DorianandClaude Opus 4.6
04a175171b
- InteractiveTable.vue: sortable columns, row filter, CSV export - Extracts markdown tables from AI responses into structured data - Click column header to sort (asc/desc), numeric-aware - Filter input for live row filtering - Renders alongside regular chat markdown Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
50 lines
1.1 KiB
TypeScript
50 lines
1.1 KiB
TypeScript
/**
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* Extract markdown tables from text into structured data
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* for interactive table rendering.
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*/
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export interface TableData {
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headers: string[]
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rows: string[][]
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raw: string
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}
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// Matches a markdown table: header row, separator row, data rows
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const TABLE_RE = /^(\|[^\n]+\|)\n(\|[\s:|-]+\|)\n((?:\|[^\n]+\|\n?)+)/gm
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export function extractTables(text: string): TableData[] {
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const results: TableData[] = []
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let m: RegExpExecArray | null
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const re = new RegExp(TABLE_RE.source, TABLE_RE.flags)
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while ((m = re.exec(text)) !== null) {
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const headerLine = m[1]
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const dataBlock = m[3]
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const headers = parseRow(headerLine)
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const rows = dataBlock
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.trim()
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.split('\n')
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.map(parseRow)
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.filter((r) => r.length > 0)
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if (headers.length > 0 && rows.length > 0) {
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results.push({ headers, rows, raw: m[0] })
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}
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}
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return results
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}
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function parseRow(line: string): string[] {
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return line
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.replace(/^\|/, '')
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.replace(/\|$/, '')
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.split('|')
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.map((cell) => cell.trim())
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}
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export function hasTables(text: string): boolean {
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return TABLE_RE.test(text)
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}
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