| Name | MT-PY-Performancelogging-ver2 JSON |
| Version |
0.0.1
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| home_page | |
| Summary | A Mouritech package |
| upload_time | 2023-10-04 11:38:34 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.7 |
| license | |
| keywords |
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No requirements were recorded.
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# Mouritech Custome package on Performance Logging
## Package Name
### MT_PY_PerformanceLogging
''' 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 ,we will use this package in our module'''
## Author
* [Sirisha .v](siriteju343@gmail.com)
## Requirements
'''For running this, you need to have python3 installed on your system'''
## Debugging tools
'''supported tools pycharm ,Anakonda ,Visual Studio etc...
## Installation
Install my-project with Python
Install MT_PY_Performancelogging_ver2
### At command Promt
```cmd
pip install MT_PY_Performancelogging_ver2
cd MT_PY_PerformanceLogging_ver2
```
(Globally )
``` py
pip install MT_PY_Performancelogging_ver2
```
## Steps
Before using library, you need setup some things in your django project, please follow this steps
1. Create virtual Environment for our Project ,
2. Setup all required variables in your settings.py
#### At terminal :
```cmd
pip install MT_PY_Performancelogging_ver2
```
```py
# locally
from src.MT_PY_Performancelogging_ver2.MT_Performancelogger import MT_PerformanceLogging1
# globally
from MT_PY_Performancelogging.MT_Performance import MT_PerformanceLogging1
from MT_Performance import MT_PerformanceLogging1
MT_PerformanceLogging1(
)
```
### Receiver Example
```py
from src.MT_PY_Performancelogging_ver2.MT_Performancelogger import MT_PerformanceLogging1
# globally
from MT_PY_Performancelogging_ver2.MT_Performancelogger import MT_PerformanceLogging1
# test code for our package
#
import datetime
import time
import logging
# Create an instance of PerformanceLogger
logger = MT_PerformanceLogging1(__name__)
logging.basicConfig(level=logging.INFO,filename='normfunction.log' ,format='%(asctime)s - %(levelname)s - %(message)s')
# Use the logger to measure function performance
@logger.performance_log
# 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()
```
```log
2023-09-25 18:05:33,438 - INFO - Code execution completed. Elapsed time: started at 2023-09-25 18:05:30.695571 1695645330695.5710 ended at 2023-09-25 18:06:30.695571 1695645333436.9390 = 2.7414 seconds
2023-09-25 18:05:33,438 - INFO - Function 'my_function' executed in 2.7426 seconds
```
#### Example2:-
```py
from src.MT_PY_Performancelogging_ver2.MT_Performancelogger import MT_PerformanceLogging1
# globally
from MT_PY_Performancelogging_ver2.MT_Performancelogger import MT_PerformanceLogging1
import datetime
import time
import logging
# Create an instance of PerformanceLogger
logger = MT_PerformanceLogging1(__name__)
logging.basicConfig(level=logging.INFO, filename='decoresult.log', format='%(asctime)s - %(levelname)s - %(message)s')
def outer_addition(func): #wrapped function
@logger.performance_log
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.performance_log
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.performance_log
@outer_addition
@logger.performance_log
@outer_subtraction
@logger.performance_log
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)
```
#### output:-
```log
2023-09-25 18:12:08,428 - INFO - Function 'mOperations' executed in 0.0017 seconds
