待完善

new
notice test
2025-12-09 00:02:26 +08:00 · 2025-12-03 22:38:50 +08:00 · 2025-12-03 22:23:44 +08:00 · 2025-12-03 22:00:44 +08:00 · 2025-12-03 17:20:46 +08:00 · 2025-12-03 13:32:11 +08:00
32 changed files with 2874 additions and 80 deletions
--- a/.gitignore
+++ b/.gitignore
@ -1,5 +1,11 @@
+# 基本的数据文件，以及环境用文件
 /.env
 /data
+/pyrightconfig.json
+/pyrightconfig.toml

+# 缓存文件
 __pycache__
+
+# 可能会偶然生成的 diff 文件
 /*.diff
--- a/konabot/common/apis/ali_content_safety.py
+++ b/konabot/common/apis/ali_content_safety.py
@ -0,0 +1,90 @@
+import asyncio
+import json
+
+from alibabacloud_green20220302.client import Client as AlibabaGreenClient
+from alibabacloud_green20220302.models import TextModerationPlusRequest
+from alibabacloud_tea_openapi.models import Config as AlibabaTeaConfig
+from loguru import logger
+from pydantic import BaseModel
+
+import nonebot
+
+
+class AlibabaGreenPluginConfig(BaseModel):
+    module_aligreen_enable: bool = False
+    module_aligreen_access_key_id: str = ""
+    module_aligreen_access_key_secret: str = ""
+    module_aligreen_region_id: str = "cn-shenzhen"
+    module_aligreen_endpoint: str = "green-cip.cn-shenzhen.aliyuncs.com"
+    module_aligreen_service: str = "llm_query_moderation"
+
+
+class AlibabaGreen:
+    _client: AlibabaGreenClient | None = None
+    _config: AlibabaGreenPluginConfig | None = None
+
+    @staticmethod
+    def get_client() -> AlibabaGreenClient:
+        assert AlibabaGreen._client is not None
+        return AlibabaGreen._client
+
+    @staticmethod
+    def get_config() -> AlibabaGreenPluginConfig:
+        assert AlibabaGreen._config is not None
+        return AlibabaGreen._config
+
+    @staticmethod
+    def init():
+        config = nonebot.get_plugin_config(AlibabaGreenPluginConfig)
+        AlibabaGreen._config = config
+        if not config.module_aligreen_enable:
+            logger.info("该环境未启用阿里内容审查，跳过初始化")
+            return
+        AlibabaGreen._client = AlibabaGreenClient(AlibabaTeaConfig(
+            access_key_id=config.module_aligreen_access_key_id,
+            access_key_secret=config.module_aligreen_access_key_secret,
+            connect_timeout=10000,
+            read_timeout=3000,
+            region_id=config.module_aligreen_region_id,
+            endpoint=config.module_aligreen_endpoint,
+        ))
+
+    @staticmethod
+    def _detect_sync(content: str) -> bool:
+        if not AlibabaGreen.get_config().module_aligreen_enable:
+            logger.debug("该环境未启用阿里内容审查，直接跳过")
+            return True
+
+        client = AlibabaGreen.get_client()
+        try:
+            response = client.text_moderation_plus(TextModerationPlusRequest(
+                service=AlibabaGreen.get_config().module_aligreen_service,
+                service_parameters=json.dumps({
+                    "content": content,
+                }),
+            ))
+            if response.status_code == 200:
+                result = response.body
+                logger.info(f"检测违规内容 API 调用成功：{result}")
+                risk_level: str = result.data.risk_level or "none"
+                if risk_level == "high":
+                    return False
+                return True
+            logger.error(f"检测违规内容 API 调用失败：{response}")
+            return True
+        except Exception as e:
+            logger.error("检测违规内容 API 调用失败")
+            logger.exception(e)
+            return True
+
+    @staticmethod
+    async def detect(content: str) -> bool:
+        return await asyncio.to_thread(AlibabaGreen._detect_sync, content)
+
+
+driver = nonebot.get_driver()
+
+@driver.on_startup
+async def _():
+    AlibabaGreen.init()
+
--- a/konabot/common/llm/init.py
+++ b/konabot/common/llm/init.py
@ -59,6 +59,9 @@ def get_llm(llm_model: str | None = None):
    if llm_model is None:
        llm_model = llm_config.default_llm
    if llm_model not in llm_config.llms:
-        raise NotImplementedError("LLM 未配置，该功能无法使用")
+        if llm_config.default_llm in llm_config.llms:
+            logger.warning(f"[LLM] 需求的 LLM 不存在，回退到默认模型 REQUIRED={llm_model}")
+            return llm_config.llms[llm_config.default_llm]
+        raise NotImplementedError("[LLM] LLM 未配置，该功能无法使用")
    return llm_config.llms[llm_model]

--- a/konabot/common/nb/extract_image.py
+++ b/konabot/common/nb/extract_image.py
@ -208,5 +208,8 @@ async def _ext_img(
    return None


+
 DepImageBytes = Annotated[bytes, nonebot.params.Depends(_ext_img_data)]
 DepPILImage = Annotated[PIL.Image.Image, nonebot.params.Depends(_ext_img)]
+
+DepImageBytesOrNone = Annotated[bytes | None, nonebot.params.Depends(_ext_img_data)]
--- a/konabot/common/ptimeparse/README.md
+++ b/konabot/common/ptimeparse/README.md
@ -0,0 +1,3 @@
+# 已废弃
+
+坏枪用简单的 LLM + 提示词工程，完成了这 200 块的 `qwen3-coder-plus` 都搞不定的 nb 功能
--- a/konabot/common/ptimeparse/init.py
+++ b/konabot/common/ptimeparse/init.py
@ -9,7 +9,6 @@ import datetime
 from typing import Optional

 from .expression import TimeExpression
-from .err import TokenUnhandledException, MultipleSpecificationException


 def parse(text: str, now: Optional[datetime.datetime] = None) -> datetime.datetime:
@ -56,19 +55,4 @@ class Parser:
            TokenUnhandledException: If the input cannot be parsed
        """
        return TimeExpression.parse(text, self.now)
-    
-    def digest_chinese_number(self, text: str) -> tuple[str, int]:
-        """
-        Parse a Chinese number from the beginning of text and return the rest and the parsed number.
-        
-        This matches the interface of the original digest_chinese_number method.
-        
-        Args:
-            text: Text that may start with a Chinese number
-            
-        Returns:
-            Tuple of (remaining_text, parsed_number)
-        """
-        from .chinese_number import ChineseNumberParser
-        parser = ChineseNumberParser()
-        return parser.digest(text)
+
--- a/konabot/common/ptimeparse/ptime_ast.py
+++ b/konabot/common/ptimeparse/ptime_ast.py
@ -2,10 +2,9 @@
 Abstract Syntax Tree (AST) nodes for the time expression parser.
 """

-from abc import ABC, abstractmethod
-from typing import Optional, List
+from abc import ABC
+from typing import Optional
 from dataclasses import dataclass
-import datetime


@dataclass
@ -69,4 +68,4 @@ class TimeExpressionNode(ASTNode):
    time: Optional[TimeNode] = None
    relative_date: Optional[RelativeDateNode] = None
    relative_time: Optional[RelativeTimeNode] = None
-    weekday: Optional[WeekdayNode] = None
+    weekday: Optional[WeekdayNode] = None
--- a/konabot/common/ptimeparse/semantic.py
+++ b/konabot/common/ptimeparse/semantic.py
@ -10,7 +10,7 @@ from .ptime_ast import (
    TimeExpressionNode, DateNode, TimeNode, 
    RelativeDateNode, RelativeTimeNode, WeekdayNode, NumberNode
 )
-from .err import TokenUnhandledException, MultipleSpecificationException
+from .err import TokenUnhandledException


 class SemanticAnalyzer:
@ -366,4 +366,4 @@ class SemanticAnalyzer:
                    smart_time = self.infer_smart_time(time.hour, time.minute, time.second, base_time=result)
                    result = smart_time

-        return result
+        return result
--- a/konabot/docs/user/fx.txt
+++ b/konabot/docs/user/fx.txt
@ -0,0 +1,79 @@
+## 指令介绍
+
+`fx` - 用于对图片应用各种滤镜效果的指令
+
+## 格式
+
+```
+fx [滤镜名称] <参数1> <参数2> ...
+```
+
+## 示例
+
+- `fx 模糊`
+- `fx 阈值 150`
+- `fx 缩放 2.0`
+- `fx 色彩 1.8`
+- `fx 色键 rgb(0,255,0) 50`
+
+## 可用滤镜列表
+
+### 基础滤镜
+* ```fx 轮廓```
+* ```fx 锐化```
+* ```fx 边缘增强```
+* ```fx 浮雕```
+* ```fx 查找边缘```
+* ```fx 平滑```
+* ```fx 暗角 <半径=1.5>```
+* ```fx 发光 <强度=0.5> <模糊半径=15>```
+* ```fx 噪点 <数量=0.05>```
+* ```fx 素描```
+* ```fx 阴影 <x偏移量=10> <y偏移量=10> <模糊量=10> <不透明度=0.5> <阴影颜色=black>```
+
+### 模糊滤镜
+* ```fx 模糊 <半径=10>```
+* ```fx 马赛克 <像素大小=10>```
+* ```fx 径向模糊 <强度=3.0> <采样量=6>```
+* ```fx 旋转模糊 <强度=30.0> <采样量=6>```
+* ```fx 方向模糊 <角度=0.0> <距离=20> <采样量=6>```
+* ```fx 缩放模糊 <强度=0.1> <采样量=6>```
+* ```fx 边缘模糊 <半径=10.0>```
+
+### 色彩处理滤镜
+* ```fx 反色```
+* ```fx 黑白```
+* ```fx 阈值 <阈值=128>```
+* ```fx 对比度 <因子=1.5>```
+* ```fx 亮度 <因子=1.5>```
+* ```fx 色彩 <因子=1.5>```
+* ```fx 色调 <颜色="rgb(255,0,0)">```
+* ```fx RGB分离 <偏移量=5>```
+* ```fx 叠加颜色 <颜色列表=[rgb(255,0,0)|(0,0),rgb(0,255,0)|(0,100),rgb(0,0,255)|(50,100)]> <叠加模式=overlay>```
+* ```fx 像素抖动 <最大偏移量=2>```
+
+### 几何变换滤镜
+* ```fx 平移 <x偏移量=10> <y偏移量=10>```
+* ```fx 缩放 <比例(X)=1.5> <比例Y=None>```
+* ```fx 旋转 <角度=45>```
+* ```fx 透视变换 <变换矩阵>```
+* ```fx 裁剪 <左=0> <上=0> <右=100> <下=100>（百分比）```
+* ```fx 拓展边缘 <拓展量=10>```
+* ```fx 波纹 <振幅=5> <波长=20>```
+* ```fx 光学补偿 <数量=100> <反转=false>```
+* ```fx 球面化 <强度=0.5>```
+* ```fx 镜像 <角度=90>```
+* ```fx 水平翻转```
+* ```fx 垂直翻转```
+* ```fx 复制 <目标位置=(100,100)> <缩放=1.0> <源区域=(0,0,100,100)>（百分比）```
+
+### 特殊效果滤镜
+* ```fx 色键 <目标颜色="rgb(255,0,0)"> <容差=60>```
+* ```fx 晃动 <最大偏移量=5> <运动模糊=False>```
+* ```fx 动图 <帧率=10>```
+
+## 颜色名称支持
+- **基本颜色**：红、绿、蓝、黄、紫、黑、白、橙、粉、灰、青、靛、棕
+- **修饰词**：浅、深、亮、暗（可组合使用，如`浅红`、`深蓝`）
+- **RGB格式**：`rgb(255,0,0)`、`rgb(0,255,0)`、`(255,0,0)` 等
+- **HEX格式**：`#66ccff`等
--- a/konabot/docs/user/tqszm.txt
+++ b/konabot/docs/user/tqszm.txt
@ -0,0 +1,24 @@
+# tqszm
+
+引用一条消息，让此方帮你提取首字母。
+
+例子：
+
+```
+John: 11-28 16:50:37
+谁来总结一下今天的工作？
+
+Jack: 11-28 16:50:55
+[引用John的消息] @此方Bot tqszm
+
+此方Bot: 11-28 16:50:56
+slzjyxjtdgz？
+```
+
+或者，你也可以直接以正常指令的方式调用：
+
+```
+@此方Bot 提取首字母 中山大学
+> zsdx
+```
+
--- a/konabot/plugins/bilibili_fetch/init.py
+++ b/konabot/plugins/bilibili_fetch/init.py
@ -6,34 +6,25 @@ from nonebot_plugin_alconna import Reference, Reply, UniMsg
 from nonebot.adapters import Event


