feat(bokeh): implement scatter-basic

[github-actions]

Implementation: scatter-basic - python/bokeh

Implements the python/bokeh version of scatter-basic.

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

Parent Issue: #611

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

Light render (plot-light.png): Warm off-white background (#FAF8F1) — correct anyplot light surface. Bold centered title "scatter-basic · python · bokeh · anyplot.ai" in dark ink (#1A1A17), clearly readable. Y-axis label "Exam Score (%)" and x-axis label "Study Hours per Day" in dark ink; tick labels in INK_SOFT (#4A4A44). 180 scatter points in Imprint brand green (#009E73), size=28, alpha=0.7, with a background-toned marker edge ring for subtle separation. Both x- and y-axis grids at ~10% opacity — subtle but functional. Thin outline frame visible around the plot data area (outline_line_color=INK_SOFT). All text clearly readable against the cream background — no light-on-light issues.

Dark render (plot-dark.png): Warm near-black background (#1A1A17) — correct anyplot dark surface. Title and axis labels flip to light (#F0EFE8); tick labels to #B8B7B0. Grid maintains ~10% opacity with the INK token. Data points remain identical Imprint brand green (#009E73) — data colors unchanged between themes as required. The marker edge stroke (line_color=PAGE_BG=#1A1A17) becomes invisible on the dark surface, which is an acceptable single-theme tradeoff. All text clearly readable against the near-black background — no dark-on-dark failures detected. Brand green is fully visible.

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

Score: 87/100

Category	Score	Max
Visual Quality	29	30
Design Excellence	11	20
Spec Compliance	15	15
Data Quality	15	15
Code Quality	10	10
Library Mastery	7	10
Total	87	100

Visual Quality (29/30)

• VQ-01: Text Legibility (7/8) — All text readable in both themes at canonical bokeh sizes (50pt title, 42pt axis labels, 34pt tick labels). Tick labels at 34pt are slightly generous but within spec.
• VQ-02: No Overlap (6/6) — No problematic text or element overlaps; alpha=0.7 manages point overlap at 180-point density.
• VQ-03: Element Visibility (6/6) — Markers clearly visible in both themes; size=28 appropriate for medium density.
• VQ-04: Color Accessibility (2/2) — Single Imprint green series, CVD-safe, no red-green signal issue.
• VQ-05: Layout & Canvas (4/4) — 3200×1800 confirmed (no canvas gate failure). Generous min_border values prevent label clipping.
• VQ-06: Axis Labels & Title (2/2) — Title matches required format exactly; Y-axis includes unit (%). Both labels descriptive.
• VQ-07: Palette Compliance (2/2) — First series = #009E73; backgrounds #FAF8F1 / #1A1A17 correct; full theme-adaptive chrome.

Design Excellence (11/20)

• DE-01: Aesthetic Sophistication (5/8) — Imprint palette, theme-adaptive chrome, and subtle marker border ring demonstrate intentional design. Above the 4-pt default, but no exceptional hierarchy or emphasis techniques applied.
• DE-02: Visual Refinement (3/6) — Both-axis grid is appropriately subtle for scatter. However, p.outline_line_color = INK_SOFT keeps a visible box frame around the data area; style guide prefers removing the top/right border for a cleaner look. Whitespace is generous.
• DE-03: Data Storytelling (3/6) — Clear positive correlation story from the data alone. No trend line, highlighted outlier, or annotation to create a visual focal point and guide the viewer.

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) — Correct 2D scatter using Bokeh scatter glyphs.
• SC-02: Required Features (4/4) — alpha=0.7, descriptive axis labels, grid lines, 180 points (within 50–500 range), moderate positive correlation.
• SC-03: Data Mapping (3/3) — Study hours on x, exam scores on y; full range visible; seed-controlled randomness.
• SC-04: Title & Legend (3/3) — Title exactly matches required format; no legend (single series — correct omission).

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6) — All core scatter features: point cloud, correlation pattern, spread, alpha for overlap.
• DQ-02: Realistic Context (5/5) — Study hours vs exam scores — neutral, universally relatable academic context with plausible values.
• DQ-03: Appropriate Scale (4/4) — Sensible ranges (0.8–9.6 hrs, 18–99%); correlation r≈0.7 appropriate for the domain.

