Truncating the locals in the error stack trace

[RishiMalhotra920]

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Example Code

import torch
import typer

app = typer.Typer()


@app.command()
def main(size: int = typer.Option(100, help="Size of the tensor")):
    """
    Create a large tensor and raise an exception to demonstrate output flooding.
    """
    # Create a large tensor
    large_tensor = torch.randn(size, size, size, size)
    large_tensor_2 = torch.randn(size, size, size, size)
    large_tensor_3 = torch.randn(size, size, size, size)

    # Function that will raise an exception
    def cause_exception(tensor):
        print("About to raise an exception. Local variables will include the large tensor.")
        raise ValueError("This exception will cause the large tensor to be printed")

    # Call the function that raises an exception
    cause_exception(large_tensor)


if __name__ == "__main__":
    app()

Description

you will need to run pip install torch

Try running the example code above using python app.py. You will notice that the large tensors flood the terminal stack trace. Is there a way to shorten the length of these local variable values in the stack trace. I don't want to turn these off completely but these long tensors in my code make the stack trace unreadable!

Alternatively, you can allow us to use custom rich Console variables with typer. I did some digging and the code below should do the trick. All we need is a way for us to use these custom Consoles with typer.

console = Console(width=80)
install(console=console, show_locals=True, max_frames=10, locals_max_length=5, locals_max_string=100)

Perhaps, we can add this in the __init__.py for typer.Typer() eg:

app = typer.Typer(rich_console=console)

I'd be satisfied with either of these options. The first approach (of including an option to truncate the length) seems easier to implement. Thanks a lot!!

Operating System

macOS

Operating System Details

No response

Typer Version

0.12.3

Python Version

3.10.14

Additional Context

Some images of the terminal ^

[RishiMalhotra920]

Nevermind, i found that the code i wrote using the rich library also does not truncate the pytorch variables in the right way so allowing custom consoles would not help. I'm curious if anyone else here has any solutions!

[Habush]

Facing similar issue. The current error output makes it difficult to navigate to the source of an error. Did you find a solution?

EDIT: Passing pretty_exceptions_enable=False when initializing typer object fixes it for me. Source