"""effective_candidate_consumables / build_name_mapping：YAML 与分类模型，无 Excel。"""

from __future__ import annotations

from pathlib import Path
from unittest.mock import MagicMock

import pytest

from app.config import Settings
from app.services.consumable_vision_algorithm import ConsumableVisionAlgorithmService


def test_effective_preserves_non_empty_request() -> None:
    svc = ConsumableVisionAlgorithmService(Settings())
    got = svc.effective_candidate_consumables([" 纱布 ", "缝线", "纱布"])
    assert got == ["纱布", "缝线"]


def test_effective_empty_uses_model_when_yaml_has_no_names(
    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
    yml = tmp_path / "empty.yaml"
    yml.write_text("names: {}\nlabel_id: {}\n", encoding="utf-8")
    s = Settings(consumable_classifier_labels_yaml_path=str(yml))
    svc = ConsumableVisionAlgorithmService(s)
    mock_cls = MagicMock()
    mock_cls.names = {0: "ban", 1: "apple"}
    monkeypatch.setattr(svc, "_get_cls", lambda: mock_cls)
    assert svc.effective_candidate_consumables([]) == ["apple", "ban"]


def test_effective_empty_prefers_yaml_class_names(tmp_path: Path) -> None:
    yml = tmp_path / "lab.yaml"
    yml.write_text(
        "names:\n  0: 商品甲\n  1: 商品乙\nlabel_id:\n  0: a\n  1: b\n",
        encoding="utf-8",
    )
    s = Settings(consumable_classifier_labels_yaml_path=str(yml))
    svc = ConsumableVisionAlgorithmService(s)
    assert svc.effective_candidate_consumables([]) == ["商品甲", "商品乙"]


def test_effective_whitespace_only_treated_as_empty(
    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
    yml = tmp_path / "empty.yaml"
    yml.write_text("names: {}\nlabel_id: {}\n", encoding="utf-8")
    s = Settings(consumable_classifier_labels_yaml_path=str(yml))
    svc = ConsumableVisionAlgorithmService(s)
    mock_cls = MagicMock()
    mock_cls.names = {0: "x"}
    monkeypatch.setattr(svc, "_get_cls", lambda: mock_cls)
    assert svc.effective_candidate_consumables(["", "  "]) == ["x"]


def test_build_name_mapping_from_label_id(tmp_path: Path) -> None:
    yml = tmp_path / "lab.yaml"
    yml.write_text(
        "names:\n  0: 商品A\nlabel_id:\n  0: y1/y2\n",
        encoding="utf-8",
    )
    s = Settings(consumable_classifier_labels_yaml_path=str(yml))
    svc = ConsumableVisionAlgorithmService(s)
    m = svc.build_name_mapping(["商品A"])
    assert m["商品A"] == "y1/y2"


def test_build_name_mapping_uses_name_when_no_id_in_yaml(
    tmp_path: Path,
) -> None:
    yml = tmp_path / "lab.yaml"
    yml.write_text(
        "names:\n  0: 仅表内有的\nlabel_id: {}\n",
        encoding="utf-8",
    )
    s = Settings(consumable_classifier_labels_yaml_path=str(yml))
    svc = ConsumableVisionAlgorithmService(s)
    m = svc.build_name_mapping(["仅表内有的"])
    assert m["仅表内有的"] == "仅表内有的"