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) — Flat procedural code, no functions or classes, clear sequential flow.
• CQ-02: Reproducibility (2/2) — np.random.seed(42) ensures deterministic output.
• CQ-03: Clean Imports (2/2) — All imports used; sys.path manipulation necessary to prevent self-shadowing.
• CQ-04: Code Elegance (2/2) — Appropriate complexity, no fake UI; CDP viewport override is a valid technique for exact canvas sizing.
• CQ-05: Output & API (1/1) — Saves plot-{THEME}.png and plot-{THEME}.html; current Bokeh API throughout.

Library Mastery (7/10)

• LM-01: Idiomatic Usage (4/5) — ColumnDataSource, figure() with min_border, Selenium screenshot — all idiomatic per bokeh.md. Minor: --window-size uses H+200 with CDP override rather than the canonical driver.set_window_size(W, H) call.
• LM-02: Distinctive Features (3/5) — HoverTool with formatted tooltips and HTML export are Bokeh's key differentiators, both correctly implemented.

Score Caps Applied

• None

Strengths

• Correct Imprint brand green (#009E73) as sole data color, identical between both renders
• Full theme-adaptive chrome — backgrounds, text, tick labels, and grid all flip correctly between light (#FAF8F1) and dark (#1A1A17)
• Realistic and neutral academic dataset (study hours vs exam scores) with good positive correlation and natural scatter
• Canonical bokeh.md font sizes used (50pt title, 42pt axis labels, 34pt tick labels)
• All spec requirements met: alpha=0.7, grid lines, descriptive axis labels, 180 points within 50–500 range
• HoverTool and HTML export correctly leveraged as Bokeh-distinctive interactive features

Weaknesses

• Bokeh outline frame (p.outline_line_color = INK_SOFT) keeps a visible box around the plot area — style guide prefers removing the border for a cleaner L-shape or borderless look (set p.outline_line_color = None or "rgba(0,0,0,0)")
• No visual storytelling beyond raw scatter — a trend line or annotation on a key outlier would elevate DE-03 and guide the viewer
• Marker edge stroke (line_color=PAGE_BG) provides definition in light mode but becomes invisible in dark mode; a theme-adaptive INK_SOFT or light-colored stroke would give consistent marker separation in both renders

Issues Found

1. DE-02 MEDIUM: Visible outline frame around plot area from outline_line_color=INK_SOFT
   • Fix: Set p.outline_line_color = None to remove the box and achieve the cleaner anyplot aesthetic
2. DE-03 LOW: No visual focal point or trend guidance
   • Fix: Add a linear regression line using p.line() with the neutral anchor color, or annotate the correlation coefficient in a corner

AI Feedback for Next Attempt

Remove the plot outline frame (p.outline_line_color = None) for a cleaner look. Consider adding a subtle trend line (linear regression) using p.line() with the neutral/muted anchor to create a visual focal point and strengthen data storytelling. The marker edge could use line_color=INK_SOFT instead of PAGE_BG so it remains visible in dark mode.

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 (plot-light.png): Background is warm off-white (#FAF8F1) — correct. Title "scatter-basic · python · bokeh · anyplot.ai" is centered in bold dark text, fully readable at the top. Y-axis label "Exam Score (%)" is readable in dark ink on the left side. Y-axis tick labels (10–100) are visible in INK_SOFT. Data: brand green #009E73 scatter markers with alpha=0.7 and subtle INK_SOFT stroke — the Imprint first-series color is correctly applied. A dashed gray trend line shows the positive correlation. Grid at alpha=0.10 is very subtle. Critical failure: X-axis tick labels are compressed to the very bottom edge with almost no margin, and X-axis label "Study Hours per Day" is completely absent — zero visible pixels of this 42pt text element are present in the saved PNG. The canvas was saved at 3200×1657, 143 px short of the required 1800 height, and the bottom border (min_border_bottom=160) falls outside the saved bounding box.

Dark render (plot-dark.png): Background is warm near-black (#1A1A17) — correct. Title and Y-axis label render in light cream/off-white text against the dark surface — fully readable. Data colors are identical to the light render: same #009E73 green markers. Chrome tokens are all theme-adaptive — no dark-on-dark failures for visible elements. Same critical failure as light render: X-axis label "Study Hours per Day" is completely absent, clipped at the bottom canvas edge. The canvas height shortfall of 143 px is theme-independent — it affects both renders equally.

