90Days of DevOps
Automation Workflows through Python Concepts

Automation Workflows through Python Concepts

Muzammil Jan's photo
Muzammil Jan
·

3 min read

Task 1: Define a Function to Calculate Factorial

I started with defining a Python function to calculate the factorial of a number. Here's how the function looks:

def factorial(n):
    result = 1
    for i in range(1, n + 1):
        result *= i
    return result

Then, I tested it with different inputs to ensure its accuracy:

print(f"Factorial of 5: {factorial(5)}")  # Expected output: 120
print(f"Factorial of 0: {factorial(0)}")  # Expected output: 1
print(f"Factorial of 7: {factorial(7)}")  # Expected output: 5040

tested function.py

Task 2: Creating a Module for New Math Operations

Next, I worked on creating a module that handles different mathematical operations: division, modulus, and exponentiation. I created a file named math_operations.py and added the following functions:

# math_operations.py

def divide(a, b):
    return a / b

def modulus(a, b):
    return a % b

def exponentiate(a, b):
    return a ** b

After setting up the module, I tested these functions in a separate script:

Importing the math_operations module is crucial because it allows you to reuse the defined functions across different scripts without duplicating code.

import math_operations

print(f"Division: {math_operations.divide(10, 2)}")  # Expected output: 5.0
print(f"Modulus: {math_operations.modulus(10, 3)}")  # Expected output: 1
print(f"Exponentiation: {math_operations.exponentiate(2, 3)}")  # Expected output: 8

test result

Task 3: Handling Exceptions Gracefully

Used Python's try-except blocks, to handle potential errors like a file not being found or a division by zero without crashing.

try:
    with open('nonexistent_file.txt', 'r') as file:
        data = file.read()
except FileNotFoundError:
    print("The file was not found. Please check the filename and try again.")

try:
    result = 10 / 0
except ZeroDivisionError:
    print("Error: Division by zero is not allowed.")

exceptions.py

Task 4: Making HTTP GET Requests

In the provided code snippet, the script makes an HTTP GET request to retrieve data from a web API.

You can change this URL to any API or website that returns JSON data. For instance, you could use:

'https://api.github.com/users/octocat' (to get information about a GitHub user)

import requests

response = requests.get('https://api.github.com/users/octocat')  # Change this URL to any valid API endpoint
if response.status_code == 200:
    data = response.json()
    print(data)
else:
    print(f"Failed to retrieve data. Status code: {response.status_code}")

request.py

Task 5: Interacting with a Mock REST API

This task demonstrates how to interact with a REST API using Python, showcasing how to fetch and update data from a server.

By changing the URLs and data, you can interact with any REST API, making this a versatile skill for developers working with web services.

import requests

# API endpoint to update a specific post
url = 'https://jsonplaceholder.typicode.com/posts/1'

# Data to update in the record
updated_data = {
    "id": 1,
    "title": "Updated Title",
    "body": "Updated body content",
    "userId": 1
}

# Sending an HTTP PUT request to update the record
response = requests.put(url, json=updated_data)

# Check if the update was successful
if response.status_code == 200:
    print("Record updated successfully!")
    print(response.json())  # Display the updated record
else:
    print(f"Failed to update the record. Status code: {response.status_code}")

update successful

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