Fix product cluster handling

src/brave/types/web/web_search_response.py

@@ -89,9 +89,13 @@ def video_results(self) -> List[str]:
         return _results.get("videos").get("results") if self.videos else []
 
     @property
-    def product_cluster(self) -> List[str]:
+    def product_cluster(self) -> List:
         """Return a list of product clusters."""
-        return [result.product_cluster for result in self._web_results if result.subtype == "product_cluster"][0]
+        clusters = []
+        for result in self._web_results:
+            if result.subtype == "product_cluster" and result.product_cluster:
+                clusters.extend(result.product_cluster)
+        return clusters
 
     def download_all_pdfs(self, path: str = "downloads") -> None:
         """Download PDFs for all search results."""
@@ -101,7 +105,7 @@ def download_all_pdfs(self, path: str = "downloads") -> None:
 
     def product_prices(self) -> List[int]:
         """Return a list of product prices."""
-        if len(self.product_cluster) == 0:
+        if not self.product_cluster:
             return [
                 float(result.product.price) for result in self._web_results if result.product and result.product.price
             ]
@@ -111,11 +115,13 @@ def product_prices(self) -> List[int]:
     def product_price_ranges(self) -> Tuple[int, int]:
         """Return a list of product price ranges."""
         prices = self.product_prices()
+        if not prices:
+            return (0, 0)
         return (min(prices), max(prices))
 
     def average_product_review_score(self) -> Optional[float]:
         """Return the average product review score out of 100."""
-        if len(self.product_cluster) == 0:
+        if not self.product_cluster:
             ratings = [
                 float(result.product.rating.ratingValue) / float(result.product.rating.bestRating)
                 for result in self._web_results

tests/unit/test_web_search_response.py

@@ -0,0 +1,29 @@
+import json
+
+from brave.types import WebSearchApiResponse
+
+
+def _load_response():
+    with open("tests/test_responses/blue_tack_minimal.json", "r") as f:
+        data = json.load(f)
+    return WebSearchApiResponse.model_validate(data)
+
+
+def test_product_cluster_empty():
+    response = _load_response()
+    assert response.product_cluster == []
+
+
+def test_product_prices_empty():
+    response = _load_response()
+    assert response.product_prices() == []
+
+
+def test_product_price_ranges_empty():
+    response = _load_response()
+    assert response.product_price_ranges() == (0, 0)
+
+
+def test_average_product_review_score_none():
+    response = _load_response()
+    assert response.average_product_review_score() is None