From 7f608738b50690baf5ad92b7afc2fd285fe55d85 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Wed, 6 May 2026 15:19:46 +0000 Subject: [PATCH 1/3] chore(pygal): add metadata for line-multi --- .../implementations/python/pygal.py | 81 ++++--- plots/line-multi/metadata/python/pygal.yaml | 216 ++---------------- 2 files changed, 68 insertions(+), 229 deletions(-) diff --git a/plots/line-multi/implementations/python/pygal.py b/plots/line-multi/implementations/python/pygal.py index f5f569071f..6dd9c714fb 100644 --- a/plots/line-multi/implementations/python/pygal.py +++ b/plots/line-multi/implementations/python/pygal.py @@ -1,13 +1,38 @@ -""" pyplots.ai +"""anyplot.ai line-multi: Multi-Line Comparison Plot -Library: pygal 3.1.0 | Python 3.13.11 -Quality: 91/100 | Created: 2025-12-24 +Library: pygal | Python 3.13 +Quality: pending | Created: 2025-12-24 """ -import pygal -from pygal.style import Style +import os +import sys +from pathlib import Path +# Remove the script's directory from sys.path to avoid import collision +script_dir = str(Path(__file__).parent) +sys.path = [p for p in sys.path if p != script_dir and p != ""] + +import pygal # noqa: E402 +from pygal.style import Style # noqa: E402 + + +# Theme tokens (see prompts/default-style-guide.md) +THEME = os.getenv("ANYPLOT_THEME", "light") +PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17" +ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420" +INK = "#1A1A17" if THEME == "light" else "#F0EFE8" +INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0" +INK_MUTED = "#6B6A63" if THEME == "light" else "#A8A79F" + +# Okabe-Ito palette (canonical order) +OKABE_ITO = ( + "#009E73", # bluish green (brand — first series) + "#D55E00", # vermillion + "#0072B2", # blue + "#CC79A7", # reddish purple +) + # Data - Monthly sales for 4 product lines over 12 months months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"] @@ -16,44 +41,41 @@ home_goods = [28, 31, 35, 38, 42, 45, 48, 52, 49, 55, 62, 72] sports = [22, 25, 32, 45, 58, 65, 72, 68, 55, 42, 35, 28] -# Custom style for large canvas +# Custom style with theme-adaptive colors custom_style = Style( - background="white", - plot_background="white", - foreground="#333333", - foreground_strong="#333333", - foreground_subtle="#666666", - colors=("#306998", "#FFD43B", "#E85D04", "#2A9D8F"), # Python colors + colorblind-safe - title_font_size=72, - label_font_size=48, - major_label_font_size=42, - legend_font_size=42, - value_font_size=36, - stroke_width=8, - opacity=0.9, - opacity_hover=1.0, + background=PAGE_BG, + plot_background=PAGE_BG, + foreground=INK, + foreground_strong=INK, + foreground_subtle=INK_MUTED, + colors=OKABE_ITO, + title_font_size=28, + label_font_size=22, + major_label_font_size=18, + legend_font_size=16, + value_font_size=14, + stroke_width=3, ) # Create chart chart = pygal.Line( width=4800, height=2700, - title="line-multi \u00b7 pygal \u00b7 pyplots.ai", + title="line-multi · pygal · anyplot.ai", x_title="Month", y_title="Sales (thousands USD)", style=custom_style, show_dots=True, - dots_size=12, + dots_size=6, show_legend=True, legend_at_bottom=False, - legend_box_size=36, x_label_rotation=0, show_y_guides=True, show_x_guides=False, - margin=80, - margin_top=150, - margin_bottom=150, - spacing=40, + margin=100, + margin_top=120, + margin_bottom=100, + spacing=20, ) # Add data series @@ -64,5 +86,6 @@ chart.add("Sports", sports) # Save as PNG and HTML -chart.render_to_png("plot.png") -chart.render_to_file("plot.html") +chart.render_to_png(f"plot-{THEME}.png") +with open(f"plot-{THEME}.html", "wb") as f: + f.write(chart.render()) diff --git a/plots/line-multi/metadata/python/pygal.yaml b/plots/line-multi/metadata/python/pygal.yaml index 238734a1e6..10170bf1f6 100644 --- a/plots/line-multi/metadata/python/pygal.yaml +++ b/plots/line-multi/metadata/python/pygal.yaml @@ -1,205 +1,21 @@ +# Per-library metadata for pygal implementation of line-multi +# Auto-generated by impl-generate.yml + library: pygal +language: python specification_id: line-multi created: '2025-12-24T21:32:38Z' -updated: '2025-12-24T21:41:33Z' -generated_by: claude-opus-4-5-20251101 -workflow_run: 20494139700 -issue: 0 -python_version: 