Chorus Function to Extract Text Using Regex

[amitdange15]

Build a helper function that simplifies extracting data from a string using a regular expression. This would be especially useful for parsing logs, validating formats, or extracting structured data from unstructured text.

• Takes in a text input and a regular expression.

• Returns the first matched group from the regex.

• If no match is found, return null.

String getText(String input, String regex)

Ex. getText("User: John, Age: 30", "User: (\\w+)") // Output: "John"

Benefit: This function simplifies data extraction from unstructured text, accelerating development and reducing errors in input parsing and validation workflows.

[chrispaulmoore]

Expanded Regex Functionality for Chorus Design

1. Core Extraction Function

getText(String input, String regex, [Integer groupIndex = 1])

• Takes a text input and a regular expression
• Returns the matched group from the regex (defaults to first group)
• Returns null if no match is found
• Example: getText("Name: John Doe, ID: 12345", "Name: ([\\w\\s]+), ID: (\\d+)", 2) // Returns "12345"

1. Advanced Extraction Options

getTextAll(String input, String regex)

• Returns an array of all matches (not just the first)
• Example: getTextAll("Tags: #home #garden #diy", "#(\\w+)") // Returns ["home", "garden", "diy"]

getNamedText(String input, String regex, String groupName)

• Support for named capture groups
• Example: getNamedText("Price: $19.99", "Price: \\$(?<amount>[\\d.]+)", "amount") // Returns "19.99"

1. Text Manipulation Functions

regexSplit(String input, String regex)

• Split string based on pattern matches
• Example: regexSplit("apple,orange;banana", "[,;]") // Returns ["apple", "orange", "banana"]

regexReplace(String input, String regex, String replacement)

• Replace matched patterns with replacement text
• Example: regexReplace("Call 555-123-4567", "(\\d{3})-(\\d{3})-(\\d{4})", "($1) $2-$3") // Returns "Call (555) 123-4567"

1. Configuration Options

RegexOptions object with support for:

• Case insensitivity
• Multiline mode
• Global matching
• Example: getText("USER: John", "user: (\\w+)", {caseInsensitive: true}) // Returns "John"

1. Pre-built Pattern Library Collection of common regex patterns:

emailPattern() // Returns regex for validating email addresses
phonePattern() // Returns regex for validating phone numbers
urlPattern() // Returns regex for validating URLs
datePattern() // Returns regex for common date formats