Add Python visualization charts to daily-code-metrics workflow

[Copilot]

Adds 6 high-quality visualization charts to the daily-code-metrics workflow, matching the pattern established in daily-issues-report.

Changes

Imports & Configuration

• Replace shared/trending-charts-simple.md → shared/python-dataviz.md + shared/trends.md
• Add upload-asset safe-output for chart publishing

Required Charts (300 DPI, 12x7", seaborn styling)

1. loc_by_language.png - LOC distribution by language (horizontal bar)
2. top_directories.png - Top 10 directories by LOC with percentages
3. quality_score_breakdown.png - Quality components: Test 30%, Organization 25%, Docs 20%, Churn 15%, Comments 10%
4. test_coverage.png - Test vs source LOC comparison with ratios
5. code_churn.png - Top 10 changed files (7d, diverging bar)
6. historical_trends.png - 30-day trends: LOC, test coverage %, quality score (multi-line series)

Report Format

• Chart embedding via asset URLs in discussion body
• Collapsible details section for metric tables
• Python script template for data collection and visualization

Example Chart Specification

# Chart 6: Historical Trends
fig, ax = plt.subplots(figsize=(12, 7), dpi=300)
df.plot(y=['loc', 'test_coverage_pct', 'quality_score'], ax=ax)
ax.set_title('Historical Trends (30 Days)', fontsize=16, fontweight='bold')
plt.savefig('/tmp/gh-aw/python/charts/historical_trends.png', 
            dpi=300, bbox_inches='tight')

File Size: 392 lines (+296), lock file 2,215 lines (+900)

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Original prompt

---

This section details on the original issue you should resolve

<issue_title>Add charts and visualization to daily-code-metrics workflow</issue_title>
<issue_description># Q Workflow Optimization Report

Context

This PR addresses @pelikhan's request in discussion #8467 to "add charts and visualization" to the daily-code-metrics workflow, following the pattern from the daily-issues-report workflow.

Issues Found (Analysis)

Daily Code Metrics Workflow

Current State:

• Uses shared/trending-charts-simple.md for basic chart support
• Generates text-based reports without visual charts
• No embedded images in discussion reports
• Missing asset upload capability for charts

Comparison with Daily Issues Report:

• Daily issues report uses shared/python-dataviz.md for full Python visualization
• Generates multiple high-quality charts with matplotlib/seaborn
• Uploads charts as assets and embeds them in discussions
• Professional 300 DPI charts with consistent styling

Changes Made

.github/workflows/daily-code-metrics.md

Import Updates:

• ✅ Replaced shared/trending-charts-simple.md with shared/python-dataviz.md
• ✅ Added shared/trends.md for trending analysis patterns

New Visualization Section:
Added comprehensive "Data Visualization with Python" section specifying 6 required charts:

1. loc_by_language.png - Bar chart of LOC distribution by programming language

   • Horizontal bars sorted by LOC
   • Percentage labels
   • Color-coded by language type

2. top_directories.png - Top 10 directories by LOC

   • Directory paths with LOC counts
   • Percentage of total codebase

3. quality_score_breakdown.png - Quality score component breakdown

   • Shows Test 30%, Organization 25%, Docs 20%, Churn 15%, Comments 10%
   • Current score vs target visualization

4. test_coverage.png - Test vs source code comparison

   • Test LOC vs source LOC
   • Test-to-source ratio visualization

5. code_churn.png - Top 10 most changed files (7 days)

   • Lines added/deleted per file
   • Net change highlighting

6. historical_trends.png - Multi-line time series

   • LOC, test coverage %, quality score over 30 days
   • Trend lines with multiple y-axes

Chart Quality Standards:

• DPI: 300 minimum for publication quality
• Figure size: 12x7 inches (consistent with daily-issues)
• Seaborn styling with professional color palettes
• Clear titles, labels, legends, grid lines
• Save with bbox_inches='tight' for proper cropping

Report Format Updates:

• Updated discussion structure to embed chart images
• Instructions for asset upload workflow
• Markdown image syntax for embedded charts
• Professional report layout with collapsible details

Python Script Structure:

• Template for data collection and analysis
• Chart generation workflow
• Historical data loading from repo-memory
• Metrics aggregation and storage

Expected Improvements

User Experience

• Visual insights: 6 embedded charts make trends immediately visible
• Professional reports: High-quality visualizations enhance credibility
• Better comprehension: Charts convey complex metrics at a glance
• Consistent branding: Matches style of daily-issues-report

Technical Benefits

• Reusable patterns: Uses established shared workflow imports
• Maintainable: Python scripts can be cached and reused
• Asset management: Charts uploaded as GitHub assets for permanent URLs
• Historical tracking: repo-memory integration for trend analysis

Specific Improvements

• ✅ Adds 6 high-quality visualization charts
• ✅ Enables asset upload for embedded images
• ✅ Provides Python script structure for data analysis
• ✅ Standardizes report format with visual components
• ✅ Maintains 15-minute timeout (efficient execution)
• ✅ Uses professional 300 DPI charts
• ✅ Follows patterns from daily-issues-report

Validation

Workflow compiled successfully:

✓ .github/workflows/daily-code-metrics.md (94.8 KB)
✓ Compiled 1 workflow(s): 0 error(s), 0 warning(s)

Changes:

• 1 file modified: .github/workflows/daily-code-metrics.md
• +179 lines added (chart specifications and documentation)
• -3 lines removed (replaced import)

Implementation Notes

The workflow now follows the same visualization pattern as daily-issues-report.md:

1. Shared imports: Uses python-dataviz.md for Python environment setup
2. Chart generation: Agent creates charts using matplotlib/seaborn
3. Asset upload: Charts uploaded using upload asset safe-output tool
4. Report embedding: Chart URLs embedded in markdown discussion

The agent will need to:

1. Collect code metrics using existing bash commands (cloc, git log, etc.)
2. Generate Python script to create 6 charts
3. Upload charts as assets
4. Create discussion with embedded chart images

References

• Related discussion: Daily Code Metrics Report - 2026-01-01 #8467 (Daily Code Metrics Report - 2026-01-01)
• Pattern source...

• Fixes Add charts and visualization to daily-code-metrics workflow #8518

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