cibuildwheel-tensorflow.toml

[tool.cibuildwheel.linux]

manylinux-x86_64-image = "mtgupf/essentia-builds:manylinux2014_x86_64"

# Only support x86_64 for essentia-tensorflow.
build = "cp**-manylinux_x86_64"

# Skip selectors:
# - cp38: project does not target Python 3.8.
# - *t-*: free-threaded (no-GIL) builds. The Essentia C bindings rely on
#   legacy PyTypeObject definitions that fail to instantiate under
#   cp313t/cp314t ("Type does not define the tp_name field"). Re-enable
#   once the bindings are audited for free-threading compatibility.
# - *-musllinux*, *i686: not supported by our manylinux2014 build images.
skip = ["*cp38*", "*t-*", "*-musllinux*", "*i686"]

environment = { PROJECT_NAME="essentia-tensorflow", ESSENTIA_PROJECT_NAME="${PROJECT_NAME}", ESSENTIA_WHEEL_SKIP_3RDPARTY=1, ESSENTIA_WHEEL_ONLY_PYTHON=1 }

# Use system's Python3 to build Essentia.
before-all = [
  "python3 waf configure --with-gaia --with-tensorflow --build-static --static-dependencies --pkg-config-path=\"${PKG_CONFIG_PATH}\"",
  "python3 waf",
  "python3 waf install",
  # Monkey-patch package name.
  # We could have a separate pyproject.toml configuration, but the build backend does not accept custom configuration filepaths.
  "sed 's/^name *= *\"essentia\"$/name = \"essentia-tensorflow\"/' pyproject.toml > pyproject.toml.patched && mv pyproject.toml.patched pyproject.toml"
]

test-command = "python -c 'import essentia; import essentia.standard; import essentia.streaming; from essentia.standard import MonoLoader, MetadataReader, YamlInput, Chromaprinter, TensorflowPredict'"


[tool.cibuildwheel.macos]

# See linux section for skip rationale.
skip = ["*cp38*", "*t-*"]

environment = { PROJECT_NAME="essentia-tensorflow", ESSENTIA_PROJECT_NAME="${PROJECT_NAME}", ESSENTIA_WHEEL_SKIP_3RDPARTY=1, ESSENTIA_WHEEL_ONLY_PYTHON=1, MACOSX_DEPLOYMENT_TARGET=15.2 }

before-all = [
  "brew install pkg-config gcc readline sqlite gdbm freetype libpng",
  "brew install eigen libyaml fftw ffmpeg libsamplerate libtag",
  "brew install chromaprint",
  # Delocate checks for the min OS version (LC_BUILD_VERSION or C_VERSION_MIN_MACOSX).
  # Tensorflow bottle has a minimum target of 15.2 which is too new.
  # We could build from source as a workaround, however, it takes too much time on the CI worker.
  # To keep it simple, just use the bottles available for tensorflow.
  "brew install tensorflow",
  # ---
  # Building tensorflow from source:
  #"echo Checking available SDKs:",
  #"xcodebuild -showsdks",
  #"SDKROOT=$(xcrun --sdk macosx13.0 --show-sdk-path) brew install --build-from-source tensorflow",
  # ---
  # Override VIRTUAL_ENV set by cibuildwheel to ensure global install
  "VIRTUAL_ENV=/usr/local python waf configure --with-tensorflow --pkg-config-path=\"${PKG_CONFIG_PATH}\"",
  "python waf",
  "python waf install",
  # Monkey-patch package name.
  # We could have a separate pyproject.toml configuration, but the build backend does not accept custom configuration filepaths.
  "sed 's/^name *= *\"essentia\"$/name = \"essentia-tensorflow\"/' pyproject.toml > pyproject.toml.patched && mv pyproject.toml.patched pyproject.toml"
]

# FIXME Temporarily disable testing on macos-13 runner. The wheel is tagged as macosx_14_2 due to the Tensorflow dependency, so it can't be installed by pip ("not a supported wheel on this platform").
#test-command = "python -c 'import essentia; import essentia.standard; import essentia.streaming; from essentia.standard import MonoLoader, MetadataReader, YamlInput, Chromaprinter, TensorflowPredict'"


[[tool.cibuildwheel.overrides]]
select = "*macosx_arm64*"

# See linux section for skip rationale.
skip = ["*cp38*", "*t-*"]

environment = { PROJECT_NAME="essentia-tensorflow", ESSENTIA_PROJECT_NAME="${PROJECT_NAME}", ESSENTIA_WHEEL_SKIP_3RDPARTY=1, ESSENTIA_WHEEL_ONLY_PYTHON=1, ESSENTIA_MACOSX_ARM64=1, MACOSX_DEPLOYMENT_TARGET=15.4 }

before-all = [
  "brew install pkg-config gcc readline sqlite gdbm libpng",
  "brew install eigen libyaml fftw ffmpeg libsamplerate libtag",
  "brew install chromaprint",
  # Delocate checks for the min OS version (LC_BUILD_VERSION or C_VERSION_MIN_MACOSX).
  # Tensorflow bottle has a minimum target of 15.4 which is too new.
  # We could build from source as a workaround, however, it takes too much time on the CI worker.
  # To keep it simple, just use the bottles available for tensorflow.
  "brew install tensorflow",
  # ---
  # Building tensorflow from source:
  #"echo Checking available SDKs:",
  #"xcodebuild -showsdks",
  #"SDKROOT=$(xcrun --sdk macosx14.0 --show-sdk-path) brew install --build-from-source tensorflow",
  # ---
  # Override VIRTUAL_ENV set by cibuildwheel to ensure global install
  "VIRTUAL_ENV=/usr/local python waf configure --with-tensorflow --pkg-config-path=\"${PKG_CONFIG_PATH}\" --arch arm64 --no-msse",
  "python waf",
  "sudo python waf install",
  # Monkey-patch package name.
  # We could have a separate pyproject.toml configuration, but the build backend does not accept custom configuration filepaths.
  "sed 's/^name *= *\"essentia\"$/name = \"essentia-tensorflow\"/' pyproject.toml > pyproject.toml.patched && mv pyproject.toml.patched pyproject.toml"
]

# On Mac arm64, libavcodec.56.60.100, libavformat.56.40.101 and
# libavutil.54.31.100, depend on libSDL1.2-compat, which is a compatibility
# layer for SDL2. libSDL1.2-compat expects SDL2 to be installed in the default
# brew location (i.e., /opt/homebrew/opt/sdl2/lib), so the user would need to
# install it via brew manually. Alternativelly, we can manualy copy the SDL2
# libs into the wheel. This is a temporary solution, and in the long term we
# should move to FFmpeg > 2.X.
repair-wheel-command = [
  "delocate-wheel --require-archs {delocate_archs} -w {dest_dir} -v {wheel}",
  "mkdir -p {dest_dir}/essentia/.dylibs",
  "cp /opt/homebrew/opt/sdl2/lib/libSDL2*.dylib {dest_dir}/essentia/.dylibs",
  "wheel_rel=$(echo {wheel} | grep -o '[^/]*$')",
  "cd {dest_dir} && zip -u {dest_dir}/$wheel_rel essentia/.dylibs/*"
]