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+#!/usr/bin/env python3
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+# -*- coding: utf-8 -*-
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+"""
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+生成布里斯托大便分类法（Bristol Stool Scale）类型 1-7 示意图。
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+输出：cfc-frontend/static/health/bristol/bristol-{1..7}.png（200x200 透明底 PNG）
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+
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+用法：python3 scripts/gen-bristol-stool-images.py
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+依赖：Pillow
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+
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+风格：暖棕配色（#8C6444 主体 / #684830 描边），与问卷暖色主题一致；
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+4 倍超采样后 LANCZOS 缩放，保证小程序端边缘平滑。
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+"""
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+import math
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+import os
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+import random
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+
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+from PIL import Image, ImageDraw
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+
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+OUT_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "static", "health", "bristol")
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+SUPER = 4 # 超采样倍数
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+SIZE = 200 # 最终尺寸
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+S = SIZE * SUPER # 绘制画布尺寸
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+
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+BODY = (140, 100, 68, 255) # 主体
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+BODY_LIGHT = (176, 136, 100, 255) # 高光
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+EDGE = (104, 72, 48, 255) # 描边
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+CRACK = (94, 66, 44, 255) # 裂痕
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+
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+random.seed(20261018)
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+
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+
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+def new_canvas():
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+ img = Image.new("RGBA", (S, S), (0, 0, 0, 0))
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+ return img, ImageDraw.Draw(img)
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+
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+
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+def outlined_ellipse(draw, cx, cy, rx, ry, outline=5):
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+ """带描边的椭圆"""
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+ draw.ellipse([cx - rx - outline, cy - ry - outline, cx + rx + outline, cy + ry + outline], fill=EDGE)
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+ draw.ellipse([cx - rx, cy - ry, cx + rx, cy + ry], fill=BODY)
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+
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+
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+def outlined_chain(draw, pts, r, outline=5):
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+ """圆形链：先画描边层再画主体层，内部不出现多余描边"""
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+ for (x, y) in pts:
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+ draw.ellipse([x - r - outline, y - r - outline, x + r + outline, y + r + outline], fill=EDGE)
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+ for (x, y) in pts:
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+ draw.ellipse([x - r, y - r, x + r, y + r], fill=BODY)
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+
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+
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+def outlined_polygon(draw, pts, outline=5):
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+ """多边形：等比放大后作描边层"""
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+ cx = sum(p[0] for p in pts) / len(pts)
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+ cy = sum(p[1] for p in pts) / len(pts)
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+ scale = 1.0 + outline / 60.0
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+ big = [(cx + (x - cx) * scale, cy + (y - cy) * scale) for (x, y) in pts]
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+ draw.polygon(big, fill=EDGE)
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+ draw.polygon(pts, fill=BODY)
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+
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+
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+def ragged_pts(cx, cy, rx, ry, n=48, noise=0.10):
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+ """不规则（毛边）轮廓点集"""
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+ pts = []
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+ for i in range(n):
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+ a = 2 * math.pi * i / n
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+ k = 1 + noise * math.sin(a * 3.1) + noise * 0.7 * math.sin(a * 7.7)
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+ pts.append((cx + rx * k * math.cos(a), cy + ry * k * math.sin(a)))
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+ return pts
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+
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+
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+def curve(p0, p1, p2, steps=40):
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+ """二次贝塞尔采样，用于平滑弯曲的肠状轮廓"""
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+ out = []
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+ for i in range(steps + 1):
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+ t = i / steps
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+ x = (1 - t) ** 2 * p0[0] + 2 * (1 - t) * t * p1[0] + t ** 2 * p2[0]
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+ y = (1 - t) ** 2 * p0[1] + 2 * (1 - t) * t * p1[1] + t ** 2 * p2[1]
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+ out.append((x, y))
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+ return out
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+
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+
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+def highlight(draw, cx, cy, rx, ry):
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+ """柔和高光（半透明，模拟体积）"""
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+ layer = Image.new("RGBA", (S, S), (0, 0, 0, 0))
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+ ld = ImageDraw.Draw(layer)
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+ ld.ellipse([cx - rx, cy - ry, cx + rx, cy + ry], fill=(255, 245, 235, 70))
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+ return Image.alpha_composite(draw._image, layer)
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+
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+
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+def save(img, n):
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+ out = os.path.join(OUT_DIR, "bristol-%d.png" % n)
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+ img.resize((SIZE, SIZE), Image.LANCZOS).save(out, "PNG", optimize=True)
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+ print("已生成", os.path.relpath(out), os.path.getsize(out), "bytes")
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+
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+
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+# ---- Type 1：一粒粒硬球（很难排出） ----
