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"""Tests for cattrs integration with attrs support in Advanced Alchemy services."""
from __future__ import annotations
import unittest.mock as mock
from typing import Optional
import pytest
from advanced_alchemy.service.typing import (
ATTRS_INSTALLED,
CATTRS_INSTALLED,
schema_dump,
)
# pyright: reportAttributeAccessIssue=false
pytestmark = [
pytest.mark.unit,
pytest.mark.skipif(not ATTRS_INSTALLED, reason="attrs not installed"),
]
if ATTRS_INSTALLED:
from attrs import define
@define
class SimpleAttrsModel:
"""Simple attrs model for testing."""
name: str
age: int
email: Optional[str] = None
class TestCattrsIntegration:
"""Test cattrs integration scenarios."""
@pytest.mark.skipif(not CATTRS_INSTALLED, reason="cattrs not installed")
def test_schema_dump_with_cattrs_enabled(self) -> None:
"""Test schema_dump uses cattrs when available."""
instance = SimpleAttrsModel(name="John", age=30, email="john@example.com")
result = schema_dump(instance)
assert isinstance(result, dict)
assert result["name"] == "John"
assert result["age"] == 30
assert result["email"] == "john@example.com"
def test_schema_dump_with_cattrs_disabled(self) -> None:
"""Test schema_dump falls back to attrs.asdict when cattrs is disabled."""
from advanced_alchemy.service import typing as service_typing
instance = SimpleAttrsModel(name="Jane", age=25)
# Mock CATTRS_INSTALLED to be False
with mock.patch.object(service_typing, "CATTRS_INSTALLED", False):
result = schema_dump(instance)
assert isinstance(result, dict)
assert result["name"] == "Jane"
assert result["age"] == 25
assert result["email"] is None
@pytest.mark.skipif(not CATTRS_INSTALLED, reason="cattrs not installed")
def test_to_schema_with_cattrs_priority(self) -> None:
"""Test that to_schema uses cattrs over attrs when both are available."""
from advanced_alchemy.service._util import ResultConverter
converter = ResultConverter()
data = {"name": "Alice", "age": 28, "email": "alice@example.com"}
result = converter.to_schema(data, schema_type=SimpleAttrsModel)
assert isinstance(result, SimpleAttrsModel)
assert result.name == "Alice"
assert result.age == 28
assert result.email == "alice@example.com"
def test_to_schema_attrs_fallback_when_cattrs_disabled(self) -> None:
"""Test that to_schema falls back to attrs when cattrs is disabled."""
from advanced_alchemy.service import _util
from advanced_alchemy.service import typing as service_typing
from advanced_alchemy.service._util import ResultConverter
converter = ResultConverter()
data = {"name": "Bob", "age": 35, "email": "bob@example.com"}
# Mock CATTRS_INSTALLED to be False in both modules
with (
mock.patch.object(service_typing, "CATTRS_INSTALLED", False),
mock.patch.object(_util, "CATTRS_INSTALLED", False),
):
result = converter.to_schema(data, schema_type=SimpleAttrsModel)
assert isinstance(result, SimpleAttrsModel)
assert result.name == "Bob"
assert result.age == 35
assert result.email == "bob@example.com"
def test_to_schema_sequence_with_cattrs_disabled(self) -> None:
"""Test that to_schema handles sequences correctly when cattrs is disabled."""
from advanced_alchemy.service import _util
from advanced_alchemy.service import typing as service_typing
from advanced_alchemy.service._util import ResultConverter
from advanced_alchemy.service.pagination import OffsetPagination
converter = ResultConverter()
data = [
{"name": "Charlie", "age": 40},
{"name": "Diana", "age": 45},
]
# Mock CATTRS_INSTALLED to be False in both modules
with (
mock.patch.object(service_typing, "CATTRS_INSTALLED", False),
mock.patch.object(_util, "CATTRS_INSTALLED", False),
):
result = converter.to_schema(data, schema_type=SimpleAttrsModel)
assert isinstance(result, OffsetPagination)
assert len(result.items) == 2
assert all(isinstance(item, SimpleAttrsModel) for item in result.items)
assert result.items[0].name == "Charlie"
assert result.items[1].name == "Diana"
@pytest.mark.skipif(not CATTRS_INSTALLED, reason="cattrs not installed")
def test_cattrs_structure_direct_usage(self) -> None:
"""Test direct usage of cattrs structure function."""
