feat(bokeh): implement bode-basic

[github-actions]

Implementation: bode-basic - bokeh

Implements the bokeh version of bode-basic.

File: plots/bode-basic/implementations/bokeh.py

Parent Issue: #4411

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

The plot shows a dual-panel Bode plot. The top panel displays magnitude (dB) vs frequency (Hz) on a logarithmic x-axis, with a blue line (#306998) decreasing from ~45 dB at 0.1 Hz down to about -110 dB at 1000 Hz. A dashed gray 0 dB reference line is present. Red (#E85D3A) dots and a dotted vertical line mark the gain margin (GM = 10.7 dB) at the phase crossover frequency (~20 Hz). A green (#2CA02C) dot marks the gain crossover frequency (~5 Hz) at 0 dB. The bottom panel shows phase (°) vs frequency, with a blue line decreasing from about -90° to about -270°. A dashed gray -180° reference line is present. Green dots with a dotted vertical segment show the phase margin (PM ≈ 22.5°). Red dots mark the phase crossover point at -180°. Title reads "bode-basic · bokeh · pyplots.ai". Background is white with very subtle grid lines. Text is generally readable but annotation labels are somewhat small relative to the canvas. The red-green color pairing for GM vs PM is a significant colorblind accessibility issue.

Score: 78/100

Category	Score	Max
Visual Quality	22	30
Design Excellence	11	20
Spec Compliance	15	15
Data Quality	14	15
Code Quality	10	10
Library Mastery	6	10
Total	78	100

Visual Quality (22/30)

• VQ-01: Text Legibility (7/8) - Font sizes explicitly set (28pt title, 22pt labels, 18pt ticks/annotations). All readable, but annotation labels (GM/PM) appear somewhat small relative to the 4800px-wide canvas.
• VQ-02: No Overlap (5/6) - PM label in the phase plot slightly crowds the green markers. GM label is well-positioned.
• VQ-03: Element Visibility (5/6) - Lines at 3.5 width and markers at size 14 are visible but could be slightly larger for the canvas size. Dotted segments are thin.
• VQ-04: Color Accessibility (1/4) - Uses red (#E85D3A) and green (#2CA02C) as the distinguishing colors for gain margin vs phase margin. This is a classic red-green colorblind problem.
• VQ-05: Layout & Canvas (2/4) - Two panels at 4800×1350 each fill the width well, but there's significant empty space in both panels (magnitude drops to -100 dB but the plot continues; phase drops well below -180° with lots of unused vertical space).
• VQ-06: Axis Labels & Title (2/2) - "Magnitude (dB)", "Phase (°)", "Frequency (Hz)" — descriptive with units.

Design Excellence (11/20)

• DE-01: Aesthetic Sophistication (4/8) - Clean white background, Python Blue main line, tick marks removed, outline removed. Looks like a well-configured Bokeh default rather than a distinctive design.
• DE-02: Visual Refinement (3/6) - Tick lines removed, outline removed, subtle grid (alpha=0.2). Some refinement beyond defaults, but axis lines are still present and there's no typographic refinement.
• DE-03: Data Storytelling (4/6) - The gain margin and phase margin annotations with colored markers and dotted lines guide the viewer to the key engineering insights. Clear focal points on crossover frequencies.

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) - Correct dual-panel Bode plot with magnitude on top and phase on bottom.
• SC-02: Required Features (4/4) - Dual panels, shared log frequency axis, GM/PM annotations, 0 dB and -180° reference lines, grid lines.
• SC-03: Data Mapping (3/3) - Frequency on x-axis (log scale), magnitude in dB on top y-axis, phase in degrees on bottom y-axis.
• SC-04: Title & Legend (3/3) - Title "bode-basic · bokeh · pyplots.ai" correct. No legend needed for single-system plot.

