"""人设卡治理层纯函数测试

galgame_card 包 __init__ 会触发 NoneBot 运行时初始化(require orm),
无法裸导入,故用 importlib 按文件路径直接加载 processor 模块
(与 test_rate_limit.py 同款做法)。
"""

import importlib.util
from pathlib import Path

import pytest

_MODULE_PATH = (
    Path(__file__).resolve().parents[1]
    / "hexi"
    / "plugins"
    / "nonebot_plugin_galgame_card"
    / "processor.py"
)


def _load_processor():
    spec = importlib.util.spec_from_file_location("persona_processor", _MODULE_PATH)
    module = importlib.util.module_from_spec(spec)
    spec.loader.exec_module(module)
    return module


@pytest.fixture(scope="module")
def processor():
    return _load_processor()


COMMAND_STARTS = {"/", ""}


def test_filter_content_normal(processor):
    assert processor.filter_content("草，又被加班干碎了", COMMAND_STARTS) == "草，又被加班干碎了"


def test_filter_content_command(processor):
    assert processor.filter_content("/打卡", COMMAND_STARTS) is None


def test_filter_content_command_empty_prefix_not_fatal(processor):
    # command_start 里空串不应导致全量误杀
    assert processor.filter_content("正常说话", {""}) == "正常说话"
    assert processor.filter_content("/打卡", {""}) == "/打卡"


def test_desensitize_clear_patterns(processor):
    assert processor.desensitize("我电话是13800138000") == "我电话是[手机号]"
    assert processor.desensitize("手机号138-0013-8000") == "手机号[手机号]"  # 带分隔符变体
    assert processor.desensitize("身份证110101199003070012") == "身份证[身份证]"
    assert processor.desensitize("卡号6222021234567890") == "卡号[银行卡]"
    assert processor.desensitize("联系我 a@b.com") == "联系我 [邮箱]"
    assert processor.desensitize("服务器192.168.1.1") == "服务器[IP]"
    assert processor.desensitize("加我 wxid_abc123xyz") == "加我 [微信号]"
    assert processor.desensitize("车牌川A12345") == "车牌[车牌]"
    assert processor.desensitize("定位30.5,104.0") == "定位[坐标]"


def test_desensitize_key_value(processor):
    # 定位式：关键词 + 值，只替换值、保留关键词
    assert processor.desensitize("密码是 xyz789") == "密码是 [密码]"
    assert processor.desensitize("账号 abc123") == "账号 [账号]"
    assert processor.desensitize("账号是 1122334455") == "账号是 [账号]"
    assert processor.desensitize("激活码 ABCDE-12345") == "激活码 [兑换码]"
    assert processor.desensitize("验证码是 123456") == "验证码是 [验证码]"
    assert processor.desensitize("月薪 25000") == "月薪 [收入]"
    assert processor.desensitize("VX: xiaoming123") == "VX: [微信号]"


def test_desensitize_fallback(processor):
    # 兜底：裸长数字串 → [账号]，字母数字混合 → [密码]
    assert processor.desensitize("1122334455") == "[账号]"
    assert processor.desensitize("abc1234") == "[密码]"


def test_desensitize_context_hint(processor):
    # 语境强化：附近出现"验证码"关键词时，6-8 位数字 → [验证码]
    assert processor.desensitize("123456", context_text="发下验证码") == "[验证码]"
    assert processor.desensitize("验证码是 123456") == "验证码是 [验证码]"
    # 无关键词时 6-8 位数字走兜底 → [账号]
    assert processor.desensitize("123456") == "[账号]"


def test_desensitize_keeps_normal_text(processor):
    # 正常文本不受影响（短数字、中文、英文单词）
    assert processor.desensitize("今晚八点开黑，打了2800分") == "今晚八点开黑，打了2800分"
    assert processor.desensitize("有一说一确实wwww") == "有一说一确实wwww"
    assert processor.desensitize("房间码12345") == "房间码12345"
    assert processor.desensitize("体重120斤") == "体重120斤"


def test_filter_content_url_flood(processor):
    text = "看看这个 http://a.com http://b.com http://c.com"
    assert processor.filter_content(text, COMMAND_STARTS) is None


def test_filter_content_truncate(processor):
    long_text = "长" * 500
    assert len(processor.filter_content(long_text, COMMAND_STARTS)) == processor.MAX_CONTENT_LEN


def test_is_command(processor):
    assert processor.is_command("/查询", {"/"})
    assert not processor.is_command("你好", {"/"})


def test_truncate(processor):
    assert processor.truncate("abc", 2) == "ab"
    assert processor.truncate("abc", 10) == "abc"


def test_image_hash_from_file(processor):
    HASH32 = "0123456789abcdef0123456789abcdef"
    # 优先 file 里的 32 位 hash
    assert processor.image_hash_from_file(f"{HASH32}.image") == HASH32
    # 回退 url 文件名里的 hash
    assert (
        processor.image_hash_from_file("", f"https://example.com/pics/{HASH32}.png")
        == HASH32
    )
    # 都没有则截断文件名
    assert processor.image_hash_from_file("somefile.png") == "somefile.png"


def test_build_content(processor):
    assert processor.build_content("") is None
    assert processor.build_content("草") == "草"
    assert processor.build_content("", 2) == "[图片×2]"
    assert processor.build_content("", 0, 3) == "[表情×3]"
    assert processor.build_content("", 2, 3) == "[图片×2][表情×3]"
    assert processor.build_content("草", 1) == "草 [图片×1]"