"""Jimeng / Dreamina visible watermark detector/localizer.

Jimeng (即梦AI, ByteDance) stamps generated images with a visible "★ 即梦AI" wordmark
in the bottom-right corner -- a near-white semi-transparent overlay, the same overlay
class as the Doubao text strip.

Detection matches the bundled glyph silhouette against the corner; removal is the
shared **localize -> fill** (the glyph-bbox :meth:`footprint_mask` feeds
``region_eraser``), NOT reverse-alpha. This is one of the three text-mark engines that
share :class:`remove_ai_watermarks._text_mark_engine.TextMarkEngine`; this module
supplies only Jimeng's tuned :class:`TextMarkConfig` (bottom-right corner,
``assets/jimeng_alpha.png`` -- the detection silhouette, rebuilt by
``scripts/visible_alpha_solve.py`` from the gray capture). Jimeng images are also caught
by the China TC260 AIGC metadata label, so this is the visible-mark *removal* path, not
a new ``identify`` signal.
"""
# The module-level _alpha_template / _glyph_silhouette / _template_match_score below
# are thin test-facing shims (imported by tests/), so pyright's src-only pass sees them
# as unused; the use is cross-module.
# pyright: reportUnusedFunction=false

from __future__ import annotations

from typing import TYPE_CHECKING, Any

from remove_ai_watermarks import _text_mark_engine
from remove_ai_watermarks._text_mark_engine import TextMarkConfig, TextMarkDetection, TextMarkEngine

if TYPE_CHECKING:
    from numpy.typing import NDArray

# Locate geometry as a fraction of image WIDTH (mark scales with width, bottom-right).
WM_WIDTH_FRAC = 0.27
WM_HEIGHT_FRAC = 0.092
MARGIN_RIGHT_FRAC = 0.008
MARGIN_BOTTOM_FRAC = 0.010

# Glyph appearance: a light, low-saturation gray brighter than the local background.
MAX_SATURATION = 55
LOGO_MIN_LUMA = 150
TOPHAT_DELTA = 12

# Shape-consistent detection. Threshold 0.45 cleanly separates real Jimeng marks
# (>=0.81) from the Doubao strip (0.21), so the two ByteDance marks do not cross-fire.
DETECT_MIN_COVERAGE = 0.02
DETECT_NCC_THRESHOLD = 0.45

# Detection-silhouette geometry, emitted by scripts/visible_alpha_solve.py from the
# gray capture at the captured width (sizes the silhouette for the detection match;
# removal is the template-free glyph-bbox footprint mask).
_ALPHA_NATIVE_WIDTH = 2048
_ALPHA_WIDTH_FRAC = 0.2021  # asset width / image width -- sizes the detection silhouette
_ALPHA_HEIGHT_FRAC = 0.0576

_CONFIG = TextMarkConfig(
    name="Jimeng",
    asset_name="jimeng_alpha.png",
    corner="br",
    margin_floor=4,
    width_frac=WM_WIDTH_FRAC,
    height_frac=WM_HEIGHT_FRAC,
    margin_x_frac=MARGIN_RIGHT_FRAC,
    margin_bottom_frac=MARGIN_BOTTOM_FRAC,
    max_saturation=MAX_SATURATION,
    logo_min_luma=LOGO_MIN_LUMA,
    tophat_delta=TOPHAT_DELTA,
    morph_open_size=5,
    detect_min_coverage=DETECT_MIN_COVERAGE,
    detect_ncc_threshold=DETECT_NCC_THRESHOLD,
    alpha_width_frac=_ALPHA_WIDTH_FRAC,
    alpha_height_frac=_ALPHA_HEIGHT_FRAC,
    min_gw=8,
)

JimengDetection = TextMarkDetection


def _alpha_template() -> NDArray[Any] | None:
    """The bundled Jimeng alpha template (float [0,1]), or None."""
    return _text_mark_engine.load_alpha_template(_CONFIG.asset_name)


def _glyph_silhouette() -> NDArray[Any] | None:
    """Binary "即梦AI" silhouette (255 = glyph) from the alpha map, or None."""
    return _text_mark_engine.glyph_silhouette(_CONFIG.asset_name)


def _template_match_score(box_mask: NDArray[Any], image_width: int) -> float:
    """TM_CCOEFF_NORMED of the Jimeng glyph silhouette against ``box_mask``."""
    return _text_mark_engine.template_match_score(box_mask, image_width, _CONFIG)


class JimengEngine(TextMarkEngine):
    """Detect/localize the visible Jimeng "★ 即梦AI" watermark (locate -> mask; mask feeds the fill)."""

    def __init__(self) -> None:
        super().__init__(_CONFIG)