feat(altair): implement psychrometric-basic

[github-actions]

Implementation: psychrometric-basic - altair

Implements the altair version of psychrometric-basic.

File: plots/psychrometric-basic/implementations/altair.py

Parent Issue: #4583

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

The plot displays a psychrometric chart with dry-bulb temperature (°C) on the x-axis ranging from -10 to 50, and humidity ratio (g/kg) on the y-axis from 0 to 30. The saturation curve (100% RH) is drawn as a prominent dark blue line forming the upper boundary of the chart. Other relative humidity curves (10%–90%) appear as lighter blue lines with percentage labels positioned along the right side. Wet-bulb temperature lines are shown as red dashed diagonal lines labeled 0°C through 30°C near the saturation curve. Green dashed diagonal enthalpy lines are labeled with values (70–110 kJ/kg) along the upper-left edge. Purple dotted near-vertical specific volume lines are visible. A translucent green shaded rectangle marks the comfort zone (~20–26°C). A red HVAC process path with two labeled endpoints connects "Outdoor Air (35°C, 50% RH)" to "Supply Air (13°C, 100% RH)". Title reads "psychrometric-basic · altair · pyplots.ai" with subtitle "Standard Atmosphere (101.325 kPa) · HVAC Air Properties".

Score: 82/100

Category	Score	Max
Visual Quality	24	30
Design Excellence	13	20
Spec Compliance	15	15
Data Quality	15	15
Code Quality	9	10
Library Mastery	6	10
Total	82	100

Visual Quality (24/30)

• VQ-01: Text Legibility (7/8) — Font sizes explicitly set (title 28pt, axes 22pt, ticks 18pt). Some annotation labels at 11pt are slightly small but still readable.
• VQ-02: No Overlap (4/6) — Enthalpy labels along the upper-left edge crowd together; some RH percentage labels near the top-right overlap with curve lines; "Supply Air" label slightly overlaps nearby curves.
• VQ-03: Element Visibility (5/6) — Lines are visible with good stroke widths and varying dash patterns. Specific volume lines are quite faint (opacity 0.4) and could be slightly more prominent.
• VQ-04: Color Accessibility (2/4) — Red (wet-bulb/process) and green (enthalpy/comfort zone) as primary distinguishing colors is problematic for red-green colorblind users (~8% of males).
• VQ-05: Layout & Canvas (4/4) — Good canvas utilization, chart fills the space well with balanced margins.
• VQ-06: Axis Labels & Title (2/2) — "Dry-Bulb Temperature (°C)" and "Humidity Ratio (g/kg)" — descriptive with proper units.

Design Excellence (13/20)

• DE-01: Aesthetic Sophistication (5/8) — Thoughtful color scheme differentiating property types (blue RH, red wet-bulb, green enthalpy, purple volume). Line styles (solid, dashed, dotted) add visual variety. Subtitle adds professionalism. Above defaults but not publication-level polish.
• DE-02: Visual Refinement (4/6) — Grid opacity set to 0.15 (subtle), view stroke removed, good whitespace management. Some refinement evident.
• DE-03: Data Storytelling (4/6) — The HVAC process path from outdoor to supply air tells a clear engineering story. The comfort zone highlight provides context. Visual hierarchy with prominent saturation curve vs. subtle background property lines guides the viewer.

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) — Correct psychrometric chart type with all required overlaid curves.
• SC-02: Required Features (4/4) — All features present: RH curves (10–100%), wet-bulb lines, enthalpy lines, specific volume lines, comfort zone, HVAC process path with labeled endpoints, direct on-chart labels.
• SC-03: Data Mapping (3/3) — X = dry-bulb temperature, Y = humidity ratio, correctly mapped with full data range visible.
• SC-04: Title & Legend (3/3) — Title format "psychrometric-basic · altair · pyplots.ai" correct. Direct labeling used instead of legend, which is appropriate for this chart type.

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6) — Shows all thermodynamic property families: RH, wet-bulb, enthalpy, specific volume, plus comfort zone and process path.
• DQ-02: Realistic Context (5/5) — Real HVAC engineering scenario with physically accurate cooling/dehumidification process path.
• DQ-03: Appropriate Scale (4/4) — Standard atmosphere (101.325 kPa), -10 to 50°C range, ASHRAE formulas — all values physically realistic.

