Merge pull request '添加安安展示' (#27) from tnot/konabot:添加安安展示 into master

Reviewed-on: #27

konabot/plugins/image_process/__init__.py

@@ -1,10 +1,10 @@
 import re
 from io import BytesIO
 
+import PIL.Image
 from nonebot import on_message
 from nonebot.adapters import Bot
-from nonebot_plugin_alconna import (Alconna, Args, Image, Option, UniMessage,
-                                    on_alconna)
+from nonebot_plugin_alconna import Alconna, Args, Image, Option, UniMessage, on_alconna
 
 from konabot.common.nb.exc import BotExceptionMessage
 from konabot.common.nb.extract_image import PIL_Image
@@ -29,15 +29,17 @@ def parse_timestamp(tx: str) -> float | None:
     return res
 
 
-cmd_giftool = on_alconna(Alconna(
-    "giftool",
-    Args["img", Image | None],
-    Option("--ss", Args["start_point", str]),
-    Option("--frames:v", Args["frame_count", int]),
-    Option("-t", Args["length", str]),
-    Option("-to", Args["end_point", str]),
-    Option("--speed", Args["speed_factor", float], default=1.0, alias=["-s"]),
-))
+cmd_giftool = on_alconna(
+    Alconna(
+        "giftool",
+        Args["img", Image | None],
+        Option("--ss", Args["start_point", str]),
+        Option("--frames:v", Args["frame_count", int]),
+        Option("-t", Args["length", str]),
+        Option("-to", Args["end_point", str]),
+        Option("--speed", Args["speed_factor", float], default=1.0, alias=["-s"]),
+    )
+)
 
 
 @cmd_giftool.handle()
@@ -80,81 +82,66 @@ async def _(
     if not getattr(image, "is_animated", False):
         raise BotExceptionMessage("错误：输入的不是动图（GIF）")
 
-    frames = []
-    durations = []
-    total_duration = 0.0
-
+    ##
+    # 从这里开始，采样整个 GIF 图
+    frames: list[PIL.Image.Image] = []
+    durations: list[float] = []
     try:
         for i in range(getattr(image, "n_frames")):
             image.seek(i)
             frames.append(image.copy())
-            duration = image.info.get("duration", 100)  # 单位：毫秒
+            duration = image.info.get("duration", 100) / 1000
             durations.append(duration)
-            total_duration += duration / 1000.0  # 转为秒
     except EOFError:
         pass
-
     if not frames:
         raise BotExceptionMessage("错误：读取 GIF 帧失败")
+    # 采样结束
 
-    def time_to_frame_index(target_time: float) -> int:
-        if target_time <= 0:
-            return 0
-        cum = 0.0
-        for idx, dur in enumerate(durations):
-            cum += dur / 1000.0
-            if cum >= target_time:
-                return min(idx, len(frames) - 1)
-        return len(frames) - 1
-    start_frame = 0
-    end_frame = len(frames) - 1
-    if ss is not None:
-        start_frame = time_to_frame_index(ss)
-    if to is not None:
-        end_frame = time_to_frame_index(to)
-        if end_frame < start_frame:
-            end_frame = start_frame
-    elif t is not None:
-        end_time = (ss or 0.0) + t
-        end_frame = time_to_frame_index(end_time)
-        if end_frame < start_frame:
-            end_frame = start_frame
+    ##
+    # 根据开始、结束时间或者帧数量来裁取 GIF 图
 
-    start_frame = max(0, start_frame)
-    end_frame = min(len(frames) - 1, end_frame)
-    selected_frames = frames[start_frame : end_frame + 1]
-    selected_durations = durations[start_frame : end_frame + 1]
+    begin_time = ss or 0
+    end_time = sum(durations)
+    end_time = min(begin_time + (t or end_time), to or end_time, end_time)
 
-    if frame_count is not None and frame_count > 0:
-        if frame_count >= len(selected_frames):
-            pass
-        else:
-            step = len(selected_frames) / frame_count
-            sampled_frames = []
-            sampled_durations = []
-            for i in range(frame_count):
-                idx = int(i * step)
-                sampled_frames.append(selected_frames[idx])
-                sampled_durations.append(
-                    sum(selected_durations) // len(selected_durations)
-                )
-            selected_frames = sampled_frames
-            selected_durations = sampled_durations
+    accumulated = 0.0
+    status = 0
 
-    output_img = BytesIO()
+    sel_frames: list[PIL.Image.Image] = []
+    sel_durations: list[float] = []
 
