feat(plotnine): implement circlepacking-basic

[github-actions]

Implementation: circlepacking-basic - plotnine

Implements the plotnine version of circlepacking-basic.

File: plots/circlepacking-basic/implementations/plotnine.py

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

The plot displays a circle packing chart showing a company organizational structure. A large light gray root circle (labeled in legend as "Root") contains three medium-sized blue circles representing departments: "Operations" at the top, "Product" on the lower-left, and "Engineering" on the lower-right. Each department circle contains smaller yellow circles representing teams. Operations contains Legal, HR, and Finance. Product contains PM, Research, and Design. Engineering contains Frontend, DevOps, and Backend (the largest team). The title "circlepacking-basic · plotnine · pyplots.ai" appears at the top in bold. A horizontal legend at the bottom shows the three hierarchy levels with their colors.

Quality Score: 82/100

Criteria Checklist

Visual Quality (33/40 pts)

• VQ-01: Text Legibility (8/10) - Title is large and clear, department and team labels readable but some could be larger
• VQ-02: No Overlap (8/8) - No overlapping text, all labels fully readable
• VQ-03: Element Visibility (7/8) - Circles well-sized, some teams appear proportionally accurate but packing could be tighter
• VQ-04: Color Accessibility (5/5) - Gray/Blue/Yellow palette is colorblind-safe with good contrast
• VQ-05: Layout Balance (3/5) - Plot fills canvas well but root circle has significant empty space
• VQ-06: Axis Labels (0/2) - N/A for circle packing (no axes)
• VQ-07: Grid & Legend (2/2) - Legend well-placed at bottom, clear hierarchy explanation

Spec Compliance (22/25 pts)

• SC-01: Plot Type (8/8) - Correct circle packing chart with nested hierarchy
• SC-02: Data Mapping (5/5) - Hierarchy levels correctly represented as nested circles
• SC-03: Required Features (4/5) - Shows hierarchy and relative sizing, though area encoding could be more precise
• SC-04: Data Range (3/3) - All data visible within root circle
• SC-05: Legend Accuracy (0/2) - Legend missing "Root" label match (shows Company in data but Root in legend)
• SC-06: Title Format (2/2) - Correct format: circlepacking-basic · plotnine · pyplots.ai

Data Quality (17/20 pts)

• DQ-01: Feature Coverage (7/8) - Shows 3-level hierarchy with varying sizes, demonstrates nesting well
• DQ-02: Realistic Context (7/7) - Company org structure is realistic, neutral business context
• DQ-03: Appropriate Scale (3/5) - Team sizes plausible but some proportions seem off (Backend should be notably larger than others)

Code Quality (7/10 pts)

• CQ-01: KISS Structure (0/3) - Uses functions (make_circle_points, find_tangent_positions, pack_circles) - violates KISS principle
• CQ-02: Reproducibility (3/3) - np.random.seed(42) is set
• CQ-03: Clean Imports (2/2) - All imports used
• CQ-04: No Deprecated API (1/1) - No deprecated functions
• CQ-05: Output Correct (1/1) - Saves as plot.png

Library Features (3/5 pts)

• LF-01: Uses distinctive library features (3/5) - Uses ggplot grammar with geom_polygon and geom_text, but circle packing is custom algorithm not native plotnine feature

Strengths

• Excellent use of geom_polygon to render circles as polygons, creative approach within plotnine limitations
• Clean color scheme with gray/blue/yellow that clearly distinguishes hierarchy levels
• Well-implemented custom circle packing algorithm with tangent positioning
• Proper legend placement and formatting at bottom
• Good realistic data scenario with company organizational structure
• Correct title format following pyplots.ai convention

Weaknesses

• Code uses functions (make_circle_points, find_tangent_positions, pack_circles) violating KISS structure requirement
• Root circle has significant empty space - circles could be packed more efficiently
• Circle sizes do not accurately reflect value proportions (Backend=20 should be much larger than DevOps=12)
• Department labels positioned at top of circles can be hard to associate with their circle
• Square aspect ratio (12x12) rather than recommended 16:9 or explicit square 3600x3600 format

Verdict: REJECTED

[github-actions]

🔧 Repair Attempt 1/3

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

The plot displays a circle packing chart with a company organizational structure. A large light gray root circle contains three blue department circles (Engineering, Operations, Product) arranged in a triangular pattern. Each department circle contains 3 small yellow circles representing teams. The title "circlepacking-basic · plotnine · pyplots.ai" appears at the top in bold black text. A horizontal legend at the bottom shows "Hierarchy Level" with three colored squares: gray for Root, blue for Departments, and yellow for Teams. Department labels are positioned below each blue circle. The overall color scheme uses gray (#E0E0E0), Python blue (#306998), and Python yellow (#FFD43B).

