feat(highcharts): implement errorbar-basic

[github-actions]

Implementation: errorbar-basic - javascript/highcharts

Implements the javascript/highcharts version of errorbar-basic.

File: plots/errorbar-basic/implementations/javascript/highcharts.js

Parent Issue: #973

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

Light render (plot-light.png): The plot renders on a warm off-white background (~#FAF8F1). The title "errorbar-basic · javascript · highcharts · anyplot.ai" appears in bold dark text at the top, taking approximately 65% of the plot width. A subtitle "Error bars represent ± 1 standard deviation" appears below in smaller secondary text. The x-axis shows 8 temperature categories (20°C–50°C) with clearly readable tick labels; the y-axis shows "Enzyme Activity (nmol/min)" with tick values from 0 to 80. Eight data points are rendered in brand green (#009E73) as circular markers with a pageBg-colored ring. Error bar stems (vertical lines) and caps (horizontal lines at both ends) are drawn in the same brand green. The bell-curve pattern peaks at 37°C (~74.5). Horizontal-only grid lines are subtle. All text is clearly readable against the light background. Legibility verdict: PASS.

Dark render (plot-dark.png): The same chart renders on a warm near-black background (~#1A1A17). Title and subtitle text flip to light colors — the title is white/near-white and clearly readable. Axis labels, tick labels, and the y-axis title all use light-colored ink tokens readable against the dark surface. Data colors are identical to the light render: brand green (#009E73) markers and error bars. Grid lines appear as subtle light horizontal lines. No dark-on-dark failures observed. The brand green remains visible and prominent on the dark surface. Legibility verdict: PASS.

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

Score: 86/100

Category	Score	Max
Visual Quality	29	30
Design Excellence	11	20
Spec Compliance	15	15
Data Quality	14	15
Code Quality	10	10
Library Mastery	7	10
Total	86	100

Visual Quality (29/30)

• VQ-01: Text Legibility (7/8) — Title, subtitle, axis titles, and tick labels all readable in both themes; tokens correctly threaded through all chrome elements. Minor: y-axis label slightly tight at left margin but all pixels visible.
• VQ-02: No Overlap (6/6) — Eight well-spaced data points; no text/data collisions in either render.
• VQ-03: Element Visibility (6/6) — Markers (radius=7) appropriately prominent for 8 sparse data points; error bar stems and caps clearly visible at stroke-width=2.5.
• VQ-04: Color Accessibility (2/2) — Single series in brand green; no red-green sole-signal encoding.
• VQ-05: Layout & Canvas (4/4) — Canvas gate passed; landscape orientation appropriate; generous whitespace; no overflow.
• VQ-06: Axis Labels & Title (2/2) — X-axis "Temperature" and y-axis "Enzyme Activity (nmol/min)" are descriptive with units; required title format matches exactly.
• VQ-07: Palette Compliance (2/2) — First (only) series is #009E73; background is #FAF8F1 / #1A1A17; data colors identical across both renders; only chrome flips.

Design Excellence (11/20)

• DE-01: Aesthetic Sophistication (5/8) — Professional polish above default: transparent background, intentional typography hierarchy (title > subtitle > axis), marker styled with pageBg ring for definition. Good but not exceptional visual design.
• DE-02: Visual Refinement (3/6) — Legend disabled (single series), tooltip disabled, horizontal-only grid is appropriate restraint. No explicit spine removal configured, and the right/top axis border lines from Highcharts default remain.
• DE-03: Data Storytelling (3/6) — Subtitle contextualises the error bars ("± 1 SD") which guides the reader. Bell-curve story across temperatures is immediately apparent. No additional focal point emphasis or highlight annotation.

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) — Correct: scatter points with explicit error bar stems and caps. Workaround for core-only bundle (no highcharts-more) is valid and produces the correct visual result.
• SC-02: Required Features (4/4) — Visible caps at both ends of each error bar ✓; consistent error bar widths ✓; symmetric SD bars ✓; central mean markers ✓.
• SC-03: Data Mapping (3/3) — X-axis encodes temperature categories; y-axis encodes enzyme activity; all 8 measurement groups plotted.
• SC-04: Title & Legend (3/3) — Title is exactly "errorbar-basic · javascript · highcharts · anyplot.ai"; no legend (single series — correct).

Data Quality (14/15)

• DQ-01: Feature Coverage (5/6) — Demonstrates error bars with caps, central value markers, categorical x-axis, continuous y-axis, subtitle explaining error metric. Missing: no multi-series comparison (spec mentions it as an option); asymmetric error bars not explored — acceptable for a basic implementation.
• DQ-02: Realistic Context (5/5) — Enzyme kinetics across temperature is a canonical scientific scenario; peak at 37°C is biologically plausible; SD magnitudes are proportionate to the means.
• DQ-03: Appropriate Scale (4/4) — Activity values 18–75 nmol/min and SD ±2–6 are consistent and realistic for the domain.

