Description:
profiledecorator 0.1.0
profile-decorator
Problem/Motivation
Find memory leaks in Python code quickly without significant code changes in a quickly digestible manner such that the root cause can be easily diagnosed.
Until open-telemetry Adds metrics API, I want a quick and dirty decorator that will give me the memory usage of the process in scope before and after a function is run.
Usage
# example.py
from profile_decorator import profile_decorator
profile_decorator.init()
@profile_decorator.profile_memory
def my_func():
print("hello, world")
if __name__ == "__main__":
my_func()
$ poetry run python example.py
hello, world
{
"start_time": "2021-08-29T13:20:31.435036",
"uss_memory_before": 6852608,
"end_time": "2021-08-29T13:20:31.435892",
"uss_memory_after": 6995968,
"lines": [
{
"filename": "/home/harry/projects/GitHub/hkiang01/profile-decorator/example.py",
"lineno": 7,
"size": 752,
"size_diff": 0
},
{
"filename": "/home/harry/projects/GitHub/hkiang01/profile-decorator/example.py",
"lineno": 12,
"size": 560,
"size_diff": 0
}
]
}
Design
The decorator will collect the following information:
name of function
filepath
line number
memory usage before function is run
timestamp when function is called
timestamp when function is finished
memory usage after function is run
It will expose this in json or other easily digestble format for reporting purposes.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
There are no reviews.
