Hi @Paul Elliott,
I don’t know if it’s coincidence that we interact with each other sharing our technical thoughts. I always learn a lot when responding to your technical issues. This time, let me address your query regarding, “However others may have a better solution”
First, let me address topic regarding understanding virtual environments, When you activate a virtual environment, your shell’s context changes to use this isolated environment. The key challenge here is that when you run a script from MATLAB using `system()`, it may not maintain the context of the activated virtual environment unless explicitly defined. Based on your description, it seems that when you run your first Python script from MATLAB, it successfully accesses the “daqhats” module because it's being executed in an activated virtual environment. However, subsequent calls do not maintain this context, leading to the “ModuleNotFoundError”. This is a common issue when executing scripts from environments that require specific dependencies or configurations.
Now, your proposed solution of explicitly calling the Python interpreter from within the virtual environment in your “system()” command is indeed a valid approach. By specifying the full path to the Python executable in your virtual environment, I would sugest when each time you call your script, it runs in the correct context.Here is an example based on your solution:
% Define the path to your virtual environment's Python executable
python_executable = '/home/aset/environments/bin/python3';
% Define the path to your script
script_path = '/home/aset/daqhats/examples/python/mcc172/bert2.py';
% Call the script using system command
[status, cmdout] = system([python_executable ' ' script_path]);
% Check for errors
if status ~= 0
disp('Error executing script:');disp(cmdout);
else
disp('Script executed successfully.');end
So, the code snippet that I provided will capture both execution and error handling, providing feedback based on whether the script ran successfully or encountered issues. For future reference, I will suggest if you need to run multiple scripts back-to-back frequently, consider creating a wrapper Python script that sequentially calls each required function or module. This way, you only need to activate your virtual environment once at the start and for For complex projects involving multiple dependencies or libraries, consider using tools like `pipenv` or `conda`, which can help manage environments and dependencies more efficiently.
Since you mentioned limited resources for MCC DAQHATS with MATLAB, consider reaching out to community forums or groups focused on MATLAB-Python integration for troubleshooting specific errors encountered during execution, so when you are troubleshooting these kind of technical problems on your end, the technical team at Mathworks can work in parallel to resolve these issues which will help you not falling behind on your project. I just wanted to share my two cents. Hope this helps.
