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tests/experimental/pydantic_first_class/schema/test_mutation.py
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from typing import Dict, List, Union | ||
from graphql import is_valid_name_error | ||
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import pydantic | ||
import pytest | ||
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import strawberry | ||
from strawberry.experimental.pydantic._compat import IS_PYDANTIC_V2 | ||
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from strawberry.experimental.pydantic.pydantic_first_class import first_class | ||
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def test_mutation(): | ||
@first_class(is_input=True) | ||
class CreateUserInput(pydantic.BaseModel): | ||
name: pydantic.constr(min_length=2) | ||
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@first_class() | ||
class UserType(pydantic.BaseModel): | ||
name: str | ||
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@strawberry.type | ||
class Query: | ||
h: str | ||
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@strawberry.type | ||
class Mutation: | ||
@strawberry.mutation | ||
def create_user(self, input: CreateUserInput) -> UserType: | ||
return UserType(name=input.name) | ||
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schema = strawberry.Schema(query=Query, mutation=Mutation) | ||
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query = """ | ||
mutation { | ||
createUser(input: { name: "Patrick" }) { | ||
name | ||
} | ||
} | ||
""" | ||
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result = schema.execute_sync(query) | ||
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assert not result.errors | ||
assert result.data["createUser"]["name"] == "Patrick" | ||
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def test_mutation_with_validation(): | ||
@first_class(is_input=True) | ||
class CreateUserInput(pydantic.BaseModel): | ||
name: pydantic.constr(min_length=2) | ||
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@first_class() | ||
class UserType(pydantic.BaseModel): | ||
name: str | ||
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@strawberry.type | ||
class Query: | ||
h: str | ||
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@strawberry.type | ||
class Mutation: | ||
@strawberry.mutation | ||
def create_user(self, input: CreateUserInput) -> UserType: | ||
return UserType(name=input.name) | ||
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schema = strawberry.Schema(query=Query, mutation=Mutation) | ||
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query = """ | ||
mutation { | ||
createUser(input: { name: "P" }) { | ||
name | ||
} | ||
} | ||
""" | ||
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result = schema.execute_sync(query) | ||
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if IS_PYDANTIC_V2: | ||
assert result.errors[0].message == ( | ||
"1 validation error for CreateUserInput\n" | ||
"name\n" | ||
" String should have at least 2 characters [type=string_too_short, " | ||
"input_value='P', input_type=str]\n" | ||
" For further information visit " | ||
"https://errors.pydantic.dev/2.0.3/v/string_too_short" | ||
) | ||
else: | ||
assert result.errors[0].message == ( | ||
"1 validation error for CreateUserInput\nname\n ensure this value has at " | ||
"least 2 characters (type=value_error.any_str.min_length; limit_value=2)" | ||
) | ||
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def test_mutation_with_validation_of_nested_model(): | ||
@first_class(is_input=True) | ||
class HobbyInput(pydantic.BaseModel): | ||
name: pydantic.constr(min_length=2) | ||
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@first_class(is_input=True) | ||
class CreateUserInput(pydantic.BaseModel): | ||
hobby: HobbyInput | ||
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class UserModel(pydantic.BaseModel): | ||
name: str | ||
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@strawberry.experimental.pydantic.type(UserModel) | ||
class UserType: | ||
name: strawberry.auto | ||
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@strawberry.type | ||
class Query: | ||
h: str | ||
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@strawberry.type | ||
class Mutation: | ||
@strawberry.mutation | ||
def create_user(self, input: CreateUserInput) -> UserType: | ||
return UserType(name=input.hobby.name) | ||
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schema = strawberry.Schema(query=Query, mutation=Mutation) | ||
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query = """ | ||
mutation { | ||
createUser(input: { hobby: { name: "P" } }) { | ||
name | ||
} | ||
} | ||
""" | ||
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result = schema.execute_sync(query) | ||
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if IS_PYDANTIC_V2: | ||
assert result.errors[0].message == ( | ||
"1 validation error for HobbyInput\n" | ||
"name\n" | ||
" String should have at least 2 characters [type=string_too_short, " | ||
"input_value='P', input_type=str]\n" | ||
" For further information visit " | ||
"https://errors.pydantic.dev/2.0.3/v/string_too_short" | ||
) | ||
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else: | ||
assert result.errors[0].message == ( | ||
"1 validation error for HobbyInput\nname\n" | ||
" ensure this value has at least 2 characters " | ||
"(type=value_error.any_str.min_length; limit_value=2)" | ||
) | ||
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@pytest.mark.xfail( | ||
reason="""No way to manually handle errors | ||
the validation goes boom in convert_argument, not in the create_user resolver""" | ||
) | ||
def test_mutation_with_validation_and_error_type(): | ||
@first_class(is_input=True) | ||
class CreateUserInput(pydantic.BaseModel): | ||
name: pydantic.constr(min_length=2) | ||
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@first_class() | ||
class UserType(pydantic.BaseModel): | ||
name: str | ||
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@first_class() | ||
class UserError(pydantic.BaseModel): | ||
name: str | ||
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@strawberry.type | ||
class Query: | ||
h: str | ||
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@strawberry.type | ||
class Mutation: | ||
@strawberry.mutation | ||
def create_user(self, input: CreateUserInput) -> Union[UserType, UserError]: | ||
try: | ||
data = input | ||
except pydantic.ValidationError as e: | ||
args: Dict[str, List[str]] = {} | ||
for error in e.errors(): | ||
field = error["loc"][0] # currently doesn't support nested errors | ||
field_errors = args.get(field, []) | ||
field_errors.append(error["msg"]) | ||
args[field] = field_errors | ||
return UserError(**args) | ||
else: | ||
return UserType(name=data.name) | ||
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schema = strawberry.Schema(query=Query, mutation=Mutation) | ||
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query = """ | ||
mutation { | ||
createUser(input: { name: "P" }) { | ||
... on UserType { | ||
name | ||
} | ||
... on UserError { | ||
nameErrors: name | ||
} | ||
} | ||
} | ||
""" | ||
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result = schema.execute_sync(query) | ||
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assert result.errors is None | ||
assert result.data["createUser"].get("name") is None | ||
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if IS_PYDANTIC_V2: | ||
assert result.data["createUser"]["nameErrors"] == [ | ||
("String should have at least 2 characters") | ||
] | ||
else: | ||
assert result.data["createUser"]["nameErrors"] == [ | ||
("ensure this value has at least 2 characters") | ||
] |