import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import FancyBboxPatch, Rectangle
from matplotlib.colors import LinearSegmentedColormap

# Color scheme
green = '#8DC58D'
yellow = '#FBBC78'
red = '#F77F7F'
gray = '#DDDDDD'
light_blue = '#D9E8F5'
light_gray = '#F5F5F5'

SEGMENT_HEIGHT = 0.1
Y_MARKER = 0.6 * SEGMENT_HEIGHT
Y_LABEL = 0.2 * SEGMENT_HEIGHT

# Data
categories = ["pH", 
              "Berat Jenis Urin (Urine Specific Gravity)"]
values = [8.0, 1.010]
ranges = [(0, 14, [4.8, 7.4]), (1.005, 1.030, [1.015, 1.025])]
colors = [[yellow, green, red],  # pH
          [yellow, green, red]]  # Urin]

fig, axes = plt.subplots(len(categories), 1, figsize=(12, 2.6))

for i, ax in enumerate(axes):
    min_val, max_val, thresholds = ranges[i]
    value = values[i]
    
    # Create segments
    # y_gap = 0.01  # {{ Removed y_gap definition }}
    ax.set_ylim(0, 0.1)  # {{ Updated y-axis limits to remove y_gap }}
    all_points = [min_val] + thresholds + [max_val]
    for j in range(len(all_points)-1):
        start = all_points[j]
        end = all_points[j+1]
        segment_width = end - start

        rect = Rectangle((start, 0), segment_width, SEGMENT_HEIGHT,  # {{ Updated y-coordinate and height to remove y_gap }}
                        facecolor=colors[i][j % len(colors[i])], linewidth=0)
        ax.add_patch(rect)
    
    # Plot value marker
    ax.scatter([value], [Y_MARKER], color="white", marker="o", s=100, zorder=3, edgecolor='gray')
    ax.text(value, Y_LABEL, f"{value:.1f}", ha="center", fontsize=10, color="black", weight="bold", 
            fontfamily='monospace')
    
    # Axis formatting - properly align ticks with segment boundaries
    ax.set_xlim(min_val, max_val)
    ax.set_yticks([])
    ax.set_xticks(all_points)  # Set ticks at exact boundary points
    ax.set_title(categories[i], fontsize=12, weight="bold", fontfamily='monospace')
    ax.spines['top'].set_visible(False)
    ax.spines['right'].set_visible(False)
    ax.spines['left'].set_visible(False)

filename = '2_urinalis.png' 

plt.tight_layout()
plt.savefig(filename, dpi=300, bbox_inches='tight')
print(f"Image saved as {filename}")