From ca294ed5cd358c8ddd3538f5733d1f3caa6a6713 Mon Sep 17 00:00:00 2001 From: Claude Date: Sun, 26 Oct 2025 07:37:47 +0000 Subject: [PATCH] Add comprehensive benchmark tests for SerializationProxy overhead MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This commit adds extensive benchmark tests using pytest-benchmark to measure the performance overhead introduced by SerializationProxy across various operations: - Proxy creation overhead for BaseModel, dataclass, and nested structures - Attribute access overhead (single and nested) - Iteration overhead for collections - Serialization operations via proxy's built-in serializer - Custom field serializer overhead - Memory access patterns (repeated vs different attributes) - String representation (__str__ and __repr__) - End-to-end workflow scenarios Each benchmark includes a corresponding baseline test (direct operations without proxy) to measure the actual overhead introduced by the proxy layer. The benchmarks cover: - Simple and nested BaseModel instances - Simple and nested dataclass instances - Models with custom field serializers - Dictionary and list comparisons Dependencies: - Added pytest-benchmark>=5.1.0 to dev dependencies All 33 benchmark tests pass successfully. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude --- pyproject.toml | 1 + tests/__init__.py | 1 + tests/test_benchmark_serialization_proxy.py | 441 ++++++++++++++++++++ uv.lock | 212 ++++++---- 4 files changed, 574 insertions(+), 81 deletions(-) create mode 100644 tests/__init__.py create mode 100644 tests/test_benchmark_serialization_proxy.py diff --git a/pyproject.toml b/pyproject.toml index b724990..6a6119a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15,6 +15,7 @@ dependencies = [ [dependency-groups] dev = [ "pytest>=8.3.4", + "pytest-benchmark>=5.1.0", ] [build-system] diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..d4839a6 --- /dev/null +++ b/tests/__init__.py @@ -0,0 +1 @@ +# Tests package diff --git a/tests/test_benchmark_serialization_proxy.py b/tests/test_benchmark_serialization_proxy.py new file mode 100644 index 0000000..b589b9f --- /dev/null +++ b/tests/test_benchmark_serialization_proxy.py @@ -0,0 +1,441 @@ +""" +Benchmark tests for SerializationProxy overhead measurement. + +These benchmarks compare the performance of SerializationProxy operations +against their direct equivalents to measure the overhead introduced by +the proxy layer. +""" + +from dataclasses import dataclass +from typing import Any + +import pytest +from pydantic import BaseModel, Field, TypeAdapter, field_serializer + +from deigma.proxy import SerializationProxy + + +# Test models for benchmarks +class SimpleModel(BaseModel): + """Simple BaseModel with basic fields.""" + + id: int + name: str + value: float + + +class NestedModel(BaseModel): + """BaseModel with nested structure.""" + + id: int + data: SimpleModel + items: list[SimpleModel] + + +class ModelWithSerializer(BaseModel): + """Model with custom field serializer.""" + + name: str + value: int + + @field_serializer("name") + def serialize_name(self, value: str) -> str: + return value.upper() + + +@dataclass +class SimpleDataclass: + """Simple dataclass for testing.""" + + id: int + name: str + value: float + + +@dataclass +class NestedDataclass: + """Dataclass with nested structure.""" + + id: int + data: SimpleDataclass + items: list[SimpleDataclass] + + +# Fixtures for test data +@pytest.fixture +def simple_model(): + """Create a simple BaseModel instance.""" + return SimpleModel(id=1, name="test", value=3.14) + + +@pytest.fixture +def nested_model(): + """Create a nested BaseModel instance.""" + return NestedModel( + id=1, + data=SimpleModel(id=2, name="nested", value=2.71), + items=[ + SimpleModel(id=i, name=f"item_{i}", value=float(i)) for i in range(10) + ], + ) + + +@pytest.fixture +def model_with_serializer(): + """Create a model with custom serializer.""" + return ModelWithSerializer(name="test", value=42) + + +@pytest.fixture +def simple_dataclass(): + """Create a simple dataclass instance.""" + return SimpleDataclass(id=1, name="test", value=3.14) + + +@pytest.fixture +def nested_dataclass(): + """Create a nested dataclass instance.""" + return NestedDataclass( + id=1, + data=SimpleDataclass(id=2, name="nested", value=2.71), + items=[ + SimpleDataclass(id=i, name=f"item_{i}", value=float(i)) for i in range(10) + ], + ) + + +@pytest.fixture +def simple_dict(): + """Create a simple dict for comparison.""" + return {"id": 1, "name": "test", "value": 3.14} + + +@pytest.fixture +def simple_list(): + """Create a simple list for comparison.""" + return [SimpleModel(id=i, name=f"item_{i}", value=float(i)) for i in range(100)] + + +# Benchmark: Proxy Creation Overhead +class TestProxyCreation: + """Benchmarks for measuring proxy creation overhead.""" + + def test_benchmark_build_simple_model(self, benchmark, simple_model): + """Benchmark building a proxy for a simple