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* test(e2e): perf datastore limits count what a request waits on, background Postgres and Redis work reported on its own postgres_calls_per_request and redis_calls_per_request were whole-server totals (pg_stat_database commits, Redis INFO commands), so spend flushes and config reloads moved them and a new per-request lookup could hide in the noise. They now count the statements and commands a request waits on before it is forwarded (auth and routing reads, the rate-limiter script), from pg_stat_statements read before and after the run and a Redis MONITOR connection held during it. Spend writes, daily aggregates, config reloads and cache invalidations are postgres_background_calls_per_request and redis_background_calls_per_request. The run output lists the top statements and commands per bucket, and the counters are read right after the run so the test's own spend sample is not counted * test(e2e): perf datastore reads only the runtime user's pg_stat_statements rows, other users' rows have a NULL queryid * test(e2e): perf Redis classifier strips the litellm.caching: namespace the deployed gateway puts on every key * test(e2e): small_bodies_5rps limits from ten split-metric runs (postgres awaited 1.8, redis awaited 18, postgres background 12.5), spend buffers and cron locks classified as background * test(e2e): small_bodies_5rps asserts only the awaited Postgres and Redis counts, background lines stay printed * test(e2e): perf Redis classifier puts the cron lock script's GET and DEL in background, not awaited --------- Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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| .. | ||
| corpus | ||
| mocks | ||
| __init__.py | ||
| datastore.py | ||
| locustfile.py | ||
| observe.py | ||
| performance_test_case.py | ||
| plan.py | ||
| podcpu.py | ||
| provision.py | ||
| run.py | ||
| wire.py | ||