Data Quality (14/15)

• DQ-01: Feature Coverage (5/6) - Shows gain margin, phase margin, gain crossover, phase crossover. Third-order system with integrator shows classic -20 dB/dec initial slope and phase starting at -90°. Could show a resonance peak for fuller coverage.
• DQ-02: Realistic Context (5/5) - Classic control systems transfer function H(s) = K/(s·(s/ω₁+1)·(s/ω₂+1)) — realistic open-loop transfer function for stability analysis.
• DQ-03: Appropriate Scale (4/4) - Frequency range 0.1–1000 Hz, magnitudes ~45 to -110 dB, phases -90° to -270° — all physically realistic for a third-order system.

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) - Clean imports → data → plot → save structure, no functions or classes.
• CQ-02: Reproducibility (2/2) - Fully deterministic (analytical transfer function, no randomness).
• CQ-03: Clean Imports (2/2) - All imports are used: numpy, bokeh.io (export_png, save), layouts (column), models (ColumnDataSource, Label, Span), plotting (figure), resources (CDN).
• CQ-04: Code Elegance (2/2) - Clean, well-structured, appropriate complexity for a dual-panel engineering plot.
• CQ-05: Output & API (1/1) - Saves as plot.png and plot.html with current Bokeh API.

Library Mastery (6/10)

• LM-01: Idiomatic Usage (4/5) - Good use of ColumnDataSource, shared x_range between panels, Span for reference lines, Label for annotations, column layout. Idiomatic Bokeh patterns.
• LM-02: Distinctive Features (2/5) - Uses shared x_range and HTML export with CDN — somewhat Bokeh-specific. Could leverage HoverTool for interactive tooltips on crossover points, or use Band/BoxAnnotation for margin visualization regions.

Score Caps Applied

• None

Strengths

• Perfect spec compliance — all required features present (dual panels, shared log axis, GM/PM annotations, reference lines)
• Excellent data quality with a realistic third-order control system transfer function
• Clean, well-structured code with deterministic data generation
• Good data storytelling through GM/PM annotations that guide the viewer

Weaknesses

• Red-green color pairing (#E85D3A / #2CA02C) for gain margin vs phase margin is a significant colorblind accessibility problem
• Layout has wasted vertical space in both panels — the data doesn't fill the available plot area efficiently
• Annotation text (18pt) could be larger for the 4800px canvas width
• Design is clean but generic — lacks distinctive visual polish to reach publication quality

Issues Found

1. VQ-04 LOW: Red (#E85D3A) and green (#2CA02C) used as the only distinguishing feature between gain margin and phase margin annotations
   • Fix: Use colorblind-safe alternatives like blue (#306998) and orange (#E8710A), or blue and purple
2. VQ-05 LOW: Significant empty space in both panels — phase goes to -270° but could be bounded, magnitude panel has large empty area below the curve
   • Fix: Set explicit y_range limits to better frame the data, or adjust panel heights
3. DE-01 DEFAULT: Clean but generic Bokeh styling — looks like a configured default
   • Fix: Consider a more intentional color palette, refined typography, or distinctive design elements
4. LM-02 LOW: Generic library usage — doesn't showcase Bokeh's distinctive interactive capabilities
   • Fix: Add HoverTool for crossover frequency details, or use Band glyphs for margin visualization

AI Feedback for Next Attempt

Critical fix: Replace red-green color pairing with colorblind-safe alternatives (e.g., blue/orange or blue/purple). Improve layout by setting explicit y_range limits to reduce wasted space. Consider increasing annotation font size to 22pt. For design polish, explore more refined color palette and stronger visual hierarchy. Optionally leverage Bokeh-specific features like HoverTool for interactive crossover details.

