py-profiler 0.1.1

A library to measure your method, function execution time.

PY Profiler

A library to measure your method, function execution time.

Usage

It comes with a really easy api to use, you can add profiler(name = None) decorator to any method or function you want to measure its execution time.

E.g:

from src.py_profiler import profiler


@profiler('hello')
def hello():
    print('hello')

Access Profiler

• Exec time is in milliseconds

1. View as a table

from py_profiler import profiling_service

print(profiling_service.as_table())

No	Name	Total Req	Pending Req	Total Exec Time	Last Exec Time	Highest Exec Time	Request Rate (req/sec)	Avg Time/Request (millis/req)
1	hello	4	0	0.046	0.005	0.029	86956.522	0.011

2. Integrate with Flask

• If you are using Flask to implement your Restful API. You can add profiler_blueprint to your Flash app.

E.g:

from flask import Flask
from waitress import serve
from py_profiler import profiler_blueprint

app = Flask(__name__)
app.register_blueprint(profiler_blueprint)

serve(
    app,
    host="0.0.0.0",
    port=8080
)

Then you can access the profiler page at: http://127.0.0.1:8080/profiler