Day 15/90DaysofDevOps 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 YAML file using Python, file services.yaml and read the contents to convert yaml to JSON.

        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

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Happy Learning🙂!!!