feat: Erkennungs-Pipeline mit Barcode-Vorrang und OCR-Rueckfall

src/pipeline.js

@@ -0,0 +1,44 @@
+import { emptySpec, isUsable } from './spec.js';
+import { decodePartNumber } from './pn-decoder.js';
+import { extractFields } from './ocr-extract.js';
+
+async function safely(fn, fallback) {
+  try {
+    return await fn();
+  } catch {
+    return fallback;
+  }
+}
+
+/**
+ * Barcode zuerst, OCR nur als Rueckfallebene.
+ * @returns {Promise<{spec: object, source: 'barcode'|'ocr'|'none', confidence: 'green'|'yellow'|'red'}>}
+ */
+export async function recognize(frame, deps) {
+  const codes = await safely(() => deps.decodeBarcodes(frame), []);
+
+  let best = emptySpec();
+  for (const code of codes) {
+    const decoded = decodePartNumber(code);
+    if (isUsable(decoded)) {
+      return { spec: decoded, source: 'barcode', confidence: 'green' };
+    }
+    // Teilenummer merken, auch wenn das Schema unbekannt ist.
+    if (best.partNumber === null) best = decoded;
+  }
+
+  const text = await safely(() => deps.runOcr(frame), '');
+  const fromOcr = extractFields(text);
+
+  // Der Barcode ist die exaktere Quelle: seine Teilenummer gewinnt.
+  const merged = { ...fromOcr };
+  if (best.partNumber !== null) merged.partNumber = best.partNumber;
+  for (const field of ['capacityGb', 'formFactor', 'rank', 'speed']) {
+    if (merged[field] === null && best[field] !== null) merged[field] = best[field];
+  }
+
+  if (isUsable(merged)) {
+    return { spec: merged, source: 'ocr', confidence: 'yellow' };
+  }
+  return { spec: merged, source: 'none', confidence: 'red' };
+}