feat: 内置阅读器、批注笔记与 AI 助手，发布 1.3.0

新增 PDF/EPUB/MOBI/AZW 内置阅读器，PDF 分段读取支持超大文件，
批注、读书与画布笔记、封面生成与本地导入。AI 助手支持三种协议、
图像上下文与安全 Markdown 渲染，上下文范围改为 选中/当前页/全文，
页面与全文无需选中文本即可发送，全文会提示可能超出模型限制。

便携版输出目录固定为 PeopleLib-windows-x64，不再随版本号变化，
避免升级后 data/ 被遗留在旧目录。

Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>

icons/tools/make_icons.py

@@ -0,0 +1,95 @@
+"""Crop the source renders to the icon tile and export PNG sizes plus .ico files."""
+import numpy as np
+from PIL import Image
+
+ROOT = "D:/my_git/peoplelib/icons"
+SIZES = [1024, 512, 256, 128, 64, 48, 32, 16]
+ICO_SIZES = [256, 128, 64, 48, 32, 16]
+SS = 4
+
+SOURCES = [
+    ("light", f"{ROOT}/ChatGPT_0CjIH8EmAj.png"),
+    ("dark", f"{ROOT}/ChatGPT_RAga3pG7De.png"),
+]
+
+
+def tile_mask(rgb):
+    a = rgb.astype(int)
+    r, g, b = a[..., 0], a[..., 1], a[..., 2]
+    # Anything that is not the near-white page background belongs to the artwork.
+    return (a.sum(2) < 748) | (np.abs(r - b) > 4) | (np.abs(g - b) > 4)
+
+
+def tile_bbox(mask):
+    cols = mask.sum(0)
+    rows = mask.sum(1)
+    xs = np.where(cols > cols.max() * 0.35)[0]
+    ys = np.where(rows > rows.max() * 0.35)[0]
+    x0, x1, y0, y1 = xs.min(), xs.max(), ys.min(), ys.max()
+    # The renders carry a drop shadow below the tile, so trust the width and
+    # square the crop downward from the top edge.
+    side = x1 - x0 + 1
+    return x0, x1, y0, y0 + side - 1
+
+
+def corner_radius(mask, x0, x1, y0, y1):
+    ests = []
+    for d in range(10, int((y1 - y0) * 0.18)):
+        idx = np.where(mask[y0 + d, x0:x1 + 1])[0]
+        if not len(idx) or idx.min() <= 0:
+            continue
+        x = float(idx.min())
+        ests.append((d + x) + np.sqrt(2.0 * d * x))
+    return float(np.median(ests)) if ests else (x1 - x0) * 0.21
+
+
+def rounded_alpha(w, h, radius, size):
+    n = size * SS
+    ys, xs = np.mgrid[0:n, 0:n].astype(np.float64)
+    # Map supersampled pixel centres back onto the source tile grid.
+    px = (xs + 0.5) / n * w
+    py = (ys + 0.5) / n * h
+    r = radius
+    dx = np.clip(r - px, 0, None) + np.clip(px - (w - r), 0, None)
+    dy = np.clip(r - py, 0, None) + np.clip(py - (h - r), 0, None)
+    inside = (dx * dx + dy * dy) <= r * r
+    cov = inside.reshape(size, SS, size, SS).mean((1, 3))
+    return (cov * 255).round().astype(np.uint8)
+
+
+def build(name, path):
+    src = Image.open(path).convert("RGB")
+    mask = tile_mask(np.asarray(src))
+    x0, x1, y0, y1 = tile_bbox(mask)
+    radius = corner_radius(mask, x0, x1, y0, y1)
+    tile = src.crop((x0, y0, x1 + 1, y1 + 1))
+    w, h = tile.size
+    print(f"{name}: tile {w}x{h} radius {radius:.1f}")
+
+    outdir = f"{ROOT}/dist/{name}"
+    import os
+    os.makedirs(outdir, exist_ok=True)
+
+    frames = {}
+    for size in SIZES:
+        img = tile.resize((size, size), Image.LANCZOS).convert("RGBA")
+        img.putalpha(Image.fromarray(rounded_alpha(w, h, radius, size), "L"))
+        img.save(f"{outdir}/icon-{size}.png", optimize=True)
+        frames[size] = img
+
+    frames[1024].save(f"{ROOT}/dist/book-ai-{name}.ico", format="ICO",
+                      sizes=[(s, s) for s in ICO_SIZES])
+    return frames[512]
+
+
+def main():
+    previews = [build(n, p) for n, p in SOURCES]
+    gap = 32
+    sheet = Image.new("RGBA", (512 * 2 + gap * 3, 512 + gap * 2), (128, 128, 128, 255))
+    for i, img in enumerate(previews):
+        sheet.paste(img, (gap + i * (512 + gap), gap), img)
+    sheet.save(f"{ROOT}/dist/preview.png")
+
+
+if __name__ == "__main__":
+    main()