test(external): score 8 independent-source images, 0 false accepts

Eight images for sku_l04, sku_l07 and sku_l09 from six source domains, scored
through the shipped LocalLaneAdapter and DecisionPolicy against
stock-lopia-clean: 4 correct accepts, 4 abstains, no false accepts.

Leak-tested first: the highest template match of any image against
add/image6.jpg is 0.675, so none is a crop of the evaluation photo.

The result that matters is sku_l07. It has no enrolled image, and both its
images accept through the text lane alone - one reads ラッキー フヨネーズ, the
other the rear label's 製造者：丸和油脂株式会社 with 内容量：200g, which
together name the row 丸和油脂 ラッキーマヨネーズ 200g. The text lane's
coverage claim holds on data that was not used to build it.

The four l04 abstentions are correct behaviour: l04 is also unenrolled and its
reads are weak (one reads only コと旨 タ 味, another scores 0.379 against a
0.45 accept line).

Also records the l12 reconciliation, the Kewpie 450 g research, and two
reusable pan clips with 11 rejected candidates for a future Tier-3 replay.
Nothing here is Tier 2 or Tier 3 and every manifest says so.

recognization/data/external-eval/kewpie/_paypay.py

@@ -0,0 +1,45 @@
+"""PayPay Flea Market search/detail helper (customer photos, non-enrollment)."""
+import json
+import re
+import sys
+import urllib.parse
+
+import _fetch
+
+
+def search(query, limit=30):
+    """Return [(item_id, title, price)] from a PayPay flea-market search."""
+    h = _fetch.text("https://paypayfleamarket.yahoo.co.jp/search/" + urllib.parse.quote(query))
+    m = re.search(r'"items":\[(.*?)\]\}', h, re.S)
+    if not m:
+        return []
+    out = []
+    for blob in re.findall(r'\{"productID".*?\}', m.group(1)):
+        try:
+            d = json.loads(blob)
+        except json.JSONDecodeError:
+            continue
+        out.append((d.get("productID"), d.get("productName"), d.get("price")))
+        if len(out) >= limit:
+            break
+    return out
+
+
+def item_images(item_id):
+    """Return full-size image URLs for one PayPay flea-market item."""
+    h = _fetch.text("https://paypayfleamarket.yahoo.co.jp/item/" + item_id)
+    urls = re.findall(r'https://auctions\.c\.yimg\.jp/images\.auctions\.yahoo\.co\.jp/image/[^"\\ ]+?\.jpg', h)
+    seen = []
+    for u in urls:
+        if u not in seen:
+            seen.append(u)
+    return seen
+
+
+if __name__ == "__main__":
+    if sys.argv[1] == "search":
+        for row in search(sys.argv[2]):
+            print(row[0], "|", row[1], "|", row[2])
+    else:
+        for u in item_images(sys.argv[2]):
+            print(u)