空调指数概率损坏与空调、骰子gif图的背景优化

konabot/plugins/air_conditioner/__init__.py

@@ -9,6 +9,9 @@ from konabot.common.longtask import DepLongTaskTarget
 from konabot.common.path import ASSETS_PATH
 from konabot.plugins.air_conditioner.ac import AirConditioner, generate_ac_image
 
+import random
+import math
+
 def get_ac(id: str) -> AirConditioner:
     ac = AirConditioner.air_conditioners.get(id)
     if ac is None:
@@ -82,14 +85,17 @@ async def _(event: BaseEvent, target: DepLongTaskTarget):
         return
     ac.temperature += 1
     if ac.temperature > 40:
-        # 打开爆炸图片
+        # 根据温度随机出是否爆炸，40度开始，呈指数增长
-        with open(ASSETS_PATH / "img" / "other" / "boom.jpg", "rb") as f:
+        possibility = -math.e ** ((40-ac.temperature) / 50) + 1
-            output = BytesIO()
+        if random.random() < possibility:
-            Image.open(f).save(output, format="GIF")
+            # 打开爆炸图片
-            await evt.send(await UniMessage().image(raw=output).export())
+            with open(ASSETS_PATH / "img" / "other" / "boom.jpg", "rb") as f:
-        ac.burnt = True
+                output = BytesIO()
-        await evt.send("太热啦，空调炸了！")
+                Image.open(f).save(output, format="GIF")
-        return
+                await evt.send(await UniMessage().image(raw=output).export())
+            ac.burnt = True
+            await evt.send("太热啦，空调炸了！")
+            return
     await send_ac_image(evt, ac)
 
 evt = on_alconna(Alconna(
@@ -105,7 +111,10 @@ async def _(event: BaseEvent, target: DepLongTaskTarget):
         return
     ac.temperature -= 1
     if ac.temperature < 0:
-        ac.frozen = True
+        # 根据温度随机出是否冻结，0度开始，呈指数增长
+        possibility = -math.e ** (ac.temperature / 50) + 1
+        if random.random() < possibility:
+            ac.frozen = True
     await send_ac_image(evt, ac)
 
 evt = on_alconna(Alconna(

konabot/plugins/air_conditioner/ac.py

@@ -168,13 +168,13 @@ def precise_blend_with_perspective(background, foreground, corners):
     
     return result
 
-def wiggle_transform(image) -> list[np.ndarray]:
+def wiggle_transform(image, intensity=2) -> list[np.ndarray]:
     '''
     返回一组图像振动的帧组，模拟空调运作时的抖动效果
     '''
     frames = []
     height, width = image.shape[:2]
-    shifts = [(-2, 0), (2, 0), (0, -2), (0, 2), (0, 0)]
+    shifts = [(-intensity, 0), (intensity, 0), (0, -intensity), (0, intensity), (0, 0)]
     for dx, dy in shifts:
         M = np.float32([[1, 0, dx], [0, 1, dy]])
         shifted = cv2.warpAffine(image, M, (width, height))
@@ -218,8 +218,10 @@ async def generate_ac_image(ac: AirConditioner) -> BytesIO:
 
     final_image_simple = blend_with_transparency(ac_image, transformed_text, (0, 0))
 
-    frames = wiggle_transform(final_image_simple)
+    intensity = max(2, abs(ac.temperature - 24) // 2)
+
+    frames = wiggle_transform(final_image_simple, intensity=intensity)
     pil_frames = [Image.fromarray(frame) for frame in frames]
     output = BytesIO()
-    pil_frames[0].save(output, format="GIF", save_all=True, append_images=pil_frames[1:], loop=0, duration=50)
+    pil_frames[0].save(output, format="GIF", save_all=True, append_images=pil_frames[1:], loop=0, duration=50, disposal=2)
     return output

konabot/plugins/roll_dice/roll_dice.py

@@ -394,7 +394,8 @@ async def generate_dice_image(number: str) -> BytesIO:
                append_images=images[1:],
                duration=frame_durations,
                format='GIF',
-               loop=1)
+               loop=1,
+               disposal=2)
     output.seek(0)
     # pil_final.save(output, format='PNG')
     return output