3.13.11 +updated: '2026-05-06T15:19:46Z' +generated_by: claude-haiku +workflow_run: 25444156933 +issue: 1825 +python_version: 3.13.13 library_version: 3.1.0 -preview_url: https://storage.googleapis.com/anyplot-images/plots/line-multi/pygal/plot.png -preview_html: https://storage.googleapis.com/anyplot-images/plots/line-multi/pygal/plot.html -quality_score: 91 -impl_tags: - dependencies: [] - techniques: - - html-export - patterns: [] - dataprep: [] - styling: [] +preview_url_light: https://storage.googleapis.com/anyplot-images/plots/line-multi/python/pygal/plot-light.png +preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/line-multi/python/pygal/plot-dark.png +preview_html_light: https://storage.googleapis.com/anyplot-images/plots/line-multi/python/pygal/plot-light.html +preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/line-multi/python/pygal/plot-dark.html +quality_score: null review: - strengths: - - Excellent data storytelling with four distinct trend patterns (steady growth, - gradual growth, seasonal variation) - - Clean, professional color palette that is colorblind-accessible - - Proper title format following pyplots.ai conventions - - Well-configured font sizes and margins for the large canvas - - Good use of dots to highlight individual data points - - Descriptive axis labels with units - weaknesses: - - Legend positioned in top-left could be closer to the data area or at bottom - - Data is deterministic but CQ-02 scoring convention expects explicit seed comment - for clarity - image_description: 'The plot displays a multi-line chart showing monthly sales data - for 4 product lines over 12 months. Four distinct colored lines are visible: a - blue line (Electronics) showing strong growth from ~45 to 110, a yellow line (Clothing) - with gradual growth from ~38 to 88, an orange line (Home Goods) with steady growth - from ~28 to 72, and a teal line (Sports) showing a seasonal pattern that rises - from ~22 to peak around 72 in July-August then declines to ~28 in December. The - title "line-multi · pygal · pyplots.ai" is displayed at the top center. A legend - in the top-left identifies all four series. The Y-axis shows "Sales (thousands - USD)" and the X-axis shows "Month" with labels from Jan to Dec. Circular markers - appear at each data point. Horizontal dotted grid lines help with value reading.' - criteria_checklist: - visual_quality: - score: 36 - max: 40 - items: - - id: VQ-01 - name: Text Legibility - score: 9 - max: 10 - passed: true - comment: All text is readable, title and axis labels are clear, legend is - legible. Slightly smaller than optimal for the canvas size. - - id: VQ-02 - name: No Overlap - score: 8 - max: 8 - passed: true - comment: No overlapping text, all labels are clearly separated - - id: VQ-03 - name: Element Visibility - score: 7 - max: 8 - passed: true - comment: Lines and dots are visible, stroke width of 8 and dot size of 12 - work well. Lines could be slightly thicker for the large canvas. - - id: VQ-04 - name: Color Accessibility - score: 5 - max: 5 - passed: true - comment: Blue, yellow, orange, and teal are colorblind-safe and easily distinguishable - - id: VQ-05 - name: Layout Balance - score: 4 - max: 5 - passed: true - comment: Good use of canvas, plot fills most of the space. Legend placement - in top-left is functional but slightly distant from the plot area. - - id: VQ-06 - name: Axis Labels - score: 2 - max: 2 - passed: true - comment: Y-axis includes units "Sales (thousands USD)", X-axis labeled "Month" - - id: VQ-07 - name: Grid & Legend - score: 1 - max: 2 - passed: true - comment: Grid lines are subtle and helpful. Legend is well-identified but - positioned slightly far from the data area. - spec_compliance: - score: 25 - max: 25 - items: - - id: SC-01 - name: Plot Type - score: 8 - max: 8 - passed: true - comment: Correct multi-line chart type - - id: SC-02 - name: Data Mapping - score: 5 - max: 5 - passed: true - comment: X-axis shows months (categorical/time), Y-axis shows numeric values - - id: SC-03 - name: Required Features - score: 5 - max: 5 - passed: true - comment: Multiple series with distinct colors, legend present, markers at - data points - - id: SC-04 - name: Data Range - score: 3 - max: 3 - passed: true - comment: All data points visible, axes accommodate full range - - id: SC-05 - name: Legend Accuracy - score: 2 - max: 2 - passed: true - comment: Legend correctly identifies all four series - - id: SC-06 - name: Title Format - score: 2 - max: 2 - passed: true - comment: Correctly formatted as "line-multi · pygal · pyplots.ai" - data_quality: - score: 20 - max: 20 - items: - - id: DQ-01 - name: Feature Coverage - score: 8 - max: 8 - passed: true - comment: 'Shows diverse trends: steady growth (Electronics), gradual growth - (Clothing, Home Goods), and seasonal variation (Sports with summer peak)' - - id: DQ-02 - name: Realistic Context - score: 7 - max: 7 - passed: true - comment: Monthly product sales is a plausible, real-world business scenario - - id: DQ-03 - name: Appropriate Scale - score: 5 - max: 5 - passed: true - comment: Sales values in tens of thousands USD are realistic for product lines - code_quality: - score: 7 - max: 10 - items: - - id: CQ-01 - name: KISS Structure - score: 3 - max: 3 - passed: true - comment: 'Simple linear structure: imports → data → style → chart → save' - - id: CQ-02 - name: Reproducibility - score: 0 - max: 3 - passed: false - comment: No random seed needed (deterministic data), but data is hardcoded - which is good - - id: CQ-03 - name: Clean Imports - score: 2 - max: 2 - passed: true - comment: Only pygal and Style are imported, both used - - id: CQ-04 - name: No Deprecated API - score: 1 - max: 1 - passed: true - comment: Uses current pygal API - - id: CQ-05 - name: Output Correct - score: 1 - max: 1 - passed: true - comment: Saves as plot.png and plot.html - library_features: - score: 3 - max: 5 - items: - - id: LF-01 - name: Uses distinctive library features - score: 3 - max: 5 - passed: true - comment: Uses pygal.Line with custom Style, show_dots, dots_size, and legend - configuration. Could leverage more pygal-specific features like tooltips - or fill options. - verdict: APPROVED + strengths: [] + weaknesses: [] From dc159d25d7b339450a3556dd57f570975c20263e Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Wed, 6 May 2026 21:47:57 +0000 Subject: [PATCH 2/3] chore(pygal): update quality score 85 and review feedback for line-multi --- .../implementations/python/pygal.py | 6 +- plots/line-multi/metadata/python/pygal.yaml | 232 +++++++++++++++++- 2 files changed, 228 insertions(+), 10 deletions(-) diff --git a/plots/line-multi/implementations/python/pygal.py b/plots/line-multi/implementations/python/pygal.py index 6dd9c714fb..6b557b4d7e 100644 --- a/plots/line-multi/implementations/python/pygal.py +++ b/plots/line-multi/implementations/python/pygal.py @@ -1,7 +1,7 @@ -"""anyplot.ai +""" anyplot.ai line-multi: Multi-Line Comparison Plot -Library: pygal | Python 3.13 -Quality: pending | Created: 2025-12-24 +Library: pygal 3.1.0 | Python 3.13.13 +Quality: 85/100 | Updated: 2026-05-06 """ import os diff --git a/plots/line-multi/metadata/python/pygal.yaml b/plots/line-multi/metadata/python/pygal.yaml index 10170bf1f6..95350b4d34 100644 --- a/plots/line-multi/metadata/python/pygal.yaml +++ b/plots/line-multi/metadata/python/pygal.yaml @@ -1,11 +1,8 @@ -# Per-library metadata for pygal implementation of line-multi -# Auto-generated by impl-generate.yml - library: pygal language: python specification_id: line-multi created: '2025-12-24T21:32:38Z' -updated: '2026-05-06T15:19:46Z' +updated: '2026-05-06T21:47:57Z' generated_by: claude-haiku workflow_run: 25444156933 issue: 1825 @@ -15,7 +12,228 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/line-mult preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/line-multi/python/pygal/plot-dark.png preview_html_light: https://storage.googleapis.com/anyplot-images/plots/line-multi/python/pygal/plot-light.html preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/line-multi/python/pygal/plot-dark.html -quality_score: null +quality_score: 85 review: - strengths: [] - weaknesses: [] + strengths: + - 'Perfect spec compliance: all required multi-line features, correct title format, + correct chart type' + - 'Perfect data quality: realistic product sales scenario with diverse trend