7. Using Python on iOS

Authors:

Russell Keith-Magee (2024-03)

Python on iOS is unlike Python on desktop platforms. On a desktop platform, Python is generally installed as a system resource that can be used by any user of that computer. Users then interact with Python by running a python executable and entering commands at an interactive prompt, or by running a Python script.

On iOS, there is no concept of installing as a system resource. The only unit of software distribution is an «app». There is also no console where you could run a python executable, or interact with a Python REPL.

As a result, the only way you can use Python on iOS is in embedded mode - that is, by writing a native iOS application, and embedding a Python interpreter using libPython, and invoking Python code using the Python embedding API. The full Python interpreter, the standard library, and all your Python code is then packaged as a standalone bundle that can be distributed via the iOS App Store.

If you’re looking to experiment for the first time with writing an iOS app in Python, projects such as BeeWare and Kivy will provide a much more approachable user experience. These projects manage the complexities associated with getting an iOS project running, so you only need to deal with the Python code itself.

7.1. Python at runtime on iOS

7.1.1. iOS version compatibility

The minimum supported iOS version is specified at compile time, using the --host option to configure. By default, when compiled for iOS, Python will be compiled with a minimum supported iOS version of 13.0. To use a different minimum iOS version, provide the version number as part of the --host argument - for example, --host=arm64-apple-ios15.4-simulator would compile an ARM64 simulator build with a deployment target of 15.4.

7.1.2. Platform identification

When executing on iOS, sys.platform will report as ios. This value will be returned on an iPhone or iPad, regardless of whether the app is running on the simulator or a physical device.

Information about the specific runtime environment, including the iOS version, device model, and whether the device is a simulator, can be obtained using platform.ios_ver(). platform.system() will report iOS or iPadOS, depending on the device.

os.uname() reports kernel-level details; it will report a name of Darwin.

7.1.3. Standard library availability

The Python standard library has some notable omissions and restrictions on iOS. See the API availability guide for iOS for details.

7.1.4. Binary extension modules

One notable difference about iOS as a platform is that App Store distribution imposes hard requirements on the packaging of an application. One of these requirements governs how binary extension modules are distributed.

The iOS App Store requires that all binary modules in an iOS app must be dynamic libraries, contained in a framework with appropriate metadata, stored in the Frameworks folder of the packaged app. There can be only a single binary per framework, and there can be no executable binary material outside the Frameworks folder.

This conflicts with the usual Python approach for distributing binaries, which allows a binary extension module to be loaded from any location on sys.path. To ensure compliance with App Store policies, an iOS project must post-process any Python packages, converting .so binary modules into individual standalone frameworks with appropriate metadata and signing. For details on how to perform this post-processing, see the guide for adding Python to your project.

To help Python discover binaries in their new location, the original .so file on sys.path is replaced with a .fwork file. This file is a text file containing the location of the framework binary, relative to the app bundle. To allow the framework to resolve back to the original location, the framework must contain a .origin file that contains the location of the .fwork file, relative to the app bundle.

For example, consider the case of an import from foo.bar import _whiz, where _whiz is implemented with the binary module sources/foo/bar/_whiz.abi3.so, with sources being the location registered on sys.path, relative to the application bundle. This module must be distributed as Frameworks/foo.bar._whiz.framework/foo.bar._whiz (creating the framework name from the full import path of the module), with an Info.plist file in the .framework directory identifying the binary as a framework. The foo.bar._whiz module would be represented in the original location with a sources/foo/bar/_whiz.abi3.fwork marker file, containing the path Frameworks/foo.bar._whiz/foo.bar._whiz. The framework would also contain Frameworks/foo.bar._whiz.framework/foo.bar._whiz.origin, containing the path to the .fwork file.

When running on iOS, the Python interpreter will install an AppleFrameworkLoader that is able to read and import .fwork files. Once imported, the __file__ attribute of the binary module will report as the location of the .fwork file. However, the ModuleSpec for the loaded module will report the origin as the location of the binary in the framework folder.