BaseModel.""" + benchmark(SerializationProxy.build, simple_model) + + def test_benchmark_build_nested_model(self, benchmark, nested_model): + """Benchmark building a proxy for a nested BaseModel.""" + benchmark(SerializationProxy.build, nested_model) + + def test_benchmark_build_simple_dataclass(self, benchmark, simple_dataclass): + """Benchmark building a proxy for a simple dataclass.""" + benchmark(SerializationProxy.build, simple_dataclass) + + def test_benchmark_build_nested_dataclass(self, benchmark, nested_dataclass): + """Benchmark building a proxy for a nested dataclass.""" + benchmark(SerializationProxy.build, nested_dataclass) + + def test_benchmark_build_with_serializer(self, benchmark, model_with_serializer): + """Benchmark building a proxy for a model with custom serializer.""" + benchmark(SerializationProxy.build, model_with_serializer) + + def test_benchmark_build_vs_typeadapter_dump(self, benchmark, simple_model): + """Compare proxy build time with direct TypeAdapter.dump_python.""" + + def direct_serialize(): + adapter = TypeAdapter(type(simple_model)) + return adapter.dump_python(simple_model) + + # This benchmark measures the baseline serialization time + benchmark(direct_serialize) + + +# Benchmark: Attribute Access Overhead +class TestAttributeAccess: + """Benchmarks for measuring attribute access overhead.""" + + def test_benchmark_proxy_getattr(self, benchmark, simple_model): + """Benchmark attribute access through proxy.""" + proxy = SerializationProxy.build(simple_model) + + def access_attrs(): + _ = proxy.id + _ = proxy.name + _ = proxy.value + + benchmark(access_attrs) + + def test_benchmark_direct_getattr(self, benchmark, simple_model): + """Benchmark direct attribute access (baseline).""" + + def access_attrs(): + _ = simple_model.id + _ = simple_model.name + _ = simple_model.value + + benchmark(access_attrs) + + def test_benchmark_dict_getitem(self, benchmark, simple_dict): + """Benchmark dict item access (baseline comparison).""" + + def access_items(): + _ = simple_dict["id"] + _ = simple_dict["name"] + _ = simple_dict["value"] + + benchmark(access_items) + + def test_benchmark_proxy_nested_access(self, benchmark, nested_model): + """Benchmark nested attribute access through proxy.""" + proxy = SerializationProxy.build(nested_model) + + def access_nested(): + _ = proxy.data.name + _ = proxy.data.value + _ = proxy.items[0].name + + benchmark(access_nested) + + def test_benchmark_direct_nested_access(self, benchmark, nested_model): + """Benchmark direct nested attribute access (baseline).""" + + def access_nested(): + _ = nested_model.data.name + _ = nested_model.data.value + _ = nested_model.items[0].name + + benchmark(access_nested) + + +# Benchmark: Iteration Overhead +class TestIteration: + """Benchmarks for measuring iteration overhead.""" + + def test_benchmark_proxy_iteration(self, benchmark, simple_list): + """Benchmark iteration over a list through proxy.""" + proxy = SerializationProxy.build(simple_list) + + def iterate(): + count = 0 + for _ in proxy: + count += 1 + return count + + benchmark(iterate) + + def test_benchmark_direct_iteration(self, benchmark, simple_list): + """Benchmark direct iteration over a list (baseline).""" + + def iterate(): + count = 0 + for _ in simple_list: + count += 1 + return count + + benchmark(iterate) + + def test_benchmark_proxy_len(self, benchmark, simple_list): + """Benchmark len() operation on proxy.""" + proxy = SerializationProxy.build(simple_list) + benchmark(len, proxy) + + def test_benchmark_direct_len(self, benchmark, simple_list): + """Benchmark len() operation on direct object (baseline).""" + benchmark(len, simple_list) + + def test_benchmark_proxy_bool(self, benchmark, simple_model): + """Benchmark bool() operation on proxy.""" + proxy = SerializationProxy.build(simple_model) + benchmark(bool, proxy) + + def test_benchmark_direct_bool(self, benchmark, simple_model): + """Benchmark bool() operation on direct object (baseline).""" + benchmark(bool, simple_model) + + +# Benchmark: Serialization Operations +class TestSerialization: + """Benchmarks for measuring serialization overhead with proxy.""" + + def test_benchmark_proxy_to_python(self, benchmark, simple_model): + """Benchmark serializing a proxy to Python dict.""" + proxy = SerializationProxy.build(simple_model) + + def serialize(): + # Use the proxy's built-in serializer + return proxy.__pydantic_serializer__.to_python(proxy) + + benchmark(serialize) + + def test_benchmark_direct_to_python(self, benchmark, simple_model): + """Benchmark direct serialization to Python dict (baseline).""" + adapter = TypeAdapter(SimpleModel) + + def serialize(): + return adapter.dump_python(simple_model) + + benchmark(serialize) + + def test_benchmark_proxy_nested_serialization(self, benchmark, nested_model): + """Benchmark serializing a nested proxy to Python.""" + proxy = SerializationProxy.build(nested_model) + + def serialize(): + # Use the proxy's built-in serializer + return proxy.