-    adjusted_durations = [
-        dur / speed_factor for dur in selected_durations
-    ]
+    for i in range(len(frames)):
+        frame = frames[i]
+        duration = durations[i]
+
+        if status == 0:
+            if accumulated + duration > begin_time:
+                status = 1
+                sel_frames.append(frame)
+                sel_durations.append(accumulated + duration - begin_time)
+        elif status == 1:
+            if accumulated + duration > end_time:
+                sel_frames.append(frame)
+                sel_durations.append(end_time - accumulated)
+                break
+            sel_frames.append(frame)
+            sel_durations.append(duration)
+
+        accumulated += duration
+
+    ##
+    # 加速！
+    sel_durations = [dur / speed_factor * 1000 for dur in durations]
 
     rframes = []
     rdur = []
 
     acc_mod_20 = 0
 
-    for i in range(len(selected_frames)):
-        fr = selected_frames[i]
-        du: float = adjusted_durations[i]
+    for i in range(len(sel_frames)):
+        fr = sel_frames[i]
+        du = round(sel_durations[i])
 
         if du >= 20:
             rframes.append(fr)
@@ -170,10 +157,12 @@ async def _(
                 if acc_mod_20 >= 20:
                     acc_mod_20 = 0
 
-    if len(rframes) == 1 and len(selected_frames) > 1:
-        rframes.append(selected_frames[max(2, len(selected_frames) // 2)])
+    if len(rframes) == 1 and len(sel_frames) > 1:
+        rframes.append(sel_frames[max(2, len(sel_frames) // 2)])
         rdur.append(20)
 
+    ##
+    # 收尾：看看透明度这块
     transparency_flag = False
     for f in rframes:
         if f.mode == "RGBA":
@@ -186,12 +175,13 @@ async def _(
 
     tf = {}
     if transparency_flag:
-        tf['transparency'] = 0
+        tf["transparency"] = 0
 
     if is_rev:
         rframes = rframes[::-1]
         rdur = rdur[::-1]
 
+    output_img = BytesIO()
     if rframes:
         rframes[0].save(
             output_img,

konabot/plugins/memepack/__init__.py

@@ -2,25 +2,52 @@ from io import BytesIO
 from typing import Iterable, cast
 
 from nonebot import on_message
-from nonebot_plugin_alconna import (Alconna, Args, Field, Image, MultiVar, Option, Text,
-                                    UniMessage, UniMsg, on_alconna)
+from nonebot_plugin_alconna import (
+    Alconna,
+    Args,
+    Field,
+    Image,
+    MultiVar,
+    Option,
+    Text,
+    UniMessage,
+    UniMsg,
+    on_alconna,
+)
 
 from konabot.common.nb.extract_image import PIL_Image, extract_image_from_message
-from konabot.plugins.memepack.drawing.display import draw_cao_display, draw_snaur_display
-from konabot.plugins.memepack.drawing.saying import (draw_cute_ten,
-                                                     draw_geimao, draw_mnk,
-                                                     draw_pt, draw_suan)
+from konabot.plugins.memepack.drawing.display import (
+    draw_cao_display,
+    draw_snaur_display,
+    draw_anan_display,
+)
+from konabot.plugins.memepack.drawing.saying import (
+    draw_cute_ten,
+    draw_geimao,
+    draw_mnk,
+    draw_pt,
+    draw_suan,
+)
 
 from nonebot.adapters import Bot, Event
 
 from returns.result import Success, Failure
 
-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, aliases={"给猫哈"})
+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,
+    aliases={"给猫哈"},
+)
+
 
 @geimao.handle()
 async def _(saying: list[str]):
@@ -31,12 +58,21 @@ async def _(saying: list[str]):
     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 = 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]):
@@ -47,12 +83,21 @@ async def _(saying: list[str]):
     await pt.send(await UniMessage().image(raw=img_bytes).export())
 
 
-mnk = on_alconna(Alconna(
-    "re:小?黑白子?说",
-    Args["saying", MultiVar(str, '+'), Field(
-        missing_tips=lambda: "你没有写黑白子说了什么"
-    )]
-), use_cmd_start=True, use_cmd_sep=False, skip_for_unmatch=False, aliases={"mnk说"})
+mnk = on_alconna(
+    Alconna(
+        "re:小?黑白子?说",
+        Args[
+            "saying",
+            MultiVar(str, "+"),
+            Field(missing_tips=lambda: "你没有写黑白子说了什么"),
+        ],
+    ),
+    use_cmd_start=True,
+    use_cmd_sep=False,
+    skip_for_unmatch=False,
+    aliases={"mnk说"},
+)
+
 
