documentprocessing’s gists

documentprocessing / basic-jstree-from-html.html

Created May 6, 2025 00:34

Basic JSON Tree from JSON

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<title>Basic jsTree from HTML</title>
	<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/jstree/3.3.12/themes/default/style.min.css">
	<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.6.0/jquery.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/jstree/3.3.12/jstree.min.js"></script>
	</head>
	<body>

documentprocessing / handling-large-data-with-json-crack.js

Created April 30, 2025 02:43

Handling Large Data with JSON Crack

	const largeDataConfig = {
	maxDepth: 4, // Limit initial rendering depth
	lazyLoad: true, // Load nodes on demand
	previewThreshold: 50 // Show preview for arrays > 50 items
	};

	JsonCrack.draw('big-data-view', hugeJson, largeDataConfig);

documentprocessing / custom-styling-json-crack.js

Created April 30, 2025 02:39

Custom Styling with JSON Crack


	const options = {
	theme: 'dark',
	nodeStyle: {
	object: { fill: '#4CAF50' },
	array: { fill: '#2196F3' },
	value: { fill: '#FFC107' }
	},
	direction: 'TB' // Top-to-bottom layout
	};

documentprocessing / json-visualization-with-json-crack.js

Created April 30, 2025 02:28

Basic JSON Visualization with JSON Crack

	import { JsonCrack } from 'jsoncrack';

	const jsonData = {
	"user": {
	"name": "John Doe",
	"age": 30,
	"address": {
	"street": "123 Main St",
	"city": "Anytown"
	}

documentprocessing / read-metadata-using-pylightxl-api-python.py

Created January 29, 2025 12:22

Read Metadata Information from Excel XLSX file with PyLightXL API

	import pylightxl as xl

	# Load the Excel file
	file_path = "example.xlsx"
	workbook = xl.readxl(fn=file_path)

	# PyLightXL does not have built-in metadata extraction,
	# but you can check basic file-level information
	print("Excel Metadata Information:")
	print(f"File Name: {file_path}")

documentprocessing / read-metadata-from-excel-using-openpyxl.py

Created January 22, 2025 16:56

Read metadata information from Excel using OpenPyXL

	from openpyxl import load_workbook

	# Load the Excel workbook
	file_path = "example.xlsx"
	workbook = load_workbook(file_path)

	# Access the workbook's metadata
	properties = workbook.properties

	# Print metadata information

documentprocessing / write-pdf-metadata-with-pikepdf-api-python.py

Created January 14, 2025 15:02

Write PDF metadata with PikePDF API for Python

	import pikepdf

	# Load the PDF file
	file_path = "example.pdf"
	output_path = "updated_example.pdf"

	with pikepdf.Pdf.open(file_path) as pdf:
	# Access the document metadata
	metadata = pdf.docinfo

documentprocessing / read-pdf-metadata-with-pikepdf-python.py

Created January 14, 2025 14:54

Read PDF metadata with PikePDF API

	import pikepdf

	# Load the PDF file
	file_path = "example.pdf"
	with pikepdf.Pdf.open(file_path) as pdf:
	# Access the document metadata
	metadata = pdf.docinfo

	# Print each metadata key-value pair
	print("PDF Metadata:")

documentprocessing / write-metadata-to-audio-file-python-mutagen.py

Created January 9, 2025 05:17

Write Metadata Information to Audio File in Python

	from mutagen.easyid3 import EasyID3

	audio = EasyID3("example.mp3")
	audio["artist"] = "New Artist"
	audio["album"] = "New Album"
	audio.save()

documentprocessing / read-metadata-of-audio-files-mutagen-python-api.py

Created January 8, 2025 14:45

Reading Metadata of Audio Files in Python

	from mutagen.easyid3 import EasyID3

	audio = EasyID3("example.mp3")
	print(audio["artist"]) # Output: Artist name
	print(audio["album"]) # Output: Album name

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