feat(plotnine): implement icicle-basic

[github-actions]

Implementation: icicle-basic - plotnine

Implements the plotnine version of icicle-basic.

File: plots/icicle-basic/implementations/plotnine.py

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

The plot displays a horizontal icicle chart visualizing a file system hierarchy. At the top is a large dark blue rectangle labeled "root" spanning the full width. Below it are three medium blue rectangles for "Projects", "Photos", and "Documents" (level 1), proportionally sized by their total values. Level 2 shows yellow rectangles including "WebApp", "DataSci", "Mobile", "Vacation", "Family", "Events", "Reports", and "Invoices". Level 3 (bottom row, light yellow) shows "Backend", "Frontend", and "Models" under WebApp/DataSci. White borders separate rectangles. A legend on the right shows "Hierarchy Level" with values 0-3. The title "icicle-basic · plotnine · pyplots.ai" appears at the top in bold. Some small rectangles (Notes, Config, Scripts) have no visible labels due to space constraints.

Quality Score: 82/100

Criteria Checklist

Visual Quality (32/40 pts)

• VQ-01: Text Legibility (8/10) - Title is large and bold, labels are readable but could be larger for optimal visibility
• VQ-02: No Overlap (8/8) - No overlapping text; small rectangles correctly hide labels
• VQ-03: Element Visibility (6/8) - Rectangles are well-sized, but some small nodes (Config, Scripts, Notes) are unlabeled
• VQ-04: Color Accessibility (4/5) - Blue-yellow scheme is colorblind-friendly, but levels 2 and 3 yellows are very similar
• VQ-05: Layout Balance (4/5) - Good canvas utilization, slight empty space at bottom-right where hierarchy is shallower
• VQ-06: Axis Labels (0/2) - N/A for icicle charts (no axes), but no value annotations shown
• VQ-07: Grid & Legend (2/2) - Legend is well-placed and clear

Spec Compliance (23/25 pts)

• SC-01: Plot Type (8/8) - Correct icicle chart with horizontal layered rectangles
• SC-02: Data Mapping (5/5) - Parent-child relationships correctly mapped spatially
• SC-03: Required Features (4/5) - Shows hierarchy and proportional sizes; missing value labels on rectangles
• SC-04: Data Range (3/3) - All data visible within the chart bounds
• SC-05: Legend Accuracy (2/2) - Legend correctly maps hierarchy levels to colors
• SC-06: Title Format (2/2) - Correct format: "icicle-basic · plotnine · pyplots.ai"

Data Quality (17/20 pts)

• DQ-01: Feature Coverage (6/8) - Shows multiple hierarchy levels (4 deep), varying branch widths; missing some leaf nodes visible
• DQ-02: Realistic Context (7/7) - File system hierarchy is a perfect real-world use case from the spec
• DQ-03: Appropriate Scale (4/5) - File sizes in MB range are realistic, though exact units not shown

Code Quality (7/10 pts)

• CQ-01: KISS Structure (0/3) - Uses functions (calculate_values, compute_icicle_layout) which violates KISS principle
• CQ-02: Reproducibility (3/3) - Deterministic data, no random elements
• CQ-03: Clean Imports (2/2) - All imports are used
• CQ-04: No Deprecated API (1/1) - Uses current plotnine API
• CQ-05: Output Correct (1/1) - Saves as plot.png

Library Features (3/5 pts)

• LF-01: Uses distinctive library features (3/5) - Uses ggplot grammar with geom_rect and geom_text, theme_void, scale_fill_manual; but icicle charts are not native to plotnine

Strengths

• Excellent visual hierarchy with clear parent-child relationships through spatial adjacency
• Smart label hiding for small rectangles prevents text overlap
• Realistic file system example matches spec applications perfectly
• Clean color progression by hierarchy level using Python-inspired blue/yellow palette
• Proper use of plotnine grammar of graphics (geom_rect, geom_text, theme_void)

Weaknesses

• Code uses helper functions (calculate_values, compute_icicle_layout) instead of inline KISS structure
• Levels 2 and 3 yellow colors (#FFD43B and #FFE873) are too similar to distinguish easily
• Missing value/size annotations on rectangles would help users understand proportional sizing
• Some leaf nodes (Config, Scripts, Notes) are invisible due to narrow width threshold

Verdict: REJECTED

[github-actions]

