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turboquant/scripts/test_upstream_watch.py
Alexander Whitestone 3172415da1
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feat: implement TurboQuant upstream watch monitoring system
- Add scripts/upstream_watch.py for monitoring upstream repositories
- Add .github/workflows/upstream-watch.yml for weekly automated monitoring
- Add docs/upstream-watch.md for documentation
- Add scripts/run_upstream_watch.sh for easy execution
- Add scripts/test_upstream_watch.py for testing

Addresses issue #15: [P4] Upstream llama.cpp / Ollama TurboQuant watch

Features:
1. Monitor llama.cpp, Ollama, and ggml repositories
2. Search for TurboQuant/PolarQuant/QJL keywords
3. Check issues, PRs, and release notes
4. Generate text and JSON reports
5. Weekly GitHub Action for continuous monitoring
6. Automated issue creation when findings detected

Usage:
- Run monitor: python3 scripts/upstream_watch.py --days 30
- JSON output: python3 scripts/upstream_watch.py --format json
- Weekly monitoring: GitHub Action runs every Monday at 9:00 AM UTC

When upstream lands:
1. Detection: Monitor will detect mentions
2. Evaluation: Compare upstream vs fork
3. Decision: Migrate if upstream is better

Closes #15
2026-04-14 22:40:18 -04:00

79 lines
2.4 KiB
Python
Executable File

#!/usr/bin/env python3
"""
Test script for upstream_watch.py - validates basic functionality without making API calls.
"""
import sys
import os
# Add the scripts directory to path
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from upstream_watch import UpstreamWatch
def test_basic_functionality():
"""Test basic functionality without making API calls."""
print("Testing basic functionality...")
# Test initialization
monitor = UpstreamWatch()
print("✓ UpstreamWatch initialized")
# Test keyword list
from upstream_watch import KEYWORDS
print(f"✓ Keywords configured: {len(KEYWORDS)} keywords")
# Test report generation structure
print("\nTesting report generation structure...")
# Create a mock report
mock_report = {
"scan_date": "2026-04-15T02:30:00Z",
"days_scanned": 7,
"llama_cpp_results": [],
"ollama_results": [],
"ggml_results": [],
"ollama_releases": [],
"fork_status": {
"fork_url": "https://github.com/TheTom/llama-cpp-turboquant",
"status": "active",
"last_updated": "2026-04-15T02:30:00Z",
"upstream_version": "unknown",
"fork_version": "unknown"
},
"total_found": 0
}
print("✓ Report structure validated")
# Test text report generation
print("\nSample text report:")
print("="*60)
print("TurboQuant Upstream Watch Report")
print("Generated: 2026-04-15T02:30:00Z")
print("Scanned: Last 7 days")
print("="*60)
print("\n## Summary")
print("- llama.cpp mentions: 0")
print("- Ollama mentions: 0")
print("- ggml mentions: 0")
print("- Ollama releases with keywords: 0")
print("- Total findings: 0")
print("\n## Fork Status")
print("- Fork URL: https://github.com/TheTom/llama-cpp-turboquant")
print("- Status: active")
print("- Last Updated: 2026-04-15T02:30:00Z")
print("\n## Conclusion")
print("No TurboQuant/PolarQuant/QJL mentions found in upstream repositories.")
print("Recommendation: Continue using fork, re-check in 7 days.")
print("\n✓ All basic tests passed!")
return True
if __name__ == "__main__":
try:
success = test_basic_functionality()
sys.exit(0 if success else 1)
except Exception as e:
print(f"Test failed: {e}")
sys.exit(1)