 @mnk.handle()
 async def _(saying: list[str]):
@@ -63,12 +108,21 @@ async def _(saying: list[str]):
     await mnk.send(await UniMessage().image(raw=img_bytes).export())
 
 
-suan = on_alconna(Alconna(
-    "小蒜说",
-    Args["saying", MultiVar(str, '+'), Field(
-        missing_tips=lambda: "你没有写小蒜说了什么"
-    )]
-), use_cmd_start=True, use_cmd_sep=False, skip_for_unmatch=False, aliases=set())
+suan = on_alconna(
+    Alconna(
+        "小蒜说",
+        Args[
+            "saying",
+            MultiVar(str, "+"),
+            Field(missing_tips=lambda: "你没有写小蒜说了什么"),
+        ],
+    ),
+    use_cmd_start=True,
+    use_cmd_sep=False,
+    skip_for_unmatch=False,
+    aliases=set(),
+)
+
 
 @suan.handle()
 async def _(saying: list[str]):
@@ -79,12 +133,21 @@ async def _(saying: list[str]):
     await suan.send(await UniMessage().image(raw=img_bytes).export())
 
 
-dsuan = on_alconna(Alconna(
-    "大蒜说",
-    Args["saying", MultiVar(str, '+'), Field(
-        missing_tips=lambda: "你没有写大蒜说了什么"
-    )]
-), use_cmd_start=True, use_cmd_sep=False, skip_for_unmatch=False, aliases=set())
+dsuan = on_alconna(
+    Alconna(
+        "大蒜说",
+        Args[
+            "saying",
+            MultiVar(str, "+"),
+            Field(missing_tips=lambda: "你没有写大蒜说了什么"),
+        ],
+    ),
+    use_cmd_start=True,
+    use_cmd_sep=False,
+    skip_for_unmatch=False,
+    aliases=set(),
+)
+
 
 @dsuan.handle()
 async def _(saying: list[str]):
@@ -95,12 +158,21 @@ async def _(saying: list[str]):
     await dsuan.send(await UniMessage().image(raw=img_bytes).export())
 
 
-cutecat = on_alconna(Alconna(
-    "乖猫说",
-    Args["saying", MultiVar(str, '+'), Field(
-        missing_tips=lambda: "你没有写十猫说了什么"
-    )]
-), use_cmd_start=True, use_cmd_sep=False, skip_for_unmatch=False, aliases={"十猫说"})
+cutecat = on_alconna(
+    Alconna(
+        "乖猫说",
+        Args[
+            "saying",
+            MultiVar(str, "+"),
+            Field(missing_tips=lambda: "你没有写十猫说了什么"),
+        ],
+    ),
+    use_cmd_start=True,
+    use_cmd_sep=False,
+    skip_for_unmatch=False,
+    aliases={"十猫说"},
+)
+
 
 @cutecat.handle()
 async def _(saying: list[str]):
@@ -113,13 +185,14 @@ async def _(saying: list[str]):
 
 cao_display_cmd = on_message()
 
+
 @cao_display_cmd.handle()
 async def _(msg: UniMsg, evt: Event, bot: Bot):
     flag = False
     for text in cast(Iterable[Text], msg.get(Text)):
         if text.text.strip() == "小槽展示":
             flag = True
-        elif text.text.strip() == '':
+        elif text.text.strip() == "":
             continue
         else:
             return
@@ -134,29 +207,71 @@ async def _(msg: UniMsg, evt: Event, bot: Bot):
         case Failure(err):
             await cao_display_cmd.send(
                 await UniMessage()
-                    .at(user_id=evt.get_user_id())
-                    .text(' ')
-                    .text(err)
-                    .export()
+                .at(user_id=evt.get_user_id())
+                .text(" ")
+                .text(err)
+                .export()
             )
 
 
-snaur_display_cmd = on_alconna(Alconna(
-    "卵总展示",
-    Option("--whiteness",   Args["whiteness", float],   alias=["-w"]),
-    Option("--black-level", Args["black_level", float], alias=["-b"]),
-    Option("--opacity",     Args["opacity", float],     alias=["-o"]),
-    Option("--saturation",  Args["saturation", float],  alias=["-s"]),
-    Args["image", Image | None],
-))
+snaur_display_cmd = on_alconna(
+    Alconna(
+        "卵总展示",
+        Option("--whiteness", Args["whiteness", float], alias=["-w"]),
+        Option("--black-level", Args["black_level", float], alias=["-b"]),
+        Option("--opacity", Args["opacity", float], alias=["-o"]),
+        Option("--saturation", Args["saturation", float], alias=["-s"]),
+        Args["image", Image | None],
+    )
+)
+
 
