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| #!/usr/bin/env python3
"""DSH Web app icon: official DeepSeek Harness whale (from favicon.svg)
on a deep-blue gradient rounded square. 4x supersampled; self-checks at end."""
from PIL import Image, ImageDraw, ImageFilter
import os, re, subprocess, sys
OUT = os.path.dirname(os.path.abspath(__file__))
S = 4096 # supersample canvas
R = 1024 # final master
def lerp(a, b, t):
return tuple(int(a[i] + (b[i] - a[i]) * t) for i in range(3))
# ---------- minimal SVG path parser (official favicon uses M/C only) ----------
def parse_svg_path(d):
tokens = re.findall(r'([MmLlCcQqZzHhVvSsTtAa])|(-?\d*\.?\d+(?:e-?\d+)?)', d)
tokens = [t[0] or float(t[1]) for t in tokens]
i = 0
def num():
nonlocal i
v = float(tokens[i]); i += 1
return v
def cubic(p0, p1, p2, p3, n=40):
return [( (1-t)**3*p0[0]+3*(1-t)**2*t*p1[0]+3*(1-t)*t*t*p2[0]+t**3*p3[0],
(1-t)**3*p0[1]+3*(1-t)**2*t*p1[1]+3*(1-t)*t*t*p2[1]+t**3*p3[1] )
for t in (k/n for k in range(1, n+1))]
def quad(p0, p1, p2, n=30):
return [( (1-t)**2*p0[0]+2*(1-t)*t*p1[0]+t*t*p2[0],
(1-t)**2*p0[1]+2*(1-t)*t*p1[1]+t*t*p2[1] )
for t in (k/n for k in range(1, n+1))]
subpaths, cur = [], []
pos = start = (0, 0); last_c = None; last_letter = 'M'
while i < len(tokens):
if isinstance(tokens[i], str):
c = tokens[i]; i += 1
if c in 'Zz':
if cur and cur[-1] != start: cur.append(start)
if cur: subpaths.append(cur)
cur = []; pos = start; last_c = None
continue
else:
c = last_letter # implicit repeat (M -> L)
rel = c.islower(); C = c.upper()
last_letter = 'L' if C == 'M' else C
if C == 'M':
x, y = num(), num()
pos = (pos[0]+x, pos[1]+y) if rel else (x, y)
if cur: subpaths.append(cur)
cur = [pos]; start = pos; last_c = None
elif C == 'L':
x, y = num(), num()
pos = (pos[0]+x, pos[1]+y) if rel else (x, y)
cur.append(pos); last_c = None
elif C == 'H':
x = num(); pos = ((pos[0]+x) if rel else x, pos[1]); cur.append(pos); last_c = None
elif C == 'V':
y = num(); pos = (pos[0], (pos[1]+y) if rel else y); cur.append(pos); last_c = None
elif C == 'C':
x1, y1, x2, y2, x, y = num(), num(), num(), num(), num(), num()
p1 = (pos[0]+x1, pos[1]+y1) if rel else (x1, y1)
p2 = (pos[0]+x2, pos[1]+y2) if rel else (x2, y2)
p3 = (pos[0]+x, pos[1]+y) if rel else (x, y)
cur += cubic(pos, p1, p2, p3); pos = p3; last_c = p2
elif C == 'S':
x2, y2, x, y = num(), num(), num(), num()
p1 = (2*pos[0]-last_c[0], 2*pos[1]-last_c[1]) if last_c else pos
p2 = (pos[0]+x2, pos[1]+y2) if rel else (x2, y2)
p3 = (pos[0]+x, pos[1]+y) if rel else (x, y)
cur += cubic(pos, p1, p2, p3); pos = p3; last_c = p2
elif C == 'Q':
x1, y1, x, y = num(), num(), num(), num()
p1 = (pos[0]+x1, pos[1]+y1) if rel else (x1, y1)
p2 = (pos[0]+x, pos[1]+y) if rel else (x, y)
cur += quad(pos, p1, p2); pos = p2; last_c = None
else:
raise ValueError("unhandled command " + c)
if cur: subpaths.append(cur)
return subpaths
def build_official_whale(canvas, span=0.62):
"""Render the official DSH whale (favicon.svg) white, centered, spanning `span` of canvas."""
