调整成无头 OpenCV

konabot/plugins/memepack/__init__.py

@@ -1,14 +1,17 @@
 from io import BytesIO
-from nonebot_plugin_alconna import Alconna, Args, Field, MultiVar, UniMessage, on_alconna
+
+from nonebot_plugin_alconna import (Alconna, Args, Field, MultiVar, UniMessage,
+                                    on_alconna)
 
 from konabot.plugins.memepack.drawing.geimao import draw_geimao
+from konabot.plugins.memepack.drawing.pt import draw_pt
 
 geimao = on_alconna(Alconna(
     "给猫说",
     Args["saying", MultiVar(str, '+'), Field(
         missing_tips=lambda: "你没有写给猫说了什么"
     )]
-), use_cmd_start=True, use_cmd_sep=False, skip_for_unmatch=False)
+), use_cmd_start=True, use_cmd_sep=False, skip_for_unmatch=False, aliases={"给猫哈"})
 
 @geimao.handle()
 async def _(saying: list[str]):
@@ -17,3 +20,19 @@ async def _(saying: list[str]):
     img.save(img_bytes, format="PNG")
 
     await geimao.send(await UniMessage().image(raw=img_bytes).export())
+
+
+pt = on_alconna(Alconna(
+    "pt说",
+    Args["saying", MultiVar(str, '+'), Field(
+        missing_tips=lambda: "你没有写小帕说了什么"
+    )]
+), use_cmd_start=True, use_cmd_sep=False, skip_for_unmatch=False, aliases={"小帕说"})
+
+@pt.handle()
+async def _(saying: list[str]):
+    img = await draw_pt("\n".join(saying))
+    img_bytes = BytesIO()
+    img.save(img_bytes, format="PNG")
+
+    await pt.send(await UniMessage().image(raw=img_bytes).export())

konabot/plugins/memepack/drawing/base/fonts.py

@@ -1,6 +1,12 @@
-from imagetext_py import FontDB
+from imagetext_py import EmojiOptions, FontDB
 
-from .path import assets
+from .path import ASSETS
+
+FontDB.LoadFromDir(str(ASSETS))
+
+FontDB.SetDefaultEmojiOptions(EmojiOptions(
+    parse_shortcodes=False, 
+))
 
-FontDB.LoadFromDir(str(assets))
 HARMONYOS_SANS_SC_BLACK = FontDB.Query("HarmonyOS_Sans_SC_Black")
+HARMONYOS_SANS_SC_REGULAR = FontDB.Query("HarmonyOS_Sans_SC_Regular")

konabot/plugins/memepack/drawing/base/path.py

@@ -1,3 +1,3 @@
 from pathlib import Path
 
-assets = Path(__file__).parent.parent.parent / "assets"
+ASSETS = Path(__file__).parent.parent.parent / "assets"

konabot/plugins/memepack/drawing/geimao.py

@@ -5,9 +5,9 @@ import imagetext_py
 import PIL.Image
 
 from .base.fonts import HARMONYOS_SANS_SC_BLACK
-from .base.path import assets
+from .base.path import ASSETS
 
-geimao_image = PIL.Image.open(assets / "geimao.jpg").convert("RGBA")
+geimao_image = PIL.Image.open(ASSETS / "geimao.jpg").convert("RGBA")
 
 
 def _draw_geimao(saying: str):
@@ -20,6 +20,7 @@ def _draw_geimao(saying: str):
             imagetext_py.TextAlign.Center,
             cast(Any, 30.0),
             imagetext_py.Paint.Color(imagetext_py.Color.from_hex("FFFFFFFF")),
+            draw_emojis=True,
         )
     return img
     

konabot/plugins/memepack/drawing/pt.py

@@ -0,0 +1,26 @@
+import asyncio
+
+import imagetext_py
+import PIL.Image
+
+from .base.fonts import HARMONYOS_SANS_SC_REGULAR
+from .base.path import ASSETS
+
+pt_image = PIL.Image.open(ASSETS / "ptsay.png").convert("RGBA")
+
+
+def _draw_pt(saying: str):
+    img = pt_image.copy()
+    with imagetext_py.Writer(img) as iw:
+        iw.draw_text_wrapped(
+            saying, 259, 278, 0.5, 0.5, 360, 48, HARMONYOS_SANS_SC_REGULAR,
+            imagetext_py.Paint.Color(imagetext_py.Color.from_hex("000000FF")),
+            1.0,
+            imagetext_py.TextAlign.Center,
+            draw_emojis=True,
+        )
+    return img
+
+
+async def draw_pt(saying: str):
+    return await asyncio.to_thread(_draw_pt, saying)

