import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Patch

# =========================
# 数据与预处理
# =========================
labels = [
    'MATH-500', 'AIME24', 'AIME25', 'GSM8K', 'AMC23', 'Olympiad',
    'MATH-500', 'AIME24', 'AIME25', 'GSM8K', 'AMC23', 'Olympiad',
    'MATH-500', 'AIME24', 'AIME25', 'GSM8K', 'AMC23', 'Olympiad',
    'MATH-500', 'AIME24', 'AIME25', 'GSM8K', 'AMC23', 'Olympiad',
]
# ! 原始版本
# baseline=[79.6, 23.3, 16.7, 76.0, 55.0, 32.6,
#           89.8, 40.0, 26.7, 89.2, 75.0, 46.9,
#           93.8, 66.7, 56.7, 95.1, 95.0, 60.6,
#           94.8, 66.7, 46.7, 96.3, 87.5, 66.7]

# ReBalance_value = [83.0, 36.7, 30.0, 78.3, 80.0, 43.9,
#                    92.6, 56.7, 40.0, 91.6, 95.0, 57.0,
#                    94.0, 73.3, 56.7, 96.3, 100.0, 66.3,
#                    95.2, 70.0, 63.3, 96.8, 95.0, 68.6]

# SEAL_value = [78.6, 23.3, 26.7, 76.4, 53.8, 32.7,
#               90.6, 43.3, 26.7, 88.4, 77.5, 53.9,
#               93.4, 63.3, 50.0, 95.7, 90.0, 62.3,
#               92.6, 63.3, 56.7, 96.2, 95.0, 67.5]
# ! 为了对称，第一组和第四组调换位置 
#  94.8, 66.7, 46.7, 96.3, 87.5, 66.7
baseline=[94.8, 66.7, 46.7, 96.3, 87.5, 66.7,
          89.8, 40.0, 26.7, 89.2, 75.0, 46.9,
          93.8, 66.7, 56.7, 95.1, 95.0, 60.6,
          79.6, 23.3, 16.7, 76.0, 55.0, 32.6]

# 95.2, 70.0, 63.3, 96.8, 95.0, 68.6
ReBalance_value = [95.2, 70.0, 63.3, 96.8, 95.0, 68.6,
                   92.6, 56.7, 40.0, 91.6, 95.0, 57.0,
                   94.0, 73.3, 56.7, 96.3, 100.0, 66.3,
                   83.0, 36.7, 30.0, 78.3, 80.0, 43.9]

# 92.6, 63.3, 56.7, 96.2, 95.0, 67.5
SEAL_value = [92.6, 63.3, 56.7, 96.2, 95.0, 67.5,
              90.6, 43.3, 26.7, 88.4, 77.5, 53.9,
              93.4, 63.3, 50.0, 95.7, 90.0, 62.3,
             78.6, 23.3, 26.7, 76.4, 53.8, 32.7]

# =========================
# 归一化和增强对比度
# =========================
def normalize_values(target, base_values, method_values):
    normalized = []
    for base, value in zip(base_values, method_values):
        if base == 0 or value == 0:
            normalized.append(0)
        else:
            normalized.append((value / base) * target)
    return normalized

def enhance_contrast(values, power=2.0, target_max=40):
    arr = np.array(values, dtype=float)
    arr_scaled = arr ** power
    return (arr_scaled / arr_scaled.max()) * target_max

target = 40
Baseline = normalize_values(target, ReBalance_value, baseline)
ReBalance = normalize_values(target, ReBalance_value, ReBalance_value)
SEAL = normalize_values(target, ReBalance_value, SEAL_value)

Baseline = enhance_contrast(Baseline, power=2.0, target_max=target)
ReBalance = enhance_contrast(ReBalance, power=2.0, target_max=target)
SEAL = enhance_contrast(SEAL, power=2.0, target_max=target)

# =========================
# 设置角度
# =========================
num_groups = 4
tasks_per_group = 6
gap_deg = 16
group_arc = (360 - num_groups * gap_deg) / num_groups
point_arc = group_arc / tasks_per_group

angles = []
current_angle = 0
for g in range(num_groups):
    for t in range(tasks_per_group):
        angles.append(np.deg2rad(current_angle))
        current_angle += point_arc
    current_angle += gap_deg

# 首尾相连
angles += [angles[0]]
Baseline = np.concatenate((Baseline, [Baseline[0]]))
ReBalance = np.concatenate((ReBalance, [ReBalance[0]]))
SEAL = np.concatenate((SEAL, [SEAL[0]]))

# =========================
# 绘图 (CVPR/NIPS 风格)
# =========================
colors = {
    "Baseline": "#00B0FF",   # 亮青蓝
    "ReBalance": "#00E676",  # 荧光绿
    "SEAL": "#FFB300",       # 亮橙黄
}

markers = {
    "Baseline": "s",
    "ReBalance": "o",
    "SEAL": "D",
}

linestyles = {
    "Baseline": "--",
    "ReBalance": "-",
    "SEAL": "-.",
}

fig, ax = plt.subplots(figsize=(8, 8), subplot_kw=dict(polar=True))

# 半径=40的参考圆
theta = np.linspace(0, 2*np.pi, 500)
ax.plot(theta, np.full_like(theta, 40),
        color="black", linewidth=1.2, linestyle="-", zorder=0.5)

ax.set_ylim(0, 44)

# 背景与网格
ax.set_facecolor("white")
ax.grid(True, color="gray", linestyle="--", linewidth=0.6, alpha=0.6)
ax.spines["polar"].set_visible(False)
ax.set_yticks([])
ax.set_yticklabels([])

# 通用绘图函数
def plot_method(values, angles, label):
    ax.fill(angles, values, color=colors[label], alpha=0.1, zorder=1)
    ax.plot(angles, values, color=colors[label],
            linewidth=2.2, linestyle=linestyles[label],
            label=label, zorder=2)
    ax.scatter(angles, values,
               facecolors="white", edgecolors=colors[label],
               linewidths=1.5, marker=markers[label],
               s=55, zorder=3)

plot_method(Baseline, angles, "Baseline")
plot_method(ReBalance, angles, "ReBalance")
plot_method(SEAL, angles, "SEAL")

# 中心灰点
ax.scatter(0, 0, c="gray", edgecolors="black",
           s=120, zorder=5, linewidths=1.0)

# 标签
ax.set_xticks(angles[:-1])
ax.set_xticklabels(labels, fontsize=12, color="black")
for label in ax.get_xticklabels():
    label.set_horizontalalignment("center")

# 图例
legend_elements = [
    Patch(facecolor=colors["Baseline"], edgecolor=colors["Baseline"], label="Baseline"),
    Patch(facecolor=colors["SEAL"], edgecolor=colors["SEAL"], label="SEAL"),
    Patch(facecolor=colors["ReBalance"], edgecolor=colors["ReBalance"], label="ReBalance (Ours)"),

]
ax.legend(
    handles=legend_elements,
    frameon=False,
    fontsize=14,
    loc="upper center",
    bbox_to_anchor=(0.68, 1.21),
)

plt.tight_layout()
plt.savefig("radar_chart_cvpr_with_baseline.png", dpi=300, transparent=True)
plt.close()