src = open(os.path.join(OUT, "favicon.svg")).read()
d = re.search(r'\bd="([^"]+)"', src).group(1)
subpaths = parse_svg_path(d)
xs = [p[0] for sp in subpaths for p in sp]
ys = [p[1] for sp in subpaths for p in sp]
bw, bh = max(xs) - min(xs), max(ys) - min(ys)
scale = canvas * span / max(bw, bh)
ox = canvas / 2 - (min(xs) + max(xs)) / 2 * scale
oy = canvas / 2 - (min(ys) + max(ys)) / 2 * scale - canvas * 0.015
mask = Image.new("L", (canvas, canvas), 0)
dr = ImageDraw.Draw(mask)
for sp in subpaths:
dr.polygon([(p[0]*scale + ox, p[1]*scale + oy) for p in sp], fill=255)
# white -> ice-blue vertical gradient inside the whale mask
g1 = Image.new("RGBA", (1, canvas))
for y in range(canvas):
g1.putpixel((0, y), lerp((255, 255, 255), (190, 224, 255), y / canvas) + (255,))
grad = g1.resize((canvas, canvas))
return Image.composite(grad, Image.new("RGBA", (canvas, canvas), (0, 0, 0, 0)), mask)
def main():
# background: diagonal navy -> blue -> teal
bg = Image.new("RGBA", (R, R))
px = bg.load()
c1, c2, c3 = (7, 14, 40), (18, 56, 124), (9, 118, 168)
for y in range(R):
for x in range(R):
t = (x + y) / (2 * R)
c = lerp(c1, c2, t * 2) if t < 0.5 else lerp(c2, c3, (t - 0.5) * 2)
px[x, y] = c + (255,)
# rounded-rect mask
mask = Image.new("L", (R, R), 0)
ImageDraw.Draw(mask).rounded_rectangle([0, 0, R - 1, R - 1], radius=int(R * 0.2237), fill=255)
bg.putalpha(mask)
# whale: 4x supersample -> glow -> composite
whale_small = build_official_whale(S).resize((R, R), Image.LANCZOS)
glow = Image.new("RGBA", (S, S), (0, 0, 0, 0))
ImageDraw.Draw(glow).ellipse([S*0.15, S*0.20, S*0.85, S*0.85], fill=(70, 190, 255, 150))
glow = glow.filter(ImageFilter.GaussianBlur(S * 0.09)).resize((R, R), Image.LANCZOS)
glow = Image.composite(glow, Image.new("RGBA", (R, R), (0, 0, 0, 0)), whale_small.split()[3])
bg = Image.alpha_composite(bg, glow)
bg = Image.alpha_composite(bg, whale_small)
bg.save(os.path.join(OUT, "icon_1024.png"))
# ---- Windows .ico ----
bg.save(os.path.join(OUT, "AppIcon.ico"),
sizes=[(16, 16), (32, 32), (48, 48), (64, 64), (128, 128), (256, 256)])
# ---- macOS .icns（仅 macOS 有 iconutil）----
if sys.platform == "darwin":
iconset = os.path.join(OUT, "AppIcon.iconset")
os.makedirs(iconset, exist_ok=True)
for name, size in {"icon_16x16.png": 16, "icon_16x16@2x.png": 32, "icon_32x32.png": 32,
"icon_32x32@2x.png": 64, "icon_128x128.png": 128, "icon_128x128@2x.png": 256,
"icon_256x256.png": 256, "icon_256x256@2x.png": 512, "icon_512x512.png": 512,
"icon_512x512@2x.png": 1024}.items():
bg.resize((size, size), Image.LANCZOS).save(os.path.join(iconset, name))
subprocess.run(["iconutil", "-c", "icns", iconset, "-o",
os.path.join(OUT, "AppIcon.icns")], check=True)
# self-check
px = bg.load()
bright = [(x, y) for y in range(R) for x in range(R)
if px[x, y][3] > 200 and px[x, y][0] > 200 and px[x, y][1] > 200]
assert len(bright) > 30000, f"whale too small: {len(bright)} bright pixels"
xs = [p[0] for p in bright]; ys = [p[1] for p in bright]
print(f"bright pixels: {len(bright)} whale bbox: x[{min(xs)}..{max(xs)}] y[{min(ys)}..{max(ys)}]")
print("OK icon_1024.png + AppIcon.ico" + (" + AppIcon.icns" if sys.platform == "darwin" else ""))
if __name__ == "__main__":
main()
|