🔧 Repair Attempt 1/3

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

The plot displays a hierarchical icicle chart representing a file system structure. The root node (4590 MB) spans the full width at the top in dark Python blue (#306998). Below it, three main directories (Projects 2140 MB, Photos 1540 MB, Documents 910 MB) are shown in lighter blue (#4B8BBE), sized proportionally to their values. The third level contains subcategories in yellow (#FFD43B): WebApp, DataSci, Mobile under Projects; Vacation, Family, Events under Photos; Reports, Invoices, Notes under Documents. The fourth level shows leaf nodes in brown (#8B4513): Backend, Frontend, Config under WebApp; Models, Scripts under DataSci. White borders separate rectangles. Labels show names and sizes (MB) where space permits. A "Hierarchy Level" legend appears on the right. Title follows the correct format.

Quality Score: 88/100

Criteria Checklist

Visual Quality (35/40 pts)

• VQ-01: Text Legibility (8/10) - Most text readable, but some labels like "Invoices", "Notes", "Events" are truncated or missing size values due to narrow rectangles
• VQ-02: No Overlap (8/8) - No overlapping text; labels are appropriately hidden for narrow rectangles
• VQ-03: Element Visibility (7/8) - Rectangles well-sized and visible; proportions clear. Minor: some narrow rectangles at level 2 (Events, Invoices, Notes) are quite thin
• VQ-04: Color Accessibility (5/5) - Blue/yellow/brown palette is colorblind-safe with good contrast
• VQ-05: Layout Balance (4/5) - Good use of canvas, but some whitespace on the right side due to legend placement
• VQ-06: Axis Labels (2/2) - N/A for icicle charts; labels within rectangles serve this purpose well
• VQ-07: Grid & Legend (1/2) - Legend present and clear, but shows only levels 0-3 while level 4 exists in data

Spec Compliance (23/25 pts)

• SC-01: Plot Type (8/8) - Correct icicle chart with horizontal orientation (top-to-bottom)
• SC-02: Data Mapping (5/5) - Width correctly represents value, depth shows hierarchy
• SC-03: Required Features (4/5) - Shows hierarchy and proportional values; coloring by level is good. Minor: labels hidden for small nodes as spec suggests
• SC-04: Data Range (3/3) - All data visible and proportional
• SC-05: Legend Accuracy (1/2) - Legend shows levels 0-3 but data has level 4 nodes (the brown rectangles)
• SC-06: Title Format (2/2) - Correct format: "icicle-basic · plotnine · pyplots.ai"

Data Quality (18/20 pts)

• DQ-01: Feature Coverage (7/8) - Shows 4-level hierarchy with varying sizes; demonstrates both branches with children and leaf nodes. Could show more varied node sizes at leaf level
• DQ-02: Realistic Context (7/7) - File system with folders and sizes in MB is realistic and neutral
• DQ-03: Appropriate Scale (4/5) - MB values are realistic for file sizes; total ~4.6 GB is plausible

Code Quality (9/10 pts)

• CQ-01: KISS Structure (2/3) - Uses iterative approach for tree building which adds complexity, but necessary for hierarchical data processing
• CQ-02: Reproducibility (3/3) - Deterministic data, no random seed needed
• CQ-03: Clean Imports (2/2) - All imports used
• CQ-04: No Deprecated API (1/1) - Current plotnine API
• CQ-05: Output Correct (1/1) - Saves as plot.png

Library Features (3/5 pts)

• LF-01: Uses distinctive library features (3/5) - Uses ggplot grammar (geom_rect, geom_text, scale_fill_manual, theme_void), but icicle charts require manual rectangle computation rather than leveraging native plotnine geoms

Strengths

• Excellent hierarchical structure with clear parent-child relationships through spatial adjacency
• Smart text coloring (white on dark backgrounds, black on light) improves readability
• Appropriate use of plotnine's grammar of graphics with geom_rect and geom_text
• Clean color palette with Python-branded blues and distinct hierarchy levels
• Good adaptive labeling that shows name+value for wide rectangles and hides labels for narrow ones

Weaknesses

• Legend shows only levels 0-3 but the chart includes level 4 nodes (brown rectangles like Backend, Frontend, etc.)
• Some leaf-level labels are truncated (Frontend, Config show only names, no MB values) while similar-width rectangles elsewhere show both

Verdict: REJECTED

The implementation is very close to approval quality at 88/100. The main issue is the legend inconsistency - it doesn't reflect all hierarchy levels present in the visualization. Fix the legend to include level 4, and this should pass.

