Unable to construct wheels for dependency-injector, a prerequisite for the installation of pyproject.toml-dependent projects

Seeking help with an error that keeps occurring while I attempt to install the "dependency-injector" package for my project,

(env) PS C:\Multi-Participants_Survey_Project-main-2\djangosurveybackend> pip install dependency-injector
Collecting dependency-injector
  Using cached dependency-injector-4.41.0.tar.gz (913 kB)
  Preparing metadata (setup.py) ... done
Collecting six<=1.16.0,>=1.7.0 (from dependency-injector)
  Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
Building wheels for collected packages: dependency-injector
  Building wheel for dependency-injector (setup.py) ... error
  error: subprocess-exited-with-error

  × python setup.py bdist_wheel did not run successfully.
  │ exit code: 1
  ╰─> [54 lines of output]
      // Numerous lines of detailed build process information

  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for dependency-injector
  Running setup.py clean for dependency-injector
Failed to build dependency-injector
ERROR: Could not build wheels for dependency-injector, which is required to install pyproject.toml-based projects

Unsure if this issue is tied to my current Python version (3.12), any assistance in resolving this matter would be greatly appreciated.

I have attempted to resolve this by using commands like pip install wheel, pip install pyproject-toml, pip install aiohttp. Additionally, I modified the installation command to pip3 install dependency-injector and

pip install dependency-injector==4.41.0
, but unfortunately, none of these attempts were successful.

Answer №1

dependency-injector is currently compatible with Python versions 2.7, and 3.5 to 3.11. Unfortunately, it does not yet support Python version 3.12. Click here for more information.

To work with projects that require a specific python version, you can install a supported version and use virtual environments. For example, you can install Python 3.11 and create a virtual environment for it. Then, simply run pip install dependency-injector within that environment.

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