konabot/plugins/roll_dice/__init__.py

@@ -1,19 +1,42 @@
+from typing import Optional
 from nonebot.adapters import Event as BaseEvent
 from nonebot.adapters.console.event import MessageEvent as ConsoleMessageEvent
 from nonebot.adapters.discord.event import MessageEvent as DiscordMessageEvent
-from nonebot_plugin_alconna import Alconna, UniMessage, on_alconna
+from nonebot_plugin_alconna import Alconna, Args, UniMessage, on_alconna
 
-from konabot.plugins.roll_dice.roll_dice import roll_dice
+from konabot.plugins.roll_dice.roll_dice import generate_dice_image
+from konabot.plugins.roll_dice.roll_number import get_random_number, roll_number
 
 evt = on_alconna(Alconna(
-    "摇骰子"
+    "摇数字"
 ), use_cmd_start=True, use_cmd_sep=False, skip_for_unmatch=True)
 
 @evt.handle()
 async def _(event: BaseEvent):
     if isinstance(event, DiscordMessageEvent):
-        await evt.send(await UniMessage().text("```\n" + roll_dice() + "\n```").export())
+        await evt.send(await UniMessage().text("```\n" + roll_number() + "\n```").export())
     elif isinstance(event, ConsoleMessageEvent):
-        await evt.send(await UniMessage().text(roll_dice()).export())
+        await evt.send(await UniMessage().text(roll_number()).export())
     else:
-        await evt.send(await UniMessage().text(roll_dice(wide=True)).export())
+        await evt.send(await UniMessage().text(roll_number(wide=True)).export())
+
+evt = on_alconna(Alconna(
+    "摇骰子",
+    Args["f1?", int]["f2?", int]
+), use_cmd_start=True, use_cmd_sep=False, skip_for_unmatch=True)
+
+@evt.handle()
+async def _(event: BaseEvent, f1: Optional[int] = None, f2: Optional[int] = None):
+    # if isinstance(event, DiscordMessageEvent):
+    #     await evt.send(await UniMessage().text("```\n" + roll_dice() + "\n```").export())
+    # elif isinstance(event, ConsoleMessageEvent):
+    number = 0
+    if(f1 is not None and f2 is not None):
+        number = get_random_number(f1, f2)
+    elif f1 is not None:
+        number = get_random_number(1, f1)
+    else:
+        number = get_random_number()
+    await evt.send(await UniMessage().image(raw=await generate_dice_image(number)).export())
+    # else:
+    #     await evt.send(await UniMessage().text(roll_dice(wide=True)).export())

konabot/plugins/roll_dice/base/path.py

@@ -0,0 +1,3 @@
+from pathlib import Path
+
+ASSETS = Path(__file__).parent.parent / "assets"

konabot/plugins/roll_dice/roll_dice.py

@@ -1,54 +1,203 @@
-number_arts = {
+from io import BytesIO
-    1: '''  _ 
+import cv2
- / |
+import numpy as np
- | |
+from PIL import Image, ImageDraw, ImageFont
- | |
+
- |_|
+from konabot.plugins.roll_dice.base.path import ASSETS
+
+def text_to_transparent_image(text, font_size=40, padding=0, text_color=(0, 0, 0)):
+    """
+    将文本转换为带透明背景的图像，图像大小刚好包含文本
+    """
+    # 创建临时图像来计算文本尺寸
+    temp_image = Image.new('RGB', (1, 1), (255, 255, 255))
+    temp_draw = ImageDraw.Draw(temp_image)
     
