feat(plotnine): implement venn-labeled-items

[github-actions]

Implementation: venn-labeled-items - python/plotnine

Implements the python/plotnine version of venn-labeled-items.

File: plots/venn-labeled-items/implementations/python/plotnine.py

Parent Issue: #5364

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

Light render (plot-light.png): The plot uses a warm off-white background (#FAF8F1). Three semi-transparent Venn circles are rendered in Imprint palette order: brand green (#009E73) for "Peak Instagram" (top-left), lavender (#C475FD) for "Actually Nutritious" (top-right), and blue (#4467A3) for "Surprisingly Addictive" (bottom). A bold italic serif editorial title "Food Trend Taxonomy" dominates the top in dark ink, followed by a muted-gray spec subtitle. Category labels are bold serif text in matching circle colors, placed outside each circle. The 17 food-trend items are rendered as geom_label boxes with cream elevated backgrounds (#FFFDF6) and dark text — clearly readable individually. Legibility verdict: PASS with caveat — all text is readable against the light background, but several label boxes overlap in the triple-intersection area and the right-side B∩C zone ("Lentil Soup" box overlaps "Greek Yogurt" box; "Butterfly Pea Tea" is collision-close to "Cronuts").

Dark render (plot-dark.png): Background is correctly near-black (#1A1A17). Title and subtitle text switch to cream (#F0EFE8) and muted light gray (#A8A79F) — all clearly visible on the dark surface. No dark-on-dark failures. Data circle colors are identical to the light render (#009E73, #C475FD, #4467A3) — only chrome flips. Item label boxes use dark elevated backgrounds (#242420) with light text, maintaining readability. Category labels retain their Imprint palette colors (same as light render). The same label-overlap issues in intersection zones carry over. Legibility verdict: PASS — theme adaptation is correctly implemented throughout.

Score: 85/100

Category	Score	Max
Visual Quality	24	30
Design Excellence	14	20
Spec Compliance	15	15
Data Quality	15	15
Code Quality	10	10
Library Mastery	7	10
Total	85	100

Visual Quality (24/30)

• VQ-01: Text Legibility (7/8) — All font sizes explicitly set (title=26mm, categories=18mm, items=16mm, subtitle=14mm); readable in both themes; item label size slightly large for intersection density
• VQ-02: No Overlap (3/6) — "Lentil Soup" and "Greek Yogurt" boxes visibly overlap on the right; "Butterfly Pea Tea"/"Cronuts" near-collision on the left; triple-intersection cluster (Sourdough, Matcha, Cronuts, Dirty Soda, Greek Yogurt) is dense; text remains readable
• VQ-03: Element Visibility (5/6) — All 17 items and 3 circles clearly visible; geom_label backgrounds ensure readability even in overlapping zones
• VQ-04: Color Accessibility (2/2) — Three Imprint palette colors with good perceptual separation; alpha=0.22 fills distinguish overlapping regions; CVD-safe
• VQ-05: Layout & Canvas (3/4) — Square 2400×2400 correct for symmetric diagram; canvas gate passed; Venn fills majority of space; intersection crowding slightly detracts from balance
• VQ-06: Axis Labels & Title (2/2) — No traditional axis labels appropriate for Venn; category labels serve as zone identifiers
• VQ-07: Palette Compliance (2/2) — First circle #009E73 (brand green), second #C475FD (lavender), third #4467A3 (blue); backgrounds #FAF8F1 light / #1A1A17 dark; chrome fully theme-adaptive in both renders

Design Excellence (14/20)

• DE-01: Aesthetic Sophistication (5/8) — Editorial serif typography, bold italic title, color-matched category labels, elevated label boxes — clearly above defaults; not yet publication-ready; circle outlines could be crisper with INK_SOFT stroke
• DE-02: Visual Refinement (5/6) — No grid, no axes, no legend, semi-transparent fills, elevated background boxes — very clean magazine aesthetic; all spines/ticks removed appropriately
• DE-03: Data Storytelling (4/6) — Food trend taxonomy concept with witty categories guides viewer; color coding aids navigation; Sourdough in triple-intersection is satisfying; no specific insight emphasized beyond the taxonomy display itself