shapes + (growth, seasonal arc) and plausible values' + - 'Perfect code quality: clean KISS structure, deterministic data, clean imports, + proper output for interactive library' + - 'Flawless palette and theme compliance: Okabe-Ito order 1-4, correct backgrounds + FAF8F1/1A1A17, both renders pass theme-readability' + - Font sizes explicitly set to pixel-based style guide values (28/22/18/16) + weaknesses: + - 'Design excellence lacking: chart looks like a well-configured default with no + focal point or visual hierarchy guiding viewer to key insight (Electronics dominant + growth, Sports seasonality)' + - 'No data storytelling: all four lines rendered identically thick with equal visual + weight — no emphasis on the most interesting trend' + - Legend floats in top-left corner inside the plot area, creating visual imbalance + and crowding + image_description: |- + Light render (plot-light.png): + Background: Warm off-white #FAF8F1 — correct, not pure white + Chrome: Title "line-multi · pygal · anyplot.ai" centered at top in dark ink — readable. Y-axis label "Sales (thousands USD)" vertical on left — readable. X-axis label "Month" at bottom — readable. Tick labels (Jan-Dec, numeric y-values) visible in dark ink on light surface. + Data: 4 lines in Okabe-Ito order: Electronics #009E73 (green), Clothing #D55E00 (orange), Home Goods #0072B2 (blue), Sports #CC79A7 (pink-purple). Dots at each data point. Subtle dotted horizontal grid lines. + Legend: Top-left corner, small colored squares with series names — readable but small. + Legibility verdict: PASS + + Dark render (plot-dark.png): + Background: Warm near-black #1A1A17 — correct, not pure black + Chrome: All text elements (title, axis labels, tick labels, legend text) flip to light/off-white on dark surface — clearly readable. No dark-on-dark failures detected. Grid lines appear as subtle lighter dotted lines on dark surface. + Data: Identical line colors to light render — Electronics #009E73, Clothing orange, Home Goods blue, Sports pink-purple. Only chrome has flipped. + Legibility verdict: PASS + criteria_checklist: + visual_quality: + score: 29 + max: 30 + items: + - id: VQ-01 + name: Text Legibility + score: 8 + max: 8 + passed: true + comment: 'All font sizes explicitly set to pixel-based spec: title=28px, labels=22px, + ticks=18px, legend=16px' + - id: VQ-02 + name: No Overlap + score: 6 + max: 6 + passed: true + comment: Month labels well-spaced, no text collisions + - id: VQ-03 + name: Element Visibility + score: 6 + max: 6 + passed: true + comment: Dots visible (dots_size=6), lines appropriately thick (stroke_width=3) + - id: VQ-04 + name: Color Accessibility + score: 2 + max: 2 + passed: true + comment: Okabe-Ito CVD-safe, all 4 series distinguishable + - id: VQ-05 + name: Layout & Canvas + score: 3 + max: 4 + passed: true + comment: 'Good canvas utilization ~60-70%; minor: legend in top-left corner + floats inside plot area' + - id: VQ-06 + name: Axis Labels & Title + score: 2 + max: 2 + passed: true + comment: Sales (thousands USD) with units; Month descriptive + - id: VQ-07 + name: Palette Compliance + score: 2 + max: 2 + passed: true + comment: 'First series #009E73, Okabe-Ito order 1-4, backgrounds FAF8F1/1A1A17, + both themes chrome-correct' + design_excellence: + score: 9 + max: 20 + items: + - id: DE-01 + name: Aesthetic Sophistication + score: 4 + max: 8 + passed: false + comment: Well-configured default with correct palette and theme tokens, but + no exceptional design choices or visual hierarchy + - id: DE-02 + name: Visual Refinement + score: 3 + max: 6 + passed: false + comment: Non-default choices made (show_x_guides=False, explicit margins), + above minimal but retains full-border pygal frame + - id: DE-03 + name: Data Storytelling + score: 2 + max: 6 + passed: false + comment: Four trends displayed but nothing guides viewer; no emphasis distinguishes + dominant/interesting series + spec_compliance: + score: 15 + max: 15 + items: + - id: SC-01 + name: Plot Type + score: 5 + max: 5 + passed: true + comment: pygal.Line() with 4 series, correct multi-line comparison chart + - id: SC-02 + name: Required Features + score: 4 + max: 4 + passed: true + comment: Multiple series, distinct colors, legend, dots at data points + - id: SC-03 + name: Data Mapping + score: 3 + max: 3 + passed: true + comment: Months on x-axis, sales values on y-axis, all data visible + - id: SC-04 + name: Title & Legend + score: 3 + max: 3 + passed: true + comment: line-multi · pygal · anyplot.ai correct; legend labels match series + names + data_quality: + score: 15 + max: 15 + items: + - id: DQ-01 + name: Feature Coverage + score: 6 + max: 6 + passed: true + comment: 'Diverse trend types: strong upward (Electronics), moderate growth + (Clothing/Home Goods), seasonal arc (Sports)' + - id: DQ-02 + name: Realistic Context + score: 5 + max: 5 + passed: true + comment: Monthly sales for 4 product lines over a year — realistic neutral + business scenario + - id: DQ-03 + name: Appropriate Scale + score: 4 + max: 4 + passed: true + comment: Values 22-110 thousands USD plausible; Electronics highest, Sports + seasonal — factually coherent + code_quality: + score: 10 + max: 10 + items: + - id: CQ-01 + name: KISS Structure + score: 3 + max: 3 + passed: true + comment: 'Clean linear flow: tokens -> data -> style -> chart -> add series + -> save' + - id: CQ-02 + name: Reproducibility + score: 2 + max: 2 + passed: true + comment: Fully deterministic, hardcoded data lists + - id: CQ-03 + name: Clean Imports + score: 2 + max: 2 + passed: true + comment: os, sys, Path, pygal, Style — all used + - id: CQ-04 + name: Code Elegance + score: 2 + max: 2 + passed: true + comment: Clean Pythonic; sys.path manipulation necessary for import collision + avoidance + - id: CQ-05 + name: Output & API + score: 1 + max: 1 + passed: true + comment: Saves plot-{THEME}.png + plot-{THEME}.html correctly for interactive + library + library_mastery: + score: 7 + max: 10 + items: + - id: LM-01 + name: Idiomatic Usage + score: 4 + max: 5 + passed: true + comment: 'Comprehensive idiomatic pygal: Style for all theming, x_labels, + add(), render_to_png(), render() — above default' + - id: LM-02 + name: Distinctive Features + score: 3 + max: 5 + passed: true + comment: Saves both PNG and HTML leveraging pygal's distinctive interactive + JS chart output; selective guide configuration + verdict: REJECTED +impl_tags: + dependencies: [] + techniques: + - html-export + patterns: [] + dataprep: [] + styling: [] From f4b36c7f9663efd76d39c91522dfefb9b7c72a21 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Wed, 6 May 2026 21:57:30 +0000 Subject: [PATCH 3/3] chore(pygal): update quality score 83 and review feedback for line-multi --- .../implementations/python/pygal.py | 2 +- plots/line-multi/metadata/python/pygal.yaml | 165 ++++++++++-------- 2 files changed, 94 insertions(+), 73 deletions(-) diff --git a/plots/line-multi/implementations/python/pygal.py b/plots/line-multi/implementations/python/pygal.py index 6b557b4d7e..c3454fe57a 100644 --- a/plots/line-multi/implementations/python/pygal.py +++ b/plots/line-multi/implementations/python/pygal.py @@ -1,7 +1,7 @@ """ anyplot.ai line-multi: Multi-Line Comparison Plot Library: pygal 3.1.0 | Python 3.13.13 -Quality: 85/100 | Updated: 2026-05-06 +Quality: 83/100 | Updated: 2026-05-06 """ import os diff --git a/plots/line-multi/metadata/python/pygal.yaml b/plots/line-multi/metadata/python/pygal.yaml index 95350b4d34..300f5bc93a 100644 --- a/plots/line-multi/metadata/python/pygal.yaml +++ b/plots/line-multi/metadata/python/pygal.yaml @@ -2,7 +2,7 @@ library: pygal language: python specification_id: line-multi created: '2025-12-24T21:32:38Z' -updated: '2026-05-06T21:47:57Z' +updated: '2026-05-06T21:57:29Z' generated_by: claude-haiku workflow_run: 25444156933 issue: 1825 @@ -12,114 +12,132 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/line-mult preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/line-multi/python/pygal/plot-dark.png preview_html_light: https://storage.googleapis.com/anyplot-images/plots/line-multi/python/pygal/plot-light.html preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/line-multi/python/pygal/plot-dark.html -quality_score: 85 +quality_score: 83 review: strengths: - - 'Perfect spec compliance: all required multi-line features, correct title format, - correct chart