"""Backward-compatible thin wrapper over the new recognizer.

The old API exposed `Recognition` (slot_id, value, score) and `recognize()`
returning slabs only. Existing CLI code (`__main__.py`) and tests use that
surface, so we keep it working by delegating to recognizer.py.

New code should call `recognizer.recognize_image()` / `recognize_file()`
directly for richer (kind, rotation, artifact) results.
"""

from __future__ import annotations

from dataclasses import dataclass
from typing import List, Optional, Tuple

from .recognizer import recognize_file


@dataclass
class Recognition:
    slot_id: str
    value: Optional[str]  # slab value, or None if empty/unknown/artifact
    score: float          # NCC score in [-1, 1]; higher = better


def recognize(
    screenshot_path: str,
    bbox: Tuple[int, int, int, int],
    slot_num: int = 34,
    empty_threshold: float = 35.0,  # ignored; kept for arg-compat
) -> List[Recognition]:
    """Recognize slabs in the inventory area of a screenshot (slabs only)."""
    cells = recognize_file(screenshot_path, bbox, slot_num=slot_num)
    out: List[Recognition] = []
    for c in cells:
        v = c.value if c.kind == "slab" else None
        out.append(Recognition(c.slot_id, v, c.score))
    return out


def recognized_values(recognitions: List[Recognition]) -> List[str]:
    return [r.value for r in recognitions if r.value is not None]