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+def type1():
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+ img, d = new_canvas()
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+ for (cx, cy, r) in [(300, 300, 88), (500, 268, 76), (338, 512, 72), (536, 500, 80)]:
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+ outlined_ellipse(d, cx, cy, r, r * 0.94)
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+ return img
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+
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+
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+# ---- Type 2：香肠状，表面凹凸（由小块拼成） ----
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+def type2():
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+ img, d = new_canvas()
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+ pts = []
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+ radii = [46, 62, 52, 68, 50, 66, 54, 70, 48, 60, 42]
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+ for i, r in enumerate(radii):
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+ t = i / float(len(radii) - 1)
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+ x = 110 + t * 580
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+ y = 400 + 34 * math.sin(t * math.pi * 1.5) + (16 if i % 2 else -14)
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+ pts.append((x, y, r))
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+ for (x, y, r) in pts:
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+ d.ellipse([x - r - 5, y - r - 5, x + r + 5, y + r + 5], fill=EDGE)
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+ for (x, y, r) in pts:
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+ d.ellipse([x - r, y - r, x + r, y + r], fill=BODY)
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+ return img
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+
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+
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+# ---- Type 3：香肠状，表面有裂痕（正常偏干） ----
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+def type3():
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+ img, d = new_canvas()
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+ path = curve((130, 430), (400, 300), (670, 410))
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+ outlined_chain(d, [(x, y) for (x, y) in path], 78)
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+ # 沿肠体分布的不规则裂痕（垂直于走向，略带角度）
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+ for t, ang, length in ((0.22, -16, 118), (0.38, 12, 132), (0.56, -10, 108), (0.72, 18, 124), (0.88, -8, 96)):
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+ i = int(t * (len(path) - 1))
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+ x, y = path[i]
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+ i2 = min(len(path) - 1, i + 1)
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+ dx = path[i2][0] - x
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+ dy = path[i2][1] - y
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+ base = math.atan2(dy, dx) + math.pi / 2 + math.radians(ang)
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+ hx = math.cos(base) * length / 2.0
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+ hy = math.sin(base) * length / 2.0
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+ d.line([x - hx, y - hy, x + hx, y + hy], fill=CRACK, width=9)
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+ d.ellipse([x - hx - 4, y - hy - 4, x - hx + 4, y - hy + 4], fill=CRACK)
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+ d.ellipse([x + hx - 4, y + hy - 4, x + hx + 4, y + hy + 4], fill=CRACK)
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+ return img
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+
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+
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+# ---- Type 4：光滑柔软（理想：像香肠或蛇） ----
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+def type4():
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+ img, d = new_canvas()
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+ path = curve((120, 470), (400, 250), (690, 430), steps=60)
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+ outlined_chain(d, path, 74)
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+ # 背部高光带
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+ for i in range(6, len(path) - 6, 3):
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+ x, y = path[i]
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+ d.ellipse([x - 26, y - 44, x + 26, y - 16], fill=BODY_LIGHT)
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+ return img
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+
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+
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+# ---- Type 5：软块状，边缘清晰（缺乏纤维） ----
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+def type5():
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+ img, d = new_canvas()
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+ for (cx, cy, rx, ry) in [(268, 300, 86, 72), (512, 288, 78, 68),
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+ (240, 520, 74, 66), (470, 528, 92, 74), (660, 420, 66, 60)]:
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+ outlined_ellipse(d, cx, cy, rx, ry)
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+ return img
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+
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+
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+# ---- Type 6：糊状，边缘不清（蓬松） ----
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+def type6():
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+ img, d = new_canvas()
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+ for (cx, cy, rx, ry) in [(300, 320, 130, 100), (560, 300, 110, 88),
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+ (330, 540, 118, 92), (590, 540, 126, 96)]:
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+ outlined_polygon(d, ragged_pts(cx, cy, rx, ry, noise=0.14))
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+ return img
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+
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+
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+# ---- Type 7：水样，无固形物（腹泻） ----
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+def type7():
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+ img, d = new_canvas()
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+ puddle = ragged_pts(400, 430, 290, 132, n=72, noise=0.09)
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+ outlined_polygon(d, puddle)
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+ outlined_ellipse(d, 250, 190, 46, 38)
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+ outlined_ellipse(d, 566, 168, 34, 28)
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+ return img
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+
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+
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+def main():
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+ os.makedirs(OUT_DIR, exist_ok=True)
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+ for n, fn in enumerate([type1, type2, type3, type4, type5, type6, type7], start=1):
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+ save(fn(), n)
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+
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+
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+if __name__ == "__main__":
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+ main()
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Sisyphus