Both paragraphs confirm the same AR-09 violation: the X-axis label is missing from both renders due to canvas height clipping. The rest of the chart is well-rendered in both themes.

Score: 0/100

Category	Score	Max
Visual Quality	16	30
Design Excellence	12	20
Spec Compliance	15	15
Data Quality	14	15
Code Quality	10	10
Library Mastery	9	10
Total (raw)	76	100
After AR-09	0	100

Visual Quality (16/30)

• VQ-01: Text Legibility (0/8) — X-axis label "Study Hours per Day" is completely clipped at bottom canvas edge in both renders; zero visible pixels. Score drops to 0 per AR-09 / Theme-Readability rules.
• VQ-02: No Overlap (6/6) — No text overlaps. Scatter markers overlap slightly in dense regions but alpha=0.7 maintains distinguishability.
• VQ-03: Element Visibility (5/6) — 180 points at size=28, alpha=0.7: markers prominent and individually distinguishable. Slightly large for the dense upper-right cluster region but acceptable.
• VQ-04: Color Accessibility (2/2) — Single Imprint green series, ink-soft stroke for definition. CVD-safe.
• VQ-05: Layout & Canvas (0/4) — Canvas gate triggered: actual 3200×1657 vs required 3200×1800. Hard 0 per canvas gate rule.
• VQ-06: Axis Labels & Title (1/2) — Y-axis "Exam Score (%)" with units present and readable. X-axis label clipped off canvas — partial credit only.
• VQ-07: Palette Compliance (2/2) — First series #009E73, backgrounds #FAF8F1/#1A1A17, all chrome tokens theme-adaptive in both renders.

Design Excellence (12/20)

• DE-01: Aesthetic Sophistication (4/8) — Well-configured design: Imprint brand green, clean chrome, marker strokes. Looks like a thoughtfully configured library default, not exceptional.
• DE-02: Visual Refinement (4/6) — Subtle grid at alpha=0.10, outline_line_color=None removes the figure box border, markers have definition strokes. Genuine refinement above defaults.
• DE-03: Data Storytelling (4/6) — The dashed trend line guides the viewer to the positive correlation pattern immediately. Goes beyond displaying raw data.

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) — Correct 2D scatter plot.
• SC-02: Required Features (4/4) — Alpha transparency, axis labels (title, grid), 180 points, r~0.7 positive correlation. Trend line is a bonus.
• SC-03: Data Mapping (3/3) — X=study hours (independent), Y=exam scores (dependent). Correct.
• SC-04: Title & Legend (3/3) — Title is exactly "scatter-basic · python · bokeh · anyplot.ai". Single series, no legend needed.

Data Quality (14/15)

• DQ-01: Feature Coverage (5/6) — Shows scatter pattern, positive correlation, spread/noise around trend. Spread of individual points visible, though outliers aren't explicitly highlighted.
• DQ-02: Realistic Context (5/5) — Study hours vs exam scores: real, comprehensible, neutral educational scenario.
• DQ-03: Appropriate Scale (4/4) — Study hours 0.8–9.6/day, scores 18–99%, r~0.7. All factually plausible.

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) — Linear: imports → data → figure → styling → save. No functions/classes.
• CQ-02: Reproducibility (2/2) — np.random.seed(42) set.
• CQ-03: Clean Imports (2/2) — All imports used.
• CQ-04: Code Elegance (2/2) — Clean, Pythonic. HoverTool is legitimate Bokeh feature, not fake functionality.
• CQ-05: Output & API (1/1) — Saves plot-{THEME}.png and plot-{THEME}.html. Current Bokeh 3.x API.

Library Mastery (9/10)

• LM-01: Idiomatic Usage (5/5) — ColumnDataSource as data model, figure() with canonical settings, HoverTool bound to scatter renderer, output_file/save + Selenium screenshot. Exactly matches the bokeh.md guide.
• LM-02: Distinctive Features (4/5) — HoverTool with formatted tooltips ("{0.1} hrs", "{0.0}%"), ColumnDataSource pattern, dual-artifact output (HTML interactive + PNG static). Distinctively Bokeh features.

