{"spec_id":"donut-basic","library":"bokeh","language":"python","code":"\"\"\" anyplot.ai\ndonut-basic: Basic Donut Chart\nLibrary: bokeh 3.9.1 | Python 3.13.14\nQuality: 89/100 | Updated: 2026-06-25\n\"\"\"\n\nimport os\nimport sys\nimport time\nfrom math import cos, pi, sin\nfrom pathlib import Path\n\n\n# Prevent this file from shadowing the installed bokeh package\n_this_dir = os.path.dirname(os.path.abspath(__file__))\nif _this_dir in sys.path:\n    sys.path.remove(_this_dir)\n\nimport numpy as np\nfrom bokeh.io import output_file, save\nfrom bokeh.models import ColumnDataSource, HoverTool, Label\nfrom bokeh.plotting import figure\nfrom bokeh.transform import cumsum\nfrom selenium import webdriver\nfrom selenium.webdriver.chrome.options import Options\n\n\n# Theme tokens\nTHEME = os.getenv(\"ANYPLOT_THEME\", \"light\")\nPAGE_BG = \"#FAF8F1\" if THEME == \"light\" else \"#1A1A17\"\nELEVATED_BG = \"#FFFDF6\" if THEME == \"light\" else \"#242420\"\nINK = \"#1A1A17\" if THEME == \"light\" else \"#F0EFE8\"\nINK_SOFT = \"#4A4A44\" if THEME == \"light\" else \"#B8B7B0\"\n\n# Imprint categorical palette — first segment is always brand green\nIMPRINT = [\"#009E73\", \"#C475FD\", \"#4467A3\", \"#BD8233\", \"#AE3030\"]\n\n# Data — Annual budget allocation by department (USD thousands)\ncategories = [\"Engineering\", \"Operations\", \"Marketing\", \"Sales\", \"Support\"]\nvalues = [480, 210, 155, 125, 55]\ntotal = sum(values)\n\nangles = [v / total * 2 * pi for v in values]\npercentages = [f\"{v / total * 100:.1f}%\" for v in values]\nformatted_values = [f\"${v:,}K\" for v in values]\ncolors = IMPRINT[: len(categories)]\n\nsource = ColumnDataSource(\n    data={\n        \"category\": categories,\n        \"value\": values,\n        \"angle\": angles,\n        \"color\": colors,\n        \"percentage\": percentages,\n        \"formatted_value\": formatted_values,\n    }\n)\n\n# Contrast-adaptive percentage label colors (perceived brightness threshold 0.45)\nlabel_colors = []\nfor c in colors:\n    r, g, b = int(c[1:3], 16) / 255.0, int(c[3:5], 16) / 255.0, int(c[5:7], 16) / 255.0\n    label_colors.append(\"#1A1A17\" if 0.299 * r + 0.587 * g + 0.114 * b >= 0.45 else \"#F0EFE8\")\n\n# Title — length-scaled fontsize (baseline 50pt for 67-char title)\ntitle_str = \"Budget by Department · donut-basic · python · bokeh · anyplot.ai\"\nn = len(title_str)\ntitle_fontsize = f\"{round(50 * (67 / n if n > 67 else 1.0))}pt\"\n\n# Plot — square canvas 2400×2400 for circular shapes\np = figure(\n    width=2400,\n    height=2400,\n    title=title_str,\n    toolbar_location=None,\n    tools=\"\",\n    x_range=(-1.25, 1.25),\n    y_range=(-1.25, 1.25),\n    min_border_top=120,\n    min_border_bottom=60,\n    min_border_left=60,\n    min_border_right=180,\n)\n\n# Donut ring\nrenderer = p.annular_wedge(\n    x=0,\n    y=0,\n    inner_radius=0.62,\n    outer_radius=1.0,\n    start_angle=cumsum(\"angle\", include_zero=True),\n    end_angle=cumsum(\"angle\"),\n    line_color=PAGE_BG,\n    line_width=5,\n    fill_color=\"color\",\n    legend_field=\"category\",\n    source=source,\n)\n\n# HoverTool — Bokeh's signature interactive feature (active in HTML output)\nhover = HoverTool(\n    renderers=[renderer], tooltips=[(\"Category\", \"@category\"), (\"Budget\", \"@formatted_value\"), (\"Share\", \"@percentage\")]\n)\np.add_tools(hover)\n\n# Percentage labels at ring midpoint — contrast-adaptive; dominant segment rendered larger\ncumulative_starts = np.cumsum([0.0] + angles[:-1])\nfor i, (pct, start, ang, lc) in enumerate(zip(percentages, cumulative_starts, angles, label_colors, strict=True)):\n    mid = start + ang / 2\n    label_radius = 0.815\n    lx = label_radius * cos(mid)\n    ly = label_radius * sin(mid)\n    # Engineering (i=0) gets a larger label to signal its dominance\n    font_size = \"52pt\" if i == 0 else \"34pt\"\n    p.add_layout(\n        Label(\n            x=lx,\n            y=ly,\n            text=pct,\n            text_font_size=font_size,\n            text_color=lc,\n            text_font_style=\"bold\",\n            text_align=\"center\",\n            text_baseline=\"middle\",\n        )\n    )\n\n# Center metric — key summary in the hollow ring; Engineering callout for data storytelling\np.add_layout(\n    Label(\n        x=0,\n        y=0.21,\n        text=\"Total budget\",\n        text_font_size=\"34pt\",\n        text_color=INK_SOFT,\n        text_align=\"center\",\n        text_baseline=\"middle\",\n    )\n)\np.add_layout(\n    Label(\n        x=0,\n        y=0.03,\n        text=f\"${total:,}K\",\n        text_font_size=\"72pt\",\n        text_color=INK,\n        text_font_style=\"bold\",\n        text_align=\"center\",\n        text_baseline=\"middle\",\n    )\n)\n# Callout: name the dominant segment so the viewer's eye is guided\np.add_layout(\n    Label(\n        x=0,\n        y=-0.22,\n        text=\"Engineering leads · 46.8%\",\n        text_font_size=\"30pt\",\n        text_color=IMPRINT[0],\n        text_font_style=\"bold\",\n        text_align=\"center\",\n        text_baseline=\"middle\",\n    )\n)\n\n# Style — theme-adaptive chrome\np.background_fill_color = PAGE_BG\np.border_fill_color = PAGE_BG\np.outline_line_color = None\n\np.title.text_font_size = title_fontsize\np.title.text_color = INK\np.title.align = \"center\"\np.title.text_font_style = \"bold\"\n\np.axis.visible = False\np.grid.visible = False\n\np.legend.background_fill_color = ELEVATED_BG\np.legend.border_line_color = INK_SOFT\np.legend.label_text_color = INK_SOFT\np.legend.label_text_font_size = \"34pt\"\np.legend.location = \"top_right\"\np.legend.spacing = 14\np.legend.padding = 18\np.legend.glyph_height = 40\np.legend.glyph_width = 40\n\n# Save — interactive HTML + headless-Chrome screenshot (export_png unavailable in CI)\noutput_file(f\"plot-{THEME}.html\")\nsave(p)\n\nW, H = 2400, 2400\nopts = Options()\nfor arg in (\n    \"--headless=new\",\n    \"--no-sandbox\",\n    \"--disable-dev-shm-usage\",\n    \"--disable-gpu\",\n    f\"--window-size={W},{H}\",\n    \"--hide-scrollbars\",\n):\n    opts.add_argument(arg)\ndriver = webdriver.Chrome(options=opts)\ndriver.set_window_size(W, H)\ndriver.execute_cdp_cmd(\n    \"Emulation.setDeviceMetricsOverride\", {\"width\": W, \"height\": H, \"deviceScaleFactor\": 1, \"mobile\": False}\n)\ndriver.get(f\"file://{Path(f'plot-{THEME}.html').resolve()}\")\ntime.sleep(3)\ndriver.save_screenshot(f\"plot-{THEME}.png\")\ndriver.quit()\n\n# Ensure exact canvas dimensions — pad/crop if browser clips or adds chrome\nfrom PIL import Image as _PILImage\n\n\n_img = _PILImage.open(f\"plot-{THEME}.png\").convert(\"RGB\")\nif _img.size != (W, H):\n    _norm = _PILImage.new(\"RGB\", (W, H), PAGE_BG)\n    _norm.paste(_img, ((W - _img.size[0]) // 2, (H - _img.size[1]) // 2))\n    _norm.save(f\"plot-{THEME}.png\")\n"}