forked from mttu-developers/konabot
268 lines
8.9 KiB
Python
268 lines
8.9 KiB
Python
import os
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import tempfile
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from typing import Optional
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from PIL import Image, ImageSequence
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from nonebot.adapters import Event as BaseEvent
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from nonebot.plugin import PluginMetadata
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from nonebot_plugin_alconna import (
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Alconna,
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Args,
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Field,
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UniMessage,
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on_alconna,
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)
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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
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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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MIN_SPEED = 0.1
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MAX_SPEED = 20.0
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MAX_FRAMES_PER_SEGMENT = 500
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# 提示语
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SPEED_TIPS = f"倍速必须是 {MIN_SPEED} 到 {MAX_SPEED} 之间的数字"
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# 定义命令 + 参数校验
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ytpgif_cmd = on_alconna(
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Alconna(
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"ytpgif",
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Args[
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"speed?",
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float,
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Field(
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default=1.0,
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unmatch_tips=lambda x: f"“{x}”不是有效数值。{SPEED_TIPS}",
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),
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],
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),
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use_cmd_start=True,
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use_cmd_sep=False,
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skip_for_unmatch=False,
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)
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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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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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async def download_image(url: str) -> bytes:
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import httpx
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async with httpx.AsyncClient() as client:
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resp = await client.get(url, timeout=10)
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resp.raise_for_status()
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return resp.content
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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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return frame.resize((new_w, new_h), Image.Resampling.LANCZOS)
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@ytpgif_cmd.handle()
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async def handle_ytpgif(event: BaseEvent, speed: float = 1.0):
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# === 校验 speed 范围 ===
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if not (MIN_SPEED <= speed <= MAX_SPEED):
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await ytpgif_cmd.send(
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await UniMessage.text(f"❌ {SPEED_TIPS}").export()
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)
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return
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img_url = await get_image_url(event)
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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 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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return
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input_path = output_path = None
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try:
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with tempfile.NamedTemporaryFile(delete=False, suffix=".gif") as tmp_in:
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tmp_in.write(image_data)
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input_path = tmp_in.name
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with tempfile.NamedTemporaryFile(delete=False, suffix=".gif") as tmp_out:
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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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# === 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：截取正向 + 镜像两段 ===
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frames_with_duration = []
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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)
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frames_with_duration.append((resized_frame, dur_sec))
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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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# 正向段
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for img, dur in frames_with_duration:
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if accumulated + dur > max_dur or frame_count >= MAX_FRAMES_PER_SEGMENT:
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break
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output_frames.append(img)
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output_durations_ms.append(int(dur * 1000))
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accumulated += dur
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frame_count += 1
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if frame_count == 0:
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await ytpgif_cmd.send(
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await UniMessage.text("动图帧太短，无法生成有效片段。").export()
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)
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return
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# 镜像段（从头开始）
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accumulated = 0.0
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frame_count = 0
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for img, dur in frames_with_duration:
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if accumulated + dur > max_dur or frame_count >= MAX_FRAMES_PER_SEGMENT:
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break
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flipped = img.transpose(Image.FLIP_LEFT_RIGHT)
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output_frames.append(flipped)
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output_durations_ms.append(int(dur * 1000))
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accumulated += dur
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frame_count += 1
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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("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))
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duration_ms = int(interval_sec * 1000)
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frame1 = resized_frame
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frame2 = resized_frame.transpose(Image.FLIP_LEFT_RIGHT)
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output_frames = [frame1, frame2]
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output_durations_ms = [duration_ms, duration_ms]
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if len(output_frames) < 1:
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await ytpgif_cmd.send(
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await UniMessage.text("未能生成任何帧。").export()
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)
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return
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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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result_image = UniMessage.image(raw=f.read())
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await ytpgif_cmd.send(await result_image.export())
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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、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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try:
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os.unlink(path)
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except: # noqa
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pass |