import re
from dataclasses import dataclass

IMAGE_URL_RE = re.compile(r"https?://[^\s]+(?:\.jpg|\.jpeg|\.png|\.webp|\.bmp|\.gif)(?:\?[^\s]*)?", re.I)
SIZE_RE = re.compile(r"(\d+(?:\.\d+)?)\s*(米|m|M)\s*[xX*乘]\s*(\d+(?:\.\d+)?)\s*(米|m|M)")

MAP_POLITICAL_KWS = ["地图", "国界", "边界", "南海", "台湾", "香港", "澳门", "西藏", "新疆", "政治"]
PORN_RISK_KWS = ["裸", "成人视频", "成人视频", "性爱", "激情", "成人视频"]
EXTERNAL_CONTACT_KWS = ["微信", "vx", "vx", "qq", "手机号", "电话", "加我", "私下"]
PRICE_KWS = ["多少钱", "怎么收费", "报价", "价格", "多少米", "多少"]
GREETING_KWS = ["你好", "您好", "在吗", "在不在", "hello", "hi"]
FINISH_KWS = ["发完了", "没了", "就这些", "报价吧", "可以报价", "先这样"]
NONSENSE_KWS = ["嗯", "哦", "好的", "ok", "1", "收到"]


@dataclass
class RuleResult:
    ignore: bool = False
    normalized_msg: str = ""
    reason: str = ""


def extract_customer_text_from_shop_card(msg: str) -> str:
    if "[进店卡片]" not in (msg or ""):
        return ""
    prefix = msg.split("#*#[进店卡片]", 1)[0].strip()
    if prefix and prefix not in {"你好", "您好", "在吗"}:
        return prefix
    return prefix


def detect_order_status(order_text: str) -> str:
    t = (order_text or "")
    if "买家已付款" in t:
        return "paid"
    if "等待买家付款" in t or "待付款" in t:
        return "pending_payment"
    if "已退款" in t or "退款" in t:
        return "refund"
    return "unknown"


def extract_size_pairs_m(msg: str) -> list[tuple[float, float]]:
    out: list[tuple[float, float]] = []
    for m in SIZE_RE.finditer(msg or ""):
        w = float(m.group(1))
        h = float(m.group(3))
        out.append((w, h))
    return out


def has_map_or_political_risk(msg: str, goods_name: str = "") -> bool:
    t = f"{msg or ''} {goods_name or ''}".lower()
    return any(k.lower() in t for k in MAP_POLITICAL_KWS)


def has_porn_risk(msg: str) -> bool:
    t = (msg or "").lower()
    return any(k.lower() in t for k in PORN_RISK_KWS)


def requests_external_contact(msg: str) -> bool:
    t = (msg or "").lower()
    return any(k.lower() in t for k in EXTERNAL_CONTACT_KWS)


def is_meaningless_short(msg: str) -> bool:
    t = (msg or "").strip().lower()
    if len(t) <= 2:
        return True
    return t in NONSENSE_KWS


def prefilter_message(msg: str, msg_type: int) -> RuleResult:
    m = (msg or "").strip()
    if not m:
        return RuleResult(ignore=True, reason="empty")
    if msg_type not in (0, 1):
        return RuleResult(ignore=True, reason="unsupported_msg_type")
    if "由 " in m and " 转交给 " in m:
        return RuleResult(ignore=True, reason="transfer_notice")
    if "Gemini 店铺消息，跳过" in m:
        return RuleResult(ignore=True, reason="system_echo")
    if "[进店卡片]" in m:
        t = extract_customer_text_from_shop_card(m)
        if t:
            return RuleResult(ignore=False, normalized_msg=t, reason="shop_card_with_text")
        return RuleResult(ignore=True, reason="pure_shop_card")
    return RuleResult(ignore=False, normalized_msg=m, reason="normal")


def detect_intent(msg: str) -> str:
    m = (msg or "").lower()
    if IMAGE_URL_RE.search(m):
        return "image"
    if any(k in m for k in FINISH_KWS):
        return "finish_or_quote_trigger"
    if any(k in m for k in PRICE_KWS):
        return "pricing"
    if any(k in m for k in GREETING_KWS):
        return "greeting"
    if requests_external_contact(m):
        return "external_contact"
    if is_meaningless_short(m):
        return "nonsense"
    return "unknown"


def extract_image_urls(msg: str) -> list[str]:
    return IMAGE_URL_RE.findall(msg or "")


def rules_prompt() -> str:
    return (
        "你是淘宝客服主决策。只输出JSON动作，不要解释。\n"
        "动作 action 只能是: reply / quote / transfer / noop。\n"
        "规则提炼(严格执行):\n"
        "1) 客户发图: 先承接, 允许继续收图。\n"
        "2) 询价且有图(当前/待处理): 优先 quote。\n"
        "3) 无图询价: reply 承接并引导发图。\n"
        "4) 客户说发完了/报价吧/没图: 若有待处理图则 quote。\n"
        "5) 外部联系方式请求: reply 站内引导, 不给微信QQ手机号。\n"
        "6) 地图/政治/黄暴风险: transfer 或拒绝性 reply。\n"
        "7) 仅无意义短句(嗯/哦/ok): 给简短自然承接, 不要长回复。\n"
        "8) 避免重复同一句; 若上句语义相同则换表达。\n"
        "9) 订单已付款: 可回复已安排; 待付款: 提示先付款。\n"
        "10) 尺寸明显超大(如>=2m*2m): 提示需补图/重做边缘, 不要直接承诺一模一样。\n"
        "11) 店铺差异化: 按 acc_id/persona 口吻回复, 保持真人聊天。\n"
        "12) 最终输出只允许一个动作, 不能混合。\n"
        "13) reply 必须很短: 1句为主, 不超过20字, 口语化, 不要客服官话和AI腔。\n"
        "输出格式:\n"
        '{"action":"reply|quote|transfer|noop","reply":"","transfer_msg":"","quote_mode":"flush_pending|analyze_current_or_recent|collect_only","reason":""}'
    )