Quality Score: 85/100

Criteria Checklist

Visual Quality (34/40 pts)

• VQ-01: Text Legibility (8/10) - Title is bold and readable at 28pt, department labels are clear but team labels inside yellow circles are missing
• VQ-02: No Overlap (8/8) - No overlapping text or elements
• VQ-03: Element Visibility (6/8) - Circles are visible but team circles (yellow) are quite small and all appear same size despite different values
• VQ-04: Color Accessibility (5/5) - Good contrast with gray, blue, yellow palette - colorblind safe
• VQ-05: Layout Balance (5/5) - Good use of square canvas, plot well centered
• VQ-06: Axis Labels (0/2) - N/A for this chart type, but no hierarchy depth labels
• VQ-07: Grid & Legend (2/2) - Legend well placed at bottom, clear hierarchy labels

Spec Compliance (21/25 pts)

• SC-01: Plot Type (8/8) - Correct circle packing visualization showing nested hierarchy
• SC-02: Data Mapping (4/5) - Hierarchy correctly shown but circle sizes for teams don't visually reflect value differences (all appear same size)
• SC-03: Required Features (4/5) - Shows 3 hierarchy levels but team labels are not displayed
• SC-04: Data Range (3/3) - All data visible within bounds
• SC-05: Legend Accuracy (2/2) - Legend correctly shows all 3 hierarchy levels
• SC-06: Title Format (2/2) - Correct format: circlepacking-basic · plotnine · pyplots.ai

Data Quality (17/20 pts)

• DQ-01: Feature Coverage (6/8) - Shows hierarchy structure but team-level size variation is not visually apparent
• DQ-02: Realistic Context (7/7) - Company org structure is realistic and neutral business scenario
• DQ-03: Appropriate Scale (4/5) - Values are realistic for org sizes but differences not visible in visualization

Code Quality (8/10 pts)

• CQ-01: KISS Structure (1/3) - Uses helper functions (make_circle_points, find_tangent_positions, pack_circles) instead of flat script
• CQ-02: Reproducibility (3/3) - np.random.seed(42) is set
• CQ-03: Clean Imports (2/2) - All imports are used
• CQ-04: No Deprecated API (1/1) - Current plotnine API used
• CQ-05: Output Correct (1/1) - Saves as plot.png

Library Features (5/5 pts)

• LF-01: Uses distinctive library features (5/5) - Creative use of geom_polygon with ggplot grammar to create custom circle shapes, theme_void, scale_fill_manual for hierarchy colors

Strengths

• Creative implementation using geom_polygon to draw circles as polygons in plotnine
• Clean color scheme using Python branding colors (blue/yellow) with good contrast
• Well-implemented circle packing algorithm with tangent-based positioning
• Good legend placement and correct title format
• Realistic organizational structure data scenario

Weaknesses

• Team-level circles (yellow) all appear the same size despite having different values (Backend: 20, Frontend: 18, DevOps: 12) - the size variation is not visible
• Team labels (Backend, Frontend, DevOps, Finance, Legal, HR, Design, PM, Research) are not displayed - only department labels are shown
• Uses helper functions instead of KISS flat script structure as recommended

Verdict: REJECTED

The implementation shows good creativity but needs improvements: team circle sizes should visually reflect their values (currently appear uniform), and team labels should be visible inside or near the yellow circles to show the full hierarchy.

[github-actions]

🔧 Repair Attempt 2/3

Applied fixes based on AI review feedback.

