skbuild-conditional-scripts
Generic dynamic script metadata provider for scikit-build-core projects.
This micro-package provides a reusable metadata provider that can conditionally install entry point scripts based on environment variables. Originally developed for AFDKO to choose between installing a C++ binary or Python wrapper, it can be used by any scikit-build-core project that needs conditional entry point generation.
Features
- Data-driven: All script definitions live in
pyproject.toml, not code - Conditional installation: Install different scripts based on environment variables
- Generic: Can be reused by other projects with similar needs
- Simple: ~70 lines of code, easy to understand and maintain
Installation
pip install skbuild-conditional-scripts
Or include in your project locally using provider-path.
Quick Start
Add to your pyproject.toml:
[build-system]
requires = ["scikit-build-core", "skbuild-conditional-scripts"]
build-backend = "scikit_build_core.build"
[tool.scikit-build.metadata.scripts]
provider = "skbuild_conditional_scripts"
# Always installed scripts
scripts = {
"my-command" = "mypackage:main",
"my-tool" = "mypackage.tools:cli",
}
# Conditionally installed scripts (only when MY_ENV_VAR=ON)
conditional-scripts = {
"my-debug-tool" = "mypackage.debug:main",
}
condition-env-var = "MY_ENV_VAR"
condition-env-value = "ON"
Then build your project:
# Normal build - only base scripts installed
pip install .
# With condition - both base and conditional scripts installed
MY_ENV_VAR=ON pip install .
Use Cases
- Binary vs Python wrapper: Install C++ binary or Python wrapper based on build configuration
- Platform-specific commands: Different entry points for different platforms (via env vars)
- Debug builds: Install additional debug tools only when requested
- Optional features: Install extra commands when feature flags are enabled
How It Works
The provider is called during the metadata generation phase (before building). It:
- Reads configuration from
[tool.scikit-build.metadata.scripts] - Checks the specified environment variable
- Merges base scripts with conditional scripts if the condition matches
- Returns the combined dictionary to scikit-build-core
Note: This is a build-time tool. End users installing from PyPI wheels don't need it.
Documentation
- WHO_NEEDS_THIS.md - When is this provider needed?
- DEPLOYMENT.md - Deployment options and strategies
- CONTRIBUTING.md - Contributing to this project
- README_SUMMARY.md - Quick navigation guide
Example: AFDKO
AFDKO uses this provider to choose between a C++ binary and Python wrapper:
[tool.scikit-build.metadata.scripts]
provider = "skbuild_conditional_scripts"
scripts = {
# 30+ deprecated wrapper scripts always installed
"tx" = "afdko._deprecated:tx_wrapper",
"makeotf" = "afdko._deprecated:makeotf_wrapper",
# ... etc
}
conditional-scripts = {
# Python wrapper only when requested
"afdko" = "afdko.invoker:main"
}
condition-env-var = "AFDKO_COMMAND_USE_WRAPPER"
condition-env-value = "ON"
Normal builds install the fast C++ binary. When building in environments where the
C++ build fails, setting AFDKO_COMMAND_USE_WRAPPER=ON installs the Python wrapper instead.
Requirements
- Python >= 3.10
- scikit-build-core (as your build backend)
License
Apache License 2.0 - See LICENSE for details.
Support
This project is maintained by the Adobe Type team.
- Issues: GitHub Issues
- Discussions: Use issues for questions and discussions
- Contributing: See CONTRIBUTING.md
Related Projects
- scikit-build-core - Modern Python build backend for CMake
- AFDKO - Adobe Font Development Kit for OpenType
Metadata
Release files for skbuild-conditional-scripts 1.0.0
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| File | Size | Uploaded | Provenance | |
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| skbuild_conditional_scripts-1.0.0.tar.gz | 7.7 kB | Without provenance | Details |
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| File | Interpreter | ABI | Platform | Reset |
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| skbuild_conditional_scripts-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.1 kB
Release files / skbuild_conditional_scripts-1.0.0.tar.gz
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| Download URL | skbuild_conditional_scripts-1.0.0-py3-none-any.whl |
|---|---|
| Size | 8.4 kB |
| Tags | Python 3 |
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