Code Quality (9/10)

• CQ-01: KISS Structure (3/3) — Follows Imports → Data → Plot → Save. No functions or classes.
• CQ-02: Reproducibility (2/2) — Fully deterministic (computed from physical equations, no randomness).
• CQ-03: Clean Imports (2/2) — All imports used (altair, numpy, pandas).
• CQ-04: Code Elegance (1/2) — Significant code duplication: the ASHRAE saturation pressure formula is repeated ~7 times inline rather than being computed once and reused through indexing or a helper approach. Makes the code verbose.
• CQ-05: Output & API (1/1) — Saves as plot.png and plot.html, current API usage.

Library Mastery (6/10)

• LM-01: Idiomatic Usage (4/5) — Good use of Altair's layered composition (alt.layer), encoding channels, mark types, and configure_* methods. Title with subtitle uses alt.Title.
• LM-02: Distinctive Features (2/5) — Uses alt.layer composition and HTML export which are somewhat Altair-distinctive. However, the heavy manual computation doesn't leverage Altair's declarative data transformation strengths. No use of selections, calculated transforms, or other distinctive Altair features.

Score Caps Applied

• None

Strengths

• Complete spec compliance — all required psychrometric property lines, comfort zone, and HVAC process path are present
• Physically accurate calculations using ASHRAE formulas at standard atmospheric pressure
• Good visual hierarchy with prominent saturation curve and process path against subtle background lines
• Clear data storytelling through the cooling/dehumidification process path
• Proper direct labeling on the chart as specified

Weaknesses

• Red-green color combination for wet-bulb and enthalpy lines is not colorblind-safe
• Some label crowding near the upper-left (enthalpy) and upper-right (RH percentages) regions
• ASHRAE saturation pressure formula is duplicated many times, making the code unnecessarily verbose
• Specific volume lines are too faint and could benefit from slightly higher opacity

Issues Found

1. VQ-04 LOW: Red-green color pairing for wet-bulb and enthalpy lines fails colorblind accessibility
   • Fix: Replace green enthalpy lines with a colorblind-safe alternative (e.g., orange, teal, or gold)
2. VQ-02 MODERATE: Label crowding in enthalpy and RH label regions
   • Fix: Reduce number of displayed enthalpy labels or adjust positioning to avoid overlap
3. CQ-04 LOW: ASHRAE formula duplicated ~7 times inline
   • Fix: Compute saturation pressure array once and reuse via indexing, or use a vectorized approach for all needed temperatures
4. LM-02 LOW: Minimal use of Altair-distinctive features
   • Fix: Consider using Altair's transform_calculate or transform_fold for data preparation, or add interactive tooltips

AI Feedback for Next Attempt

Address colorblind accessibility by replacing red-green color pairing (use orange/teal for wet-bulb/enthalpy). Reduce label crowding in the enthalpy and RH label regions. Consider reducing ASHRAE formula duplication for cleaner code. Explore Altair-specific features like interactive tooltips or transform calculations to better showcase library mastery.

Verdict: REJECTED

[github-actions]

🔧 Repair Attempt 1/3

Applied fixes based on AI review feedback.

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

---

🤖 impl-repair

[claude]

AI Review - Attempt 2/3

Image Description

The plot displays a psychrometric chart with "psychrometric-basic · altair · pyplots.ai" as the title and "Standard Atmosphere (101.325 kPa) · HVAC Air Properties" as the subtitle. The x-axis shows "Dry-Bulb Temperature (°C)" from -10 to 50, and the y-axis shows "Humidity Ratio (g/kg)" from 0 to 30. Blue curves represent relative humidity lines from 10% to 100%, with the saturation curve (100% RH) drawn as a thick dark blue line forming the upper boundary. RH percentage labels appear in blue along the right side of curves. Red dashed lines show wet-bulb temperature (0°C to 30°C) running diagonally with red labels at the saturation curve. Green dashed lines represent enthalpy with labels along the left edge. Purple dashed lines show specific volume with labels near the bottom-right. A green shaded rectangle marks the "Comfort Zone" (approximately 20-26°C). A bold red line with red dots connects "Outdoor Air (35°C, 50% RH)" to "Supply Air (13°C, 100% RH)" showing an HVAC cooling/dehumidification process path. The grid is very subtle with 0.15 opacity, and the view border is removed.