Score Caps Applied

• AR-09 VIOLATION: Score = 0 — X-axis label "Study Hours per Day" clipped at bottom canvas edge in both renders. Canvas is 143 px short (3200×1657 actual vs 3200×1800 required).

Strengths

• Brand green #009E73 correctly used as first (and only) series throughout both renders
• Trend line adds meaningful data storytelling — shows positive correlation direction
• Both themes correctly implemented with proper Imprint surface colors (#FAF8F1 / #1A1A17)
• ColumnDataSource + HoverTool is idiomatic Bokeh — HTML artifact retains interactivity
• Data scenario (study hours vs exam scores) is realistic, neutral, and well-scaled
• Typography explicitly set at canonical bokeh.md values (50pt / 42pt / 34pt)
• np.random.seed(42) ensures reproducibility; KISS structure maintained

Weaknesses

• Canvas dimensions drifted from required target. Actual: 3200×1657. Closest valid target: 3200×1800 (±16 px tolerance). Signed delta: +0 × -143 — height is 143 px short. Most likely cause: bokeh toolbar adding ~30-50 px above the figure. Set toolbar_location=None. Re-render at exactly 3200×1800; the post-render gate enforces this.
• AR-09 VIOLATION: X-axis label "Study Hours per Day" is completely absent from both light and dark renders — clipped at the bottom canvas edge. The canvas is 143 px short, the min_border_bottom=160 reservation falls outside the saved PNG bounding box. Important: toolbar_location=None is already set in the code — the toolbar is NOT the cause of the 143 px height shortfall. The repair must find and fix the actual root cause (likely headless Chrome --window-size setting the outer window size including OS chrome, not the viewport content area — causing the actual render to be shorter than requested).
• X-axis tick labels at the bottom appear extremely compressed to the canvas edge — confirming the bottom border region is partially clipped even for the tick labels.

Issues Found

1. AR-09 (canvas height / x-axis label clipping): Canvas renders at 3200×1657 instead of 3200×1800; x-axis label "Study Hours per Day" is entirely missing from both renders.
   • Root cause is NOT the toolbar (toolbar_location=None is already set). The --window-size Chrome flag sets the outer window, not the viewport — headless Chrome still consumes some height for internal layout. Fix: use Selenium/CDP Emulation.setDeviceMetricsOverride for exact viewport dimensions, or adjust the window size height upward to compensate for the overhead.
2. VQ-05 (canvas gate): Direct consequence of AR-09 — canvas height is 143 px short.

AI Feedback for Next Attempt

The implementation is solid in almost every dimension — palette, chrome tokens, data scenario, code structure, HoverTool usage — but it fails AR-09 due to the canvas height being 143 px short (3200×1657 vs 3200×1800). The x-axis label "Study Hours per Day" is completely absent from both renders because it falls below the truncated canvas boundary. Fix ONLY the canvas height issue: toolbar_location=None is already in the code so the toolbar isn't the cause. The headless Chrome --window-size flag controls the outer browser window, not the raw viewport — use the Selenium CDP DevTools API or another exact-dimension mechanism to ensure the screenshot captures exactly 3200×1800 pixels. Once the canvas is the right size, the bottom border reservation (min_border_bottom=160) will show the x-axis label and the score should rise well above the approval threshold for this attempt.

Verdict: REJECTED

[github-actions]

🔧 AI Review Produced No Score — Auto-Retrying

The Claude Code Action ran but didn't write quality_score.txt. Auto-retrying review once...

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🤖 impl-review

[claude]

AI Review - Attempt 2/3

Image Description

Light render (plot-light.png): Warm off-white background consistent with #FAF8F1. Title "scatter-basic · python · bokeh · anyplot.ai" is bold, centered, and readable in dark ink at the top. Y-axis label "Exam Score (%)" is visible in dark ink along the left edge. Y-axis tick labels (20–100) are readable. The 180 scatter points render in brand green #009E73 with alpha=0.7 and a subtle dashed trend line in INK_SOFT showing positive correlation. Grid lines are subtle (both axes, ~10% alpha). However, the x-axis tick labels (0–10 range) and "Study Hours per Day" axis label are MISSING — clipped at the canvas bottom edge. The PNG is 3200×1657 (confirmed by canvas gate), and the bottom 143px of the 1800px Bokeh figure — which contains the min_border_bottom=160 x-axis reserved area — falls outside the screenshot viewport. All text present within the canvas is readable against the light background.

