feat(highcharts): implement roc-curve

[github-actions]

Implementation: roc-curve - javascript/highcharts

Implements the javascript/highcharts version of roc-curve.

File: plots/roc-curve/implementations/javascript/highcharts.js

Parent Issue: #2273

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

Light render (plot-light.png): Warm off-white (#FAF8F1) background. Bold dark title "roc-curve · javascript · highcharts · anyplot.ai" at top center. Axis titles "False Positive Rate" (x) and "True Positive Rate" (y) in medium-gray ink; tick labels 0–1 in gray; subtle light-gray grid on both axes. Three series: green (#009E73) "Antibody test" curve bowing sharply to the top-left (AUC 0.90), purple "Enzyme test" curve with a shallower bow (AUC 0.80), and a black dashed diagonal "Random classifier" reference (AUC 0.50). All text is clearly readable against the light background.

Dark render (plot-dark.png): Warm near-black (#1A1A17) background. Title, axis titles, and tick labels flip to light/white ink and remain clearly legible. Grid lines are subtle light-gray-on-dark. The Antibody-test (green) and Enzyme-test (purple) curves are pixel-identical in hue to the light render — only the reference diagonal's color and the chrome flip (black dashed → white dashed). No dark-on-dark or light-on-light failures anywhere.

Both paragraphs confirmed via direct image inspection of both PNGs.

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)
• VQ-02: No Overlap (6/6)
• VQ-03: Element Visibility (6/6)
• VQ-04: Color Accessibility (2/2)
• VQ-05: Layout & Canvas (4/4)
• VQ-06: Axis Labels & Title (2/2)
• VQ-07: Palette Compliance (2/2)

Design Excellence (11/20)

• DE-01: Aesthetic Sophistication (5/8) - Above generic defaults (Imprint palette, styled/dashed reference line with hover tracking disabled) but no additional polish device beyond that
• DE-02: Visual Refinement (3/6) - Subtle theme-token gridlines and generous whitespace, but nothing beyond the style-guide baseline
• DE-03: Data Storytelling (3/6) - Legend surfaces AUC directly and the muted dashed baseline creates some hierarchy, but no stronger focal point (e.g. highlighting the gap between the two tests)

Spec Compliance (15/15)

• SC-01: Plot Type (5/5)
• SC-02: Required Features (4/4)
• SC-03: Data Mapping (3/3)
• SC-04: Title & Legend (3/3)

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6)
• DQ-02: Realistic Context (5/5)
• DQ-03: Appropriate Scale (4/4)

Code Quality (10/10)

• CQ-01: KISS Structure (3/3)
• CQ-02: Reproducibility (2/2)
• CQ-03: Clean Imports (2/2)
• CQ-04: Code Elegance (2/2)
• CQ-05: Output & API (1/1)

Library Mastery (7/10)

• LM-01: Idiomatic Usage (5/5)
• LM-02: Distinctive Features (2/5) - enableMouseTracking: false on the reference series is a nice touch, but no other Highcharts-distinctive feature (plotLines, annotations, marker states) is used

Score Caps Applied

• None

Strengths

• Correct ROC math: tpr = fpr^(1/power) integrates analytically to power/(power+1), so the AUC labels (0.90, 0.80) are exactly consistent with the plotted curve shapes rather than hard-coded numbers
• Diagonal random-classifier reference line is present, styled distinctly (dashed, muted ink color, enableMouseTracking: false so it doesn't produce a misleading hover), and correctly spans (0,0) to (1,1)
• Two models compared with clearly distinct Imprint palette colors (green vs. purple) and each curve's AUC surfaced directly in the legend text
• Square 2400×2400 canvas correctly honors the spec's "equal aspect ratio preferred" note via the //# anyplot-orientation: square directive
• Theme tokens are threaded through title, axes, gridlines, and legend consistently; both renders are legible with identical data colors and correctly flipped chrome
• Deterministic, in-memory data generation with no RNG — fully reproducible

Weaknesses

• Design excellence is competent but minimal — no additional visual hierarchy device (e.g. subtle fill under the better-performing curve, an annotated operating point, or emphasis on the AUC gap between the two tests) beyond the dashed/muted reference line
• No Highcharts-distinctive features are used beyond the core line/legend/tooltip API — idiomatic but generic relative to what the library offers
• Grid styling is default subtle Imprint tokens with no additional refinement layered on top

Issues Found

1. DE-01/DE-03 LOW-MEDIUM: Solid but generic design — no strong focal point beyond color and line style
   • Fix (optional, non-blocking): consider a subtle annotation calling out the AUC gap, or a plotLines/marker at a representative operating threshold, to add a stronger storytelling element
2. LM-02 LOW: No distinctive Highcharts feature beyond disabled hover tracking on the reference series
   • Fix (optional, non-blocking): a plotBands/plotLines threshold marker or a light area-fill under one curve would showcase more of the library's capability

AI Feedback for Next Attempt

This implementation already passes on correctness, spec compliance, and theming. If revisited, the main lever left is Design Excellence / Library Mastery: add one deliberate storytelling touch (e.g. a plotLine marking a representative decision threshold, or a subtle fill highlighting the area between the two ROC curves) to move beyond a clean-but-generic line chart.

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. Bold dark title "roc-curve · javascript · highcharts · anyplot.ai" at top center. Axis titles "False Positive Rate" / "True Positive Rate" and tick labels (0–1) in medium gray, all legible. Subtle dotted major/minor gridlines. Brand-green (#009E73) "Antibody test" curve (AUC = 0.90) with a light green area fill beneath it, a lavender "Enzyme test" curve (AUC = 0.80), and a black dashed diagonal "Random classifier" reference (AUC = 0.50) from (0,0) to (1,1). A vertical dashed "FPR = 0.10" plotLine and a "TPR = 0.77" data-label mark an example decision threshold on the top curve. Legend at bottom with all three series labeled including AUC. All text is clearly readable against the light background.

Dark render (plot-dark.png): Warm near-black (#1A1A17) background. Same title/axis/legend chrome now in light ink, fully legible. Gridlines are subtle light-on-dark. Data colors (green, lavender) are identical to the light render; only the reference diagonal and chrome flip to light tones, as expected. The threshold plotLine label and data-label callout are both light-colored and clearly legible — no dark-on-dark failures anywhere.

Both renders pass the theme-readability check.

Score: 91/100

Category	Score	Max
Visual Quality	29	30
Design Excellence	15	20
Spec Compliance	15	15
Data Quality	15	15
Code Quality	8	10
Library Mastery	9	10
Total	91	100

Visual Quality (29/30)

• VQ-01: Text Legibility (7/8)
• VQ-02: No Overlap (6/6)
• VQ-03: Element Visibility (6/6)
• VQ-04: Color Accessibility (2/2)
• VQ-05: Layout & Canvas (4/4)
• VQ-06: Axis Labels & Title (2/2)
• VQ-07: Palette Compliance (2/2)

Design Excellence (15/20)

• DE-01: Aesthetic Sophistication (6/8) - Area fill under the AUC curve + styled threshold callout lift it above generic defaults
• DE-02: Visual Refinement (4/6) - Subtle dotted gridlines, generous whitespace, no further polish beyond style-guide baseline
• DE-03: Data Storytelling (5/6) - Threshold callout gives a concrete "accept 10% FPR, get 77% TPR" narrative

Spec Compliance (15/15)

• SC-01: Plot Type (5/5)
• SC-02: Required Features (4/4)
• SC-03: Data Mapping (3/3)
• SC-04: Title & Legend (3/3)

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6)
• DQ-02: Realistic Context (5/5)
• DQ-03: Appropriate Scale (4/4)

Code Quality (8/10)

• CQ-01: KISS Structure (2/3)
• CQ-02: Reproducibility (2/2)
• CQ-03: Clean Imports (2/2)
• CQ-04: Code Elegance (2/2)
• CQ-05: Output & API (0/1) - Header block is missing the mandatory // License: line

Library Mastery (9/10)

• LM-01: Idiomatic Usage (5/5)
• LM-02: Distinctive Features (4/5) - plotLines, dataLabels callout, area fill; a plotBand for the curve gap would go further

Score Caps Applied

• None

Strengths

• Correct ROC math: tpr = fpr^(1/power) integrates analytically via trapezoidal sum, so the AUC labels (0.90, 0.80) are computed from the curve data, not hard-coded
• Area fill under the top curve + new FPR = 0.10 plotLine and TPR = 0.77 data-label callout give the chart a concrete decision-threshold narrative — directly resolves the prior attempt's "no threshold annotation / no plotLine" weakness
• Diagonal random-classifier reference styled distinctly (dashed, muted ink, enableMouseTracking: false) and correctly spans (0,0)–(1,1)
• Two models compared with correct canonical Imprint palette order (green, lavender); AUC surfaced directly in the legend
• Square 2400×2400 canvas correctly honors the spec's "equal aspect ratio preferred" note
• Theme tokens threaded consistently through title, axes, gridlines, legend, and the new annotation; both renders fully legible with identical data colors
• Fully deterministic, in-memory data generation — no RNG

Weaknesses

• The header block is missing the mandatory // License: Highcharts — commercial license, free for non-commercial use (highcharts.com/license) line required by prompts/library/highcharts.md. It was present in the original implementation commit but was dropped by a later automated header-rewrite that updated the Quality: score line — this looks like a pipeline header-rewrite issue rather than an authoring mistake, but the license notice needs to make it into the shipped file.
• Small helper functions (rocCurve, areaUnderCurve, toPoints) are clean and pure but push the file slightly past a flat Imports→Data→Plot structure.
• Distinctive-feature usage is already good; a plotBand highlighting the performance gap between the two curves would push Library Mastery further.

Issues Found

1. CQ-05 LOW: Header is missing the required // License: line for Highcharts
   • Fix: Restore // License: Highcharts — commercial license, free for non-commercial use (highcharts.com/license) as the 4th header line; if this keeps getting stripped, the impl-review.yml header-rewrite template likely needs to preserve a // License: line for the highcharts library rather than only templating Library:/Quality:/Created:.
2. LM-02 LOW: No plotBand/gap-highlight beyond the current plotLine/dataLabel/area combo
   • Fix (optional, non-blocking): consider a subtle plotBand or shaded region between the two curves to visually emphasize the performance gap.

AI Feedback for Next Attempt

Implementation is strong and approved. The one concrete fix worth carrying forward is restoring the // License: header line — check whether it survives the next automated header-rewrite, since it appears to be stripped by that step rather than by the implementation itself.

Verdict: APPROVED