 @snaur_display_cmd.handle()
-async def _(img: PIL_Image, whiteness: float = 0.0, black_level: float = 0.2,
-            opacity: float = 0.8, saturation: float = 0.85):
+async def _(
+    img: PIL_Image,
+    whiteness: float = 0.0,
+    black_level: float = 0.2,
+    opacity: float = 0.8,
+    saturation: float = 0.85,
+):
     img_processed = await draw_snaur_display(
-        img, whiteness, black_level, opacity, saturation, 
+        img,
+        whiteness,
+        black_level,
+        opacity,
+        saturation,
     )
     img_data = BytesIO()
     img_processed.save(img_data, "PNG")
     await snaur_display_cmd.send(await UniMessage().image(raw=img_data).export())
 
+anan_display_cmd = on_message()
+@anan_display_cmd.handle()
+async def _(msg: UniMsg, evt: Event, bot: Bot):
+    flag = False
+    for text in cast(Iterable[Text], msg.get(Text)):
+        stripped = text.text.strip()
+        if stripped == "安安展示":
+            flag = True
+        elif stripped == "":
+            continue
+        else:
+            return
+    if not flag:
+        return
+
+    match await extract_image_from_message(evt.get_message(), evt, bot):
+        case Success(img):
+            img_handled = await draw_anan_display(img)
+            img_bytes = BytesIO()
+            img_handled.save(img_bytes, format="PNG")
+            await anan_display_cmd.send(await UniMessage().image(raw=img_bytes).export())
+        case Failure(err):
+            await anan_display_cmd.send(
+                await UniMessage()
+                .at(user_id=evt.get_user_id())
+                .text(" ")
+                .text(err)
+                .export()
+            )
+

konabot/plugins/memepack/drawing/display.py

@@ -27,6 +27,15 @@ SNAUR_QUAD_POINTS = np.float32(cast(Any, [
     [106, 1280],
 ]))
 
+anan_image_base = PIL.Image.open(ASSETS_PATH / "img" / "meme" / "anan_base.png")
+anan_image_top  = PIL.Image.open(ASSETS_PATH / "img" / "meme" / "anan_top.png")
+ANAN_QUAD_POINTS = np.float32([
+    [157, 585],
+    [793, 599],
+    [781, 908],
+    [160, 908]
+])
+
 def _draw_cao_display(image: PIL.Image.Image):
     src = np.array(image.convert("RGB"))
     h, w = src.shape[:2]
@@ -139,3 +148,52 @@ async def draw_snaur_display(
         opacity, saturation,
     )
 
+
+def _draw_anan_display(image: PIL.Image.Image) -> PIL.Image.Image:
+    src = np.array(image.convert("RGBA"))
+    h, w = src.shape[:2]
+
+    src_points = np.float32([
+        [0, 0],
+        [w, 0],
+        [w, h],
+        [0, h]
+    ])
+    dst_points = ANAN_QUAD_POINTS
+
+    M = cv2.getPerspectiveTransform(src_points, dst_points)
+    output_w, output_h = anan_image_top.size
+
+    src_rgb = cv2.cvtColor(src, cv2.COLOR_RGBA2RGB) if src.shape[2] == 4 else src
+    warped_rgb = cv2.warpPerspective(
+        src_rgb,
+        M,
+        (output_w, output_h),
+        flags=cv2.INTER_LINEAR,
+        borderMode=cv2.BORDER_CONSTANT,
+        borderValue=(0, 0, 0)
+    )
+
+    mask = np.zeros((h, w), dtype=np.uint8)
+    mask[:, :] = 255
+    warped_mask = cv2.warpPerspective(
+        mask,
+        M,
+        (output_w, output_h),
+        flags=cv2.INTER_LINEAR,
+        borderMode=cv2.BORDER_CONSTANT,
+        borderValue=0
+    )
+
+    warped_rgba = cv2.cvtColor(warped_rgb, cv2.COLOR_RGB2RGBA)
+    warped_rgba[:, :, 3] = warped_mask
+
+    warped_pil = PIL.Image.fromarray(warped_rgba, 'RGBA')
+
+    result = PIL.Image.alpha_composite(anan_image_base, warped_pil)
+    result = PIL.Image.alpha_composite(result, anan_image_top)
+    return result
+
+
+async def draw_anan_display(image: PIL.Image.Image) -> PIL.Image.Image:
+    return await asyncio.to_thread(_draw_anan_display, image)