7.1.5. Compiler stub binaries

Xcode doesn’t expose explicit compilers for iOS; instead, it uses an xcrun script that resolves to a full compiler path (e.g., xcrun --sdk iphoneos clang to get the clang for an iPhone device). However, using this script poses two problems:

  • The output of xcrun includes paths that are machine specific, resulting in a sysconfig module that cannot be shared between users; and

  • It results in CC/CPP/LD/AR definitions that include spaces. There is a lot of C ecosystem tooling that assumes that you can split a command line at the first space to get the path to the compiler executable; this isn’t the case when using xcrun.

To avoid these problems, Python provided stubs for these tools. These stubs are shell script wrappers around the underingly xcrun tools, distributed in a bin folder distributed alongside the compiled iOS framework. These scripts are relocatable, and will always resolve to the appropriate local system paths. By including these scripts in the bin folder that accompanies a framework, the contents of the sysconfig module becomes useful for end-users to compile their own modules. When compiling third-party Python modules for iOS, you should ensure these stub binaries are on your path.

7.2. Installing Python on iOS

7.2.1. Tools for building iOS apps

Building for iOS requires the use of Apple’s Xcode tooling. It is strongly recommended that you use the most recent stable release of Xcode. This will require the use of the most (or second-most) recently released macOS version, as Apple does not maintain Xcode for older macOS versions. The Xcode Command Line Tools are not sufficient for iOS development; you need a full Xcode install.

If you want to run your code on the iOS simulator, you’ll also need to install an iOS Simulator Platform. You should be prompted to select an iOS Simulator Platform when you first run Xcode. Alternatively, you can add an iOS Simulator Platform by selecting from the Platforms tab of the Xcode Settings panel.

7.2.2. Adding Python to an iOS project

Python can be added to any iOS project, using either Swift or Objective C. The following examples will use Objective C; if you are using Swift, you may find a library like PythonKit to be helpful.

To add Python to an iOS Xcode project:

  1. Build or obtain a Python XCFramework. See the instructions in iOS/README.rst (in the CPython source distribution) for details on how to build a Python XCFramework. At a minimum, you will need a build that supports arm64-apple-ios, plus one of either arm64-apple-ios-simulator or x86_64-apple-ios-simulator.

  2. Drag the XCframework into your iOS project. In the following instructions, we’ll assume you’ve dropped the XCframework into the root of your project; however, you can use any other location that you want by adjusting paths as needed.

  3. Drag the iOS/Resources/dylib-Info-template.plist file into your project, and ensure it is associated with the app target.

  4. Add your application code as a folder in your Xcode project. In the following instructions, we’ll assume that your user code is in a folder named app in the root of your project; you can use any other location by adjusting paths as needed. Ensure that this folder is associated with your app target.

  5. Select the app target by selecting the root node of your Xcode project, then the target name in the sidebar that appears.

  6. In the «General» settings, under «Frameworks, Libraries and Embedded Content», add Python.xcframework, with «Embed & Sign» selected.

  7. In the «Build Settings» tab, modify the following:

    • Build Options

      • User Script Sandboxing: No

      • Enable Testability: Yes

    • Search Paths

      • Framework Search Paths: $(PROJECT_DIR)

      • Header Search Paths: "$(BUILT_PRODUCTS_DIR)/Python.framework/Headers"

    • Apple Clang - Warnings - All languages

      • Quoted Include In Framework Header: No

  8. Add a build step that copies the Python standard library into your app. In the «Build Phases» tab, add a new «Run Script» build step before the «Embed Frameworks» step, but after the «Copy Bundle Resources» step. Name the step «Install Target Specific Python Standard Library», disable the «Based on dependency analysis» checkbox, and set the script content to:

    set -e
    
    mkdir -p "$CODESIGNING_FOLDER_PATH/python/lib"
    if [ "$EFFECTIVE_PLATFORM_NAME" = "-iphonesimulator" ]; then
        echo "Installing Python modules for iOS Simulator"
        rsync -au --delete "$PROJECT_DIR/Python.xcframework/ios-arm64_x86_64-simulator/lib/" "$CODESIGNING_FOLDER_PATH/python/lib/"
    else
        echo "Installing Python modules for iOS Device"
        rsync -au --delete "$PROJECT_DIR/Python.xcframework/ios-arm64/lib/" "$CODESIGNING_FOLDER_PATH/python/lib/"
    fi
    

    Note that the name of the simulator «slice» in the XCframework may be different, depending the CPU architectures your XCFramework supports.