-''',
+    font = ImageFont.truetype(ASSETS / "montserrat.otf", font_size)
-    2: '''  ____  
+    # try:
- |___ \\ 
+    #     font = ImageFont.truetype(ASSETS / "montserrat.otf", font_size)
-   __) |
+    # except:
-  / __/ 
+    #     try:
- |_____|
+    #         font = ImageFont.truetype("arial.ttf", font_size)
-        ''',
+    #     except:
-    3: '''  _____ 
+    #         # 如果系统字体不可用，使用默认字体
- |___ / 
+    #         font = ImageFont.load_default()
-   |_ \\ 
+    
-  ___) |
+    # 获取文本边界框
- |____/ 
+    bbox = temp_draw.textbbox((0, 0), text, font=font)
-        ''',
+    text_width = bbox[2] - bbox[0]
-    4: '''  _  _   
+    text_height = bbox[3] - bbox[1]
- | || |  
+    
- | || |_ 
+    # 计算图像大小（文本大小 + 内边距）
- |__   _|
+    image_width = int(text_width + 2 * padding)
-    |_|  
+    image_height = int(text_height + 2 * padding)
-         ''',
+    
-    5: '''  ____  
+    # 创建RGBA模式的空白图像（带透明通道）
- | ___| 
+    image = Image.new('RGBA', (image_width, image_height), (0, 0, 0, 0))
- |___ \\ 
+    draw = ImageDraw.Draw(image)
-  ___) |
+    
- |____/ 
+    # 绘制文本（考虑内边距）
-        ''',
+    x = padding - bbox[0]  # 调整起始位置
-    6: '''   __   
+    y = padding - bbox[1]
-  / /_  
+    
- | '_ \\ 
+    # 设置文本颜色（带透明度）
- | (_) |
+    if len(text_color) == 3:
-  \\___/ 
+        text_color = text_color + (255,)  # 添加完全不透明的alpha值
-        '''
+    
-}
+    draw.text((x, y), text, fill=text_color, font=font)
+    
+    # 转换为OpenCV格式（BGRA）
+    image_cv = cv2.cvtColor(np.array(image), cv2.COLOR_RGBA2BGRA)
+    return image_cv
 
-def get_random_number(min: int = 1, max: int = 6) -> int:
+def perspective_transform(image, target, corners):
-    import random
+    """
-    return random.randint(min, max)
+    对图像进行透视变换（保持透明通道）
+    target: 画布
+    corners: 四个角点的坐标，顺序为 [左上, 右上, 右下, 左下]
+    """
+    height, width = image.shape[:2]
+    
+    # 源点（原始图像的四个角）
+    src_points = np.array([
+        [0, 0],           # 左上
+        [width-1, 0],     # 右上
+        [width-1, height-1], # 右下
+        [0, height-1]     # 左下
+    ], dtype=np.float32)
+    
+    # 目标点（变换后的四个角）
+    dst_points = np.array(corners, dtype=np.float32)
+    
+    # 计算透视变换矩阵
+    matrix = cv2.getPerspectiveTransform(src_points, dst_points)
+    
+    # 获取画布大小
+    target_height, target_width = target.shape[:2]
 