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) — Flat procedural code; no functions or classes; data declared inline.
• CQ-02: Reproducibility (2/2) — All data hard-coded; fully deterministic; no RNG.
• CQ-03: Clean Imports (2/2) — No imports (Highcharts is a global); only window.ANYPLOT_TOKENS used.
• CQ-04: Code Elegance (2/2) — Render event correctly cleans up previous SVG elements before redrawing (_errorBars destroy loop); coordinate transform uses toPixels() correctly.
• CQ-05: Output & API (1/1) — Harness-managed output; current Highcharts 12.6.0 API; animation disabled in both required locations.

Library Mastery (7/10)

• LM-01: Idiomatic Usage (4/5) — Correct use of Highcharts.chart(), ANYPLOT_TOKENS, chart.backgroundColor: "transparent", credits disabled, animation disabled. Uses chart.type: "line" with lineWidth: 0 as a scatter workaround (slightly less idiomatic than type: "scatter", but functionally identical).
• LM-02: Distinctive Features (3/5) — Leverages Highcharts' SVG renderer API (c.renderer.path()), coordinate-space conversion (yAxis.toPixels()), plotLeft offset, and render event callbacks — all advanced, Highcharts-specific APIs that demonstrate genuine library knowledge.

Score Caps Applied

• None

Strengths

• Correct workaround for the highcharts-more constraint: uses SVG renderer paths + render event to draw error bars without the unavailable errorbar series type
• Full ANYPLOT_TOKENS integration: ink, inkSoft, pageBg, grid, palette all threaded correctly through every chrome element
• Both themes render without legibility failures; brand green reads well on both surfaces
• Biologically plausible dataset (enzyme kinetics) with appropriate SD magnitudes
• Clean SVG element lifecycle management (destroy-before-redraw pattern in render callback)
• Subtitle contextualises the error metric, improving interpretability

Weaknesses

• Design Excellence is below mid-range: top and right axis border lines from Highcharts default are present — configure plotBorderWidth or xAxis/yAxis lineWidth to remove top/right borders for a cleaner L-shaped frame
• No focal point or emphasis — consider highlighting the peak temperature (37°C) with a distinct annotation or subtle fill to guide the reader's eye
• chart.type should be "scatter" not "line" with lineWidth: 0 — scatter is more semantically correct for disconnected data points

Issues Found

1. DE-02 MODERATE: Highcharts default keeps a full axis box frame (all four sides). Removing the top and right axis lines would give the minimal L-shaped aesthetic the style guide prefers.
   • Fix: Add plotBorderWidth: 0 to chart options and remove the default axis lines on top/right via xAxis/yAxis configuration.
2. LM-01 MINOR: chart.type: "line" with lineWidth: 0 is a workaround — type: "scatter" is semantically correct for disconnected points and unlocks scatter-specific plotOptions.
   • Fix: Change type: "line" to type: "scatter" and move marker options to plotOptions.scatter.

AI Feedback for Next Attempt

Good structural foundation and correct ANYPLOT_TOKENS usage. For next attempt: (1) switch chart type to "scatter" for semantic correctness, (2) remove top/right axis border lines for a cleaner L-shaped frame (plotBorderWidth: 0 + lineWidth on axes), (3) add a subtle focal point — e.g. annotate or use a slightly larger marker at the peak 37°C point — to lift DE-03 score.

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): Warm off-white (#FAF8F1) background — correct Imprint light surface. The chart shows enzyme activity (nmol/min) vs temperature (20°C–50°C) as a scatter plot with manually drawn SVG error bars. All 8 data points and their error bars/T-caps render in brand green #009E73. The peak at 37°C uses an enlarged marker (radius 11) to differentiate it visually, with an annotation "← Optimal: 37°C" to the right. Title at 22px spans ~65% of width. Subtitle "Error bars represent ± 1 standard deviation" at 14px. Y-axis label "Enzyme Activity (nmol/min)" and X-axis "Temperature" both at 16px. Tick labels at 14px. Subtle horizontal grid lines in the theme grid color. All text clearly readable against the light background; no overflow or overlap.

Dark render (plot-dark.png): Warm near-black (#1A1A17) background — correct Imprint dark surface. All data colors are identical to the light render — same #009E73 for markers and error bars (only chrome flips). Title, subtitle, axis labels, tick labels, and annotation all render in light text (t.ink/t.inkSoft tokens resolving to #F0EFE8/#B8B7B0). No dark-on-dark issues. Annotation and peak marker annotation remain visible. All text is readable against the dark background.

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

Score: 92/100

Category	Score	Max
Visual Quality	30	30
Design Excellence	14	20
Spec Compliance	15	15
Data Quality	15	15
Code Quality	10	10
Library Mastery	8	10
Total	92	100

Visual Quality (30/30)

• VQ-01: Text Legibility (8/8) — All sizes explicitly set: title 22px, axis titles 16px, tick labels 14px, annotation 13px. Well-proportioned in both themes, title ~65% of width.
• VQ-02: No Overlap (6/6) — No overlapping elements. Annotation sits cleanly to the right of the peak marker.
• VQ-03: Element Visibility (6/6) — 8 sparse points; radius 7 markers appropriately sized. Error bar T-caps clearly visible. Peak marker at radius 11 is distinctly differentiated.
• VQ-04: Color Accessibility (2/2) — Single #009E73 series; white-ring outline on markers adds definition on both surfaces. CVD-safe.
• VQ-05: Layout & Canvas (4/4) — Good canvas utilization. Data spread across full plot area with balanced margins.
• VQ-06: Axis Labels & Title (2/2) — Y-axis: "Enzyme Activity (nmol/min)" with units. X-axis: "Temperature" with °C carried by tick labels.
• VQ-07: Palette Compliance (2/2) — First series #009E73; colors: t.palette; backgroundColor: "transparent" (pageBg shows through); full theme-adaptive chrome via t.ink, t.inkSoft, t.grid in both renders.

Design Excellence (14/20)

• DE-01: Aesthetic Sophistication (6/8) — Strong design: Imprint palette used correctly, peak marker differentiation adds intentional hierarchy, clean minimal chrome, good typographic weight distribution. Clearly above defaults.
• DE-02: Visual Refinement (4/6) — Subtle grid via t.grid, no plot border (plotBorderWidth: 0), white-ring markers. Some explicit refinement visible.
• DE-03: Data Storytelling (4/6) — Enlarged peak marker + annotation "← Optimal: 37°C" creates clear focal point. Subtitle explains error bars. Visual hierarchy guides the viewer to the biologically meaningful maximum.

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) — Scatter + SVG-rendered error bars with T-caps. Correct workaround: highcharts-more (which contains the native errorbar series) is not available; using chart.renderer SVG paths is the right approach.
• SC-02: Required Features (4/4) — Error bars with visible caps, consistent widths, varying error magnitudes across groups.
• SC-03: Data Mapping (3/3) — X: temperature categories; Y: enzyme activity means; error bars represent ±SD.
• SC-04: Title & Legend (3/3) — Title: "errorbar-basic · javascript · highcharts · anyplot.ai" — correct format. Single series; no legend is appropriate.

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6) — Varying error magnitudes, bell-curve data pattern, highlighted peak; all errorbar visualization aspects covered.
• DQ-02: Realistic Context (5/5) — Enzyme activity vs temperature is a textbook biochemistry scenario. Neutral and comprehensible.
• DQ-03: Appropriate Scale (4/4) — Activity values (18–75 nmol/min), SDs (2.3–6.3), and peak at 37°C are biologically plausible for enzyme kinetics (body temperature optimum is factually correct).

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) — Data definition → chart config with render callback. No unnecessary abstractions.
• CQ-02: Reproducibility (2/2) — All data hard-coded inline; fully deterministic.
• CQ-03: Clean Imports (2/2) — No imports needed; Highcharts and window.ANYPLOT_TOKENS are globals. Clean.
• CQ-04: Code Elegance (2/2) — Appropriate complexity for SVG overlay approach. Lifecycle managed correctly (destroy + recreate on each render). No fake UI.
• CQ-05: Output & API (1/1) — Highcharts.chart("container", ...) with animation: false. Harness produces plot-{theme}.png and plot-{theme}.html.

Library Mastery (8/10)

• LM-01: Idiomatic Usage (4/5) — Correct use of chart.events.render, chart.renderer SVG API, yAxis[0].toPixels(), plotLeft/plotTop coordinate offsets. Minor deduction: the lack of a native errorbar series type forces a workaround.
• LM-02: Distinctive Features (4/5) — Uses Highcharts' SVG renderer (c.renderer.path, c.renderer.text), axis coordinate conversion, and render event lifecycle — features distinctly specific to Highcharts' architecture.

Score Caps Applied

• None

Strengths

• Single-series #009E73 scatter with manually drawn SVG error bars and caps — correct workaround for highcharts-more not being available in the core bundle
• Peak at 37°C highlighted with larger marker and "← Optimal: 37°C" annotation, creating a clear focal point and storytelling element
• Subtitle explains error bars (± 1 SD), and Y-axis label includes units; full informative labeling
• Theme-adaptive chrome fully wired via ANYPLOT_TOKENS — both renders are clean and visually correct
• Deterministic hard-coded data with realistic enzyme kinetics bell-curve shape, factually accurate peak at body temperature

Weaknesses

• Error bars implemented via SVG renderer render event — correct and clever, but the render callback's SVG lifecycle (destroy-then-recreate on every redraw) adds complexity; no functional impact on the static PNG
• X-axis title is "Temperature" without "(°C)" unit — tick labels carry the units but "Temperature (°C)" would be more formally complete
• DE-01/DE-02 could be elevated further: removing the bottom/left axis lines (lineWidth: 0) and adjusting plot margins would add a cleaner, more publication-ready look

Issues Found

1. LM-01 MINOR: Native errorbar series type not available (in highcharts-more); SVG renderer workaround is valid but slightly penalized vs. native usage
   • No fix needed — this is the correct approach given the library constraints

AI Feedback for Next Attempt

Implementation is well-executed and approved. If a repair were needed, focus on: (1) adding "(°C)" to the X-axis title for full unit completeness, (2) removing axis lines (lineWidth: 0 on both xAxis/yAxis) for a cleaner minimal look, and (3) tightening plot margins to reduce whitespace at the bottom of the Y-axis range.

Verdict: APPROVED