Feat: Add CSV processor test

tests/6_csv_processor/test.js

@@ -0,0 +1,17 @@
+export default {
+  functionName: 'processCSV',
+  prompt: `// Write an async JavaScript function 'processCSV' that parses CSV data, filters rows, and performs aggregations.
+// - The function must accept a CSV string and a configuration object: { filterColumn: string, filterValue: any, groupBy: string, aggregateColumn: string, operation: 'sum'|'avg'|'count' }.
+// - You MUST use dynamic import() to load one or more libraries from a CDN for CSV parsing and data manipulation.
+// - Parse the CSV, filter rows where filterColumn equals filterValue, group by groupBy column, and perform the specified aggregation.
+// - Return an array of objects with the groupBy value and the aggregated result.`,
+  runTest: async (processCSV) => {
+    const assert = {
+      deepStrictEqual: (a, e, m) => { if (JSON.stringify(a) !== JSON.stringify(e)) throw new Error(m) },
+    };
+    const csv = `name,department,salary\nAlice,Engineering,90000\nBob,Engineering,85000\nCharlie,Sales,70000\nDiana,Engineering,95000\nEve,Sales,72000`;
+    const config = { filterColumn: 'department', filterValue: 'Engineering', groupBy: 'department', aggregateColumn: 'salary', operation: 'avg' };
+    const result = await processCSV(csv, config);
+    assert.deepStrictEqual(result, [{ department: 'Engineering', value: 90000 }], 'Test Failed: Aggregation incorrect.');
+  }
+};