feat(bokeh): implement circos-basic

[github-actions]

Implementation: circos-basic - python/bokeh

Implements the python/bokeh version of circos-basic.

File: plots/circos-basic/implementations/python/bokeh.py

Parent Issue: #3005

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

Light render (plot-light.png): The plot displays a beautiful circos diagram on a warm off-white background (#FAF8F1). Six colored segments (green, orange, blue, pink, yellow, light blue) arranged around the outer ring represent world regions (Asia, Europe, N. America, S. America, Africa, Oceania). Each segment is clearly labeled with dark text positioned outside the ring. An inner concentric track displays GDP Growth percentages as bars in matching colors with semi-transparency (alpha=0.4). Ribbons connect related regions, showing flow magnitudes with widths proportional to the connection values. All ribbons use the same color as their source region. A legend on the right clearly identifies each region with its Okabe-Ito color. The annotation "Inner track: GDP Growth (%)" is clearly readable in dark text at the bottom. All text is readable against the light background with excellent contrast.

Dark render (plot-dark.png): Rendered on a warm near-black background (#1A1A17), the same circos plot maintains perfect visual consistency. The six outer segments display identical Okabe-Ito colors—the data colors remain unchanged between renders (only chrome adapts). Region labels, legend text, and all annotations are rendered in light color (#F0EFE8 for primary, #B8B7B0 for secondary) and are clearly visible with excellent contrast against the dark background. The inner track bars are semi-transparent as in the light render. Ribbons are equally visible with their colors preserved. There is no "dark-on-dark" issue—all text elements use appropriately light colors for dark-theme readability. The brand green (#009E73) for the Asia segment is prominent and legible.

Score: 89/100

Category	Score	Max
Visual Quality	30	30
Design Excellence	11	20
Spec Compliance	15	15
Data Quality	15	15
Code Quality	10	10
Library Mastery	8	10
Total	89	100

Visual Quality (30/30)

• VQ-01: Text Legibility (8/8) - Font sizes explicitly set (title 36pt, labels 20pt, annotations 18pt). All text readable at full size in both light and dark themes with excellent contrast.
• VQ-02: No Overlap (6/6) - Region labels positioned with adequate spacing around circle. Legend clearly separated. No overlapping elements that reduce readability.
• VQ-03: Element Visibility (6/6) - Outer segments with alpha=0.85, inner track bars with alpha=0.4, ribbons with alpha=0.45. All layers clearly visible and distinguishable.
• VQ-04: Color Accessibility (2/2) - Okabe-Ito palette is colorblind-safe. Adequate contrast throughout. No red-green as sole signal.
• VQ-05: Layout & Canvas (4/4) - 3600×3600 square format appropriate for symmetric circos layout. Excellent margins and proportions. Nothing cut off.
• VQ-06: Axis Labels & Title (2/2) - Title format correct ("circos-basic · bokeh · anyplot.ai"). Region names label segments. Inner track annotation explains data layer.
• VQ-07: Palette Compliance (2/2) - First series #009E73 (green) ✓. Okabe-Ito order maintained (green, orange, blue, pink, yellow, sky blue). Background colors theme-correct (#FAF8F1 light, #1A1A17 dark). Both renders consistent.

Design Excellence (11/20)

• DE-01: Aesthetic Sophistication (4/8) - Uses Okabe-Ito palette correctly and custom alpha values (0.85, 0.4, 0.45) for layered visibility. Circular layout shows design thought. However, styling is relatively standard without exceptional customization.
• DE-02: Visual Refinement (3/6) - Axes/grid removed for clean look. Subtle reference circle and proportional ribbon styling. Good use of alpha for layering. Could benefit from more explicit visual hierarchy.
• DE-03: Data Storytelling (4/6) - Clear visual hierarchy through color coding (same region color for segment, inner track, and ribbons). Circular layout reveals flow patterns effectively. Region grouping naturally guides viewer attention.

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) - Correct circos plot with circular layout, concentric tracks, and ribbon connections.
• SC-02: Required Features (4/4) - Segments arranged with visual gaps ✓, ribbon width proportional to connection value ✓, distinct colors per segment ✓, concentric inner track ✓.
• SC-03: Data Mapping (3/3) - Segments represent regions. Segment size reflects total flow magnitude. Ribbon values show connection strength. Inner track displays additional metric (GDP growth).
• SC-04: Title & Legend (3/3) - Title format correct. Legend labels match region names. Inner track annotation present.

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6) - Shows complete circos plot: outer segments, ribbons, inner metric track. 6 regions with realistic trade flows.
• DQ-02: Realistic Context (5/5) - World region trade flows with GDP growth data. Plausible values, neutral context, realistic domain.
• DQ-03: Appropriate Scale (4/4) - Flow values (max ~52) sensible for migration/trade magnitude. GDP values (1.5–4.2%) realistic. Segment sizes scale proportionally.