-matcher_fix = on_message()
-
 pattern = (
    r"^(?:(?:av|cv)\d+|BV[a-zA-Z0-9]{10})|"
    r"(?:b23\.tv|bili(?:22|23|33|2233)\.cn|\.bilibili\.com|QQ小程序(?:&amp;#93;|&#93;|\])哔哩哔哩).{0,500}"
 )


-@matcher_fix.handle()
-async def _(msg: UniMsg, event: Event):
+def _rule(msg: UniMsg):
    to_search = msg.exclude(Reply, Reference).dump(json=True)
    to_search2 = msg.exclude(Reply, Reference).extract_plain_text()
    if not re.search(pattern, to_search) and not re.search(pattern, to_search2):
-        return
+        return False
+    return True

+
+matcher_fix = on_message(rule=_rule)
+
+@matcher_fix.handle()
+async def _(event: Event):
    from nonebot_plugin_analysis_bilibili import handle_analysis

    await handle_analysis(event)

-    # b_url: str
-    # b_page: str | None
-    # b_time: str | None
-    #
-    # from nonebot_plugin_analysis_bilibili.analysis_bilibili import extract as bilibili_extract
-    #
-    # b_url, b_page, b_time = bilibili_extract(to_search)
-    # if b_url is None:
-    #     return
-    #
-    # await matcher_fix.send(await UniMessage().text(b_url).export())
-
--- a/konabot/plugins/fx_process/init.py
+++ b/konabot/plugins/fx_process/init.py
@ -0,0 +1,215 @@
+import asyncio as asynkio
+from dataclasses import dataclass
+from io import BytesIO
+
+from inspect import signature
+
+from konabot.common.longtask import DepLongTaskTarget
+from konabot.common.nb.extract_image import DepImageBytesOrNone
+from nonebot.adapters import Event as BaseEvent
+from nonebot import on_message, logger
+from returns.result import Failure, Result, Success
+
+from nonebot_plugin_alconna import (
+    UniMessage,
+    UniMsg
+)
+
+from konabot.plugins.fx_process.fx_manager import ImageFilterManager
+
+from PIL import Image, ImageSequence
+
+from konabot.plugins.fx_process.types import FilterItem, ImageRequireSignal, ImagesListRequireSignal, SenderInfo
+
+def prase_input_args(input_str: str, sender_info: SenderInfo = None) -> list[FilterItem]:
+    # 按分号或换行符分割参数
+    args = []
+    for part in input_str.replace('\n', ';').split(';'):
+        part = part.strip()
+        if not part:
+            continue
+        split_part = part.split()
+        filter_name = split_part[0]
+        if not ImageFilterManager.has_filter(filter_name):
+            continue
+        filter_func = ImageFilterManager.get_filter(filter_name)
+        input_filter_args = split_part[1:]
+        # 获取函数最大参数数量
+        sig = signature(filter_func)
+        max_params = len(sig.parameters) - 1  # 减去第一个参数 image
+        # 从 args 提取参数，并转换为适当类型
+        func_args = []
+        for i in range(0, min(len(input_filter_args), max_params)):
+            # 尝试将参数转换为函数签名中对应的类型，并检测是不是 Image 类型，如果有则表示多个图像输入
+            param = list(sig.parameters.values())[i + 1]
+            param_type = param.annotation
+            arg_value = input_filter_args[i]
+            try:
+                if param_type is float:
+                    converted_value = float(arg_value)
+                elif param_type is int:
+                    converted_value = int(arg_value)
+                elif param_type is bool:
+                    converted_value = arg_value.lower() in ['true', '1', 'yes', '是', '开']
+                elif param_type is Image.Image:
+                    converted_value = ImageRequireSignal()
+                elif param_type is SenderInfo:
+                    converted_value = sender_info
+                elif param_type is list[Image.Image]:
+                    converted_value = ImagesListRequireSignal()
+                else:
+                    converted_value = arg_value
+            except Exception:
+                converted_value = arg_value
+            func_args.append(converted_value)
+        args.append(FilterItem(name=filter_name,filter=filter_func, args=func_args))
+    return args
+
+def handle_filters_to_image(images: list[Image.Image], filters: list[FilterItem]) -> Image.Image:
+    for filter_item in filters:
+        filter_func = filter_item.filter
+        func_args = filter_item.args
+        # 检测参数中是否有 ImageRequireSignal，如果有则传入对应数量的图像列表
+        if any(isinstance(arg, ImageRequireSignal) for arg in func_args):
+            # 替换 ImageRequireSignal 为 images 对应索引的图像
+            actual_args = []
+            img_signal_count = 1 # 从 images[1] 开始取图像
+            for arg in func_args:
+                if isinstance(arg, ImageRequireSignal):
+                    actual_args.append(images[img_signal_count])
+                    img_signal_count += 1
+                else:
+                    actual_args.append(arg)
+            func_args = actual_args
+        # 检测参数中是否有 ImagesListRequireSignal，如果有则传入整个图像列表
+        if any(isinstance(arg, ImagesListRequireSignal) for arg in func_args):
+            actual_args = []
+            for arg in func_args:
+                if isinstance(arg, ImagesListRequireSignal):
+                    actual_args.append(images)
+                else:
+                    actual_args.append(arg)
+            func_args = actual_args
+
+        images[0] = filter_func(images[0], *func_args)        
+    return images[0]
+
+async def apply_filters_to_images(images: list[Image.Image], filters: list[FilterItem]) -> BytesIO:
+    # 如果第一项是“加载图像”参数，那么就加载图像
+    if filters and filters[0].name == "加载图像":
+        load_filter = filters.pop(0)
+        # 加载全部路径
+        for path in load_filter.args:
+            img = Image.open(path)
+            images.append(img)
+
+    if len(images) <= 0:
+        raise ValueError("没有提供任何图像进行处理")
+
+    # 检测是否需要将静态图视作动图处理
+    frozen_to_move = any(
+        filter_item.name == "动图"
+        for filter_item in filters
+    )
+    static_fps = 10
+    # 找到动图参数 fps
+    if frozen_to_move:
+        for filter_item in filters:
+            if filter_item.name == "动图" and filter_item.args:
+                try:
+                    static_fps = int(filter_item.args[0])
+                except Exception:
+                    static_fps = 10
+                break
+    # 如果 image 是动图，则逐帧处理
+    img = images[0]
+    logger.debug("开始图像处理")
+    output = BytesIO()
+    if getattr(img, "is_animated", False) or frozen_to_move:
+        frames = []
+        all_frames = []
+        if getattr(img, "is_animated", False):
+            logger.debug("处理动图帧")
+            for frame in ImageSequence.Iterator(img):
+                frame_copy = frame.copy()
+                all_frames.append(frame_copy)
+        else:
+            # 将静态图视作单帧动图处理，拷贝多份
+            logger.debug("处理静态图为多帧动图")
+            for _ in range(10):  # 默认复制10帧
+                all_frames.append(img.copy())
+            img.info['duration'] = int(1000 / static_fps)
+
+        async def process_single_frame(frame: list[Image.Image], frame_idx: int) -> Image.Image:
+            """处理单帧的异步函数"""
+            logger.debug(f"开始处理帧 {frame_idx}")
+            result = await asynkio.to_thread(handle_filters_to_image, frame, images, filters)
+            logger.debug(f"完成处理帧 {frame_idx}")
+            return result[0]
+        # 并发处理所有帧
+        tasks = []
+        for i, frame in enumerate(all_frames):
+            task = process_single_frame(frame, i)
+            tasks.append(task)
+
+        frames = await asynkio.gather(*tasks, return_exceptions=True)
+
+        # 检查是否有处理失败的帧
+        for i, result in enumerate(frames):
+            if isinstance(result, Exception):
+                logger.error(f"帧 {i} 处理失败: {result}")
+                # 使用原始帧作为回退
+                frames[i] = all_frames[i]
+
+        logger.debug("保存动图")
+        frames[0].save(
+            output,
+            format="GIF",
+            save_all=True,
+            append_images=frames[1:],
+            loop=img.info.get("loop", 0),
+            disposal=img.info.get("disposal", 2),
+            duration=img.info.get("duration", 100),
+        )
+        logger.debug("Animated image saved")
+    else:
+        img = handle_filters_to_image(images=images, filters=filters)
+        img.save(output, format="PNG")
+    logger.debug("Image processing completed")
+    output.seek(0)
+    return output
+    
+def is_fx_mentioned(evt: BaseEvent, msg: UniMsg) -> bool:
+    txt = msg.extract_plain_text()
+    if "fx" not in txt[:3].lower():
+        return False
+    return True
+
+fx_on = on_message(rule=is_fx_mentioned)
+
+@fx_on.handle()
+async def _(msg: UniMsg, event: BaseEvent, target: DepLongTaskTarget, image_data: DepImageBytesOrNone = None):
+    preload_imgs = []
+    # 提取图像
+    try:
+        if image_data is not None:
+            preload_imgs.append(Image.open(BytesIO(image_data)))
+            logger.debug("Image extracted for FX processing.")
+    except Exception:
+        logger.info("No image found in message for FX processing.")
+    args = msg.extract_plain_text().split()
+    if len(args) < 2:
+        return
+
+    sender_info = SenderInfo(
+        group_id=target.channel_id,
+        qq_id=target.target_id
+    )
+
+    filters = prase_input_args(msg.extract_plain_text()[2:], sender_info=sender_info)
+    if not filters:
+        return
+    output = await apply_filters_to_images(preload_imgs, filters)
+    logger.debug("FX processing completed, sending result.")
+    await fx_on.send(await UniMessage().image(raw=output).export())
+    
--- a/konabot/plugins/fx_process/color_handle.py
+++ b/konabot/plugins/fx_process/color_handle.py
@ -0,0 +1,50 @@
+from typing import Optional
+from PIL import ImageColor
+
+class ColorHandle:
+    color_name_map = {
+        "红": (255, 0, 0),
+        "绿": (0, 255, 0),
+        "蓝": (0, 0, 255),
+        "黄": (255, 255, 0),
+        "紫": (128, 0, 128),
+        "黑": (0, 0, 0),
+        "白": (255, 255, 255),
+        "橙": (255, 165, 0),
+        "粉": (255, 192, 203),
+        "灰": (128, 128, 128),
+        "青": (0, 255, 255),
+        "靛": (75, 0, 130),
+        "棕": (165, 42, 42),
+        "浅": (200, 200, 200),
+        "深": (50, 50, 50),
+        "亮": (255, 255, 224),
+        "暗": (47, 79, 79),
+    }
+
+    @staticmethod
+    def set_or_blend_color(ori_color: Optional[tuple], target_color: tuple) -> tuple:
+        # 如果没有指定初始颜色，返回目标颜色
+        if ori_color is None:
+            return target_color
+        # 混合颜色，取平均值
+        blended_color = tuple((o + t) // 2 for o, t in zip(ori_color, target_color))
+        return blended_color
+
+    @staticmethod
+    def parse_color(color_str: str) -> tuple:
+        # 如果是纯括号，则加上前缀 rgb
+        if color_str.startswith('(') and color_str.endswith(')'):
+            color_str = 'rgb' + color_str
+        try:
+            return ImageColor.getrgb(color_str)
+        except ValueError:
+            pass
+        base_color = None
+        color_str = color_str.replace('色', '')
+        for name, rgb in ColorHandle.color_name_map.items():
+            if name in color_str:
+                base_color = ColorHandle.set_or_blend_color(base_color, rgb)
+        if base_color is not None:
+            return base_color
+        return (255, 255, 255)  # 默认白色
--- a/konabot/plugins/fx_process/fx_handle.py
+++ b/konabot/plugins/fx_process/fx_handle.py
--- a/konabot/plugins/fx_process/fx_manager.py
+++ b/konabot/plugins/fx_process/fx_manager.py
@ -0,0 +1,63 @@
+from typing import Optional
+from konabot.plugins.fx_process.fx_handle import ImageFilterEmpty, ImageFilterImplement, ImageFilterStorage
+
+class ImageFilterManager:
+    filter_map = {
+        "模糊": ImageFilterImplement.apply_blur,
+        "马赛克": ImageFilterImplement.apply_mosaic,
+        "轮廓": ImageFilterImplement.apply_contour,
+        "锐化": ImageFilterImplement.apply_sharpen,
