Files
esphome/tests/benchmarks/python/test_compiled_config_bench.py
J. Nick Koston 03f5e4775c [tests] Add CodSpeed benchmark for compiled-config cache fast path (#16402)
Co-authored-by: pre-commit-ci-lite[bot] <117423508+pre-commit-ci-lite[bot]@users.noreply.github.com>
2026-05-13 12:06:20 -05:00

117 lines
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Python

"""CodSpeed benchmarks for the validated-config cache fast path.
PR #16381 added a cache that lets ``esphome upload`` / ``esphome logs``
skip re-running the full config-validation pipeline. These benchmarks
compare the cached path (``load_compiled_config``) against the slow
path (``read_config``) on the same input.
The fixture YAML is a modest bluetooth-proxy device. The two paths
end up close on a config this small -- the win grows with config
complexity (external components, large package trees, deeply nested
schemas), where the slow path can be orders of magnitude slower than
the cache load.
Skipped when ``pytest-codspeed`` isn't installed so the regular
unit-test suite keeps working unchanged.
"""
from __future__ import annotations
from collections.abc import Callable
from pathlib import Path
import shutil
from typing import Any
import pytest
from esphome.compiled_config import compiled_config_path, load_compiled_config
from esphome.config import read_config
from esphome.core import CORE
from esphome.storage_json import ext_storage_path
from esphome.writer import update_storage_json
pytest.importorskip("pytest_codspeed")
HERE = Path(__file__).parent
FIXTURE_YAML = HERE / "fixtures" / "bluetooth_proxy_device.yaml"
def _stage_yaml(tmp_path: Path) -> Path:
"""Copy fixture YAML into a fresh tmp dir.
Each benchmark gets its own copy so the cache files (under
``.esphome/storage/`` next to the YAML) don't bleed between cases.
"""
target = tmp_path / FIXTURE_YAML.name
shutil.copy2(FIXTURE_YAML, target)
return target
def _prime_cache(yaml_path: Path) -> None:
"""Run full validation once and persist the cache + sidecar.
Mirrors ``esphome compile``: ``read_config`` populates ``CORE.config``,
then ``update_storage_json`` writes both the StorageJSON sidecar and
the ``.validated.yaml`` compiled-config cache.
"""
CORE.config_path = yaml_path
config = read_config({}, skip_external_update=True)
assert config is not None, f"fixture YAML failed to validate: {yaml_path}"
CORE.config = config
update_storage_json()
@pytest.fixture
def staged_yaml(tmp_path: Path) -> Path:
"""YAML copied into tmp_path; no cache files written yet."""
return _stage_yaml(tmp_path)
@pytest.fixture
def primed_yaml(staged_yaml: Path) -> Path:
"""YAML plus a fresh cache + sidecar on disk."""
_prime_cache(staged_yaml)
assert compiled_config_path(staged_yaml.name).is_file()
assert ext_storage_path(staged_yaml.name).is_file()
return staged_yaml
def _resetting_setup(
yaml_path: Path,
args: tuple[Any, ...],
kwargs: dict[str, Any],
) -> Callable[[], tuple[tuple[Any, ...], dict[str, Any]]]:
"""Build a per-iteration setup that resets CORE and re-pins config_path."""
def setup() -> tuple[tuple[Any, ...], dict[str, Any]]:
CORE.reset()
CORE.config_path = yaml_path
return args, kwargs
return setup
def test_load_compiled_config_cached(primed_yaml: Path, benchmark) -> None:
"""Fast path: deserialize the cached, already-validated config."""
benchmark.pedantic(
load_compiled_config,
setup=_resetting_setup(primed_yaml, (primed_yaml,), {}),
rounds=5,
iterations=1,
)
def test_read_config_uncached(primed_yaml: Path, benchmark) -> None:
"""Slow path: full validation pipeline (yaml load + schema + components).
Uses the same primed fixture as the cached path -- ``read_config``
ignores the cache file on disk, so the two benchmarks measure the
same input from two different code paths.
"""
benchmark.pedantic(
read_config,
setup=_resetting_setup(primed_yaml, ({},), {"skip_external_update": True}),
rounds=3,
iterations=1,
)