  9. Add a second build step that processes the binary extension modules in the standard library into «Framework» format. Add a «Run Script» build step directly after the one you added in step 8, named «Prepare Python Binary Modules». It should also have «Based on dependency analysis» unchecked, with the following script content:

    set -e
    
    install_dylib () {
        INSTALL_BASE=$1
        FULL_EXT=$2
    
        # The name of the extension file
        EXT=$(basename "$FULL_EXT")
        # The location of the extension file, relative to the bundle
        RELATIVE_EXT=${FULL_EXT#$CODESIGNING_FOLDER_PATH/}
        # The path to the extension file, relative to the install base
        PYTHON_EXT=${RELATIVE_EXT/$INSTALL_BASE/}
        # The full dotted name of the extension module, constructed from the file path.
        FULL_MODULE_NAME=$(echo $PYTHON_EXT | cut -d "." -f 1 | tr "/" ".");
        # A bundle identifier; not actually used, but required by Xcode framework packaging
        FRAMEWORK_BUNDLE_ID=$(echo $PRODUCT_BUNDLE_IDENTIFIER.$FULL_MODULE_NAME | tr "_" "-")
        # The name of the framework folder.
        FRAMEWORK_FOLDER="Frameworks/$FULL_MODULE_NAME.framework"
    
        # If the framework folder doesn't exist, create it.
        if [ ! -d "$CODESIGNING_FOLDER_PATH/$FRAMEWORK_FOLDER" ]; then
            echo "Creating framework for $RELATIVE_EXT"
            mkdir -p "$CODESIGNING_FOLDER_PATH/$FRAMEWORK_FOLDER"
            cp "$CODESIGNING_FOLDER_PATH/dylib-Info-template.plist" "$CODESIGNING_FOLDER_PATH/$FRAMEWORK_FOLDER/Info.plist"
            plutil -replace CFBundleExecutable -string "$FULL_MODULE_NAME" "$CODESIGNING_FOLDER_PATH/$FRAMEWORK_FOLDER/Info.plist"
            plutil -replace CFBundleIdentifier -string "$FRAMEWORK_BUNDLE_ID" "$CODESIGNING_FOLDER_PATH/$FRAMEWORK_FOLDER/Info.plist"
        fi
    
        echo "Installing binary for $FRAMEWORK_FOLDER/$FULL_MODULE_NAME"
        mv "$FULL_EXT" "$CODESIGNING_FOLDER_PATH/$FRAMEWORK_FOLDER/$FULL_MODULE_NAME"
        # Create a placeholder .fwork file where the .so was
        echo "$FRAMEWORK_FOLDER/$FULL_MODULE_NAME" > ${FULL_EXT%.so}.fwork
        # Create a back reference to the .so file location in the framework
        echo "${RELATIVE_EXT%.so}.fwork" > "$CODESIGNING_FOLDER_PATH/$FRAMEWORK_FOLDER/$FULL_MODULE_NAME.origin"
     }
    
     PYTHON_VER=$(ls -1 "$CODESIGNING_FOLDER_PATH/python/lib")
     echo "Install Python $PYTHON_VER standard library extension modules..."
     find "$CODESIGNING_FOLDER_PATH/python/lib/$PYTHON_VER/lib-dynload" -name "*.so" | while read FULL_EXT; do
        install_dylib python/lib/$PYTHON_VER/lib-dynload/ "$FULL_EXT"
     done
    
