Local OS monitoring client with Python - Revision history

413vhcu1lq0463ob at 16:16, 11 October 2024

2024-10-11T16:16:12Z

← Older revision		Revision as of 16:16, 11 October 2024
Line 6:		Line 6:
	* Root disk usage (percent)		* Root disk usage (percent)
	*All processes runing (PID, name, cpu usage, mem usage)		*All processes runing (PID, name, cpu usage, mem usage)
	IT consumes something around ~~80MB~~/day of storage,		IT consumes something around 10MB/day of storage,

	It's all saved on a CSV file named 'consume-metrics-YEAR-MONTH-DAY.csv' the csv structure is:		It's all saved on a CSV file named 'consume-metrics-YEAR-MONTH-DAY.csv' the csv structure is:

413vhcu1lq0463ob at 16:14, 11 October 2024

2024-10-11T16:14:44Z

← Older revision		Revision as of 16:14, 11 October 2024
Line 14:		Line 14:
	import datetime		import datetime
	import time		import time

			ITERATION_TIME = 10 # seconds

	while True:		while True:
Line 23:		Line 25:
	minute = momment.minute		minute = momment.minute
	second = momment.second		second = momment.second

	cpu = psutil.cpu_percent()		cpu = psutil.cpu_percent()
	ram = psutil.virtual_memory().percent		ram = psutil.virtual_memory().percent
	swap = psutil.swap_memory().percent		swap = psutil.swap_memory().percent
	root_disk = psutil.disk_usage('/').percent		root_disk = psutil.disk_usage('/').percent

			all_processes = list(psutil.process_iter(['pid', 'name']))
			sleeptime = ITERATION_TIME / len(all_processes)

	processes = []		processes = []
	for process in ~~psutil.process_iter(['pid', 'name'])~~:		for process in all_processes:
	try:		try:
	cpu_usage = process.cpu_percent(interval=0)		cpu_usage = process.cpu_percent(interval=sleeptime)
	memory_info = process.memory_info().rss		memory_info = process.memory_info().rss
	except Exception as e:		except Exception as e:
Line 37:		Line 44:
	processes.append(f"{process.info['pid']}-{process.info['name']}-{cpu_usage}-{memory_info}")		processes.append(f"{process.info['pid']}-{process.info['name']}-{cpu_usage}-{memory_info}")
	processes = '\|'.join(processes)		processes = '\|'.join(processes)

	print(f'{year}-{month}-{day},{hour}:{minute}:{second},{cpu},{ram},{swap},{root_disk},{processes}')		print(f'{year}-{month}-{day},{hour}:{minute}:{second},{cpu},{ram},{swap},{root_disk},{processes}')
	with open(f'consume-metrics-{year}-{month}-{day}.csv', 'a+') as logfile:		with open(f'consume-metrics-{year}-{month}-{day}.csv', 'a+') as logfile:
	logfile.write(f'{year}-{month}-{day},{hour}:{minute}:{second},{cpu},{ram},{swap},{root_disk},{processes}\n')		logfile.write(f'{year}-{month}-{day},{hour}:{minute}:{second},{cpu},{ram},{swap},{root_disk},{processes}\n')
	~~time.sleep(1)~~

413vhcu1lq0463ob at 16:03, 11 October 2024

2024-10-11T16:03:15Z

← Older revision		Revision as of 16:03, 11 October 2024
Line 6:		Line 6:
	* Root disk usage (percent)		* Root disk usage (percent)
	*All processes runing (PID, name, cpu usage, mem usage)		*All processes runing (PID, name, cpu usage, mem usage)
			IT consumes something around 80MB/day of storage,

	It's all saved on a CSV file named 'consume-metrics-YEAR-MONTH-DAY.csv' the csv structure is:		It's all saved on a CSV file named 'consume-metrics-YEAR-MONTH-DAY.csv' the csv structure is:

413vhcu1lq0463ob at 16:02, 11 October 2024

2024-10-11T16:02:40Z

← Older revision		Revision as of 16:02, 11 October 2024
Line 5:		Line 5:
	* Swap usage (percent)		* Swap usage (percent)
	* Root disk usage (percent)		* Root disk usage (percent)
	*		*All processes runing (PID, name, cpu usage, mem usage)

	It's all saved on a CSV file named 'consume-metrics-YEAR-MONTH-DAY.csv' the csv structure is:		It's all saved on a CSV file named 'consume-metrics-YEAR-MONTH-DAY.csv' the csv structure is:

