0xWheatyz
44456cb073
Implements a database mode that stores LLM prompts and responses in PostgreSQL instead of making API calls. This enables: - Testing without consuming API credits - Collecting analytics on usage patterns - Development and debugging workflows Changes: - Added DatabaseClient class for PostgreSQL operations - Modified LLMAnalyzer to support database/API mode toggle - Added USE_DATABASE config flag to switch between modes - Included Docker Compose setup for PostgreSQL - Added utility scripts for database init and analytics viewing - Comprehensive documentation in DATABASE_MODE.md 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
68 lines
1.8 KiB
Python
68 lines
1.8 KiB
Python
#!/usr/bin/env python3
|
|
"""View analytics from the message database.
|
|
|
|
This script displays statistics about stored LLM messages including
|
|
usage by company, analysis type, and time periods.
|
|
|
|
Usage:
|
|
python scripts/view_analytics.py [--days DAYS]
|
|
"""
|
|
|
|
import sys
|
|
import os
|
|
import argparse
|
|
import json
|
|
|
|
# Add parent directory to path
|
|
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
|
|
|
from SPARC import config
|
|
from SPARC.database import DatabaseClient
|
|
|
|
|
|
def main():
|
|
"""Display analytics from the database."""
|
|
parser = argparse.ArgumentParser(description="View SPARC message analytics")
|
|
parser.add_argument(
|
|
"--days",
|
|
type=int,
|
|
default=30,
|
|
help="Number of days to analyze (default: 30)"
|
|
)
|
|
args = parser.parse_args()
|
|
|
|
print(f"SPARC Analytics - Last {args.days} days")
|
|
print("=" * 70)
|
|
|
|
try:
|
|
db_client = DatabaseClient(config.database_url)
|
|
analytics = db_client.get_analytics(days=args.days)
|
|
|
|
print(f"\nTotal Messages: {analytics['total_messages']}")
|
|
|
|
print("\nMessages by Company:")
|
|
if analytics['by_company']:
|
|
for item in analytics['by_company']:
|
|
company = item['company_name'] or '(unknown)'
|
|
print(f" {company}: {item['count']}")
|
|
else:
|
|
print(" No data")
|
|
|
|
print("\nMessages by Analysis Type:")
|
|
if analytics['by_type']:
|
|
for item in analytics['by_type']:
|
|
analysis_type = item['analysis_type'] or '(unknown)'
|
|
print(f" {analysis_type}: {item['count']}")
|
|
else:
|
|
print(" No data")
|
|
|
|
print("\n" + "=" * 70)
|
|
|
|
except Exception as e:
|
|
print(f"Error retrieving analytics: {e}")
|
|
sys.exit(1)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|