Dark render (plot-dark.png): Warm near-black background consistent with #1A1A17. Title readable in light text (#F0EFE8). Y-axis tick labels readable in #B8B7B0 (INK_SOFT). Scatter points remain #009E73 — identical to light render, as required. No dark-on-dark failures for the visible content: light text on near-black background passes the dark theme readability check. Same AR-09 clipping issue at canvas bottom — x-axis tick labels and axis title absent from the PNG. Both renders have the same height deficit; the fix must address the Selenium viewport capture, not a theme-specific rendering path.

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

Score: 0/100

Category	Score	Max
Visual Quality	0	30
Design Excellence	12	20
Spec Compliance	15	15
Data Quality	14	15
Code Quality	10	10
Library Mastery	8	10
Total	0	100

Score zeroed by AR-09 (edge clipping). Hypothetical score without AR-09/canvas failure: ~83/100.

Visual Quality (0/30)

• VQ-01: Text Legibility (0/8) — AR-09: x-axis tick labels and axis title clipped at canvas bottom
• VQ-02: No Overlap (6/6) — no text or data overlap in visible area
• VQ-03: Element Visibility (5/6) — 180 pts, size=28, alpha=0.7 appropriate for this density
• VQ-04: Color Accessibility (2/2) — brand green CVD-safe, edge stroke aids definition
• VQ-05: Layout & Canvas (0/4) — canvas gate FAILED: actual 3200×1657, target 3200×1800
• VQ-06: Axis Labels & Title (2/2) — descriptive with units (correct if canvas were right)
• VQ-07: Palette Compliance (2/2) — brand green first, correct backgrounds, theme-adaptive chrome

Design Excellence (12/20)

• DE-01: Aesthetic Sophistication (5/8) — Imprint palette, trend line, marker edge stroke — above default but not publication-ready
• DE-02: Visual Refinement (4/6) — no outline box, subtle 10% alpha grid, generous border reserves
• DE-03: Data Storytelling (3/6) — trend line narrates positive correlation, limited additional emphasis

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) — correct scatter plot
• SC-02: Required Features (4/4) — alpha 0.7, grid, axis labels, 180 points
• SC-03: Data Mapping (3/3) — study hours on X, exam scores on Y
• SC-04: Title & Legend (3/3) — "scatter-basic · python · bokeh · anyplot.ai" ✓

Data Quality (14/15)

• DQ-01: Feature Coverage (5/6) — shows positive correlation with spread; data distribution adequate
• DQ-02: Realistic Context (5/5) — study hours vs exam scores: neutral, real-world education scenario
• DQ-03: Appropriate Scale (4/4) — study hours 0.8–9.6, exam scores 18–99, realistic ranges

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) — clean linear structure
• CQ-02: Reproducibility (2/2) — np.random.seed(42)
• CQ-03: Clean Imports (2/2) — all imports used
• CQ-04: Code Elegance (2/2) — clean, appropriate complexity
• CQ-05: Output & API (1/1) — saves plot-{THEME}.png and plot-{THEME}.html

Library Mastery (8/10)

• LM-01: Idiomatic Usage (4/5) — ColumnDataSource, HoverTool, Selenium pattern: idiomatic Bokeh
• LM-02: Distinctive Features (4/5) — HoverTool for interactive HTML, dual artifact output, Selenium rendering

Score Caps Applied

• AR-09 (edge clipping): Score forced to 0 — x-axis tick labels and "Study Hours per Day" axis title clipped at canvas bottom edge

Strengths

• Correct Imprint palette: brand green #009E73 as primary series, theme-adaptive backgrounds (#FAF8F1 / #1A1A17)
• All Bokeh chrome tokens properly wired: axis labels, tick labels, grid lines, background all use INK/INK_SOFT/PAGE_BG
• HoverTool added for interactive HTML artifact — a Bokeh-distinctive feature showcasing the library
• Dual HTML+PNG output via Selenium correctly implemented per bokeh.md pattern
• toolbar_location=None is already set; ColumnDataSource pattern; regression trend line; realistic data
• Seed(42) ensures reproducibility; clean KISS code structure; all imports used

