From a54bcd7f637567ba31149d78069531c1bffa6f8e Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Tue, 30 Jun 2026 22:57:24 +0000 Subject: [PATCH 1/5] feat(letsplot): implement dumbbell-basic MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Regen from quality 86. Addressed: - canvas: fixed ggsize(1600,900)+scale=3 (4800x2700) → ggsize(800,450)+scale=4 (3200x1800) - grid opacity: replaced full-opacity ink with RULE token (rgba at 10% opacity) - data storytelling: segments now color-coded by change direction (BRAND green for improvements, matte red #AE3030 for Operations regression) - font sizes: aligned to canonical 3200x1800 values (title=15, axis=12, tick=10) - title: added python language token per format requirement --- .../implementations/python/letsplot.py | 72 ++++++++++++------- 1 file changed, 45 insertions(+), 27 deletions(-) diff --git a/plots/dumbbell-basic/implementations/python/letsplot.py b/plots/dumbbell-basic/implementations/python/letsplot.py index 437721e819..34227b242f 100644 --- a/plots/dumbbell-basic/implementations/python/letsplot.py +++ b/plots/dumbbell-basic/implementations/python/letsplot.py @@ -1,7 +1,7 @@ -""" anyplot.ai +"""anyplot.ai dumbbell-basic: Basic Dumbbell Chart -Library: letsplot 4.9.0 | Python 3.14.4 -Quality: 86/100 | Updated: 2026-04-26 +Library: letsplot | Python 3.13 +Quality: pending | Updated: 2026-06-30 """ import os @@ -36,15 +36,14 @@ ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420" INK = "#1A1A17" if THEME == "light" else "#F0EFE8" INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0" -GRID = "#1A1A17" if THEME == "light" else "#F0EFE8" +RULE = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)" -# Okabe-Ito palette — "After" comes first alphabetically → brand green -BRAND = "#009E73" -ACCENT = "#C475FD" -SEGMENT = INK_SOFT +# Imprint palette — position 1 = After (hero), position 2 = Before, position 5 = semantic decline +BRAND = "#009E73" # position 1 — After scores / positive change direction +LAVENDER = "#C475FD" # position 2 — Before scores +DECLINE = "#AE3030" # position 5 — semantic red for regressions -# Data — Employee satisfaction scores before and after policy changes. -# Mix of strong gains, modest shifts, and a regression to show full plot capability. +# Data — Employee satisfaction scores before and after policy changes categories = [ "Engineering", "Marketing", @@ -65,6 +64,9 @@ df = df.sort_values("diff", ascending=True).reset_index(drop=True) df["y_pos"] = range(len(df)) +df_improved = df[df["diff"] > 0] +df_declined = df[df["diff"] <= 0] + df_points = pd.concat( [ pd.DataFrame({"y_pos": df["y_pos"], "value": df["before"], "period": "Before"}), @@ -72,39 +74,55 @@ ] ) -# Plot — horizontal dumbbell +# Scale title fontsize for longer-than-baseline title (floor: 11px) +title = "Employee Satisfaction · dumbbell-basic · python · letsplot · anyplot.ai" +n = len(title) +title_size = max(11, round(16 * 67 / n)) if n > 67 else 16 + +# Plot — horizontal dumbbell; segments color-coded by change direction plot = ( ggplot() - + geom_segment(data=df, mapping=aes(x="before", xend="after", y="y_pos", yend="y_pos"), size=1.5, color=SEGMENT) - + geom_point(data=df_points, mapping=aes(x="value", y="y_pos", color="period"), size=8) - + scale_color_manual(values=[BRAND, ACCENT], name="Period") + + geom_segment( + data=df_improved, + mapping=aes(x="before", xend="after", y="y_pos", yend="y_pos"), + color=BRAND, + size=1.2, + alpha=0.45, + ) + + geom_segment( + data=df_declined, + mapping=aes(x="before", xend="after", y="y_pos", yend="y_pos"), + color=DECLINE, + size=1.2, + alpha=0.55, + ) + + geom_point(data=df_points, mapping=aes(x="value", y="y_pos", color="period"), size=4) + + scale_color_manual(values=[BRAND, LAVENDER], name="Period") + scale_x_continuous(limits=[50, 95]) + scale_y_continuous(breaks=list(range(len(df))), labels=df["category"].tolist()) - + labs( - x="Satisfaction Score", y="Department", title="Employee Satisfaction · dumbbell-basic · letsplot · anyplot.ai" - ) - + ggsize(1600, 900) + + labs(x="Satisfaction Score", y="Department", title=title) + + ggsize(800, 450) + theme_minimal() + theme( plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG), panel_background=element_rect(fill=PAGE_BG, color=PAGE_BG), legend_background=element_rect(fill=ELEVATED_BG, color=INK_SOFT), - panel_grid_major_x=element_line(color=GRID, size=0.3), - panel_grid_minor_x=element_line(color=GRID, size=0.2), + panel_grid_major_x=element_line(color=RULE, size=0.3), + panel_grid_minor_x=element_blank(), panel_grid_major_y=element_blank(), panel_grid_minor_y=element_blank(), axis_line=element_line(color=INK_SOFT), axis_ticks=element_blank(), - axis_title=element_text(size=20, color=INK), - axis_text=element_text(size=16, color=INK_SOFT), - plot_title=element_text(size=24, color=INK, hjust=0.5), - legend_title=element_text(size=18, color=INK), - legend_text=element_text(size=16, color=INK_SOFT), - legend_position=[0.88, 0.18], + axis_title=element_text(size=12, color=INK), + axis_text=element_text(size=10, color=INK_SOFT), + plot_title=element_text(size=title_size, color=INK, hjust=0.5), + legend_title=element_text(size=10, color=INK), + legend_text=element_text(size=10, color=INK_SOFT), + legend_position=[0.92, 0.2], legend_justification=[1, 0], ) ) # Save -ggsave(plot, filename=f"plot-{THEME}.png", path=".", scale=3) +ggsave(plot, filename=f"plot-{THEME}.png", path=".", scale=4) ggsave(plot, filename=f"plot-{THEME}.html", path=".") From 7cea9f96d1b89e9b6249f5e1032147028992e932 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Tue, 30 Jun 2026 22:57:33 +0000 Subject: [PATCH 2/5] chore(letsplot): add metadata for dumbbell-basic --- .../metadata/python/letsplot.yaml | 265 +----------------- 1 file changed, 11 insertions(+), 254 deletions(-) diff --git a/plots/dumbbell-basic/metadata/python/letsplot.yaml b/plots/dumbbell-basic/metadata/python/letsplot.yaml index 02e05ecdc7..a47a956f9b 100644 --- a/plots/dumbbell-basic/metadata/python/letsplot.yaml +++ b/plots/dumbbell-basic/metadata/python/letsplot.yaml @@ -1,264 +1,21 @@ +# Per-library metadata for letsplot implementation of dumbbell-basic +# Auto-generated by impl-generate.yml + library: letsplot language: python specification_id: dumbbell-basic created: '2025-12-23T13:02:17Z' -updated: '2026-04-26T01:53:35Z' -generated_by: claude-opus -workflow_run: 24945502773 +updated: '2026-06-30T22:57:33Z' +generated_by: claude-sonnet +workflow_run: 28480996002 issue: 945 -python_version: 3.14.4 -library_version: 4.9.0 +language_version: 3.13.14 +library_version: 4.11.0 preview_url_light: https://storage.googleapis.com/anyplot-images/plots/dumbbell-basic/python/letsplot/plot-light.png preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/dumbbell-basic/python/letsplot/plot-dark.png preview_html_light: https://storage.googleapis.com/anyplot-images/plots/dumbbell-basic/python/letsplot/plot-light.html preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/dumbbell-basic/python/letsplot/plot-dark.html -quality_score: 86 +quality_score: null review: - strengths: - - 'Perfect spec compliance: correct horizontal dumbbell with geom_segment + geom_point - layers, horizontal orientation, distinct Okabe-Ito colors for before/after dots, - sorted by difference to reveal patterns' - - 'Excellent visual quality: all font sizes explicitly set (title 24pt, axis 20pt, - ticks 16pt, legend 16pt), no overlap, elements clearly visible at export scale' - - 'Complete theme-adaptive chrome: PAGE_BG, ELEVATED_BG, INK, INK_SOFT tokens correctly - applied to all chrome elements in both light and dark renders' - - 'Strong data quality: realistic employee satisfaction scenario with 10 departments, - includes a regression case (Operations: before > after), neutral business context, - plausible 55-90 score range' - - 'Clean code: flat KISS structure, deterministic data, all imports used, saves - plot-{THEME}.png and plot-{THEME}.html' - weaknesses: - - 'Grid color uses full-opacity ink (#1A1A17 in light, #F0EFE8 in dark) instead - of the recommended low-opacity RULE token (rgba(26,26,23,0.10) / rgba(240,239,232,0.10)) - — x-axis grid lines appear prominently dark/bright instead of the intended 10-15% - opacity subtle guide lines' - - 'No visual storytelling: the direction of change (improvement vs. regression) - is not encoded — Operations (negative diff) looks the same as Customer Support - (largest gain). Consider color-coding segments by direction (green for positive, - red-orange for negative) or adding difference labels to create a clear focal point' - - 'Aesthetic sophistication stays at well-configured defaults: no focal point, no - size variation, no typography hierarchy beyond standard sizes — design lacks the - polish needed to exceed 90 points' - image_description: |- - Light render (plot-light.png): - Background: Warm off-white (#FAF8F1) — correct theme surface, not pure white. - Chrome: Title "Employee Satisfaction · dumbbell-basic · letsplot · anyplot.ai" in dark ink, clearly centered. Y-axis label "Department" and x-axis label "Satisfaction Score" in dark text. Department category tick labels on left, numeric score labels (50–95) on bottom — all clearly readable against the light background. Legend "Period" box in the bottom-right with ELEVATED_BG fill. - Data: 10 horizontal dumbbells sorted by difference ascending (lowest diff at bottom, highest at top). Green (#009E73) dots = Before scores, orange (#D55E00) dots = After scores, connected by dark-gray segments (INK_SOFT=#4A4A44). Vertical x-axis grid lines are moderately prominent dark lines — more visible than the recommended 10-15% opacity guides. - Data colors: First series (Before) is #009E73 ✅, second (After) is #D55E00 ✅. - Legibility verdict: PASS — all text clearly readable against #FAF8F1 background. - - Dark render (plot-dark.png): - Background: Warm near-black (#1A1A17) — correct dark theme surface. - Chrome: Title, axis labels, and tick labels all render in light/warm-gray tones (INK=#F0EFE8 for primary text, INK_SOFT=#B8B7B0 for secondary). All text clearly readable against the dark background. Legend box uses #242420 elevated fill with INK_SOFT border. - Data: Identical layout — same 10 horizontal dumbbells sorted the same way. Green (#009E73) and orange (#D55E00) dots visible and bright against the dark background. Connecting segments appear as light-gray (INK_SOFT=#B8B7B0 in dark mode). Vertical grid lines are near-white (#F0EFE8) at full opacity — more prominent than ideal. - Data colors: Identical to light render — #009E73 and #D55E00 unchanged ✅. - Legibility verdict: PASS — no dark-on-dark failures. All text uses light chrome tokens correctly. - criteria_checklist: - visual_quality: - score: 30 - max: 30 - items: - - id: VQ-01 - name: Text Legibility - score: 8 - max: 8 - passed: true - comment: 'All font sizes explicitly set: title=24, axis_title=20, axis_text=16, - legend=16/18. Both renders fully readable.' - - id: VQ-02 - name: No Overlap - score: 6 - max: 6 - passed: true - comment: 10 department labels well-spaced. No dot or text collisions. - - id: VQ-03 - name: Element Visibility - score: 6 - max: 6 - passed: true - comment: size=8 dots clearly visible at export scale. Segments at size=1.5 - clearly connect the points. - - id: VQ-04 - name: Color Accessibility - score: 2 - max: 2 - passed: true - comment: Okabe-Ito green+orange are CVD-safe and have sufficient luminance - difference. - - id: VQ-05 - name: Layout & Canvas - score: 4 - max: 4 - passed: true - comment: 1600x900 at scale=3 = 4800x2700. Plot fills canvas well, margins - balanced, legend inside plot area. - - id: VQ-06 - name: Axis Labels & Title - score: 2 - max: 2 - passed: true - comment: x='Satisfaction Score', y='Department', title includes spec-id and - library. - - id: VQ-07 - name: Palette Compliance - score: 2 - max: 2 - passed: true - comment: 'First series #009E73, second #D55E00 (Okabe-Ito positions 1-2). - Background #FAF8F1 light / #1A1A17 dark. All chrome theme-adaptive.' - design_excellence: - score: 10 - max: 20 - items: - - id: DE-01 - name: Aesthetic Sophistication - score: 4 - max: 8 - passed: false - comment: 'Well-configured defaults: correct palette, theme_minimal base, sorted - data. Not publication-ready — no focal point, no typographic hierarchy beyond - size, no design details beyond standard.' - - id: DE-02 - name: Visual Refinement - score: 3 - max: 6 - passed: false - comment: 'Removes y-axis grid (element_blank), removes tick marks, positions - legend inside. But x-grid uses full-opacity #1A1A17/#F0EFE8 instead of ~10% - opacity — grid lines appear prominently dark/bright rather than subtle.' - - id: DE-03 - name: Data Storytelling - score: 3 - max: 6 - passed: false - comment: Sorted by difference which creates natural rank order and reveals - Operations regression vs. Customer Support gain. Above default, but no visual - emphasis on direction — improving and regressing departments look identical - in style. - spec_compliance: - score: 15 - max: 15 - items: - - id: SC-01 - name: Plot Type - score: 5 - max: 5 - passed: true - comment: 'Correct horizontal dumbbell chart: geom_segment for connections, - geom_point for endpoints.' - - id: SC-02 - name: Required Features - score: 4 - max: 4 - passed: true - comment: Two distinct colored dots per category, thin connecting line, horizontal - orientation, categories on y-axis, values on x-axis, sorted by difference. - - id: SC-03 - name: Data Mapping - score: 3 - max: 3 - passed: true - comment: Satisfaction Score on x-axis, Department on y-axis. All 10 categories - visible. Correct before/after mapping. - - id: SC-04 - name: Title & Legend - score: 3 - max: 3 - passed: true - comment: 'Title: ''Employee Satisfaction · dumbbell-basic · letsplot · anyplot.ai''. - Legend shows ''Period'' with Before/After labels matching dot colors.' - data_quality: - score: 15 - max: 15 - items: - - id: DQ-01 - name: Feature Coverage - score: 6 - max: 6 - passed: true - comment: 'Shows all dumbbell aspects: large differences (Customer Support - +25), small differences (Legal +1), and a regression (Operations -7). Full - range of the plot type demonstrated.' - - id: DQ-02 - name: Realistic Context - score: 5 - max: 5 - passed: true - comment: Employee satisfaction scores 0-100 for named business departments - before/after policy changes. Neutral, plausible, real-world scenario. - - id: DQ-03 - name: Appropriate Scale - score: 4 - max: 4 - passed: true - comment: Scores in 55-90 range, realistic for satisfaction surveys. Axis 50-95 - shows full data context. - code_quality: - score: 10 - max: 10 - items: - - id: CQ-01 - name: KISS Structure - score: 3 - max: 3 - passed: true - comment: 'Flat script: imports → theme tokens → data → plot → save. No functions - or classes.' - - id: CQ-02 - name: Reproducibility - score: 2 - max: 2 - passed: true - comment: All data is hardcoded static lists — fully deterministic, no randomness. - - id: CQ-03 - name: Clean Imports - score: 2 - max: 2 - passed: true - comment: All imported symbols (element_blank, element_line, element_rect, - element_text, etc.) are used in the theme configuration. - - id: CQ-04 - name: Code Elegance - score: 2 - max: 2 - passed: true - comment: Clean and Pythonic. Wide-to-long reshape via pd.concat is the correct - approach for multi-series color mapping in letsplot. - - id: CQ-05 - name: Output & API - score: 1 - max: 1 - passed: true - comment: Saves plot-{THEME}.png (scale=3) and plot-{THEME}.html. Current letsplot - API used. - library_mastery: - score: 6 - max: 10 - items: - - id: LM-01 - name: Idiomatic Usage - score: 4 - max: 5 - passed: true - comment: 'Proper ggplot grammar: layered geom_segment + geom_point with aes() - mappings, scale_color_manual, scale_*_continuous with limits/breaks/labels, - theme() customization on top of theme_minimal(). Good idiomatic approach.' - - id: LM-02 - name: Distinctive Features - score: 2 - max: 5 - passed: false - comment: Uses letsplot's HTML export capability and ggplot grammar-of-graphics - layer composition. geom_segment for dumbbell connections is the correct - letsplot idiom. Not exceptional but above generic usage. - verdict: REJECTED -impl_tags: - dependencies: [] - techniques: - - layer-composition - - html-export - patterns: - - data-generation - - wide-to-long - dataprep: [] - styling: [] + strengths: [] + weaknesses: [] From b0b286cdbf72daefc67dd10143d068aa59965150 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Tue, 30 Jun 2026 23:04:07 +0000 Subject: [PATCH 3/5] chore(letsplot): update quality score 86 and review feedback for dumbbell-basic --- .../implementations/python/letsplot.py | 6 +- .../metadata/python/letsplot.yaml | 253 +++++++++++++++++- 2 files changed, 249 insertions(+), 10 deletions(-) diff --git a/plots/dumbbell-basic/implementations/python/letsplot.py b/plots/dumbbell-basic/implementations/python/letsplot.py index 34227b242f..37643f6549 100644 --- a/plots/dumbbell-basic/implementations/python/letsplot.py +++ b/plots/dumbbell-basic/implementations/python/letsplot.py @@ -1,7 +1,7 @@ -"""anyplot.ai +""" anyplot.ai dumbbell-basic: Basic Dumbbell Chart -Library: letsplot | Python 3.13 -Quality: pending | Updated: 2026-06-30 +Library: letsplot 4.11.0 | Python 3.13.14 +Quality: 86/100 | Updated: 2026-06-30 """ import os diff --git a/plots/dumbbell-basic/metadata/python/letsplot.yaml b/plots/dumbbell-basic/metadata/python/letsplot.yaml index a47a956f9b..b0c00aefc6 100644 --- a/plots/dumbbell-basic/metadata/python/letsplot.yaml +++ b/plots/dumbbell-basic/metadata/python/letsplot.yaml @@ -1,11 +1,8 @@ -# Per-library metadata for letsplot implementation of dumbbell-basic -# Auto-generated by impl-generate.yml - library: letsplot language: python specification_id: dumbbell-basic created: '2025-12-23T13:02:17Z' -updated: '2026-06-30T22:57:33Z' +updated: '2026-06-30T23:04:07Z' generated_by: claude-sonnet workflow_run: 28480996002 issue: 945 @@ -15,7 +12,249 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/dumbbell- preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/dumbbell-basic/python/letsplot/plot-dark.png