"""用用户给的 13 条参考公式验证识别/预处理/渲染覆盖率。"""
import io
import os
import sys

sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))

from PIL import Image  # noqa: E402

from app.services import formula  # noqa: E402

SAMPLES = [
    ("1 欧拉恒等式", r"\[e^{i\pi} + 1 = 0\]"),
    ("2 高斯积分", r"\[\int_{-\infty}^{\infty} e^{-x^2}\,dx = \sqrt{\pi}\]"),
    ("3 巴塞尔问题", r"\[\sum_{n=1}^{\infty} \frac{1}{n^2} = \frac{\pi^2}{6}\]"),
    ("4 傅里叶变换", r"\[\hat{f}(\xi) = \int_{-\infty}^{\infty} f(x) e^{-2\pi i x \xi}\,dx\]"),
    ("5 质能方程", r"\[E = mc^2\]"),
    ("6 万有引力", r"\[F = G \frac{m_1 m_2}{r^2}\]"),
    ("7 薛定谔方程", "\\[i\\hbar \\frac{\\partial}{\\partial t}\\Psi(\\mathbf{r},t)\n"
                  "= -\\frac{\\hbar^2}{2m}\\nabla^2 \\Psi(\\mathbf{r},t)\n"
                  "+ V(\\mathbf{r},t)\\Psi(\\mathbf{r},t)\\]"),
    ("8 麦克斯韦方程组", "\\[\\begin{aligned}\n\\nabla \\cdot \\mathbf{E} &= \\frac{\\rho}{\\varepsilon_0}, &\n"
                    "\\nabla \\cdot \\mathbf{B} &= 0, \\\\\n\\nabla \\times \\mathbf{E} &= -\\frac{\\partial \\mathbf{B}}{\\partial t}, &\n"
                    "\\nabla \\times \\mathbf{B} &= \\mu_0 \\mathbf{J}\n+ \\mu_0 \\varepsilon_0 \\frac{\\partial \\mathbf{E}}{\\partial t}.\n\\end{aligned}\\]"),
    ("9 热力学第一定律", r"\[\Delta U = Q - W\]"),
    ("10 氢气燃烧", r"\[\ce{2H2 + O2 -> 2H2O}\]"),
    ("11 合成氨", r"\[\ce{N2(g) + 3H2(g) <=> 2NH3(g)} \qquad \Delta H < 0\]"),
    ("12 平衡常数", r"\[K_c = \frac{[\ce{NH3}]^2}{[\ce{N2}][\ce{H2}]^3}\]"),
    ("13 理想气体", r"\[PV = nRT\]"),
]

# 端上识别（JS）会先把分隔符剥掉，这里模拟同样的输入
def strip_delim(s):
    t = s.strip()
    for a, b in (("\\[", "\\]"), ("$$", "$$"), ("\\(", "\\)")):
        if t.startswith(a) and t.endswith(b):
            return t[len(a):len(t) - len(b)].strip()
    return t


ok = bad = 0
for name, raw in SAMPLES:
    body = strip_delim(raw)
    lines = formula.normalize_latex(body)
    info = formula.render(body, fs=16)
    if info:
        ok += 1
        img = Image.open(io.BytesIO(info["png"]))
        print("[OK  ] %-16s %d 行 png=%dx%d design=%sx%s %5dB %s" % (
            name, len(lines or []), img.size[0], img.size[1],
            info["w"], info["h"], info["bytes"], img.mode))
        with open(os.path.join(os.path.dirname(os.path.abspath(__file__)), "_ref_%s.png" % name.split()[0]), "wb") as fp:
            fp.write(info["png"])
    else:
        bad += 1
        print("[FAIL] %-16s %s" % (name, "normalize 返回 None" if not lines else "渲染失败"))

print("\n合计 %d 条：成功 %d / 失败 %d" % (len(SAMPLES), ok, bad))