🔧 Day 15 Task: Python Libraries for DevOps 🔧

Hey there, fellow DevOps Engineers! 🚀 Today, we'll dive into the world of Python libraries that make our lives easier when it comes to parsing files like txt, json, and yaml. 📂 Let's get started!

📝 Reading JSON and YAML in Python 📝

As DevOps Engineers, we often encounter scenarios where we need to handle configuration files, and two popular formats are JSON and YAML. Python provides us with a wealth of libraries to work with these file formats.

📘 JSON in Python 📘

JSON (JavaScript Object Notation) is widely used for data interchange. Python has a built-in library called 'json' 🐍 that makes working with JSON a breeze.

📋 Task 1: Creating a Dictionary and Writing it to a JSON File 📋

First things first, let's create a dictionary in Python and write it to a JSON file:

import json

# Create a sample dictionary
data = {
    "name": "John Doe",
    "occupation": "DevOps Engineer",
    "experience": "5 years",
    "skills": ["Python", "Docker", "Kubernetes"],
}

# Write the dictionary to a JSON file
with open("devops_engineer.json", "w") as file:
    json.dump(data, file)

Congratulations! You've successfully created a dictionary and stored it in a JSON file named 'devops_engineer.json'. 🎉

📘 Reading JSON Files in Python 📘

Now, let's move on to the next task.

📋 Task 2: Reading JSON File and Printing Cloud Service Providers 📋

Assuming you have a file named 'services.json' in the same folder, with the following content:

{
    "aws": "ec2",
    "azure": "VM",
    "gcp": "compute engine"
}

We can use the 'json' library to read the file and print the service names for each cloud provider:

# Read and print service names of every cloud service provider
with open("services.json", "r") as file:
    services = json.load(file)

for provider, service in services.items():
    print(f"{provider} : {service}")

🎉 Ta-da! You've successfully read the JSON file and printed the service names for each cloud service provider. AWS 🌩️ offers 'ec2', Azure ☁️ has 'VM', and GCP 🌐 provides 'compute engine'.

📗 YAML in Python 📗

YAML (YAML Ain't Markup Language) is another popular data serialization format used in configuration files. To work with YAML in Python, we'll use the 'PyYAML' library 🐍.

📋 Task 3: Reading YAML File and Converting it to JSON 📋

Assuming you have a file named 'services.yaml' in the same folder, with the following content:

aws: ec2
azure: VM
gcp: compute engine

We can use the 'PyYAML' library to read the YAML file and convert it to JSON:

import yaml

# Read YAML file and convert to JSON
with open("services.yaml", "r") as file:
    data = yaml.safe_load(file)

# Convert YAML to JSON
json_data = json.dumps(data)

print(json_data)

🎉 Fantastic! You've successfully read the YAML file and converted it to JSON format.

🚀 Wrapping Up 🚀

Today, we explored essential Python libraries for DevOps Engineers, including 'json' for JSON handling and 'PyYAML' for YAML processing. Armed with these tools, you're well-equipped to tackle various file parsing tasks in your day-to-day work. Happy coding! 😊👨‍💻👩‍💻

Stay curious, keep learning, and see you on the next task! 👋👋👋