from typing import Any

from zbt.core.config import Settings
from zbt.domains.knowledge.models import KnowledgeSearchHit
from zbt.infrastructure.embedding.reranker import BgeKnowledgeReranker


class FakeRerankerModel:
    def compute_score(
        self,
        pairs: list[list[str]],
        *,
        normalize: bool,
    ) -> list[float]:
        assert normalize is True
        assert len(pairs) == 2
        return [0.21, 0.93]


def test_bge_reranker_reorders_candidates_by_model_score() -> None:
    settings = Settings(
        app_env="test",
        jwt_access_secret="a" * 32,
        jwt_refresh_secret="b" * 32,
        field_encryption_key="c" * 32,
    )
    reranker = BgeKnowledgeReranker(settings, model=FakeRerankerModel())

    result = reranker.rerank(
        "等待期是多少天",
        [_hit("general"), _hit("exact")],
        limit=1,
    )

    assert len(result) == 1
    assert result[0].chunk_id == "exact"
    assert result[0].score == 0.93


def _hit(chunk_id: str) -> KnowledgeSearchHit:
    values: dict[str, Any] = {
        "chunk_id": chunk_id,
        "document_id": "document-01",
        "document_version": 1,
        "ordinal": 1,
        "title": "保险条款",
        "content": f"{chunk_id}内容",
        "document_type": "INSURANCE_TERMS",
        "source_name": "保险条款.md",
        "product_code": "MED-BASIC",
        "score": 0.1,
    }
    return KnowledgeSearchHit(**values)