"""报告结论反馈的纯函数与 schema 校验（T-P3-21 最小可用版，不连库）。

覆盖：ok_dimension_keys 的可反馈维度集合口径（status=ok 才可选）、
FeedbackCreateRequest 的 verdict 枚举与 correction 长度上限。
"""

from __future__ import annotations

import pytest
from pydantic import ValidationError

from packages.report.feedback_service import ok_dimension_keys
from packages.report.schemas import FeedbackCreateRequest


def _result(dimensions: list[dict[str, object]]) -> dict[str, object]:
    return {"diagnosis": {"dimensions": dimensions, "coverage": {"total": len(dimensions)}}}


class TestOkDimensionKeys:
    def test_only_status_ok_dimensions_are_feedbackable(self) -> None:
        result = _result(
            [
                {"key": "body_shape", "status": "ok"},
                {"key": "color_season", "status": "skipped"},
                {"key": "style_type", "status": "ok"},
            ]
        )
        assert ok_dimension_keys(result) == {"body_shape", "style_type"}

    def test_empty_or_missing_diagnosis_yields_empty(self) -> None:
        assert ok_dimension_keys({}) == set()
        assert ok_dimension_keys({"diagnosis": {}}) == set()
        assert ok_dimension_keys({"diagnosis": {"dimensions": "not-a-list"}}) == set()

    def test_malformed_items_are_ignored(self) -> None:
        result = _result(
            [
                "garbage",
                {"status": "ok"},  # 缺 key
                {"key": 123, "status": "ok"},  # key 非字符串
                {"key": "face_shape", "status": "ok"},
            ]
        )
        assert ok_dimension_keys(result) == {"face_shape"}


class TestFeedbackCreateRequest:
    def test_verdict_enum_rejects_unknown_value(self) -> None:
        with pytest.raises(ValidationError):
            FeedbackCreateRequest.model_validate(
                {"dimension_key": "body_shape", "verdict": "kind-of"}
            )

    def test_correction_max_200_chars(self) -> None:
        with pytest.raises(ValidationError):
            FeedbackCreateRequest.model_validate(
                {
                    "dimension_key": "body_shape",
                    "verdict": "inaccurate",
                    "correction": "长" * 201,
                }
            )

    def test_minimal_valid_payload(self) -> None:
        req = FeedbackCreateRequest.model_validate(
            {"dimension_key": "body_shape", "verdict": "accurate"}
        )
        assert req.correction is None