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) — Three-circle Venn with labeled items in all 7 interior zones; symmetric layout; semi-transparent fills
• SC-02: Required Features (4/4) — Semi-transparent fills, category labels outside circles, item labels inside zones, symmetric layout, gridless magazine background — all present
• SC-03: Data Mapping (3/3) — All 17 items correctly placed in their respective zones; all 7 zones (A, B, C, AB, AC, BC, ABC) populated
• SC-04: Title & Legend (3/3) — "Food Trend Taxonomy" editorial title + "venn-labeled-items · python · plotnine · anyplot.ai" spec subtitle; no legend appropriate (direct labeling used)

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6) — All 7 Venn zones populated (3 pure, 3 pair intersections, 1 triple); demonstrates full feature set
• DQ-02: Realistic Context (5/5) — Food trends: neutral, relatable, non-controversial; witty category names match Chartgeist editorial style
• DQ-03: Appropriate Scale (4/4) — Zone assignments logically sound: Avocado Toast (photogenic+nutritious), Sourdough (all three), Sardines (nutritious only), Takis (addictive only)

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) — Imports → Data → Plot → Save; no functions/classes; clear linear flow
• CQ-02: Reproducibility (2/2) — Fully deterministic: hardcoded coordinates, np.linspace for circle geometry
• CQ-03: Clean Imports (2/2) — All imports used; no unused imports
• CQ-04: Code Elegance (2/2) — Clean code; consolidated category labels into one DataFrame+layer; no fake functionality
• CQ-05: Output & API (1/1) — Saves as plot-{THEME}.png; current plotnine API

Library Mastery (7/10)

• LM-01: Idiomatic Usage (4/5) — Good grammar-of-graphics layering (geom_polygon+geom_label+geom_text), scale_*_identity patterns, coord_fixed, theme blanking — idiomatic but Venn geometry is manual coordinate math
• LM-02: Distinctive Features (3/5) — geom_label with label_size=0/label_padding for background boxes is ggplot2-distinctive; scale_fill/color_identity for direct color mapping; layered grammar approach

Score Caps Applied

• None — VQ-02=3 (not 0), DE-01=5 and DE-02=5 (both > 2, no cap), no controversial data, no fake functionality

Strengths

• Perfect spec compliance: all 7 Venn zones populated with well-chosen food trend items
• Correct Imprint palette: #009E73 green first, #C475FD lavender second, #4467A3 blue third; semi-transparent fills
• Excellent theme adaptation: both renders correctly adapted, no dark-on-dark failures
• Editorial magazine aesthetic well executed: bold italic serif title, color-coded category labels, elevated label boxes
• Perfect code quality: KISS structure, deterministic data, clean imports, idiomatic plotnine

Weaknesses

• Label overlap in intersection zones: "Lentil Soup" and "Greek Yogurt" boxes visibly overlap; "Butterfly Pea Tea" and "Cronuts" are collision-risk close; triple-intersection cluster (Sourdough, Matcha, Cronuts, Dirty Soda, Greek Yogurt) is too dense — reduce item label font size from 16mm to 11-12mm and spread positions wider within each zone
• Bottom C-only labels (Takis y=-2.15, Boba Tea y=-2.40, Funyuns y=-2.15) are crowded — spread them further apart horizontally or increase vertical spacing
• DE-01 not at publication-ready level: polish could benefit from a thin INK_SOFT stroke on circle outlines and slightly more whitespace breathing room between circles and surrounding text elements

Issues Found

1. VQ-02 MODERATE OVERLAP: Label boxes collide in several intersection zones
   • Fix: Reduce geom_label size from 16mm to 11-12mm; spread item coordinates further apart within each zone; consider spreading bottom items (Takis/Boba Tea/Funyuns) with larger x-spacing (e.g., -0.9, 0.0, 0.9 instead of -0.65, 0.00, 0.65)
2. DE-01 MODERATE: Design is above defaults but not publication-ready
   • Fix: Add a thin INK_SOFT stroke to circle outlines for crispness (color=INK_SOFT at size=1.0); increase horizontal whitespace for category labels placed outside circles

AI Feedback for Next Attempt

The food trend taxonomy concept and editorial aesthetic are excellent — keep the serif typography, color-coded category labels, and geom_label approach. The primary fix needed is label crowding: reduce item label size to 11-12mm and spread intersection-zone positions so label boxes don't touch. For the bottom C-only cluster, widen the x-coordinates. For design polish, consider adding a thin INK_SOFT circle outline stroke to give the Venn rings crisper definition.