Score: 82/100

Category	Score	Max
Visual Quality	25	30
Design Excellence	13	20
Spec Compliance	15	15
Data Quality	15	15
Code Quality	8	10
Library Mastery	6	10
Total	82	100

Visual Quality (25/30)

• VQ-01: Text Legibility (7/8) - Font sizes explicitly set throughout (title 28pt, subtitle 18pt, axis titles 22pt, ticks 18pt, RH labels 13pt, other labels 11-14pt). Annotation labels at 11pt are slightly small but readable.
• VQ-02: No Overlap (4/6) - Some label overlap in the upper-left area where wet-bulb, enthalpy, and RH curve labels converge. The "Supply Air" process label partially overlaps with nearby wet-bulb labels.
• VQ-03: Element Visibility (5/6) - All lines visible with differentiated styles (solid, dashed variants) and distinct colors. Saturation curve is visually prominent at strokeWidth=3.
• VQ-04: Color Accessibility (3/4) - Red (wet-bulb) and green (enthalpy) used as distinguishing colors is problematic for red-green colorblind users. Dash patterns help differentiate but the label colors still rely on red-green distinction.
• VQ-05: Layout & Canvas (4/4) - Good proportions at 1600×900, data fills canvas well, nothing cut off.
• VQ-06: Axis Labels & Title (2/2) - "Dry-Bulb Temperature (°C)" and "Humidity Ratio (g/kg)" include units.

Design Excellence (13/20)

• DE-01: Aesthetic Sophistication (5/8) - Thoughtful color palette with distinct colors per property type. Good use of opacity layering (0.4-0.6 for secondary lines). Custom typography with title/subtitle. Clearly above defaults but not publication-level polish.
• DE-02: Visual Refinement (4/6) - View stroke removed (strokeWidth=0), grid is subtle (gridOpacity=0.15), different line styles (solid, dashed, dotted) differentiate property types effectively.
• DE-03: Data Storytelling (4/6) - HVAC process path creates a clear focal point with bold red line and labeled state points. Comfort zone highlights a meaningful region. Saturation curve is visually prominent. Good visual hierarchy.

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) - Correct psychrometric chart with all required property lines.
• SC-02: Required Features (4/4) - All features present: RH curves (10-100%), wet-bulb lines, enthalpy lines, specific volume lines, comfort zone, HVAC process path as highlighted line segment, direct labeling on chart.
• SC-03: Data Mapping (3/3) - X=dry-bulb temperature, Y=humidity ratio. Full specified range shown (-10 to 50°C).
• SC-04: Title & Legend (3/3) - Title format "psychrometric-basic · altair · pyplots.ai" correct. Direct labeling used throughout instead of legend, which is appropriate for this chart type.

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6) - Shows all psychrometric properties: RH curves, wet-bulb temperature, enthalpy, specific volume, comfort zone, and HVAC process path.
• DQ-02: Realistic Context (5/5) - Uses ASHRAE saturation pressure formulas, standard atmosphere (101.325 kPa), and a realistic HVAC scenario (35°C outdoor → 13°C supply air).
• DQ-03: Appropriate Scale (4/4) - Standard psychrometric chart ranges: -10 to 50°C dry-bulb, 0 to 30 g/kg humidity ratio.

Code Quality (8/10)

• CQ-01: KISS Structure (2/3) - Flat structure (imports → data → plot → save) with no functions/classes, but very long at 341 lines. The ASHRAE saturation pressure formula is repeated ~6 times verbatim.
• CQ-02: Reproducibility (2/2) - Fully deterministic; all data derived from equations.
• CQ-03: Clean Imports (2/2) - All imports (altair, numpy, pandas) are used.
• CQ-04: Code Elegance (1/2) - The repeated saturation pressure calculation (~6 times) is quite verbose. Could be more concise with a helper, but KISS prohibits functions.
• CQ-05: Output & API (1/1) - Saves as plot.png and plot.html, uses current Altair 6.0 API.