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 Bode plot with two vertically stacked panels on a white background. The top panel shows magnitude (dB) vs frequency (Hz) on a logarithmic x-axis from 10⁻¹ to 10³ Hz, with a blue (#306998) line decreasing from ~40 dB to ~-130 dB. A dashed gray reference line at 0 dB is present. An orange dotted vertical segment marks the gain margin (GM = 10.7 dB) between the magnitude at phase crossover and 0 dB, with orange circle markers at both endpoints and an orange label. A green circle marker sits at the gain crossover frequency on the 0 dB line. The bottom panel shows phase (°) vs frequency (Hz) with the same shared log x-axis. The blue line decreases from about -90° to about -270°. A dashed gray reference line at -180° is drawn. Green dotted vertical segment marks the phase margin (PM = 23.5°) between the phase at gain crossover and -180°, with green circle markers and a green label. An orange marker sits at the phase crossover point on -180°. Title reads "bode-basic · bokeh · pyplots.ai" in the top-left. Both annotation labels render with semi-transparent background rectangles that create visual clutter.

Score: 83/100

Category	Score	Max
Visual Quality	24	30
Design Excellence	13	20
Spec Compliance	15	15
Data Quality	14	15
Code Quality	10	10
Library Mastery	7	10
Total	83	100

Visual Quality (24/30)

• VQ-01: Text Legibility (7/8) - Font sizes explicitly set (title 28pt, labels 22pt, ticks 18pt, annotations 18pt). All readable, but annotation labels have background boxes that reduce clarity slightly.
• VQ-02: No Overlap (4/6) - The GM and PM annotation labels render with semi-transparent background rectangles that overlap with nearby markers and create visual clutter around the 5-20 Hz region.
• VQ-03: Element Visibility (5/6) - Lines (width 3.5) and markers (size 14) are clearly visible. Markers could be slightly larger for the 4800px canvas.
• VQ-04: Color Accessibility (3/4) - Blue line is excellent. Orange/green for GM/PM annotations are distinguishable for most viewers but the orange-green pair is not optimal for deuteranopia.
• VQ-05: Layout & Canvas (3/4) - Two panels at 4800×1350 each fill the 4800×2700 canvas well. Minor gap between panels wastes some vertical space.
• VQ-06: Axis Labels & Title (2/2) - "Magnitude (dB)", "Phase (°)", "Frequency (Hz)" — all descriptive with units.

Design Excellence (13/20)

• DE-01: Aesthetic Sophistication (5/8) - Thoughtful color choices (Python Blue line, distinct orange/green for margins), removed tick marks, clean white background. Above default quality but the annotation background boxes detract from polish.
• DE-02: Visual Refinement (4/6) - Tick marks removed, subtle grid (alpha=0.2), outline removed, border fill white. Good refinement but annotation styling needs work.
• DE-03: Data Storytelling (4/6) - Color-coded gain/phase margin annotations create clear focal points. The vertical segments and labels guide the viewer to the key stability metrics. Good visual hierarchy between the main response curve and the margin annotations.

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) - Correct Bode plot with dual panels (magnitude on top, phase on bottom).
• SC-02: Required Features (4/4) - Dual-panel layout ✓, gain margin annotation ✓, phase margin annotation ✓, 0 dB reference line ✓, -180° reference line ✓, logarithmic frequency axis ✓, grid lines ✓.
• SC-03: Data Mapping (3/3) - Frequency on shared log x-axis, magnitude (dB) on top y-axis, phase (°) on bottom y-axis. All data visible.
• SC-04: Title & Legend (3/3) - Title "bode-basic · bokeh · pyplots.ai" correct. No legend needed for single-series with color-coded annotations.

Data Quality (14/15)

• DQ-01: Feature Coverage (5/6) - Third-order open-loop transfer function (integrator + two real poles) shows gain rolloff, phase rolloff, both crossover frequencies, and both stability margins. Could show a resonance peak for fuller demonstration.
• DQ-02: Realistic Context (5/5) - Real control systems engineering scenario with physically meaningful parameters (K=100, poles at 5 Hz and 50 Hz).
• DQ-03: Appropriate Scale (4/4) - Frequency range 0.1-1000 Hz, realistic gain and phase values for this transfer function type.