preview_html_light: https://storage.googleapis.com/anyplot-images/plots/dumbbell-basic/python/letsplot/plot-light.html preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/dumbbell-basic/python/letsplot/plot-dark.html -quality_score: null +quality_score: 86 review: - strengths: [] - weaknesses: [] + strengths: + - 'Semantic segment color encoding: green segments for improvements, red for the + single declining department (Operations) — creates a clear directional narrative + beyond what simple dot coloring achieves' + - Sorted by difference (ascending) so the only declining department lands at the + bottom and the largest improvement tops the chart — excellent data storytelling + choice + - 'Fully compliant Imprint palette: #009E73 (brand green) for first series, #C475FD + (lavender) for second, #AE3030 (matte red) for decline connector — all from canonical + positions' + - 'Complete theme-adaptive chrome: PAGE_BG, ELEVATED_BG, INK, INK_SOFT tokens wired + through to all non-data elements; both renders legible with no dark-on-dark issues' + - 'Idiomatic letsplot grammar: separate geom_segment calls for improved/declined + subsets, scale_y_continuous with explicit breaks/labels for the categorical y-axis' + - '10 realistic department categories with plausible satisfaction scores (55–89) + and one deliberate decline (Operations: 72→65) adds authenticity' + - Title correctly formatted with descriptive prefix and title_size scaled down via + the 67-char formula to prevent overflow + weaknesses: + - Marker size (size=4) is adequate but below the 'sparse data → prominent markers' + guideline for a 10-point dumbbell — increase to size=5 or size=6 to give each + dot more visual weight + - 'Design Excellence is solid but not exceptional: the legend box border (color=INK_SOFT + on element_rect) adds visual clutter — consider removing the border or using a + hairline; also the legend floated at [0.92, 0.2] intrudes slightly into the plot''s + data region near the Finance/Operations rows' + - 'Library Mastery could be elevated: letsplot supports geom_lollipop or custom + stat layers that could make the dumbbell construction more idiomatic; the current + geom_segment+geom_point approach is correct but generic across ggplot-family libraries' + - Connecting segment alpha for improved rows (alpha=0.45) is quite low — segments + feel lighter than the dots, weakening the visual connection; 0.6–0.7 would better + tie the dots together without competing + image_description: |- + Light render (plot-light.png): + Background: Warm off-white #FAF8F1 — correct, not pure white + Chrome: Title "Employee Satisfaction · dumbbell-basic · python · letsplot · anyplot.ai" in dark ink at top-center, well-proportioned. Y-axis label "Department" rotated vertically on left in dark text. X-axis label "Satisfaction Score" at bottom in dark text. Tick labels: department names on y-axis (Customer Support, Engineering, Product, R&D, Marketing, Sales, HR, Finance, Legal, Operations) and numeric values (50, 55, 60, 65, 70, 75, 80, 85, 90, 95) on x-axis — all clearly readable. + Data: 10 dumbbell rows sorted by ascending diff. Green dots (#009E73, mapped to "Before") at start values and lavender dots (#C475FD, mapped to "After") at end values. Connecting segments: green/teal for 9 improved departments (alpha=0.45), matte red for Operations decline (alpha=0.55). Legend in lower-right area with elevated background showing "Before" (green dot) and "After" (lavender dot). Subtle vertical grid lines at x-axis major breaks. + Legibility verdict: PASS — all text readable against the warm off-white background + + Dark render (plot-dark.png): + Background: Warm near-black #1A1A17 — correct, not pure black + Chrome: Title rendered in near-white (#F0EFE8) ink, clearly legible against the dark surface. Y-axis and x-axis labels in light-grey text (#B8B7B0 INK_SOFT), readable. Department tick labels on y-axis and numeric tick labels on x-axis all rendered in INK_SOFT light grey — fully legible, no dark-on-dark failure. Legend box has elevated dark background (#242420) with visible border, text readable. + Data: Colors are identical to the light render — #009E73 green dots for Before, #C475FD lavender dots for After, green segments for improvements, red segment for Operations decline. Imprint data palette is theme-independent as required. + Legibility verdict: PASS — all text readable against the warm near-black background; no dark-on-dark issues detected + criteria_checklist: + visual_quality: + score: 28 + max: 30 + items: + - id: VQ-01 + name: Text Legibility + score: 7 + max: 8 + passed: true + comment: Title, axis labels and tick labels all clearly readable in both themes + at appropriate sizes; minor point on marker prominence + - id: VQ-02 + name: No Overlap + score: 6 + max: 6 + passed: true + comment: No text or element overlaps; department labels well-spaced on y-axis + - id: VQ-03 + name: Element Visibility + score: 5 + max: 6 + passed: true + comment: Markers visible but size=4 is below the recommended prominence level + for sparse 10-point data; segments slightly faint at alpha=0.45 + - id: VQ-04 + name: Color Accessibility + score: 2 + max: 2 + passed: true + comment: 'Both colors (#009E73 and #C475FD) are CVD-safe Imprint palette members + with good contrast on both surfaces' + - id: VQ-05 + name: Layout & Canvas + score: 4 + max: 4 + passed: true + comment: Canvas gate passed (3200x1800); layout proportions good; title fits + within plot width; no clipping + - id: VQ-06 + name: Axis Labels & Title + score: 2 + max: 2 + passed: true + comment: Title uses correct descriptive-prefix format; x-axis 'Satisfaction + Score' and y-axis 'Department' are clear + - id: VQ-07 + name: Palette Compliance + score: 2 + max: 2 + passed: true + comment: 'First series=green #009E73, second=#C475FD; segment decline uses + #AE3030 (position 5); backgrounds correct in both themes' + design_excellence: + score: 12 + max: 20 + items: + - id: DE-01 + name: Aesthetic Sophistication + score: 5 + max: 8 + passed: true + comment: Semantic segment color coding by change direction is a sophisticated + design choice; otherwise conventional treatment + - id: DE-02 + name: Visual Refinement + score: 3 + max: 6 + passed: true + comment: Axis ticks removed, only x-axis grid lines, elevated legend background; + legend border adds minor clutter + - id: DE-03 + name: Data Storytelling + score: 4 + max: 6 + passed: true + comment: Sort by difference creates clear narrative; single red segment makes + Operations decline immediately visible; effective focal point + spec_compliance: + score: 15 + max: 15 + items: + - id: SC-01 + name: Plot Type + score: 5 + max: 5 + passed: true + comment: Correct dumbbell chart (horizontal connected dot plot) with geom_segment + + geom_point + - id: SC-02 + name: Required Features + score: 4 + max: 4 + passed: true + comment: Two distinct colored dots per category, connected by line, horizontal + orientation, sorted by difference + - id: SC-03 + name: Data Mapping + score: 3 + max: 3 + passed: true + comment: X=satisfaction score, Y=department category; all data visible within + x-limits 50-95 + - id: SC-04 + name: Title & Legend + score: 3 + max: 3 + passed: true + comment: Title has correct format with descriptive prefix; legend labels 'Before' + and 'After' clearly identified + data_quality: + score: 15 + max: 15 + items: + - id: DQ-01 + name: Feature Coverage + score: 6 + max: 6 + passed: true + comment: Shows both start/end values, connecting lines, directional encoding, + 10 categories — full dumbbell feature set + - id: DQ-02 + name: Realistic Context + score: 5 + max: 5 + passed: true + comment: Employee satisfaction before/after policy changes is the spec's own + example use case; scores realistic; one decline adds authenticity + - id: DQ-03 + name: Appropriate Scale + score: 4 + max: 4 + passed: true + comment: 10 categories within the 5-20 spec range; satisfaction scores 55-89 + are plausible for this domain + code_quality: + score: 10 + max: 10 + items: + - id: CQ-01 + name: KISS Structure + score: 3 + max: 3 + passed: true + comment: Linear top-to-bottom flow; no functions or classes; minimal complexity + - id: CQ-02 + name: Reproducibility + score: 2 + max: 2 + passed: true + comment: Hardcoded data — fully deterministic, no seed needed + - id: CQ-03 + name: Clean Imports + score: 2 + max: 2 + passed: true + comment: All imports used; no unused imports + - id: CQ-04 + name: Code Elegance + score: 2 + max: 2 + passed: true + comment: Two geom_segment calls (improved/declined) is a reasonable split + for semantic coloring; no fake UI + - id: CQ-05 + name: Output & API + score: 1 + max: 1 + passed: true + comment: Saves plot-{THEME}.png and plot-{THEME}.html with correct path parameter + library_mastery: + score: 6 + max: 10 + items: + - id: LM-01 + name: Idiomatic Usage + score: 4 + max: 5 + passed: true + comment: 'Correct ggplot grammar: separate data= per geom, scale_y_continuous + with breaks/labels for categorical axis, element_blank() for tick removal' + - id: LM-02 + name: Distinctive Features + score: 2 + max: 5 + passed: false + comment: No letsplot-distinctive features; ggsize() is used correctly but + the geom_segment+geom_point dumbbell approach is generic across ggplot-family + libraries + verdict: APPROVED +impl_tags: + dependencies: [] + techniques: + - layer-composition + - html-export + patterns: + - wide-to-long + dataprep: [] + styling: + - alpha-blending From 4793057e227d03736a4133076c11d9bada027603 Mon Sep 17 00:00:00 2001 From: "claude[bot]" <41898282+claude[bot]@users.noreply.github.com> Date: Tue, 30 Jun 2026 23:06:33 +0000 Subject: [PATCH 4/5] fix(letsplot): address review feedback for dumbbell-basic Attempt 1/3 - fixes based on AI review --- .../implementations/python/letsplot.py | 36 +++++++++++++++---- 1 file changed, 29 insertions(+), 7 deletions(-) diff --git a/plots/dumbbell-basic/implementations/python/letsplot.py b/plots/dumbbell-basic/implementations/python/letsplot.py index 37643f6549..12fd3d6954 100644 --- a/plots/dumbbell-basic/implementations/python/letsplot.py +++ b/plots/dumbbell-basic/implementations/python/letsplot.py @@ -1,4 +1,4 @@ -""" anyplot.ai +"""anyplot.ai dumbbell-basic: Basic Dumbbell Chart Library: letsplot 4.11.0 | Python 3.13.14 Quality: 86/100 | Updated: 2026-06-30 @@ -19,6 +19,7 @@ ggplot, ggsize, labs, + layer_tooltips, scale_color_manual, scale_x_continuous, scale_y_continuous, @@ -69,8 +70,24 @@ df_points = pd.concat( [ - pd.DataFrame({"y_pos": df["y_pos"], "value": df["before"], "period": "Before"}), - pd.DataFrame({"y_pos": df["y_pos"], "value": df["after"], "period": "After"}), + pd.DataFrame( + { + "y_pos": df["y_pos"], + "value": df["before"], + "period": "Before", + "category": df["category"].values, + "diff": df["diff"].values, + } + ), + pd.DataFrame( + { + "y_pos": df["y_pos"], + "value": df["after"], + "period": "After", + "category": df["category"].values, + "diff": df["diff"].values, + } + ), ] ) @@ -87,16 +104,21 @@ mapping=aes(x="before", xend="after", y="y_pos", yend="y_pos"), color=BRAND, size=1.2, - alpha=0.45, + alpha=0.65, ) + geom_segment( data=df_declined, mapping=aes(x="before", xend="after", y="y_pos", yend="y_pos"), color=DECLINE, size=1.2, - alpha=0.55, + alpha=0.65, + ) + + geom_point( + data=df_points, + mapping=aes(x="value", y="y_pos", color="period"), + size=5, + tooltips=layer_tooltips().line("@category").line("@period: @value").line("Change: @diff"), ) - + geom_point(data=df_points, mapping=aes(x="value", y="y_pos", color="period"), size=4) + scale_color_manual(values=[BRAND, LAVENDER], name="Period") + scale_x_continuous(limits=[50, 95]) + scale_y_continuous(breaks=list(range(len(df))), labels=df["category"].tolist()) @@ -106,7 +128,7 @@ + theme( plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG), panel_background=element_rect(fill=PAGE_BG, color=PAGE_BG), - legend_background=element_rect(fill=ELEVATED_BG, color=INK_SOFT), + legend_background=element_rect(fill=ELEVATED_BG, color="transparent"), panel_grid_major_x=element_line(color=RULE, size=0.3), panel_grid_minor_x=element_blank(), panel_grid_major_y=element_blank(), From b5424a894800bd51c04a1ce89f863cbbdd7bb719 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Tue, 30 Jun 2026 23:13:33 +0000 Subject: [PATCH 5/5] chore(letsplot): update quality score 91 and review feedback for dumbbell-basic --- .../implementations/python/letsplot.py | 4 +- .../metadata/python/letsplot.yaml | 191 +++++++++--------- 2 files changed, 100 insertions(+), 95 deletions(-) diff --git a/plots/dumbbell-basic/implementations/python/letsplot.py b/plots/dumbbell-basic/implementations/python/letsplot.py index 12fd3d6954..b013c608bc 100644 --- a/plots/dumbbell-basic/implementations/python/letsplot.py +++ b/plots/dumbbell-basic/implementations/python/letsplot.py @@ -1,7 +1,7 @@ -"""anyplot.ai +""" anyplot.ai dumbbell-basic: Basic Dumbbell Chart Library: letsplot 4.11.0 | Python 3.13.14 -Quality: 86/100 | Updated: 2026-06-30 +Quality: 91/100 | Updated: 2026-06-30 """ import os diff --git a/plots/dumbbell-basic/metadata/python/letsplot.yaml b/plots/dumbbell-basic/metadata/python/letsplot.yaml index b0c00aefc6..1d8742b17a 100644 --- a/plots/dumbbell-basic/metadata/python/letsplot.yaml +++ b/plots/dumbbell-basic/metadata/python/letsplot.yaml @@ -2,7 +2,7 @@ library: letsplot language: python specification_id: dumbbell-basic created: '2025-12-23T13:02:17Z' -updated: '2026-06-30T23:04:07Z' +updated: '2026-06-30T23:13:33Z' generated_by: claude-sonnet workflow_run: 28480996002 issue: 945 @@ -12,130 +12,129 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/dumbbell- preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/dumbbell-basic/python/letsplot/plot-dark.png preview_html_light: https://storage.googleapis.com/anyplot-images/plots/dumbbell-basic/python/letsplot/plot-light.html preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/dumbbell-basic/python/letsplot/plot-dark.html -quality_score: 86 +quality_score: 91 review: strengths: - - 'Semantic segment color encoding: green segments for improvements, red for the - single declining department (Operations) — creates a clear directional narrative - beyond what simple dot coloring achieves' - - Sorted by difference (ascending) so the only declining department lands at the - bottom and the largest improvement tops the chart — excellent data storytelling - choice - - 'Fully compliant Imprint palette: #009E73 (brand green) for first series, #C475FD - (lavender) for second, #AE3030 (matte red) for decline connector — all from canonical - positions' - - 'Complete theme-adaptive chrome: PAGE_BG, ELEVATED_BG, INK, INK_SOFT tokens wired - through to all non-data elements; both renders legible with no dark-on-dark issues' - - 'Idiomatic letsplot grammar: separate geom_segment calls for improved/declined - subsets, scale_y_continuous with explicit breaks/labels for the categorical y-axis' - - '10 realistic department categories with plausible satisfaction scores (55–89) - and one deliberate decline (Operations: 72→65) adds authenticity' - - Title correctly formatted with descriptive prefix and title_size scaled down via - the 67-char formula to prevent overflow + - Correct horizontal dumbbell layout with departments on Y-axis and satisfaction + scores on X-axis + - 'Semantic color coding: green segments for improvement, red (#AE3030 semantic + anchor) for Operations decline — immediately communicates direction' + - Data sorted ascending by diff so viewer reads most-to-least improved top-to-bottom, + strong visual hierarchy + - 'Full theme-adaptive chrome: both renders pass legibility checks with warm off-white + / near-black backgrounds' + - layer_tooltips() leverages letsplot interactive HTML output — shows category, + period, value, and delta + - 'All Imprint palette positions used correctly: Before=#009E73 (pos 1), After=#C475FD + (pos 2), decline segment=#AE3030 (semantic anchor)' + - Title includes descriptive prefix Employee Satisfaction with proper mandated format + - Deterministic hardcoded data covers both improvement and decline scenarios weaknesses: - - Marker size (size=4) is adequate but below the 'sparse data → prominent markers' - guideline for a 10-point dumbbell — increase to size=5 or size=6 to give each - dot more visual weight - - 'Design Excellence is solid but not exceptional: the legend box border (color=INK_SOFT - on element_rect) adds visual clutter — consider removing the border or using a - hairline; also the legend floated at [0.92, 0.2] intrudes slightly into the plot''s - data region near the Finance/Operations rows' - - 'Library Mastery could be elevated: letsplot supports geom_lollipop or custom - stat layers that could make the dumbbell construction more idiomatic; the current - geom_segment+geom_point approach is correct but generic across ggplot-family libraries' - - Connecting segment alpha for improved rows (alpha=0.45) is quite low — segments - feel lighter than the dots, weakening the visual connection; 0.6–0.7 would better - tie the dots together without competing + - Two separate geom_segment calls (df_improved / df_declined) rather than a single + geom_segment with a direction color aesthetic — the more idiomatic ggplot/letsplot + approach would add a direction column and map color=aes(direction) inside one + layer + - DE-02 refinement is solid but legend border color is transparent rather than INK_SOFT + — minor polish gap + - LM-02 could be elevated by using geom_lollipop or a custom stat if available, + or annotating the delta value directly on each segment for richer storytelling image_description: |- Light render (plot-light.png): Background: Warm off-white #FAF8F1 — correct, not pure white - Chrome: Title "Employee Satisfaction · dumbbell-basic · python · letsplot · anyplot.ai" in dark ink at top-center, well-proportioned. Y-axis label "Department" rotated vertically on left in dark text. X-axis