Library Mastery (6/10)

• LM-01: Idiomatic Usage (4/5) - Good declarative usage: alt.layer() composition, appropriate mark types (line, text, area), proper encoding with type specifications, alt.Title for title/subtitle, configure_axis/configure_view.
• LM-02: Distinctive Features (2/5) - Uses layer composition and HTML export, but does not leverage Altair's most distinctive features: interactive selections, tooltips, or linked views — the primary reasons to choose Altair over other libraries.

Score Caps Applied

• None

Strengths

• Comprehensive psychrometric data computed from proper ASHRAE formulas at standard atmosphere
• All spec features present: RH curves, wet-bulb, enthalpy, specific volume, comfort zone, HVAC process path
• Excellent visual hierarchy with prominent saturation curve, subtle secondary lines, and bold process path
• Good use of direct labeling throughout the chart instead of a legend
• Effective opacity layering to manage visual complexity

Weaknesses

• Red-green color pairing for wet-bulb and enthalpy lines is not colorblind-safe
• Label overlap in dense areas, particularly where wet-bulb and enthalpy labels converge near the saturation curve
• Does not leverage Altair's interactive capabilities (tooltips, selections) which are its key differentiator
• Repetitive code with the ASHRAE saturation pressure formula duplicated ~6 times

Issues Found

1. VQ-04 LOW: Red-green color pairing for wet-bulb (red) and enthalpy (green) lines
   • Fix: Change enthalpy lines to a colorblind-safe alternative (e.g., orange #e67e22 or teal #17becf)
2. VQ-02 LOW: Label overlap in dense upper-left region where multiple line types converge
   • Fix: Adjust label positions or reduce label density in congested areas
3. LM-02 LOW: Does not use Altair's distinctive interactive features
   • Fix: Add tooltips to process points and RH curves showing property values, or add interactive selection highlighting
4. CQ-04 LOW: ASHRAE saturation pressure formula repeated ~6 times
   • Fix: Accept as necessary given KISS constraint, but consider consolidating label data generation loops

AI Feedback for Next Attempt

Improve colorblind accessibility by replacing the green enthalpy line color with orange or teal. Reduce label overlap near the saturation curve by adjusting label placement. Add Altair tooltips to at least the process path points and RH curves to leverage the library's interactive strengths. Consider consolidating label position computations to reduce code verbosity.

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 psychrometric chart with dry-bulb temperature (°C) on the x-axis ranging from -10 to 50, and humidity ratio (g/kg) on the y-axis from 0 to 30. The saturation curve (100% RH) is drawn as a thick dark blue line forming the upper boundary. Nine additional RH curves (10%–90%) appear as lighter blue lines with percentage labels staggered at various temperatures along the right side. Dashed orange diagonal lines represent constant wet-bulb temperatures (0°C–30°C in 5°C increments), labeled near the saturation curve. Dashed teal/cyan diagonal lines show constant enthalpy values, with labels along the left edge. Dashed purple diagonal lines represent constant specific volume (0.75–0.95 m³/kg), labeled near the bottom-right. A translucent green shaded rectangle marks the comfort zone (~20–26°C, ~6–13 g/kg). A bold red process path with circular markers connects "Outdoor Air (35°C, 50% RH)" to "Supply Air (13°C, 100% RH)", illustrating a cooling and dehumidification process. The title reads "psychrometric-basic · altair · pyplots.ai" with subtitle "Standard Atmosphere (101.325 kPa) · HVAC Air Properties". Background is a light gray (#fafbfc) with very subtle gridlines.

