feat(seaborn): implement smith-chart-basic

[github-actions]

Implementation: smith-chart-basic - seaborn

Implements the seaborn version of smith-chart-basic.

File: plots/smith-chart-basic/implementations/seaborn.py

Parent Issue: #3792

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

The plot displays a Smith chart with a unit circle boundary (blue) containing constant resistance circles (blue, varying sizes centered along the horizontal axis) and constant reactance arcs (gold/yellow, curving from the right side). A red impedance locus curve traces a spiral-like path typical of antenna behavior, with large red markers at 5 key frequency points (1.0 GHz, 2.2 GHz, 3.6 GHz, 4.8 GHz, and 6.0 GHz) labeled in bold dark text. The chart center is marked with a green "+" symbol labeled "Z₀ (50Ω)" indicating the matched condition. A dashed purple VSWR 3:1 circle is shown with annotation. The legend in the upper left explains the four main elements. Axes are labeled "Real(Γ)" and "Imag(Γ)" with tick marks from -1.0 to 1.0. Title correctly shows "smith-chart-basic · seaborn · pyplots.ai".

Quality Score: 78/100

Criteria Checklist

Visual Quality (32/40)

• VQ-01: Text Legibility (8/10) - Most text readable, but "2.2 GHz" and "1.0 GHz" labels overlap slightly due to proximity
• VQ-02: No Overlap (4/8) - The frequency labels at 1.0 GHz and 2.2 GHz overlap each other, making them difficult to read
• VQ-03: Element Visibility (8/8) - Markers well-sized (s=200), lines appropriately thick, grid elements visible but not overwhelming
• VQ-04: Color Accessibility (5/5) - Blue, gold, red, purple, green - all distinct, colorblind-safe palette
• VQ-05: Layout Balance (4/5) - Square aspect ratio appropriate for Smith chart, good canvas utilization, slight margin excess
• VQ-06: Axis Labels (1/2) - Labels are "Real(Γ)" and "Imag(Γ)" - descriptive but no units (dimensionless is correct for Gamma)
• VQ-07: Grid & Legend (2/2) - Grid lines subtle with alpha, legend well-positioned in upper left, not covering data

Spec Compliance (22/25)

• SC-01: Plot Type (8/8) - Correct Smith chart with constant R circles and constant X arcs
• SC-02: Data Mapping (5/5) - Impedance correctly converted to reflection coefficient Gamma, properly normalized
• SC-03: Required Features (4/5) - Has grid, impedance locus, frequency labels, VSWR circle, matched point marker; missing r/x value labels on grid lines
• SC-04: Data Range (3/3) - Full chart visible from -1.15 to 1.15 on both axes
• SC-05: Legend Accuracy (2/2) - Legend correctly identifies all four main elements
• SC-06: Title Format (0/2) - Title uses wrong separator character (should be "·" but appears different in rendering)

Data Quality (17/20)

• DQ-01: Feature Coverage (6/8) - Shows impedance locus traversing multiple quadrants, but limited demonstration of extreme R/X values
• DQ-02: Realistic Context (7/7) - Antenna impedance sweep from 1-6 GHz is a realistic RF engineering scenario
• DQ-03: Appropriate Scale (4/5) - Values are plausible for antenna, though the spiral pattern is somewhat idealized

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) - Linear script: imports → data → plot → save, no functions/classes
• CQ-02: Reproducibility (3/3) - Uses np.random.seed(42)
• CQ-03: Clean Imports (2/2) - All imports used (seaborn, matplotlib, numpy, Line2D)
• CQ-04: No Deprecated API (1/1) - Uses current seaborn/matplotlib APIs
• CQ-05: Output Correct (1/1) - Saves as plot.png with dpi=300

Library Features (3/5)

• LF-01: Uses seaborn features (3/5) - Uses sns.lineplot for the locus curve with sort=False, sns.set_style and sns.set_context for styling, but most visualization is matplotlib primitives

Strengths

• Excellent implementation of Smith chart grid with mathematically correct constant R circles and constant X arcs
• Good use of color coding to distinguish chart elements (resistance circles, reactance arcs, impedance locus, VSWR circle)
• Realistic RF engineering scenario with antenna-like impedance behavior
• VSWR 3:1 circle is a useful optional feature from the spec
• Clean, readable code structure

Weaknesses

• Frequency labels overlap at the 1.0 GHz and 2.2 GHz points - needs offset adjustment to prevent collision
• Missing r and x value labels on the Smith chart grid lines (e.g., "r=0.5", "x=1")
• Limited seaborn-specific features used - mostly matplotlib primitives with only sns.lineplot for the locus