-def roll_dice(wide: bool = False) -> str:
+    # 应用透视变换（保持所有通道，包括alpha）
-    raw = number_arts[get_random_number()]
+    transformed = cv2.warpPerspective(image, matrix, (target_width, target_height), flags=cv2.INTER_LINEAR)
-    if wide:
+
-        raw = (raw
+    return transformed, matrix
-            .replace("/", "／")
+
-            .replace("\\", "＼")
+def blend_with_transparency(background, foreground, position):
-            .replace("_", "＿")
+    """
-            .replace("|", "｜")
+    将带透明通道的前景图像合成到背景图像上
-            .replace(" ", "　"))
+    position: 前景图像在背景图像上的位置 (x, y)
-    return raw
+    """
+    bg = background.copy()
+    
+    # 如果背景没有alpha通道，添加一个
+    if bg.shape[2] == 3:
+        bg = cv2.cvtColor(bg, cv2.COLOR_BGR2BGRA)
+        bg[:, :, 3] = 255  # 完全不透明
+    
+    x, y = position
+    fg_height, fg_width = foreground.shape[:2]
+    bg_height, bg_width = bg.shape[:2]
+    
+    # 确保位置在图像范围内
+    x = max(0, min(x, bg_width - fg_width))
+    y = max(0, min(y, bg_height - fg_height))
+    
+    # 提取前景的alpha通道并归一化
+    alpha_foreground = foreground[:, :, 3] / 255.0
+    
+    # 对于每个颜色通道进行合成
+    for c in range(3):
+        bg_region = bg[y:y+fg_height, x:x+fg_width, c]
+        fg_region = foreground[:, :, c]
+        
+        # alpha混合公式
+        bg[y:y+fg_height, x:x+fg_width, c] = (
+            alpha_foreground * fg_region + 
+            (1 - alpha_foreground) * bg_region
+        )
+    
+    # 更新背景的alpha通道（如果需要）
+    bg_alpha_region = bg[y:y+fg_height, x:x+fg_width, 3]
+    bg[y:y+fg_height, x:x+fg_width, 3] = np.maximum(bg_alpha_region, foreground[:, :, 3])
+    
+    return bg
+
+def precise_blend_with_perspective(background, foreground, corners):
+    """
+    精确合成：根据四个角点将前景图像透视合成到背景上
+    """
+    # 创建与背景相同大小的空白图像
+    bg_height, bg_width = background.shape[:2]
+    
+    # 如果背景没有alpha通道，转换为BGRA
+    if background.shape[2] == 3:
+        background_bgra = cv2.cvtColor(background, cv2.COLOR_BGR2BGRA)
+    else:
+        background_bgra = background.copy()
+    
+    # 创建与背景相同大小的前景图层
+    foreground_layer = np.zeros((bg_height, bg_width, 4), dtype=np.uint8)
+    
+    # 计算前景图像在背景中的边界框
+    min_x = int(min(corners[:, 0]))
+    max_x = int(max(corners[:, 0]))
+    min_y = int(min(corners[:, 1]))
+    max_y = int(max(corners[:, 1]))
+    
+    # 将变换后的前景图像放置到对应位置
+    fg_height, fg_width = foreground.shape[:2]
+    if min_y + fg_height <= bg_height and min_x + fg_width <= bg_width:
+        foreground_layer[min_y:min_y+fg_height, min_x:min_x+fg_width] = foreground
+    
+    # 创建掩码（只在前景有内容的地方合成）
+    mask = (foreground_layer[:, :, 3] > 0)
+    
+    # 合成图像
+    result = background_bgra.copy()
+    for c in range(3):
+        result[:, :, c][mask] = foreground_layer[:, :, c][mask]
+    result[:, :, 3][mask] = foreground_layer[:, :, 3][mask]
+    
+    return result
+
+async def generate_dice_image(number: int) -> BytesIO:
+    # 将文本转换为带透明背景的图像
+    text = str(number)
+    text_image = text_to_transparent_image(
+        text, 
+        font_size=60, 
+        text_color=(0, 0, 0)  # 黑色文字
+    )
+    
+    # 定义3D变换的四个角点（透视效果）
+    # 顺序: [左上, 右上, 右下, 左下]
+    corners = np.array([
+        [16, 30],    # 左上
+        [51, 5],     # 右上（上移，创建透视）
+        [88, 33],    # 右下
+        [49, 62]     # 左下（下移）
+    ], dtype=np.float32)
+    
+    # 加载背景图像，保留透明通道
+    background = cv2.imread(str(ASSETS / "template.png"), cv2.IMREAD_UNCHANGED)
+
+
+    # 对文本图像进行3D变换（保持透明通道）
+    transformed_text, transform_matrix = perspective_transform(text_image, background, corners)
+    
+    min_x = int(min(corners[:, 0]))
+    min_y = int(min(corners[:, 1]))
+    final_image_simple = blend_with_transparency(background, transformed_text, (min_x, min_y))
+
+    pil_final = Image.fromarray(final_image_simple)
+    # 导入一系列图像
+    images: list[Image.Image] = [Image.open(ASSETS / f"{i}.png") for i in range(1, 12)]
+    images.append(pil_final)
+    frame_durations = [100] * (len(images) - 1) + [100000]
+    # 保存为BytesIO对象
+    output = BytesIO()
+    images[0].save(output,
+               save_all=True,
+               append_images=images[1:],
+               duration=frame_durations,
+               format='GIF',
+               loop=1)
+    return output

