feat(bokeh): implement line-filled

[github-actions]

Implementation: line-filled - python/bokeh

Implements the python/bokeh version of line-filled.

File: plots/line-filled/implementations/python/bokeh.py

Parent Issue: #2643

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

Light render (plot-light.png): The plot displays on a warm off-white background (#FAF8F1). The title "line-filled · bokeh · anyplot.ai" is rendered in dark text and is clearly readable. The X-axis labeled "Month" shows tick labels 1-12, and the Y-axis labeled "Website Visitors (count)" shows values 0, 20000, 40000, 60000, 80000. The data is rendered as a semi-transparent filled area in brand green (#009E73) with a solid green line on top and scatter points at each month. The grid is subtle at 10% opacity. All text elements (title, axis labels, tick labels) are clearly legible against the light background.

Dark render (plot-dark.png): The plot displays on a warm near-black background (#1A1A17). All text colors have adapted to light shades for readability—the title and axis labels are clearly visible. The data colors are identical to the light render (same brand green #009E73), maintaining consistent category identity between themes. Only chrome elements (text, grid, axes) have adapted to the dark theme. Y-axis tick labels are visible, grid lines are subtle but present, and there is no dark-on-dark readability failure. Both renders are theme-correct.

Score: 91/100

Category	Score	Max
Visual Quality	30	30
Design Excellence	14	20
Spec Compliance	15	15
Data Quality	14	15
Code Quality	10	10
Library Mastery	8	10
Total	91	100

Visual Quality (30/30)

• VQ-01: Text Legibility (8/8) - All text correctly sized and readable in both themes
• VQ-02: No Overlap (6/6) - Clean layout with no collisions
• VQ-03: Element Visibility (6/6) - Fill, line, and scatter all distinguishable
• VQ-04: Color Accessibility (2/2) - Brand green is colorblind-safe (Okabe-Ito Add workflow diagram for new prototype discovery #1)
• VQ-05: Layout & Canvas (4/4) - Excellent proportions and margins at 4800×2700
• VQ-06: Axis Labels & Title (2/2) - Correct format and descriptive labels with units
• VQ-07: Palette Compliance (2/2) - Brand green correct, backgrounds #FAF8F1/#1A1A17, theme-adaptive chrome only

Design Excellence (14/20)

• DE-01: Aesthetic Sophistication (6/8) - Publication-ready with scatter points adding visual interest
• DE-02: Visual Refinement (4/6) - Subtle grid, minimal decoration, good whitespace
• DE-03: Data Storytelling (4/6) - Clear seasonal pattern with natural focal point (summer peak)

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) - Correct filled line plot (area chart)
• SC-02: Required Features (4/4) - Semi-transparent fill (α=0.35), visible line, matching colors, y=0 baseline
• SC-03: Data Mapping (3/3) - Months on X, visitors on Y, all data shown
• SC-04: Title & Legend (3/3) - Correct title format, no legend (single-series appropriate)

Data Quality (14/15)

• DQ-01: Feature Coverage (5/6) - Shows seasonal variation, growth trend, realistic visualization
• DQ-02: Realistic Context (5/5) - Website traffic is plausible with realistic seasonal pattern
• DQ-03: Appropriate Scale (4/4) - Y-range (0–80k) and X-range (12 months) sensible for domain

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) - Simple, straightforward implementation
• CQ-02: Reproducibility (2/2) - Uses np.random.seed(42)
• CQ-03: Clean Imports (2/2) - All imports used, no clutter
• CQ-04: Code Elegance (2/2) - Appropriate complexity, no fake UI
• CQ-05: Output & API (1/1) - Correct PNG/HTML naming, current API

Library Mastery (8/10)

• LM-01: Idiomatic Usage (5/5) - Excellent ColumnDataSource, varea/line/scatter, HoverTool, theme tokens, Selenium
• LM-02: Distinctive Features (3/5) - Good bokeh patterns (varea fill, HoverTool, ColumnDataSource)

Score Caps Applied

• None — All criteria strong, no cap conditions triggered

Strengths

• Perfect visual quality with full theme readability in both light and dark renders
• Correct Okabe-Ito color usage (#009E73) with proper theme adaptation
• Idiomatic bokeh implementation using ColumnDataSource, varea, and interactive HoverTool
• Full specification compliance with semi-transparent fill, visible line, and y=0 baseline
• Realistic, well-scaled data (website traffic) with clear seasonal narrative
• Clean, reproducible code with proper font sizing for large canvas

Weaknesses

• Design excellence could explore more refinement (e.g., removing left/right spines for minimal aesthetic)
• Library mastery could leverage advanced bokeh features (callbacks, custom JS, advanced interactivity)

AI Feedback for Next Attempt

Excellent implementation meeting all quality standards. No fixes required. Consider exploring bokeh-specific advanced patterns in future work (Bokeh callbacks, custom JavaScript interactions, linked brushing for multi-view dashboards).

Verdict: APPROVED