__pydantic_serializer__.to_python(proxy) + + benchmark(serialize) + + def test_benchmark_direct_nested_serialization(self, benchmark, nested_model): + """Benchmark direct serialization of nested model (baseline).""" + adapter = TypeAdapter(NestedModel) + + def serialize(): + return adapter.dump_python(nested_model) + + benchmark(serialize) + + +# Benchmark: Custom Serializer Overhead +class TestCustomSerializers: + """Benchmarks for measuring overhead with custom field serializers.""" + + def test_benchmark_proxy_custom_serializer(self, benchmark, model_with_serializer): + """Benchmark proxy with custom field serializer.""" + proxy = SerializationProxy.build(model_with_serializer) + + def access_and_serialize(): + _ = proxy.name # Should apply the serializer + # Use the proxy's built-in serializer + return proxy.__pydantic_serializer__.to_python(proxy) + + benchmark(access_and_serialize) + + def test_benchmark_direct_custom_serializer( + self, benchmark, model_with_serializer + ): + """Benchmark direct access with custom field serializer (baseline).""" + adapter = TypeAdapter(ModelWithSerializer) + + def access_and_serialize(): + _ = model_with_serializer.name + return adapter.dump_python(model_with_serializer) + + benchmark(access_and_serialize) + + +# Benchmark: Memory Access Patterns +class TestMemoryAccess: + """Benchmarks for measuring repeated access patterns.""" + + def test_benchmark_proxy_repeated_access(self, benchmark, simple_model): + """Benchmark repeated access to the same attribute through proxy.""" + proxy = SerializationProxy.build(simple_model) + + def repeated_access(): + for _ in range(100): + _ = proxy.name + + benchmark(repeated_access) + + def test_benchmark_direct_repeated_access(self, benchmark, simple_model): + """Benchmark repeated direct access to the same attribute (baseline).""" + + def repeated_access(): + for _ in range(100): + _ = simple_model.name + + benchmark(repeated_access) + + def test_benchmark_proxy_different_attrs(self, benchmark, simple_model): + """Benchmark accessing different attributes through proxy.""" + proxy = SerializationProxy.build(simple_model) + + def different_attrs(): + for _ in range(30): + _ = proxy.id + _ = proxy.name + _ = proxy.value + + benchmark(different_attrs) + + def test_benchmark_direct_different_attrs(self, benchmark, simple_model): + """Benchmark accessing different attributes directly (baseline).""" + + def different_attrs(): + for _ in range(30): + _ = simple_model.id + _ = simple_model.name + _ = simple_model.value + + benchmark(different_attrs) + + +# Benchmark: String Representation +class TestStringRepresentation: + """Benchmarks for measuring __str__ and __repr__ overhead.""" + + def test_benchmark_proxy_str(self, benchmark, simple_model): + """Benchmark str() on proxy.""" + proxy = SerializationProxy.build(simple_model) + benchmark(str, proxy) + + def test_benchmark_direct_str(self, benchmark, simple_model): + """Benchmark str() on direct object (baseline).""" + benchmark(str, simple_model) + + def test_benchmark_proxy_repr(self, benchmark, simple_model): + """Benchmark repr() on proxy.""" + proxy = SerializationProxy.build(simple_model) + benchmark(repr, proxy) + + def test_benchmark_direct_repr(self, benchmark, simple_model): + """Benchmark repr() on direct object (baseline).""" + benchmark(repr, simple_model) + + +# Benchmark: End-to-End Scenarios +class TestEndToEnd: + """Benchmarks for realistic end-to-end usage scenarios.""" + + def test_benchmark_proxy_complete_workflow(self, benchmark, nested_model): + """Benchmark complete workflow: build proxy, access fields, serialize.""" + + def complete_workflow(): + # Build proxy + proxy = SerializationProxy.build(nested_model) + # Access various fields + _ = proxy.id + _ = proxy.data.name + items_len = len(proxy.items) + # Iterate - items are serialized as dicts when iterated + count = 0 + for item in proxy.items: + count += 1 + if count >= 5: # Just sample a few to test iteration + break + # Serialize using the proxy's built-in serializer + return proxy.__pydantic_serializer__.to_python(proxy) + + benchmark(complete_workflow) + + def test_benchmark_direct_complete_workflow(self, benchmark, nested_model): + """Benchmark complete workflow without proxy (baseline).""" + + def complete_workflow(): + # Direct access + _ = nested_model.id + _ = nested_model.data.name + items_len = len(nested_model.items) + # Iterate + count = 0 + for item in nested_model.items: + count += 1 + if count >= 5: # Just sample a few to test iteration + break + # Serialize + adapter = TypeAdapter(NestedModel) + return adapter.dump_python(nested_model) + + benchmark(complete_workflow) diff --git a/uv.lock b/uv.lock index 1d91d05..b960593 100644 --- a/uv.lock +++ b/uv.lock @@ -1,23 +1,23 @@ version = 1 -revision = 1 -requires-python = ">=3.12" +revision = 3 +requires-python = 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