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) - Linear flow: imports → data/transfer function → crossover calculations → magnitude plot → phase plot → styling → save.
• CQ-02: Reproducibility (2/2) - Fully deterministic (no random data).
• CQ-03: Clean Imports (2/2) - All imports used: numpy, export_png, save, column, ColumnDataSource, Label, Span, figure, CDN.
• CQ-04: Code Elegance (2/2) - Clean, well-organized. Appropriate complexity for a dual-panel Bode plot with annotations.
• CQ-05: Output & API (1/1) - Saves as plot.png via export_png and plot.html via save. Current Bokeh API.

Library Mastery (7/10)

• LM-01: Idiomatic Usage (4/5) - Good use of ColumnDataSource for shared data, Span for reference lines, Label for annotations, column layout, shared x_range between panels. Idiomatic Bokeh patterns.
• LM-02: Distinctive Features (3/5) - Uses Bokeh-specific features (ColumnDataSource, Span, Label, column layout, HTML export). However, doesn't leverage Bokeh's interactive strengths like HoverTool for showing values on mouseover.

Score Caps Applied

• None — no caps triggered.

Strengths

• Perfect spec compliance — all required Bode plot features present (dual panels, margin annotations, reference lines, log scale)
• Excellent data quality with realistic control systems engineering context
• Clean, well-structured code with deterministic data generation
• Good data storytelling through color-coded margin annotations that guide the viewer

Weaknesses

• Annotation labels render with semi-transparent background rectangles that create visual clutter and overlap with markers
• Orange/green color pair for GM/PM annotations is not optimal for colorblind accessibility
• Styling code is duplicated between the two plots (minor)

Issues Found

1. VQ-02 MEDIUM: Annotation Label backgrounds create visual clutter — the default Bokeh Label background rendering produces semi-transparent boxes that overlap with markers near 5-20 Hz
   • Fix: Set background_fill_alpha=0 on Labels, or use border_line_alpha=0 to remove the background boxes entirely
2. VQ-04 LOW: Orange (#E85D3A) and green (#2CA02C) annotation colors are not optimal for deuteranopia
   • Fix: Consider using blue (#306998) and orange (#E85D3A), or blue and a warm red/magenta that are more distinguishable

AI Feedback for Next Attempt

Fix the annotation Label backgrounds by setting background_fill_alpha=0 and border_line_alpha=0 on all Label objects to eliminate the semi-transparent boxes. Consider improving colorblind safety by using a blue/orange pair instead of orange/green for the margin annotations. These changes should bring Visual Quality closer to full marks and push the total score above 90.

Verdict: REJECTED

[github-actions]

🔧 Repair Attempt 2/3

Applied fixes based on AI review feedback.

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

---

🤖 impl-repair

[claude]

AI Review - Attempt 3/3

Image Description

The plot displays a Bode diagram with two vertically stacked panels sharing a logarithmic frequency axis (0.1–1000 Hz). The top panel shows magnitude in dB, with a blue (#306998) curve starting at ~43 dB and rolling off. A dashed gray 0 dB reference line is present. The gain crossover point (~7 Hz) is marked with a blue dot, and the gain margin (GM = 10.7 dB) is annotated in orange with a dotted vertical segment connecting two orange dots at the phase crossover frequency (~20 Hz). The bottom panel shows phase in degrees, with the blue curve declining from ~-90° to ~-270°. A dashed -180° reference line is visible. The phase margin (PM = 22.4°) is annotated in green with a dotted vertical segment and green dots at the gain crossover frequency. Orange dots mark the phase crossover at -180°. Title reads "bode-basic · bokeh · pyplots.ai". White background, subtle grids, clean styling with no outlines or tick marks.