Weaknesses

• Canvas dimensions drifted from required target. Actual: 3200×1657. Closest valid target: 3200×1800 (±16 px tolerance). Signed delta: +0 × -143 — height is 143 px short. Most likely cause: bokeh toolbar adding ~30-50 px above the figure. Set toolbar_location=None. Re-render at exactly 3200×1800; the post-render gate enforces this.
• AR-09: x-axis tick labels and "Study Hours per Day" axis label clipped at canvas bottom edge. The Bokeh figure renders at 1800px but Selenium captures only 1657px from the top, leaving the bottom 143px of the figure outside the saved PNG. The min_border_bottom=160 reserve for x-axis content leaves only ~17px in the screenshot (160−143=17), far less than the ~101px needed for 34pt tick labels + 42pt axis label. Fix options: (a) set Bokeh height=1900 and crop the screenshot to 1800px using Pillow after save; (b) inject document.body.style.margin='0'; document.body.style.padding='0' via driver.execute_script() before screenshotting; (c) use driver.find_element(By.CSS_SELECTOR, 'canvas').screenshot(...) to capture only the Bokeh canvas element.

Issues Found

1. AR-09 (EDGE CLIPPING): X-axis content clipped at canvas bottom — toolbar_location=None is set but Selenium still captures 1657px instead of 1800px. The HTML page wrapper likely adds padding/margin that shifts Bokeh canvas downward, pushing the bottom border outside the viewport.
   • Fix: After driver.get(...) and time.sleep(3), execute driver.execute_script("document.body.style.margin='0'; document.body.style.padding='0'; document.body.style.overflow='hidden';") then call driver.save_screenshot(...). Alternatively, render at height=1950 and PIL-crop to 3200×1800.
2. VQ-05 (CANVAS GATE): Hard zero — canvas must be exactly 3200×1800 ±16px.

AI Feedback for Next Attempt

The implementation is strong (hypothetical ~83 without the canvas issue) — palette, chrome, interactivity, code quality all solid. The single blocker is the Selenium viewport not capturing the full 1800px height. toolbar_location=None is already set, so the cause is HTML page chrome (body margin/padding). Before screenshotting, inject JS to zero out the body margin and hide overflow: driver.execute_script("document.body.style.margin='0';document.body.style.padding='0';document.body.style.overflow='hidden';"). If the height is still wrong, try rendering the figure at height=1950 and PIL-crop the saved PNG to exactly 3200×1800: from PIL import Image; img=Image.open(...); img.crop((0,0,3200,1800)).save(...). Keep all other aspects unchanged.

Verdict: REJECTED

[github-actions]

❌ AI Review Failed (auto-retry exhausted)

The AI review action completed but did not produce valid output files. Auto-retry already tried once.

What happened:

• The Claude Code Action ran
• No quality_score.txt file was created

Manual rerun:

gh workflow run impl-review.yml -f pr_number=9424

---

🤖 impl-review

[claude]

AI Review - Attempt 2/3

Image Description

Light render (plot-light.png): Scatter plot on a warm off-white #FAF8F1 background with 180 green (#009E73) semi-transparent dots (alpha=0.7) showing study hours vs. exam scores. A dashed trend line (INK_SOFT color, 50% alpha) runs diagonally, clearly indicating positive correlation. The title "scatter-basic · python · bokeh · anyplot.ai" is bold and centered at the top. The Y-axis label "Exam Score (%)" is readable in dark ink. X-axis tick numbers (1–9) are visible at the bottom. However, the X-axis label "Study Hours per Day" is completely absent — it is clipped at the bottom canvas edge and not visible in the render. Legibility verdict: FAIL — X-axis label missing due to canvas height deficit.

Dark render (plot-dark.png): The same scatter on a warm near-black #1A1A17 background. Data dot color is identical (#009E73 brand green), confirming Imprint palette consistency across themes. Chrome flips correctly — title appears in light cream text, Y-axis label and tick labels render in light-colored INK_SOFT tokens. Grid lines are subtle. No dark-on-dark text failures for visible elements. However, the X-axis label "Study Hours per Day" is again completely absent, clipped at the bottom canvas edge. Legibility verdict: FAIL — X-axis label missing in both renders.

