fix: resolve CI failures across all GitHub Actions workflows
- Fix ruff format issue in doc_scraper.py - Add pytest skip markers for browser renderer tests when Playwright is not installed in CI - Replace broken Python heredocs in 4 workflow YAML files (scheduled-updates, vector-db-export, quality-metrics, test-vector-dbs) with python3 -c calls to fix YAML parsing errors Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
61
.github/workflows/quality-metrics.yml
vendored
61
.github/workflows/quality-metrics.yml
vendored
@@ -88,48 +88,43 @@ jobs:
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echo "🔍 Analyzing $SKILL_NAME..."
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# Run quality analysis
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python3 << 'EOF' "$skill_dir" "$THRESHOLD" "$SKILL_NAME"
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import sys
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from pathlib import Path
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sys.path.insert(0, 'src')
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python3 -c "
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import sys
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from pathlib import Path
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from skill_seekers.cli.quality_metrics import QualityAnalyzer
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from skill_seekers.cli.quality_metrics import QualityAnalyzer
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skill_dir = Path(sys.argv[1])
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threshold = float(sys.argv[2])
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skill_name = sys.argv[3]
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skill_dir = Path('$skill_dir')
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threshold = float('$THRESHOLD')
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skill_name = '$SKILL_NAME'
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analyzer = QualityAnalyzer(skill_dir)
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report = analyzer.generate_report()
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analyzer = QualityAnalyzer(skill_dir)
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report = analyzer.generate_report()
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# Print formatted report
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formatted = analyzer.format_report(report)
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print(formatted)
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formatted = analyzer.format_report(report)
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print(formatted)
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# Save individual report
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with open(f'quality_{skill_name}.txt', 'w') as f:
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f.write(formatted)
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with open(f'quality_{skill_name}.txt', 'w') as f:
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f.write(formatted)
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# Add to summary
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score = report.overall_score.total_score
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grade = report.overall_score.grade
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status = "✅" if score >= threshold else "❌"
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score = report.overall_score.total_score
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grade = report.overall_score.grade
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status = 'PASS' if score >= threshold else 'FAIL'
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summary_line = f"{status} **{skill_name}**: {grade} ({score:.1f}/100)"
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print(f"\n{summary_line}")
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summary_line = f'{status} **{skill_name}**: {grade} ({score:.1f}/100)'
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print(f'\n{summary_line}')
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with open('quality_summary.md', 'a') as f:
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f.write(f"{summary_line}\n")
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with open('quality_summary.md', 'a') as f:
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f.write(f'{summary_line}\n')
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# Set metrics as annotations
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if score < threshold:
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print(f"::error file={skill_dir}/SKILL.md::Quality score {score:.1f} is below threshold {threshold}")
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sys.exit(1)
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elif score < 80:
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print(f"::warning file={skill_dir}/SKILL.md::Quality score {score:.1f} could be improved")
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else:
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print(f"::notice file={skill_dir}/SKILL.md::Quality score {score:.1f} - Excellent!")
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EOF
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if score < threshold:
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print(f'::error file={skill_dir}/SKILL.md::Quality score {score:.1f} is below threshold {threshold}')
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sys.exit(1)
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elif score < 80:
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print(f'::warning file={skill_dir}/SKILL.md::Quality score {score:.1f} could be improved')
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else:
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print(f'::notice file={skill_dir}/SKILL.md::Quality score {score:.1f} - Excellent!')
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"
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if [ $? -ne 0 ]; then
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ALL_PASSED=false
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70
.github/workflows/scheduled-updates.yml
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70
.github/workflows/scheduled-updates.yml
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@@ -86,32 +86,28 @@ jobs:
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SKILL_DIR="output/$FRAMEWORK"
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# Detect changes using incremental updater
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python3 << 'EOF'
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import sys
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from pathlib import Path
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sys.path.insert(0, 'src')
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python3 -c "
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import sys, os
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from pathlib import Path
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from skill_seekers.cli.incremental_updater import IncrementalUpdater
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import os
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from skill_seekers.cli.incremental_updater import IncrementalUpdater
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framework = os.environ['FRAMEWORK']
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skill_dir = Path(f'output/{framework}')
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framework = os.environ['FRAMEWORK']
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skill_dir = Path(f'output/{framework}')
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updater = IncrementalUpdater(skill_dir)
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changes = updater.detect_changes()
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updater = IncrementalUpdater(skill_dir)
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changes = updater.detect_changes()
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if changes.has_changes:
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print(f"🔄 Changes detected:")
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print(f" Added: {len(changes.added)}")
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print(f" Modified: {len(changes.modified)}")
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print(f" Deleted: {len(changes.deleted)}")
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# Save current versions for next run
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updater.current_versions = updater._scan_documents()
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updater.save_current_versions()
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else:
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print("✓ No changes detected, skill is up to date")
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EOF
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if changes.has_changes:
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print(f'Changes detected:')
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print(f' Added: {len(changes.added)}')
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print(f' Modified: {len(changes.modified)}')
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print(f' Deleted: {len(changes.deleted)}')
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updater.current_versions = updater._scan_documents()
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updater.save_current_versions()
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else:
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print('No changes detected, skill is up to date')
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"
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- name: Full scrape (if new or manual)
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if: steps.should_update.outputs.update == 'true' && steps.check_existing.outputs.exists == 'false'
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@@ -140,26 +136,24 @@ EOF
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echo "📊 Generating quality metrics..."
