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Merge pull request 'fix: 透明底正常生成；静动图分离完成' (#18) from tnot/konabot:fix--修复部分Bug into master

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Reviewed-on: mttu-developers/konabot#18
This commit is contained in:
钟晓帕
2025-10-01 19:24:23 +08:00
parent 265415e727 fb2c3f1ce2
commit 8c4fa2b5e4
1 changed files with 83 additions and 27 deletions
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110
konabot/plugins/ytpgif/__init__.py
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@ -15,14 +15,14 @@ from nonebot_plugin_alconna import (
__plugin_meta__ = PluginMetadata(
name="ytpgif",
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）",
usage="/ytpgif [倍速=1.0] （倍速范围：0.1～20.0）",
description="生成来回镜像翻转的仿 YTPMV 动图。",
usage="ytpgif [倍速=1.0] （倍速范围：0.1～20.0）",
type="application",
config=None,
homepage=None,
)
# 参数定义（带硬性限制）
# 参数定义
BASE_SEGMENT_DURATION = 0.25
BASE_INTERVAL = 0.25
MAX_SIZE = 256
@ -54,12 +54,15 @@ 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 := event.reply):
for seg in reply.message:
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
@ -74,9 +77,11 @@ async def download_image(url: str) -> bytes:
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
if w <= MAX_SIZE and h <= MAX_SIZE:
return frame
scale = MAX_SIZE / max(w, h)
new_w = int(w * scale)
new_h = int(h * scale)
@ -96,14 +101,15 @@ async def handle_ytpgif(event: BaseEvent, speed: float = 1.0):
if not img_url:
await ytpgif_cmd.send(
await UniMessage.text(
"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。"
"请发送一张图片或回复一张图片来生成镜像动图。"
).export()
)
return
try:
image_data = await download_image(img_url)
except Exception:
except Exception as e:
print(f"[YTPGIF] 下载失败: {e}")
await ytpgif_cmd.send(
await UniMessage.text("❌ 图片下载失败，请重试。").export()
)
@ -119,22 +125,47 @@ async def handle_ytpgif(event: BaseEvent, speed: float = 1.0):
output_path = tmp_out.name
with Image.open(input_path) as src_img:
is_animated = getattr(src_img, "is_animated", False) or src_img.n_frames > 1
# === 判断是否为动图 ===
try:
n_frames = getattr(src_img, "n_frames", 1)
is_animated = n_frames > 1
except Exception:
is_animated = False
output_frames = []
output_durations_ms = []
if is_animated:
# === 动图模式：播放两段，每段最多 BASE_SEGMENT_DURATION * speed 秒，且帧数 ≤ 100 ===
# === 动图模式：截取正向 + 镜像两段 ===
frames_with_duration = []
for frame in ImageSequence.Iterator(src_img):
rgb_frame = frame.convert("RGB")
resized_frame = resize_frame(rgb_frame)
palette = src_img.getpalette()
for idx in range(n_frames):
src_img.seek(idx)
frame = src_img.copy()
# 检查是否需要透明通道
has_alpha = (
frame.mode in ("RGBA", "LA")
or (frame.mode == "P" and "transparency" in frame.info)
)
if has_alpha:
frame = frame.convert("RGBA")
else:
frame = frame.convert("RGB")
resized_frame = resize_frame(frame)
# 若原图有调色板，尝试保留（可选）
if palette and resized_frame.mode == "P":
try:
resized_frame.putpalette(palette)
except Exception: # noqa
pass
ms = frame.info.get("duration", int(BASE_SEGMENT_DURATION * 1000))
dur_sec = max(0.01, ms / 1000.0) # 至少 10ms
dur_sec = max(0.01, ms / 1000.0)
frames_with_duration.append((resized_frame, dur_sec))
max_dur = BASE_SEGMENT_DURATION * speed # 每段最大播放时间
max_dur = BASE_SEGMENT_DURATION * speed
accumulated = 0.0
frame_count = 0
@ -167,10 +198,10 @@ async def handle_ytpgif(event: BaseEvent, speed: float = 1.0):
else:
# === 静态图模式：制作翻转动画 ===
raw_frame = src_img.convert("RGB")
raw_frame = src_img.convert("RGBA")
resized_frame = resize_frame(raw_frame)
interval_sec = max(0.025, min(2.5, BASE_INTERVAL / speed)) # 限制在 25ms ~ 2.5s
interval_sec = max(0.025, min(2.5, BASE_INTERVAL / speed))
duration_ms = int(interval_sec * 1000)
frame1 = resized_frame
@ -185,16 +216,38 @@ async def handle_ytpgif(event: BaseEvent, speed: float = 1.0):
)
return
# 保存 GIF
output_frames[0].save(
output_path,
save_all=True,
append_images=output_frames[1:],
format="GIF",
loop=0,
duration=output_durations_ms,
disposal=2,
)
# === 🔐 关键修复：防止无透明图的颜色被当成透明 ===
need_transparency = False
for frame in output_frames:
if frame.mode == "RGBA":
alpha_channel = frame.getchannel("A")
if any(pix < 255 for pix in alpha_channel.getdata()):
need_transparency = True
break
elif frame.mode == "P" and "transparency" in frame.info:
need_transparency = True
break
# 如果不需要透明，则统一转为 RGB 避免调色板污染
if not need_transparency:
output_frames = [f.convert("RGB") for f in output_frames]
# 构建保存参数
save_kwargs = {
"save_all": True,
"append_images": output_frames[1:],
"format": "GIF",
"loop": 0, # 无限循环
"duration": output_durations_ms,
"disposal": 2, # 清除到背景色，避免残留
"optimize": False, # 关闭抖动（等效 -dither none）
}
# 只有真正需要透明时才启用 transparency
if need_transparency:
save_kwargs["transparency"] = 0
output_frames[0].save(output_path, **save_kwargs)
# 发送结果
with open(output_path, "rb") as f:
@ -204,9 +257,12 @@ async def handle_ytpgif(event: BaseEvent, speed: float = 1.0):
except Exception as e:
print(f"[YTPGIF] 处理失败: {e}")
await ytpgif_cmd.send(
await UniMessage.text("❌ 处理失败，可能是图片格式不支持或文件过大。").export()
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()
)
finally:
for path in filter(None, [input_path, output_path]):
if os.path.exists(path):
os.unlink(path)
try:
os.unlink(path)
except: # noqa
pass