From c95afdc3afc5db02ad5da4687b11f568afe92e94 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" <github-actions[bot]@users.noreply.github.com>
Date: Wed, 1 Jul 2026 05:59:23 +0000
Subject: [PATCH 1/5] feat(bokeh): implement lollipop-basic
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Regen from quality 85. Addressed:
- Canvas: corrected width/height from 4800×2700 to canonical 3200×1800
- Export: replaced broken export_png with Selenium screenshot + PIL crop
- Font sizes: updated to 50pt/42pt/34pt per bokeh.md (was 28/22/18pt)
- Title: set text_font_style=bold (was normal)
- min_border_*: added canonical reservations for label room
- Data storytelling (DE-03 ❌→✅): added value labels above markers + avg reference line
- Change request: replaced product categories (same as matplotlib sibling) with
  cloud infrastructure spend (Compute→Monitoring, descending $94K–$6K)
- sys.path fix: prevent bokeh.py from shadowing the installed bokeh package
---
 .../implementations/python/bokeh.py           | 149 +++++++++++++-----
 1 file changed, 111 insertions(+), 38 deletions(-)

diff --git a/plots/lollipop-basic/implementations/python/bokeh.py b/plots/lollipop-basic/implementations/python/bokeh.py
index b0da1d8704..f67776b73e 100644
--- a/plots/lollipop-basic/implementations/python/bokeh.py
+++ b/plots/lollipop-basic/implementations/python/bokeh.py
@@ -1,91 +1,164 @@
-""" anyplot.ai
+"""anyplot.ai
 lollipop-basic: Basic Lollipop Chart
 Library: bokeh 3.9.0 | Python 3.14.4
-Quality: 85/100 | Updated: 2026-04-26
 """
 
+import sys
+
+
+# This file is named bokeh.py; without this fix Python would import itself
+# instead of the installed bokeh package when run directly.
+if sys.path and sys.path[0] not in ("", None):
+    sys.path.append(sys.path.pop(0))
+
+import io
 import os
+import time
+from pathlib import Path
 
-from bokeh.io import export_png, output_file, save
-from bokeh.models import ColumnDataSource, NumeralTickFormatter
+from bokeh.io import output_file, save
+from bokeh.models import ColumnDataSource, NumeralTickFormatter, Range1d, Span
 from bokeh.plotting import figure
+from PIL import Image
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
 
 
-# Theme tokens
+# Imprint palette + theme tokens
 THEME = os.getenv("ANYPLOT_THEME", "light")
 PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
-ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420"
 INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
 INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
-BRAND = "#009E73"
+INK_MUTED = "#6B6A63" if THEME == "light" else "#A8A79F"
+BRAND = "#009E73"  # Imprint palette position 1 — always first series
 
-# Data — product sales by category (pre-sorted descending)
+# Data — monthly cloud infrastructure spend by service category (sorted descending)
 categories = [
-    "Electronics",
-    "Clothing",
-    "Home & Garden",
-    "Sports",
-    "Books",
-    "Toys",
-    "Food",
-    "Beauty",
-    "Automotive",
-    "Office",
+    "Compute",
+    "Storage",
+    "Networking",
+    "Database",
+    "Security",
+    "Analytics",
+    "AI / ML",
+    "IoT",
+    "DevOps",
+    "Monitoring",
 ]
-values = [85000, 72000, 61000, 53000, 47000, 39000, 33000, 28000, 22000, 15000]
-
-source = ColumnDataSource(data={"categories": categories, "values": values, "zeros": [0] * len(values)})
+values = [94200, 67500, 48300, 38800, 28400, 22100, 18700, 12900, 9600, 6800]
+avg_spend = sum(values) / len(values)
+
+labels = [f"${v // 1000}K" for v in values]
+
+source = ColumnDataSource(
+    data={
+        "categories": categories,
+        "values": values,
+        "zeros": [0] * len(values),
+        "labels": labels,
+        "label_y": [v + 2800 for v in values],
+    }
+)
 
-# Plot
+# Figure
 p = figure(
-    width=4800,
-    height=2700,
+    width=3200,
+    height=1800,
     x_range=categories,
+    y_range=Range1d(0, 108000),
     title="lollipop-basic · bokeh · anyplot.ai",
-    x_axis_label="Product Category",
-    y_axis_label="Sales (USD)",
+    x_axis_label="Cloud Service",
+    y_axis_label="Monthly Spend (USD)",
     toolbar_location=None,
+    min_border_bottom=160,
+    min_border_left=180,
+    min_border_top=110,
+    min_border_right=80,
 )
 
+# Average reference line
+p.add_layout(Span(location=avg_spend, dimension="width", line_color=INK_MUTED, line_width=3, line_dash="dashed"))
+
+# Stems
 p.segment(x0="categories", y0="zeros", x1="categories", y1="values", source=source, line_width=4, color=BRAND)
 
+# Markers
 p.scatter(x="categories", y="values", source=source, size=42, color=BRAND, line_color=PAGE_BG, line_width=3)
 
-# Style
-p.title.text_font_size = "28pt"
+# Value labels above each marker
+p.text(
+    x="categories",
+    y="label_y",
+    text="labels",
+    source=source,
+    text_font_size="24pt",
+    text_align="center",
+    text_baseline="bottom",
+    text_color=INK_SOFT,
+)
+
+# Title
+p.title.text_font_size = "50pt"
 p.title.text_color = INK
-p.title.text_font_style = "normal"
+p.title.text_font_style = "bold"
 
-p.xaxis.axis_label_text_font_size = "22pt"
-p.yaxis.axis_label_text_font_size = "22pt"
-p.xaxis.major_label_text_font_size = "18pt"
-p.yaxis.major_label_text_font_size = "18pt"
+# Axis label sizes
+p.xaxis.axis_label_text_font_size = "42pt"
+p.yaxis.axis_label_text_font_size = "42pt"
+p.xaxis.major_label_text_font_size = "34pt"
+p.yaxis.major_label_text_font_size = "34pt"
 
+# Axis label colors
 p.xaxis.axis_label_text_color = INK
 p.yaxis.axis_label_text_color = INK
 p.xaxis.major_label_text_color = INK_SOFT
 p.yaxis.major_label_text_color = INK_SOFT
 
+# Axis line and tick colors
 p.xaxis.axis_line_color = INK_SOFT
 p.yaxis.axis_line_color = INK_SOFT
 p.xaxis.major_tick_line_color = INK_SOFT
 p.yaxis.major_tick_line_color = INK_SOFT
 p.xaxis.minor_tick_line_color = None
 p.yaxis.minor_tick_line_color = None
+p.xaxis.major_label_orientation = 0.5
 
-p.xaxis.major_label_orientation = 0.6
-
+# Grid — y-axis only, subtle
 p.xgrid.grid_line_color = None
 p.ygrid.grid_line_color = INK
 p.ygrid.grid_line_alpha = 0.10
 
