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A more detailed stack trace that includes all local variables at each level can be achieved by utilizing the stack-snapshot library.
Firstly, use pip install stack-snapshot command to install this library, then just put one line in your code:

import stack_snapshot; stack_snapshot.init()

An example:

import stack_snapshot

def inner(x, y):
    return x / y

stack_snapshot.init()

x = 1; y = 0
print(inner(x, y))

When stack snapshotting is not enabled:

Traceback (most recent call last):
  File "PyStackSnapshot\test.py", line 9, in <module>
    print(inner(x,y))
  File "PyStackSnapshot\test.py", line 4, in inner
    if y == 0: raise ZeroDivisionError
ZeroDivisionError

After enabling stack snapshotting, it is easier and more convenient to to pinpoint the issue while knowing the values of x and y:

-------------------- Error: --------------------
Traceback (most recent call last):
  File "PyStackSnapshot\test.py", line 9, in <module>
    print(inner(x,y))
  File "PyStackSnapshot\test.py", line 4, in inner
    if y == 0: raise ZeroDivisionError
ZeroDivisionError

Local variables of inner (test.py):
x = 1
y = 0

Global variables of <module>:
__file__ = 'PyStackSnapshot\\test.py'
__name__ = '__main__'
...
inner    = <function inner at 0x03221810>
x        = 1
y        = 0

-----------------------------------------------

Exceptions can also be manually output:

import stack_snapshot

def inner(x, y):
    return x / y

stack_snapshot.init()
try:
    print(inner(1, 0))
except Exception as err:
    if hasattr(err, "stack_snapshot"):
        print("Stack depth: ", len(err.stack_snapshot)) # When taking snapshot is enabled, all exception objects automatically have a stack_snapshot attribute added
    stack_snapshot.trace_error()

It works by just modifying the __new__ method such as ValueError.__new__, or redirecting the function call to the exception class such as ValueError.

Additionally, traced variable information can be pasted into generative AI tools including ChatGPT to let them generate more precise codes.

More detailed usage and how it works can be seen here: PyStackSnapshot · GitHub, and I'm the developer of stack-snapshot library.

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