"""确定性视觉提供者：同输入同输出、问卷驱动、枚举合法、工厂拒绝未知名。"""

from __future__ import annotations

import pytest

from packages.report.dimensions import DIMENSION_BY_KEY
from packages.report.vision import (
    BODY_SHAPES,
    FACE_SHAPES,
    SEASON_CODES,
    SKIN_TONES,
    STYLE_TYPES,
    DeterministicVisionProvider,
    VisionProvider,
    build_vision_provider,
    dimensions_touched,
)
from packages.shared.config import Settings
from packages.shared.errors import AppError, ErrorCode

_PHOTO = {"object_key": "upload/report/photo-001.jpg"}

_QUESTIONNAIRE = {
    "gender": "女",
    "height": 165,
    "weight": 50,
    "birthday": "1998-06-01",
}


async def test_same_input_same_output() -> None:
    provider = DeterministicVisionProvider()
    first = await provider.analyze(_PHOTO, _QUESTIONNAIRE)
    second = await provider.analyze(dict(_PHOTO), dict(_QUESTIONNAIRE))
    assert first == second


async def test_satisfies_protocol() -> None:
    assert isinstance(DeterministicVisionProvider(), VisionProvider)


async def test_shape_contract_and_enum_values() -> None:
    features = await DeterministicVisionProvider().analyze(_PHOTO, _QUESTIONNAIRE)
    expected_keys = {
        "body_shape",
        "body_features",
        "body_ratio",
        "face_shape",
        "face_proportions",
        "facial_details",
        "face_depth",
        "skin_lab",
        "skin_tone",
        "face_hue",
        "face_lightness",
        "face_chroma",
        "face_contrast",
        "season_code",
        "season_detailed",
        "volume",
        "curve_straight",
        "motion",
        "gene_style_scores",
        "hair_status",
        "hair_color",
    }
    assert set(features) == expected_keys
    assert features["body_shape"] in BODY_SHAPES
    assert features["face_shape"] in FACE_SHAPES
    assert features["skin_tone"] in SKIN_TONES
    assert features["season_code"] in SEASON_CODES
    assert set(features["gene_style_scores"]) == set(STYLE_TYPES)
    # 色彩轴连续值域与标签三档。
    for axis in ("face_hue", "face_lightness", "face_chroma"):
        assert -1 <= features[axis]["value"] <= 1
        assert features[axis]["label"]
    assert 0 <= features["face_depth"] <= 10
    assert 0.58 <= features["body_ratio"] <= 0.68


async def test_different_questionnaire_drives_different_body_shape() -> None:
    provider = DeterministicVisionProvider()
    slim = await provider.analyze(_PHOTO, {"height": 165, "weight": 45})  # BMI≈16.5
    heavy = await provider.analyze(_PHOTO, {"height": 165, "weight": 95})  # BMI≈34.9
    assert slim["body_shape"] in ("A", "H")  # 过瘦区间：梨/矩形
    assert heavy["body_shape"] == "O"  # 高 BMI：苹果形
    assert slim["body_shape"] != heavy["body_shape"]


async def test_questionnaire_self_report_overrides_hash() -> None:
    # §3.6 降级路径：问卷自评是真实信号，优先于 mock 哈希。
    provider = DeterministicVisionProvider()
    plain = await provider.analyze(_PHOTO, {})
    self_reported = await provider.analyze(
        _PHOTO,
        {"body_shape_self": "X", "face_shape_self": "圆", "skin_tone_self": "粉一白"},
    )
    assert self_reported["body_shape"] == "X"
    assert self_reported["face_shape"] == "圆"
    assert self_reported["skin_tone"] == "粉一白"
    # 自评肤色反推冷轴：粉系=冷 → 季型落在冷季（夏/冬）。
    assert self_reported["season_code"] in ("summer", "winter")
    assert plain["season_code"] in SEASON_CODES


async def test_different_photo_changes_features() -> None:
    provider = DeterministicVisionProvider()
    a = await provider.analyze({"object_key": "a.jpg"}, {})
    b = await provider.analyze({"object_key": "b.jpg"}, {})
    assert a != b


async def test_missing_object_key_still_deterministic() -> None:
    provider = DeterministicVisionProvider()
    empty_meta: dict[str, str] = {}
    assert await provider.analyze(empty_meta, {}) == await provider.analyze({}, {})


def test_dimensions_touched_maps_to_dimension_keys() -> None:
    features = {
        "body_shape": "A",
        "skin_lab": {"l": 60.0, "a": 1.0, "b": 20.0},  # 中间量，不是维度
        "gene_style_scores": {"自然": 9},
    }
    touched = dimensions_touched(features)
    assert touched == ["body_shape", "gene_style"]
    assert all(key in DIMENSION_BY_KEY for key in touched)


def test_factory_default_is_deterministic() -> None:
    settings = Settings(_env_file=None)
    provider = build_vision_provider(settings)
    assert isinstance(provider, DeterministicVisionProvider)


def test_factory_rejects_unknown_provider() -> None:
    settings = Settings(_env_file=None, report_vision_provider="rtmpose")
    with pytest.raises(AppError) as excinfo:
        build_vision_provider(settings)
    assert excinfo.value.code == ErrorCode.CONFIG_ERROR
    assert excinfo.value.data["report_vision_provider"] == "rtmpose"