+        "边缘增强": ImageFilterImplement.apply_edge_enhance,
+        "浮雕": ImageFilterImplement.apply_emboss,
+        "查找边缘": ImageFilterImplement.apply_find_edges,
+        "平滑": ImageFilterImplement.apply_smooth,
+        "反色": ImageFilterImplement.apply_invert,
+        "黑白": ImageFilterImplement.apply_black_white,
+        "阈值": ImageFilterImplement.apply_threshold,
+        "对比度": ImageFilterImplement.apply_contrast,
+        "亮度": ImageFilterImplement.apply_brightness,
+        "色彩": ImageFilterImplement.apply_color,
+        "色调": ImageFilterImplement.apply_to_color,
+        "缩放": ImageFilterImplement.apply_resize,
+        "波纹": ImageFilterImplement.apply_wave,
+        "色键": ImageFilterImplement.apply_color_key,
+        "暗角": ImageFilterImplement.apply_vignette,
+        "发光": ImageFilterImplement.apply_glow,
+        "RGB分离": ImageFilterImplement.apply_rgb_split,
+        "光学补偿": ImageFilterImplement.apply_optical_compensation,
+        "球面化": ImageFilterImplement.apply_spherize,
+        "旋转": ImageFilterImplement.apply_rotate,
+        "透视变换": ImageFilterImplement.apply_perspective_transform,
+        "裁剪": ImageFilterImplement.apply_crop,
+        "噪点": ImageFilterImplement.apply_noise,
+        "平移": ImageFilterImplement.apply_translate,
+        "拓展边缘": ImageFilterImplement.apply_expand_edges,
+        "素描": ImageFilterImplement.apply_sketch,
+        "叠加颜色": ImageFilterImplement.apply_gradient_overlay,
+        "阴影": ImageFilterImplement.apply_shadow,
+        "径向模糊": ImageFilterImplement.apply_radial_blur,
+        "旋转模糊": ImageFilterImplement.apply_spin_blur,
+        "方向模糊": ImageFilterImplement.apply_directional_blur,
+        "边缘模糊": ImageFilterImplement.apply_focus_blur,
+        "缩放模糊": ImageFilterImplement.apply_zoom_blur,
+        "镜像": ImageFilterImplement.apply_mirror_half,
+        "水平翻转": ImageFilterImplement.apply_flip_horizontal,
+        "垂直翻转": ImageFilterImplement.apply_flip_vertical,
+        "复制": ImageFilterImplement.copy_area,
+        "晃动": ImageFilterImplement.apply_random_wiggle,
+        "动图": ImageFilterEmpty.empty_filter_param,
+        "像素抖动": ImageFilterImplement.apply_pixel_jitter,
+        "存入图像": ImageFilterStorage.store_image,
+        "读取图像": ImageFilterStorage.load_image,
+        "暂存图像": ImageFilterStorage.temp_store_image,
+    }
+
+    @classmethod
+    def get_filter(cls, name: str) -> Optional[callable]:
+        return cls.filter_map.get(name)
+    
+    @classmethod
+    def has_filter(cls, name: str) -> bool:
+        return name in cls.filter_map
+    
+    
--- a/konabot/plugins/fx_process/gradient.py
+++ b/konabot/plugins/fx_process/gradient.py
@ -0,0 +1,341 @@
+import re
+from konabot.plugins.fx_process.color_handle import ColorHandle
+import numpy as np
+from PIL import Image, ImageDraw
+from typing import List, Tuple, Dict, Optional
+
+class GradientGenerator:
+    """渐变生成器类"""
+    
+    def __init__(self):
+        self.has_numpy = hasattr(np, '__version__')
+    
+    def parse_color_list(self, color_list_str: str) -> List[Dict]:
+        """解析渐变颜色列表字符串
+        
+        Args:
+            color_list_str: 格式如 '[rgb(255,0,0)|(0,0),rgb(0,255,0)|(0,100),rgb(0,0,255)|(50,100)]'
+        
+        Returns:
+            list: 包含颜色和位置信息的字典列表
+        """
+        color_nodes = []
+        color_list_str = color_list_str.strip('[] ').strip()
+        pattern = r'([^|]+)\|\(([^)]+)\)'
+        matches = re.findall(pattern, color_list_str)
+        
+        for color_str, pos_str in matches:
+            color = ColorHandle.parse_color(color_str.strip())
+            
+            try:
+                x_str, y_str = pos_str.split(',')
+                x_percent = float(x_str.strip().replace('%', ''))
+                y_percent = float(y_str.strip().replace('%', ''))
+                x_percent = max(0, min(100, x_percent))
+                y_percent = max(0, min(100, y_percent))
+            except:
+                x_percent = 0
+                y_percent = 0
+            
+            color_nodes.append({
+                'color': color,
+                'position': (x_percent / 100.0, y_percent / 100.0)
+            })
+        
+        if not color_nodes:
+            color_nodes = [
+                {'color': (255, 0, 0), 'position': (0, 0)},
+                {'color': (0, 0, 255), 'position': (1, 1)}
+            ]
+        
+        return color_nodes
+    
+    def create_gradient(self, width: int, height: int, color_nodes: List[Dict]) -> Image.Image:
+        """创建渐变图像
+        
+        Args:
+            width: 图像宽度
+            height: 图像高度
+            color_nodes: 颜色节点列表
+        
+        Returns:
+            Image.Image: 渐变图像
+        """
+        if len(color_nodes) == 1:
+            return Image.new('RGB', (width, height), color_nodes[0]['color'])
+        elif len(color_nodes) == 2:
+            return self._create_linear_gradient(width, height, color_nodes)
+        else:
+            return self._create_radial_gradient(width, height, color_nodes)
+    
+    def _create_linear_gradient(self, width: int, height: int, color_nodes: List[Dict]) -> Image.Image:
+        """创建线性渐变"""
+        color1 = color_nodes[0]['color']
+        color2 = color_nodes[1]['color']
+        pos1 = color_nodes[0]['position']
+        pos2 = color_nodes[1]['position']
+        
+        if self.has_numpy:
+            return self._create_linear_gradient_numpy(width, height, color1, color2, pos1, pos2)
+        else:
+            return self._create_linear_gradient_pil(width, height, color1, color2, pos1, pos2)
+    
+    def _create_linear_gradient_numpy(self, width: int, height: int, 
+                                    color1: Tuple, color2: Tuple, 
+                                    pos1: Tuple, pos2: Tuple) -> Image.Image:
+        """使用numpy创建线性渐变"""
+        # 创建坐标网格
+        x = np.linspace(0, 1, width)
+        y = np.linspace(0, 1, height)
+        xx, yy = np.meshgrid(x, y)
+        
+        # 计算渐变方向
+        dx = pos2[0] - pos1[0]
+        dy = pos2[1] - pos1[1]
+        length_sq = dx * dx + dy * dy
+        
+        if length_sq > 0:
+            # 计算投影参数
+            t = ((xx - pos1[0]) * dx + (yy - pos1[1]) * dy) / length_sq
+            t = np.clip(t, 0, 1)
+        else:
+            t = np.zeros_like(xx)
+        
+        # 插值颜色
+        r = color1[0] + (color2[0] - color1[0]) * t
+        g = color1[1] + (color2[1] - color1[1]) * t
+        b = color1[2] + (color2[2] - color1[2]) * t
+        
+        # 创建图像
+        gradient_array = np.stack([r, g, b], axis=-1).astype(np.uint8)
+        return Image.fromarray(gradient_array)
+    
+    def _create_linear_gradient_pil(self, width: int, height: int, 
+                                   color1: Tuple, color2: Tuple, 
+                                   pos1: Tuple, pos2: Tuple) -> Image.Image:
+        """使用PIL创建线性渐变（没有numpy时使用）"""
+        gradient = Image.new('RGB', (width, height))
+        draw = ImageDraw.Draw(gradient)
+        
+        # 判断渐变方向
+        if abs(pos1[0] - pos2[0]) < 0.01:  # 垂直渐变
+            y1 = int(pos1[1] * (height - 1))
+            y2 = int(pos2[1] * (height - 1))
+            
+            if y2 < y1:
+                y1, y2 = y2, y1
+                color1, color2 = color2, color1
+            
+            if y2 > y1:
+                for y in range(height):
+                    if y <= y1:
+                        fill_color = color1
+                    elif y >= y2:
+                        fill_color = color2
+                    else:
+                        ratio = (y - y1) / (y2 - y1)
+                        r = int(color1[0] + (color2[0] - color1[0]) * ratio)
+                        g = int(color1[1] + (color2[1] - color1[1]) * ratio)
+                        b = int(color1[2] + (color2[2] - color1[2]) * ratio)
+                        fill_color = (r, g, b)
+                    
+                    draw.line([(0, y), (width, y)], fill=fill_color)
+            else:
+                draw.rectangle([0, 0, width, height], fill=color1)
+                
+        elif abs(pos1[1] - pos2[1]) < 0.01:  # 水平渐变
+            x1 = int(pos1[0] * (width - 1))
+            x2 = int(pos2[0] * (width - 1))
+            
+            if x2 < x1:
+                x1, x2 = x2, x1
+                color1, color2 = color2, color1
+            
+            if x2 > x1:
+                for x in range(width):
+                    if x <= x1:
+                        fill_color = color1
+                    elif x >= x2:
+                        fill_color = color2
+                    else:
+                        ratio = (x - x1) / (x2 - x1)
+                        r = int(color1[0] + (color2[0] - color1[0]) * ratio)
+                        g = int(color1[1] + (color2[1] - color1[1]) * ratio)
+                        b = int(color1[2] + (color2[2] - color1[2]) * ratio)
+                        fill_color = (r, g, b)
+                    
+                    draw.line([(x, 0), (x, height)], fill=fill_color)
+            else:
+                draw.rectangle([0, 0, width, height], fill=color1)
+                
+        else:  # 对角渐变（简化处理为左上到右下）
+            for y in range(height):
+                for x in range(width):
+                    distance = (x/width + y/height) / 2
+                    r = int(color1[0] + (color2[0] - color1[0]) * distance)
+                    g = int(color1[1] + (color2[1] - color1[1]) * distance)
+                    b = int(color1[2] + (color2[2] - color1[2]) * distance)
+                    draw.point((x, y), fill=(r, g, b))
+        
+        return gradient
+    
+    def _create_radial_gradient(self, width: int, height: int, color_nodes: List[Dict]) -> Image.Image:
+        """创建径向渐变"""
+        if self.has_numpy and len(color_nodes) > 2:
+            return self._create_radial_gradient_numpy(width, height, color_nodes)
+        else:
+            return self._create_simple_gradient(width, height, color_nodes)
+    
+    def _create_radial_gradient_numpy(self, width: int, height: int, color_nodes: List[Dict]) -> Image.Image:
+        """使用numpy创建径向渐变（多色）"""
+        # 创建坐标网格
+        x = np.linspace(0, 1, width)
+        y = np.linspace(0, 1, height)
+        xx, yy = np.meshgrid(x, y)
+        
+        # 提取颜色和位置
+        positions = np.array([node['position'] for node in color_nodes])
+        colors = np.array([node['color'] for node in color_nodes])
+        
+        # 计算每个点到所有节点的距离
+        distances = np.sqrt((xx[:, :, np.newaxis] - positions[np.newaxis, np.newaxis, :, 0]) ** 2 +
+                           (yy[:, :, np.newaxis] - positions[np.newaxis, np.newaxis, :, 1]) ** 2)
+        
+        # 找到最近的两个节点
+        sorted_indices = np.argsort(distances, axis=2)
+        nearest_idx = sorted_indices[:, :, 0]
+        second_idx = sorted_indices[:, :, 1]
+        
+        # 获取对应的颜色
+        nearest_colors = colors[nearest_idx]
+        second_colors = colors[second_idx]
+        
+        # 获取距离并计算权重
+        nearest_dist = np.take_along_axis(distances, np.expand_dims(nearest_idx, axis=2), axis=2)[:, :, 0]
+        second_dist = np.take_along_axis(distances, np.expand_dims(second_idx, axis=2), axis=2)[:, :, 0]
+        
+        total_dist = nearest_dist + second_dist
+        mask = total_dist > 0
+        weight1 = np.zeros_like(nearest_dist)
+        weight1[mask] = second_dist[mask] / total_dist[mask]
+        weight2 = 1 - weight1
+        
+        # 插值颜色
+        r = nearest_colors[:, :, 0] * weight1 + second_colors[:, :, 0] * weight2
+        g = nearest_colors[:, :, 1] * weight1 + second_colors[:, :, 1] * weight2
