jsonschema

Python Module - jsonschema Part 3

This post is part of a series on the Python module - jsonschema:

• Python Module - jsonschema Part 1
• Python Module - jsonschema Part 2
• Python Module - jsonschema Part 3

In Part 2 of the Python Module - jsonschema, we covered the complex usage of types like number, string, array, and object. However, most examples focused on validating individual data types, while in practice, JSON data can often involve a mixture of multiple data types. For example, an array might contain object elements, and an object might include nested objects. Consider the following JSON data:

[
    {
        "user_id": 1,
        "preference": {
            "cooking": True,
            "fishing": False,
        }
    },
    {
        "user_id": 1,
        "preference": {
            "cooking": True,
            "fishing": False,
        }
    },
]

This section will introduce how to write JSON Schemas that are more practical for real-world use and easier to maintain.

Posted on  Mar 28, 2018  in  Python Module/Package Recommendations  by  Amo Chen  ‐ 4 min read

Python Module - jsonschema Part 2

This article is a part of a series on the Python module - jsonschema:

• Python Module - jsonschema Part 1
• Python Module - jsonschema Part 2
• Python Module - jsonschema Part 3

In the previous article, Python Module - jsonschema Part 1, we introduced six data types defined by JSON Schema and covered some basic validation techniques.

In this post, we will dive deeper into more complex usages of several types, namely number, string, array, and object.

Posted on  Mar 23, 2018  in  Python Module/Package Recommendations  by  Amo Chen  ‐ 6 min read

Python Module - jsonschema Part 1

This article is part of a tutorial series about the Python module - jsonschema:

• Python Module - jsonschema Part 1
• Python Module - jsonschema Part 2
• Python Module - jsonschema Part 3

JSON is currently one of the mainstream data interchange formats. However, if you want to validate the format of JSON data in your program, you’ll need to spend some effort writing validation code. Fortunately, JSON Schema simplifies the process of validating JSON formats. If you’re using JSON as the data exchange format for an API, you might consider using JSON Schema for validation.

JSON Schema is a vocabulary that allows you to annotate and validate JSON documents.

Posted on  Mar 20, 2018  in  Python Module/Package Recommendations  by  Amo Chen  ‐ 5 min read