Function parseTableColumn

scripts/docs-audit.ts:221–258

* Parses a markdown table and extracts values from the first column. * Handles backtick-wrapped names like `propName`. * * @param content - The full MDX file content * @param headerPattern - Regex to match the table header row * @returns Array of names extracted from the first data column

(content: string, headerPattern: RegExp)

 * @returns Array of names extracted from the first data column
 */
function parseTableColumn(content: string, headerPattern: RegExp): string[] {
  const names: string[] = [];
  const lines = content.split('\n');

  for (let i = 0; i < lines.length; i++) {
    const line = lines[i].trim();

    // Find a table header matching the pattern
    if (!headerPattern.test(line)) continue;

    // Skip the separator row (|---|---|...)
    const separatorIndex = i + 1;
    if (separatorIndex >= lines.length) break;
    const separatorLine = lines[separatorIndex].trim();
    if (!separatorLine.startsWith('|') || !separatorLine.includes('---')) break;

    // Parse data rows
    for (let j = separatorIndex + 1; j < lines.length; j++) {
      const dataLine = lines[j].trim();
      if (!dataLine.startsWith('|')) break; // End of table

      const cells = dataLine
        .split('|')
        .map((c) => c.trim())
        .filter((c) => c.length > 0);

      if (cells.length > 0) {
        // Strip backticks from the name
        const name = cells[0].replace(/`/g, '').trim();
        if (name && !name.startsWith('---')) {
          names.push(name);
        }
      }
    }
  }

  return names;
}

/**
 * Extracts documented property names from the Properties table(s) in an MDX file.