Score: 86/100

Category	Score	Max
Visual Quality	26	30
Design Excellence	14	20
Spec Compliance	15	15
Data Quality	15	15
Code Quality	9	10
Library Mastery	7	10
Total	86	100

Visual Quality (26/30)

• VQ-01: Text Legibility (7/8) — Font sizes explicitly set (title 28pt, axis titles 22pt, ticks 18pt). Annotation labels (11–13pt) are slightly small but readable at full resolution.
• VQ-02: No Overlap (4/6) — Some label convergence near the saturation curve where wet-bulb and enthalpy labels crowd together. Enthalpy labels placed at t_db=-9.5 are very close to the y-axis edge. Staggered RH labels help but don't fully eliminate overlap at high humidity.
• VQ-03: Element Visibility (5/6) — Saturation curve is prominent (3.5px). Enthalpy and volume lines are quite faint (opacity 0.4–0.45), making them harder to trace across the chart.
• VQ-04: Color Accessibility (4/4) — Colorblind-safe palette: blue (RH), orange (wet-bulb), teal (enthalpy), purple (volume), green (comfort), red (process). All distinguishable.
• VQ-05: Layout & Canvas (4/4) — Good canvas utilization at 1600×900, chart fills space well with balanced margins.
• VQ-06: Axis Labels & Title (2/2) — "Dry-Bulb Temperature (°C)" and "Humidity Ratio (g/kg)" — descriptive with units.

Design Excellence (14/20)

• DE-01: Aesthetic Sophistication (6/8) — Custom color palette with intentional hierarchy, professional technical chart aesthetic. Distinct line styles (solid, varied dash patterns) create clear visual separation between property types. Above defaults but not publication-perfect.
• DE-02: Visual Refinement (4/6) — View stroke removed, subtle grid (opacity 0.12), custom background color (#fafbfc), domain color customized. Good refinement beyond defaults.
• DE-03: Data Storytelling (4/6) — HVAC process path in red creates a clear focal point against the blue/teal/purple property lines. Comfort zone provides practical context. Opacity hierarchy (saturation > RH > wet-bulb > enthalpy > volume) guides the viewer through information layers.

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) — Correct psychrometric chart with all required curve types.
• SC-02: Required Features (4/4) — All features present: RH curves (10%–100%), wet-bulb lines, enthalpy lines, specific volume lines, HVAC process path with labeled state points, comfort zone, direct labels on chart.
• SC-03: Data Mapping (3/3) — X = dry-bulb temperature, Y = humidity ratio, correct mapping with appropriate ranges.
• SC-04: Title & Legend (3/3) — Title format "psychrometric-basic · altair · pyplots.ai" correct. No legend needed — property lines labeled directly on chart per spec requirement.

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6) — Shows all thermodynamic property types: RH, wet-bulb, enthalpy, specific volume. Covers full range -10 to 50°C with process path and comfort zone.
• DQ-02: Realistic Context (5/5) — Real HVAC engineering scenario: cooling and dehumidification from outdoor air to supply air conditions. Neutral technical domain.
• DQ-03: Appropriate Scale (4/4) — Values computed from ASHRAE formulas at standard atmosphere (101.325 kPa). Temperature range and humidity ratio limits match industry-standard psychrometric charts.

Code Quality (9/10)

• CQ-01: KISS Structure (3/3) — Linear structure: imports → constants → data generation → plot layers → save.
• CQ-02: Reproducibility (2/2) — Fully deterministic — all data computed from thermodynamic equations with no randomness.
• CQ-03: Clean Imports (2/2) — Only altair, numpy, pandas — all used.
• CQ-04: Code Elegance (1/2) — Lambda with noqa comment on line 40. Label positioning code is somewhat verbose with repeated humidity ratio calculations. Acceptable but not perfectly clean.
• CQ-05: Output & API (1/1) — Saves as plot.png and plot.html, uses current Altair API.

Library Mastery (7/10)

• LM-01: Idiomatic Usage (4/5) — Good declarative API usage with layered composition via alt.layer(), proper encoding channels, scale configuration, and configure_* methods. Could leverage alt.datum or calculated transforms more.
• LM-02: Distinctive Features (3/5) — Uses Altair-specific features: interactive point selection with selection_point, rich tooltips with formatting, HTML export alongside PNG, declarative layered composition. These distinguish it from static library implementations.

Score Caps Applied

• None applied

Strengths

• Comprehensive psychrometric data computed from ASHRAE formulas — scientifically accurate
• Excellent color-coded property line system with distinct hues, dash patterns, and opacity hierarchy
• HVAC process path creates a compelling focal point that demonstrates practical engineering use
• Comfort zone overlay adds real-world context
• Staggered RH label positions reduce overlap intelligently
• Interactive tooltips and selection leverage Altair's web-native strengths

Weaknesses

• Enthalpy and volume lines are too faint (opacity 0.4–0.45), making them difficult to trace
• Some label crowding near the saturation curve where wet-bulb and enthalpy labels converge
• Enthalpy labels placed at x=-9.5 are at the very edge of the chart, potentially hard to read
• Lambda with noqa suppression is a minor code smell

Issues Found

1. VQ-02 MODERATE: Label convergence near saturation curve and left edge
   • Fix: Increase spacing between wet-bulb and enthalpy labels, move enthalpy labels slightly inward
2. VQ-03 MODERATE: Enthalpy and volume lines too faint
   • Fix: Increase opacity to 0.55–0.6 for better traceability
3. CQ-04 MINOR: Lambda with noqa comment
   • Fix: Replace lambda with a regular function or inline the interpolation

AI Feedback for Next Attempt

Overall a strong implementation scoring 86/100 on attempt 3. The psychrometric calculations are accurate, the visual hierarchy is well-constructed, and the HVAC process path creates effective data storytelling. Main improvement areas are label overlap management near the saturation curve and increasing the visibility of enthalpy/volume lines. The code is clean but could benefit from eliminating the noqa suppression.

Verdict: APPROVED

[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 psychrometric chart with dry-bulb temperature (°C) on the x-axis ranging from -10 to 50, and humidity ratio (g/kg) on the y-axis from 0 to ~30. A thick dark blue saturation curve (100% RH) forms the upper boundary. Nine additional RH curves (10%-90%) are drawn as lighter blue lines with percentage labels staggered at various temperatures along the right side of the chart. Dashed orange diagonal lines represent constant wet-bulb temperatures (0°C to 30°C in 5°C increments), labeled in bold orange near the saturation curve with slight offsets. Dashed teal/cyan diagonal lines show constant enthalpy values, with labels along the left edge. Dashed purple diagonal lines represent constant specific volume (0.75-0.95 m³/kg), labeled near the bottom-right. A translucent green shaded area marks the comfort zone (~20-26°C, approximately 6-13 g/kg) with an italic "Comfort Zone" label. A bold red process path with filled circular markers connects "Outdoor Air (35°C, 50% RH)" at the upper-right to "Supply Air (13°C, 100% RH)" at the lower-left, illustrating a cooling and dehumidification process. The title reads "psychrometric-basic · altair · pyplots.ai" with subtitle "Standard Atmosphere (101.325 kPa) · HVAC Air Properties". Background is light gray (#fafbfc) with very subtle gridlines.

Score: 86/100

Category	Score	Max
Visual Quality	26	30
Design Excellence	14	20
Spec Compliance	15	15
Data Quality	15	15
Code Quality	9	10
Library Mastery	7	10
Total	86	100

Visual Quality (26/30)

• VQ-01: Text Legibility (7/8) - Font sizes explicitly set (title 28pt, axis titles 22pt, ticks 18pt). Property line labels at 11-13pt are slightly small but readable with bold weight.
• VQ-02: No Overlap (5/6) - Staggered RH labels reduce overlap effectively. Minor crowding near saturation curve where wet-bulb and enthalpy labels converge, but colors help distinguish them.
• VQ-03: Element Visibility (4/6) - Saturation curve is visually prominent. Enthalpy lines (opacity 0.45) and volume lines (opacity 0.4) remain quite faint and difficult to trace, especially in lighter areas of the chart.
• VQ-04: Color Accessibility (4/4) - Colorblind-safe palette with distinct hues (blue, orange, teal, purple) for each property type. No red-green confusion.
• VQ-05: Layout & Canvas (4/4) - Good canvas utilization at 1600×900. Balanced margins with chart filling majority of space.
• VQ-06: Axis Labels & Title (2/2) - Descriptive labels with units: "Dry-Bulb Temperature (°C)" and "Humidity Ratio (g/kg)".

