Skip to content

Instantly share code, notes, and snippets.

Created February 15, 2019 19:14
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
Star You must be signed in to star a gist
What would you like to do?
Script to analyze Swift usage in iOS or Mac apps
from pathlib import Path
import plistlib
import subprocess
import re
import csv
def app_uses_swift(path):
libswiftPath = path / 'Frameworks' / 'libswiftCore.dylib'
return libswiftPath.exists()
def is_executable(file_path):
file_info =["file", file_path], capture_output=True)
return 'Mach-O' in str(file_info.stdout)
def find_executable_in(path):
executables = [file for file in path.iterdir()
if is_executable(file)]
return None if len(executables) == 0 else executables[0]
def class_dump(executable_path):
header = str(["class-dump", executable_path], stdout=subprocess.PIPE, stderr=subprocess.DEVNULL).stdout)
return re.findall("@interface ([\w_]+)\s?:\s?(\w+)", header)
def is_apple_class(class_tuple):
prefixes = ["NS", "UI", "CA", "SCN", "SK", "CI", "AB", "ML", "GK", "AV"]
for prefix in prefixes:
pattern = re.compile(f'{prefix}[A-Z][a-z]+')
if pattern.match(class_tuple[0]):
return True
return False
def percentage_classes_in_swift(classes):
classes = [item for item in classes if not is_apple_class(item)]
if len(classes) == 0: return 0.0
swift_classes = [item for item in classes if item[0].startswith("_T")]
return float(len(swift_classes)) / float(len(classes))
def analyze_app(path):
results = {}
infoPlistPath = path / 'Info.plist'
with open(str(infoPlistPath.resolve()), 'rb') as infoPlistFile:
infoPlist = plistlib.load(infoPlistFile)
bundle_id = infoPlist['CFBundleIdentifier']
app_name = infoPlist.get('CFBundleDisplayName', infoPlist.get('CFBundleName', infoPlist['CFBundleIdentifier']))
print(f'analyzing {app_name} at {}')
results['app_name'] = app_name
results['bundle_id'] = bundle_id
results['sdk'] = infoPlist.get('DTSDKName')
results['deployment_target'] = infoPlist.get('MinimumOSVersion')
results['uses_swift'] = app_uses_swift(path)
executable = find_executable_in(path)
results['executable'] =
classes = class_dump(executable)
results['percentage_swift'] = percentage_classes_in_swift(classes)
results['main_binary_uses_swift'] = results['percentage_swift'] > 0
return results
apps = [path for path in Path.cwd().iterdir() if path.suffix == '.app']
with open('results.csv', mode='w', newline='') as csv_file:
fieldnames = ['app_name', 'bundle_id', 'sdk', 'deployment_target', 'uses_swift', 'percentage_swift', 'main_binary_uses_swift', 'executable']
writer = csv.DictWriter(csv_file, fieldnames=fieldnames)
writer.writerows(map(analyze_app, apps))
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment