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Author SHA1 Message Date
af566888ab fix2
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2025-10-12 15:24:49 +08:00
e72bc283f8 调整 giftool
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2025-10-12 15:18:07 +08:00
c9d58e7498 修改文档
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2025-10-12 13:45:34 +08:00
627a48da1c 添加安全限制 2025-10-12 13:40:40 +08:00
87be1916ee 添加 Shadertool(谁需要??????)
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2025-10-12 13:36:54 +08:00
0ca901e7b1 添加 giftool
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2025-10-12 12:47:52 +08:00
d096f43d38 添加 giftool 2025-10-12 12:40:33 +08:00
38ae3d1c74 补充黑白的 man 2025-10-12 12:04:19 +08:00
a0483d1d5c 修复断言逻辑
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2025-10-12 11:52:41 +08:00
ae83b66908 添加图像黑白
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2025-10-12 11:50:15 +08:00
6abeb05a18 去除未使用的函数 2025-10-12 11:02:51 +08:00
16 changed files with 702 additions and 37 deletions

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@ -4,6 +4,15 @@ FROM python:3.13-slim AS base
ENV VIRTUAL_ENV=/app/.venv \
PATH="/app/.venv/bin:$PATH"
RUN apt-get update && \
apt-get install -y --no-install-recommends \
libfontconfig1 \
libgl1 \
libegl1 \
libglvnd0 \
mesa-vulkan-drivers \
&& rm -rf /var/lib/apt/lists/*
FROM base AS builder

9
konabot/common/nb/exc.py Normal file
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@ -0,0 +1,9 @@
from nonebot_plugin_alconna import UniMessage
class BotExceptionMessage(Exception):
def __init__(self, msg: UniMessage | str) -> None:
super().__init__()
if isinstance(msg, str):
msg = UniMessage().text(msg)
self.msg = msg

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@ -1,17 +1,23 @@
from io import BytesIO
from typing import Annotated
import httpx
import PIL.Image
from loguru import logger
import nonebot
from nonebot.matcher import Matcher
from nonebot.adapters import Bot, Event, Message
from nonebot.adapters.discord import Bot as DiscordBot
from nonebot.adapters.onebot.v11 import Bot as OnebotV11Bot
from nonebot.adapters.onebot.v11 import Message as OnebotV11Message
from nonebot.adapters.onebot.v11 import MessageEvent as OnebotV11MessageEvent
import nonebot.params
from nonebot_plugin_alconna import Image, RefNode, Reply, UniMessage
from PIL import UnidentifiedImageError
from returns.result import Failure, Result, Success
from konabot.common.nb.exc import BotExceptionMessage
async def download_image_bytes(url: str) -> Result[bytes, str]:
# if "/matcha/cache/" in url:
@ -133,3 +139,21 @@ async def extract_image_from_message(
else:
return Failure("暂时不支持在这里中通过引用的方式获取图片")
return Failure("请在消息中包含图片,或者引用一个含有图片的消息")
async def _ext_img(
evt: Event,
bot: Bot,
matcher: Matcher,
) -> PIL.Image.Image | None:
match await extract_image_from_message(evt.get_message(), evt, bot):
case Success(img):
return img
case Failure(err):
# raise BotExceptionMessage(err)
await matcher.send(await UniMessage().text(err).export())
return None
assert False
PIL_Image = Annotated[PIL.Image.Image, nonebot.params.Depends(_ext_img)]

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@ -0,0 +1,16 @@
import re
from nonebot_plugin_alconna import Text, UniMsg
def match_keyword(*patterns: str | re.Pattern):
async def _matcher(msg: UniMsg):
text = msg.get(Text).extract_plain_text().strip()
for pattern in patterns:
if isinstance(pattern, str) and text == pattern:
return True
if isinstance(pattern, re.Pattern) and re.match(pattern, text):
return True
return False
return _matcher

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@ -0,0 +1,13 @@
from io import BytesIO
import PIL
import PIL.Image
from nonebot.adapters import Bot
from nonebot.matcher import Matcher
from nonebot_plugin_alconna import UniMessage
async def reply_image(matcher: type[Matcher], bot: Bot, img: PIL.Image.Image):
data = BytesIO()
img.save(data, "PNG")
await matcher.send(await UniMessage().image(raw=data).export(bot))

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@ -0,0 +1,59 @@
指令介绍
giftool - 对 GIF 动图进行裁剪、抽帧等处理
格式
giftool [图片] [选项]
示例
回复一张 GIF 并发送:
`giftool --ss 1.5 -t 2.0`
从 1.5 秒处开始,截取 2 秒长度的片段。
`giftool [图片] --ss 0:10 -to 0:15`
截取从 10 秒到 15 秒之间的片段(支持 MM:SS 或 HH:MM:SS 格式)。
`giftool [图片] --frames:v 10`
将整张 GIF 均匀抽帧,最终保留 10 帧。
`giftool [图片] --ss 2 --frames:v 5`
从第 2 秒开始截取,并将结果抽帧为 5 帧。
参数说明
图片(必需)
- 必须是 GIF 动图。
- 支持直接附带图片,或回复一条含 GIF 的消息后使用指令。
--ss <时间戳>(可选)
- 指定开始时间(单位:秒),可使用以下格式:
• 纯数字(如 `1.5` 表示 1.5 秒)
• 分秒格式(如 `1:30` 表示 1 分 30 秒)
• 时分秒格式(如 `0:1:30` 表示 1 分 30 秒)
- 默认从开头开始0 秒)。
-t <持续时间>(可选)
- 指定截取的持续时间(单位:秒),格式同 --ss。
- 与 --ss 配合使用:截取 [ss, ss + t] 区间。
- 不能与 --to 同时使用。
--to <时间戳>(可选)
- 指定结束时间(单位:秒),格式同 --ss。
- 与 --ss 配合使用:截取 [ss, to] 区间。
- 不能与 -t 同时使用。
--frames:v <帧数>(可选)
- 对截取后的片段进行均匀抽帧,保留指定数量的帧。
- 帧数必须为正整数(> 0
- 若原始帧数 ≤ 指定帧数,则保留全部帧。
--s <速度>(可选)
- 调整 gif 图的速度
使用方式
1. 发送指令前,请确保:
- 消息中附带一张 GIF 动图,或
- 回复一条包含 GIF 动图的消息后再发送指令。
2. 插件会自动:
- 解析 GIF 的每一帧及其持续时间duration
- 根据时间参数转换为帧索引进行裁剪
- 如指定抽帧,则对裁剪后的片段均匀采样
- 生成新的 GIF 并保持原始循环设置loop=0

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@ -0,0 +1,47 @@
指令介绍
shadertool - 使用 SkSLSkia Shader Language代码实时渲染并生成 GIF 动画
格式
shadertool [选项] <SkSL 代码>
示例
shadertool """
uniform float u_time;
uniform float2 u_resolution;
half4 main(float2 coord) {
return half4(
1.0,
sin((coord.y / u_resolution.y + u_time) * 3.1415926 * 2) * 0.5 + 0.5,
coord.x / u_resolution.x,
1.0
);
}
"""
参数说明
SkSL 代码(必填)
- 类型:字符串(建议用英文双引号包裹)
- 内容:符合 SkSL 语法的片段着色器代码,必须包含 `void main()` 函数,并为 `sk_FragColor` 赋值。
- 注意:插件会自动去除代码首尾的单引号或双引号,便于命令行输入。
--width <整数>(可选)
- 默认值320
- 作用:输出 GIF 的宽度(像素),必须大于 0。
--height <整数>(可选)
- 默认值180
- 作用:输出 GIF 的高度(像素),必须大于 0。
--duration <浮点数>(可选)
- 默认值1.0
- 作用:动画总时长(秒),必须大于 0。
- 限制:`duration × fps` 必须 ≥ 1 且 ≤ 100即至少 1 帧,最多 100 帧)。
--fps <浮点数>(可选)
- 默认值15.0
- 作用:每秒帧数,控制动画流畅度,必须大于 0。
- 常见值10低配流畅、15默认、24/30电影/视频级)。
使用方式
直接在群聊或私聊中发送 `shadertool` 指令,附上合法的 SkSL 代码即可。

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@ -0,0 +1,5 @@
指令介绍
黑白 - 将图片经过一个黑白滤镜的处理
示例
引用一个带有图片的消息,或者消息本身携带图片,然后发送「黑白」即可

45
konabot/plugins/errman.py Normal file
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@ -0,0 +1,45 @@
from typing import Any
from nonebot.adapters import Bot
from nonebot.matcher import Matcher
from nonebot.message import run_postprocessor
from nonebot_plugin_alconna import UniMessage
from returns.primitives.exceptions import UnwrapFailedError
from konabot.common.nb.exc import BotExceptionMessage
@run_postprocessor
async def _(bot: Bot, matcher: Matcher, exc: BotExceptionMessage | AssertionError | UnwrapFailedError):
if isinstance(exc, BotExceptionMessage):
msg = exc.msg
await matcher.send(await msg.export(bot))
if isinstance(exc, AssertionError):
if exc.args:
err_msg = exc.args[0]
err_msg_res: UniMessage
if isinstance(err_msg, str):
err_msg_res = UniMessage().text(err_msg)
elif isinstance(err_msg, UniMessage):
err_msg_res = err_msg
else:
return
await matcher.send(await err_msg_res.export(bot))
if isinstance(exc, UnwrapFailedError):
obj = exc.halted_container
try:
failure: Any = obj.failure()
err_msg_res: UniMessage
if isinstance(failure, str):
err_msg_res = UniMessage().text(failure)
elif isinstance(failure, UniMessage):
err_msg_res = failure
else:
return
await matcher.send(await err_msg_res.export(bot))
except:
pass

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@ -0,0 +1,204 @@
import re
from io import BytesIO
from nonebot import on_message
from nonebot.adapters import Bot
from nonebot_plugin_alconna import (Alconna, Args, Image, Option, UniMessage,
on_alconna)
from konabot.common.nb.exc import BotExceptionMessage
from konabot.common.nb.extract_image import PIL_Image
from konabot.common.nb.match_keyword import match_keyword
from konabot.common.nb.reply_image import reply_image
cmd_black_white = on_message(rule=match_keyword("黑白"))
@cmd_black_white.handle()
async def _(img: PIL_Image, bot: Bot):
await reply_image(cmd_black_white, bot, img.convert("LA"))
def parse_timestamp(tx: str) -> float | None:
res = 0.0
for component in tx.split(":"):
res *= 60
if not re.match(r"^\d+(\.\d+)?$", component):
return
res += float(component)
return res
cmd_giftool = on_alconna(Alconna(
"giftool",
Args["img", Image | None],
Option("--ss", Args["start_point", str]),
Option("--frames:v", Args["frame_count", int]),
Option("-t", Args["length", str]),
Option("-to", Args["end_point", str]),
Option("--speed", Args["speed_factor", float], default=1.0, alias=["-s"]),
))
@cmd_giftool.handle()
async def _(
image: PIL_Image,
start_point: str | None = None,
frame_count: int | None = None,
length: str | None = None,
speed_factor: float = 1.0,
end_point: str | None = None,
):
ss: None | float = None
if start_point:
ss = parse_timestamp(start_point)
if ss is None:
raise BotExceptionMessage("--ss 的格式不满足条件")
t: None | float = None
if length:
t = parse_timestamp(length)
if t is None:
raise BotExceptionMessage("-t 的格式不满足条件")
to: None | float = None
if end_point:
to = parse_timestamp(end_point)
if to is None:
raise BotExceptionMessage("-to 的格式不满足条件")
if to is not None and ss is not None and to <= ss:
raise BotExceptionMessage("错误:出点时间小于入点")
if frame_count is not None and frame_count <= 0:
raise BotExceptionMessage("错误:帧数量应该大于 0")
if speed_factor <= 0:
raise BotExceptionMessage("错误:--speed 必须大于 0")
if not getattr(image, "is_animated", False):
raise BotExceptionMessage("错误输入的不是动图GIF")
frames = []
durations = []
total_duration = 0.0
try:
for i in range(getattr(image, "n_frames")):
image.seek(i)
frames.append(image.copy())
duration = image.info.get("duration", 100) # 单位:毫秒
durations.append(duration)
total_duration += duration / 1000.0 # 转为秒
except EOFError:
pass
if not frames:
raise BotExceptionMessage("错误:读取 GIF 帧失败")
def time_to_frame_index(target_time: float) -> int:
if target_time <= 0:
return 0
cum = 0.0
for idx, dur in enumerate(durations):
cum += dur / 1000.0
if cum >= target_time:
return min(idx, len(frames) - 1)
return len(frames) - 1
start_frame = 0
end_frame = len(frames) - 1
if ss is not None:
start_frame = time_to_frame_index(ss)
if to is not None:
end_frame = time_to_frame_index(to)
if end_frame < start_frame:
end_frame = start_frame
elif t is not None:
end_time = (ss or 0.0) + t
end_frame = time_to_frame_index(end_time)
if end_frame < start_frame:
end_frame = start_frame
start_frame = max(0, start_frame)
end_frame = min(len(frames) - 1, end_frame)
selected_frames = frames[start_frame : end_frame + 1]
selected_durations = durations[start_frame : end_frame + 1]
if frame_count is not None and frame_count > 0:
if frame_count >= len(selected_frames):
pass
else:
step = len(selected_frames) / frame_count
sampled_frames = []
sampled_durations = []
for i in range(frame_count):
idx = int(i * step)
sampled_frames.append(selected_frames[idx])
sampled_durations.append(
sum(selected_durations) // len(selected_durations)
)
selected_frames = sampled_frames
selected_durations = sampled_durations
output_img = BytesIO()
adjusted_durations = [
dur / speed_factor for dur in selected_durations
]
rframes = []
rdur = []
acc_mod_20 = 0
for i in range(len(selected_frames)):
fr = selected_frames[i]
du: float = adjusted_durations[i]
if du >= 20:
rframes.append(fr)
rdur.append(int(du))
acc_mod_20 = 0
else:
if acc_mod_20 == 0:
rframes.append(fr)
rdur.append(20)
acc_mod_20 += du
else:
acc_mod_20 += du
if acc_mod_20 >= 20:
acc_mod_20 = 0
if len(rframes) == 1 and len(selected_frames) > 1:
rframes.append(selected_frames[max(2, len(selected_frames) // 2)])
rdur.append(20)
transparency_flag = False
for f in rframes:
if f.mode == "RGBA":
if any(pix < 255 for pix in f.getchannel("A").getdata()):
transparency_flag = True
break
elif f.mode == "P" and "transparency" in f.info:
transparency_flag = True
break
tf = {}
if transparency_flag:
tf['transparency'] = 0
if rframes:
rframes[0].save(
output_img,
format="GIF",
save_all=True,
append_images=rframes[1:],
duration=rdur,
loop=0,
optimize=False,
disposal=2,
**tf,
)
else:
raise BotExceptionMessage("错误:没有可输出的帧")
output_img.seek(0)
await cmd_giftool.send(await UniMessage().image(raw=output_img).export())

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@ -0,0 +1,43 @@
from nonebot_plugin_alconna import Alconna, Args, Option, UniMessage, on_alconna
from konabot.common.nb.exc import BotExceptionMessage
from konabot.plugins.sksl.run_sksl import render_sksl_shader_to_gif
cmd_run_sksl = on_alconna(Alconna(
"shadertool",
Option("--width", Args["width_", int]),
Option("--height", Args["height_", int]),
Option("--duration", Args["duration_", float]),
Option("--fps", Args["fps_", float]),
Args["code", str],
))
@cmd_run_sksl.handle()
async def _(
code: str,
width_: int = 320,
height_: int = 180,
duration_: float = 1.0,
fps_: float = 15.0,
):
if width_ <= 0 or height_ <= 0:
raise BotExceptionMessage("长宽应该大于 0")
if duration_ <= 0:
raise BotExceptionMessage("渲染时长应该大于 0")
if fps_ <= 0:
raise BotExceptionMessage("渲染帧率应该大于 0")
if fps_ * duration_ < 1:
raise BotExceptionMessage("时长太短或帧率太小,没有帧被渲染")
if fps_ * duration_ > 100:
raise BotExceptionMessage("太多帧啦!试着缩短一点时间吧!")
if width_ > 640 or height_ > 640:
raise BotExceptionMessage("最大支持 640x640 啦!不要太大啦!")
code = code.strip("\"").strip("'")
try:
res = await render_sksl_shader_to_gif(code, width_, height_, duration_, fps_)
await cmd_run_sksl.send(await UniMessage().image(raw=res).export())
except (ValueError, RuntimeError) as e:
await cmd_run_sksl.send(await UniMessage().text(f"渲染时遇到了问题:\n\n{e}").export())

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@ -0,0 +1,155 @@
import asyncio
import io
import struct
from loguru import logger
import numpy as np
import skia
from PIL import Image
def _pack_uniforms(uniforms_dict, width, height, time_val):
"""
根据常见的教学用 uniform 布局打包字节数据
假设 SkSL 中 uniform 顺序为: float u_time; float2 u_resolution;
内存布局: [u_time(4B)][u_res_x(4B)][u_res_y(4B)] (总共 12 字节,无填充)
注意:为匹配 skia.RuntimeEffect 的紧凑布局,已移除 float 和 float2 之间的 4 字节填充。
"""
# u_time (float) - 4 bytes
time_bytes = struct.pack('f', time_val)
# u_resolution (vec2/float2) - 8 bytes
res_bytes = struct.pack('ff', float(width), float(height))
# 移除填充字节,使用紧凑布局
return time_bytes + res_bytes
def _render_sksl_shader_to_gif(
sksl_code: str,
width: int = 256,
height: int = 256,
duration: float = 2.0,
fps: float = 15,
) -> io.BytesIO:
"""
渲染 SkSL 着色器动画为 GIF适配 skia-python >= 138
"""
logger.info(f"开始编译\n{sksl_code}")
runtime_effect = skia.RuntimeEffect.MakeForShader(sksl_code)
if runtime_effect is None:
# SkSL 编译失败时,尝试获取错误信息(如果 skia 版本支持)
error_message = ""
# 注意skia-python 的错误信息捕获可能因版本而异
# 尝试检查编译错误是否在日志中,但最直接的是抛出已知错误
raise ValueError("SkSL 编译失败,请检查语法")
# --- 修复: 移除对不存在的 uniformSize() 的调用,直接使用硬编码的 12 字节尺寸 ---
# float (4 bytes) + float2 (8 bytes) = 12 bytes (基于 _pack_uniforms 函数的紧凑布局)
EXPECTED_UNIFORM_SIZE = 12
# 创建 CPU 后端 Surface
surface = skia.Surface(width, height)
frames = []
total_frames = int(duration * fps)
for frame in range(total_frames):
time_val = frame / fps
# 打包 uniform 数据
uniform_bytes = _pack_uniforms(None, width, height, time_val)
# [检查] 确保打包后的字节数与期望值匹配
if len(uniform_bytes) != EXPECTED_UNIFORM_SIZE:
raise ValueError(
f"Uniform 数据大小不匹配!期望 {EXPECTED_UNIFORM_SIZE} 字节,实际 {len(uniform_bytes)} 字节。请检查 _pack_uniforms 函数。"
)
uniform_data = skia.Data.MakeWithCopy(uniform_bytes)
# 创建着色器
try:
# makeShader 的参数: uniform_data, children_shaders, child_count
shader = runtime_effect.makeShader(uniform_data, None, 0)
if shader is None:
# 如果 SkSL 语法正确但 uniform 匹配失败makeShader 会返回 None
raise RuntimeError("着色器创建返回 None请检查 SkSL 语法和 uniform 数据匹配。")
except Exception as e:
raise ValueError(f"着色器创建失败: {e}")
# 绘制
canvas = surface.getCanvas()
canvas.clear(skia.Color(0, 0, 0, 255))
paint = skia.Paint()
paint.setShader(shader)
canvas.drawRect(skia.Rect.MakeWH(width, height), paint)
# --- 修复 peekPixels() 错误:改用 readPixels() 将数据复制到缓冲区 ---
image = surface.makeImageSnapshot()
# 1. 准备目标 ImageInfo (通常是 kBGRA_8888_ColorType)
target_info = skia.ImageInfo.Make(
image.width(),
image.height(),
skia.ColorType.kBGRA_8888_ColorType, # 目标格式,匹配 Skia 常见的输出格式
skia.AlphaType.kPremul_AlphaType
)
# 2. 创建一个用于接收像素数据的 bytearray 缓冲区
pixel_data = bytearray(image.width() * image.height() * 4) # 4 bytes per pixel (BGRA)
# 3. 将图像数据复制到缓冲区
success = image.readPixels(target_info, pixel_data, target_info.minRowBytes())
if not success:
raise RuntimeError("无法通过 readPixels() 获取图像像素")
# 4. 转换 bytearray 到 NumPy 数组 (BGRA 顺序)
img_array = np.frombuffer(pixel_data, dtype=np.uint8).reshape((height, width, 4))
# 5. BGRA 转换成 RGB 顺序 (交换 R 和 B 通道)
# [B, G, R, A] -> [R, G, B] (丢弃 A 通道)
rgb_array = img_array[:, :, [2, 1, 0]]
# 6. 创建 PIL Image
pil_img = Image.fromarray(rgb_array)
frames.append(pil_img)
# ------------------------------------------------------------------
# 生成 GIF
gif_buffer = io.BytesIO()
# 计算每帧的毫秒延迟
frame_duration_ms = int(1000 / fps)
frames[0].save(
gif_buffer,
format='GIF',
save_all=True,
append_images=frames[1:],
duration=frame_duration_ms,
loop=0, # 0 表示无限循环
optimize=True
)
gif_buffer.seek(0)
return gif_buffer
async def render_sksl_shader_to_gif(
sksl_code: str,
width: int = 256,
height: int = 256,
duration: float = 2.0,
fps: float = 15,
) -> io.BytesIO:
return await asyncio.to_thread(
_render_sksl_shader_to_gif,
sksl_code,
width,
height,
duration,
fps,
)

View File

@ -1,18 +1,11 @@
from io import BytesIO
from typing import Optional
from PIL import Image
from loguru import logger
from nonebot.adapters import Event as BaseEvent
from nonebot.adapters import Bot as BaseBot
from nonebot.adapters import Event as BaseEvent
from nonebot.plugin import PluginMetadata
from nonebot_plugin_alconna import (
Alconna,
Args,
Field,
UniMessage,
on_alconna,
)
from nonebot_plugin_alconna import Alconna, Args, Field, UniMessage, on_alconna
from PIL import Image
from returns.result import Failure, Success
from konabot.common.nb.extract_image import extract_image_from_message
@ -57,29 +50,6 @@ ytpgif_cmd = on_alconna(
)
async def get_image_url(event: BaseEvent) -> Optional[str]:
"""从事件中提取图片 URL支持直接消息和回复"""
msg = event.get_message()
for seg in msg:
if seg.type == "image" and seg.data.get("url"):
return str(seg.data["url"])
if hasattr(event, "reply") and (reply := getattr(event, "reply")):
reply_msg = reply.message
for seg in reply_msg:
if seg.type == "image" and seg.data.get("url"):
return str(seg.data["url"])
return None
async def download_image(url: str) -> bytes:
import httpx
async with httpx.AsyncClient() as client:
resp = await client.get(url, timeout=10)
resp.raise_for_status()
return resp.content
def resize_frame(frame: Image.Image) -> Image.Image:
"""缩放图像,保持宽高比,不超过 MAX_SIZE"""
w, h = frame.size

64
poetry.lock generated
View File

@ -2079,6 +2079,21 @@ type = "legacy"
url = "https://gitea.service.jazzwhom.top/api/packages/Passthem/pypi/simple"
reference = "pt-gitea-pypi"
[[package]]
name = "pybind11"
version = "3.0.1"
description = "Seamless operability between C++11 and Python"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
{file = "pybind11-3.0.1-py3-none-any.whl", hash = "sha256:aa8f0aa6e0a94d3b64adfc38f560f33f15e589be2175e103c0a33c6bce55ee89"},
{file = "pybind11-3.0.1.tar.gz", hash = "sha256:9c0f40056a016da59bab516efb523089139fcc6f2ba7e4930854c61efb932051"},
]
[package.extras]
global = ["pybind11-global (==3.0.1)"]
[[package]]
name = "pycares"
version = "4.11.0"
@ -2515,6 +2530,53 @@ pygments = ">=2.13.0,<3.0.0"
[package.extras]
jupyter = ["ipywidgets (>=7.5.1,<9)"]
[[package]]
name = "skia-python"
version = "138.0"
description = "Skia python binding"
optional = false
python-versions = "*"
groups = ["main"]
files = [
{file = "skia_python-138.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a8bcf4f8d6ea08bdf718ed257f9a9c722f643223f9b93230fd4c15ac5c82029f"},
{file = "skia_python-138.0-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:1b7f24a5b306f57d75b8733658189dd61ce9114a84b5d119b3b1fb09cbc991cb"},
{file = "skia_python-138.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:2c4164013355bcf255651ac8a0ca519fd6095b6e58fa5e7a057919bec158411d"},
{file = "skia_python-138.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:63a7f9dc8d5fdda969f35d7f8f3a774029093468a9c06771ccce9ab967b275ca"},
{file = "skia_python-138.0-cp310-cp310-win_amd64.whl", hash = "sha256:740104424e9c94a70a767adcdbfa2bce131c93a82fa00a50432406dc04bac7e8"},
{file = "skia_python-138.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6e369105b2811b6c32d7f15624202609deeb428164ee395c715df01221c847f5"},
{file = "skia_python-138.0-cp311-cp311-macosx_11_0_x86_64.whl", hash = "sha256:55a2ae437d1c6dc46d9bbc2e3e0b4b5642022dcebc0634591ae1c8acea52a413"},
{file = "skia_python-138.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:e67c9bcac953fbeb31b38474a4e566371e5719d4e27032686359cbe602819af8"},
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{file = "skia_python-138.0-cp311-cp311-win_amd64.whl", hash = "sha256:df5a0dd52e1038423f2e1c03677cba5ea974d215adec10763dd855f4a6ca0cfc"},
{file = "skia_python-138.0-cp311-cp311-win_arm64.whl", hash = "sha256:054ca430003d52468974cf69d98719e61f188630709a3706a868efc16e817970"},
{file = "skia_python-138.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6b83d7b8101038ab0fcb920b1a91c872615e45b0ac19fe0c66b55d3ad0d61970"},
{file = "skia_python-138.0-cp312-cp312-macosx_11_0_x86_64.whl", hash = "sha256:f22060f513b2fc258b4269e631128ca68889107bc4aa65255119f3d9c1c32993"},
{file = "skia_python-138.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:02b0c2146d25f45224c2c156dd8b859e89265ee5894c3fa8f456c6c41b27122d"},
{file = "skia_python-138.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:fb9e980a61defcb6ca19d73c97ea23d1aea633a82e9d1dead6ed259c3856baaf"},
{file = "skia_python-138.0-cp312-cp312-win_amd64.whl", hash = "sha256:625bb95dc225ea2257f1d1f7b0aee203290b91d909c8f5feaa7cd428f13bce22"},
{file = "skia_python-138.0-cp312-cp312-win_arm64.whl", hash = "sha256:e495143edba2a7cdf59e83723f00c9a247e5baeda4981fc6587803ed46c5ed2a"},
{file = "skia_python-138.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:1433b5a0bd4ca1c1d050541f54c25d27d55a129894dbd827d4e440697090ff83"},
{file = "skia_python-138.0-cp313-cp313-macosx_11_0_x86_64.whl", hash = "sha256:3f053128aa6344fa991c2485f29f40bda77b5f46467a43e778a34ec8f5b3615a"},
{file = "skia_python-138.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:878212d9576d065a45fd143c57d412bc0496c6594ecfcd9cc2cd93b4fd943cb4"},
{file = "skia_python-138.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:a6b3e58756a9fa8af3714edc05aeafc7922090f5a276c4be11337f252921dbe8"},
{file = "skia_python-138.0-cp313-cp313-win_amd64.whl", hash = "sha256:f2d596d5807fafef6bc43440f4df28f71db189f9e2cfb8613224713916837e3c"},
{file = "skia_python-138.0-cp313-cp313-win_arm64.whl", hash = "sha256:20285bf4ee41da754b842c80076fc4a240cb3801f4a1cbbb50b26a5dca1ebc39"},
{file = "skia_python-138.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ff8dcb98b19e85d565c1d0accf8919e4b8a35d2a121d2d6f1c21fea655c85884"},
{file = "skia_python-138.0-cp38-cp38-macosx_11_0_x86_64.whl", hash = "sha256:ff3e692214b27490e38caf6ed123d82d2ff762da4561473a5a34fab1cb5dcd14"},
{file = "skia_python-138.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:db3388f4e6e8f63c9e2b6cb0add0c2e483cbed783558b10eb7d94540f75db9b6"},
{file = "skia_python-138.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:1dd9306b2025e296ad1d0e2c3038e3221ade1d48dfd0a20ce926f8116603b909"},
{file = "skia_python-138.0-cp38-cp38-win_amd64.whl", hash = "sha256:9ae5de84629dba4c751b334a8c43b04e9b7fe2a65df26992770648aa5e131b0c"},
{file = "skia_python-138.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:736e6618f246444bff2ff73b9efe8fd7159d9048c85ecdffb23290702a5c9099"},
{file = "skia_python-138.0-cp39-cp39-macosx_11_0_x86_64.whl", hash = "sha256:ab438dfe40d1be3da6fdd94890862781dc4e545a0bfa169a8e9dcc25f3bb0afd"},
{file = "skia_python-138.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:2f5d842930d1e385aa7911e0705d4751d8e4aa550389baf88d40673672f180b1"},
{file = "skia_python-138.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:d17ad82d6094f9c7bfc25b6525e1080bf3715abcc848be042c786b365f51a48c"},
{file = "skia_python-138.0-cp39-cp39-win_amd64.whl", hash = "sha256:0f6136827a269a4a5294d92919bc6fad008da7d7e74256666d81506f863a6ff9"},
]
[package.dependencies]
numpy = "*"
pybind11 = ">=2.6"
[[package]]
name = "sniffio"
version = "1.3.1"
@ -3198,4 +3260,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.1"
python-versions = ">=3.12,<4.0"
content-hash = "b4c3d28f7572c57e867d126ce0c64787ae608b114e66b8de06147caf13e049dd"
content-hash = "0c7709438b8eb3d468b775417b8ef642cd7a8c1031805fdc71fec32c48346e54"

View File

@ -23,6 +23,7 @@ dependencies = [
"opencv-python-headless (>=4.12.0.88,<5.0.0.0)",
"returns (>=0.26.0,<0.27.0)",
"ptimeparse (>=0.1.1,<0.2.0)",
"skia-python (>=138.0,<139.0)",
]
[build-system]

View File

@ -8,9 +8,12 @@ nonebot.load_plugins("konabot/plugins")
plugins = nonebot.get_loaded_plugins()
len_requires = len(
[f for f in (
Path(__file__).parent.parent / "konabot" / "plugins"
).iterdir() if f.is_dir() and (f / "__init__.py").exists()]
[
f
for f in (Path(__file__).parent.parent / "konabot" / "plugins").iterdir()
if (f.is_dir() and (f / "__init__.py").exists())
or ((not f.is_dir()) and f.suffix == ".py")
]
)
plugins = [p for p in plugins if p.module.__name__.startswith("konabot.plugins")]