"""Auto-generated example: Regression detection — default method over time."""
from datetime import datetime, timedelta
import bencher as bn
class ServerBenchmark(bn.ParametrizedSweep):
"""A server benchmark whose response time degrades over successive releases."""
connections = bn.FloatSweep(default=50, bounds=[10, 200], doc="Concurrent clients")
payload_kb = bn.FloatSweep(default=64, bounds=[1, 256], doc="Request payload size in KB")
response_time = bn.ResultFloat(units="ms", direction=bn.OptDir.minimize)
throughput = bn.ResultFloat(units="req/s", direction=bn.OptDir.maximize)
_time_offset = 0.0 # set externally per snapshot
def benchmark(self):
base_rt = 5.0 + 0.15 * self.connections + 0.08 * self.payload_kb
leak = 1.0 + self._time_offset * 0.12 # memory leak grows per release
self.response_time = base_rt * leak
self.throughput = 1000.0 / self.response_time
def example_regression_percentage(run_cfg: bn.BenchRunCfg | None = None) -> bn.Bench:
"""Regression detection — default method over time."""
run_cfg = bn.BenchRunCfg.with_defaults(run_cfg, repeats=2)
run_cfg.regression_detection = True
run_cfg.regression_fail = False
benchable = ServerBenchmark()
bench = benchable.to_bench(run_cfg)
# Simulate 7 server releases: stable at first, then a memory leak kicks in
releases = [0.0, 0.1, 0.0, 0.5, 1.5, 3.0, 5.0]
base_time = datetime(2024, 1, 1)
for i, offset in enumerate(releases):
benchable._time_offset = offset
run_cfg.clear_cache = True
run_cfg.clear_history = i == 0
run_cfg.auto_plot = i == len(releases) - 1
bench.plot_sweep(
"regression_detection",
input_vars=["connections", "payload_kb"],
result_vars=["response_time", "throughput"],
run_cfg=run_cfg,
time_src=base_time + timedelta(seconds=i),
aggregate=True,
)
return bench
if __name__ == "__main__":
bn.run(example_regression_percentage, over_time=True)