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

Score: 0/100

⚠️ AR-09 AUTO-REJECT: X-axis label "Study Hours per Day" is clipped at the bottom canvas edge in both renders (pixels missing, element entirely absent).

Category	Score	Max
Visual Quality	21	30
Design Excellence	10	20
Spec Compliance	14	15
Data Quality	15	15
Code Quality	10	10
Library Mastery	7	10
Total (indicative)	77	100
Final Score (AR-09)	0	100

Indicative scores shown for repair loop guidance; final score is 0 due to AR-09.

Visual Quality (21/30)

• VQ-01: Text Legibility (5/8) — All font sizes explicitly set (50pt title, 42pt axis labels, 34pt ticks). Title, Y-axis label, and tick labels readable in both themes. X-axis label "Study Hours per Day" absent from both renders (clipped at bottom canvas edge) — -3 pts.
• VQ-02: No Overlap (5/6) — 180 points with alpha=0.7 handle overlap well; dense central cluster has some overplotting but no text overlaps. -1 for modest scatter density overlap.
• VQ-03: Element Visibility (6/6) — size=28 is appropriate for 180 medium-density points; trend line clearly visible in both themes.
• VQ-04: Color Accessibility (2/2) — Single brand green series with INK_SOFT trend line; CVD-safe, adequate contrast on both surfaces.
• VQ-05: Layout & Canvas (0/4) — Canvas gate FAILED. Hard rule: 0/4.
• VQ-06: Axis Labels & Title (1/2) — Y-axis "Exam Score (%)" is descriptive with units. X-axis label missing from renders (clipped). Half credit.
• VQ-07: Palette Compliance (2/2) — First and only series is #009E73 (brand green) ✓. Plot backgrounds are #FAF8F1 (light) / #1A1A17 (dark) ✓. All theme-adaptive chrome tokens applied correctly to visible elements ✓.

Design Excellence (10/20)

• DE-01: Aesthetic Sophistication (4/8) — Competent scatter with trend line and INK_SOFT marker edges adding subtle definition. Intentional dashed trend line communicates correlation. Not exceptional but above generic default.
• DE-02: Visual Refinement (3/6) — outline_line_color=None removes plot box frame. Grid at 10% opacity is appropriately subtle. Seamless background/border fill. Modest but meaningful refinements above default.
• DE-03: Data Storytelling (3/6) — Dashed trend line communicates the positive correlation direction, adding analytical value beyond raw data display. Study hours→exam scores framing carries a natural insight.

Spec Compliance (14/15)

• SC-01: Plot Type (5/5) — Correct scatter plot ✓
• SC-02: Required Features (3/4) — alpha=0.7 moderate transparency ✓, grid lines ✓, descriptive title ✓; X-axis label present in code but absent from rendered output (clipped). -1 pt.
• SC-03: Data Mapping (3/3) — X=study hours, Y=exam scores; full data range displayed ✓
• SC-04: Title & Legend (3/3) — Title is "scatter-basic · python · bokeh · anyplot.ai" ✓. No legend needed (single series) ✓.

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6) — 180 points with moderate positive correlation and noise; all aspects of a scatter plot shown ✓
• DQ-02: Realistic Context (5/5) — Study hours vs. exam scores: real, comprehensible, neutral academic scenario ✓
• DQ-03: Appropriate Scale (4/4) — Study hours 0.8–9.6 hr/day; exam scores 18–99%; sensible, realistic values ✓

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) — Clean flat script: imports → data → plot → save. sys.path manipulation is necessary to prevent bokeh.py from shadowing itself ✓
• CQ-02: Reproducibility (2/2) — np.random.seed(42) ✓
• CQ-03: Clean Imports (2/2) — All imports actively used ✓
• CQ-04: Code Elegance (2/2) — No fake UI elements; HoverTool is genuine Bokeh interactive feature (not fake functionality) ✓
• CQ-05: Output & API (1/1) — Saves plot-{THEME}.png and plot-{THEME}.html ✓

Library Mastery (7/10)

• LM-01: Idiomatic Usage (4/5) — ColumnDataSource used correctly; figure() with proper axis ranges; output_file/save pattern. HoverTool integration is idiomatic. Above default.
• LM-02: Distinctive Features (3/5) — HoverTool (Bokeh's interactive scatter tooltip — HTML only, PNG stays clean) and HTML artifact as interactive catalog output are genuinely distinctive Bokeh features. Above default.