+# Background and chrome
 p.background_fill_color = PAGE_BG
 p.border_fill_color = PAGE_BG
-p.outline_line_color = None
+p.outline_line_color = INK_SOFT
 
+# Y-axis tick format
 p.yaxis.formatter = NumeralTickFormatter(format="$0,0")
 
-# Save
-export_png(p, filename=f"plot-{THEME}.png")
+# Save HTML (interactive catalog artifact)
 output_file(f"plot-{THEME}.html")
 save(p)
+
+# Screenshot with headless Chrome — Selenium 4 / Selenium Manager resolves the driver.
+# Chrome's headless viewport is ~143px shorter than --window-size due to internal
+# overhead; use an oversized window then crop to the exact canvas target.
+W, H = 3200, 1800
+CHROME_H = H + 200
+opts = Options()
+for arg in (
+    "--headless=new",
+    "--no-sandbox",
+    "--disable-dev-shm-usage",
+    "--disable-gpu",
+    f"--window-size={W},{CHROME_H}",
+    "--hide-scrollbars",
+):
+    opts.add_argument(arg)
+driver = webdriver.Chrome(options=opts)
+driver.set_window_size(W, CHROME_H)
+driver.get(f"file://{Path(f'plot-{THEME}.html').resolve()}")
+time.sleep(3)
+# The bokeh figure starts at (0, 0); crop screenshot to exact canvas dimensions
+Image.open(io.BytesIO(driver.get_screenshot_as_png())).crop((0, 0, W, H)).save(f"plot-{THEME}.png")
+driver.quit()

From 211f32e771f3927ca1ddbfeb7d23933fbc14a787 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" <github-actions[bot]@users.noreply.github.com>
Date: Wed, 1 Jul 2026 05:59:34 +0000
Subject: [PATCH 2/5] chore(bokeh): add metadata for lollipop-basic

---
 .../lollipop-basic/metadata/python/bokeh.yaml | 224 +-----------------
 1 file changed, 11 insertions(+), 213 deletions(-)

diff --git a/plots/lollipop-basic/metadata/python/bokeh.yaml b/plots/lollipop-basic/metadata/python/bokeh.yaml
index addd40cc5a..494f0356e9 100644
--- a/plots/lollipop-basic/metadata/python/bokeh.yaml
+++ b/plots/lollipop-basic/metadata/python/bokeh.yaml
@@ -1,223 +1,21 @@
+# Per-library metadata for bokeh implementation of lollipop-basic
+# Auto-generated by impl-generate.yml
+
 library: bokeh
 language: python
 specification_id: lollipop-basic
 created: '2025-12-23T15:14:01Z'
-updated: '2026-04-26T12:54:40Z'
-generated_by: claude-opus
-workflow_run: 24956899574
+updated: '2026-07-01T05:59:34Z'
+generated_by: claude-sonnet
+workflow_run: 28496532200
 issue: 934
-python_version: 3.14.4
-library_version: 3.9.0
+language_version: 3.13.14
+library_version: 3.9.1
 preview_url_light: https://storage.googleapis.com/anyplot-images/plots/lollipop-basic/python/bokeh/plot-light.png
 preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/lollipop-basic/python/bokeh/plot-dark.png
 preview_html_light: https://storage.googleapis.com/anyplot-images/plots/lollipop-basic/python/bokeh/plot-light.html
 preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/lollipop-basic/python/bokeh/plot-dark.html
-quality_score: 85
+quality_score: null
 review:
-  strengths:
-  - 'Perfect spec compliance: stems + markers + sorted data + correct title format'
-  - 'Excellent theme adaptation: all chrome tokens applied correctly, both renders
-    pass legibility check'
-  - Clean minimal code with proper KISS structure
-  - White-ring detail on markers (PAGE_BG as line_color) adds visual separation
-  - NumeralTickFormatter adds professional dollar formatting
-  weaknesses:
-  - 'No data storytelling: sorted data is good but no emphasis on top performer, no
-    focal points, no value labels, no visual hierarchy to guide the viewer'
-  - 'Title not bold: style guide specifies bold/medium-weight for titles, text_font_style=normal
-    weakens typographic hierarchy'
-  - 'Design sophistication stays at well-configured default level: white ring on markers
-    is the only distinctive aesthetic choice'
-  image_description: |-
-    Light render (plot-light.png):
-      Background: Warm off-white #FAF8F1 — correct, not pure white
-      Chrome: Title "lollipop-basic · bokeh · anyplot.ai" top-left in dark INK color, readable; axis labels "Sales (USD)" and "Product Category" in dark INK, readable; y-axis tick labels in INK_SOFT ($0, $20,000, $40,000, etc.), readable; x-axis category labels rotated and readable
-      Data: 10 lollipops in brand green #009E73 — thin stems (line_width=4) rising from y=0 baseline to large circular markers (size=42) with white PAGE_BG ring; values sorted descending Electronics ($85K) to Office ($15K)
-      Legibility verdict: PASS — all text readable, no light-on-light failures
-
-    Dark render (plot-dark.png):
-      Background: Near-black #1A1A17 — correct, not pure black
-      Chrome: Title in light F0EFE8 text, readable; axis labels in INK color (light), readable; tick labels in INK_SOFT (B8B7B0), readable; no dark-on-dark failures detected
-      Data: Brand green #009E73 lollipops identical to light render — stems, markers, and white ring all unchanged; only background and text colors flip
-      Legibility verdict: PASS — all text readable against dark background, data colors identical to light render
-  criteria_checklist:
-    visual_quality:
-      score: 28
-      max: 30
-      items:
-      - id: VQ-01
-        name: Text Legibility
-        score: 7
-        max: 8
-        passed: true
-        comment: Sizes explicitly set (28pt/22pt/18pt), readable in both themes; title
-          not bold
-      - id: VQ-02
-        name: No Overlap
-        score: 6
-        max: 6
-        passed: true
-        comment: Rotated x-axis labels well-spaced, no collisions
-      - id: VQ-03
-        name: Element Visibility
-        score: 6
-        max: 6
-        passed: true
-        comment: Stems line_width=4 and markers size=42 clearly visible
-      - id: VQ-04
-        name: Color Accessibility
-        score: 2
-        max: 2
-        passed: true
-        comment: Single brand green series, good contrast, CVD-safe
-      - id: VQ-05
-        name: Layout & Canvas
-        score: 3
-        max: 4
-        passed: true
-        comment: Decent canvas utilization, minor empty space in upper plot area
-      - id: VQ-06
-        name: Axis Labels & Title
-        score: 2
-        max: 2
-        passed: true
-        comment: Sales (USD) and Product Category with units
-      - id: VQ-07
-        name: Palette Compliance
-        score: 2
-        max: 2
-        passed: true
-        comment: 'First series #009E73, light #FAF8F1, dark #1A1A17, chrome correct'
-    design_excellence:
-      score: 10
-      max: 20
-      items:
-      - id: DE-01
-        name: Aesthetic Sophistication
-        score: 4
-        max: 8
-        passed: false
-        comment: Well-configured default with white ring on markers; not exceptional
-          design
-      - id: DE-02
-        name: Visual Refinement
-        score: 4
-        max: 6
-        passed: true
-        comment: No x-grid, subtle y-grid, no outline, minor ticks removed, no toolbar
-      - id: DE-03
-        name: Data Storytelling
-        score: 2
-        max: 6
-        passed: false
-        comment: Sorted data but no visual hierarchy, focal points, or emphasis
-    spec_compliance:
-      score: 15
-      max: 15
-      items:
-      - id: SC-01
-        name: Plot Type
-        score: 5
-        max: 5
-        passed: true
-        comment: 'Correct lollipop: segment stems + scatter markers, vertical orientation'
-      - id: SC-02
-        name: Required Features
-        score: 4
-        max: 4
-        passed: true
-        comment: Stems, markers, vertical, 10 categories, sorted descending
-      - id: SC-03
-        name: Data Mapping
-        score: 3
-        max: 3
-        passed: true
-        comment: Categories on x with x_range, values on y, all data visible
-      - id: SC-04
-        name: Title & Legend
-        score: 3
-        max: 3
-        passed: true
-        comment: Title lollipop-basic · bokeh · anyplot.ai correct; no legend for
-          single series
-    data_quality:
-      score: 15
-      max: 15
-      items:
-      - id: DQ-01
-        name: Feature Coverage
-        score: 6
-        max: 6
-        passed: true
-        comment: 'All lollipop aspects shown: varying heights, sorted order, 10 categories'
-      - id: DQ-02
-        name: Realistic Context
-        score: 5
-        max: 5
-        passed: true
-        comment: Product sales by category - natural neutral business scenario
-      - id: DQ-03
-        name: Appropriate Scale
-        score: 4
-        max: 4
-        passed: true
-        comment: $15K-$85K realistic for product category sales, good spread
-    code_quality:
-      score: 10
-      max: 10
-      items:
-      - id: CQ-01
-        name: KISS Structure
-        score: 3
-        max: 3
-        passed: true
-        comment: 'Linear: imports -> tokens -> data -> figure -> styling -> save'
-      - id: CQ-02
-        name: Reproducibility
-        score: 2
-        max: 2
-        passed: true
-        comment: Deterministic hardcoded data
-      - id: CQ-03
-        name: Clean Imports
-        score: 2
-        max: 2
-        passed: true
-        comment: All 4 imports used
-      - id: CQ-04
-        name: Code Elegance
-        score: 2
-        max: 2
-        passed: true
-        comment: Clean Pythonic code, no fake UI
-      - id: CQ-05
-        name: Output & API
-        score: 1
-        max: 1
-        passed: true
-        comment: plot-{THEME}.png and plot-{THEME}.html both generated
-    library_mastery:
-      score: 7
-      max: 10
-      items:
-      - id: LM-01
-        name: Idiomatic Usage
-        score: 4
-        max: 5
-        passed: true
-        comment: ColumnDataSource, x_range for categorical, segment+scatter pattern
-      - id: LM-02
-        name: Distinctive Features
-        score: 3
-        max: 5
-        passed: true
-        comment: NumeralTickFormatter and HTML export via output_file/save
-  verdict: REJECTED
-impl_tags:
-  dependencies: []
-  techniques:
-  - html-export
-  patterns:
-  - columndatasource
-  dataprep: []
-  styling: []
+  strengths: []
+  weaknesses: []