type' - - 'Perfect data quality: realistic product sales scenario with diverse trend shapes - (growth, seasonal arc) and plausible values' - - 'Perfect code quality: clean KISS structure, deterministic data, clean imports, - proper output for interactive library' - - 'Flawless palette and theme compliance: Okabe-Ito order 1-4, correct backgrounds - FAF8F1/1A1A17, both renders pass theme-readability' - - Font sizes explicitly set to pixel-based style guide values (28/22/18/16) + - Full Okabe-Ito palette correctly applied in canonical order — Electronics=green + (#009E73), Clothing=orange, Home Goods=blue, Sports=purple + - Both light and dark themes render correctly with matching data colors and theme-adaptive + chrome (background, text, grid) + - 'Complete spec compliance: correct multi-line chart type, 4 series with distinct + colors, visible markers, legend, correct title format, descriptive axis labels + with units' + - Realistic business data with interesting trend variety — Electronics upward growth, + Sports seasonality, Clothing and Home Goods moderate growth + - 'Correct output: both PNG and HTML generated per-theme — leveraging pygal''s interactive + HTML feature' + - Font sizes explicitly set matching the pixel-based library guide (28px title, + 22px labels, 18px ticks, 16px legend) + - Clean KISS code structure with no functions/classes, deterministic data, all imports + used weaknesses: - - 'Design excellence lacking: chart looks like a well-configured default with no - focal point or visual hierarchy guiding viewer to key insight (Electronics dominant - growth, Sports seasonality)' - - 'No data storytelling: all four lines rendered identically thick with equal visual - weight — no emphasis on the most interesting trend' - - Legend floats in top-left corner inside the plot area, creating visual imbalance - and crowding + - 'Design Excellence is generic: DE-01=4 (well-configured default, not exceptional), + DE-02=2 (pygal frame/border unchanged, grid is moderately prominent rather than + subtle), DE-03=2 (data displayed but no visual emphasis or storytelling — Sports + seasonality vs Electronics growth story not highlighted)' + - Legend text (16px) is at the minimum recommended size; at 4800x2700 the two-column + bottom legend reads as quite small + - No line style variation (all solid) — spec notes this as a recommended distinction + technique for additional differentiation + - 'Layout (VQ-05) leaves some wasted space: canvas fill is good but margins could + be tuned for better balance' image_description: |- Light render (plot-light.png): - Background: Warm off-white #FAF8F1 — correct, not pure white - Chrome: Title "line-multi · pygal · anyplot.ai" centered at top in dark ink — readable. Y-axis label "Sales (thousands USD)" vertical on left — readable. X-axis label "Month" at bottom — readable. Tick labels (Jan-Dec, numeric y-values) visible in dark ink on light surface. - Data: 4 lines in Okabe-Ito order: Electronics #009E73 (green), Clothing #D55E00 (orange), Home Goods #0072B2 (blue), Sports #CC79A7 (pink-purple). Dots at each data point. Subtle dotted horizontal grid lines. - Legend: Top-left corner, small colored squares with series names — readable but small. - Legibility verdict: PASS + Background: Warm off-white (#FAF8F1) — correct, not pure white + Chrome: Title "line-multi · pygal · anyplot.ai" at top (small but readable), y-axis label "Sales (thousands USD)" on left, x-axis label "Month" at bottom, month tick labels visible; two-column legend in bottom-left corner with tiny but readable text + Data: 4 smooth lines — Electronics in #009E73 (brand green, correct first series), Clothing in orange (#D55E00), Home Goods in blue (#0072B2), Sports in pink-purple (#CC79A7); all follow Okabe-Ito canonical order; data markers (dots) visible at each data point; horizontal y-axis grid lines subtle and appropriate + Legibility verdict: PASS — all text readable against light background; no light-on-light failures; legend text is small but legible Dark render (plot-dark.png): - Background: Warm near-black #1A1A17 — correct, not pure black - Chrome: All text elements (title, axis labels, tick labels, legend text) flip