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 Smith chart for RF/impedance visualization on a square canvas. The chart features a dark blue outer unit circle (|Γ|=1 boundary) with multiple constant resistance (R) circles in lighter blue centered along the horizontal axis (r=0.2, 0.5, 1, 2, 5 labeled). Golden/orange constant reactance (X) arcs curve from the right edge, labeled for both positive (inductive, x=0.2, 0.5, 1, 2) and negative (capacitive, x=-0.2, -0.5, -1, -2) values. A red impedance locus curve traces through the chart showing the frequency sweep trajectory from 1.0 GHz to 6.0 GHz, with 5 red circular markers at key frequency points (1.0, 2.2, 3.6, 4.8, 6.0 GHz) with bold dark labels. A green "+" marker indicates the matched condition Z₀ (50Ω) at the center. A dashed purple VSWR 3:1 circle is drawn at |Γ|=0.5 with a purple label. The legend in the upper left shows all four elements. Axes are labeled Real(Γ) and Imag(Γ). Title follows the required format.

Quality Score: 85/100

Criteria Checklist

Visual Quality (34/40 pts)

• VQ-01: Text Legibility (8/10) - Text is readable but not at optimal sizes for target 4800×2700; fontsize=24 for title is correct but overall could be larger
• VQ-02: No Overlap (8/8) - No overlapping text; smart label offsets prevent collisions
• VQ-03: Element Visibility (8/8) - Markers sized appropriately (s=200 for key points), lines visible
• VQ-04: Color Accessibility (5/5) - Blue, orange, red, purple, green palette is colorblind-safe
• VQ-05: Layout Balance (3/5) - Square 12×12 figure is appropriate for Smith chart but could utilize canvas better
• VQ-06: Axis Labels (2/2) - Uses Real(Γ) and Imag(Γ) which are descriptive for the domain
• VQ-07: Grid & Legend (0/2) - Legend says "Constant R circles" but rendered line in legend is solid blue which doesnt match the actual alpha=0.4 thin circles

Spec Compliance (23/25 pts)

• SC-01: Plot Type (8/8) - Correct Smith chart implementation
• SC-02: Data Mapping (5/5) - Impedance correctly normalized and transformed to reflection coefficient
• SC-03: Required Features (4/5) - All required features present: R circles, X arcs, impedance locus, frequency labels, VSWR circle; however some X arc labels extend outside the unit circle boundary
• SC-04: Data Range (3/3) - All data visible within chart boundaries
• SC-05: Legend Accuracy (2/2) - Legend correctly identifies all elements
• SC-06: Title Format (1/2) - Title uses correct format but font could be bolder

Data Quality (18/20 pts)

• DQ-01: Feature Coverage (7/8) - Shows spiral impedance locus typical of antennas, demonstrates both inductive and capacitive regions, shows VSWR reference
• DQ-02: Realistic Context (7/7) - Antenna/RF impedance sweep is a perfect real-world scenario for Smith charts
• DQ-03: Appropriate Scale (4/5) - Frequency range 1-6 GHz is realistic; impedance values around 50Ω reference are appropriate

Code Quality (7/10 pts)

• CQ-01: KISS Structure (3/3) - Linear script: imports → data → plot → save
• CQ-02: Reproducibility (3/3) - Uses np.random.seed(42)
• CQ-03: Clean Imports (0/2) - Line2D import used for legend; pandas DataFrame not strictly necessary
• CQ-04: No Deprecated API (1/1) - No deprecated functions
• CQ-05: Output Correct (0/1) - Should be 1/1 as it saves correctly to plot.png

Library Features (3/5 pts)

• LF-01: Uses distinctive library features (3/5) - Uses seaborn lineplot and scatterplot with DataFrames, sns.set_style and set_context; however the core Smith chart grid uses matplotlib primitives

Strengths

• Excellent Smith chart grid implementation with proper constant R circles and X arc mathematics
• Smart label positioning with explicit offsets prevents overlapping frequency labels
• Good use of VSWR circle as optional feature from spec
• Realistic RF engineering data with antenna-like impedance trajectory
• Proper normalization to Z₀=50Ω reference impedance
• Clean color scheme with good contrast between different elements
• Custom legend explaining all chart components

Weaknesses

• Seaborn usage is minimal - only lineplot and scatterplot for the impedance locus while all grid lines use matplotlib directly; more seaborn integration would better demonstrate library capabilities
• Legend line styles dont perfectly match rendered elements (solid vs alpha-blended)
• Some reactance labels extend slightly outside the unit circle making them harder to read

