"""查标的纯函数：检索、投标侧证据校验、问题级别（m3-plan §2）。"""

from __future__ import annotations

from uuid import uuid4

from bid_doctor.check import findings, match
from bid_doctor.check.retrieval import Index, tokens
from bid_doctor.document.pipeline.text_layer import Sentence


def sent(seq: int, text: str, page: int = 1) -> Sentence:
    return Sentence(key=f"doc:p{page}:s{seq}", page_no=page, seq=seq, text=text, quads=[[0, 0, 1, 1]])


def test_tokens_keep_number_unit_and_model_names() -> None:
    t = tokens("服务器内存不低于32GB，支持10GE和硬件BFD")
    assert "32gb" in t and "10ge" in t and "bfd" in t and "内存" in t


def test_bm25_ranks_the_responding_sentence_first() -> None:
    index = Index(
        [
            sent(1, "我公司提供7×24小时售后服务。"),
            sent(2, "服务器内存配置为64GB，并提供产品彩页。"),
            sent(3, "交换机支持硬件BFD，最小发送间隔3.3毫秒。"),
        ]
    )
    (top, *_) = index.search("交换机支持硬件BFD 最小报文发送间隔不大于50毫秒", 3)
    assert top.sentence.seq == 3
    assert index.search("完全无关的词语组合", 3) == []


def bid() -> tuple[match.BidDoc, dict[str, tuple[match.BidDoc, Sentence]]]:
    s = sent(9, "服务器内存不低于32GB的要求：我方服务器内存配置为64GB。")
    d = match.BidDoc(uuid4(), 1, "技术分册", [s])
    return d, {"d1p1s9": (d, s)}


def test_responded_needs_verified_evidence() -> None:
    """模型说已响应，但证据没通过：不能判已响应，记「未找到响应」并带原因码（C3）。"""
    _, allowed = bid()
    ok = match.judge(
        {"verdict": "responded", "evidence": [{"sid": "d1p1s9", "quote": "我方服务器内存配置为64GB。"}]}, allowed, []
    )
    assert ok.verdict == "responded" and ok.evidence_status == "verified" and len(ok.evidence) == 1

    no_ev = match.judge({"verdict": "responded", "evidence": []}, allowed, [])
    assert (no_ev.verdict, no_ev.evidence_status, no_ev.reason_code) == ("not_found", "unverified", "evidence_missing")

    rewritten = match.judge(
        {"verdict": "responded", "evidence": [{"sid": "d1p1s9", "quote": "内存为64GB，满足要求。"}]}, allowed, []
    )
    assert rewritten.reason_code == "quote_not_original" and rewritten.detail["claimed_pages"] == [1]

    other = match.judge({"verdict": "responded", "evidence": [{"sid": "d1p2s1", "quote": "x" * 10}]}, allowed, [])
    assert other.reason_code == "sid_unknown"

    missing = match.judge(None, allowed, ["技术分册"])
    assert (missing.verdict, missing.reason_code) == ("undetermined", "missing_answer")


def test_severity_comes_from_the_item_not_the_model() -> None:
    assert findings.severity({"importance": "substantive", "categories": ["tech_param", "invalidity"]}) == "fatal"
    assert findings.severity({"importance": "normal", "categories": ["qualification"]}) == "fatal"
    assert findings.severity({"importance": "important", "categories": ["tech_param"]}) == "important"
    assert findings.severity({"importance": "normal", "categories": ["scoring"]}) == "important"
    assert findings.severity({"importance": "normal", "categories": ["tech_param"]}) == "hint"


def test_no_value_is_a_hint_and_unverified_is_explained() -> None:
    item = {"title": "服务器内存", "importance": "substantive", "categories": ["tech_param"]}
    nv = findings.spec(match.Result("no_value", "model", "verified"), item)
    assert nv is not None and nv.severity == "hint" and nv.title.startswith("未给出具体值")
    uv = findings.spec(
        match.Result("not_found", "model", "unverified", "quote_not_original", detail={"claimed_pages": [3]}), item
    )
    assert uv is not None and uv.severity == "fatal" and "第 3 页" in uv.explanation and "没能核对" in uv.explanation
    assert findings.spec(match.Result("responded", "model", "verified"), item) is None