to light/off-white on dark surface — clearly readable. No dark-on-dark failures detected. Grid lines appear as subtle lighter dotted lines on dark surface. - Data: Identical line colors to light render — Electronics #009E73, Clothing orange, Home Goods blue, Sports pink-purple. Only chrome has flipped. - Legibility verdict: PASS + Background: Near-black (#1A1A17) — correct, not pure black + Chrome: Title, axis labels, and tick labels all render in light color on dark background — clearly readable; legend text similarly light; horizontal grid lines visible as subtle white lines; no dark-on-dark failures detected + Data: Colors are identical to light render — Electronics green (#009E73), Clothing orange, Home Goods blue, Sports pink-purple; all remain visually distinct against the dark background; dots visible at each data point + Legibility verdict: PASS — all text clearly readable against dark background; data colors unchanged from light theme; chrome correctly flips to light text/chrome criteria_checklist: visual_quality: - score: 29 + score: 28 max: 30 items: - id: VQ-01 name: Text Legibility - score: 8 + score: 7 max: 8 passed: true - comment: 'All font sizes explicitly set to pixel-based spec: title=28px, labels=22px, - ticks=18px, legend=16px' + comment: All font sizes explicitly set (28px title, 22px labels, 18px ticks, + 16px legend) matching pixel-based guide — minor deduction as sizes are at + minimums and legend reads quite small in practice - id: VQ-02 name: No Overlap score: 6 max: 6 passed: true - comment: Month labels well-spaced, no text collisions + comment: No text overlap; month x-axis labels well-spaced; legend in two-column + layout without crowding - id: VQ-03 name: Element Visibility score: 6 max: 6 passed: true - comment: Dots visible (dots_size=6), lines appropriately thick (stroke_width=3) + comment: Lines clearly visible (stroke_width=3), data dots visible (dots_size=6), + all 4 series distinguishable - id: VQ-04 name: Color Accessibility score: 2 max: 2 passed: true - comment: Okabe-Ito CVD-safe, all 4 series distinguishable + comment: Okabe-Ito palette is CVD-safe; all 4 series have sufficient luminance + contrast against both light and dark backgrounds - id: VQ-05 name: Layout & Canvas score: 3 max: 4 passed: true - comment: 'Good canvas utilization ~60-70%; minor: legend in top-left corner - floats inside plot area' + comment: Plot fills good portion of 4800x2700 canvas; explicit margins (100px + sides, 120px top, 100px bottom); minor deduction for some wasted space around + chart - id: VQ-06 name: Axis Labels & Title score: 2 max: 2 passed: true - comment: Sales (thousands USD) with units; Month descriptive + comment: 'Y-axis: ''Sales (thousands USD)'' with units; X-axis: ''Month''; + title in correct format' - id: VQ-07 name: Palette Compliance score: 2 max: 2 passed: true - comment: 'First series #009E73, Okabe-Ito order 1-4, backgrounds FAF8F1/1A1A17, - both themes chrome-correct' + comment: 'First series #009E73 (brand green); multi-series follows Okabe-Ito + order; background #FAF8F1 light / #1A1A17 dark; chrome correctly theme-adaptive + in both renders' design_excellence: - score: 9 + score: 8 max: 20 items: - id: DE-01 name: Aesthetic Sophistication score: 4 max: 8 - passed: false - comment: Well-configured default with correct palette and theme tokens, but - no exceptional design choices or visual hierarchy + passed: true + comment: Well-configured pygal with custom style — professional appearance, + correct palette, theme-adaptive — but essentially a configured default, + not exceptional design - id: DE-02 name: Visual Refinement - score: 3 + score: 2 max: 6 passed: false - comment: Non-default choices made (show_x_guides=False, explicit margins), - above minimal but retains full-border pygal frame + comment: Y-guides only is a correct choice; generous margins; but full chart + frame/border remains (pygal limitation), grid is moderately visible rather + than whisper-subtle, minimal further refinement - id: DE-03 name: Data Storytelling score: 2 max: 6 passed: false - comment: Four trends displayed but nothing guides viewer; no emphasis distinguishes - dominant/interesting series + comment: Data has an interesting story (Electronics strong growth vs Sports + seasonality vs steady Clothing/Home Goods) but no emphasis, color contrast, + or annotation highlights this — data is displayed, not interpreted spec_compliance: score: 15 max: 15 @@ -129,26 +147,28 @@ review: score: 5 max: 5 passed: true - comment: pygal.Line() with 4 series, correct multi-line comparison chart + comment: Correct multi-line comparison chart (pygal.Line) - id: SC-02 name: Required Features score: 4 max: 4 passed: true - comment: Multiple series, distinct colors, legend, dots at data points + comment: Multiple series, distinct colors, legend, data markers (show_dots=True); + spec's 'consider varying line styles' is optional - id: SC-03 name: Data Mapping score: 3 max: 3 passed: true - comment: Months on x-axis, sales values on y-axis, all data visible + comment: X=months (sequential), Y=sales values; all 4 series fully visible + across 12 data points - id: SC-04 name: Title & Legend score: 3 max: 3 passed: true - comment: line-multi · pygal · anyplot.ai correct; legend labels match series - names + comment: Title 'line-multi · pygal · anyplot.ai' correct; legend labels 'Electronics', + 'Clothing', 'Home Goods', 'Sports' match data data_quality: score: 15 max: 15 @@ -158,22 +178,23 @@ review: score: 6 max: 6 passed: true - comment: 'Diverse trend types: strong upward (Electronics), moderate growth - (Clothing/Home Goods), seasonal arc (Sports)' + comment: 'Shows diverse trend patterns: upward growth (Electronics), seasonal + curve (Sports peaks summer), moderate growth (Clothing, Home Goods); demonstrates + trends, correlations, divergences' - id: DQ-02 name: Realistic Context score: 5 max: 5 passed: true - comment: Monthly sales for 4 product lines over a year — realistic neutral - business scenario + comment: Monthly sales for 4 retail product lines — realistic, neutral, business + scenario - id: DQ-03 name: Appropriate Scale score: 4 max: 4 passed: true - comment: Values 22-110 thousands USD plausible; Electronics highest, Sports - seasonal — factually coherent + comment: Sales range 22-110 thousand USD with plausible seasonal patterns; + Sports summer peak is factually realistic code_quality: score: 10 max: 10 @@ -183,34 +204,33 @@ review: score: 3 max: 3 passed: true - comment: 'Clean linear flow: tokens -> data -> style -> chart -> add series - -> save' + comment: 'Clean structure: imports → theme tokens → data → style → chart → + add series → save; no functions or classes' - id: CQ-02 name: Reproducibility score: 2 max: 2 passed: true - comment: Fully deterministic, hardcoded data lists + comment: All data hardcoded as deterministic lists; no random generation - id: CQ-03 name: Clean Imports score: 2 max: 2 passed: true - comment: os, sys, Path, pygal, Style — all used + comment: os, sys, pathlib.Path, pygal, pygal.style.Style — all used - id: CQ-04 name: Code Elegance score: 2 max: 2 passed: true - comment: Clean Pythonic; sys.path manipulation necessary for import collision - avoidance + comment: Clean, readable Pythonic code; sys.path manipulation is necessary + for import collision avoidance - id: CQ-05 name: Output & API score: 1 max: 1 passed: true - comment: Saves plot-{THEME}.png + plot-{THEME}.html correctly for interactive - library + comment: Saves plot-{THEME}.png and plot-{THEME}.html; current pygal API used library_mastery: score: 7 max: 10 @@ -220,16 +240,17 @@ review: score: 4 max: 5 passed: true - comment: 'Comprehensive idiomatic pygal: Style for all theming, x_labels, - add(), render_to_png(), render() — above default' + comment: 'Idiomatic pygal usage: Line chart, Style object with all tokens, + x_labels, add() for series, render_to_png and render() for HTML' - id: LM-02 name: Distinctive Features score: 3 max: 5 passed: true - comment: Saves both PNG and HTML leveraging pygal's distinctive interactive - JS chart output; selective guide configuration - verdict: REJECTED + comment: HTML interactive output (pygal's distinctive feature — JS interactive + charts) generated correctly; custom Style system used; smooth spline interpolation + is pygal default + verdict: APPROVED impl_tags: dependencies: [] techniques: