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

# dataset
labels = [
    'ADE847', 'Context459', 'ADE150', 'Context59', 'VOC20', 'VOC21',
    'OV-COCO', 'OV-LVIS', 'Obj365', 'COCO',
    'Context60', 'COCO-Obj', 'CityScape', 'Context59', 'ADE', 'COCO-Stf'
]

declip = [40, 40, 40, 40, 40, 40,
          40, 40, 40, 40,
          40, 40, 40, 40, 40, 40] # scale value 

# Data has been desensitized here; you can fill in your own data.
declip_value = [20, 20, 20, 20, 20, 20,
                20, 20, 20, 20, 
                20, 20, 20, 20, 20, 20]

catseg_value = [10, 10, 10, 10, 10, 10,
                0, 0, 0, 0,
                0, 0, 0, 0, 0, 0]

clipself_value = [0, 0, 0, 0, 0, 0,
                    10, 10, 10,10,
                    0, 0, 0, 0, 0, 0]

clearclip_value = [0, 0, 0, 0,
                    0, 0, 0, 0, 0, 0,
                    10, 10, 10, 10, 10, 10]

def calc_ratio(base, num, den):
    return [base[i] * (num[i] / den[i]) if den[i] != 0 else 0 for i in range(len(base))]

catseg = calc_ratio(declip, catseg_value, declip_value)
clipself = calc_ratio(declip, clipself_value, declip_value)
clearclip = calc_ratio(declip, clearclip_value, declip_value)

# Set non-uniform angles
# The first group occupies 90 degrees
group1_angles = np.linspace(0, np.deg2rad(90), 6).tolist()  # 0-90 degrees
gap1 = np.deg2rad(50)  # 50 degree gap

# The second group occupies 60 degrees
group2_angles = np.linspace(np.deg2rad(90) + gap1, np.deg2rad(90) + gap1 + np.deg2rad(60), 4).tolist()  # 140-200 degrees
gap2 = np.deg2rad(50)  # 50 degree gap

# The third group occupies 90 degrees
group3_angles = np.linspace(np.deg2rad(90) + gap1 + np.deg2rad(60) + gap2, np.deg2rad(90) + gap1 + np.deg2rad(60) + gap2 + np.deg2rad(90), 6).tolist()  # 250-340 degrees

# The last 20 degrees gap with the first group
angles = group1_angles + group2_angles + group3_angles
angles += angles[:1]  # Close the curve

# Data supplement, connect the first and last
declip = np.concatenate((declip, [declip[0]]))
catseg = np.concatenate((catseg, [catseg[0]]))
clipself = np.concatenate((clipself, [clipself[0]]))
clearclip = np.concatenate((clearclip, [clearclip[0]]))

# Create figure, adjust figsize
fig, ax = plt.subplots(figsize=(8, 8), subplot_kw=dict(polar=True))

# Set the range of the radar chart (r-axis), max value is 50
ax.set_ylim(0, 40.5)

# Control the number and position of radial rings
ax.set_yticks([10, 20, 30, 40])  # Manually set the values of the radial rings

# Draw the area for each data group, increase transparency
ax.fill(angles, declip, color='#3dab5a', alpha=0.15, label='DECLIP', zorder=1)
ax.fill(angles, catseg, color='#ad4fa0', alpha=0.2, label='Previous SOTA CATSeg', zorder=1)
ax.fill(angles, clipself, color='#2b83bc', alpha=0.2, label='Previous SOTA CLIPSelf', zorder=1)
ax.fill(angles, clearclip, color='#db3939', alpha=0.2, label='Previous SOTA ClearCLIP', zorder=1)

# Draw border lines
ax.plot(angles, declip, color='#52b36a', linewidth=1.5, linestyle='solid', zorder=2)
ax.plot(angles, catseg, color='#ad4fa0', linewidth=1.5, linestyle='solid', zorder=2)
ax.plot(angles, clipself, color='#2b83bc', linewidth=1.5, linestyle='solid', zorder=2)
ax.plot(angles, clearclip, color='#db3939', linewidth=1.5, linestyle='solid', zorder=2)

# Draw data points
ax.scatter(angles, declip, facecolors='white', edgecolors='#3dab5a', s=35, zorder=3, linewidth=1.5, alpha=0.9)
ax.scatter(angles, catseg, facecolors='white', edgecolors='#ad4fa0', s=35, zorder=3, linewidth=1.5, alpha=0.9)
ax.scatter(angles, clipself, facecolors='white', edgecolors='#2b83bc', s=35, zorder=3, linewidth=1.5, alpha=0.9)
ax.scatter(angles, clearclip, facecolors='white', edgecolors='#db3939', s=35, zorder=3, linewidth=1.5, alpha=0.9)

# Set labels
ax.set_xticks(angles[:-1])
ax.set_xticklabels([])  # Do not show label text

# Hide radial labels
ax.set_yticklabels([])

# Adjust reference lines to solid and reduce width
ax.spines['polar'].set_visible(False)
ax.grid(True, linestyle='-', linewidth=0.5)

# Annotate each data point with its corresponding value, handle different group positions separately
for index, (angle, position, value) in enumerate(zip(angles, declip, declip_value)):
    if value > 0:
        if index < 6:
            ax.text(angle, position + 1, f'{value:.1f}', color='#0b9444', fontsize=12,
                    ha='left', va='center')
        elif index >= 6 and index < 10:
            ax.text(angle, position + 0.5, f'{value:.1f}', color='#0b9444', fontsize=12,
                    ha='right', va='bottom')
        else:
            ax.text(angle, position + 1.5, f'{value:.1f}', color='#0b9444', fontsize=12,
                    ha='left', va='top')

for angle, position, value in zip(angles, catseg, catseg_value):
    if value > 0:
        ax.text(angle, position - 1, f'{value}', color='#92278f', fontsize=12,
                ha='right', va='top')  # catseg

for angle, position, value in zip(angles, clipself, clipself_value):
    if value > 0:
        ax.text(angle, position - 1, f'{value}', color='#213f9a', fontsize=12,
                ha='left', va='top')  # clipself

for angle, position, value in zip(angles, clearclip, clearclip_value):
    if value > 0:
        ax.text(angle, position - 1.0, f'{value}', color='#bf1e2d', fontsize=12,
                ha='right', va='bottom')  # clearclip

# Add legend
legend_elements = [
    Patch(facecolor='#3dab5a', edgecolor='#3dab5a', label='DeCLIP'),
    Patch(facecolor='#ad4fa0', edgecolor='#ad4fa0', label='Previous SOTA CATSeg'),
    Patch(facecolor='#2b83bc', edgecolor='#2b83bc', label='Previous SOTA CLIPSelf'),
    Patch(facecolor='#db3939', edgecolor='#db3939', label='Previous SOTA ClearCLIP'),

]
ax.legend(handles=legend_elements,
          frameon=False,
          fontsize='large',
          loc='center',
          bbox_to_anchor=(0.26, 0.99))

# Set x-axis label background to opaque
for label in ax.get_xticklabels():
    label.set_bbox(dict(facecolor='white', edgecolor='none', alpha=1.0))

# Adjust figure layout, increase margin
plt.tight_layout()

# Save image
plt.savefig('radar_chart.png', dpi=400, bbox_inches='tight', transparent=True)

# Show image
plt.close()