2023-09-25 18:12:08,428 - INFO - Subtraction execution completed. Elapsed time: 0.001699209213256836 seconds
2023-09-25 18:12:08,428 - INFO - Function 'inner_substarction' executed in 0.0017 seconds
2023-09-25 18:12:08,428 - INFO - Function 'wrapper' executed in 0.0017 seconds
2023-09-25 18:12:08,428 - INFO - Addition execution completed. Elapsed time: 0.003078937530517578 seconds
2023-09-25 18:12:08,428 - INFO - Function 'inner_addition' executed in 0.0031 seconds
2023-09-25 18:12:08,428 - INFO - Function 'wrapper' executed in 0.0031 seconds
```
Raw data
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"description": "# Mouritech Custome package on Performance Logging\r\n## Package Name \r\n### MT_PY_PerformanceLogging\r\n\r\n''' Performance in python.\r\nThis is the project ,Whenever you need to check the performance of the code like time taken by the code to perform some task ,we will use this package in our module'''\r\n\r\n\r\n## Author\r\n\r\n* [Sirisha .v](siriteju343@gmail.com)\r\n\r\n## Requirements \r\n'''For running this, you need to have python3 installed on your system'''\r\n\r\n\r\n## Debugging tools \r\n\r\n'''supported tools pycharm ,Anakonda ,Visual Studio etc...\r\n\r\n\r\n## Installation \r\n\r\nInstall my-project with Python\r\nInstall MT_PY_Performancelogging_ver2\r\n### At command Promt\r\n```cmd\r\n\r\n pip install MT_PY_Performancelogging_ver2\r\n cd MT_PY_PerformanceLogging_ver2\r\n``` \r\n (Globally )\r\n``` py\r\npip install MT_PY_Performancelogging_ver2\r\n\r\n```\r\n\r\n## Steps \r\n\r\n Before using library, you need setup some things in your django project, please follow this steps\r\n1. Create virtual Environment for our Project ,\r\n2. Setup all required variables in your settings.py\r\n\r\n#### At terminal :\r\n\r\n```cmd\r\n\r\npip install MT_PY_Performancelogging_ver2\r\n\r\n\r\n\r\n```\r\n\r\n```py\r\n# locally \r\n\r\nfrom src.MT_PY_Performancelogging_ver2.MT_Performancelogger import MT_PerformanceLogging1\r\n# globally \r\nfrom MT_PY_Performancelogging.MT_Performance import MT_PerformanceLogging1\r\nfrom MT_Performance import MT_PerformanceLogging1\r\n\r\nMT_PerformanceLogging1(\r\n\r\n)\r\n\r\n```\r\n\r\n### Receiver Example \r\n```py\r\n\r\nfrom src.MT_PY_Performancelogging_ver2.MT_Performancelogger import MT_PerformanceLogging1\r\n# globally \r\nfrom MT_PY_Performancelogging_ver2.MT_Performancelogger import MT_PerformanceLogging1\r\n# test code for our package \r\n# \r\n\r\nimport datetime\r\nimport time\r\n\r\nimport logging\r\n# Create an instance of PerformanceLogger\r\n\r\nlogger = MT_PerformanceLogging1(__name__)\r\nlogging.basicConfig(level=logging.INFO,filename='normfunction.log' ,format='%(asctime)s - %(levelname)s - %(message)s')\r\n\r\n# Use the logger to measure function performance\r\n@logger.performance_log\r\n# example code to check the loggingperformance \r\n# Diasum number =175\r\n# Disarum Number = 1\u00b9 + 7\u00b2 + 5\u00b3 = 1 + 49 + 125= 175\r\n# each digit is added with incrementation in power and the addition of the powered value should be equal to actual input\r\ndef my_function():\r\n start_time = time.time()\r\n\r\n current_time = datetime.datetime.now()\r\n\r\n num=int(input('Enter Num value:'))\r\n\r\n result=0\r\n\r\n power=1\r\n\r\n for x in str(num):\r\n\r\n y=int(x)\r\n\r\n result= result + y**power\r\n\r\n power=power+1\r\n\r\n if num==result:\r\n\r\n print(f'The provide {num} is Disarum')\r\n\r\n else:\r\n\r\n print(f'The Provided {num} is Not a