import matplotlib.pyplot as plt
import matplotlib.patheffects as path_effects
import matplotlib.ticker as ticker

# ==========================================
# 0. HELPER FUNCTION
# ==========================================
def format_val(x, pos=None):
    """Formats numbers to k/M format for axes and labels"""
    if x >= 1_000_000:
        return f"{x/1_000_000:.1f}".replace('.0', '') + 'M'
    elif x >= 1000:
        return f"{x/1000:.1f}".replace('.0', '') + 'k'
    return str(int(x))

# ==========================================
# 1. EDIT YOUR DATA HERE
# ==========================================
# Define primary labels and subtext descriptions
labels_main = ['Bitboard Tetris', 'TET-CPU']
subtexts = ['AMD R7-7735H', '50Mhz']

# Combine them with newline characters
labels = [f"{main}\n{sub}" for main, sub in zip(labels_main, subtexts)]

values = [41700, 909000]  # e.g., Speed, FPS, Transactions per second (Higher is better)

# Define your unit here (add a space at the start so it looks clean)
unit_label = "Moves per Second [Moves/sec]"  

brand_color = '#00E5FF'
competitor_color = '#888888'

multiplier = values[1] / values[0]
max_val = max(values)
black_outline = [path_effects.withStroke(linewidth=3, foreground='black')]

# ==========================================
# 2. SETUP FIGURE
# ==========================================
fig, ax = plt.subplots(figsize=(10, 4.5))
fig.patch.set_alpha(0.0)
ax.patch.set_alpha(0.0)

bars = ax.barh(labels, values, color=[competitor_color, brand_color], height=0.45, zorder=3)

# ==========================================
# 3. CONFIGURE AXES
# ==========================================
# X-Axis Tick Formatting
ax.xaxis.set_major_formatter(ticker.FuncFormatter(format_val))

for spine in ax.spines.values():
    spine.set_visible(False)
ax.spines['bottom'].set_visible(True)
ax.spines['bottom'].set_color('white')
ax.spines['bottom'].set_path_effects(black_outline)

# Set base size for x-axis ticks
ax.tick_params(axis='x', colors='white', labelsize=12)

# Set larger font size specifically for Y-axis labels (Option 1)
ax.tick_params(axis='y', colors='white', labelsize=18) 

for label in ax.get_xticklabels() + ax.get_yticklabels():
    label.set_path_effects(black_outline)

ax.xaxis.grid(True, linestyle='--', color='white', alpha=0.3, zorder=0)

xlabel = ax.set_xlabel(unit_label, color='white', fontsize=12, labelpad=12, fontfamily='monospace')
xlabel.set_path_effects(black_outline)

# ==========================================
# 4. ADD BAR LABELS & BRACKET
# ==========================================
for bar, val in zip(bars, values):
    width = bar.get_width()
    txt = ax.text(width - (max_val * 0.02) if width >= (max_val*0.15) else width + (max_val*0.02), 
                  bar.get_y() + bar.get_height()/2, 
                  format_val(val), 
                  ha='right' if width >= (max_val*0.15) else 'left', 
                  va='center', color='white', fontsize=14, fontweight='bold')
    txt.set_path_effects(black_outline)

# Draw Bracket
y0, y1 = [b.get_y() + b.get_height()/2 for b in bars]
x_line, x_tick = max_val * 1.05, max_val * 1.02
for x, y in zip([x_tick, x_tick, x_line], [y1, y0, [y0, y1]]):
    l, = ax.plot([x_tick, x_line] if isinstance(y, (float, int)) else [x_line, x_line], 
                 [y, y] if isinstance(y, (float, int)) else y, color=brand_color, lw=2)
    l.set_path_effects(black_outline)

multiplier_txt = ax.text(x_line + (max_val * 0.03), (y0+y1)/2, f'{multiplier:.1f}x\nFASTER', 
                         ha='left', va='center', color=brand_color, fontsize=22, fontweight='heavy')
multiplier_txt.set_path_effects(black_outline)

# Set x-axis limit to end around 1.1M
ax.set_xlim(0, 1_100_000)

plt.tight_layout()
plt.subplots_adjust(bottom=0.2) 

plt.savefig('final_graph.png', dpi=300, bbox_inches='tight', transparent=True)
plt.show()