Day 14/90DaysofDevOps Challenge- Python Libraries for DevOps

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

Python is a versatile programming language with an extensive collection of libraries that make it easier to develop various applications, from web development to data analysis, and more

?? JSON in Python :

• JSON stands for “JavaScript Object Notation”, A JSON file is a file format used for storing and exchanging data.
• JSON files are composed of key-value pairs, where the keys are strings and the values can be strings, numbers, arrays, objects, booleans, or null.
• It’s pretty easy to load a JSON object in Python. Python has a built-in package called JSON, which can be used to work with JSON data. It’s done by using the JSON module, which provides us with a lot of methods which among loads() and load() methods are gonna help us to read the JSON file.

 import json

  # JSON to Python object

  json_data = '{"name": "John", "age": 30}'
  python_obj = json.loads(json_data)
  print(python_obj) 
   # Output: {'name': 'John', 'age': 30}

  # Python object to JSON

  python_obj = {'name': 'John', 'age': 30}
  json_data = json.dumps(python_obj)
  print(json_data)  
  # Output: {"name": "John", "age": 30}         

?? YAML in Python:

• YAML(Yet Another Markup Language), stores the configuration file data in a serialized manner and is often used in data storage or transmission.
• The pyyaml library in Python allows you to work with YAML data.
• The yaml.load() method is used to read the YAML file. This method parses and converts the YAML object to a Python dictionary so that we can read the content easily.
• To convert a Python object to a YAML string, you can use the yaml.dump() function.

 import yaml

  # YAML to Python object
  yaml_data = '''
  name: John
  age: 30

  # Python object to YAML
  python_obj = {'name': 'John', 'age': 30}
  yaml_data = yaml.dump(python_obj)
  print(yaml_data)  
  # Output: "age: 30 name: John"         

Tasks1:

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

• Let’s start by creating a Python dictionary and writing it to a JSON file. JSON provides an organized and human-readable structure for data exchange.

TASK-2

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

• Now, we’ll read a JSON file, “services.json,” and extract the service names of each cloud service provider. The content of “services.json” is shown below:

 {
        "services": {
            "aws": {
                "name": "EC2"
            },
            "azure": {
                "name": "VM"
            },
            "gcp": {
                "name": "Compute Engine"
            }
        }
    }         

Make sure that the file ‘services.json’ is in the same folder as the python file you created, otherwise, you’ll get a file not found error when trying to read the json file.

TASK3:

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

YAML is another popular data serialization format. Let’s read “services.yaml” and convert its contents to JSON.

---
  services:
      aws:
          name: EC2
      azure:
          name: VM
      gcp:
          name: Compute Engine         

Thank you for reading. please do share and click the like?? button below to show your support.

Happy Learning??!!!