Score: 84/100

Category	Score	Max
Visual Quality	25	30
Design Excellence	13	20
Spec Compliance	15	15
Data Quality	14	15
Code Quality	10	10
Library Mastery	7	10
Total	84	100

Visual Quality (25/30)

• VQ-01: Text Legibility (7/8) — All font sizes explicitly set (title 28pt, labels 22pt, ticks 18pt, annotations 18pt). Readable, though annotation text is slightly small relative to canvas.
• VQ-02: No Overlap (5/6) — PM annotation label sits close to surrounding markers; minor crowding in the phase crossover area.
• VQ-03: Element Visibility (5/6) — Lines (3.5 width) and markers (size 14) are well-sized. Reference lines are very faint (alpha 0.5, 1.5px) — could be more prominent for readability.
• VQ-04: Color Accessibility (3/4) — Blue/orange/green palette is mostly distinguishable for colorblind users, but orange vs. green is not ideal for deuteranopia.
• VQ-05: Layout & Canvas (3/4) — Two-panel layout fills the 4800×2700 canvas well. Some wasted space in the lower-right areas of both panels where the curves have rolled off.
• VQ-06: Axis Labels & Title (2/2) — "Magnitude (dB)", "Phase (°)", "Frequency (Hz)" — all descriptive with units.

Design Excellence (13/20)

• DE-01: Aesthetic Sophistication (5/8) — Clean white background, intentional color scheme for GM/PM annotations, Python Blue primary. Above configured defaults but not publication-quality.
• DE-02: Visual Refinement (4/6) — Outlines removed, tick marks removed, subtle grids (alpha 0.2), clean borders. Good refinement visible.
• DE-03: Data Storytelling (4/6) — Color-coded gain/phase margin annotations with connecting segments guide the viewer to the key stability metrics. Visual hierarchy distinguishes the main curve from the annotation elements.

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) — Correct Bode plot with dual vertically-aligned panels.
• SC-02: Required Features (4/4) — Dual-panel layout, gain margin annotation, phase margin annotation, 0 dB and -180° reference lines, logarithmic frequency axis, grid lines — all present.
• SC-03: Data Mapping (3/3) — X=frequency (log scale), Y=magnitude (dB) top / phase (°) bottom. Correct.
• SC-04: Title & Legend (3/3) — Title format "bode-basic · bokeh · pyplots.ai" correct. No legend needed; annotations serve as labels.

Data Quality (14/15)

• DQ-01: Feature Coverage (5/6) — Shows gain margin, phase margin, both crossover frequencies, typical third-order rolloff behavior. Could show a resonance peak for richer demonstration.
• DQ-02: Realistic Context (5/5) — Third-order open-loop transfer function (K=100, poles at 5 Hz and 50 Hz with integrator) — realistic control systems scenario.
• DQ-03: Appropriate Scale (4/4) — Frequency 0.1–1000 Hz, magnitude ~43 to -110 dB, phase -90° to -270°. All physically realistic.

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) — Linear flow: imports → data generation → magnitude plot → phase plot → styling → save.
• CQ-02: Reproducibility (2/2) — Fully deterministic (transfer function computation, no randomness).
• CQ-03: Clean Imports (2/2) — All imports used: numpy, bokeh.io (export_png, save), layouts (column), models (ColumnDataSource, Label, Span), plotting (figure), resources (CDN).
• CQ-04: Code Elegance (2/2) — Clean, well-organized. Styling repetition for two figures is acceptable.
• CQ-05: Output & API (1/1) — Saves as plot.png via export_png, plus HTML export with CDN resources.

Library Mastery (7/10)

• LM-01: Idiomatic Usage (4/5) — Good use of ColumnDataSource, figure(), Span, Label, column layout. Shared x_range for linked panels is idiomatic Bokeh.
• LM-02: Distinctive Features (3/5) — Uses Bokeh-specific features: linked x_range between figures, column layout for panel stacking, Span for reference lines, dual HTML+PNG export with CDN resources.