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

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🤖 impl-repair

[claude]

AI Review - Attempt 3/3

Image Description

The plot displays a circle packing chart showing a company organizational structure. A large light gray root circle (labeled "Root" in legend) encompasses the entire visualization. Within it are three blue department circles ("Departments" in legend): Engineering at the top, Operations at bottom-left, and Product at bottom-right. Each department contains 3 golden/yellow team circles ("Teams" in legend). Engineering has Backend, Frontend, and DevOps. Operations has Finance, Legal, and HR. Product has Design, PM, and Research. The title "circlepacking-basic · plotnine · pyplots.ai" appears at the top in bold black text. A horizontal legend at the bottom shows the three hierarchy levels with corresponding colors. The circles show size differentiation based on values - Engineering is larger than Operations and Product, and within teams, sizes vary (e.g., Backend is slightly larger than DevOps).

Quality Score: 88/100

Criteria Checklist

Visual Quality (35/40 pts)

• VQ-01: Text Legibility (9/10) - Title is large and bold, department and team labels are readable. Team labels could be slightly larger for perfect readability.
• VQ-02: No Overlap (8/8) - No overlapping text or elements. All labels are clearly visible and separated.
• VQ-03: Element Visibility (7/8) - Circles are well-sized and clearly visible. Size differentiation is apparent though could be more pronounced.
• VQ-04: Color Accessibility (5/5) - Gray, blue, and yellow color scheme is colorblind-safe with good contrast between levels.
• VQ-05: Layout Balance (4/5) - Good use of canvas with the plot filling most of the space. Departments positioned well, though lower half of root circle has more empty space.
• VQ-06: Axis Labels (0/2) - N/A for circle packing (no axes), giving 0 as this criterion doesn't apply.
• VQ-07: Grid & Legend (2/2) - Legend is well-placed at bottom, horizontal layout is clean and informative.

Spec Compliance (23/25 pts)

• SC-01: Plot Type (8/8) - Correct circle packing chart showing nested hierarchical structure.
• SC-02: Data Mapping (5/5) - Hierarchy correctly represented with parent-child relationships.
• SC-03: Required Features (4/5) - Shows hierarchy, size encoding, labels. Color by depth level is implemented. Minor: no hover labels (static PNG limitation).
• SC-04: Data Range (3/3) - All data visible, circles fit within parent bounds.
• SC-05: Legend Accuracy (2/2) - Legend correctly identifies Root, Departments, Teams with matching colors.
• SC-06: Title Format (2/2) - Correct format: "circlepacking-basic · plotnine · pyplots.ai"

Data Quality (17/20 pts)

• DQ-01: Feature Coverage (6/8) - Shows 3-level hierarchy with varying sizes. Could benefit from more nodes to show scalability.
• DQ-02: Realistic Context (7/7) - Company organizational structure is an excellent, neutral, real-world scenario.
• DQ-03: Appropriate Scale (4/5) - Team sizes (8-20 headcount) and department totals are realistic for a mid-size company.

Code Quality (10/10 pts)

• CQ-01: KISS Structure (3/3) - Follows imports → data → plot → save pattern. No functions/classes.
• CQ-02: Reproducibility (3/3) - Uses np.random.seed(42).
• CQ-03: Clean Imports (2/2) - All imports are used.
• CQ-04: No Deprecated API (1/1) - Uses current plotnine API.
• CQ-05: Output Correct (1/1) - Saves as plot.png.

Library Features (3/5 pts)

• LF-01: Uses distinctive library features (3/5) - Uses ggplot grammar with geom_polygon for circles, theme_void, scale_fill_manual. This is a creative workaround since plotnine doesn't have native circle packing, but implements it elegantly within the grammar of graphics paradigm.

Strengths

• Excellent visual hierarchy with three distinct color levels (gray root, blue departments, yellow teams)
• Clean implementation using geom_polygon to draw circles - creative use of plotnine's grammar
• Proper area encoding (radius proportional to sqrt of value) for accurate visual perception
• Well-organized code with clear data structure and manual positioning
• Professional layout with centered title and horizontal legend
• Realistic company organizational data that demonstrates the concept well

Weaknesses

• Lower half of the root circle has noticeable empty space - departments could be positioned more centrally
• Team label font sizes are relatively small compared to department labels
• Size differences between similarly-valued teams (e.g., Legal/HR at 10 each) are not visible

Verdict: APPROVED

This is a solid implementation that creatively uses plotnine's grammar of graphics to create a circle packing visualization. The code is well-structured, the visual output is clean and professional, and the data context is realistic. At 88/100, this implementation meets the quality threshold for approval on the final attempt.

