


Parsable CSV Strings in JavaScript
Parsing CSV with Commas in Data
In this situation, you require a solution that distinguishes commas within quotation marks from those separating values. A regular expression is the ideal tool for this task. Here's how you can approach this:
The Regex Solution
- Define the CSV String Structure: Determine the characteristics of a valid CSV string, including quoted strings, escaped characters, and data formatting.
- Regex for CSV Validation: Create a regex that validates whether a given string meets these criteria.
- Regex for Value Extraction: Construct a regex to match and extract individual values from the valid CSV string, considering quoted and unquoted strings and trailing commas.
Implementation
// Regex to validate a CSV string const re_valid = /^\s*(?:'[^'\]*(?:\[\S\s][^'\]*)*'|"[^"\]*(?:\[\S\s][^"\]*)*"|[^,'"\s\]*(?:\s+[^,'"\s\]+)*)\s*(?:,\s*(?:'[^'\]*(?:\[\S\s][^'\]*)*'|"[^"\]*(?:\[\S\s][^"\]*)*"|[^,'"\s\]*(?:\s+[^,'"\s\]+)*)\s*)*$/ // Regex to parse one value from a valid CSV string const re_value = /(?!\s*$)\s*(?:'([^'\]*(?:\[\S\s][^'\]*)*)'|"([^"\]*(?:\[\S\s][^"\]*)*)"|([^,'"\s\]*(?:\s+[^,'"\s\]+)*))\s*(?:,|$)/g // Function to parse CSV string into array const CSVtoArray = (text) => { // Validate CSV string if (!re_valid.test(text)) return null; const values = []; text.replace(re_value, (m0, m1, m2, m3) => { // Handle single-quoted values if (m1 !== undefined) values.push(m1.replace(/\'/g, "'")); // Handle double-quoted values else if (m2 !== undefined) values.push(m2.replace(/\"/g, '"')); // Handle unquoted values else if (m3 !== undefined) values.push(m3); return ''; }); // Handle special case of empty last value if (/,\s*$/.test(text)) values.push(''); return values; };
Example Usage
// Sample CSV string with commas in data const csvString = "'string, with comma', 23, 'lala'"; // Parse the CSV string into an array of values const values = CSVtoArray(csvString); console.log(values); // ['string, with comma', '23', 'lala']
This approach effectively parses the CSV string, preserving the integrity of quoted values and correctly handling commas within data fields. You can adjust the regex to customize the handling of specific CSV string variations or formatting requirements.
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