Python Libraries for DevOps - JSON and YAML Handling

Hey everyone! 👋 Today's task in the DevOps journey involves handling JSON and YAML files in Python.

📘 Python Libraries :

json:

Purpose: Simplifies handling JSON data.
Usage: Effortless processing of JSON.
Why It Matters: Easy integration with web APIs, configuration files, and data interchange.

yaml:

Purpose: Makes YAML file handling a breeze.
Usage: Effortless management of YAML files.
Why It Matters: Smooth interaction with configuration files, particularly in DevOps tasks.

Tasks:

1. Writing to JSON:

Create a Python dictionary.
Use the json library to write it to a JSON file.

Code :-

import json

my_dict = {"cloud_provider": "AWS", "service": "EC2"} with open("output.json", "w") as json_file: json.dump(my_dict, json_file)

2. Reading JSON File:

Read a JSON file (services.json) containing cloud service provider information.
Extract and print the service names.

Code:-

with open("services.json", "r") as json_file: data = json.load(json_file)

for provider, service in data.items():

print(f"{provider}: {service}")

3. YAML to JSON:

Read a YAML file (services.yaml) and convert its contents to JSON.

Code:-

import yaml

with open("services.yaml", "r") as yaml_file: yaml_data = yaml.safe_load(yaml_file)

Assuming you have a function to convert YAML to JSON

json_data = convert_yaml_to_json(yaml_data) print(json_data)