feat(bokeh): implement rose-basic (#5598)

## Implementation: `rose-basic` - python/bokeh

Implements the **python/bokeh** version of `rose-basic`.

**File:** `plots/rose-basic/implementations/python/bokeh.py`

**Parent Issue:** #1003

---
:robot: *[impl-generate
workflow](https://github.com/MarkusNeusinger/anyplot/actions/runs/25151817338)*

---------

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Markus Neusinger <2921697+MarkusNeusinger@users.noreply.github.com>

Author: github-actions[bot]

plots/rose-basic/implementations/python/bokeh.py

@@ -1,52 +1,60 @@
-""" pyplots.ai
+""" anyplot.ai
 rose-basic: Basic Rose Chart
-Library: bokeh 3.8.1 | Python 3.13.11
-Quality: 92/100 | Created: 2025-12-23
+Library: bokeh 3.9.0 | Python 3.13.13
+Quality: 84/100 | Updated: 2026-04-30
 """
 
+import os
+import sys
+
+
+# Remove this script's directory from sys.path to prevent bokeh.py from
+# shadowing the installed bokeh package when Python adds the script dir.
+_script_dir = os.path.dirname(os.path.abspath(__file__))
+sys.path = [p for p in sys.path if os.path.abspath(p or ".") != _script_dir]
+
 import numpy as np
 from bokeh.io import export_png, output_file, save
 from bokeh.models import ColumnDataSource
 from bokeh.plotting import figure
 
 
+# Theme tokens
+THEME = os.getenv("ANYPLOT_THEME", "light")
+PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
+INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
+INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
+BRAND = "#009E73"
+
 # Data - Monthly rainfall (mm) showing seasonal patterns
-np.random.seed(42)
 months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]
 values = [85, 70, 65, 45, 30, 20, 15, 25, 40, 60, 75, 90]
-
+max_val = max(values)
 n = len(months)
+angle_width = 2 * np.pi / n
 
 # Calculate wedge angles (equal slices, starting from top/north)
-angle_width = 2 * np.pi / n
 start_angles = np.array([np.pi / 2 - angle_width / 2 - i * angle_width for i in range(n)])
 end_angles = start_angles - angle_width
+center_angles = (start_angles + end_angles) / 2
 
-# Normalize values to radius (max value = 1.0 for full radius)
-max_val = max(values)
+# Normalize values to radius (max value = 1.0)
 radii = [v / max_val for v in values]
 
-# Colors - gradient from Python Yellow to Python Blue based on value
-colors = ["#306998" if v >= 60 else "#4A89B8" if v >= 40 else "#7AB3D8" if v >= 25 else "#FFD43B" for v in values]
+# Brand green with alpha varying by rainfall intensity
+alphas = [0.35 + 0.65 * (v / max_val) for v in values]
 
 source = ColumnDataSource(
-    data={
-        "start_angle": start_angles,
-        "end_angle": end_angles,
-        "radius": radii,
-        "months": months,
-        "values": values,
-        "colors": colors,
-    }
+    data={"start_angle": start_angles, "end_angle": end_angles, "radius": radii, "alphas": alphas}
 )
 
-# Create figure with matching x/y ranges for circular shape
+# Create figure
 p = figure(
     width=4800,
     height=2700,
-    title="Monthly Rainfall · rose-basic · bokeh · pyplots.ai",
-    x_range=(-1.3, 1.3),
-    y_range=(-1.2, 1.1),
+    title="Monthly Rainfall · rose-basic · bokeh · anyplot.ai",
+    x_range=(-1.5, 1.5),
+    y_range=(-1.3, 1.35),
     tools="",
     toolbar_location=None,
 )
@@ -59,56 +67,56 @@
     start_angle="end_angle",
     end_angle="start_angle",
     source=source,
-    fill_color="colors",
-    fill_alpha=0.8,
-    line_color="white",
+    fill_color=BRAND,
+    fill_alpha="alphas",
+    line_color=PAGE_BG,
     line_width=2,
 )
 
-# Add radial gridlines (concentric circles)
+# Radial gridlines (concentric circles)
+theta = np.linspace(0, 2 * np.pi, 200)
 for r in [0.25, 0.5, 0.75, 1.0]:
-    theta = np.linspace(0, 2 * np.pi, 100)
-    p.line(r * np.cos(theta), r * np.sin(theta), line_color="gray", line_alpha=0.3, line_width=1, line_dash="dashed")
+    p.line(r * np.cos(theta), r * np.sin(theta), line_color=INK, line_alpha=0.22, line_width=1.5, line_dash="dashed")
 
-# Add radial lines from center
+# Radial divider lines from center
 for i in range(n):
     angle = np.pi / 2 - i * angle_width
-    p.line([0, 1.05 * np.cos(angle)], [0, 1.05 * np.sin(angle)], line_color="gray", line_alpha=0.2, line_width=1)
+    p.line([0, 1.05 * np.cos(angle)], [0, 1.05 * np.sin(angle)], line_color=INK, line_alpha=0.18, line_width=1)
 
-# Add month labels around the outside
-label_radius = 1.12
+# Month labels centered in each wedge
+label_radius = 1.15
 for i, month in enumerate(months):
-    angle = np.pi / 2 - i * angle_width
-    x = label_radius * np.cos(angle)
-    y = label_radius * np.sin(angle)
+    angle = center_angles[i]
     p.text(
-        x=[x],
-        y=[y],
+        x=[label_radius * np.cos(angle)],
+        y=[label_radius * np.sin(angle)],
         text=[month],
         text_align="center",
         text_baseline="middle",
-        text_font_size="18pt",
-        text_color="#333333",
+        text_font_size="20pt",
+        text_color=INK,
     )
 
-# Add value scale labels on right side
-p.text(x=[1.05], y=[0.25], text=["25%"], text_font_size="14pt", text_color="gray", text_align="left")
-p.text(x=[1.05], y=[0.5], text=["50%"], text_font_size="14pt", text_color="gray", text_align="left")
-p.text(x=[1.05], y=[0.75], text=["75%"], text_font_size="14pt", text_color="gray", text_align="left")
-p.text(x=[1.05], y=[1.0], text=["100%"], text_font_size="14pt", text_color="gray", text_align="left")
+# Rainfall scale labels (actual mm values, right side)
+for r in [0.25, 0.5, 0.75, 1.0]:
+    val_label = f"{int(r * max_val + 0.5)} mm"
+    p.text(x=[1.2], y=[r], text=[val_label], text_font_size="15pt", text_color=INK_SOFT, text_align="left")
 
-# Styling
+# Title and chrome
 p.title.text_font_size = "28pt"
 p.title.align = "center"
-p.background_fill_color = "white"
-p.border_fill_color = "white"
+p.title.text_color = INK
+p.title.text_font_style = "normal"
+
+p.background_fill_color = PAGE_BG
+p.border_fill_color = PAGE_BG
 p.outline_line_color = None
 
 # Hide axes (not needed for rose chart)
 p.axis.visible = False
 p.grid.visible = False
 
-# Save as PNG and HTML
-export_png(p, filename="plot.png")
-output_file("plot.html")
+# Save
+export_png(p, filename=f"plot-{THEME}.png")
+output_file(f"plot-{THEME}.html")
 save(p)