Cannot install erdpy on macOS - failed building wheel for pynacl

Question

I'm trying to install erdpy on a macOS by following the official guide, I successfully managed to download erdpy-up and when I run it, I receive the following error:

File "/opt/homebrew/Cellar/[email protected]/3.8.12/Frameworks/Python.framework/Versions/3.8/lib/python3.8/distutils/dist.py", line 985, in run_command
cmd_obj.run()
File "setup.py", line 161, in run
   raise Exception("ERROR: The 'make' utility is missing from PATH")
Exception: ERROR: The 'make' utility is missing from PATH
----------------------------------------
ERROR: Failed building wheel for pynacl
Failed to build pynacl
ERROR: Could not build wheels for pynacl which use PEP 517 and cannot be installed directly
CRITICAL:installer:Could not install erdpy.

Right before that, I see:

Using legacy 'setup.py install' for cffi, since package 'wheel' is not installed.
Using legacy 'setup.py install' for pycryptodomex, since package 'wheel' is not installed.
Building wheels for collected packages: pynacl
  Building wheel for pynacl (PEP 517) ... error

Tried to install libsodium using brew but erdpy installation still failed.

Is there another way to install / build it?

Answer 1

I have make installed on my system. The log message is not very clear, but in the end I figured out how I can install erdpy on my Mac. First I installed libsodium:

brew install libsodium

and then I installed erdpy using pip3:

pip3 install --user --upgrade --no-cache-dir erdpy

Then erdpy -v returns

erdpy 1.0.18

Answer 2

Your error says you don't have the make utility installed.

Install it by executing

brew install make

in your terminal. Then retry the installation.

Answer 3

You could also activate the virtualenv with source ~/elrondsdk/erdpy-activateand then use pip3 install --upgrade --no-cache-dir erdpy.

Answer 4

If you have the M1 processor, it won't install on Mac. You will have to remote connect to a linux system. VS code has the ability to do this, or you could use parallels and run a linux VM locally.