From b7eeb3e82dc504bf21e26a7e457aad859931f283 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" <github-actions[bot]@users.noreply.github.com>
Date: Wed, 1 Jul 2026 06:06:30 +0000
Subject: [PATCH 3/5] chore(bokeh): update quality score 88 and review feedback
 for lollipop-basic

---
 .../implementations/python/bokeh.py           |   5 +-
 .../lollipop-basic/metadata/python/bokeh.yaml | 266 +++++++++++++++++-
 2 files changed, 262 insertions(+), 9 deletions(-)

diff --git a/plots/lollipop-basic/implementations/python/bokeh.py b/plots/lollipop-basic/implementations/python/bokeh.py
index f67776b73e..8a1b9eeaef 100644
--- a/plots/lollipop-basic/implementations/python/bokeh.py
+++ b/plots/lollipop-basic/implementations/python/bokeh.py
@@ -1,6 +1,7 @@
-"""anyplot.ai
+""" anyplot.ai
 lollipop-basic: Basic Lollipop Chart
-Library: bokeh 3.9.0 | Python 3.14.4
+Library: bokeh 3.9.1 | Python 3.13.14
+Quality: 88/100 | Updated: 2026-07-01
 """
 
 import sys
diff --git a/plots/lollipop-basic/metadata/python/bokeh.yaml b/plots/lollipop-basic/metadata/python/bokeh.yaml
index 494f0356e9..9831ca6ed5 100644
--- a/plots/lollipop-basic/metadata/python/bokeh.yaml
+++ b/plots/lollipop-basic/metadata/python/bokeh.yaml
@@ -1,11 +1,8 @@
-# Per-library metadata for bokeh implementation of lollipop-basic
-# Auto-generated by impl-generate.yml
-
 library: bokeh
 language: python
 specification_id: lollipop-basic
 created: '2025-12-23T15:14:01Z'
-updated: '2026-07-01T05:59:34Z'
+updated: '2026-07-01T06:06:30Z'
 generated_by: claude-sonnet
 workflow_run: 28496532200
 issue: 934
@@ -15,7 +12,262 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/lollipop-
 preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/lollipop-basic/python/bokeh/plot-dark.png
 preview_html_light: https://storage.googleapis.com/anyplot-images/plots/lollipop-basic/python/bokeh/plot-light.html
 preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/lollipop-basic/python/bokeh/plot-dark.html
-quality_score: null
+quality_score: 88
 review:
-  strengths: []
-  weaknesses: []
+  strengths:
+  - 'Perfect visual quality: all font sizes explicitly set (50pt title, 42pt axis
+    labels, 34pt tick labels, 24pt value annotations), well-proportioned layout, readable
+    in both themes'
+  - 'Excellent data storytelling: dashed average reference line (Span) provides immediate
+    context for above/below-budget services; data sorted descending creates clear
+    visual ranking'
+  - Value labels above every lollipop head ($94K, $67K, …) eliminate the need to read
+    the y-axis for each bar, reducing cognitive load
+  - 'Idiomatic Bokeh usage: ColumnDataSource with named columns, Range1d for axis
+    bounds, NumeralTickFormatter for dollar ticks, Span for the reference line, proper
+    HTML + Selenium screenshot pipeline'
+  - Realistic, neutral cloud-spend dataset with plausible values ($6K–$94K/month),
+    deterministic data, and clean KISS code structure
+  - 'Correct Imprint palette compliance: brand green #009E73 for single series, #FAF8F1/#1A1A17
+    backgrounds, full theme-adaptive chrome (INK/INK_SOFT tokens on all labels and
+    axes)'
+  weaknesses:
+  - 'SC-04: Title is missing the ''python'' language component. Required format: ''lollipop-basic
+    · python · bokeh · anyplot.ai''. Current title: ''lollipop-basic · bokeh · anyplot.ai''.
+    Fix: add '' · python'' between spec-id and library name in the title string.'
+  - 'DE-02: Full rectangular outline border (outline_line_color=INK_SOFT) creates
+    an all-four-sides box. Style guide prefers L-spine (remove top and right). Fix:
+    set p.outline_line_color=None and rely on p.xaxis.axis_line_color + p.yaxis.axis_line_color
+    for the bottom/left spines only.'
+  - 'DE-01: Design is above the generic default but not at ''strong design'' level
+    — could use one more differentiating touch, e.g. coloring lollipop heads above-average
+    vs below-average (brand green vs muted), or adding a subtle ''Average: $34.7K''
+    text annotation to the reference line.'
+  image_description: |-
+    Light render (plot-light.png):
+      Background: Warm off-white consistent with #FAF8F1 — not pure white, not neutral grey. Correct theme surface.
+      Chrome: Title "lollipop-basic · bokeh · anyplot.ai" in bold dark text, clearly readable. X-axis label "Cloud Service" and Y-axis label "Monthly Spend (USD)" in Bokeh's default italic style, both readable in dark ink. Tick labels on x-axis (10 rotated category names) and y-axis ($0–$100,000 in dollar format) are readable in INK_SOFT. A subtle dashed horizontal reference line sits at approximately $35K (average spend). Rectangular outline border visible around the data area (all four sides in INK_SOFT).
+      Data: Brand green (#009E73) stems (vertical lines) and large filled circular markers for all 10 categories. Value annotations above each lollipop head ($94K, $67K, $48K, $38K, $28K, $22K, $18K, $12K, $9K, $6K) in INK_SOFT at 24pt. Data sorted descending from Compute to Monitoring. Y-axis grid lines only, subtle alpha ≈ 0.10.
+      Legibility verdict: PASS — all text clearly readable against the warm off-white background. No "light on light" failures.
+
+    Dark render (plot-dark.png):
+      Background: Warm near-black consistent with #1A1A17 — not pure black. Correct theme surface.
+      Chrome: Title, axis labels, and tick labels rendered in light text (F0EFE8 / B8B7B0 range), clearly readable against the dark background. Reference line visible as a subtle dashed light-grey stroke. Same rectangular outline border visible in a lighter tone.
+      Data: Brand green (#009E73) stems and circular markers are identical in color to the light render — only chrome elements flipped. Value annotation labels visible in lighter text above each marker. Grid lines subtle and visible.
+      Legibility verdict: PASS — all text clearly readable against the warm near-black background. No dark-on-dark failures. Title, axis labels, tick labels, and value annotations all have adequate contrast.
+  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: 50pt title, 42pt axis labels, 34pt
+          tick labels, 24pt value annotations. Balanced X/Y sizing. Readable in both
+          themes.'
+      - id: VQ-02
+        name: No Overlap
+        score: 6
+        max: 6
+        passed: true
+        comment: No overlapping elements. Value labels clear of markers. Category
+          labels rotated to avoid collision.
+      - id: VQ-03
+        name: Element Visibility
+        score: 6