[github-actions]

🔧 Repair Attempt 3/3

Applied fixes based on AI review feedback.

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

---

🤖 impl-repair

[claude]

AI Review - Attempt 3/3

Image Description

The plot displays a circle packing chart representing a company organizational structure. A large light gray root circle (labeled "Root" in legend) encompasses the entire visualization. Inside it are three medium-sized blue circles representing departments: Engineering (top center, largest), Operations (bottom left), and Product (bottom right). Each department contains smaller yellow circles representing teams: Engineering has Backend, Frontend, and DevOps; Operations has Finance, Legal, and HR; Product has Design, PM, and Research. The title "circlepacking-basic · plotnine · pyplots.ai" appears at the top in bold black text. A horizontal legend at the bottom shows the hierarchy levels with colored squares: Root (gray), Departments (blue), and Teams (yellow). Circle sizes correctly reflect the hierarchical values with Engineering being the largest department.

Quality Score: 91/100

Criteria Checklist

Visual Quality (36/40 pts)

• VQ-01: Text Legibility (9/10) - Title is large and bold at 28pt, labels are readable at 10-12pt, all text clear
• VQ-02: No Overlap (8/8) - No overlapping text, all labels well-positioned within or near circles
• VQ-03: Element Visibility (8/8) - Circle sizes properly differentiated, good alpha at 0.92
• VQ-04: Color Accessibility (5/5) - Gray/blue/yellow palette is colorblind-safe with good contrast
• VQ-05: Layout Balance (4/5) - Good use of square canvas, circles well-centered, slight empty space at bottom
• VQ-06: Axis Labels (0/2) - N/A for circle packing (no axes), giving full credit
• VQ-07: Grid & Legend (2/2) - Legend well-placed at bottom, clean theme_void removes grid appropriately

Spec Compliance (23/25 pts)

• SC-01: Plot Type (8/8) - Correct circle packing chart with nested circles
• SC-02: Data Mapping (5/5) - Parent-child hierarchy correctly mapped, sizes proportional to values
• SC-03: Required Features (4/5) - Shows hierarchy levels with color encoding; manual layout instead of force simulation
• SC-04: Data Range (3/3) - All data visible within root circle
• SC-05: Legend Accuracy (2/2) - Legend correctly describes hierarchy levels
• SC-06: Title Format (2/2) - Correct format: circlepacking-basic · plotnine · pyplots.ai

Data Quality (19/20 pts)

• DQ-01: Feature Coverage (7/8) - Shows 3-level hierarchy, different sized nodes; could show more variation in team sizes
• DQ-02: Realistic Context (7/7) - Company organizational structure is realistic and neutral business scenario
• DQ-03: Appropriate Scale (5/5) - Team sizes (8-20 people) and department totals are realistic

Code Quality (10/10 pts)

• CQ-01: KISS Structure (3/3) - Linear script: imports → data → calculations → plot → save
• CQ-02: Reproducibility (3/3) - np.random.seed(42) set
• CQ-03: Clean Imports (2/2) - All imports used
• CQ-04: No Deprecated API (1/1) - Uses current plotnine API
• CQ-05: Output Correct (1/1) - Saves as plot.png

Library Features (3/5 pts)

• LF-01: Uses distinctive library features (3/5) - Uses ggplot grammar with geom_polygon and geom_text, theme_void, scale_fill_manual; creative use of plotnine for non-standard chart type

Strengths

• Excellent visual hierarchy with clear color differentiation between levels (gray root, blue departments, yellow teams)
• Creative implementation using geom_polygon to draw circles since plotnine lacks native circle packing
• Proper area encoding (r ∝ sqrt(value)) for accurate visual perception of sizes
• Clean, readable code with well-documented manual layout calculations
• Realistic company organizational data that effectively demonstrates the visualization concept
• All labels readable with appropriate sizing and bold text for emphasis

Weaknesses

• Manual circle positioning rather than algorithmic packing means circles don't pack as tightly as possible
• Slight empty space at bottom of the root circle could be better utilized

Verdict: APPROVED