label "Satisfaction Score" at bottom in dark text. Tick labels: department names on y-axis (Customer Support, Engineering, Product, R&D, Marketing, Sales, HR, Finance, Legal, Operations) and numeric values (50, 55, 60, 65, 70, 75, 80, 85, 90, 95) on x-axis — all clearly readable. - Data: 10 dumbbell rows sorted by ascending diff. Green dots (#009E73, mapped to "Before") at start values and lavender dots (#C475FD, mapped to "After") at end values. Connecting segments: green/teal for 9 improved departments (alpha=0.45), matte red for Operations decline (alpha=0.55). Legend in lower-right area with elevated background showing "Before" (green dot) and "After" (lavender dot). Subtle vertical grid lines at x-axis major breaks. - Legibility verdict: PASS — all text readable against the warm off-white background + Chrome: Title "Employee Satisfaction · dumbbell-basic · python · letsplot · anyplot.ai" centered in dark ink (#1A1A17), font scaled to ~15pt for long string, fully visible. Y-axis label "Department" in dark ink, X-axis label "Satisfaction Score" in dark ink — both explicitly sized at 12pt. Y-axis category tick labels (department names) in muted #4A4A44 at 10pt, readable. X-axis numeric tick labels (50–95) in same muted tone, readable. No text-on-text overlap anywhere. + Data: 10 horizontal dumbbells. Green (#009E73, pos 1) filled circles = Before scores. Lavender (#C475FD, pos 2) filled circles = After scores. Connecting segments green for 9 improved departments, red (#AE3030, semantic anchor) for Operations (declined). Segment alpha=0.65, markers size=5 — both clearly visible. Sorted ascending by diff so Operations (−7) is at bottom, Customer Support (+25) at top. Legend "Period" with Before/After entries positioned bottom-right, does not overlap data. + Legibility verdict: PASS — all elements fully legible against warm off-white background. Dark render (plot-dark.png): - Background: Warm near-black #1A1A17 — correct, not pure black - Chrome: Title rendered in near-white (#F0EFE8) ink, clearly legible against the dark surface. Y-axis and x-axis labels in light-grey text (#B8B7B0 INK_SOFT), readable. Department tick labels on y-axis and numeric tick labels on x-axis all rendered in INK_SOFT light grey — fully legible, no dark-on-dark failure. Legend box has elevated dark background (#242420) with visible border, text readable. - Data: Colors are identical to the light render — #009E73 green dots for Before, #C475FD lavender dots for After, green segments for improvements, red segment for Operations decline. Imprint data palette is theme-independent as required. - Legibility verdict: PASS — all text readable against the warm near-black background; no dark-on-dark issues detected + Background: Near-black #1A1A17 — correct, warm near-black + Chrome: Title in light #F0EFE8 — clearly readable. "Department" and "Satisfaction Score" axis labels in light ink. Y-axis category labels and X-axis tick labels in #B8B7B0 muted light — all readable. Legend box has elevated #242420 dark background with light text. No dark-on-dark failures observed. + Data: Data colors are identical to light render — Before dots remain #009E73, After dots remain #C475FD, improved segments green, Operations segment red. All markers and segments clearly distinguishable against the near-black background. + Legibility verdict: PASS — both theme-adaptive chrome and data elements fully legible. criteria_checklist: visual_quality: - score: 28 + score: 30 max: 30 items: - id: VQ-01 name: Text Legibility - score: 7 + score: 8 max: 8 passed: true - comment: Title, axis labels and tick labels all clearly readable in both themes - at appropriate sizes; minor point on marker prominence + comment: 'All font sizes explicitly set: title scaled by formula (16*67/71=15pt), + axis titles 12pt, tick labels 10pt. Both renders fully legible at canvas + size and when scaled to mobile width.' - id: VQ-02 name: No Overlap score: 6 max: 6 passed: true - comment: No text or element overlaps; department labels well-spaced on y-axis + comment: No overlapping elements. Department labels well-spaced on Y-axis. + Legend positioned clear of data area. - id: VQ-03 name: Element Visibility - score: 5 + score: 6 max: 6 passed: true - comment: Markers visible but size=4 is below the recommended prominence level - for sparse 10-point data; segments slightly faint at alpha=0.45 + comment: 10 data points (sparse), size=5 in letsplot units — dots prominent + and clearly distinguishable. Segments at alpha=0.65 visible without dominating. - id: VQ-04 name: Color Accessibility score: 2 max: 2 passed: true - comment: 'Both colors (#009E73 and #C475FD) are CVD-safe Imprint palette members - with good contrast on both surfaces' + comment: Green (#009E73) and lavender (#C475FD) are perceptually distinct + under CVD. Red segment (#AE3030) for Operations uses position redundancy + (always at bottom). Not relying on red-green as sole signal. - id: VQ-05 name: Layout & Canvas score: 4 max: 4 passed: true - comment: Canvas gate passed (3200x1800); layout proportions good; title fits - within plot width; no clipping + comment: 3200x1800 canvas (ggsize 800x450, scale=4). Plot fills canvas well, + balanced margins. Legend well-integrated. No canvas gate failure. - id: VQ-06 name: Axis Labels & Title score: 2 max: 2 passed: true - comment: Title uses correct descriptive-prefix format; x-axis 'Satisfaction - Score' and y-axis 'Department' are clear + comment: 'X: ''Satisfaction Score'' (descriptive). Y: ''Department'' (descriptive). + Title: ''Employee Satisfaction · dumbbell-basic · python · letsplot · anyplot.ai'' + — correct format with descriptive prefix.' - id: VQ-07 name: Palette Compliance score: 2 max: 2 passed: true - comment: 'First series=green #009E73, second=#C475FD; segment decline uses - #AE3030 (position 5); backgrounds correct in both themes' + comment: 'Before=#009E73 (position 1, first series). After=#C475FD (position + 2). Decline segment uses #AE3030 semantic anchor correctly. Backgrounds + #FAF8F1 light / #1A1A17 dark. Chrome is theme-correct in both renders.' design_excellence: - score: 12 + score: 14 max: 20 items: - id: DE-01 name: Aesthetic Sophistication - score: 5 + score: 6 max: 8 passed: true - comment: Semantic segment color coding by change direction is a sophisticated - design choice; otherwise conventional treatment + comment: Thoughtful semantic color coding (green improvement vs red decline), + descriptive title prefix, sorted data revealing pattern. Clearly above defaults + but not FiveThirtyEight-level polish. - id: DE-02 name: Visual Refinement - score: 3 + score: 4 max: 6 passed: true - comment: Axis ticks removed, only x-axis grid lines, elevated legend background; - legend border adds minor clutter + comment: Y-axis grid removed, subtle X-axis grid only, ticks removed (element_blank), + theme_minimal base, strategic legend placement. Good refinement above defaults. - id: DE-03 name: Data Storytelling score: 4 max: 6 passed: true - comment: Sort by difference creates clear narrative; single red segment makes - Operations decline immediately visible; effective focal point + comment: Sort by diff magnitude with red accent on Operations creates immediate + visual hierarchy — viewer sees most-improved vs outlier decline without + annotations. spec_compliance: score: 15 max: 15 @@ -145,29 +144,29 @@ review: score: 5 max: 5 passed: true - comment: Correct dumbbell chart (horizontal connected dot plot) with geom_segment - + geom_point + comment: Correct horizontal dumbbell chart with dots connected by segments. - id: SC-02 name: Required Features score: 4 max: 4 passed: true - comment: Two distinct colored dots per category, connected by line, horizontal - orientation, sorted by difference + comment: Two dots per category (before/after), connecting segment, distinct + colors for each endpoint, horizontal orientation, sorted by difference. - id: SC-03 name: Data Mapping score: 3 max: 3 passed: true - comment: X=satisfaction score, Y=department category; all data visible within - x-limits 50-95 + comment: X=satisfaction score, Y=department. All 10 departments visible. X-range + 50–95 shows full data. - id: SC-04 name: Title & Legend score: 3 max: 3 passed: true - comment: Title has correct format with descriptive prefix; legend labels 'Before' - and 'After' clearly identified + comment: 'Title: ''Employee Satisfaction · dumbbell-basic · python · letsplot + · anyplot.ai''. Legend: ''Period'' with ''Before'' / ''After'' labels — + correct.' data_quality: score: 15 max: 15 @@ -177,22 +176,23 @@ review: score: 6 max: 6 passed: true - comment: Shows both start/end values, connecting lines, directional encoding, - 10 categories — full dumbbell feature set + comment: Shows improvements of varying magnitude AND one decline (Operations). + Range from +1 (Legal) to +25 (Customer Support) demonstrates all aspects + of the dumbbell chart including directionality. - id: DQ-02 name: Realistic Context score: 5 max: 5 passed: true - comment: Employee satisfaction before/after policy changes is the spec's own - example use case; scores realistic; one decline adds authenticity + comment: Employee satisfaction by department before/after policy changes — + real, neutral, business scenario. - id: DQ-03 name: Appropriate Scale score: 4 max: 4 passed: true - comment: 10 categories within the 5-20 spec range; satisfaction scores 55-89 - are plausible for this domain + comment: Satisfaction scores 55–90 realistic on a 0–100 scale. Differences + (1–25 points) plausible for a policy change impact. code_quality: score: 10 max: 10 @@ -202,34 +202,35 @@ review: score: 3 max: 3 passed: true - comment: Linear top-to-bottom flow; no functions or classes; minimal complexity + comment: Clean Imports → Tokens → Data → Plot → Save structure. No functions + or classes. - id: CQ-02 name: Reproducibility score: 2 max: 2 passed: true - comment: Hardcoded data — fully deterministic, no seed needed + comment: All data hardcoded, fully deterministic — no random elements. - id: CQ-03 name: Clean Imports score: 2 max: 2 passed: true - comment: All imports used; no unused imports + comment: All imported symbols are used. No unused imports. - id: CQ-04 name: Code Elegance score: 2 max: 2 passed: true - comment: Two geom_segment calls (improved/declined) is a reasonable split - for semantic coloring; no fake UI + comment: Clean, appropriate complexity. Two-segment-group approach for semantic + coloring is a valid pattern, not over-engineering. - id: CQ-05 name: Output & API score: 1 max: 1 passed: true - comment: Saves plot-{THEME}.png and plot-{THEME}.html with correct path parameter + comment: Saves plot-{THEME}.png and plot-{THEME}.html. No deprecated API usage. library_mastery: - score: 6 + score: 7 max: 10 items: - id: LM-01 @@ -237,22 +238,26 @@ review: score: 4 max: 5 passed: true - comment: 'Correct ggplot grammar: separate data= per geom, scale_y_continuous - with breaks/labels for categorical axis, element_blank() for tick removal' + comment: 'Correct ggplot grammar, ggsize(), ggsave() with scale, scale_color_manual, + scale_y_continuous with explicit breaks/labels. Minor deduction: splitting + into df_improved/df_declined rather than using a direction aesthetic column + is slightly less idiomatic than a single geom_segment with color=aes(''direction'').' - id: LM-02 name: Distinctive Features - score: 2 + score: 3 max: 5 - passed: false - comment: No letsplot-distinctive features; ggsize() is used correctly but - the geom_segment+geom_point dumbbell approach is generic across ggplot-family - libraries + passed: true + comment: layer_tooltips() with multi-field display (category, period, value, + change delta) is distinctively letsplot — this feature does not exist in + matplotlib or plotnine. HTML export via ggsave is also letsplot-specific. verdict: APPROVED impl_tags: dependencies: [] techniques: - - layer-composition + - hover-tooltips - html-export + - manual-ticks + - layer-composition patterns: - wide-to-long dataprep: []