# -*- coding: utf-8 -*-
"""候选分类与时长解析。

规则见 project.md §3.3：分类只决定“是否通知”，不决定是否入库。
"""

from __future__ import annotations

import re
import unicodedata
from typing import Any, Mapping

_TAG_RE = re.compile(r"<[^>]+>")


def normalize_title(text: str) -> str:
    """全半角归一化并转小写，便于标题关键词匹配。"""
    return unicodedata.normalize("NFKC", text or "").lower()


def clean_title(text: str) -> str:
    """去掉搜索结果里的 ``<em class="keyword">`` 高亮标签。"""
    return _TAG_RE.sub("", text or "").strip()


def parse_duration(value: Any) -> int:
    """解析 B 站搜索结果时长。

    支持 ``105:5``（分钟:秒）、``1:02:03``（时:分:秒）和整数秒。
    """
    if isinstance(value, bool):
        return 0
    if isinstance(value, int):
        return max(0, value)
    if not isinstance(value, str):
        return 0
    parts = value.strip().split(":")
    if not parts or any(not part.isdigit() for part in parts):
        return 0
    numbers = [int(part) for part in parts]
    if len(numbers) == 1:
        return numbers[0]
    if len(numbers) == 2:
        return numbers[0] * 60 + numbers[1]
    if len(numbers) == 3:
        return numbers[0] * 3600 + numbers[1] * 60 + numbers[2]
    return 0


def matched_words(title: str, words: Any) -> list[str]:
    """返回标题命中（归一化子串）的词，保持 ``words`` 顺序、跳过空词。"""
    normalized = normalize_title(title)
    if not isinstance(words, (list, tuple)):
        return []
    return [str(word) for word in words if word and normalize_title(str(word)) in normalized]


def contains_any(title: str, words: Any) -> bool:
    return bool(matched_words(title, words))


def passes_required_title(title: str, require_title: str) -> bool:
    if not require_title:
        return True
    return normalize_title(require_title) in normalize_title(title)


# 标题带日期通常意味着录播/回放/录像（按具体某场直播命名），作为强负向信号。
# 覆盖 `2026-10-28` / `2026/10/25` / `2026.10.26` / `2024年11月24日` / `10月25日`。
_DATE_PATTERNS = (
    r"\d{4}\s*[-/.]\s*\d{1,2}\s*[-/.]\s*\d{1,2}",
    r"\d{4}\s*年\s*\d{1,2}\s*月(?:\s*\d{1,2}\s*日)?",
    r"\d{1,2}\s*月\s*\d{1,2}\s*日",
)
_DATE_RE = re.compile("|".join(_DATE_PATTERNS))

# 各信号的权重（见 project.md §3.3）。
REACTION_SCORE = 3
CHARGE_MULTI_SCORE = 3
CHARGE_SINGLE_SCORE = 1
WEAK_SCORE = 1
NEGATIVE_SCORE = 6
DATE_SCORE = 6
SELF_SCORE = 3


def date_hits(title: str) -> list[str]:
    """返回标题中的日期片段，用于判定「带日期≈录播/回放」。"""
    return _DATE_RE.findall(title or "")


def score_item(
    *,
    title: str,
    up_mid: int | None,
    duration_seconds: int,
    classify: Mapping[str, Any],
) -> int:
    """按 project.md §3.3 计算候选分数。

    强正向 ``reaction`` 只在标题同时命中 ``require_title`` 时成立；时长只作为
    已存在 reaction / charge 信号时的加权，避免纯长录像仅靠时长进池。
    """
    score = 0
    require_title = str(classify.get("require_title") or "")

    reaction_matched = bool(matched_words(title, classify.get("reaction")))
    reaction_hit = reaction_matched and (
        not require_title or passes_required_title(title, require_title)
    )
    if reaction_hit:
        score += REACTION_SCORE

    charge_hits = matched_words(title, classify.get("charge"))
    if len(charge_hits) >= 2:
        score += CHARGE_MULTI_SCORE
    elif len(charge_hits) == 1:
        score += CHARGE_SINGLE_SCORE

    if matched_words(title, classify.get("weak_positive")):
        score += WEAK_SCORE

    if reaction_hit or charge_hits:
        boost = classify.get("duration_boost") or {}
        gt_60 = int(boost.get("gt_60min", 2))
        gt_30 = int(boost.get("gt_30min", 1))
        if duration_seconds > 60 * 60:
            score += gt_60
        elif duration_seconds > 30 * 60:
            score += gt_30

    if matched_words(title, classify.get("negative")):
        score -= NEGATIVE_SCORE
    if classify.get("date_negative", True) and date_hits(title):
        score -= DATE_SCORE
    if up_mid is not None and int(up_mid) == int(classify.get("self_mid", 37754047)):
        score -= SELF_SCORE
    return score