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) - Procedural code, no unnecessary functions or classes.
• CQ-02: Reproducibility (2/2) - Uses np.random.seed(42) for deterministic output.
• CQ-03: Clean Imports (2/2) - All imports used: numpy, bokeh.plotting, bokeh.models, bokeh.io, selenium.
• CQ-04: Code Elegance (2/2) - No fake interactivity, appropriate complexity for plot type.
• CQ-05: Output & API (1/1) - Saves as plot-{THEME}.png and plot-{THEME}.html. Uses current Bokeh API.

Library Mastery (8/10)

• LM-01: Idiomatic Usage (5/5) - Follows bokeh.md guide exactly: figure() creation, ColumnDataSource, patches() for custom shapes, text() for annotations, Selenium screenshot pattern.
• LM-02: Distinctive Features (3/5) - Effective use of patches() with polygon data and Bezier curves for ribbon paths. Shows good Bokeh technique but doesn't push library's unique interactive capabilities.

Score Caps Applied

• None - No caps triggered. All foundational scores sufficient.

Strengths

• Perfect visual quality with excellent text legibility in both light and dark themes
• Flawless spec compliance with all required circos features implemented
• Correct and consistent use of Okabe-Ito palette with proper theme-adaptive colors
• Realistic, well-scaled data (world regions, trade flows, GDP metrics)
• Clean, reproducible code with proper Selenium screenshot workflow
• Excellent color coding that creates intuitive visual hierarchy (region color consistent across segment, inner track, and ribbons)

Weaknesses

• Design Excellence is moderate: while visually sound, lacks distinctive aesthetic customization or sophisticated visual refinement beyond standard requirements
• Could benefit from more pronounced visual hierarchy or design emphasis (e.g., highlight flows above/below threshold with different styling, or add subtle annotations for key insights)

Issues Found

None critical. The implementation is solid and complete. Minor design-polish opportunity:

1. DE-01/DE-02 MODERATE: Generic styling with correct standard approach. Consider adding visual emphasis techniques (e.g., thicker/more saturated ribbons for high-flow connections, or subtle directional emphasis).

AI Feedback for Next Attempt

If design excellence needs improvement: Consider adding visual emphasis to high-flow connections (variable line width or opacity based on magnitude), refining the inner track label placement, or adding subtle source/target direction cues. Current implementation is excellent on technical/spec grounds; polish would elevate design impact.

Verdict: APPROVED

[github-actions]

🔧 Repair Attempt 1/4

Applied fixes based on AI review feedback.

Status: Repair completed, re-triggering review...

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🤖 impl-repair

[claude]

AI Review - Attempt 2/3

Image Description

Light render (): A beautifully rendered circos plot on a warm off-white (#FAF8F1) background featuring 6 world regions (Asia, Europe, N. America, S. America, Africa, Oceania) arranged in a circular layout. The outer ring displays each region in a distinct Okabe-Ito color (starting with #009E73 green for Asia, then orange, blue, pink, yellow, sky blue). Region labels are positioned radially around the circle in dark text (20pt) and are fully readable. An inner concentric track shows GDP Growth percentages with proportional bar heights in matching colors. Flowing ribbons connect regions, with widths proportional to trade flow values (40+ connections visible). A subtle reference circle (0.2 alpha) marks the inner track radius. A legend on the right displays all six regions with color swatches and labels (16pt). The annotation "Inner track: GDP Growth (%)" is clearly visible at the bottom in secondary text color (18pt). All elements (title, labels, legend, annotation) are explicitly sized and completely readable in the light theme.

Dark render (): The same circos plot rendered on a warm near-black (#1A1A17) background with all text adapted to light colors for the dark theme. The Okabe-Ito data colors (green, orange, blue, pink, yellow, sky blue) remain perfectly identical to the light render—only the chrome (background and text) has switched to dark-theme tokens. The title is in light text (#F0EFE8), region labels in light gray (#B8B7B0), and all are equally readable as in the light version. The legend and annotation are also correctly adapted with no "dark-on-dark" failures. Segments, track bars, and ribbons maintain their vibrancy and contrast against the dark background. Both renders pass the legibility check with flying colors.

Score: 94/100

Category	Score	Max
Visual Quality	30	30
Design Excellence	16	20
Spec Compliance	15	15
Data Quality	15	15
Code Quality	10	10
Library Mastery	8	10
Total	94	100

Visual Quality (30/30)

• VQ-01: Text Legibility (8/8) - All font sizes explicitly set (36pt title, 20pt labels, 18pt annotation, 16pt legend); perfectly readable in both themes
• VQ-02: No Overlap (6/6) - Region labels positioned radially with proper spacing; legend isolated to right; no overlapping text
• VQ-03: Element Visibility (6/6) - Segments, track bars, and ribbons excellently visible; alpha values (0.85, 0.4, 0.45) optimally adapted to data density
• VQ-04: Color Accessibility (2/2) - Okabe-Ito palette is colorblind-safe; excellent contrast; no red-green as sole signal
• VQ-05: Layout & Canvas (4/4) - 3600×3600 square format ideal for circos; plot fills 60-70% of canvas; balanced margins; legend well-positioned
• VQ-06: Axis Labels & Title (2/2) - Correct title format (circos-basic · bokeh · anyplot.ai); descriptive region labels; annotation with context ("GDP Growth (%)")
• VQ-07: Palette Compliance (2/2) - First series #009E73 ✓; Okabe-Ito positions 1–6 in canonical order ✓; backgrounds #FAF8F1 (light) / #1A1A17 (dark) ✓; text colors theme-correct in both renders ✓

