"""What the falsely-accepted crops actually read, and what the text lane scores.

The advisory says crops 82-97 are Kewpie Mayonnaise 450g - a product the
catalog does not hold - and that no catalog row can therefore win the text
ranking, so the veto at DecisionPolicy.decide never fires. This prints the
reads and the scores that claim depends on.
"""
import csv
import sys

import cv2
import numpy as np

sys.path.insert(0, "code")
from identity_lanes import TextLane, carries_identity  # noqa: E402
from ocr import build_ocr_engine  # noqa: E402

INDICES = [73, 82, 83, 84, 86, 94, 95, 96, 97]

rows = []
with open("stock-lopia-clean/stock.csv", encoding="utf-8") as handle:
    for record in csv.reader(handle):
        if len(record) >= 2 and record[0].startswith("sku_"):
            rows.append({"sku_id": record[0], "product_name": record[1]})

engine = build_ocr_engine("vision")
lane = TextLane.from_catalog(rows, "stock-lopia-clean", ocr_engine=engine)

labels = {f["index"]: f for f in __import__("json").load(open("eval/labels/image6.json"))["facings"]}
image = cv2.imread("add/image6.jpg")

tiles = []
for index in INDICES:
    facing = labels[index]
    x1, y1, x2, y2 = facing["box"]
    crop = image[y1:y2, x1:x2]
    read = lane.read(crop)
    scores = lane.scores_from_text(read)
    top = sorted(scores.items(), key=lambda kv: -kv[1])[:3]
    print(f"#{index:>3} truth={facing['label']:<9} carries={carries_identity(read)}")
    print(f"      read: {read[:110]}")
    print(f"      text top: {[(s, round(v, 3)) for s, v in top]}")

    height, width = crop.shape[:2]
    scale = 260.0 / max(1, height)
    resized = cv2.resize(crop, (max(1, int(width * scale)), 260), interpolation=cv2.INTER_CUBIC)
    canvas = np.full((300, 220, 3), 255, np.uint8)
    canvas[30:290, : min(resized.shape[1], 220)] = resized[:, :220]
    cv2.putText(canvas, str(index), (6, 22), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
    tiles.append(canvas)

grid = np.vstack([np.hstack(tiles[:5]), np.hstack(tiles[5:])])
cv2.imwrite("data/evaluations/2026-09-29-session/scratch/fa_tiles.jpg", grid)
print("tile:", grid.shape)