Score Caps Applied

• None

Strengths

• Full spec compliance with all required Bode plot features (dual panels, gain/phase margins, reference lines, log axis)
• Clean, professional styling with removed outlines, subtle grids, and intentional color scheme
• Excellent data storytelling through color-coded margin annotations that immediately convey stability information
• Deterministic, well-structured code with idiomatic Bokeh patterns
• Dual output (PNG + HTML) leverages Bokeh's interactive capabilities

Weaknesses

• Reference lines (0 dB, -180°) are too faint to serve as strong visual anchors
• Orange/green color pair not optimal for all colorblind types
• Annotation text (18pt) could be slightly larger for better readability on the large canvas

Issues Found

1. VQ-04 MINOR: Orange (#E85D3A) and green (#2CA02C) margin annotations may be hard to distinguish for deuteranopia
   • Fix: Consider using blue and orange, or add line dash pattern differentiation
2. VQ-03 MINOR: Reference lines at alpha 0.5 are too subtle to serve as the key 0 dB and -180° benchmarks
   • Fix: Increase alpha to 0.7 or use a slightly thicker line

AI Feedback for Next Attempt

Solid implementation at attempt 3. The main areas for improvement are: (1) increase reference line visibility — these are critical visual anchors in a Bode plot, (2) consider a more colorblind-friendly annotation palette, and (3) slightly increase annotation font size. The design and storytelling are strong for a technical/engineering plot.

Verdict: REJECTED

[github-actions]

🔧 Repair Attempt 3/3

Applied fixes based on AI review feedback.

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

---

🤖 impl-repair

[claude]

AI Review - Attempt 3/3

Image Description

The plot displays a Bode plot with two vertically stacked panels on a light gray (#FAFAFA) background. The top panel shows magnitude (dB) vs frequency (Hz) on a logarithmic x-axis, with a blue (#306998) curve starting at ~45 dB at 0.1 Hz and declining steadily. A dashed gray 0 dB reference line is labeled "0 dB" in small italic text. The gain margin is annotated in vermillion (#D55E00) with "GM = 10.7 dB" text, two orange dots, and a dotted vertical segment between the magnitude at phase crossover and 0 dB. A purple (#7570B3) dot marks the gain crossover on the 0 dB line. A subtle light blue shading fills the region above 0 dB. The bottom panel shows phase (°) vs frequency (Hz) with the same shared log x-axis. The blue curve starts near -90° and rolls off past -270°. A dashed gray -180° reference line is labeled "-180°". The phase margin is annotated in purple with "PM = 29.5°" text, two purple dots, and a dotted vertical segment. An orange dot marks the phase crossover at -180°. A subtle light orange shading fills the region below -180°. The title "bode-basic · bokeh · pyplots.ai" appears at the top left. Grid lines are subtle with dashed styling. All axis labels include units.

Score: 90/100

Category	Score	Max
Visual Quality	28	30
Design Excellence	16	20
Spec Compliance	15	15
Data Quality	14	15
Code Quality	9	10
Library Mastery	8	10
Total	90	100

Visual Quality (28/30)

• VQ-01: Text Legibility (7/8) — Font sizes explicitly set (28pt title, 22pt labels, 18pt ticks). Reference labels ("0 dB", "-180°") at 16pt are slightly small for the canvas.
• VQ-02: No Overlap (6/6) — No overlapping text anywhere.
• VQ-03: Element Visibility (5/6) — Lines at line_width=4 are clearly visible. Markers at size=16 are adequate but could be slightly larger for the 4800px canvas.
• VQ-04: Color Accessibility (4/4) — Colorblind-safe Wong palette (blue, vermillion, blue-purple) with good contrast.
• VQ-05: Layout & Canvas (4/4) — Dual-panel layout (4800×2700 total) fills canvas well with balanced margins.
• VQ-06: Axis Labels & Title (2/2) — "Magnitude (dB)", "Phase (°)", "Frequency (Hz)" — all descriptive with units.

