Embedded Python refers to the integration of the Python programming language into the InterSystems IRIS kernel, allowing developers to operate with data and develop business logic for server-side applications using Python.
I am looking to create a Python virtual environment (venv) so that my imported/installed python packages can be separate on different namespaces in IRIS. I am able to go and create an environment, activate it, and install packages, but I am not sure how to ensure that Embedded Python methods actually point to this virtual environment.
Is the best solution to just load the virtual environment at runtime, in each method? That seems like a bad solution. Has anyone run into this and found a good solution?
I got the PROTECT error while running functions. But, I could able to call the classmethods and methods in class definition with classMethodObject, classMethodValue etc.. from python. without any errors python code
I have an Embedded Python method, which is essentially a call to one third-party module.
Most of the time, the method takes <0.1 seconds to execute, but sometimes it takes 30 or 60 seconds.
The server is relatively idle (20-30% CPU load).
How can I debug this issue further? Ideally, I want to know where this library spends the time. The library is mainly Python code (it's boto3, so it's not a Python C API proxy library).
Just curious what the process is for debugging either a .py file that is uploaded to a specific namespace/location or a python classmethod defined in a .cls file.
My method can be run via the "Debug" breadcrumb but it doesnt hit breakpoints it just runs without a debugger. Also objectscript methods debug correctly
I'm currently facing an issue with a Python script in my IRISHealth environment and would appreciate your insights.
I've written a class method, `getTokenCount`, in Python, which uses the `tiktoken` module. However, when I run the script in the terminal using `do ##class(python.openaiUtils).getTokenCount("")`, I encounter the following error:
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