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One decorator for lazy debugging. Inserts print statements directly into your AST.

Project description

constable allows you to monitor the state of specified variables at each assignment operation, providing a step-by-step view of variable changes!

View the Github repository and the official docs.

How does it work?

The constable.trace decorator uses Python’s Abstract Syntax Tree (AST) in much the same way we add print`(s) to debug states. During runtime, it prepares and inserts `print statements into the function’s AST after every assignment operation (ast.Assign, ast.AugAssign and ast.AnnAssign), and then executes the modified code in a separate namespace with exec.

$ pip install constable

Tested for python 3.8 and above.

Usage :

Tracking variables in a function

import constable

@constable.trace('a', 'b')
def example(a, b):
    a = a + b
    c = a
    a = "Experimenting with the AST"
    b = c + b
    a = c + b
    return a

example(5, 6)

Output :

constable: example: line 5
    a = a + b
    a = 11
    type(a) = <class 'int'>

constable: example: line 7
    a = "Experimenting with the AST"
    a = Experimenting with the AST
    type(a) = <class 'str'>

constable: example: line 8
    b = c + b
    b = 17
    type(b) = <class 'int'>

constable: example: line 9
    a = c + b
    a = 28
    type(a) = <class 'int'>

constable: example: line 3 to 10
    args: (5, 6)
    kwargs: {}
    returned: 28
    execution time: 0.00018480 seconds

Monitor functions

import constable

@constable.trace()
def add(a, b):
    return a + b

add(5, 6)

Output :

constable: add: line 3 to 5
    args: (5, 6)
    kwargs: {}
    returned: 11
    execution time: 0.00004312 seconds

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