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:
yusyus
2026-03-29 20:40:45 +03:00
parent 6fded977dd
commit 00c72ea4a3
6 changed files with 99 additions and 116 deletions

View File

@@ -88,48 +88,43 @@ jobs:
echo "🔍 Analyzing $SKILL_NAME..."
# Run quality analysis
python3 << 'EOF' "$skill_dir" "$THRESHOLD" "$SKILL_NAME"
import sys
from pathlib import Path
sys.path.insert(0, 'src')
python3 -c "
import sys
from pathlib import Path
from skill_seekers.cli.quality_metrics import QualityAnalyzer
from skill_seekers.cli.quality_metrics import QualityAnalyzer
skill_dir = Path(sys.argv[1])
threshold = float(sys.argv[2])
skill_name = sys.argv[3]
skill_dir = Path('$skill_dir')
threshold = float('$THRESHOLD')
skill_name = '$SKILL_NAME'
analyzer = QualityAnalyzer(skill_dir)
report = analyzer.generate_report()
analyzer = QualityAnalyzer(skill_dir)
report = analyzer.generate_report()
# Print formatted report
formatted = analyzer.format_report(report)
print(formatted)
formatted = analyzer.format_report(report)
print(formatted)
# Save individual report
with open(f'quality_{skill_name}.txt', 'w') as f:
f.write(formatted)
with open(f'quality_{skill_name}.txt', 'w') as f:
f.write(formatted)
# Add to summary
score = report.overall_score.total_score
grade = report.overall_score.grade
status = "✅" if score >= threshold else "❌"
score = report.overall_score.total_score
grade = report.overall_score.grade
status = 'PASS' if score >= threshold else 'FAIL'
summary_line = f"{status} **{skill_name}**: {grade} ({score:.1f}/100)"
print(f"\n{summary_line}")
summary_line = f'{status} **{skill_name}**: {grade} ({score:.1f}/100)'
print(f'\n{summary_line}')
with open('quality_summary.md', 'a') as f:
f.write(f"{summary_line}\n")
with open('quality_summary.md', 'a') as f:
f.write(f'{summary_line}\n')
# Set metrics as annotations
if score < threshold:
print(f"::error file={skill_dir}/SKILL.md::Quality score {score:.1f} is below threshold {threshold}")
sys.exit(1)
elif score < 80:
print(f"::warning file={skill_dir}/SKILL.md::Quality score {score:.1f} could be improved")
else:
print(f"::notice file={skill_dir}/SKILL.md::Quality score {score:.1f} - Excellent!")
EOF
if score < threshold:
print(f'::error file={skill_dir}/SKILL.md::Quality score {score:.1f} is below threshold {threshold}')
sys.exit(1)
elif score < 80:
print(f'::warning file={skill_dir}/SKILL.md::Quality score {score:.1f} could be improved')
else:
print(f'::notice file={skill_dir}/SKILL.md::Quality score {score:.1f} - Excellent!')
"
if [ $? -ne 0 ]; then
ALL_PASSED=false