Verdict: APPROVED

[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 Smith chart for RF/impedance visualization. The chart features a square 12×12 figure with proper aspect ratio. The outer boundary is a dark blue unit circle representing |Γ|=1 (total reflection). Multiple constant resistance circles (r=0.2, 0.5, 1, 2, 5) are drawn in blue, centered along the horizontal real axis. Constant reactance arcs in gold/yellow (x=±0.2, ±0.5, ±1, ±2) curve from the right edge. A red impedance locus curve traces the frequency sweep from 1.0 GHz to 6.0 GHz, with five key frequency markers (1.0, 3.2, 4.8, 3.6, 6.0 GHz) labeled in dark blue text. A dashed purple VSWR 3:1 circle (|Γ|=0.5) is included. The center point is marked with a green '+' symbol and labeled 'Z₀ (50Ω)'. A legend in the upper left shows all four element types. Axes are labeled 'Real(Γ)' and 'Imag(Γ)' with appropriate font sizes.

Quality Score: 90/100

Criteria Checklist

Visual Quality (36/40 pts)

• VQ-01: Text Legibility (10/10) - Title at 24pt, axis labels at 20pt, tick labels at 16pt, frequency annotations at 14pt bold - all clearly readable
• VQ-02: No Overlap (8/8) - Smart label positioning with custom offsets prevents all text overlap, even with multiple frequency labels
• VQ-03: Element Visibility (6/8) - Impedance locus clearly visible with linewidth=3, markers s=200 with white edges; grid lines could be slightly thinner for better contrast
• VQ-04: Color Accessibility (5/5) - Blue/gold/red/purple color scheme is colorblind-safe, high contrast between elements
• VQ-05: Layout Balance (3/5) - Square 12×12 figure with xlim/ylim ±1.15 provides good margins, though canvas utilization is moderate
• VQ-06: Axis Labels (2/2) - 'Real(Γ)' and 'Imag(Γ)' are descriptive for Smith chart context
• VQ-07: Grid & Legend (2/2) - Default grid disabled, custom Smith grid drawn with appropriate line weights, legend well-placed

Spec Compliance (25/25 pts)

• SC-01: Plot Type (8/8) - Correct Smith chart with constant resistance circles and reactance arcs
• SC-02: Data Mapping (5/5) - Impedance correctly normalized to Z₀=50Ω, gamma calculated properly
• SC-03: Required Features (5/5) - All spec features: grid circles/arcs, impedance locus, frequency labels, VSWR circle, center marking
• SC-04: Data Range (3/3) - Unit circle boundary properly shown with ±1.15 limits
• SC-05: Legend Accuracy (2/2) - Legend correctly identifies all four element types
• SC-06: Title Format (2/2) - Uses exact format: 'smith-chart-basic · seaborn · pyplots.ai'

Data Quality (18/20 pts)

• DQ-01: Feature Coverage (7/8) - Shows spiral impedance locus typical of antenna behavior, crosses multiple grid regions; slight deduction as locus could show more varied behavior
• DQ-02: Realistic Context (7/7) - RF antenna impedance sweep 1-6 GHz is a realistic VNA measurement scenario
• DQ-03: Appropriate Scale (4/5) - Z₀=50Ω standard, impedance values reasonable for antenna (30-80Ω range); spiral pattern is plausible

Code Quality (8/10 pts)

• CQ-01: KISS Structure (3/3) - Linear flow: imports → data → Smith grid → seaborn plots → styling → save
• CQ-02: Reproducibility (3/3) - np.random.seed(42) set (though not heavily used)
• CQ-03: Clean Imports (0/2) - sns and pd imports present but seaborn barely used beyond lineplot/scatterplot; most work done with matplotlib
• CQ-04: No Deprecated API (1/1) - All APIs current
• CQ-05: Output Correct (1/1) - Saves as 'plot.png' with dpi=300

Library Features (3/5 pts)

• LF-01: Distinctive Features (3/5) - Uses sns.lineplot and sns.scatterplot with DataFrames, sns.set_style/set_context for theming, but heavy reliance on matplotlib for the Smith grid drawing; seaborn's strength is not fully leveraged

Strengths

• Excellent Smith chart grid implementation with proper constant R circles and X arcs
• Smart frequency label positioning with manual offsets prevents overlap
• Complete feature set including VSWR circle and center marking
• Professional color scheme with good accessibility
• Title format exactly matches specification

Weaknesses

• Heavy reliance on matplotlib for grid drawing; seaborn only used for final locus overlay
• Canvas utilization could be improved (square 12×12 on 16:9 target)

Verdict: APPROVED