[github-actions]

🔧 Repair Attempt 2/3

Applied fixes based on AI review feedback.

Status: Repair completed, re-triggering review...

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🤖 impl-repair

[claude]

AI Review - Attempt 3/3

Image Description

The plot displays a horizontal icicle chart visualizing a file system hierarchy. The root node (dark blue, 4590 MB) spans the full width at the top. Below it, three level-1 children (lighter blue) show Projects (2140 MB), Photos (1540 MB), and Documents (910 MB) proportionally sized. Level 2 (yellow) contains items like WebApp, DataSci, Mobile, Vacation, Family, Events, Reports, Invoices, and Notes. Level 3 (brown) shows leaf nodes: Backend, Frontend, Config, Models, and Scripts under the Projects branch. White borders separate rectangles. A legend on the right shows "Hierarchy Level" with levels 0-3. The title "icicle-basic · plotnine · pyplots.ai" appears at the top center in bold.

Quality Score: 91/100

Criteria Checklist

Visual Quality (36/40 pts)

• VQ-01: Text Legibility (9/10) - Most text clearly readable; some narrow rectangles (Events, Invoices, Notes) show name-only labels which is appropriate
• VQ-02: No Overlap (8/8) - No overlapping text; labels adapt well to rectangle width
• VQ-03: Element Visibility (8/8) - All rectangles clearly visible with good proportional sizing
• VQ-04: Color Accessibility (4/5) - Good contrast between levels; blue/yellow/brown scheme is colorblind-friendly, though level 2 yellow and level 4 light blue in legend could be more distinct
• VQ-05: Layout Balance (5/5) - Excellent canvas utilization, plot fills most of the space with balanced margins
• VQ-06: Axis Labels (0/2) - N/A for icicle chart (uses theme_void), but hierarchy is clear from layout
• VQ-07: Grid & Legend (2/2) - Legend well-positioned on right, clean theme_void appropriate for this chart type

Spec Compliance (25/25 pts)

• SC-01: Plot Type (8/8) - Correct icicle chart with horizontal orientation (top-to-bottom hierarchy)
• SC-02: Data Mapping (5/5) - Hierarchy correctly mapped with proportional widths based on values
• SC-03: Required Features (5/5) - All spec features present: hierarchical rectangles, size-based widths, level coloring, labels with values
• SC-04: Data Range (3/3) - All data visible, proper aggregation from leaves to root
• SC-05: Legend Accuracy (2/2) - Legend correctly shows hierarchy levels 0-3
• SC-06: Title Format (2/2) - Correct format: "icicle-basic · plotnine · pyplots.ai"

Data Quality (18/20 pts)

• DQ-01: Feature Coverage (7/8) - Shows multiple hierarchy depths (4 levels), varying branch sizes, leaf and non-leaf nodes; could have one more level for fuller demonstration
• DQ-02: Realistic Context (7/7) - File system with folders and sizes is an excellent, relatable example
• DQ-03: Appropriate Scale (4/5) - Values in MB are realistic for file system; some values could show more variation

Code Quality (9/10 pts)

• CQ-01: KISS Structure (2/3) - Mostly linear structure but has some complexity with BFS algorithms; acceptable for this chart type
• CQ-02: Reproducibility (3/3) - Deterministic data, no random seed needed
• CQ-03: Clean Imports (2/2) - All imports are used
• CQ-04: No Deprecated API (1/1) - Current plotnine API
• CQ-05: Output Correct (1/1) - Saves as plot.png

Library Features (3/5 pts)

• LF-01: Uses distinctive library features (3/5) - Uses ggplot grammar with geom_rect, geom_text, scale_fill_manual, theme_void; good use of plotnine but icicle charts are not a native strength of plotnine

Strengths

• Excellent hierarchical visualization with clear parent-child relationships visible through spatial adjacency
• Smart label handling: shows name+value for wide rectangles, name-only for medium, hidden for narrow
• Good color contrast between hierarchy levels with appropriate text colors (white on dark, black on light)
• Proper bottom-up value aggregation for non-leaf nodes
• Clean theme_void usage appropriate for this chart type
• Well-implemented BFS algorithm for layout calculation

Weaknesses

• Legend shows "Hierarchy Level" with just numbers 0-3 instead of the more descriptive labels defined in the code (Level 0 (Root), Level 1, etc.)
• Some narrow rectangles at level 2 (Events, Invoices, Notes) only show names without values, though this is by design for readability

Verdict: APPROVED