Introduction
Welcome to the Python Operating System and System Lab, where we will transport you to the futuristic scenario of a space colony. In this advanced age, Earth has established a thriving space settlement on Mars, known as Ares Outpost. Your role is that of a pioneering cyber-farmer, a critical member of the colony responsible for managing the outpost's automated agricultural systems using Python.
The objective of this lab is to create robust Python scripts that interact with the operating system to ensure the smooth functioning of agricultural machinery and the underlying infrastructural software. You will accomplish tasks such as file manipulation, data logging, and system automation that are vital for the sustenance of the colony. Understand the importance of integrating Python with the operating system to achieve real-world objectives while making the scenario engaging.
Setting up the Environment
In this step, you will set up your project environment which forms the foundation for our cyber-farming operations. Ensuring that directory structures are organized is essential for maintaining efficient workflows.
Open a Python script named ~/project/farm_operations/environment_check.py which will verify if all agricultural machinery interfaces are online. Here is a basic template:
import os
def check_interfaces():
print("Checking machinery interfaces...")
## Example check (In reality, you would replace this with checks specific to your system)
os.system("ping -c 1 127.0.0.1")
if __name__ == "__main__":
check_interfaces()
Execute your script from the terminal:
python3 environment_check.py
You should see output indicating that the machinery interfaces are being checked, such as:
Checking machinery interfaces...
PING 127.0.0.1 (127.0.0.1) 56(84) bytes of data.
64 bytes from 127.0.0.1: icmp_seq=1 ttl=64 time=0.018 ms
--- 127.0.0.1 ping statistics ---
1 packets transmitted, 1 received, 0% packet loss, time 0ms
rtt min/avg/max/mdev = 0.018/0.018/0.018/0.000 ms
System Monitoring
After verifying the interfaces, it’s essential to monitor the system's performance to prevent any disruptions in operations. For this, we will log important system metrics to ensure everything runs optimally.
Open a Python script named system_monitor.py within farm_operations:
import os
def system_monitor():
print("Recording system metrics...")
os.system("top -b -n 1 > system_metrics.log")
if __name__ == "__main__":
system_monitor()
This script runs the top command in batch mode to collect system metrics and redirect them into a log file named system_metrics.log. Execute the script:
$ python3 system_monitor.py
Recording system metrics...
Check the contents of system_metrics.log to verify the successful logging of system data:
$ cat system_metrics.log
top - 00:33:14 up 15 days, 14:22, 0 users, load average: 0.04, 0.07, 0.10
Tasks: 16 total, 1 running, 15 sleeping, 0 stopped, 0 zombie
%Cpu(s): 6.2 us, 0.0 sy, 0.0 ni, 93.8 id, 0.0 wa, 0.0 hi, 0.0 si, 0.0 st
MiB Mem : 7802.7 total, 585.3 free, 3936.1 used, 3281.4 buff/cache
MiB Swap: 0.0 total, 0.0 free, 0.0 used. 3555.6 avail Mem
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
216 labex 20 0 657480 56304 38872 S 6.7 0.7 0:00.63 node
1 root 20 0 11200 3780 3508 S 0.0 0.0 0:00.02 init.sh
21 root 20 0 40812 27976 10540 S 0.0 0.4 0:00.22 supervisord
22 root 20 0 15420 9396 7760 S 0.0 0.1 0:00.01 sshd
23 labex 20 0 2632 972 880 S 0.0 0.0 0:00.00 dumb-init
24 labex 20 0 721668 63708 38596 S 0.0 0.8 0:00.56 node
41 labex 20 0 951088 106276 41152 S 0.0 1.3 0:06.74 node
167 labex 20 0 994340 134536 41504 S 0.0 1.7 0:07.99 node
189 labex 20 0 848976 51504 38352 S 0.0 0.6 0:00.18 node
233 labex 20 0 14392 6488 4604 S 0.0 0.1 0:00.37 zsh
403 labex 20 0 377336 70216 11228 S 0.0 0.9 0:02.21 python
430 labex 20 0 38268 25560 9832 S 0.0 0.3 0:00.17 python
435 labex 20 0 14396 6588 4652 S 0.0 0.1 0:00.17 zsh
863 labex 20 0 21156 9408 6076 S 0.0 0.1 0:00.01 python
864 labex 20 0 11200 3652 3388 S 0.0 0.0 0:00.00 sh
865 labex 20 0 14176 3576 3220 R 0.0 0.0 0:00.00 top
You will see an output similar to the top command within the terminal.
Summary
In this lab, we navigated through a scenario where Python's os_system module played a crucial role in administering a space colony's farming operations. Beginning with environment setup to system monitoring, the lab aimed to impart practical skills in creating scripts that manipulate and interact with the operating system. By holistically designing this lab, I emphasised the importance of Python in real-world applications and aimed to provide an engaging learning experience for beginners. Witnessing learners convert these scenarios into functioning code brings about a fulfilling sense of achievement.
