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"""Tests for Pydantic v1 BaseModel generation."""
from __future__ import annotations
from typing import Any
import pytest
from datamodel_code_generator.model.pydantic import DataTypeManager
from datamodel_code_generator.model.pydantic.base_model import BaseModel, DataModelField
from datamodel_code_generator.reference import Reference
from datamodel_code_generator.types import DataType, Types
def test_base_model() -> None:
"""Test basic BaseModel generation with required field."""
field = DataModelField(name="a", data_type=DataType(type="str"), required=True)
base_model = BaseModel(
fields=[field],
reference=Reference(name="test_model", path="test_model"),
)
assert base_model.name == "test_model"
assert base_model.fields == [field]
assert base_model.decorators == []
assert base_model.render() == "class test_model(BaseModel):\n a: str"
def test_base_model_optional() -> None:
"""Test BaseModel generation with optional field and default value."""
field = DataModelField(name="a", data_type=DataType(type="str"), default="abc", required=False)
base_model = BaseModel(
fields=[field],
reference=Reference(name="test_model", path="test_model"),
)
assert base_model.name == "test_model"
assert base_model.fields == [field]
assert base_model.decorators == []
assert base_model.render() == "class test_model(BaseModel):\n a: Optional[str] = 'abc'"
def test_base_model_nullable_required() -> None:
"""Test BaseModel generation with nullable required field."""
field = DataModelField(
name="a",
data_type=DataType(type="str"),
default="abc",
required=True,
nullable=True,
)
base_model = BaseModel(
fields=[field],
reference=Reference(name="test_model", path="test_model"),
)
assert base_model.name == "test_model"
assert base_model.fields == [field]
assert base_model.decorators == []
assert base_model.render() == "class test_model(BaseModel):\n a: Optional[str] = Field(...)"
def test_base_model_strict_non_nullable_required() -> None:
"""Test BaseModel generation with strict non-nullable required field."""
field = DataModelField(
name="a",
data_type=DataType(type="str"),
default="abc",
required=True,
nullable=False,
)
base_model = BaseModel(
fields=[field],
reference=Reference(name="test_model", path="test_model"),
)
assert base_model.name == "test_model"
assert base_model.fields == [field]
assert base_model.decorators == []
assert base_model.render() == "class test_model(BaseModel):\n a: str"
def test_base_model_decorator() -> None:
"""Test BaseModel generation with decorators and base classes."""
field = DataModelField(name="a", data_type=DataType(type="str"), default="abc", required=False)
base_model = BaseModel(
fields=[field],
decorators=["@validate"],
base_classes=[Reference(name="Base", original_name="Base", path="Base")],
reference=Reference(name="test_model", path="test_model"),
)
assert base_model.name == "test_model"
assert base_model.fields == [field]
assert base_model.base_class == "Base"
assert base_model.decorators == ["@validate"]
assert base_model.render() == "@validate\nclass test_model(Base):\n a: Optional[str] = 'abc'"
def test_base_model_get_data_type() -> None:
"""Test data type retrieval for BaseModel fields."""
data_type_manager = DataTypeManager()
assert data_type_manager.get_data_type(Types.integer) == data_type_manager.data_type(type="int")
@pytest.mark.parametrize(
("kwargs", "expected"),
[
({"required": True}, None),
({"required": True, "example": "example"}, None),
({"example": "example"}, None),
(
{"required": True, "default": 123, "example": "example"},
None,
),
(
{"required": False, "default": 123, "example": "example"},
None,
),
({"description": "description"}, None),
({"title": "title"}, None),
({"alias": "alias"}, "Field(None, alias='alias')"),
({"example": True}, None),
({"examples": True}, None),
(
{
"example": True,
"description": "description",
"title": "title",
"alias": "alias",
},
"Field(None, alias='alias')",
),
({"examples": [1, 2, 3]}, None),
(
{"examples": {"name": "dog", "age": 1}},
None,
),
({"default": "abc", "title": "title"}, None),
({"default": 123, "title": "title"}, None),
],
)
def test_data_model_field(kwargs: dict[str, Any], expected: str | None) -> None:
"""Test DataModelField generation with various field attributes."""
assert DataModelField(**kwargs, data_type=DataType()).field == expected
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