+        max: 6
+        passed: true
+        comment: '10 data points (sparse): size=42 markers and line_width=4 stems
+          are appropriately prominent. Green pops against both backgrounds.'
+      - id: VQ-04
+        name: Color Accessibility
+        score: 2
+        max: 2
+        passed: true
+        comment: 'Single series in brand green #009E73. High contrast on both surface
+          colors. CVD-safe.'
+      - id: VQ-05
+        name: Layout & Canvas
+        score: 4
+        max: 4
+        passed: true
+        comment: Canvas 3200×1800 correct. min_border settings (160/180/110/80) provide
+          generous margins. Plot fills canvas well with no wasted space.
+      - id: VQ-06
+        name: Axis Labels & Title
+        score: 2
+        max: 2
+        passed: true
+        comment: '''Cloud Service'' and ''Monthly Spend (USD)'' — descriptive with
+          units.'
+      - id: VQ-07
+        name: Palette Compliance
+        score: 2
+        max: 2
+        passed: true
+        comment: 'Single series uses #009E73 (Imprint position 1). Backgrounds #FAF8F1
+          (light) / #1A1A17 (dark). INK/INK_SOFT tokens used for all chrome. Both
+          renders theme-correct.'
+    design_excellence:
+      score: 12
+      max: 20
+      items:
+      - id: DE-01
+        name: Aesthetic Sophistication
+        score: 5
+        max: 8
+        passed: true
+        comment: 'Above a well-configured default: reference line, value annotations,
+          custom sizing, and coherent brand color. Not at ''strong design'' level
+          yet.'
+      - id: DE-02
+        name: Visual Refinement
+        score: 3
+        max: 6
+        passed: true
+        comment: 'Y-axis-only grid, minor ticks removed, appropriate whitespace. Downside:
+          full rectangular outline border (outline_line_color=INK_SOFT) instead of
+          L-spine removes the minimalist top/right spine effect.'
+      - id: DE-03
+        name: Data Storytelling
+        score: 4
+        max: 6
+        passed: true
+        comment: Average reference line immediately frames which services are above/below
+          budget. Sorted descending makes ranking obvious. Value labels reduce chart-reading
+          friction.
+    spec_compliance:
+      score: 13
+      max: 15
+      items:
+      - id: SC-01
+        name: Plot Type
+        score: 5
+        max: 5
+        passed: true
+        comment: 'Correct lollipop chart: segment() for stems, scatter() for circular
+          markers at data values.'
+      - id: SC-02
+        name: Required Features
+        score: 4
+        max: 4
+        passed: true
+        comment: Thin stems from baseline, circular markers, vertical orientation
+          (categories on x-axis), data sorted by value descending. All spec requirements
+          met.
+      - id: SC-03
+        name: Data Mapping
+        score: 3
+        max: 3
+        passed: true
+        comment: 'X-axis: Cloud Service categories. Y-axis: Monthly Spend (USD). All
+          10 data points visible.'
+      - id: SC-04
+        name: Title & Legend
+        score: 1
+        max: 3
+        passed: false
+        comment: 'Title ''lollipop-basic · bokeh · anyplot.ai'' is missing the ''python''
+          language component. Required: ''lollipop-basic · python · bokeh · anyplot.ai''.
+          No legend needed for single series (N/A).'
+    data_quality:
+      score: 15
+      max: 15
+      items:
+      - id: DQ-01
+        name: Feature Coverage
+        score: 6
+        max: 6
+        passed: true
+        comment: '10 categories showing full range of lollipop chart features: variable
+          stem lengths, visible markers at different heights, value annotations.'
+      - id: DQ-02
+        name: Realistic Context
+        score: 5
+        max: 5
+        passed: true
+        comment: Monthly cloud infrastructure spend by service category — real, neutral,
+          business context.
+      - id: DQ-03
+        name: Appropriate Scale
+        score: 4
+        max: 4
+        passed: true
+        comment: $6K–$94K monthly spend per service is realistic for a mid-sized tech
+          company. Proportions between categories are plausible.
+    code_quality:
+      score: 10
+      max: 10
+      items:
+      - id: CQ-01
+        name: KISS Structure
+        score: 3
+        max: 3
+        passed: true
+        comment: 'No functions or classes. Clean top-to-bottom: imports → tokens →
+          data → figure → styling → save.'
+      - id: CQ-02
+        name: Reproducibility
+        score: 2
+        max: 2
+        passed: true
+        comment: Deterministic hardcoded dataset. No randomness.
+      - id: CQ-03
+        name: Clean Imports
+        score: 2
+        max: 2
+        passed: true
+        comment: 'All imports used: io, os, time, pathlib, bokeh (figure, ColumnDataSource,
+          NumeralTickFormatter, Range1d, Span, output_file, save), PIL.Image, selenium.webdriver.'
+      - id: CQ-04
+        name: Code Elegance
+        score: 2
+        max: 2
+        passed: true
+        comment: Clean and Pythonic. PIL crop trick for exact canvas dimensions is
+          an elegant workaround for Bokeh/Chrome headless sizing issue.
+      - id: CQ-05
+        name: Output & API
+        score: 1
+        max: 1
+        passed: true
+        comment: Saves plot-{THEME}.png and plot-{THEME}.html. Uses current Bokeh
+          3.9.0 API.
+    library_mastery:
+      score: 8
+      max: 10
+      items:
+      - id: LM-01
+        name: Idiomatic Usage
+        score: 5
+        max: 5
+        passed: true
+        comment: 'Expertly uses Bokeh patterns: ColumnDataSource with named columns,
+          figure(x_range=categories) for categorical axis, segment()/scatter()/text()
+          glyph methods, Span layout model, Range1d, NumeralTickFormatter, full Selenium
+          screenshot pipeline.'
+      - id: LM-02
+        name: Distinctive Features
+        score: 3
+        max: 5
+        passed: true
+        comment: Span layout model for reference line is distinctly Bokeh. NumeralTickFormatter
+          for dollar formatting. HTML export as a first-class artifact alongside the
+          PNG. Could leverage HoverTool for additional distinctiveness.
+  verdict: REJECTED
+impl_tags:
+  dependencies:
+  - selenium
+  - pillow
+  techniques:
+  - annotations
+  - html-export
+  patterns:
+  - data-generation
+  - columndatasource
+  dataprep: []
+  styling:
+  - grid-styling

From d849477dc040a9e5b74998c7aa4c54535fbcb2ed Mon Sep 17 00:00:00 2001
From: "claude[bot]" <41898282+claude[bot]@users.noreply.github.com>
Date: Wed, 1 Jul 2026 06:11:43 +0000
Subject: [PATCH 4/5] fix(bokeh): address review feedback for lollipop-basic
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Attempt 1/3 - fixes based on AI review

- SC-04: add '· python ·' to title (was missing language component)
- DE-02: remove full rectangular outline border; rely on axis_line_color for L-spine
- DE-01: add 'Avg: $34.7K' text label to the average reference line
---
 .../implementations/python/bokeh.py           | 23 +++++++++++++++----
 1 file changed, 18 insertions(+), 5 deletions(-)

diff --git a/plots/lollipop-basic/implementations/python/bokeh.py b/plots/lollipop-basic/implementations/python/bokeh.py
index 8a1b9eeaef..cacaf1a1d6 100644
--- a/plots/lollipop-basic/implementations/python/bokeh.py
+++ b/plots/lollipop-basic/implementations/python/bokeh.py
@@ -1,4 +1,4 @@
-""" anyplot.ai
+"""anyplot.ai
 lollipop-basic: Basic Lollipop Chart
 Library: bokeh 3.9.1 | Python 3.13.14
 Quality: 88/100 | Updated: 2026-07-01
@@ -18,7 +18,7 @@
 from pathlib import Path
 
 from bokeh.io import output_file, save
-from bokeh.models import ColumnDataSource, NumeralTickFormatter, Range1d, Span
+from bokeh.models import ColumnDataSource, Label, NumeralTickFormatter, Range1d, Span
 from bokeh.plotting import figure
 from PIL import Image
 from selenium import webdriver
@@ -67,7 +67,7 @@
     height=1800,
     x_range=categories,
     y_range=Range1d(0, 108000),
-    title="lollipop-basic · bokeh · anyplot.ai",
+    title="lollipop-basic · python · bokeh · anyplot.ai",
     x_axis_label="Cloud Service",
     y_axis_label="Monthly Spend (USD)",
     toolbar_location=None,
@@ -77,8 +77,21 @@
     min_border_right=80,
 )
 
-# Average reference line
+# Average reference line + label
 p.add_layout(Span(location=avg_spend, dimension="width", line_color=INK_MUTED, line_width=3, line_dash="dashed"))
+p.add_layout(
+    Label(
+        x=2880,
+        y=avg_spend,  # screen x from plot-frame left; plot area = 3200-180-80=2940px wide
+        x_units="screen",
+        text=f"Avg: ${avg_spend / 1000:.1f}K",
+        text_font_size="22pt",
+        text_color=INK_MUTED,
+        text_align="right",
+        text_baseline="bottom",
+        y_offset=8,
+    )
+)
 
 # Stems
 p.segment(x0="categories", y0="zeros", x1="categories", y1="values", source=source, line_width=4, color=BRAND)
@@ -132,7 +145,7 @@
 # Background and chrome
 p.background_fill_color = PAGE_BG
 p.border_fill_color = PAGE_BG
-p.outline_line_color = INK_SOFT
+p.outline_line_color = None  # L-spine only: x/y axis_line_color handle bottom+left
 
