MT-PY-PerformanceLogging-Ver1 0.0.1

A Mouritech package

This is Moruitech_LoggingPerformance Package

Project Title

Creating custom package for Logging Performance in python. This is the project ,Whenever you need to check the performance of the code like time taken by the code to perform some task .

Technologie

Python

Installation

Install my-project with Python INstall Mouritech__LoggingPerformance

  pip install MT-PY-PerformanceLogging-Ver1==0.0.1
  cd MT-PY-PerformanceLogging-Ver1==0.0.1

Steps

from Mouritech_LoggingPerformance.LogPerformance import  PerformanceLogger
logger = PerformanceLogger(__name__)

PerformanceLogger(

)

Authors

• @Sirisha

License

MIT

Used By

This project is used by the following Cases:

• Projects :-Logging Performance for checking the Time duration taken by the code to Excute Task/program .

from Mouritech_LoggingPerformance.LogPerformance import  PerformanceLogger
logger = PerformanceLogger(__name__)

PerformanceLogger(
  
)

Receiver Example

test code for our package

from Mouritech_LoggingPerformance.LogPerformance import  PerformanceLogger

import datetime
import time

import logging
# Create an instance of PerformanceLogger
logger = PerformanceLogger(__name__)
logging.basicConfig(level=logging.INFO,filename='normfunction.log' ,format='%(asctime)s - %(levelname)s - %(message)s')

# Use the logger to measure function performance
@logger.log_performance
# example code to check the loggingperformance 
# Diasum number =175
# Disarum Number = 1¹ + 7² + 5³ = 1 + 49 + 125= 175
# each digit is added with incrementation in power  and the addition of the powered value should be equal to actual input
def my_function():
    start_time = time.time()

    current_time = datetime.datetime.now()

    num=int(input('Enter Num value:'))

    result=0

    power=1

    for x in str(num):

        y=int(x)

        result= result + y**power

        power=power+1

    if num==result:

        print(f'The provide {num} is Disarum')

    else:

        print(f'The Provided {num} is Not a Disarum Number')

    # time sleep function is used to add delay in the execution of a program

    duration_to_add = datetime.timedelta(hours=0, minutes=1)

# # Estimate the end time by adding the duration to the current time

    ended_time = current_time  + duration_to_add
    end_time = time.time()
    elapsed_time = end_time - start_time
    logging.info(f'Code execution completed. Elapsed time: started at {current_time} {(start_time *10**3):.4f}  ended at {ended_time} {(end_time *10**3):.4f} = {elapsed_time:.4f} seconds')

# Call the function

my_function()

Example:- 2

import time
import logging
# Create an instance of PerformanceLogger
logger = PerformanceLogger(__name__)
logging.basicConfig(level=logging.INFO, filename='decoresult.log', format='%(asctime)s - %(levelname)s - %(message)s')
def outer_addition(func):  #wrapped function
    @logger.log_performance
    def inner_addition(a, b):
        start_time = time.time()
        print("I'm in addition")
        sum_result = a + b
        print("Sum of", a, "and", b, "is", sum_result)
        print("Returning addition")
        func(sum_result, a)
        end_time = time.time()
        elapsed_time = end_time - start_time
        logging.info(f'Addition execution completed. Elapsed time: {elapsed_time} seconds')
    return inner_addition
def outer_subtraction(func):  #wrapped function
    @logger.log_performance
    def inner_substarction(a, b):
        start_time = time.time()
        print("I'm in subtraction")
        subtraction_result = a - b
        print("Subtraction of", a, "and", b, "is", subtraction_result)
        print("Returning subtraction")
        func(a, b)
        end_time = time.time()
        elapsed_time = end_time - start_time
        logging.info(f'Subtraction execution completed. Elapsed time: {elapsed_time} seconds')
    return inner_substarction
@logger.log_performance
@outer_addition
@logger.log_performance
@outer_subtraction
def mOperations(a, b):
    start_time = time.time()
    print("I'm in mOperations")
    print("mOperations execution completed")
    end_time = time.time()
    elapsed_time = end_time - start_time
    logging.info(f'mOperations execution completed. Elapsed time: {elapsed_time} seconds')
mOperations(15, 10)