Disarum Number')\r\n\r\n # time sleep function is used to add delay in the execution of a program\r\n\r\n duration_to_add = datetime.timedelta(hours=0, minutes=1)\r\n\r\n# # Estimate the end time by adding the duration to the current time\r\n\r\n ended_time = current_time + duration_to_add\r\n end_time = time.time()\r\n elapsed_time = end_time - start_time\r\n 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')\r\n\r\n# Call the function\r\n\r\nmy_function()\r\n```\r\n```log\r\n2023-09-25 18:05:33,438 - INFO - Code execution completed. Elapsed time: started at 2023-09-25 18:05:30.695571 1695645330695.5710 ended at 2023-09-25 18:06:30.695571 1695645333436.9390 = 2.7414 seconds\r\n2023-09-25 18:05:33,438 - INFO - Function 'my_function' executed in 2.7426 seconds\r\n```\r\n\r\n\r\n#### Example2:-\r\n```py\r\nfrom src.MT_PY_Performancelogging_ver2.MT_Performancelogger import MT_PerformanceLogging1\r\n# globally \r\nfrom MT_PY_Performancelogging_ver2.MT_Performancelogger import MT_PerformanceLogging1\r\n\r\nimport datetime\r\n\r\nimport time\r\nimport logging\r\n# Create an instance of PerformanceLogger\r\nlogger = MT_PerformanceLogging1(__name__)\r\nlogging.basicConfig(level=logging.INFO, filename='decoresult.log', format='%(asctime)s - %(levelname)s - %(message)s')\r\ndef outer_addition(func): #wrapped function\r\n @logger.performance_log\r\n def inner_addition(a, b):\r\n start_time = time.time()\r\n print(\"I'm in addition\")\r\n sum_result = a + b\r\n print(\"Sum of\", a, \"and\", b, \"is\", sum_result)\r\n print(\"Returning addition\")\r\n func(sum_result, a)\r\n end_time = time.time()\r\n elapsed_time = end_time - start_time\r\n logging.info(f'Addition execution completed. Elapsed time: {elapsed_time} seconds')\r\n return inner_addition\r\ndef outer_subtraction(func): #wrapped function\r\n @logger.performance_log\r\n def inner_substarction(a, b):\r\n start_time = time.time()\r\n print(\"I'm in subtraction\")\r\n subtraction_result = a - b\r\n print(\"Subtraction of\", a, \"and\", b, \"is\", subtraction_result)\r\n print(\"Returning subtraction\")\r\n func(a, b)\r\n end_time = time.time()\r\n elapsed_time = end_time - start_time\r\n logging.info(f'Subtraction execution completed. Elapsed time: {elapsed_time} seconds')\r\n return inner_substarction\r\n@logger.performance_log\r\n@outer_addition\r\n@logger.performance_log\r\n@outer_subtraction\r\n@logger.performance_log\r\ndef mOperations(a, b):\r\n start_time = time.time()\r\n print(\"I'm in mOperations\")\r\n print(\"mOperations execution completed\")\r\n end_time = time.time()\r\n elapsed_time = end_time - start_time\r\n logging.info(f'mOperations execution completed. Elapsed time: {elapsed_time} seconds')\r\nmOperations(15, 10)\r\n```\r\n#### output:-\r\n```log\r\n2023-09-25 18:12:08,428 - INFO - Function 'mOperations' executed in 0.0017 seconds\r\n2023-09-25 18:12:08,428 - INFO - Subtraction execution completed. Elapsed time: 0.001699209213256836 seconds\r\n2023-09-25 18:12:08,428 - INFO - Function 'inner_substarction' executed in 0.0017 seconds\r\n2023-09-25 18:12:08,428 - INFO - Function 'wrapper' executed in 0.0017 seconds\r\n2023-09-25 18:12:08,428 - INFO - Addition execution completed. Elapsed time: 0.003078937530517578 seconds\r\n2023-09-25 18:12:08,428 - INFO - Function 'inner_addition' executed in 0.0031 seconds\r\n2023-09-25 18:12:08,428 - INFO - Function 'wrapper' executed in 0.0031 seconds\r\n```\r\n",
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