Verdict: REJECTED

[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 (plot-light.png): Warm off-white #FAF8F1 background. Bold italic serif title "Food Trend Taxonomy" in near-black #1A1A17 sits at the top, with the spec subtitle "venn-labeled-items · python · plotnine · anyplot.ai" in muted ink directly below — both fully readable. Three overlapping circles filled with Imprint palette colors: #009E73 green (Peak Instagram), #C475FD lavender (Actually Nutritious), #4467A3 blue (Surprisingly Addictive) at alpha=0.22, giving natural overlap blending. Bold color-matched category labels in serif outside each circle. 17 food items rendered as geom_label boxes with #FFFDF6 elevated background and no visible border, distributed across all 7 zones. All text is readable against the light background; label-box overlaps are invisible because all boxes share the same light elevated background color.

Dark render (plot-dark.png): Warm near-black #1A1A17 background. Title in near-white #F0EFE8 and muted subtitle are both clearly readable — no dark-on-dark failures on chrome elements. Data colors are identical to the light render: #009E73, #C475FD, #4467A3 circles unchanged. Category labels retain their Imprint palette hues. Item label boxes use dark elevated background #242420, which makes two label-box collisions visible: "Butterfly Pea Tea" appears as "Butterfly Pea" (the word "Tea" covered by the adjacent "Cronuts" label box), and "Lentil Soup" appears as "til Soup" (the "Len" portion covered by the "Greek Yogurt" label box). All other 15 items are fully readable. No dark-on-dark failure for title or category labels.

Both paragraphs are required. A review that only describes one render is invalid.

Score: 88/100

Category	Score	Max
Visual Quality	26	30
Design Excellence	15	20
Spec Compliance	15	15
Data Quality	15	15
Code Quality	10	10
Library Mastery	7	10
Total	88	100

Visual Quality (26/30)

• VQ-01: Text Legibility (7/8) — Font sizes explicitly set throughout (item labels 11pt, category labels 18pt, title 26pt, subtitle 14pt). Well-proportioned in light render. Dark render loses 1pt due to overlap-induced partial obscuring of two item labels.
• VQ-02: No Overlap (3/6) — Dark render: "Butterfly Pea Tea" truncated to "Butterfly Pea" and "Lentil Soup" truncated to "til Soup" by adjacent dark label boxes. Light render looks clean because all boxes share the same elevated background color masking the collision.
• VQ-03: Element Visibility (6/6) — Circles clearly visible with alpha=0.22. Label boxes legible. Category labels prominent.
• VQ-04: Color Accessibility (2/2) — Imprint palette colors are CVD-safe. Semi-transparent fills provide visual distinction. No red-green sole signal.
• VQ-05: Layout & Canvas (4/4) — Square 2400×2400 canvas correct for symmetric Venn. Canvas gate passed. Diagram fills canvas well. No edge clipping.
• VQ-06: Axis Labels & Title (2/2) — N/A for Venn diagram (no traditional axes). Full credit; category names serve as semantic zone labels.
• VQ-07: Palette Compliance (2/2) — First circle #009E73, second #C475FD, third #4467A3 (Imprint positions 1–3). Light bg #FAF8F1, dark bg #1A1A17. Theme-adaptive chrome correct in both renders.

Design Excellence (15/20)

• DE-01: Aesthetic Sophistication (6/8) — Strong editorial design: italic bold serif title, color-matched bold category labels, geom_label boxes with label_size=0 (no visible border). Witty "Food Trend Taxonomy" framing fits the WIRED Chartgeist brief. Clearly above library defaults.
• DE-02: Visual Refinement (5/6) — No grid, no axes, no spines (all correct for this chart type). Generous whitespace. Semi-transparent circles with well-chosen alpha. Minimal gap: no explicit panel margin tuning.
• DE-03: Data Storytelling (4/6) — Category names are witty and editorial. Item placements culturally accurate (Sourdough/Matcha in triple intersection delivers the insight). Color hierarchy guides navigation. Missing: explicit visual emphasis on the ABC zone to direct viewer attention to the "sweet spot."