 # Y-axis tick format
 p.yaxis.formatter = NumeralTickFormatter(format="$0,0")

From 1e86d5f28217b3e66bd644c7edae10f2bebe5327 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" <github-actions[bot]@users.noreply.github.com>
Date: Wed, 1 Jul 2026 06:20:05 +0000
Subject: [PATCH 5/5] chore(bokeh): update quality score 91 and review feedback
 for lollipop-basic

---
 .../implementations/python/bokeh.py           |   4 +-
 .../lollipop-basic/metadata/python/bokeh.yaml | 202 +++++++++---------
 2 files changed, 104 insertions(+), 102 deletions(-)

diff --git a/plots/lollipop-basic/implementations/python/bokeh.py b/plots/lollipop-basic/implementations/python/bokeh.py
index cacaf1a1d6..bc2a8a8fdc 100644
--- a/plots/lollipop-basic/implementations/python/bokeh.py
+++ b/plots/lollipop-basic/implementations/python/bokeh.py
@@ -1,7 +1,7 @@
-"""anyplot.ai
+""" anyplot.ai
 lollipop-basic: Basic Lollipop Chart
 Library: bokeh 3.9.1 | Python 3.13.14
-Quality: 88/100 | Updated: 2026-07-01
+Quality: 91/100 | Updated: 2026-07-01
 """
 
 import sys
diff --git a/plots/lollipop-basic/metadata/python/bokeh.yaml b/plots/lollipop-basic/metadata/python/bokeh.yaml
index 9831ca6ed5..e32824c8d8 100644
--- a/plots/lollipop-basic/metadata/python/bokeh.yaml
+++ b/plots/lollipop-basic/metadata/python/bokeh.yaml
@@ -2,7 +2,7 @@ library: bokeh
 language: python
 specification_id: lollipop-basic
 created: '2025-12-23T15:14:01Z'
-updated: '2026-07-01T06:06:30Z'
+updated: '2026-07-01T06:20:05Z'
 generated_by: claude-sonnet
 workflow_run: 28496532200
 issue: 934
@@ -12,49 +12,47 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/lollipop-
 preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/lollipop-basic/python/bokeh/plot-dark.png
 preview_html_light: https://storage.googleapis.com/anyplot-images/plots/lollipop-basic/python/bokeh/plot-light.html
 preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/lollipop-basic/python/bokeh/plot-dark.html
-quality_score: 88
+quality_score: 91
 review:
   strengths:
-  - 'Perfect visual quality: all font sizes explicitly set (50pt title, 42pt axis
-    labels, 34pt tick labels, 24pt value annotations), well-proportioned layout, readable
-    in both themes'
-  - 'Excellent data storytelling: dashed average reference line (Span) provides immediate
-    context for above/below-budget services; data sorted descending creates clear
-    visual ranking'
-  - Value labels above every lollipop head ($94K, $67K, …) eliminate the need to read
-    the y-axis for each bar, reducing cognitive load
-  - 'Idiomatic Bokeh usage: ColumnDataSource with named columns, Range1d for axis
-    bounds, NumeralTickFormatter for dollar ticks, Span for the reference line, proper
-    HTML + Selenium screenshot pipeline'
-  - Realistic, neutral cloud-spend dataset with plausible values ($6K–$94K/month),
-    deterministic data, and clean KISS code structure
-  - 'Correct Imprint palette compliance: brand green #009E73 for single series, #FAF8F1/#1A1A17
-    backgrounds, full theme-adaptive chrome (INK/INK_SOFT tokens on all labels and
-    axes)'
+  - Brand green (#009E73) used consistently for stems and circular markers
+  - White outline ring on scatter markers (line_color=PAGE_BG) adds professional definition
+  - Average reference line with dashed style and annotation contextualizes the data
+  - Value labels above each marker make values immediately readable without requiring
+    axis lookup
+  - Data sorted descending creates natural visual hierarchy guiding viewer from highest
+    to lowest
+  - Theme-adaptive chrome thoroughly applied — all ink tokens set for both light and
+    dark renders
+  - 'Excellent Bokeh idioms: ColumnDataSource, Span, NumeralTickFormatter, Label models'
+  - NumeralTickFormatter for y-axis dollar formatting is a polished library-specific
+    touch
   weaknesses:
-  - 'SC-04: Title is missing the ''python'' language component. Required format: ''lollipop-basic
-    · python · bokeh · anyplot.ai''. Current title: ''lollipop-basic · bokeh · anyplot.ai''.
-    Fix: add '' · python'' between spec-id and library name in the title string.'
-  - 'DE-02: Full rectangular outline border (outline_line_color=INK_SOFT) creates
-    an all-four-sides box. Style guide prefers L-spine (remove top and right). Fix:
-    set p.outline_line_color=None and rely on p.xaxis.axis_line_color + p.yaxis.axis_line_color
-    for the bottom/left spines only.'
-  - 'DE-01: Design is above the generic default but not at ''strong design'' level
-    — could use one more differentiating touch, e.g. coloring lollipop heads above-average
-    vs below-average (brand green vs muted), or adding a subtle ''Average: $34.7K''
-    text annotation to the reference line.'
+  - Average reference line label uses INK_MUTED for the reference line annotation
+    text which is good, but the label text at 22pt is noticeably smaller than the
+    34pt tick labels — consider bumping to 26-28pt for better readability at mobile
+    scale
+  - Single brand-green color for all lollipops misses an opportunity to emphasize
+    outliers (e.g. Compute at $94K could be highlighted via a slightly larger marker
+    or bolder stem) — color or size variation would elevate the storytelling
+  - X-axis tick labels are rotated at 0.5 radians which creates a slightly awkward
+    angled look — consider 0.7-0.8 radians for a steeper slant or π/4 for 45° diagonal
+    which reads more cleanly
+  - 'DE-02: Minor tick lines are explicitly set to None (good) but major tick lines
+    are still the default size — styling major_tick_line_width smaller would further
+    refine the chrome'
   image_description: |-
     Light render (plot-light.png):
-      Background: Warm off-white consistent with #FAF8F1 — not pure white, not neutral grey. Correct theme surface.
-      Chrome: Title "lollipop-basic · bokeh · anyplot.ai" in bold dark text, clearly readable. X-axis label "Cloud Service" and Y-axis label "Monthly Spend (USD)" in Bokeh's default italic style, both readable in dark ink. Tick labels on x-axis (10 rotated category names) and y-axis ($0–$100,000 in dollar format) are readable in INK_SOFT. A subtle dashed horizontal reference line sits at approximately $35K (average spend). Rectangular outline border visible around the data area (all four sides in INK_SOFT).
-      Data: Brand green (#009E73) stems (vertical lines) and large filled circular markers for all 10 categories. Value annotations above each lollipop head ($94K, $67K, $48K, $38K, $28K, $22K, $18K, $12K, $9K, $6K) in INK_SOFT at 24pt. Data sorted descending from Compute to Monitoring. Y-axis grid lines only, subtle alpha ≈ 0.10.
-      Legibility verdict: PASS — all text clearly readable against the warm off-white background. No "light on light" failures.
+      Background: Warm off-white #FAF8F1 — correct, clearly not pure white.
+      Chrome: Title "lollipop-basic · python · bokeh · anyplot.ai" in bold dark ink, ~60-65% of canvas width, well-proportioned. X-axis label "Cloud Service" and Y-axis label "Monthly Spend (USD)" in dark INK at 42pt — balanced and readable. Tick labels in INK_SOFT at 34pt — legible. X-axis categories rotated ~28° to avoid overlap. Y-axis formatted as "$0"–"$100,000" in dollar notation.
+      Data: 10 lollipops all in brand green #009E73 with white outline rings, sorted descending (Compute $94K → Monitoring $6K). Stems as thin vertical lines from baseline. Circular markers prominently visible. Value labels ("$94K", "$67K", etc.) in INK_SOFT above each marker. Dashed average reference line with "Avg: $34.7K" annotation in INK_MUTED. Y-only subtle grid at 10% alpha.
+      Legibility verdict: PASS — all text clearly readable against the warm off-white background. No light-on-light issues.
 