+        b = nearest_colors[:, :, 2] * weight1 + second_colors[:, :, 2] * weight2
+        
+        gradient_array = np.stack([r, g, b], axis=-1).astype(np.uint8)
+        return Image.fromarray(gradient_array)
+    
+    def _create_simple_gradient(self, width: int, height: int, color_nodes: List[Dict]) -> Image.Image:
+        """创建简化渐变（没有numpy或多色时使用）"""
+        gradient = Image.new('RGB', (width, height))
+        draw = ImageDraw.Draw(gradient)
+        
+        if len(color_nodes) >= 2:
+            # 使用第一个和最后一个颜色创建简单渐变
+            color1 = color_nodes[0]['color']
+            color2 = color_nodes[-1]['color']
+            
+            # 判断节点分布
+            x_positions = [node['position'][0] for node in color_nodes]
+            y_positions = [node['position'][1] for node in color_nodes]
+            
+            if all(abs(x - x_positions[0]) < 0.01 for x in x_positions):
+                # 垂直渐变
+                for y in range(height):
+                    ratio = y / (height - 1) if height > 1 else 0
+                    r = int(color1[0] + (color2[0] - color1[0]) * ratio)
+                    g = int(color1[1] + (color2[1] - color1[1]) * ratio)
+                    b = int(color1[2] + (color2[2] - color1[2]) * ratio)
+                    draw.line([(0, y), (width, y)], fill=(r, g, b))
+            else:
+                # 水平渐变
+                for x in range(width):
+                    ratio = x / (width - 1) if width > 1 else 0
+                    r = int(color1[0] + (color2[0] - color1[0]) * ratio)
+                    g = int(color1[1] + (color2[1] - color1[1]) * ratio)
+                    b = int(color1[2] + (color2[2] - color1[2]) * ratio)
+                    draw.line([(x, 0), (x, height)], fill=(r, g, b))
+        else:
+            # 单色
+            draw.rectangle([0, 0, width, height], fill=color_nodes[0]['color'])
+        
+        return gradient
+    
+    def create_simple_gradient(self, width: int, height: int, 
+                              start_color: Tuple, end_color: Tuple, 
+                              direction: str = 'vertical') -> Image.Image:
+        """创建简单双色渐变
+        
+        Args:
+            width: 图像宽度
+            height: 图像高度
+            start_color: 起始颜色
+            end_color: 结束颜色
+            direction: 渐变方向 'vertical', 'horizontal', 'diagonal'
+        
+        Returns:
+            Image.Image: 渐变图像
+        """
+        if direction == 'vertical':
+            return self._create_vertical_gradient(width, height, start_color, end_color)
+        elif direction == 'horizontal':
+            return self._create_horizontal_gradient(width, height, start_color, end_color)
+        else:  # diagonal
+            return self._create_diagonal_gradient(width, height, start_color, end_color)
+    
+    def _create_vertical_gradient(self, width: int, height: int, 
+                                 color1: Tuple, color2: Tuple) -> Image.Image:
+        """创建垂直渐变"""
+        gradient = Image.new('RGB', (width, height))
+        draw = ImageDraw.Draw(gradient)
+        
+        for y in range(height):
+            ratio = y / (height - 1) if height > 1 else 0
+            r = int(color1[0] + (color2[0] - color1[0]) * ratio)
+            g = int(color1[1] + (color2[1] - color1[1]) * ratio)
+            b = int(color1[2] + (color2[2] - color1[2]) * ratio)
+            draw.line([(0, y), (width, y)], fill=(r, g, b))
+        
+        return gradient
+    
+    def _create_horizontal_gradient(self, width: int, height: int, 
+                                   color1: Tuple, color2: Tuple) -> Image.Image:
+        """创建水平渐变"""
+        gradient = Image.new('RGB', (width, height))
+        draw = ImageDraw.Draw(gradient)
+        
+        for x in range(width):
+            ratio = x / (width - 1) if width > 1 else 0
+            r = int(color1[0] + (color2[0] - color1[0]) * ratio)
+            g = int(color1[1] + (color2[1] - color1[1]) * ratio)
+            b = int(color1[2] + (color2[2] - color1[2]) * ratio)
+            draw.line([(x, 0), (x, height)], fill=(r, g, b))
+        
+        return gradient
+    
+    def _create_diagonal_gradient(self, width: int, height: int, 
+                                 color1: Tuple, color2: Tuple) -> Image.Image:
+        """创建对角渐变"""
+        if self.has_numpy:
+            return self._create_diagonal_gradient_numpy(width, height, color1, color2)
+        else:
+            return self._create_horizontal_gradient(width, height, color1, color2)  # 降级为水平渐变
+    
+    def _create_diagonal_gradient_numpy(self, width: int, height: int, 
+                                       color1: Tuple, color2: Tuple) -> Image.Image:
+        """使用numpy创建对角渐变"""
+        x = np.linspace(0, 1, width)
+        y = np.linspace(0, 1, height)
+        xx, yy = np.meshgrid(x, y)
+        
+        distance = (xx + yy) / 2.0
+        
+        r = color1[0] + (color2[0] - color1[0]) * distance
+        g = color1[1] + (color2[1] - color1[1]) * distance
+        b = color1[2] + (color2[2] - color1[2]) * distance
+        
+        gradient_array = np.stack([r, g, b], axis=-1).astype(np.uint8)
+        return Image.fromarray(gradient_array)
--- a/konabot/plugins/fx_process/image_storage.py
+++ b/konabot/plugins/fx_process/image_storage.py
@ -0,0 +1,150 @@
+import asyncio
+from dataclasses import dataclass
+from hashlib import md5
+import time
+
+from nonebot import logger
+from nonebot_plugin_apscheduler import driver
+from konabot.common.path import DATA_PATH
+import os
+from PIL import Image
+
+IMAGE_PATH = DATA_PATH / "temp" / "images"
+
+@dataclass
+class ImageResource:
+    name: str
+    expire: int
+
+@dataclass
+class StorageImage:
+    name: str
+    resources: dict[str,
+                    dict[str,ImageResource]] # {群号: {QQ号: ImageResource}}
+
+class ImageStorager:
+    images_pool: dict[str,StorageImage] = {}
+
+    max_storage: int = 10 * 1024 * 1024  # 最大存储10MB
+    max_image_count: int = 200  # 最大存储图片数量
+
+    @staticmethod
+    def init():
+        if not IMAGE_PATH.exists():
+            IMAGE_PATH.mkdir(parents=True, exist_ok=True)
+
+    @staticmethod
+    def delete_path_image(name: str):
+        resource_path = IMAGE_PATH / name
+        if resource_path.exists():
+            os.remove(resource_path)
+
+    @classmethod
+    async def clear_expire_image(cls):
+        # 清理过期的图片资源，将未被删除的放入列表中，如果超过最大数量则删除最早过期的
+        remaining_images = []
+        current_time = time.time()
+        for name, storage_image in list(ImageStorager.images_pool.items()):
+            for group_id, resources in list(storage_image.resources.items()):
+                for qq_id, resource in list(resources.items()):
+                    if resource.expire < current_time:
+                        del storage_image.resources[group_id][qq_id]
+                        cls.delete_path_image(name)
+                    else:
+                        remaining_images.append((name, group_id, qq_id, resource.expire))
+            if not storage_image.resources:
+                del ImageStorager.images_pool[name]
+        # 如果剩余图片超过最大数量，按过期时间排序并删除最早过期的
+        if len(remaining_images) > ImageStorager.max_image_count:
+            remaining_images.sort(key=lambda x: x[3])  # 按过期时间排序
+            to_delete = len(remaining_images) - ImageStorager.max_image_count
+            for i in range(to_delete):
+                name, group_id, qq_id, _ = remaining_images[i]
+                resource = ImageStorager.images_pool[name].resources[group_id][qq_id]
+                del ImageStorager.images_pool[name].resources[group_id][qq_id]
+                cls.delete_path_image(name)
+
+    @classmethod
+    def _add_to_pool(cls, image: bytes, name: str, group_id: str, qq_id: str, expire: int = 36000):
+        expire_time = time.time() + expire
+        if name not in cls.images_pool:
+            cls.images_pool[name] = StorageImage(name=name,resources={})
+        if group_id not in cls.images_pool[name].resources:
+            cls.images_pool[name].resources[group_id] = {}
+        cls.images_pool[name].resources[group_id][qq_id] = ImageResource(name=name, expire=expire_time)
+
+    @classmethod
+    def save_image(cls, image: bytes, name: str, group_id: str, qq_id: str) -> None:
+        """
+        以哈希值命名保存图片，并返回图片资源信息
+        """
+        # 检测图像大小，不得超过 10 MB
+        if len(image) > cls.max_storage:
+            raise ValueError("图片大小超过 10 MB 限制")
+        hash_name = md5(image).hexdigest()
+        ext = os.path.splitext(name)[1]
+        file_name = f"{hash_name}{ext}"
+        full_path = IMAGE_PATH / file_name
+        with open(full_path, "wb") as f:
+            f.write(image)
+        # 将文件写入 images_pool
+        cls._add_to_pool(image, file_name, group_id, qq_id)
+
+    @classmethod
+    def load_image(cls, name: str, group_id: str, qq_id: str) -> Image:
+        if name not in cls.images_pool:
+            return None
+        if group_id not in cls.images_pool[name].resources:
+            return None
+        # 寻找对应 QQ 号 的资源，如果没有就返回相同群下的第一个资源
+        if qq_id not in cls.images_pool[name].resources[group_id]:
+            first_qq_id = next(iter(cls.images_pool[name].resources[group_id]))
+            qq_id = first_qq_id
+        resource = cls.images_pool[name].resources[group_id][qq_id]
+        resource_path = IMAGE_PATH / resource.name
+        return Image.open(resource_path)
+
+class ImageStoragerManager:
+    def __init__(self, interval: int = 300):  # 默认 5 分钟执行一次
+        self.interval = interval
+        self._clear_task = None
+        self._running = False
+        
+    async def start_auto_clear(self):
+        """启动自动任务"""
+        self._running = True
+        self._clear_task = asyncio.create_task(self._auto_clear_loop())
+            
+        logger.info(f"自动清理任务已启动，间隔: {self.interval}秒")
+    
+    async def stop_auto_clear(self):
+        """停止自动清理任务"""
+        if self._clear_task:
+            self._running = False
+            self._clear_task.cancel()
+            try:
+                await self._clear_task
+            except asyncio.CancelledError:
+                pass
+            logger.info("自动清理任务已停止")
+        else:
+            logger.warning("没有正在运行的自动清理任务")
+        
+    async def _auto_clear_loop(self):
+        """自动清理循环"""
+        while self._running:
+            try:
+                await asyncio.sleep(self.interval)
+                await ImageStorager.clear_expire_image()
+            except asyncio.CancelledError:
+                break
+            except Exception as e:
+                logger.error(f"定时清理失败: {e}")
+
+image_manager = ImageStoragerManager(interval=300)  # 每5分钟清理一次
+
+@driver.on_startup
+async def init_image_storage():
+    ImageStorager.init()
+    # 启用定时任务清理过期图片
+    await image_manager.start_auto_clear()
--- a/konabot/plugins/fx_process/types.py
+++ b/konabot/plugins/fx_process/types.py
@ -0,0 +1,20 @@
+from dataclasses import dataclass
+
+
+@dataclass
+class FilterItem:
+    name: str
+    filter: callable
+    args: list
+
+class ImageRequireSignal:
+    pass
+
+@dataclass
+class ImagesListRequireSignal:
+    pass
+
+@dataclass
+class SenderInfo:
+    group_id: str
+    qq_id: str
--- a/konabot/plugins/image_process/init.py
+++ b/konabot/plugins/image_process/init.py
@ -6,24 +6,11 @@ import PIL
 import PIL.Image
 import cv2
 import imageio.v3 as iio
-from nonebot import on_message
-from nonebot.adapters import Bot
 from nonebot_plugin_alconna import Alconna, Args, Image, Option, UniMessage, on_alconna
 import numpy

