1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
|
from typing import List, Mapping, Optional
from pydantic import BaseModel
from polyfactory.factories.pydantic_factory import ModelFactory
from polyfactory.field_meta import FieldMeta
class Address(BaseModel):
city: str
country: str
class Material(BaseModel):
name: str
origin: str
class Toy(BaseModel):
name: str
weight: float
materials: List[Material]
class Pet(BaseModel):
name: str
age: int
toys: List[Toy]
class Person(BaseModel):
name: str
age: int
pets: List[Pet]
address: Address
class PersonFactory(ModelFactory):
__model__ = Person
def test_factory_child_model_list() -> None:
data = {
"name": "Jean",
"pets": [
{
"name": "dog",
"toys": [
{
"name": "ball",
"materials": [{"name": "yarn"}, {"name": "plastic"}],
},
{
"name": "bone",
},
],
},
{
"name": "cat",
},
],
"address": {
"country": "France",
},
}
person = PersonFactory.build(factory_use_construct=False, **data)
assert person.name == "Jean"
assert len(person.pets) == 2
assert person.pets[0].name == "dog"
dog = person.pets[0]
assert len(dog.toys) == 2
dog_toys = dog.toys
assert dog_toys[0].name == "ball"
assert len(dog.toys[0].materials) == 2
assert dog.toys[0].materials[0].name == "yarn"
assert dog.toys[0].materials[1].name == "plastic"
assert len(dog.toys[1].materials) > 0
assert dog.toys[1].name == "bone"
assert person.pets[1].name == "cat"
assert person.address.country == "France"
def test_factory_child_pydantic_model() -> None:
"""Given a Pydantic Factory, When I build a model using the factory passing a Pydantic model as attribute, Then the
pydantic model is correctly built.
"""
address = Address(city="Paris", country="France")
person = PersonFactory.build(address=address)
assert person.address.city == "Paris"
assert person.address.country == "France"
def test_factory_child_none() -> None:
"""Given a Pydantic Factory, When I build a model using the factory passing None as attribute, Then the pydantic
model is correctly built.
"""
class PersonOptional(BaseModel):
name: str
address: Optional[Address]
class PersonOptionalFactory(ModelFactory):
__model__ = PersonOptional
person = PersonOptionalFactory.build(address=None)
assert person.address is None
def test_factory_with_partial_fields() -> None:
"""Given a Pydantic Model with nested Mapping field_meta, When I build the model using the factory passing only partial
attributes, Then the model is correctly built.
"""
class NestedSchema(BaseModel):
v: str
z: int
class UpperSchema(BaseModel):
a: int
b: Mapping[str, str]
nested: Mapping[str, NestedSchema]
class UpperSchemaFactory(ModelFactory):
__model__ = UpperSchema
nested = NestedSchema(v="hello", z=0)
some_dict = {"test": "fine"}
upper = UpperSchemaFactory.build(b=some_dict, nested={"nested_key": nested})
assert upper.b["test"] == "fine"
assert "nested_key" in upper.nested
assert upper.nested["nested_key"].v == nested.v
assert upper.nested["nested_key"].z == nested.z
def test_factory_with_nested_dict() -> None:
"""Given a Pydantic Model with nested Dict field_meta, When I build the model using the factory passing only partial
attributes, Then the model is correctly built.
"""
class NestedSchema(BaseModel):
z: int
class UpperSchema(BaseModel):
nested: Mapping[str, NestedSchema]
class UpperSchemaFactory(ModelFactory):
__model__ = UpperSchema
nested = NestedSchema(z=0)
upper = UpperSchemaFactory.build(nested={"nested_dict": nested})
assert "nested_dict" in upper.nested
assert upper.nested["nested_dict"].z == nested.z
def test_factory_with_partial_kwargs_deep_in_tree() -> None:
class A(BaseModel):
name: str
age: int
class B(BaseModel):
a: A
class C(BaseModel):
b: B
class D(BaseModel):
c: C
class DFactory(ModelFactory):
__model__ = D
build_result = DFactory.build(factory_use_construct=False, **{"c": {"b": {"a": {"name": "test"}}}})
assert build_result
assert build_result.c.b.a.name == "test"
def test_factory_with_nested_optional_field_overrides_in_dict() -> None:
class MyChildModel(BaseModel):
name: str
class MyParentModel(BaseModel):
child: Optional[MyChildModel]
class MyParentModelFactory(ModelFactory):
__model__ = MyParentModel
@classmethod
def should_set_none_value(cls, field_meta: FieldMeta) -> bool:
return True
result = MyParentModelFactory.build(child={"name": "test"})
assert result.child is not None
assert result.child.name == "test"
|