from advanced_alchemy.service.typing import structure
data = {"name": "Eve", "age": 33, "email": "eve@example.com"}
result = structure(data, SimpleAttrsModel)
assert isinstance(result, SimpleAttrsModel)
assert result.name == "Eve"
assert result.age == 33
assert result.email == "eve@example.com"
@pytest.mark.skipif(not CATTRS_INSTALLED, reason="cattrs not installed")
def test_cattrs_unstructure_direct_usage(self) -> None:
"""Test direct usage of cattrs unstructure function."""
from advanced_alchemy.service.typing import unstructure
instance = SimpleAttrsModel(name="Frank", age=28)
result = unstructure(instance)
assert isinstance(result, dict)
assert result["name"] == "Frank"
assert result["age"] == 28
assert result["email"] is None
def test_performance_with_cached_field_names(self) -> None:
"""Test that field name caching improves performance."""
from advanced_alchemy.service import _util
from advanced_alchemy.service import typing as service_typing
from advanced_alchemy.service._util import ResultConverter, _get_attrs_field_names
converter = ResultConverter()
# Clear cache to ensure we're testing caching behavior
_get_attrs_field_names.cache_clear()
# Mock CATTRS_INSTALLED in both modules to be False to use attrs path
with (
mock.patch.object(service_typing, "CATTRS_INSTALLED", False),
mock.patch.object(_util, "CATTRS_INSTALLED", False),
):
# First call should populate the cache
data1 = {"name": "Grace", "age": 30}
result1 = converter.to_schema(data1, schema_type=SimpleAttrsModel)
# Check cache info - should have 1 miss after first call
cache_info_after_first = _get_attrs_field_names.cache_info()
# Second call should use cached field names
data2 = {"name": "Henry", "age": 35}
result2 = converter.to_schema(data2, schema_type=SimpleAttrsModel)
# Check cache info - should have 1 hit now
cache_info_after_second = _get_attrs_field_names.cache_info()
assert isinstance(result1, SimpleAttrsModel)
assert isinstance(result2, SimpleAttrsModel)
assert result1.name == "Grace"
assert result2.name == "Henry"
# Verify caching is working - should have 1 miss and 1 hit
assert cache_info_after_first.misses == 1
assert cache_info_after_second.hits >= 1
assert cache_info_after_second.currsize >= 1
def test_integration_with_both_libraries_available(self) -> None:
"""Test behavior when both cattrs and attrs are available."""
if not CATTRS_INSTALLED:
pytest.skip("cattrs not available for this test")
from advanced_alchemy.service._util import ResultConverter
converter = ResultConverter()
data = {"name": "Ivy", "age": 29, "email": "ivy@example.com"}
# Should prefer cattrs path when both are available
result = converter.to_schema(data, schema_type=SimpleAttrsModel)
assert isinstance(result, SimpleAttrsModel)
assert result.name == "Ivy"
assert result.age == 29
assert result.email == "ivy@example.com"
def test_edge_case_missing_fields(self) -> None:
"""Test handling of missing fields in data."""
from advanced_alchemy.service import _util
from advanced_alchemy.service import typing as service_typing
from advanced_alchemy.service._util import ResultConverter
converter = ResultConverter()
# Data missing the 'age' field
data = {"name": "Jack"}
# Mock CATTRS_INSTALLED to be False in both modules to test attrs path
with (
mock.patch.object(service_typing, "CATTRS_INSTALLED", False),
mock.patch.object(_util, "CATTRS_INSTALLED", False),
):
# This should handle missing fields gracefully
with pytest.raises(TypeError): # attrs will complain about missing required field
converter.to_schema(data, schema_type=SimpleAttrsModel)
def test_extra_fields_filtered_out(self) -> None:
"""Test that extra fields not in attrs schema are filtered out."""
from advanced_alchemy.service import _util
from advanced_alchemy.service import typing as service_typing
from advanced_alchemy.service._util import ResultConverter
converter = ResultConverter()
# Data with extra field 'phone' not in SimpleAttrsModel
data = {"name": "Kate", "age": 32, "email": "kate@example.com", "phone": "123-456-7890"}
# Mock CATTRS_INSTALLED to be False in both modules to test attrs filtering path
with (
mock.patch.object(service_typing, "CATTRS_INSTALLED", False),
mock.patch.object(_util, "CATTRS_INSTALLED", False),
):
result = converter.to_schema(data, schema_type=SimpleAttrsModel)
assert isinstance(result, SimpleAttrsModel)
assert result.name == "Kate"
assert result.age == 32
assert result.email == "kate@example.com"
# Extra field should not cause issues
assert not hasattr(result, "phone")
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