 from konabot.common.nb.exc import BotExceptionMessage
-from konabot.common.nb.extract_image import DepImageBytes, DepPILImage
-from konabot.common.nb.match_keyword import match_keyword
-from konabot.common.nb.reply_image import reply_image
-
-# 保持不变
-cmd_black_white = on_message(rule=match_keyword("黑白"))
-
-
-@cmd_black_white.handle()
-async def _(img: DepPILImage, bot: Bot):
-    # 保持不变
-    await reply_image(cmd_black_white, bot, img.convert("LA"))
+from konabot.common.nb.extract_image import DepImageBytes


 # 保持不变
--- a/konabot/plugins/kona_ph/init.py
+++ b/konabot/plugins/kona_ph/init.py
@ -10,7 +10,9 @@ from nonebot_plugin_alconna import (Alconna, Args, UniMessage, UniMsg,
                                    on_alconna)
 from nonebot_plugin_apscheduler import scheduler

+from konabot.common import username
 from konabot.common.longtask import DepLongTaskTarget
+from konabot.common.pager import PagerQuery
 from konabot.plugins.kona_ph.core.message import (get_daily_report,
                                                  get_daily_report_v2,
                                                  get_puzzle_description,
@ -76,7 +78,7 @@ async def _(target: DepLongTaskTarget):


 cmd_history = on_alconna(Alconna(
-    "历史题目",
+    "re:历史(题目|谜题)",
    Args["page?", int],
    Args["index_id?", str],
 ), rule=to_me())
@ -118,6 +120,24 @@ async def _(target: DepLongTaskTarget, index_id: str = "", page: int = 1):
        await target.send_message(msg)


+cmd_leadboard = on_alconna(Alconna(
+    "re:此方(解谜|谜题)排行榜",
+    Args["page?", int],
+))
+
+@cmd_leadboard.handle()
+async def _(target: DepLongTaskTarget, page: int = 1):
+    async with puzzle_manager() as manager:
+        result = manager.get_leadboard(PagerQuery(page, 10))
+    await target.send_message(result.to_unimessage(
+        title="此方解谜排行榜",
+        formatter=lambda data: (
+            f"✨ {data[1]} 已完成 | "
+            f"{username.get_username(data[0])}"
+        )
+    ))
+
+
@scheduler.scheduled_job("cron", hour="8")
 async def _():
    async with puzzle_manager() as manager:
--- a/konabot/plugins/kona_ph/core/image.py
+++ b/konabot/plugins/kona_ph/core/image.py
@ -17,7 +17,7 @@ class PuzzleImageManager:
            21,
        )
        img_name = f"{id}{suffix}"
-        (KONAPH_IMAGE_BASE / img_name).write_bytes(data)
+        _ = (KONAPH_IMAGE_BASE / img_name).write_bytes(data)
        return img_name

    def remove_puzzle_image(self, img_name: str):
--- a/konabot/plugins/kona_ph/core/message.py
+++ b/konabot/plugins/kona_ph/core/message.py
@ -33,7 +33,7 @@ def get_puzzle_description(puzzle: Puzzle, with_answer: bool = False) -> UniMess
        )

    result = result.text(f"\n\n出题者：{get_username(puzzle.author_id)}")
-    
+
    if with_answer:
        result = result.text(f"\n\n题目答案：{puzzle.flag}")
    else:
--- a/konabot/plugins/kona_ph/core/storage.py
+++ b/konabot/plugins/kona_ph/core/storage.py
@ -1,5 +1,6 @@
 import asyncio
 import datetime
+import functools
 import random
 import re
 from contextlib import asynccontextmanager
@ -7,6 +8,7 @@ from contextlib import asynccontextmanager
 import nanoid
 from pydantic import BaseModel, Field, ValidationError

+from konabot.common.pager import PagerQuery
 from konabot.plugins.kona_ph.core.path import KONAPH_DATA_JSON


@ -112,6 +114,10 @@ class PuzzleManager(BaseModel):

    index_id_counter: int = 1
    submissions: dict[str, dict[str, list[PuzzleSubmission]]] = {}
+    """
+    类型：{ [raw_id: str]: { [user_id: str]: PuzzleSubmission[] } }
+    """
+
    last_checked_date: datetime.date = Field(
        default_factory=lambda: get_today_date() - datetime.timedelta(days=1)
    )
@ -235,6 +241,20 @@ class PuzzleManager(BaseModel):
            if p.author_id == user
        ], key=lambda p: p.created_at, reverse=True)

+    def get_leadboard(self, pager: PagerQuery):
+        return pager.apply(sorted([
+            (user, sum((
+                len([
+                    s for s in sl.get(user, [])
+                    if s.success
+                ]) for sl in self.submissions.values()
+            )))
+            for user in functools.reduce(
+                lambda x, y: x | y,
+                (set(sl.keys()) for sl in self.submissions.values()),
+            )
+        ], key=lambda t: t[1], reverse=True))
+

 lock = asyncio.Lock()

--- a/konabot/plugins/kona_ph/manager.py
+++ b/konabot/plugins/kona_ph/manager.py
@ -10,7 +10,6 @@ from pydantic import BaseModel
 from konabot.common.longtask import DepLongTaskTarget
 from konabot.common.nb.exc import BotExceptionMessage
 from konabot.common.nb.extract_image import download_image_bytes
-from konabot.common.nb.qq_broadcast import qq_broadcast
 from konabot.common.username import get_username
 from konabot.plugins.kona_ph.core.image import get_image_manager
 from konabot.plugins.kona_ph.core.message import (get_puzzle_description, get_puzzle_hint_list,
@ -19,6 +18,7 @@ from konabot.plugins.kona_ph.core.message import (get_puzzle_description, get_pu
 from konabot.plugins.kona_ph.core.storage import (Puzzle, PuzzleHint, PuzzleManager,
                                                  get_today_date,
                                                  puzzle_manager)
+from konabot.plugins.poster.service import broadcast

 PUZZLE_PAGE_SIZE = 10

@ -344,7 +344,7 @@ def create_admin_commands():
            p = manager.get_today_puzzle(strong=True)
            if p is None:
                return await target.send_message("上架失败了orz，可能是没题了")
-            await qq_broadcast(config.plugin_puzzle_playgroup, get_puzzle_description(p))
+            await broadcast("每日谜题", get_puzzle_description(p))
            return await target.send_message("Ok!")

    @cmd_admin.assign("preview")
--- a/konabot/plugins/notice_ui/init.py
+++ b/konabot/plugins/notice_ui/init.py
@ -0,0 +1,26 @@
+from loguru import logger
+import nonebot
+from nonebot.adapters import Event as BaseEvent
+from nonebot.adapters.discord.event import MessageEvent as DiscordMessageEvent
+from nonebot_plugin_alconna import (
+    UniMessage,
+    UniMsg
+)
+from konabot.plugins.notice_ui.notice import NoticeUI
+from nonebot_plugin_alconna import on_alconna, Alconna, Args
+
+evt = on_alconna(Alconna(
+    "notice",
+    Args["title", str],
+    Args["message", str]
+    ),
+    use_cmd_start=True, use_cmd_sep=False, skip_for_unmatch=True
+)
+
+@evt.handle()
+async def _(title: str, message: str, msg: UniMsg, event: BaseEvent):
+    logger.debug(f"Received notice command with title: {title}, message: {message}")
+
+    out = await NoticeUI.render_notice(title, message)
+
+    await evt.send(await UniMessage().image(raw=out).export())
--- a/konabot/plugins/notice_ui/notice.py
+++ b/konabot/plugins/notice_ui/notice.py
@ -0,0 +1,77 @@
+from io import BytesIO
+from PIL import Image
+from konabot.common.web_render import konaweb
+from konabot.common.web_render.core import WebRenderer
+
+from playwright.async_api import Page
+
+class NoticeUI:
+    @staticmethod
+    async def render_notice(title: str, message: str) -> bytes:
+        """
+        渲染一个通知图片，包含标题和消息内容。
+        """
+        async def page_function(page: Page):
+            # 直到 setMaskMode 函数加载完成
+            await page.wait_for_function("typeof setMaskMode === 'function'", timeout=1000)
+            await page.evaluate('setMaskMode(false)')
+            # 直到 setContent 函数加载完成
+            await page.wait_for_function("typeof setContent === 'function'", timeout=1000)
+            # 设置标题和消息内容
+            await page.evaluate(f'setContent("{title}", "{message}")')
+
+        async def mask_function(page: Page):
+            # 直到 setContent 函数加载完成
+            await page.wait_for_function("typeof setContent === 'function'", timeout=1000)
+            # 设置标题和消息内容
+            await page.evaluate(f'setContent("{title}", "{message}")')
+            # 直到 setMaskMode 函数加载完成
+            await page.wait_for_function("typeof setMaskMode === 'function'", timeout=1000)
+            await page.evaluate('setMaskMode(true)')
+
+        image_bytes = await WebRenderer.render_with_persistent_page(
+            "notice_renderer",
+            konaweb('notice'),
+            target='#main',
+            other_function=page_function,
+        )
+
+        mask_bytes = await WebRenderer.render_with_persistent_page(
+            "notice_renderer",
+            konaweb('notice'),
+            target='#main',
+            other_function=mask_function)
+        
+        image = Image.open(BytesIO(image_bytes)).convert("RGBA")
+        mask = Image.open(BytesIO(mask_bytes)).convert("L")
+
+        # 使用mask作为alpha通道
+        r, g, b, _ = image.split()
+        transparent_image = Image.merge("RGBA", (r, g, b, mask))
+        
+        # 先创建一个纯白色背景，然后粘贴透明图像
+        background = Image.new("RGBA", transparent_image.size, (255, 255, 255, 255))
+        composite = Image.alpha_composite(background, transparent_image)
+        
+        palette_img = composite.convert("RGB").convert(
+            "P", 
+            palette=Image.Palette.WEB,
+            colors=256,
+            dither=Image.Dither.NONE
+        )
+        
+        # 将alpha值小于128的设为透明
+        alpha_mask = mask.point(lambda x: 0 if x < 128 else 255)
+        
+        # 保存为GIF
+        output_buffer = BytesIO()
+        palette_img.save(
+            output_buffer,
+            format="GIF",
+            transparency=0,  # 将索引0设为透明
+            disposal=2,
+            loop=0
+        )
+        
+        output_buffer.seek(0)
+        return output_buffer.getvalue()
--- a/konabot/plugins/nya_echo/init.py
+++ b/konabot/plugins/nya_echo/init.py
@ -1,9 +1,10 @@
 from nonebot import on_message
-from nonebot_plugin_alconna import UniMessage, UniMsg
+from nonebot_plugin_alconna import UniMessage

