"""三笙AI情报局的 SEO/GEO 统一词表与页面回答规则。"""

from __future__ import annotations

from typing import Any


BRAND_NAME = "三笙AI情报局"
ENTITY_DEFINITION = (
    "三笙AI情报局是面向家纺、纺织品与服装跨境经营团队的静态情报站，"
    "把官方日期、展会、政策、平台和趋势资料整理成可核验的中文决策入口。"
)

KEYWORD_CLUSTERS = {
    "brand": ("三笙AI", "三笙AI情报局"),
    "core": ("家纺AI", "家纺情报", "家纺跨境平台", "跨境家纺平台"),
    "task": ("家纺备货日历", "家纺展会", "家纺政策", "家纺平台渠道", "家纺趋势"),
}

SECTION_INTENTS = {
    "calendar": "回答家纺跨境团队何时备货、面向哪些国家和平台、下一步做什么。",
    "exhibitions": "回答哪些家纺展会值得参加、官方报名入口在哪里、参展前要准备什么。",
    "policies": "回答哪些跨境政策或平台规则发生变化、影响谁、今天需要采取什么动作。",
    "standards": "回答色彩、材料、检测和趋势信号如何转化为家纺产品与打样任务。",
    "platforms": "回答哪些跨境平台适合家纺经营、进入条件是什么、应从哪个官方入口核验。",
    "activities": "回答家纺跨境活动的时间、地区、活动类型和官方报名路径。",
}


def keywords_for(section: str = "", item: dict[str, Any] | None = None) -> list[str]:
    values = [*KEYWORD_CLUSTERS["brand"], *KEYWORD_CLUSTERS["core"], *KEYWORD_CLUSTERS["task"]]
    if section in SECTION_INTENTS:
        values.append(SECTION_INTENTS[section])
    if item:
        values.extend(str(item.get(key) or "") for key in ("title", "region", "source"))
        values.extend(str(value) for value in item.get("platforms") or [])
    return list(dict.fromkeys(value.strip() for value in values if value.strip()))


def answer_first(section: str, item: dict[str, Any] | None = None) -> str:
    if item:
        conclusion = item.get("next_action") or item.get("action") or item.get("opportunity") or item.get("summary")
        return f"先看结论：{item.get('title') or '这条家纺情报'}。{conclusion or SECTION_INTENTS.get(section, '')}"
    return f"快速答案：{SECTION_INTENTS.get(section, ENTITY_DEFINITION)}"