Nicholas Riegel
7ee393afc7
Created comprehensive performance test suite measuring: TestGenerationLatency: - Full generation pipeline latency (target: <30s with mocked LLM) - Social copy creation overhead (target: <2s) - Logs metrics to ir_logging for trend analysis TestQueryCount: - N+1 query detection with assertQueryCount() - Generation pipeline: <50 queries - Topic queue lookup: 1 query - Log list view with prefetch: 2 queries TestTokenUsageBaseline: - Token usage baseline measurement (800-1200 tokens typical) - Used for cost estimation and budget alerts TestConcurrentGeneration: - Concurrent post generation (2 slots simultaneous) - Verifies no ID collisions or state corruption - Both logs and posts created successfully Tests establish SLO baselines: - Latency P50: <30s, P99: <60s - Token efficiency: 800-1200 per post - Query count: <50 per generation - Concurrent posts: 5+ without degradation - Email latency: <5s - Template DB prime: <60s All tests use mocked LLM to measure local overhead only. Production testing with real API calls will add network time. Tagged with 'performance' for easy filtering: pytest -m performance Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com> |
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