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) — Three-circle symmetric Venn with labeled items in zones. Correct chart type.
• SC-02: Required Features (4/4) — Three circles, semi-transparent fills, items in all 7 zones, category names outside circles, gridless background, editorial title.
• SC-03: Data Mapping (3/3) — Items correctly placed in assigned Venn zones using geometric coordinate calculations.
• SC-04: Title & Legend (3/3) — "Food Trend Taxonomy · venn-labeled-items · python · plotnine · anyplot.ai" format correct (split across two geom_text layers). No legend needed.

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6) — All 7 interior Venn zones populated, 2–3 items per zone.
• DQ-02: Realistic Context (5/5) — Contemporary food-trend taxonomy; relatable, neutral, real items.
• DQ-03: Appropriate Scale (4/4) — Item placements culturally accurate: Sourdough/Matcha in triple intersection, Sardines/Kimchi in Actually Nutritious, Takis/Boba Tea in Surprisingly Addictive.

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) — Flat: imports → tokens → geometry → data → plot → save. No functions or classes.
• CQ-02: Reproducibility (2/2) — All data deterministic (hardcoded coordinates). No random generation needed.
• CQ-03: Clean Imports (2/2) — All 12 plotnine imports used. No unused imports.
• CQ-04: Code Elegance (2/2) — Consolidated category labels into single DataFrame. Clean, no over-engineering.
• CQ-05: Output & API (1/1) — Saves as plot-{THEME}.png. Current plotnine 0.15.7 API.

Library Mastery (7/10)

• LM-01: Idiomatic Usage (4/5) — ggplot() grammar with layered geoms, scale_fill_identity() / scale_color_identity() for direct hex mapping, coord_fixed() for equal aspect ratio. geom_polygon for circles is the correct plotnine idiom (no geom_circle). Slightly verbose circle geometry construction.
• LM-02: Distinctive Features (3/5) — geom_label with label_size=0 (no border) and label_padding for floating boxes is a plotnine/ggplot2-specific API. scale_fill_identity() and coord_fixed() are idiomatic ggplot idioms, though not unique.

Score Caps Applied

• None

Strengths

• Correct Imprint palette (positions 1–3) with beautiful semi-transparent circle fills that blend naturally in overlaps
• Editorial serif typography with italic bold title — accurately captures the WIRED Chartgeist spec aesthetic
• Color-matched bold category labels using scale_color_identity() — elegant redundant encoding
• geom_label with label_size=0 produces clean borderless floating boxes for item labels
• All 7 Venn zones populated with culturally plausible food-trend items; Sourdough/Matcha in triple intersection is the insight
• Perfect theme adaptation: PAGE_BG, ELEVATED_BG, INK, INK_SOFT, INK_MUTED all flip correctly

Weaknesses

• Dark render shows two label-box collisions: "Butterfly Pea Tea" → "Butterfly Pea" (covered by Cronuts box) and "Lentil Soup" → "til Soup" (covered by Greek Yogurt box). Fix: reduce geom_label size from 11 to ~9, and/or shift zone-A∩C item coordinates to increase spacing (e.g., Cronuts to (-1.05, -0.65), Dirty Soda to (-1.05, -1.10)) and zone-B item Lentil Soup to (2.35, -0.35).
• No visual emphasis on the ABC triple-intersection zone; consider slightly larger or bolder labels for Sourdough/Matcha to guide the viewer to the insight.

Issues Found

1. VQ-02 PARTIAL: Label-box overlap in dark render obscures "Tea" from "Butterfly Pea Tea" and "Len" from "Lentil Soup"
   • Fix: Shrink item label font (size=9), adjust coordinates for the two overlapping pairs as noted above

AI Feedback for Next Attempt

If repair is needed: reduce geom_label item label size from 11 to 9, and nudge overlapping item coordinates — move zone A∩C items (Cronuts, Dirty Soda) slightly further left/down and zone B item Lentil Soup slightly further right/down to prevent the dark-mode elevated box collisions. Optionally add a subtle visual accent (slightly larger or bolder text, or a thin ring annotation) on the Sourdough/Matcha triple-intersection labels to highlight the editorial insight.

Verdict: APPROVED