     # Clean up dylib template
     rm -f "$CODESIGNING_FOLDER_PATH/dylib-Info-template.plist"
    
     echo "Signing frameworks as $EXPANDED_CODE_SIGN_IDENTITY_NAME ($EXPANDED_CODE_SIGN_IDENTITY)..."
     find "$CODESIGNING_FOLDER_PATH/Frameworks" -name "*.framework" -exec /usr/bin/codesign --force --sign "$EXPANDED_CODE_SIGN_IDENTITY" ${OTHER_CODE_SIGN_FLAGS:-} -o runtime --timestamp=none --preserve-metadata=identifier,entitlements,flags --generate-entitlement-der "{}" \;
    
  10. Add Objective C code to initialize and use a Python interpreter in embedded mode. You should ensure that:

  • UTF-8 mode (PyPreConfig.utf8_mode) is enabled;

  • Buffered stdio (PyConfig.buffered_stdio) is disabled;

  • Writing bytecode (PyConfig.write_bytecode) is disabled;

  • Signal handlers (PyConfig.install_signal_handlers) are enabled;

  • System logging (PyConfig.use_system_logger) is enabled (optional, but strongly recommended);

  • PYTHONHOME for the interpreter is configured to point at the python subfolder of your app’s bundle; and

  • The PYTHONPATH for the interpreter includes:

    • the python/lib/python3.X subfolder of your app’s bundle,

    • the python/lib/python3.X/lib-dynload subfolder of your app’s bundle, and

    • the app subfolder of your app’s bundle

Your app’s bundle location can be determined using [[NSBundle mainBundle] resourcePath].

Steps 8, 9 and 10 of these instructions assume that you have a single folder of pure Python application code, named app. If you have third-party binary modules in your app, some additional steps will be required:

  • You need to ensure that any folders containing third-party binaries are either associated with the app target, or copied in as part of step 8. Step 8 should also purge any binaries that are not appropriate for the platform a specific build is targeting (i.e., delete any device binaries if you’re building an app targeting the simulator).

  • Any folders that contain third-party binaries must be processed into framework form by step 9. The invocation of install_dylib that processes the lib-dynload folder can be copied and adapted for this purpose.

  • If you’re using a separate folder for third-party packages, ensure that folder is included as part of the PYTHONPATH configuration in step 10.

7.2.3. Testing a Python package

The CPython source tree contains a testbed project that is used to run the CPython test suite on the iOS simulator. This testbed can also be used as a testbed project for running your Python library’s test suite on iOS.

After building or obtaining an iOS XCFramework (See iOS/README.rst for details), create a clone of the Python iOS testbed project by running:

$ python iOS/testbed clone --framework <path/to/Python.xcframework> --app <path/to/module1> --app <path/to/module2> app-testbed

You will need to modify the iOS/testbed reference to point to that directory in the CPython source tree; any folders specified with the --app flag will be copied into the cloned testbed project. The resulting testbed will be created in the app-testbed folder. In this example, the module1 and module2 would be importable modules at runtime. If your project has additional dependencies, they can be installed into the app-testbed/iOSTestbed/app_packages folder (using pip install --target app-testbed/iOSTestbed/app_packages or similar).

You can then use the app-testbed folder to run the test suite for your app, For example, if module1.tests was the entry point to your test suite, you could run:

$ python app-testbed run -- module1.tests

This is the equivalent of running python -m module1.tests on a desktop Python build. Any arguments after the -- will be passed to the testbed as if they were arguments to python -m on a desktop machine.

You can also open the testbed project in Xcode by running:

$ open app-testbed/iOSTestbed.xcodeproj

This will allow you to use the full Xcode suite of tools for debugging.

7.3. App Store Compliance

The only mechanism for distributing apps to third-party iOS devices is to submit the app to the iOS App Store; apps submitted for distribution must pass Apple’s app review process. This process includes a set of automated validation rules that inspect the submitted application bundle for problematic code.

The Python standard library contains some code that is known to violate these automated rules. While these violations appear to be false positives, Apple’s review rules cannot be challenged; so, it is necessary to modify the Python standard library for an app to pass App Store review.

The Python source tree contains a patch file that will remove all code that is known to cause issues with the App Store review process. This patch is applied automatically when building for iOS.