Design Excellence (16/20)

• DE-01: Aesthetic Sophistication (6/8) — Custom Wong palette, styled background, stability region shading with BoxAnnotation, removed tick marks — clearly above defaults with professional polish.
• DE-02: Visual Refinement (5/6) — Subtle dashed grid (alpha 0.15–0.25), tick marks removed, outline removed, custom background (#FAFAFA), generous margins (120px left, 80px right), tight panel spacing.
• DE-03: Data Storytelling (5/6) — GM/PM annotations with bold labels create clear focal points. Stability/instability region shading (light blue above 0 dB, light orange below -180°) guides the viewer's interpretation of system stability.

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) — Correct dual-panel Bode plot with magnitude on top, phase on bottom.
• SC-02: Required Features (4/4) — Dual-panel layout ✓, GM/PM annotations ✓, 0 dB and -180° reference lines ✓, log frequency axis ✓, grid lines ✓.
• SC-03: Data Mapping (3/3) — X=frequency (log), Y=magnitude (dB) / phase (°). Correct mapping throughout.
• SC-04: Title & Legend (3/3) — Title "bode-basic · bokeh · pyplots.ai" in correct format. No legend needed for single-series plot.

Data Quality (14/15)

• DQ-01: Feature Coverage (5/6) — Third-order open-loop transfer function (integrator + two real poles) shows characteristic rolloff slopes, gain and phase margins. Could show a resonance peak for fuller coverage.
• DQ-02: Realistic Context (5/5) — Real-world control systems scenario with physically meaningful transfer function (K=100, poles at 5 Hz and 50 Hz).
• DQ-03: Appropriate Scale (4/4) — Frequency range 0.1–1000 Hz, gain ~45 dB at low frequency, phase from -90° to -270° — all physically realistic.

Code Quality (9/10)

• CQ-01: KISS Structure (2/3) — Mostly linear flow but uses a style_plot() helper function, which deviates from the pure KISS pattern. The function is practical for DRY but violates the no-functions guideline.
• CQ-02: Reproducibility (2/2) — Fully deterministic data from transfer function calculation, no randomness.
• CQ-03: Clean Imports (2/2) — All imports are used: BoxAnnotation, ColumnDataSource, HoverTool, Label, Span, column, export_png, save, CDN.
• CQ-04: Code Elegance (2/2) — Clean, well-organized code with clear comments. No fake functionality.
• CQ-05: Output & API (1/1) — Saves as plot.png via export_png() and plot.html via save(). Current Bokeh API.

Library Mastery (8/10)

• LM-01: Idiomatic Usage (4/5) — Uses ColumnDataSource, shared x_range between figures, column layout, Span/Label/BoxAnnotation models, figure with x_axis_type="log". Idiomatic Bokeh patterns throughout.
• LM-02: Distinctive Features (4/5) — HoverTool with vline mode and formatted tooltips is a distinctive Bokeh interactive feature. HTML export via save() with CDN resources provides a genuinely interactive companion output.

Score Caps Applied

• None — no caps triggered.

Strengths

• Excellent spec compliance with all required Bode plot features (dual panel, GM/PM annotations, reference lines, log scale)
• Strong design with stability region shading (BoxAnnotation) adding meaningful visual context
• Colorblind-safe Wong palette with clear visual hierarchy between curve, GM, and PM elements
• Interactive HTML output with HoverTool leverages Bokeh's distinctive strengths
• Deterministic, physically realistic transfer function data

Weaknesses

• Minor: style_plot() helper function could be inlined for stricter KISS compliance
• Reference label font sizes (16pt) are slightly small relative to the 4800px canvas

Issues Found

None significant — implementation meets quality threshold.

AI Feedback for Next Attempt

Implementation meets the 90-point threshold. The Bode plot is well-executed with strong design choices (region shading, Wong palette, GM/PM annotations) and good use of Bokeh's interactive features. Minor improvements possible: inline the style_plot helper and increase reference label font sizes.

Verdict: APPROVED