-evt = on_message()
+from konabot.common.nb.match_keyword import match_keyword
+
+evt = on_message(rule=match_keyword("喵"))

@evt.handle()
-async def _(msg: UniMsg):
-    if msg.extract_plain_text() == "喵":
-        await evt.send(await UniMessage().text("喵").export())
+async def _():
+    await evt.send(await UniMessage().text("喵").export())
--- a/konabot/plugins/simple_notify/init.py
+++ b/konabot/plugins/simple_notify/init.py
@ -1,11 +1,12 @@
+import re
 import aiohttp
 import asyncio as asynkio
 from math import ceil
 from pathlib import Path
 from typing import Any
-import datetime

 import nanoid
+from konabot.plugins.notice_ui.notice import NoticeUI
 import nonebot
 from loguru import logger
 from nonebot import get_plugin_config, on_message
@ -14,9 +15,10 @@ from nonebot_plugin_alconna import Alconna, Args, Subcommand, UniMessage, UniMsg
 from pydantic import BaseModel

 from konabot.common.longtask import DepLongTaskTarget, LongTask, create_longtask, handle_long_task, longtask_data
-from konabot.common.ptimeparse import parse
+from konabot.common.nb.match_keyword import match_keyword
+from konabot.plugins.simple_notify.ask_llm import ask_ai

-evt = on_message()
+evt = on_message(rule=match_keyword(re.compile("^.+提醒我.+$")))

 (Path(__file__).parent.parent.parent.parent / "data").mkdir(exist_ok=True)
 DATA_FILE_PATH = Path(__file__).parent.parent.parent.parent / "data" / "notify.json"
@ -76,21 +78,12 @@ async def _(msg: UniMsg, mEvt: Event, target: DepLongTaskTarget):
        return

    text = msg.extract_plain_text()
-    if "提醒我" not in text:
-        return
-
    segments = text.split("提醒我", maxsplit=1)
    if len(segments) != 2:
        return

-    notify_time, notify_text = segments
-    try:
-        target_time = parse(notify_time)
-        logger.info(f"从 {notify_time} 解析出了时间：{target_time}")
-    except Exception:
-        logger.info(f"无法从 {notify_time} 中解析出时间")
-        return
-    if not notify_text:
+    target_time, notify_text = await ask_ai(text)
+    if target_time is None:
        return

    await create_longtask(
@ -115,6 +108,11 @@ async def _(task: LongTask):
    await task.target.send_message(
        UniMessage().text(f"代办提醒：{message}")
    )
+    notice_bytes = await NoticeUI.render_notice("代办提醒", message)
+    await task.target.send_message(
+        UniMessage().image(raw=notice_bytes),
+        at=False
+    )
    async with DATA_FILE_LOCK:
        data = load_notify_config()
        if (chan := data.notify_channels.get(task.target.target_id)) is not None:
--- a/konabot/plugins/simple_notify/ask_llm.py
+++ b/konabot/plugins/simple_notify/ask_llm.py
@ -0,0 +1,158 @@
+import datetime
+import json
+import re
+
+from loguru import logger
+
+from konabot.common.apis.ali_content_safety import AlibabaGreen
+from konabot.common.llm import get_llm
+
+
+SYSTEM_PROMPT = """你是一个专门解析提醒请求的助手。请分析用户输入，识别其中是否包含提醒信息，并输出标准化的JSON格式结果。
+
+输入格式通常是："xxxx提醒我yyyy"，其中：
+- xxxx 是用户提供的时间信息
+- yyyy 是提醒内容。有些时候用户会有一些需求。你可以在合理的范围进行衍生。
+
+输出要求：
+- 必须是有效的JSON对象
+- 包含以下字段：
+  * datetime: 如果是绝对时间，填入ISO 8601格式的日期时间字符串；否则为null
+  * datetime_delta: 如果是相对时间，填入ISO 8601持续时间格式；否则为null
+  * datetime_delta_minus: 如果时间偏移量是负数，则此项为 true，否则为 false
+  * content: 提醒内容的字符串
+  * is_notice: 布尔值，表示这是否是真正的提醒请求
+
+时间处理规则：
+- 绝对时间示例：如果 xxxx 输入了非常明确的时间点，如"2024年12月25日" → 转换为具体datetime
+- 相对时间示例：如果 xxxx 没有输入非常明确的时间点，如"10分钟后"、"2小时后"、"3天后" → 转换为datetime_delta
+- 如果用户输入了需要计算的时间，你需要计算出正确的结果，如"10分钟后的8分钟前"  → 转换为 “PT2M”
+- zzzz 是系统提供的时间，每句话肯定都有，这不是你判断相对或绝对时间的依据，需严格按照 xxx 来判断
+- datetime和datetime_delta有且仅有一个不为null
+
+时间格式要求：
+- datetime: "YYYY-MM-DDTHH:MM:SS" (ISO 8601)
+- datetime_delta: "PxYxMxDTxHxMxS" 格式 (如"PT1H30M"表示1小时30分钟，"P3DT4H"表示三天四小时，"P5MT2M"表示五个月两分钟)
+
+判断标准：
+- is_notice=true: 明确包含时间+提醒内容的请求
+- is_notice=false: 闲聊、疑问句、或不符合提醒格式的内容
+
+示例：
+用户："明天下午2点提醒我开会"
+输出：{"datetime": "2024-01-16T14:00:00", "datetime_delta": null, 
+"datetime_delta_minus": false, "content": "开会", "is_notice": true}
+
+用户："5分钟后提醒我关火"
+输出：{"datetime": null, "datetime_delta": "PT5M", "datetime_delta_minus": false, "content": "关火", "is_notice": true}
+
+用户："5分钟前提醒我关火"
+输出：{"datetime": null, "datetime_delta": "PT5M", "datetime_delta_minus": true, "content": "关火", "is_notice": true}
+
+用户："五百年后提醒我关火"
+输出：{"datetime": null, "datetime_delta": "P500Y", "datetime_delta_minus": false, "content": "关火", "is_notice": true}
+
+用户："昨天提醒我关火"
+输出：{"datetime": null, "datetime_delta": "P1D", "datetime_delta_minus": true, "content": "关火", "is_notice": true}
+
+用户："什么是提醒功能？"
+输出：{"datetime": null, "datetime_delta": null, "datetime_delta_minus": false, "content": "", "is_notice": false}
+
+用户："过一会会，用可爱的语气提醒我该睡觉了"
+输出：{"datetime": null, "datetime_delta": "PT10M", "datetime_delta_minus": false, "content": "呼呼！该睡觉了哦！ヾ(•ω•`)o", "is_notice": true}
+
+请严格按照上述格式输出JSON，不要添加任何其他文字说明。现在是 DATETIME"""
+
+pt_pattern = re.compile(
+    r"^P"
+    r"((?P<year>\d+)Y)?"
+    r"((?P<month>\d+)M)?"
+    r"((?P<day>\d+)D)?"
+    r"(T((?P<hour>\d+)H)?"
+    r"((?P<minute>\d+)M)?"
+    r"((?P<second>\d+)S)?)?$"
+)
+
+
+def tryint(s: str | None):
+    if s:
+        if re.match(r"^\d+$", s):
+            return int(s)
+    return 0
+
+
+async def ask_ai(expression: str, now: datetime.datetime | None = None) -> tuple[datetime.datetime | None, str]:
+    if now is None:
+        now = datetime.datetime.now()
+    prompt = SYSTEM_PROMPT.replace("DATETIME", f"{now}, 星期 {now.weekday() + 1}")
+
+    is_safe = await AlibabaGreen.detect(expression)
+    if not is_safe:
+        logger.info(f"提醒功能：消息被阿里绿网拦截 message={expression}")
+        return None, ""
+
+    llm = get_llm("qwen3-max")
+    message = await llm.chat([
+        { "role": "system", "content": prompt },
+        { "role": "user", "content": expression },
+    ])
+    result = message.content
+    if result is None:
+        return (None, "")
+
+    try:
+        data = json.loads(result)
+    except json.JSONDecodeError:
+        logger.info(f"提醒功能：解析 AI 返回值时出现问题 raw={result}")
+        return (None, "")
+
+    datetime_absolute = data.get("datetime", None)
+    datetime_delta = data.get("datetime_delta", None)
+    is_minus = data.get("datetime_delta_minus", False)
+    content = data.get("content", "")
+    is_notice = data.get("is_notice", False)
+
+    if not is_notice:
+        return (None, "")
+    if datetime_absolute:
+        try:
+            res = datetime.datetime.strptime(datetime_absolute, "%Y-%m-%dT%H:%M:%S"), content
+            logger.info(f"提醒功能：使用绝对时间解析 AI 返回值 raw={result} target={res[0]}")
+            return res
+        except ValueError:
+            pass
+
+    if datetime_delta and (match := pt_pattern.match(datetime_delta)):
+        years = tryint(match.group("year"))
+        months = tryint(match.group("month"))
+        days = tryint(match.group("day"))
+        hours = tryint(match.group("hour"))
+        minutes = tryint(match.group("minute"))
+        seconds = tryint(match.group("second"))
+
+        dt = datetime.timedelta(days=days, hours=hours, minutes=minutes, seconds=seconds)
+        if is_minus:
+            dt = -dt
+        if is_minus:
+            now2 = now.replace(year=now.year - years)
+            m = now2.month
+            if (months - m) >= 0:
+                neg_months = -(m - months - 1)
+                neg_years = (neg_months + 11) // 12
+                target_month = 12 - ((neg_months - 1) % 12)
+                now2 = now2.replace(year=now2.year - neg_years, month=target_month)
+            else:
+                now2 = now2.replace(month=m - months)
+        else:
+            now2 = now.replace(year=now.year + years)
+            m = now2.month
+            now2 = now2.replace(
+                year=now2.year + (m + months - 1) // 12,
+                month=(m + months - 1) % 12 + 1
+            )
+        logger.info(f"提醒功能：使用相对时间解析 AI 返回值 raw={result} target={now2+dt}")
+        return (now2 + dt, content)
+
+    logger.warning(f"提醒功能：解析 AI 返回值时没有找到解析方法 raw={result}")
+    return (None, "")
+
--- a/konabot/plugins/tqszm/init.py
+++ b/konabot/plugins/tqszm/init.py
@ -0,0 +1,71 @@
+"""
+提取首字母
+
+...谁需要啊！！！
+"""
+
+import functools
+
+from loguru import logger
+from nonebot import on_message
+from nonebot.rule import KeywordsRule, Rule, ToMeRule
+from nonebot.adapters.onebot.v11.bot import Bot as OBBot
+from nonebot.adapters.onebot.v11.event import MessageEvent as OBMessageEvent
+from nonebot.adapters.onebot.v11.message import MessageSegment as OBMessageSegment
+from nonebot_plugin_alconna import Text, UniMsg
+from nonebot_plugin_alconna.uniseg.adapters.onebot11.builder import Onebot11MessageBuilder
+from pypinyin import pinyin, Style as PinyinStyle
+
+from konabot.common.longtask import DepLongTaskTarget
+from konabot.common.apis.ali_content_safety import AlibabaGreen
+
+
+keywords = ("szmtq", "tqszm", "提取首字母", "首字母提取", )
+
+
+cmd_tqszm = on_message(rule=Rule(ToMeRule(), KeywordsRule(*keywords)))
+
+@cmd_tqszm.handle()
+async def _(target: DepLongTaskTarget, msg: UniMsg, evt: OBMessageEvent | None = None, bot: OBBot | None = None):
+    texts = ""
+    command_occurred = False
+    is_reply_mode = False
+
+    if evt is not None and bot is not None:
+        reply = await Onebot11MessageBuilder().extract_reply(evt, bot)
+        if reply is not None:
+            is_reply_mode = True
+            for seg in reply.data.get('msg', []):
+                if isinstance(seg, OBMessageSegment) and seg.type == 'text':
+                    segtext: str = seg.data.get('text', '')
+                    texts += segtext
+
+    if is_reply_mode:
+        for seg in msg:
+            if isinstance(seg, Text):
+                if all(seg.text.strip() != k for k in keywords):
+                    return
+    else:
+        for seg in msg:
+            if isinstance(seg, Text):
+                if command_occurred:
+                    texts += seg.text
+                    continue
+                if any(seg.text.startswith(w) for w in keywords):
+                    command_occurred = True
+                    texts += next(
+                        seg.text.removeprefix(w) for w in keywords
+                        if seg.text.startswith(w)
+                    ).removeprefix(" ")
+
+    result = pinyin(texts, style=PinyinStyle.FIRST_LETTER, errors=lambda x: x)
+    print(result)
+    result_text = functools.reduce(lambda x, y: x + y, [
+        p[0] for p in result if len(p) > 0
+    ], "")
+
+    if not await AlibabaGreen.detect(result_text):
+        logger.info(f"对首字母序列的检测未通过安全测试 RAW={texts} FORMATTED={result_text}")
+
+    await target.send_message(result_text, at=False)
+
--- a/poetry.lock
+++ b/poetry.lock
@ -20,6 +20,23 @@ type = "legacy"
 url = "https://pypi.tuna.tsinghua.edu.cn/simple"
 reference = "mirrors"

