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Day 15 Task: Python Libraries for DevOps🚀

Day 15 Task: Python Libraries for DevOps🚀

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sutish pradhan
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Table of contents

Today, let's dive into a crucial aspect of being a DevOps Engineer - reading JSON and YAML in Python. 🐍📚

Reading JSON and YAML in Python

  • As a DevOps Engineer, you should be able to parse files, be it txt, json, yaml, etc.

  • You should know what libraries one should use in Python for DevOps.

  • Python has numerous libraries like os, sys, json, yaml etc that a DevOps Engineer uses in day-to-day tasks.

💼Tasks : 1

Create a Dictionary in Python and write it to a json File.

import json

# Create a dictionary
python_dict = {
    'name': 'john',
    'age': 30,
    'city': 'calcutta'
}

# Write the dictionary to a JSON file
json_string = json.dumps(python_dict)

print(json_string)

💼Tasks : 2

Read a json file services.json kept in this folder and print the service names of every cloud service provider.

import json

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

    data = json.loads(json_file.read())
    print(("type: ", type(data)))
    print("aws:", data['services']["aws"]["name"])
    print("azure:", data['services']["azure"]["name"])
    print("gcp:", data['services']["gcp"]["name"])

💼Tasks : 3

Read YAML file using python, file services.yaml and read the contents to convert yaml to json

Before writeing the code we need to install PyYAML module in order to use yaml.load() function

pip install pyyaml

import yaml
from yaml.loader import SafeLoader

with open ("services.yaml") as yaml_file:
    data = yaml.load(yaml_file, Loader=SafeLoader)
    print(data)

Convert yaml to json :

import yaml
import json

with open ("services.json", "r") as json_file:
     data = yaml.safe_load(json_file)
print(data)

with open ("new.json", "w") as json_file1:
    json.dump(data,json_file1)

output=json.dumps(json.load(open('new.json')), indent=2)
print("json_file :\n",output)

📍 Conclusion :

In this blog, we explored working with JSON and YAML in Python using the json and PyYAML libraries. We covered tasks such as creating a dictionary and writing it to a JSON file, reading a JSON file and extracting specific information, and converting YAML data to JSON format. These techniques can be useful when dealing with configuration files or processing data in various applications.

Thank you for reading!

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