Design Excellence (14/20)

• DE-01: Aesthetic Sophistication (6/8) - Custom color palette with intentional hierarchy across property types. Professional technical chart aesthetic clearly above library defaults. Not quite publication-ready due to faint secondary lines.
• DE-02: Visual Refinement (4/6) - View stroke removed, subtle grid (0.12 opacity), custom background (#fafbfc), domain color customized. Good refinement visible.
• DE-03: Data Storytelling (4/6) - HVAC process path in bold red creates a clear focal point. Comfort zone provides real-world context. Opacity hierarchy guides viewer from primary (saturation) to supporting information (enthalpy, volume).

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) - Correct psychrometric chart with all required curve types.
• SC-02: Required Features (4/4) - All features present: RH curves (10-100% in 10% increments), wet-bulb lines, enthalpy lines, specific volume lines, HVAC process path with labeled state points, comfort zone, direct on-chart labels.
• SC-03: Data Mapping (3/3) - Correct x/y mapping (dry-bulb temp vs humidity ratio) with appropriate ranges (-10 to 50°C, 0-30 g/kg).
• SC-04: Title & Legend (3/3) - Title format correct "psychrometric-basic · altair · pyplots.ai". Property lines labeled directly on chart per spec requirement.

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6) - Shows all thermodynamic property types with full temperature range coverage. Multiple RH levels, wet-bulb temps, enthalpy values, and volume lines.
• DQ-02: Realistic Context (5/5) - Real HVAC engineering scenario with cooling and dehumidification process computed from ASHRAE formulas at standard atmosphere.
• DQ-03: Appropriate Scale (4/4) - Standard atmosphere (101.325 kPa), industry-standard temperature range, physically correct humidity ratios from thermodynamic equations.

Code Quality (9/10)

• CQ-01: KISS Structure (3/3) - Linear structure: imports → constants → data generation → plot layers → save.
• CQ-02: Reproducibility (2/2) - Fully deterministic — all data computed from thermodynamic equations with no randomness.
• CQ-03: Clean Imports (2/2) - Only altair, numpy, pandas — all used.
• CQ-04: Code Elegance (1/2) - Lambda with noqa suppression is a minor code smell. Label positioning logic has repeated humidity ratio calculations that could be more concise.
• CQ-05: Output & API (1/1) - Saves as plot.png and plot.html, current Altair 6.0 API.

Library Mastery (7/10)

• LM-01: Idiomatic Usage (4/5) - Good declarative API usage with layered composition via alt.layer(), proper encoding channels, configure methods. Could leverage more Altair-specific encoding patterns.
• LM-02: Distinctive Features (3/5) - Interactive selection (selection_point), rich tooltips, HTML export, and declarative layer composition are distinctive Altair features.

Score Caps Applied

• None

Strengths

• Comprehensive psychrometric data computed from ASHRAE formulas with scientific accuracy
• Excellent color-coded property line system with distinct hues, dash patterns, and opacity hierarchy
• HVAC process path creates compelling visual focal point demonstrating practical engineering application
• Comfort zone overlay adds real-world context for HVAC engineers
• Staggered RH label positions reduce overlap intelligently
• Interactive tooltips and point selection leverage Altair's web-native strengths
• Full spec compliance with all required features present

Weaknesses

• Enthalpy and volume lines remain too faint (opacity 0.4-0.45) making them difficult to trace across the chart
• Minor label crowding near the saturation curve where wet-bulb and enthalpy labels converge
• Lambda with noqa suppression is a minor code smell

Issues Found

1. VQ-03 MODERATE: Enthalpy (0.45) and volume (0.4) lines too faint to trace easily
   • Fix: Increase opacity to 0.55-0.65 for better visibility while maintaining hierarchy
2. CQ-04 LOW: Lambda with noqa suppression
   • Fix: Replace lambda with a regular function definition

AI Feedback for Next Attempt

This is a strong implementation of a complex chart type. The main remaining issue is the faint enthalpy and volume lines — increasing their opacity to 0.55-0.65 would improve readability while preserving the visual hierarchy. The code could also benefit from replacing the lambda with a named function.

Verdict: REJECTED