"""
Manual smoke test for the intake pipeline using real book cover images
composited onto a synthetic platform, in place of real camera hardware.

Why: no camera is on hand yet (see AGENTS.md hardware section). Unit tests
use solid-color synthetic frames, which never exercise crop_to_book's real
contour detection against actual image content. This script fetches a
handful of public book cover images from the Open Library covers API,
composites each onto a synthetic "platform" background at small/medium/
large footprint sizes, and drives the real IntakeSession/Catalogue/
CaptureStrategy pipeline end to end -- the same modules run.py wires up,
just with synthetic frames standing in for CameraSource.

Not part of the pytest suite: it fetches over the network and its point
is human-visible verification (inspect the saved crops), not CI assertion.

Usage:
    .venv/bin/python scripts/synthetic_platform_smoke_test.py
"""
import shutil
import sys
import urllib.request
from pathlib import Path

import cv2
import numpy as np

sys.path.insert(0, str(Path(__file__).resolve().parent.parent))

from bookmark.capture_strategies.manual_button import ManualButtonStrategy
from bookmark.catalogue import Catalogue
from bookmark.session import IntakeSession
from bookmark.sizing import MarkerRegion

PLATFORM_SIZE = (800, 600)  # width, height
PLATFORM_COLOR = (210, 205, 195)  # BGR, light neutral background
CENTER = (PLATFORM_SIZE[0] // 2, PLATFORM_SIZE[1] // 2)

# Marker regions sit along the horizontal centerline at the edge of each
# size category's footprint. A book covers a marker once its half-width
# reaches that marker's offset from center.
MARKERS = [
    MarkerRegion(name="small_boundary", bucket="small", x=CENTER[0] + 65, y=CENTER[1] - 10, width=20, height=20),
    MarkerRegion(name="medium_boundary", bucket="medium", x=CENTER[0] + 115, y=CENTER[1] - 10, width=20, height=20),
    MarkerRegion(name="large_boundary", bucket="large", x=CENTER[0] + 190, y=CENTER[1] - 10, width=20, height=20),
]

# (half_width, half_height) footprints, chosen to straddle each marker boundary.
FOOTPRINTS = {
    "small": (90, 130),
    "medium": (140, 190),
    "large": (220, 280),
}

COVERS = {
    "small": "https://covers.openlibrary.org/b/isbn/9780141439518-L.jpg",  # Pride and Prejudice
    "medium": "https://covers.openlibrary.org/b/isbn/9780439708180-L.jpg",  # Harry Potter
    "large": "https://covers.openlibrary.org/b/isbn/9780062315007-L.jpg",  # The Alchemist
}


def make_reference_frame() -> np.ndarray:
    frame = np.full((PLATFORM_SIZE[1], PLATFORM_SIZE[0], 3), PLATFORM_COLOR, dtype=np.uint8)
    return frame


def fetch_cover(url: str, dest: Path) -> np.ndarray:
    req = urllib.request.Request(url, headers={"User-Agent": "bookmark-smoke-test/0.1"})
    with urllib.request.urlopen(req, timeout=15) as response:
        dest.write_bytes(response.read())
    image = cv2.imread(str(dest))
    if image is None:
        raise RuntimeError(f"Could not decode downloaded cover from {url}")
    return image


def composite_book(reference: np.ndarray, cover: np.ndarray, half_width: int, half_height: int) -> np.ndarray:
    frame = reference.copy()
    resized_cover = cv2.resize(cover, (half_width * 2, half_height * 2))
    x0 = CENTER[0] - half_width
    y0 = CENTER[1] - half_height
    frame[y0:y0 + half_height * 2, x0:x0 + half_width * 2] = resized_cover
    return frame


def main() -> None:
    work_dir = Path(__file__).resolve().parent.parent / ".smoke_test_run"
    if work_dir.exists():
        shutil.rmtree(work_dir)
    work_dir.mkdir()

    cache_dir = work_dir / "downloaded_covers"
    cache_dir.mkdir()

    reference = make_reference_frame()

    catalogue = Catalogue(work_dir / "catalogue.csv")
    strategy = ManualButtonStrategy()
    session = IntakeSession(
        catalogue=catalogue,
        strategy=strategy,
        reference_frame=reference,
        markers=MARKERS,
        captures_dir=work_dir / "captures",
    )

    results = []
    for expected_bucket, url in COVERS.items():
        print(f"Fetching {expected_bucket} cover from {url} ...")
        cover_path = cache_dir / f"{expected_bucket}.jpg"
        cover = fetch_cover(url, cover_path)

        half_w, half_h = FOOTPRINTS[expected_bucket]
        front_frame = composite_book(reference, cover, half_w, half_h)
        back_frame = composite_book(reference, cover, half_w, half_h)  # same cover, stands in for a back cover

        strategy.trigger()
        fired = session.observe_frame(front_frame)
        assert fired, f"front capture did not fire for {expected_bucket}"
        book_id = session.current_book_id

        strategy.trigger()
        fired = session.observe_frame(back_frame)
        assert fired, f"back capture did not fire for {expected_bucket}"

        session.start_next_book()

        row = next(r for r in catalogue.read_all() if r["book_id"] == book_id)
        actual_bucket = row["size_bucket"]
        status = "PASS" if actual_bucket == expected_bucket else "FAIL"
        results.append((expected_bucket, actual_bucket, status, book_id))

        print(f"  book_id={book_id}  expected={expected_bucket}  got={actual_bucket}  [{status}]")
        print(f"  front crop: {row['front_cropped_path']}")
        print(f"  back crop:  {row['back_cropped_path']}")

    print()
    print("=" * 60)
    all_pass = all(r[2] == "PASS" for r in results)
    for expected, actual, status, book_id in results:
        print(f"{status}: expected={expected:8s} got={actual:8s} book_id={book_id}")
    print("=" * 60)
    print(f"Artifacts written to: {work_dir}")
    print("Overall:", "ALL PASS" if all_pass else "SOME FAILED")

    if not all_pass:
        sys.exit(1)


if __name__ == "__main__":
    main()