413vhcu1lq0463ob at 16:01, 11 October 2024

2024-10-11T16:01:51Z

← Older revision		Revision as of 16:01, 11 October 2024
Line 5:		Line 5:
	* Swap usage (percent)		* Swap usage (percent)
	* Root disk usage (percent)		* Root disk usage (percent)
			*

	It's all saved on a CSV file named 'consume-metrics-YEAR-MONTH-DAY.csv' the csv structure is:		It's all saved on a CSV file named 'consume-metrics-YEAR-MONTH-DAY.csv' the csv structure is:
	year-month-day,hout:minute:second,cpu usage,ram usage,swap usage,root disk usage		year-month-day,hout:minute:second,cpu usage,ram usage,swap usage,root disk usage,process1 pid-process1 name-process1 cpu usage-process1 mem usage\|process2...
	Here is the script		Here is the script
	import psutil		import psutil
Line 25:		Line 26:
	swap = psutil.swap_memory().percent		swap = psutil.swap_memory().percent
	root_disk = psutil.disk_usage('/').percent		root_disk = psutil.disk_usage('/').percent
	print(f'{year}-{month}-{day},{hour}:{minute}:{second},{cpu},{ram},{swap},{root_disk}')		processes = []
			for process in psutil.process_iter(['pid', 'name']):
			try:
			cpu_usage = process.cpu_percent(interval=0)
			memory_info = process.memory_info().rss
			except Exception as e:
			print(f'ERROR : {e}')
			else:
			processes.append(f"{process.info['pid']}-{process.info['name']}-{cpu_usage}-{memory_info}")
			processes = '\|'.join(processes)
			print(f'{year}-{month}-{day},{hour}:{minute}:{second},{cpu},{ram},{swap},{root_disk},{processes}')
	with open(f'consume-metrics-{year}-{month}-{day}.csv', 'a+') as logfile:		with open(f'consume-metrics-{year}-{month}-{day}.csv', 'a+') as logfile:
	logfile.write(f'{year}-{month}-{day},{hour}:{minute}:{second},{cpu},{ram},{swap},{root_disk}\n')		logfile.write(f'{year}-{month}-{day},{hour}:{minute}:{second},{cpu},{ram},{swap},{root_disk},{processes}\n')
	time.sleep(1)		time.sleep(1)

413vhcu1lq0463ob: Created page with "This script monitores: * CPU usage (percent) * RAM usage (percent) * Swap usage (percent) * Root disk usage (percent) It's all saved on a CSV file named 'consume-metrics-YEAR-MONTH-DAY.csv' the csv structure is: year-month-day,hout:minute:second,cpu usage,ram usage,swap usage,root disk usage Here is the script import psutil import datetime import time while True: momment = datetime.datetime.now() year = momment.year month = momment.month day..."

2024-10-10T17:48:19Z

Created page with "This script monitores: * CPU usage (percent) * RAM usage (percent) * Swap usage (percent) * Root disk usage (percent) It's all saved on a CSV file named 'consume-metrics-YEAR-MONTH-DAY.csv' the csv structure is: year-month-day,hout:minute:second,cpu usage,ram usage,swap usage,root disk usage Here is the script import psutil import datetime import time while True: momment = datetime.datetime.now() year = momment.year month = momment.month day..."

New page

This script monitores:

* CPU usage (percent)
* RAM usage (percent)
* Swap usage (percent)
* Root disk usage (percent)

It's all saved on a CSV file named 'consume-metrics-YEAR-MONTH-DAY.csv' the csv structure is:
year-month-day,hout:minute:second,cpu usage,ram usage,swap usage,root disk usage
Here is the script
import psutil
import datetime
import time

while True:
momment = datetime.datetime.now()
year = momment.year
month = momment.month
day = momment.day
hour = momment.hour
minute = momment.minute
second = momment.second
cpu = psutil.cpu_percent()
ram = psutil.virtual_memory().percent
swap = psutil.swap_memory().percent
root_disk = psutil.disk_usage('/').percent
print(f'{year}-{month}-{day},{hour}:{minute}:{second},{cpu},{ram},{swap},{root_disk}')
with open(f'consume-metrics-{year}-{month}-{day}.csv', 'a+') as logfile:
logfile.write(f'{year}-{month}-{day},{hour}:{minute}:{second},{cpu},{ram},{swap},{root_disk}\n')
time.sleep(1)