     Dark render (plot-dark.png):
-      Background: Warm near-black consistent with #1A1A17 — not pure black. Correct theme surface.
-      Chrome: Title, axis labels, and tick labels rendered in light text (F0EFE8 / B8B7B0 range), clearly readable against the dark background. Reference line visible as a subtle dashed light-grey stroke. Same rectangular outline border visible in a lighter tone.
-      Data: Brand green (#009E73) stems and circular markers are identical in color to the light render — only chrome elements flipped. Value annotation labels visible in lighter text above each marker. Grid lines subtle and visible.
-      Legibility verdict: PASS — all text clearly readable against the warm near-black background. No dark-on-dark failures. Title, axis labels, tick labels, and value annotations all have adequate contrast.
+      Background: Warm near-black #1A1A17 — correct, clearly not pure black.
+      Chrome: Title in light #F0EFE8 ink — readable. Axis labels and tick labels in INK_SOFT (#B8B7B0) — clearly legible against the dark surface. No dark-on-dark failures observed.
+      Data: Identical brand green #009E73 lollipops with white-ring markers — data colors unchanged from light render as required. Value labels in INK_SOFT (#B8B7B0) remain visible. Average reference line and annotation adapt correctly to dark chrome.
+      Legibility verdict: PASS — all text readable against the near-black background. Chrome correctly flips while data colors remain identical to the light render.
   criteria_checklist:
     visual_quality:
       score: 30
@@ -65,54 +63,55 @@ review:
         score: 8
         max: 8
         passed: true
-        comment: 'All font sizes explicitly set: 50pt title, 42pt axis labels, 34pt
-          tick labels, 24pt value annotations. Balanced X/Y sizing. Readable in both
-          themes.'
+        comment: 'All font sizes explicitly set: title 50pt, axis labels 42pt, tick
+          labels 34pt, value labels 24pt, avg annotation 22pt. Well-proportioned in
+          both renders. No overflow. Readable in both themes.'
       - id: VQ-02
         name: No Overlap
         score: 6
         max: 6
         passed: true
-        comment: No overlapping elements. Value labels clear of markers. Category
-          labels rotated to avoid collision.
+        comment: No overlapping elements. Value labels well-spaced above markers.
+          X-axis tick labels rotated to avoid collision. No text-on-data overlap.
       - id: VQ-03
         name: Element Visibility
         score: 6
         max: 6
         passed: true
-        comment: '10 data points (sparse): size=42 markers and line_width=4 stems
-          are appropriately prominent. Green pops against both backgrounds.'
+        comment: Markers at size=42 are prominently visible for 10 sparse data points.
+          Stems at line_width=4 clearly visible. Appropriate sizing for the data density.
       - id: VQ-04
         name: Color Accessibility
         score: 2
         max: 2
         passed: true
-        comment: 'Single series in brand green #009E73. High contrast on both surface
-          colors. CVD-safe.'
+        comment: Single-color brand green (#009E73) with good contrast on both backgrounds.
+          White outline ring on markers adds definition. CVD-safe — no red-green conflict.
       - id: VQ-05
         name: Layout & Canvas
         score: 4
         max: 4
         passed: true
-        comment: Canvas 3200×1800 correct. min_border settings (160/180/110/80) provide
-          generous margins. Plot fills canvas well with no wasted space.
+        comment: 'Well-balanced layout. Plot fills good portion of 3200x1800 canvas.
+          Appropriate margins (min_border: left 180, bottom 160, top 110, right 80).
+          Canvas gate passed — no dimension drift.'
       - id: VQ-06
         name: Axis Labels & Title
         score: 2
         max: 2
         passed: true
-        comment: '''Cloud Service'' and ''Monthly Spend (USD)'' — descriptive with
-          units.'
+        comment: Y-axis 'Monthly Spend (USD)' has units. X-axis 'Cloud Service' is
+          descriptive. Title format correct.
       - id: VQ-07
         name: Palette Compliance
         score: 2
         max: 2
         passed: true
-        comment: 'Single series uses #009E73 (Imprint position 1). Backgrounds #FAF8F1
-          (light) / #1A1A17 (dark). INK/INK_SOFT tokens used for all chrome. Both
-          renders theme-correct.'
+        comment: 'Brand green #009E73 as sole data color. Backgrounds #FAF8F1 (light)
+          / #1A1A17 (dark) correct. All chrome tokens theme-adaptive (INK, INK_SOFT,
+          INK_MUTED). Both renders pass. Data colors identical across themes.'
     design_excellence:
-      score: 12
+      score: 13
       max: 20
       items:
       - id: DE-01
@@ -120,27 +119,29 @@ review:
         score: 5
         max: 8
         passed: true
-        comment: 'Above a well-configured default: reference line, value annotations,
-          custom sizing, and coherent brand color. Not at ''strong design'' level
-          yet.'
+        comment: 'Above well-configured default. Intentional choices: white outline
+          ring on markers (line_color=PAGE_BG), average reference line with annotation,
+          sorted data, value labels. Not yet at FiveThirtyEight sophistication level
+          — no color hierarchy or dramatic emphasis.'
       - id: DE-02
         name: Visual Refinement
-        score: 3
+        score: 4
         max: 6
         passed: true
-        comment: 'Y-axis-only grid, minor ticks removed, appropriate whitespace. Downside:
-          full rectangular outline border (outline_line_color=INK_SOFT) instead of
-          L-spine removes the minimalist top/right spine effect.'
+        comment: Y-only subtle grid at 10% alpha. No outer frame (outline_line_color=None).
+          Minor ticks suppressed. Theme-adaptive chrome throughout. Good refinement
+          visible above defaults, not yet 'perfect'.
       - id: DE-03
         name: Data Storytelling
         score: 4
         max: 6
         passed: true
-        comment: Average reference line immediately frames which services are above/below
-          budget. Sorted descending makes ranking obvious. Value labels reduce chart-reading
-          friction.
+        comment: 'Sorted descending order creates visual hierarchy. Average reference
+          line contextualizes which services are above/below average. Value labels
+          make data immediately readable. Viewer quickly identifies the story. Missing:
+          color/size emphasis on outliers.'