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python3 << 'EOF'
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import sys
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import os
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from pathlib import Path
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sys.path.insert(0, 'src')
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python3 -c "
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import sys, os
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from pathlib import Path
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from skill_seekers.cli.quality_metrics import QualityAnalyzer
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from skill_seekers.cli.quality_metrics import QualityAnalyzer
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framework = os.environ['FRAMEWORK']
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skill_dir = Path(f'output/{framework}')
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framework = os.environ['FRAMEWORK']
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skill_dir = Path(f'output/{framework}')
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analyzer = QualityAnalyzer(skill_dir)
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report = analyzer.generate_report()
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analyzer = QualityAnalyzer(skill_dir)
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report = analyzer.generate_report()
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print(f"\n📊 Quality Score: {report.overall_score.grade} ({report.overall_score.total_score:.1f}/100)")
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print(f" Completeness: {report.overall_score.completeness:.1f}%")
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print(f" Accuracy: {report.overall_score.accuracy:.1f}%")
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print(f" Coverage: {report.overall_score.coverage:.1f}%")
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print(f" Health: {report.overall_score.health:.1f}%")
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EOF
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print(f'Quality Score: {report.overall_score.grade} ({report.overall_score.total_score:.1f}/100)')
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print(f' Completeness: {report.overall_score.completeness:.1f}%')
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print(f' Accuracy: {report.overall_score.accuracy:.1f}%')
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print(f' Coverage: {report.overall_score.coverage:.1f}%')
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print(f' Health: {report.overall_score.health:.1f}%')
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"
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- name: Package for Claude
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if: steps.should_update.outputs.update == 'true'
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28
.github/workflows/test-vector-dbs.yml
vendored
28
.github/workflows/test-vector-dbs.yml
vendored
@@ -63,23 +63,17 @@ jobs:
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echo "# Reference" > test_skill/references/ref.md
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# Test adaptor packaging
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python3 << 'EOF'
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import sys
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import os
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from pathlib import Path
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sys.path.insert(0, 'src')
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from skill_seekers.cli.adaptors import get_adaptor
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adaptor_name = os.environ['ADAPTOR_NAME']
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adaptor = get_adaptor(adaptor_name)
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package_path = adaptor.package(Path('test_skill'), Path('.'))
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print(f"✅ Package created: {package_path}")
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# Verify package exists
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assert package_path.exists(), "Package file not created"
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print(f"📦 Package size: {package_path.stat().st_size} bytes")
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EOF
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python3 -c "
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import os
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from pathlib import Path
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from skill_seekers.cli.adaptors import get_adaptor
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adaptor_name = os.environ['ADAPTOR_NAME']
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adaptor = get_adaptor(adaptor_name)
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package_path = adaptor.package(Path('test_skill'), Path('.'))
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print(f'Package created: {package_path}')
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assert package_path.exists(), 'Package file not created'
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print(f'Package size: {package_path.stat().st_size} bytes')
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"
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- name: Upload test package
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uses: actions/upload-artifact@v3
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40
.github/workflows/vector-db-export.yml
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40
.github/workflows/vector-db-export.yml
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@@ -106,16 +106,12 @@ jobs:
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echo "🔹 Exporting to $target..."
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# Use adaptor directly via CLI
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python -c "
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import sys
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from pathlib import Path
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sys.path.insert(0, 'src')
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from skill_seekers.cli.adaptors import get_adaptor
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adaptor = get_adaptor('$target')
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package_path = adaptor.package(Path('$SKILL_DIR'), Path('output'))
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print(f'✅ Exported to {package_path}')
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python3 -c "
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from pathlib import Path
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from skill_seekers.cli.adaptors import get_adaptor
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adaptor = get_adaptor('$target')
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package_path = adaptor.package(Path('$SKILL_DIR'), Path('output'))
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print(f'Exported to {package_path}')
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"
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if [ $? -eq 0 ]; then
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@@ -133,21 +129,15 @@ print(f'✅ Exported to {package_path}')
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if [ -d "$SKILL_DIR" ]; then
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echo "📊 Generating quality metrics..."
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python -c "
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import sys
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from pathlib import Path
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sys.path.insert(0, 'src')
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from skill_seekers.cli.quality_metrics import QualityAnalyzer
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analyzer = QualityAnalyzer(Path('$SKILL_DIR'))
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report = analyzer.generate_report()
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formatted = analyzer.format_report(report)
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print(formatted)
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# Save to file
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with open('quality_report_${SKILL_NAME}.txt', 'w') as f:
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f.write(formatted)
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python3 -c "
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from pathlib import Path
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from skill_seekers.cli.quality_metrics import QualityAnalyzer
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analyzer = QualityAnalyzer(Path('$SKILL_DIR'))
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report = analyzer.generate_report()
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formatted = analyzer.format_report(report)
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print(formatted)
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with open('quality_report_${SKILL_NAME}.txt', 'w') as f:
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f.write(formatted)
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"
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fi
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continue-on-error: true
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