konabot/plugins/roll_dice/roll_number.py

@@ -0,0 +1,54 @@
+number_arts = {
+    1: '''  _ 
+ / |
+ | |
+ | |
+ |_|
+    
+''',
+    2: '''  ____  
+ |___ \\ 
+   __) |
+  / __/ 
+ |_____|
+        ''',
+    3: '''  _____ 
+ |___ / 
+   |_ \\ 
+  ___) |
+ |____/ 
+        ''',
+    4: '''  _  _   
+ | || |  
+ | || |_ 
+ |__   _|
+    |_|  
+         ''',
+    5: '''  ____  
+ | ___| 
+ |___ \\ 
+  ___) |
+ |____/ 
+        ''',
+    6: '''   __   
+  / /_  
+ | '_ \\ 
+ | (_) |
+  \\___/ 
+        '''
+}
+
+def get_random_number(min: int = 1, max: int = 6) -> int:
+    import random
+    return random.randint(min, max)
+
+def roll_number(wide: bool = False) -> str:
+    raw = number_arts[get_random_number()]
+    if wide:
+        raw = (raw
+            .replace("/", "／")
+            .replace("\\", "＼")
+            .replace("_", "＿")
+            .replace("|", "｜")
+            .replace(" ", "　"))
+    return raw

poetry.lock

@@ -1727,6 +1727,91 @@ files = [
 [package.dependencies]
 textual = ">=3.7.0,<4.0.0"
 
+[[package]]
+name = "numpy"
+version = "2.2.6"
+description = "Fundamental package for array computing in Python"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
+    {file = "numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb"},
+    {file = "numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90"},
+    {file = "numpy-2.2.6-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:37e990a01ae6ec7fe7fa1c26c55ecb672dd98b19c3d0e1d1f326fa13cb38d163"},
+    {file = "numpy-2.2.6-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:5a6429d4be8ca66d889b7cf70f536a397dc45ba6faeb5f8c5427935d9592e9cf"},
+    {file = "numpy-2.2.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efd28d4e9cd7d7a8d39074a4d44c63eda73401580c5c76acda2ce969e0a38e83"},
+    {file = "numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc7b73d02efb0e18c000e9ad8b83480dfcd5dfd11065997ed4c6747470ae8915"},
+    {file = "numpy-2.2.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:74d4531beb257d2c3f4b261bfb0fc09e0f9ebb8842d82a7b4209415896adc680"},
+    {file = "numpy-2.2.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8fc377d995680230e83241d8a96def29f204b5782f371c532579b4f20607a289"},
+    {file = "numpy-2.2.6-cp310-cp310-win32.whl", hash = "sha256:b093dd74e50a8cba3e873868d9e93a85b78e0daf2e98c6797566ad8044e8363d"},
+    {file = "numpy-2.2.6-cp310-cp310-win_amd64.whl", hash = "sha256:f0fd6321b839904e15c46e0d257fdd101dd7f530fe03fd6359c1ea63738703f3"},
+    {file = "numpy-2.2.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f9f1adb22318e121c5c69a09142811a201ef17ab257a1e66ca3025065b7f53ae"},
+    {file = "numpy-2.2.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c820a93b0255bc360f53eca31a0e676fd1101f673dda8da93454a12e23fc5f7a"},
+    {file = "numpy-2.2.6-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3d70692235e759f260c3d837193090014aebdf026dfd167834bcba43e30c2a42"},
+    {file = "numpy-2.2.6-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:481b49095335f8eed42e39e8041327c05b0f6f4780488f61286ed3c01368d491"},
+    {file = "numpy-2.2.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b64d8d4d17135e00c8e346e0a738deb17e754230d7e0810ac5012750bbd85a5a"},
+    {file = "numpy-2.2.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba10f8411898fc418a521833e014a77d3ca01c15b0c6cdcce6a0d2897e6dbbdf"},
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+description = "Wrapper package for OpenCV python bindings."
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
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+[package.dependencies]
+numpy = {version = ">=2,<2.3.0", markers = "python_version >= \"3.9\""}
+
 [[package]]
 name = "pillow"
 version = "11.3.0"
@@ -3077,4 +3162,4 @@ type = ["pytest-mypy"]
 [metadata]
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 python-versions = ">=3.12,<4.0"
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+content-hash = "673703a789248d0f7369999c364352eb12f8bb5830a8b4b6918f8bab6425a763"

pyproject.toml

@@ -20,6 +20,7 @@ dependencies = [
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     "pillow (>=11.3.0,<12.0.0)",
     "imagetext-py (>=2.2.0,<3.0.0)",
+    "opencv-python-headless (>=4.12.0.88,<5.0.0.0)",
 ]