+[[package]]
+name = "aiofiles"
+version = "24.1.0"
+description = "File support for asyncio."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"},
+    {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"},
+]
+
+[package.source]
+type = "legacy"
+url = "https://pypi.tuna.tsinghua.edu.cn/simple"
+reference = "mirrors"
+
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
@ -233,6 +250,187 @@ type = "legacy"
 url = "https://pypi.tuna.tsinghua.edu.cn/simple"
 reference = "mirrors"

+[[package]]
+name = "alibabacloud-credentials"
+version = "1.0.3"
+description = "The alibabacloud credentials module of alibabaCloud Python SDK."
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "alibabacloud-credentials-1.0.3.tar.gz", hash = "sha256:9d8707e96afc6f348e23f5677ed15a21c2dfce7cfe6669776548ee4c80e1dfaf"},
+    {file = "alibabacloud_credentials-1.0.3-py3-none-any.whl", hash = "sha256:30c8302f204b663c655d97e1c283ee9f9f84a6257d7901b931477d6cf34445a8"},
+]
+
+[package.dependencies]
+aiofiles = ">=22.1.0,<25.0.0"
+alibabacloud-credentials-api = ">=1.0.0,<2.0.0"
+alibabacloud-tea = ">=0.4.0"
+APScheduler = ">=3.10.0,<4.0.0"
+
+[package.source]
+type = "legacy"
+url = "https://pypi.tuna.tsinghua.edu.cn/simple"
+reference = "mirrors"
+
+[[package]]
+name = "alibabacloud-credentials-api"
+version = "1.0.0"
+description = "Alibaba Cloud Gateway SPI SDK Library for Python"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "alibabacloud-credentials-api-1.0.0.tar.gz", hash = "sha256:8c340038d904f0218d7214a8f4088c31912bfcf279af2cbc7d9be4897a97dd2f"},
+]
+
+[package.source]
+type = "legacy"
+url = "https://pypi.tuna.tsinghua.edu.cn/simple"
+reference = "mirrors"
+
+[[package]]
+name = "alibabacloud-endpoint-util"
+version = "0.0.4"
+description = "The endpoint-util module of alibabaCloud Python SDK."
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "alibabacloud_endpoint_util-0.0.4.tar.gz", hash = "sha256:a593eb8ddd8168d5dc2216cd33111b144f9189fcd6e9ca20e48f358a739bbf90"},
+]
+
+[package.source]
+type = "legacy"
+url = "https://pypi.tuna.tsinghua.edu.cn/simple"
+reference = "mirrors"
+
+[[package]]
+name = "alibabacloud-gateway-spi"
+version = "0.0.3"
+description = "Alibaba Cloud Gateway SPI SDK Library for Python"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
+    {file = "alibabacloud_gateway_spi-0.0.3.tar.gz", hash = "sha256:10d1c53a3fc5f87915fbd6b4985b98338a776e9b44a0263f56643c5048223b8b"},
+]
+
+[package.dependencies]
+alibabacloud_credentials = ">=0.3.4"
+
+[package.source]
+type = "legacy"
+url = "https://pypi.tuna.tsinghua.edu.cn/simple"
+reference = "mirrors"
+
+[[package]]
+name = "alibabacloud-green20220302"
+version = "3.0.1"
+description = "Alibaba Cloud Green (20220302) SDK Library for Python"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
+    {file = "alibabacloud_green20220302-3.0.1-py3-none-any.whl", hash = "sha256:01cd4a402f8de45423cf5c52c59fc696255ef5f291c3e1e10ac4985033e3e1d9"},
+    {file = "alibabacloud_green20220302-3.0.1.tar.gz", hash = "sha256:083ad03e7c553ec127b69ad5b039f42aaac10730784df319ead2f8a0d8ee928a"},
+]
+
+[package.dependencies]
+alibabacloud-endpoint-util = ">=0.0.4,<1.0.0"
+alibabacloud-openapi-util = ">=0.2.2,<1.0.0"
+alibabacloud-tea-openapi = ">=0.3.16,<1.0.0"
+alibabacloud-tea-util = ">=0.3.13,<1.0.0"
+
+[package.source]
+type = "legacy"
+url = "https://pypi.tuna.tsinghua.edu.cn/simple"
+reference = "mirrors"
+
+[[package]]
+name = "alibabacloud-openapi-util"
+version = "0.2.2"
+description = "Aliyun Tea OpenApi Library for Python"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "alibabacloud_openapi_util-0.2.2.tar.gz", hash = "sha256:ebbc3906f554cb4bf8f513e43e8a33e8b6a3d4a0ef13617a0e14c3dda8ef52a8"},
+]
+
+[package.dependencies]
+alibabacloud_tea_util = ">=0.0.2"
+cryptography = ">=3.0.0"
+
+[package.source]
+type = "legacy"
+url = "https://pypi.tuna.tsinghua.edu.cn/simple"
+reference = "mirrors"
+
+[[package]]
+name = "alibabacloud-tea"
+version = "0.4.3"
+description = "The tea module of alibabaCloud Python SDK."
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "alibabacloud-tea-0.4.3.tar.gz", hash = "sha256:ec8053d0aa8d43ebe1deb632d5c5404339b39ec9a18a0707d57765838418504a"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.7.0,<4.0.0"
+requests = ">=2.21.0,<3.0.0"
+
+[package.source]
+type = "legacy"
+url = "https://pypi.tuna.tsinghua.edu.cn/simple"
+reference = "mirrors"
+
+[[package]]
+name = "alibabacloud-tea-openapi"
+version = "0.4.2"
+description = "Alibaba Cloud openapi SDK Library for Python"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "alibabacloud_tea_openapi-0.4.2-py3-none-any.whl", hash = "sha256:c498065a297fd1972ed7709ef935c9ce1f9757f267f68933de6e63853f37366f"},
+    {file = "alibabacloud_tea_openapi-0.4.2.tar.gz", hash = "sha256:0a8d79374ca692469472355a125969c8a22cc5fb08328c75c26663ccf5c8b168"},
+]
+
+[package.dependencies]
+alibabacloud-credentials = ">=1.0.2,<2.0.0"
+alibabacloud-gateway-spi = ">=0.0.2,<1.0.0"
+alibabacloud-tea-util = ">=0.3.13,<1.0.0"
+cryptography = ">=3.0.0,<45.0.0"
+darabonba-core = ">=1.0.3,<2.0.0"
+
+[package.source]
+type = "legacy"
+url = "https://pypi.tuna.tsinghua.edu.cn/simple"
+reference = "mirrors"
+
+[[package]]
+name = "alibabacloud-tea-util"
+version = "0.3.14"
+description = "The tea-util module of alibabaCloud Python SDK."
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
+    {file = "alibabacloud_tea_util-0.3.14-py3-none-any.whl", hash = "sha256:10d3e5c340d8f7ec69dd27345eb2fc5a1dab07875742525edf07bbe86db93bfe"},
+    {file = "alibabacloud_tea_util-0.3.14.tar.gz", hash = "sha256:708e7c9f64641a3c9e0e566365d2f23675f8d7c2a3e2971d9402ceede0408cdb"},
+]
+
+[package.dependencies]
+alibabacloud-tea = ">=0.3.3"
+
+[package.source]
+type = "legacy"
+url = "https://pypi.tuna.tsinghua.edu.cn/simple"
+reference = "mirrors"
+
 [[package]]
 name = "annotated-doc"
 version = "0.0.3"
@ -982,6 +1180,93 @@ type = "legacy"
 url = "https://pypi.tuna.tsinghua.edu.cn/simple"
 reference = "mirrors"