View File

@@ -86,32 +86,28 @@ jobs:
SKILL_DIR="output/$FRAMEWORK"
# Detect changes using incremental updater
python3 << 'EOF'
import sys
from pathlib import Path
sys.path.insert(0, 'src')
python3 -c "
import sys, os
from pathlib import Path
from skill_seekers.cli.incremental_updater import IncrementalUpdater
import os
from skill_seekers.cli.incremental_updater import IncrementalUpdater
framework = os.environ['FRAMEWORK']
skill_dir = Path(f'output/{framework}')
framework = os.environ['FRAMEWORK']
skill_dir = Path(f'output/{framework}')
updater = IncrementalUpdater(skill_dir)
changes = updater.detect_changes()
updater = IncrementalUpdater(skill_dir)
changes = updater.detect_changes()
if changes.has_changes:
print(f"🔄 Changes detected:")
print(f" Added: {len(changes.added)}")
print(f" Modified: {len(changes.modified)}")
print(f" Deleted: {len(changes.deleted)}")
# Save current versions for next run
updater.current_versions = updater._scan_documents()
updater.save_current_versions()
else:
print("✓ No changes detected, skill is up to date")
EOF
if changes.has_changes:
print(f'Changes detected:')
print(f' Added: {len(changes.added)}')
print(f' Modified: {len(changes.modified)}')
print(f' Deleted: {len(changes.deleted)}')
updater.current_versions = updater._scan_documents()
updater.save_current_versions()
else:
print('No changes detected, skill is up to date')
"
- name: Full scrape (if new or manual)
if: steps.should_update.outputs.update == 'true' && steps.check_existing.outputs.exists == 'false'
@@ -140,26 +136,24 @@ EOF
echo "📊 Generating quality metrics..."
python3 << 'EOF'
import sys
import os
from pathlib import Path
sys.path.insert(0, 'src')
python3 -c "
import sys, os
from pathlib import Path
from skill_seekers.cli.quality_metrics import QualityAnalyzer
from skill_seekers.cli.quality_metrics import QualityAnalyzer
framework = os.environ['FRAMEWORK']
skill_dir = Path(f'output/{framework}')
framework = os.environ['FRAMEWORK']
skill_dir = Path(f'output/{framework}')
analyzer = QualityAnalyzer(skill_dir)
report = analyzer.generate_report()
analyzer = QualityAnalyzer(skill_dir)
report = analyzer.generate_report()
print(f"\n📊 Quality Score: {report.overall_score.grade} ({report.overall_score.total_score:.1f}/100)")
print(f" Completeness: {report.overall_score.completeness:.1f}%")
print(f" Accuracy: {report.overall_score.accuracy:.1f}%")
print(f" Coverage: {report.overall_score.coverage:.1f}%")
print(f" Health: {report.overall_score.health:.1f}%")
EOF
print(f'Quality Score: {report.overall_score.grade} ({report.overall_score.total_score:.1f}/100)')
print(f' Completeness: {report.overall_score.completeness:.1f}%')
print(f' Accuracy: {report.overall_score.accuracy:.1f}%')
print(f' Coverage: {report.overall_score.coverage:.1f}%')
print(f' Health: {report.overall_score.health:.1f}%')
"
- name: Package for Claude
if: steps.should_update.outputs.update == 'true'

View File

@@ -63,23 +63,17 @@ jobs:
echo "# Reference" > test_skill/references/ref.md
# Test adaptor packaging
python3 << 'EOF'
import sys
import os
from pathlib import Path
sys.path.insert(0, 'src')
from skill_seekers.cli.adaptors import get_adaptor
adaptor_name = os.environ['ADAPTOR_NAME']
adaptor = get_adaptor(adaptor_name)
package_path = adaptor.package(Path('test_skill'), Path('.'))
print(f"✅ Package created: {package_path}")
# Verify package exists
assert package_path.exists(), "Package file not created"
print(f"📦 Package size: {package_path.stat().st_size} bytes")
EOF
python3 -c "
import os
from pathlib import Path
from skill_seekers.cli.adaptors import get_adaptor
adaptor_name = os.environ['ADAPTOR_NAME']
adaptor = get_adaptor(adaptor_name)
package_path = adaptor.package(Path('test_skill'), Path('.'))
print(f'Package created: {package_path}')
assert package_path.exists(), 'Package file not created'
print(f'Package size: {package_path.stat().st_size} bytes')
"
- name: Upload test package
uses: actions/upload-artifact@v3

View File

@@ -106,16 +106,12 @@ jobs:
echo "🔹 Exporting to $target..."
# Use adaptor directly via CLI
python -c "
import sys
from pathlib import Path
sys.path.insert(0, 'src')
from skill_seekers.cli.adaptors import get_adaptor
adaptor = get_adaptor('$target')
package_path = adaptor.package(Path('$SKILL_DIR'), Path('output'))
print(f'✅ Exported to {package_path}')
python3 -c "
from pathlib import Path
from skill_seekers.cli.adaptors import get_adaptor
adaptor = get_adaptor('$target')
package_path = adaptor.package(Path('$SKILL_DIR'), Path('output'))
print(f'Exported to {package_path}')
"
if [ $? -eq 0 ]; then
@@ -133,21 +129,15 @@ print(f'✅ Exported to {package_path}')
if [ -d "$SKILL_DIR" ]; then
echo "📊 Generating quality metrics..."
python -c "
import sys
from pathlib import Path
sys.path.insert(0, 'src')
from skill_seekers.cli.quality_metrics import QualityAnalyzer
analyzer = QualityAnalyzer(Path('$SKILL_DIR'))
report = analyzer.generate_report()
formatted = analyzer.format_report(report)
print(formatted)
# Save to file
with open('quality_report_${SKILL_NAME}.txt', 'w') as f:
f.write(formatted)
python3 -c "
from pathlib import Path
from skill_seekers.cli.quality_metrics import QualityAnalyzer
analyzer = QualityAnalyzer(Path('$SKILL_DIR'))
report = analyzer.generate_report()
formatted = analyzer.format_report(report)
print(formatted)
with open('quality_report_${SKILL_NAME}.txt', 'w') as f:
f.write(formatted)
"
fi
continue-on-error: true