liveBook · Manning

JSON

As explained in Investing for Programmers

JSON is a text-based data interchange format that represents structured values using objects, arrays, and primitive values.

JSON is a text-based format for exchanging structured values through objects, arrays, and primitive values. In Python integrations, nested dictionaries can model JSON-compatible request payloads for REST APIs. section 9.2.2

A practical JSON workflow includes:

  • Representing page properties, block content, formatting, and metadata as nested key-value structures. section 9.2.2
  • Passing payloads to Notion with Python requests calls and checking returned HTTP status codes. section 9.2.2
  • Splitting long text into chunks before sending it because a write operation accepts at most 2,000 characters at once. section 9.2.2

Writing an LLM answer to Notion

A routine creates a page with a JSON-compatible title property, converts text into a paragraph block, and writes the prompt and generated answer in chunks. Failed writes stop the operation, while stored responses remain available for later fact-checking. section 9.2.2

def create_block(content : str) -> dict:
    return {
        "children": [
            {
                "object": "block",
                "type": "paragraph",
                "paragraph": {
                    "rich_text": [
                        {
                            "type": "text",
                            "text": {
                                "content": content,
                            },
                        }
                    ]
                },
            },
        ]
    }

Inspect the nested JSON-compatible dictionary used to represent a Notion paragraph block and its rich text content. section 9.2.2

How Investing for Programmers covers it

How deep it goes
Demonstrates nested payload construction, status validation, and chunked writes, but does not detail JSON syntax independently.
Examples
Uses page-property payloads, paragraph-block payloads, page-creation requests, and chunked text writes as concrete examples.
What it assumes
Assumes basic Python functions, dictionaries, HTTP requests, and API status codes while demonstrating payload construction directly.
What you can do after
Operate Notion integrations by constructing JSON-compatible payloads, sending them through REST calls, and handling write failures.
How it connects
Connects JSON with Python dictionaries, REST APIs, Notion, HTTP status codes, and large-language-model responses.

Also explained in

Compare how 35 books explain JSON →

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Investing for Programmers. The section links point to the parts of the book it draws on.