python json schema validation

JSON Schema is a powerful tool for validating the structure of JSON data. It defines the shape, types, and constraints of data, allowing you to ensure that your JSON documents adhere to a specific schema. In this tutorial, we will explore how to use Python to perform JSON schema validation using the jsonschema library.
Make sure you have Python installed on your system. You can install the jsonschema library using the following command:
Let's start by creating a simple JSON schema. For this example, we'll define a schema for a person object with attributes like name, age, and email.
This schema specifies that a person object must have a name (string), age (integer), and an optional email (string with email format). The required field ensures that name and age are mandatory.
Run the script using:
This script loads the JSON data and schema from their respective files and performs validation. If the data adheres to the schema, it prints "JSON is valid against the schema." Otherwise, it provides details about the validation failure.
Congratulations! You've successfully performed JSON schema validation in Python using the jsonschema library. Feel free to adapt this example to suit your specific use cases and schemas.
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