How to Run bash scripts Using Python?

In case you use Linux you then would positively love the shell instructions.

And in the event you work with Python, you could have tried to automate issues. That’s one technique to save time. You may additionally have some bash scripts to automate issues.

Python is extra helpful to write down scripts than bash. And managing Python scripts is simple in comparison with bash scripts. You can see it troublesome to keep up the bash scripts as soon as it grows.

However what if you have already got bash scripts that you simply wish to run with Python?

Is there a technique to run the bash instructions and scripts in Python?

Sure, Python has a built-in module referred to as subprocess which is used to execute the instructions and scripts in Python scripts. Let’s examine the right way to run bash instructions and scripts in Python scripts intimately.

Run bash instructions

As you could have already seen the module subprocess is used to run the bash instructions and scripts. It supplies totally different strategies and courses for a similar.

There are primarily one methodology and one class you may know from the subprocess module. They’re stroll And pop. These two assist us to run the bash instructions in Python scripts. Let’s take a look at them one after the other.

subprocess.run()

The tactic subprocess.run() takes an inventory of strings as a positional argument. That is obligatory as a result of it has the bash command and arguments for it. The primary merchandise within the record is the title of the command and the remaining objects are the arguments for the command.

Let’s examine a fast instance.

import subprocess
subprocess.run(["ls"])

The above script lists all objects within the present working listing because the script lies. There are not any arguments to the command within the above script. We simply gave the bash command. We can provide further arguments to the ls command like -l, -a, -laand many others.

Let’s examine a fast instance with command arguments.

import subprocess
subprocess.run(["ls", "-la"])

The above command lists all recordsdata together with hidden recordsdata together with the permissions. We’ve given the argument la which reveals recordsdata and folders further data and hidden recordsdata.

We might make errors whereas writing the assignments. Errors will improve based on the errors. What if you wish to seize them and use them later? Sure, we are able to do this utilizing the key phrase argument stderr.

Let’s examine an instance.

import subprocess
outcome = subprocess.run(["cat", "sample.txt"], stderr=subprocess.PIPE, textual content=True)
print(outcome.stderr)

Ensure you haven’t got the named file instance.txt within the workbook. The worth for the key phrase argument stderr is PIPE which helps to return the error in an object. We will entry it later with the identical title. And the key phrase argument textual content helps inform the output to be a string.

Equally, we are able to seize the output of the command utilizing the powerful key phrase argument.

import subprocess
outcome = subprocess.run(["echo", "Hello, World!"], stdout=subprocess.PIPE, stderr=subprocess.PIPE, textual content=True)
print(outcome.stdout)

subprocess.run() – enter

You can provide enter to the instructions utilizing the enter key phrase argument. We are going to present enter in a string format. So we have to arrange the key phrase argument textual content Disagreeable True. By default it takes in bytes.

Let’s take a look at an instance.

import subprocess
subprocess.run(["python3", "add.py"], textual content=True, enter="2 3")

Within the above program, the Python script is add.py takes two numbers as enter. We have supplied the enter for the Python script utilizing the enter key phrase argument.

subprocess.Popen()

The category subprocess.Popen() extra superior than the tactic subprocess.run(). It provides us extra choices to run the instructions. We are going to create an occasion of the subprocess.Popen() and use it for numerous issues like realizing the standing of command execution, getting output, giving enter, and many others.,

There are a number of strategies of the category subprocess.Popen() that we have to know. Let’s take a look at them one after the other together with the code samples.

to attend

It’s used to attend for the execution of the command to finish. The next strains of the Python script won’t be executed till the earlier command written after the wait methodology. Let’s examine the instance.

import subprocess
course of = subprocess.Popen(["ls", "-la"])
print("Accomplished!")

Run the above code and observe the output. You will note the message Accomplished! printed earlier than the job is executed. We will keep away from it by the wait methodology. Let’s watch for the command to finish.

import subprocess
course of = subprocess.Popen(["ls", "-la"])
course of.wait()

print("Accomplished!")

Whenever you see the output for the code above, you may understand that wait actually works. The print job is executed after the execution of the job is accomplished.

to speak

The tactic talk is used to get the output, error and enter to the command. It returns a tuple with output and error respectively. Let’s examine an instance.

import subprocess
course of = subprocess.Popen(["echo", "Hello, World!"], stdout=subprocess.PIPE, stderr=subprocess.PIPE, textual content=True)
outcome = course of.talk()
print(outcome)

subprocess.Popen() – enter

We will not cross the enter to the category Popen right away. We have to use the key phrase argument referred to as normal to provide the enter to the command. The occasion of the category Popen will present us stdin object. It has a way referred to as write which is used to provide the enter to the command.

As we mentioned earlier, by default it should take inputs as bytes-like objects. So do not forget to set the key phrase argument textual content Disagreeable True whereas creating the occasion of Popen.

Let’s examine an instance.

import subprocess
course of = subprocess.Popen(["python3", "add.py"], stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, textual content=True)
course of.stdin.write("2 3")
course of.stdin.shut()
print(course of.stdout.learn())

bearing

The tactic ballot is used to verify if the execution of the command is accomplished or not. This methodology will return None if the command continues to be operating. Let’s examine an instance.

import subprocess
course of = subprocess.Popen(['ping', '-c 5', 'geekflare.com'], stdout=subprocess.PIPE, textual content=True)
whereas True:
    output = course of.stdout.readline()
    if output:
    	print(output.strip())
    outcome = course of.ballot()
    if outcome just isn't None:
        break

Within the code above, now we have the ping command with 5 requests. There may be an infinite loop that repeats till the execution of the command is accomplished. We used the tactic ballot to verify the standing of the command execution. If the tactic ballot returns a unique code than None, then the execution is full. And the infinite loop breaks.

Run bash scripts

We have seen two methods to run the instructions. Now let’s have a look at the right way to run the bash scripts in Python scripts.

The subprocess has a way referred to as cellphone name. This methodology is used to run the bash scripts. The tactic returns the exit code of the bash script. The default exit code for the bash scripts is 0. Let’s examine an instance.

Create a bash script referred to as observe.sh as follows.

#!/bin/bash

echo "Hey, World!"
exit 1

Now write a Python script and run the above bash script.

import subprocess
exit_code = subprocess.name('./observe.sh')
print(exit_code)

You’ll get the next output when you run the Python script above.

Hey, World!
1

Conclusion

We have seen the right way to run bash instructions and scripts in Python. You should use them to automate issues extra effectively.

Have enjoyable coding 👨‍💻

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