Design Excellence (16/20)

• DE-01: Aesthetic Sophistication (6/8) - Thoughtful circos design with custom angle calculations, proportional ribbon widths, proper gap sizing, and intentional alpha blending. Professional execution but lacks exceptional aesthetic flourishes (publication-ready would require more visual polish).
• DE-02: Visual Refinement (6/6) - Axes hidden, grid removed, generous whitespace, subtle reference lines, refined segment borders; excellent attention to detail
• DE-03: Data Storytelling (4/6) - Clear narrative of global trade flows; color coding makes relationships easy to follow; inner track adds context. Visual hierarchy present through scale and color, but no particular emphasis or focal point highlighting a specific insight.

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) - Correct circos chart type with all variants (segments, tracks, ribbons)
• SC-02: Required Features (4/4) - Segments with gaps ✓; proportional ribbon widths ✓; distinct colors ✓; 1–3 concentric tracks ✓
• SC-03: Data Mapping (3/3) - Regions → segments; flow values → ribbon widths; track values → bar heights; all axes show data
• SC-04: Title & Legend (3/3) - Correct format; legend labels match regions exactly

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6) - Shows all circos aspects: outer segments, multiple connections, proportional ribbons, inner track with variation, connection filtering by threshold
• DQ-02: Realistic Context (5/5) - Global trade flows between real regions; plausible flow magnitudes; GDP growth in realistic percentages; neutral, comprehensible scenario
• DQ-03: Appropriate Scale (4/4) - Trade values (3–52 units) appropriate for magnitude; GDP growth (1.5–4.2%) factually plausible; proportions logically sound

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) - Imports → data generation → plot → save; no functions, no classes; linear flow
• CQ-02: Reproducibility (2/2) - set; deterministic data
• CQ-03: Clean Imports (2/2) - All imports used: sys, Path, os, time, numpy, bokeh modules, selenium
• CQ-04: Code Elegance (2/2) - Clean, Pythonic; complexity appropriate for circos; correct Bezier curve math; no over-engineering, no fake UI
• CQ-05: Output & API (1/1) - Saves as and ✓

Library Mastery (8/10)

• LM-01: Idiomatic Usage (5/5) - Expert use of Bokeh: , for complex geometries, , , , ; follows recommended patterns
• LM-02: Distinctive Features (3/5) - Uses with custom polygon coordinates, manual geometric calculations for circos layout, Bezier curve generation for smooth ribbons. Mostly geometric computation rather than Bokeh-distinctive (could be adapted to other libraries).

Score Caps Applied

• None - All criteria passed thresholds; no caps triggered

Strengths

• Perfect visual quality: all text explicitly sized and readable in both light and dark themes
• Complete spec compliance: all circos features (segments, gaps, proportional ribbons, tracks) implemented correctly
• Excellent theme-adaptive design with Okabe-Ito palette applied flawlessly
• Complex geometric calculations correctly implemented (Bezier curves for smooth ribbons, proper angle calculations)
• Clean, reproducible code with deterministic seed
• Realistic trade flow data with appropriate scale
• Professional Bokeh API usage with ColumnDataSource patterns

Weaknesses

• Design Excellence slightly below publication-ready: well-executed but lacks exceptional aesthetic polish or visual flourishes
• Data storytelling is functional but doesn't highlight a particular insight or create visual emphasis (color contrast or focal points could draw attention to a specific pattern)
• Library Mastery: geometric computation is generic; more Bokeh-distinctive features (callbacks, glyphs, or advanced interactivity in HTML output) would elevate score

Issues Found

1. DE-01 STRONG: Well-designed circos with custom layout and proportional sizing, but could benefit from minor aesthetic enhancement to reach publication-ready status
   • Fix: Consider adding subtle visual emphasis (e.g., highlight regions with highest flows, vary line weights by connection strength) or refine typography hierarchy
2. DE-03 MEDIUM: Data storytelling is present but could be more compelling with visual hierarchy or emphasis
   • Fix: Use color intensity or size variation to guide viewer to key insights (e.g., highlight the most significant trade routes or regions)

AI Feedback for Next Attempt

This is a strong implementation scoring 94/100 and meeting the Review 1 threshold (≥90). The circos plot is technically excellent with perfect spec compliance, correct Okabe-Ito palette application, flawless theme adaptation, and clean code. Visual quality is perfect across all criteria. To reach 96+, focus on: (1) minor aesthetic polish—consider emphasizing dominant trade flows through highlight colors or line weights, or refining axis/legend positioning for visual balance; (2) storytelling through visual hierarchy—use color intensity or scale to guide the viewer to key insights rather than presenting flows equally.

Verdict: APPROVED