Set up CodSpeed continuous performance measurement

.github/workflows/codspeed.yml

@@ -2,7 +2,7 @@ name: CodSpeed
 
 # Continuous performance regression tracking for redis-om-python.
 #
-# Runs the benchmark suite under CodSpeed's walltime instrument on every
+# Runs the benchmark suite under CodSpeed's CPU simulation instrument on every
 # push to main and every pull request.  Results are uploaded to CodSpeed,
 # which compares them against the baseline and posts a comment on PRs when
 # a regression is detected.
@@ -69,5 +69,5 @@ jobs:
             - name: Run benchmarks
               uses: CodSpeedHQ/action@v4
               with:
-                  mode: walltime
+                  mode: simulation
                   run: uv run pytest tests/test_performance_benchmark.py --codspeed -v

README.md

@@ -20,6 +20,7 @@
 [![License][license-image]][license-url]
 [![Build Status][ci-svg]][ci-url]
 [![Codecov][codecov-svg]][codecov-url]
+[![CodSpeed](https://img.shields.io/endpoint?url=https://codspeed.io/badge.json)](https://app.codspeed.io/XChikuX/redis-om-python?utm_source=badge)
 
 **Redis OM Python** makes it easy to model Redis data in your Python applications.
 

tests/test_performance_benchmark.py

@@ -311,7 +311,10 @@ async def test_bench_hash_all_pks(hash_models):
     pks = [pk async for pk in await m.SimpleHash.all_pks(count=100)]
     elapsed = time.perf_counter() - start
     record_benchmark("hash_all_pks_count_100", elapsed, ops=len(pks))
-    assert len(pks) == 200
+    # CodSpeed re-runs the benchmark body multiple times against the same
+    # fixture, so records accumulate across invocations; assert at least the
+    # 200 saved by this run rather than an exact count.
+    assert len(pks) >= 200
 
 
 @py_test_mark_asyncio
@@ -620,7 +623,10 @@ async def test_bench_json_all_pks(json_models):
     pks = [pk async for pk in await m.SimpleJson.all_pks(count=100)]
     elapsed = time.perf_counter() - start
     record_benchmark("json_all_pks_count_100", elapsed, ops=len(pks))
-    assert len(pks) == 200
+    # CodSpeed re-runs the benchmark body multiple times against the same
+    # fixture, so records accumulate across invocations; assert at least the
+    # 200 saved by this run rather than an exact count.
+    assert len(pks) >= 200
 
 
 @py_test_mark_asyncio
@@ -921,7 +927,10 @@ async def test_bench_geo_json_large_radius(json_models):
     ).all()
     elapsed = time.perf_counter() - start
     record_benchmark("geo_json_5000km_us", elapsed, ops=len(results))
-    assert len(results) == 10
+    # A 5000km radius covers the whole US, so all 10 cities are returned.
+    # CodSpeed re-runs the body multiple times against the same fixture, so
+    # cities accumulate across invocations; assert at least the full set.
+    assert len(results) >= 10
 
 
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