     spec_compliance:
-      score: 13
+      score: 15
       max: 15
       items:
       - id: SC-01
@@ -148,31 +149,31 @@ review:
         score: 5
         max: 5
         passed: true
-        comment: 'Correct lollipop chart: segment() for stems, scatter() for circular
-          markers at data values.'
+        comment: 'Correct lollipop chart: segment() for stems from baseline, scatter()
+          for circular markers at data values. Vertical orientation with categories
+          on x-axis.'
       - id: SC-02
         name: Required Features
         score: 4
         max: 4
         passed: true
-        comment: Thin stems from baseline, circular markers, vertical orientation
-          (categories on x-axis), data sorted by value descending. All spec requirements
-          met.
+        comment: 'All spec features present: thin stems, circular markers, vertical
+          orientation, categories on x-axis, values on y-axis, data sorted by value
+          descending.'
       - id: SC-03
         name: Data Mapping
         score: 3
         max: 3
         passed: true
-        comment: 'X-axis: Cloud Service categories. Y-axis: Monthly Spend (USD). All
-          10 data points visible.'
+        comment: Categories on x-axis (Cloud Service), values on y-axis (Monthly Spend).
+          All 10 categories visible. Range $0-$100K covers all data.
       - id: SC-04
         name: Title & Legend
-        score: 1
+        score: 3
         max: 3
-        passed: false
-        comment: 'Title ''lollipop-basic · bokeh · anyplot.ai'' is missing the ''python''
-          language component. Required: ''lollipop-basic · python · bokeh · anyplot.ai''.
-          No legend needed for single series (N/A).'
+        passed: true
+        comment: Title 'lollipop-basic · python · bokeh · anyplot.ai' matches required
+          format. No legend needed for single-series — correctly omitted.
     data_quality:
       score: 15
       max: 15
@@ -182,22 +183,24 @@ review:
         score: 6
         max: 6
         passed: true
-        comment: '10 categories showing full range of lollipop chart features: variable
-          stem lengths, visible markers at different heights, value annotations.'
+        comment: Shows all lollipop features with good value range ($6.8K to $94.2K).
+          Natural variation in heights demonstrates the chart type effectively.
       - id: DQ-02
         name: Realistic Context
         score: 5
         max: 5
         passed: true
         comment: Monthly cloud infrastructure spend by service category — real, neutral,
-          business context.
+          business scenario. Realistic categories (Compute, Storage, Networking, Database,
+          Security, Analytics, AI/ML, IoT, DevOps, Monitoring).
       - id: DQ-03
         name: Appropriate Scale
         score: 4
         max: 4
         passed: true
-        comment: $6K–$94K monthly spend per service is realistic for a mid-sized tech
-          company. Proportions between categories are plausible.
+        comment: Values plausible for a mid-size tech company (~$347K/month total
+          cloud spend). Proportions between services (Compute largest, Monitoring
+          smallest) are realistic. No factual issues.
     code_quality:
       score: 10
       max: 10
@@ -207,35 +210,35 @@ review:
         score: 3
         max: 3
         passed: true
-        comment: 'No functions or classes. Clean top-to-bottom: imports → tokens →
-          data → figure → styling → save.'
+        comment: 'Linear flow: imports → theme constants → data → figure → glyphs
+          → styling → output. No functions or classes.'
       - id: CQ-02
         name: Reproducibility
         score: 2
         max: 2
         passed: true
-        comment: Deterministic hardcoded dataset. No randomness.
+        comment: Fully deterministic — hardcoded data arrays, no random generation.
       - id: CQ-03
         name: Clean Imports
         score: 2
         max: 2
         passed: true
-        comment: 'All imports used: io, os, time, pathlib, bokeh (figure, ColumnDataSource,
-          NumeralTickFormatter, Range1d, Span, output_file, save), PIL.Image, selenium.webdriver.'
+        comment: 'All imports used: sys, io, os, time, pathlib.Path, bokeh models,
+          PIL.Image, selenium.'
       - id: CQ-04
         name: Code Elegance
         score: 2
         max: 2
         passed: true
-        comment: Clean and Pythonic. PIL crop trick for exact canvas dimensions is
-          an elegant workaround for Bokeh/Chrome headless sizing issue.
+        comment: Clean, idiomatic Python. Appropriate complexity. No over-engineering.
+          sys.path fix is necessary and documented.
       - id: CQ-05
         name: Output & API
         score: 1
         max: 1
         passed: true
-        comment: Saves plot-{THEME}.png and plot-{THEME}.html. Uses current Bokeh
-          3.9.0 API.
+        comment: Saves plot-{THEME}.html and plot-{THEME}.png correctly. Uses current
+          Bokeh 3.9 API.
     library_mastery:
       score: 8
       max: 10
@@ -245,19 +248,18 @@ review:
         score: 5
         max: 5
         passed: true
-        comment: 'Expertly uses Bokeh patterns: ColumnDataSource with named columns,
-          figure(x_range=categories) for categorical axis, segment()/scatter()/text()
-          glyph methods, Span layout model, Range1d, NumeralTickFormatter, full Selenium
-          screenshot pipeline.'
+        comment: 'Expert Bokeh usage: ColumnDataSource for all data, Span for reference
+          line, Label with x_units=''screen'' for annotation, NumeralTickFormatter
+          for dollar formatting, proper Selenium screenshot pattern per library guide.'
       - id: LM-02
         name: Distinctive Features
         score: 3
         max: 5
         passed: true
-        comment: Span layout model for reference line is distinctly Bokeh. NumeralTickFormatter
-          for dollar formatting. HTML export as a first-class artifact alongside the
-          PNG. Could leverage HoverTool for additional distinctiveness.
-  verdict: REJECTED
+        comment: Uses Bokeh-specific Span model, NumeralTickFormatter, Label with
+          mixed coordinate units. HTML interactive export via output_file+save. Core
+          segment+scatter technique is library-agnostic — partial credit.
+  verdict: APPROVED
 impl_tags:
   dependencies:
   - selenium
@@ -266,8 +268,8 @@ impl_tags:
   - annotations
   - html-export
   patterns:
-  - data-generation
   - columndatasource
   dataprep: []
   styling:
+  - edge-highlighting
   - grid-styling