+[[package]]
+name = "cryptography"
+version = "44.0.3"
+description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
+optional = false
+python-versions = ">=3.7, !=3.9.0, !=3.9.1"
+groups = ["main"]
+files = [
+    {file = "cryptography-44.0.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:962bc30480a08d133e631e8dfd4783ab71cc9e33d5d7c1e192f0b7c06397bb88"},
+    {file = "cryptography-44.0.3-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4ffc61e8f3bf5b60346d89cd3d37231019c17a081208dfbbd6e1605ba03fa137"},
+    {file = "cryptography-44.0.3-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58968d331425a6f9eedcee087f77fd3c927c88f55368f43ff7e0a19891f2642c"},
+    {file = "cryptography-44.0.3-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:e28d62e59a4dbd1d22e747f57d4f00c459af22181f0b2f787ea83f5a876d7c76"},
+    {file = "cryptography-44.0.3-cp37-abi3-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:af653022a0c25ef2e3ffb2c673a50e5a0d02fecc41608f4954176f1933b12359"},
+    {file = "cryptography-44.0.3-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:157f1f3b8d941c2bd8f3ffee0af9b049c9665c39d3da9db2dc338feca5e98a43"},
+    {file = "cryptography-44.0.3-cp37-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:c6cd67722619e4d55fdb42ead64ed8843d64638e9c07f4011163e46bc512cf01"},
+    {file = "cryptography-44.0.3-cp37-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:b424563394c369a804ecbee9b06dfb34997f19d00b3518e39f83a5642618397d"},
+    {file = "cryptography-44.0.3-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:c91fc8e8fd78af553f98bc7f2a1d8db977334e4eea302a4bfd75b9461c2d8904"},
+    {file = "cryptography-44.0.3-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:25cd194c39fa5a0aa4169125ee27d1172097857b27109a45fadc59653ec06f44"},
+    {file = "cryptography-44.0.3-cp37-abi3-win32.whl", hash = "sha256:3be3f649d91cb182c3a6bd336de8b61a0a71965bd13d1a04a0e15b39c3d5809d"},
+    {file = "cryptography-44.0.3-cp37-abi3-win_amd64.whl", hash = "sha256:3883076d5c4cc56dbef0b898a74eb6992fdac29a7b9013870b34efe4ddb39a0d"},
+    {file = "cryptography-44.0.3-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:5639c2b16764c6f76eedf722dbad9a0914960d3489c0cc38694ddf9464f1bb2f"},
+    {file = "cryptography-44.0.3-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f3ffef566ac88f75967d7abd852ed5f182da252d23fac11b4766da3957766759"},
+    {file = "cryptography-44.0.3-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:192ed30fac1728f7587c6f4613c29c584abdc565d7417c13904708db10206645"},
+    {file = "cryptography-44.0.3-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:7d5fe7195c27c32a64955740b949070f21cba664604291c298518d2e255931d2"},
+    {file = "cryptography-44.0.3-cp39-abi3-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:3f07943aa4d7dad689e3bb1638ddc4944cc5e0921e3c227486daae0e31a05e54"},
+    {file = "cryptography-44.0.3-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:cb90f60e03d563ca2445099edf605c16ed1d5b15182d21831f58460c48bffb93"},
+    {file = "cryptography-44.0.3-cp39-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:ab0b005721cc0039e885ac3503825661bd9810b15d4f374e473f8c89b7d5460c"},
+    {file = "cryptography-44.0.3-cp39-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:3bb0847e6363c037df8f6ede57d88eaf3410ca2267fb12275370a76f85786a6f"},
+    {file = "cryptography-44.0.3-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:b0cc66c74c797e1db750aaa842ad5b8b78e14805a9b5d1348dc603612d3e3ff5"},
+    {file = "cryptography-44.0.3-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:6866df152b581f9429020320e5eb9794c8780e90f7ccb021940d7f50ee00ae0b"},
+    {file = "cryptography-44.0.3-cp39-abi3-win32.whl", hash = "sha256:c138abae3a12a94c75c10499f1cbae81294a6f983b3af066390adee73f433028"},
+    {file = "cryptography-44.0.3-cp39-abi3-win_amd64.whl", hash = "sha256:5d186f32e52e66994dce4f766884bcb9c68b8da62d61d9d215bfe5fb56d21334"},
+    {file = "cryptography-44.0.3-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:cad399780053fb383dc067475135e41c9fe7d901a97dd5d9c5dfb5611afc0d7d"},
+    {file = "cryptography-44.0.3-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:21a83f6f35b9cc656d71b5de8d519f566df01e660ac2578805ab245ffd8523f8"},
+    {file = "cryptography-44.0.3-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:fc3c9babc1e1faefd62704bb46a69f359a9819eb0292e40df3fb6e3574715cd4"},
+    {file = "cryptography-44.0.3-pp310-pypy310_pp73-manylinux_2_34_aarch64.whl", hash = "sha256:e909df4053064a97f1e6565153ff8bb389af12c5c8d29c343308760890560aff"},
+    {file = "cryptography-44.0.3-pp310-pypy310_pp73-manylinux_2_34_x86_64.whl", hash = "sha256:dad80b45c22e05b259e33ddd458e9e2ba099c86ccf4e88db7bbab4b747b18d06"},
+    {file = "cryptography-44.0.3-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:479d92908277bed6e1a1c69b277734a7771c2b78633c224445b5c60a9f4bc1d9"},
+    {file = "cryptography-44.0.3-pp311-pypy311_pp73-macosx_10_9_x86_64.whl", hash = "sha256:896530bc9107b226f265effa7ef3f21270f18a2026bc09fed1ebd7b66ddf6375"},
+    {file = "cryptography-44.0.3-pp311-pypy311_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:9b4d4a5dbee05a2c390bf212e78b99434efec37b17a4bff42f50285c5c8c9647"},
+    {file = "cryptography-44.0.3-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:02f55fb4f8b79c1221b0961488eaae21015b69b210e18c386b69de182ebb1259"},
+    {file = "cryptography-44.0.3-pp311-pypy311_pp73-manylinux_2_34_aarch64.whl", hash = "sha256:dd3db61b8fe5be220eee484a17233287d0be6932d056cf5738225b9c05ef4fff"},
+    {file = "cryptography-44.0.3-pp311-pypy311_pp73-manylinux_2_34_x86_64.whl", hash = "sha256:978631ec51a6bbc0b7e58f23b68a8ce9e5f09721940933e9c217068388789fe5"},
+    {file = "cryptography-44.0.3-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:5d20cc348cca3a8aa7312f42ab953a56e15323800ca3ab0706b8cd452a3a056c"},
+    {file = "cryptography-44.0.3.tar.gz", hash = "sha256:fe19d8bc5536a91a24a8133328880a41831b6c5df54599a8417b62fe015d3053"},
+]
+
+[package.dependencies]
+cffi = {version = ">=1.12", markers = "platform_python_implementation != \"PyPy\""}
+
+[package.extras]
+docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=3.0.0) ; python_version >= \"3.8\""]
+docstest = ["pyenchant (>=3)", "readme-renderer (>=30.0)", "sphinxcontrib-spelling (>=7.3.1)"]
+nox = ["nox (>=2024.4.15)", "nox[uv] (>=2024.3.2) ; python_version >= \"3.8\""]
+pep8test = ["check-sdist ; python_version >= \"3.8\"", "click (>=8.0.1)", "mypy (>=1.4)", "ruff (>=0.3.6)"]
+sdist = ["build (>=1.0.0)"]
+ssh = ["bcrypt (>=3.1.5)"]
+test = ["certifi (>=2024)", "cryptography-vectors (==44.0.3)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
+test-randomorder = ["pytest-randomly"]
+
+[package.source]
+type = "legacy"
+url = "https://pypi.tuna.tsinghua.edu.cn/simple"
+reference = "mirrors"
+
+[[package]]
+name = "darabonba-core"
+version = "1.0.4"
+description = "The darabonba module of alibabaCloud Python SDK."
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "darabonba_core-1.0.4-py3-none-any.whl", hash = "sha256:4c3bc1d76d5af1087297b6afde8e960ea2f54f93e725e2df8453f0b4bb27dd24"},
+    {file = "darabonba_core-1.0.4.tar.gz", hash = "sha256:6ede4e9bfd458148bab19ab2331716ae9b5c226ba5f6d221de6f88ee65704137"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.7.0,<4.0.0"
+alibabacloud-tea = "*"
+requests = ">=2.21.0,<3.0.0"
+
+[package.source]
+type = "legacy"
+url = "https://pypi.tuna.tsinghua.edu.cn/simple"
+reference = "mirrors"
+
 [[package]]
 name = "distro"
 version = "1.9.0"
@ -3454,6 +3739,23 @@ type = "legacy"
 url = "https://pypi.tuna.tsinghua.edu.cn/simple"
 reference = "mirrors"

+[[package]]
+name = "pypinyin"
+version = "0.55.0"
+description = "汉字拼音转换模块/工具."
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*, <4"
+groups = ["main"]
+files = [
+    {file = "pypinyin-0.55.0-py2.py3-none-any.whl", hash = "sha256:d53b1e8ad2cdb815fb2cb604ed3123372f5a28c6f447571244aca36fc62a286f"},
+    {file = "pypinyin-0.55.0.tar.gz", hash = "sha256:b5711b3a0c6f76e67408ec6b2e3c4987a3a806b7c528076e7c7b86fcf0eaa66b"},
+]
+
+[package.source]
+type = "legacy"
+url = "https://pypi.tuna.tsinghua.edu.cn/simple"
+reference = "mirrors"
+
 [[package]]
 name = "pytest"
 version = "9.0.1"
@ -4681,4 +4983,4 @@ reference = "mirrors"
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.12,<4.0"
-content-hash = "2c341fdc0d5b29ad3b24516c46e036b2eff4c11e244047d114971039255c2ac4"
+content-hash = "59498c038a603c90f051d2f360cb9226ec0fc4470942c0a7cf34f832701f0ce7"
--- a/pyproject.toml
+++ b/pyproject.toml
@ -29,6 +29,8 @@ dependencies = [
  "imageio (>=2.37.2,<3.0.0)",
  "aiosqlite (>=0.20.0,<1.0.0)",
  "sqlparse (>=0.5.0,<1.0.0)",
+  "alibabacloud-green20220302 (>=3.0.1,<4.0.0)",
+  "pypinyin (>=0.55.0,<0.56.0)",
 ]

 [tool.poetry]
Author	SHA1	Message	Date
MixBadGun	54fae88914	待完善	2025-12-09 00:02:26 +08:00
MixBadGun	eed21e6223	new All checks were successful continuous-integration/drone/push Build is passing Details	2025-12-03 22:38:50 +08:00
MixBadGun	bf5c10b7a7	notice test All checks were successful continuous-integration/drone/push Build is passing Details	2025-12-03 22:23:44 +08:00
MixBadGun	274ca0fa9a	初步尝试UI化	2025-12-03 22:00:44 +08:00
MixBadGun	c72cdd6a6b	新滤镜，新修复 All checks were successful continuous-integration/drone/push Build is passing Details	2025-12-03 17:20:46 +08:00
passthem	16b0451133	删掉黑白 All checks were successful continuous-integration/drone/push Build is passing Details	2025-12-03 13:32:11 +08:00
passthem	cb34813c4b	Merge branch 'master' of ssh://gitea.service.jazzwhom.top:2221/mttu-developers/konabot	2025-12-03 13:22:09 +08:00
MixBadGun	2de3be271e	最新最热模糊 All checks were successful continuous-integration/drone/push Build is passing Details	2025-12-03 13:10:16 +08:00
MixBadGun	f7d2168dac	最新最热	2025-12-03 12:25:39 +08:00
MixBadGun	40be5ce335	fx 完善 All checks were successful continuous-integration/drone/push Build is passing Details	2025-12-02 14:45:07 +08:00
MixBadGun	8e6131473d	fximage	2025-12-02 12:17:11 +08:00
passthem	26e10be4ec	修复相关文档	2025-11-28 17:10:18 +08:00
passthem	78bda5fc0a	添加云盾 All checks were successful continuous-integration/drone/push Build is passing Details	2025-11-28 16:59:58 +08:00
passthem	97658a6c56	补充文档 All checks were successful continuous-integration/drone/push Build is passing Details	2025-11-28 16:54:29 +08:00
passthem	3fedc685a9	没有人需要的提取首字母功能	2025-11-28 16:51:16 +08:00
passthem	d1a3e44c45	调整日志等级和内容 All checks were successful continuous-integration/drone/push Build is passing Details	2025-11-26 13:09:37 +08:00
passthem	f637778173	完成排行榜部分 All checks were successful continuous-integration/drone/push Build is passing Details	2025-11-26 13:02:26 +08:00
passthem	145bfedf67	Merge branch 'master' of ssh://gitea.service.jazzwhom.top:2221/mttu-developers/konabot All checks were successful continuous-integration/drone/push Build is passing Details	2025-11-25 14:29:46 +08:00
passthem	61b9d733a5	添加阿里绿网云盾 API	2025-11-25 14:29:26 +08:00
Passthem	ae59c20e2f	添加对 pyrightconfig 的 ignore，方便使用其他 IDE 的人使用 config 文件指定虚拟环境位置等 All checks were successful continuous-integration/drone/push Build is passing Details	2025-11-24 18:36:06 +08:00
MixBadGun	0b7d21aeb0	新增一条示例，以便处理几百年的（ All checks were successful continuous-integration/drone/push Build is passing Details	2025-11-22 01:22:42 +08:00
passthem	d6ede3e6cd	标准化时间的解析 All checks were successful continuous-integration/drone/push Build is passing Details	2025-11-21 16:56:00 +08:00
passthem	07ace8e6e9	就是加个 Y 的事情（ All checks were successful continuous-integration/drone/push Build is passing Details	2025-11-21 16:19:19 +08:00
passthem	6f08c22b5b	LLM 胜利了！！！！！！ All checks were successful continuous-integration/drone/push Build is passing Details	2025-11-21 16:13:38 +08:00