def test_when_input_object_variable_is_missing_field_then_error_is_raised():
Input = g.InputObjectType(
"Input",
fields=lambda: (
g.input_field("field", type=g.Int),
),
)
Root = g.ObjectType(
"Root",
fields=(
g.field("one", type=g.Int, params=[
g.param("arg", type=Input),
]),
),
)
graphql_query = """
query ($var: Input!) {
one(arg: $var)
}
"""
variables = {"var": {}}
error = pytest.raises(
GraphQLError,
lambda: _document_text_to_graph_query(graphql_query, query_type=Root, variables=variables),
)
assert_that(error.value.message, equal_to("Variable '$var' got invalid value {}; Field value.field of required type Int! was not provided."))
def test_input_object_type_field_names_are_converted_from_snake_case_to_camel_case():
graph_type = g.InputObjectType("Obj", fields=(
g.input_field("field_name", type=g.String),
))
assert_that(to_graphql_input_type(graph_type), is_graphql_non_null(
is_graphql_input_object_type(
fields=is_mapping({
"fieldName": anything,
}),
),
))
def test_when_input_field_has_default_then_input_field_type_is_nullable():
graph_type = g.InputObjectType("Obj", fields=(
g.input_field("value", type=g.String, default=""),
))
assert_that(to_graphql_input_type(graph_type), is_graphql_non_null(
is_graphql_input_object_type(
name="Obj",
fields=is_mapping({
"value": is_graphql_input_field(type=is_graphql_string),
}),
),
))
def test_input_object_type_is_converted_to_non_null_graphql_input_object_type():
graph_type = g.InputObjectType("Obj", fields=(
g.input_field("value", type=g.String),
))
assert_that(to_graphql_input_type(graph_type), is_graphql_non_null(
is_graphql_input_object_type(
name="Obj",
fields=is_mapping({
"value": is_graphql_input_field(type=is_graphql_non_null(is_graphql_string)),
}),
),
))
# TODO: deduplicate arg/variable tests
@pytest.mark.parametrize("arg_type, arg_string, arg_value", [
(g.Boolean, "true", True),
(g.Float, "4.2", 4.2),
(g.Int, "42", 42),
(g.String, '"value"', "value"),
(g.EnumType(Season), 'WINTER', Season.winter),
(g.NullableType(g.Int), "42", 42),
(g.NullableType(g.Int), "null", None),
(g.ListType(g.Int), "[]", []),
(g.ListType(g.Int), "[1, 2, 3]", [1, 2, 3]),
(
g.InputObjectType("User", fields=(
g.input_field("id", type=g.Int),
g.input_field("name", type=g.String),
)),
'{id: 42, name: "Bob"}',
lambda input_type: input_type(id=42, name="Bob"),
),
(
g.InputObjectType("Casing", fields=(
g.input_field("field_zero", type=g.Int),
)),
'{fieldZero: 1}',
lambda input_type: input_type(field_zero=1),
),
])
def test_literal_graphql_arg_values_are_converted(arg_type, arg_string, arg_value):
if callable(arg_value):
arg_value = arg_value(arg_type)
@pytest.mark.parametrize(
"arg_type, arg_string, arg_value",
[
(g.Boolean, "true", True),
(g.Float, "4.2", 4.2),
(g.Int, "42", 42),
(g.String, '"value"', "value"),
(g.EnumType(Season), '"WINTER"', Season.winter),
(g.NullableType(g.Int), "42", 42),
#~ (g.NullableType(g.Int), "null", None),
(g.ListType(g.Int), "[]", []),
(g.ListType(g.Int), "[1, 2, 3]", [1, 2, 3]),
(
g.InputObjectType("User",
fields=(
g.input_field("id", type=g.Int),
g.input_field("name", type=g.String),
)),
'{id: 42, name: "Bob"}',
g.Object({
"id": 42,
"name": "Bob"
}),
),
])
def test_graphql_arg_values_are_converted(arg_type, arg_string, arg_value):
Root = g.ObjectType(
"Root",
fields=(g.field("one",
type=g.Int,
params=[