Score Caps Applied

• AR-09 AUTO-REJECT — X-axis label "Study Hours per Day" clipped at bottom canvas edge in both renders. Score = 0.
• Canvas Gate (VQ-05=0) — Actual canvas: 3200×1657 vs required 3200×1800 (−143 px height). Canvas gate verbatim: Canvas dimensions drifted from required target. Actual: 3200×1657. Closest valid target: 3200×1800 (±16 px tolerance). Signed delta: +0 × -143 — height is 143 px short. Most likely cause: bokeh toolbar adding ~30-50 px above the figure. Set toolbar_location=None. Re-render at exactly 3200×1800; the post-render gate enforces this.

Strengths

• Excellent code quality: clean flat structure, seed set, all imports used, no fake UI
• Perfect data quality: study hours vs. exam scores scenario is realistic, neutral, appropriately scaled
• Correct Imprint palette and theme-adaptive chrome throughout all visible elements
• Trend line is a thoughtful addition that communicates the positive correlation direction
• HoverTool and HTML output leverage Bokeh's distinctive interactive capabilities
• Marker edge styling (INK_SOFT line_color) adds subtle professional definition

Weaknesses

• Canvas dimensions drifted from required target. Actual: 3200×1657. Closest valid target: 3200×1800 (±16 px tolerance). Signed delta: +0 × -143 — height is 143 px short. Most likely cause: bokeh toolbar adding ~30-50 px above the figure. Set toolbar_location=None. Re-render at exactly 3200×1800; the post-render gate enforces this.
• AR-09 (X-axis label clipped at bottom canvas edge): The X-axis label "Study Hours per Day" is completely absent from both renders. Root cause: Selenium --window-size=3200,1800 sets the outer Chrome window size, but the inner viewport ends up ~143 px shorter (likely browser chrome overhead in headless mode). With the available viewport height at ~1657 px and the bokeh figure needing 1800 px, the bottom 143 px of the canvas — which contains the min_border_bottom=160 space for the x-axis label — is cut off by save_screenshot(). Fix: replace driver.save_screenshot() with driver.get_full_page_screenshot_as_png() (writes to a file via Path(f'plot-{THEME}.png').write_bytes(driver.get_full_page_screenshot_as_png())) which captures the entire page height rather than just the visible viewport. Alternatively, increase the Selenium window height to compensate: use --window-size=3200,1943 and driver.set_window_size(W, H+143) while keeping the bokeh figure at height=1800 — but this may misalign the canvas. The get_full_page_screenshot_as_png() approach is cleaner.

Issues Found

1. AR-09 (FATAL): X-axis label "Study Hours per Day" clipped at bottom canvas edge in both renders
   • Fix: Replace driver.save_screenshot(f'plot-{THEME}.png') with Path(f'plot-{THEME}.png').write_bytes(driver.get_full_page_screenshot_as_png())
2. Canvas height deficit (-143 px): Selenium viewport is 3200×1657 instead of 3200×1800
   • Root cause: --window-size sets outer window, inner viewport is ~143 px smaller in headless Chrome
   • Fix (same as above): use full-page screenshot instead of viewport screenshot

AI Feedback for Next Attempt

The canvas size issue is the only critical failure. toolbar_location=None is already set — the canvas gate's suggested fix is already applied. The actual root cause is that Selenium's save_screenshot() captures only the visible viewport (which is ~143 px shorter than the outer window size), cutting off the x-axis label. Replace driver.save_screenshot(f'plot-{THEME}.png') with Path(f'plot-{THEME}.png').write_bytes(driver.get_full_page_screenshot_as_png()) — this method captures the full page content regardless of viewport size. All other aspects of the implementation are strong: correct palette, proper theme tokens, good data context, clean code, HoverTool integration. Fix only the screenshot method.

Verdict: REJECTED

[github-actions]

❌ AI Review Failed (auto-retry exhausted)

The AI review action completed but did not produce valid output files. Auto-retry already tried once.

What happened:

• The Claude Code Action ran
• No quality_score.txt file was created

Manual rerun:

gh workflow run impl-review.yml -f pr_number=9424

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🤖 impl-review