feat(frontend): add computeNumericSeries helper

2026-05-01 07:51:22 -04:00
parent 0b83795665
commit b9b8a4ef1d
2 changed files with 86 additions and 0 deletions
@@ -230,3 +230,36 @@ export function extractNumber(str) {
  const m = String(str).match(/-?\d+(\.\d+)?/);
  return m ? parseFloat(m[0]) : null;
 }
+
+/**
+ * Build a numeric-vs-x series for a numerical bucket.
+ *
+ * @param {object[]} rows       - Parsed CSV rows
+ * @param {string}   xColName   - Column to plot on the x-axis (frame col, or timestamp as fallback)
+ * @param {string}   noteCol    - Column containing note values
+ * @param {object}   bucket     - { name, type:'numerical', notes: string[] }
+ * @returns {{points: {x:number,value:number,raw:string}[], avg:number|null, skipped:number, total:number, xLabel:string}}
+ */
+export function computeNumericSeries(rows, xColName, noteCol, bucket) {
+  const noteSet = new Set(bucket.notes);
+  const points = [];
+  let skipped = 0;
+  let total = 0;
+
+  for (const r of rows) {
+    const note = String(r[noteCol] ?? '').trim();
+    if (!noteSet.has(note)) continue;
+    total++;
+    const value = extractNumber(note);
+    const x = parseFloat(r[xColName]);
+    if (value == null || Number.isNaN(x)) { skipped++; continue; }
+    points.push({ x, value, raw: note });
+  }
+
+  points.sort((a, b) => a.x - b.x);
+  const avg = points.length === 0
+    ? null
+    : points.reduce((s, p) => s + p.value, 0) / points.length;
+
+  return { points, avg, skipped, total, xLabel: xColName };
+}