forked from mttu-developers/konabot
fix: 透明底正常生成;静动图分离完成
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@ -15,14 +15,14 @@ from nonebot_plugin_alconna import (
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__plugin_meta__ = PluginMetadata(
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name="ytpgif",
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description="生成来回镜像翻转的动图:动图按时间分段播放,静态图高频翻转(带参数范围保护)",
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usage="/ytpgif [倍速=1.0] (倍速范围:0.1~20.0)",
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description="生成来回镜像翻转的仿 YTPMV 动图。",
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usage="ytpgif [倍速=1.0] (倍速范围:0.1~20.0)",
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type="application",
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config=None,
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homepage=None,
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)
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# 参数定义(带硬性限制)
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# 参数定义
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BASE_SEGMENT_DURATION = 0.25
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BASE_INTERVAL = 0.25
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MAX_SIZE = 256
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@ -54,12 +54,15 @@ ytpgif_cmd = on_alconna(
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async def get_image_url(event: BaseEvent) -> Optional[str]:
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"""从事件中提取图片 URL,支持直接消息和回复"""
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msg = event.get_message()
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for seg in msg:
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if seg.type == "image" and seg.data.get("url"):
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return str(seg.data["url"])
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if hasattr(event, "reply") and (reply := event.reply):
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for seg in reply.message:
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reply_msg = reply.message
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for seg in reply_msg:
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if seg.type == "image" and seg.data.get("url"):
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return str(seg.data["url"])
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return None
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@ -74,9 +77,11 @@ async def download_image(url: str) -> bytes:
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def resize_frame(frame: Image.Image) -> Image.Image:
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"""缩放图像,保持宽高比,不超过 MAX_SIZE"""
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w, h = frame.size
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if w <= MAX_SIZE and h <= MAX_SIZE:
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return frame
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scale = MAX_SIZE / max(w, h)
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new_w = int(w * scale)
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new_h = int(h * scale)
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@ -96,14 +101,15 @@ async def handle_ytpgif(event: BaseEvent, speed: float = 1.0):
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if not img_url:
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await ytpgif_cmd.send(
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await UniMessage.text(
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"请发送一张图片并使用 /ytpgif,或回复一张图片来生成镜像动图。"
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"请发送一张图片或回复一张图片来生成镜像动图。"
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).export()
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)
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return
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try:
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image_data = await download_image(img_url)
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except Exception:
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except Exception as e:
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print(f"[YTPGIF] 下载失败: {e}")
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await ytpgif_cmd.send(
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await UniMessage.text("❌ 图片下载失败,请重试。").export()
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)
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@ -119,22 +125,47 @@ async def handle_ytpgif(event: BaseEvent, speed: float = 1.0):
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output_path = tmp_out.name
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with Image.open(input_path) as src_img:
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is_animated = getattr(src_img, "is_animated", False) or src_img.n_frames > 1
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# === 判断是否为动图 ===
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try:
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n_frames = getattr(src_img, "n_frames", 1)
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is_animated = n_frames > 1
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except Exception:
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is_animated = False
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output_frames = []
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output_durations_ms = []
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if is_animated:
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# === 动图模式:播放两段,每段最多 BASE_SEGMENT_DURATION * speed 秒,且帧数 ≤ 100 ===
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# === 动图模式:截取正向 + 镜像两段 ===
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frames_with_duration = []
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for frame in ImageSequence.Iterator(src_img):
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rgb_frame = frame.convert("RGB")
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resized_frame = resize_frame(rgb_frame)
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palette = src_img.getpalette()
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for idx in range(n_frames):
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src_img.seek(idx)
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frame = src_img.copy()
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# 检查是否需要透明通道
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has_alpha = (
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frame.mode in ("RGBA", "LA")
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or (frame.mode == "P" and "transparency" in frame.info)
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)
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if has_alpha:
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frame = frame.convert("RGBA")
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else:
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frame = frame.convert("RGB")
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resized_frame = resize_frame(frame)
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# 若原图有调色板,尝试保留(可选)
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if palette and resized_frame.mode == "P":
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try:
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resized_frame.putpalette(palette)
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except Exception: # noqa
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pass
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ms = frame.info.get("duration", int(BASE_SEGMENT_DURATION * 1000))
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dur_sec = max(0.01, ms / 1000.0) # 至少 10ms
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dur_sec = max(0.01, ms / 1000.0)
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frames_with_duration.append((resized_frame, dur_sec))
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max_dur = BASE_SEGMENT_DURATION * speed # 每段最大播放时间
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max_dur = BASE_SEGMENT_DURATION * speed
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accumulated = 0.0
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frame_count = 0
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@ -167,10 +198,10 @@ async def handle_ytpgif(event: BaseEvent, speed: float = 1.0):
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else:
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# === 静态图模式:制作翻转动画 ===
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raw_frame = src_img.convert("RGB")
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raw_frame = src_img.convert("RGBA")
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resized_frame = resize_frame(raw_frame)
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interval_sec = max(0.025, min(2.5, BASE_INTERVAL / speed)) # 限制在 25ms ~ 2.5s
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interval_sec = max(0.025, min(2.5, BASE_INTERVAL / speed))
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duration_ms = int(interval_sec * 1000)
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frame1 = resized_frame
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@ -185,16 +216,38 @@ async def handle_ytpgif(event: BaseEvent, speed: float = 1.0):
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)
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return
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# 保存 GIF
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output_frames[0].save(
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output_path,
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save_all=True,
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append_images=output_frames[1:],
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format="GIF",
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loop=0,
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duration=output_durations_ms,
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disposal=2,
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)
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# === 🔐 关键修复:防止无透明图的颜色被当成透明 ===
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need_transparency = False
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for frame in output_frames:
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if frame.mode == "RGBA":
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alpha_channel = frame.getchannel("A")
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if any(pix < 255 for pix in alpha_channel.getdata()):
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need_transparency = True
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break
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elif frame.mode == "P" and "transparency" in frame.info:
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need_transparency = True
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break
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# 如果不需要透明,则统一转为 RGB 避免调色板污染
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if not need_transparency:
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output_frames = [f.convert("RGB") for f in output_frames]
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# 构建保存参数
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save_kwargs = {
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"save_all": True,
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"append_images": output_frames[1:],
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"format": "GIF",
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"loop": 0, # 无限循环
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"duration": output_durations_ms,
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"disposal": 2, # 清除到背景色,避免残留
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"optimize": False, # 关闭抖动(等效 -dither none)
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}
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# 只有真正需要透明时才启用 transparency
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if need_transparency:
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save_kwargs["transparency"] = 0
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output_frames[0].save(output_path, **save_kwargs)
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# 发送结果
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with open(output_path, "rb") as f:
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@ -204,9 +257,12 @@ async def handle_ytpgif(event: BaseEvent, speed: float = 1.0):
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except Exception as e:
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print(f"[YTPGIF] 处理失败: {e}")
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await ytpgif_cmd.send(
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await UniMessage.text("❌ 处理失败,可能是图片格式不支持或文件过大。").export()
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await UniMessage.text("❌ 处理失败,可能是图片格式不支持、文件损坏或过大。").export()
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)
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finally:
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for path in filter(None, [input_path, output_path]):
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if os.path.exists(path):
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os.unlink(path)
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try:
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os.unlink(path)
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except: # noqa
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pass
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