-t", "--target", nargs='+', required=True)
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parser.add_argument("-s", "--search_path", nargs='+', required=True)
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args = parser.parse_args()
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if len(args.target) < 2:
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parser.error("The number of targets has to be at least two.")
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main(args.target, args.search_path)
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