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from ..generic import GenericScalar
from ..objecttype import ObjectType
from ..schema import Schema
class Query(ObjectType):
generic = GenericScalar(input=GenericScalar())
def resolve_generic(self, info, input=None):
return input
schema = Schema(query=Query)
def test_generic_query_variable():
for generic_value in [
1,
1.1,
True,
"str",
[1, 2, 3],
[1.1, 2.2, 3.3],
[True, False],
["str1", "str2"],
{"key_a": "a", "key_b": "b"},
{
"int": 1,
"float": 1.1,
"boolean": True,
"string": "str",
"int_list": [1, 2, 3],
"float_list": [1.1, 2.2, 3.3],
"boolean_list": [True, False],
"string_list": ["str1", "str2"],
"nested_dict": {"key_a": "a", "key_b": "b"},
},
None,
]:
result = schema.execute(
"""query Test($generic: GenericScalar){ generic(input: $generic) }""",
variables={"generic": generic_value},
)
assert not result.errors
assert result.data == {"generic": generic_value}
def test_generic_parse_literal_query():
result = schema.execute(
"""
query {
generic(input: {
int: 1,
float: 1.1
boolean: true,
string: "str",
int_list: [1, 2, 3],
float_list: [1.1, 2.2, 3.3],
boolean_list: [true, false]
string_list: ["str1", "str2"],
nested_dict: {
key_a: "a",
key_b: "b"
},
empty_key: undefined
})
}
"""
)
assert not result.errors
assert result.data == {
"generic": {
"int": 1,
"float": 1.1,
"boolean": True,
"string": "str",
"int_list": [1, 2, 3],
"float_list": [1.1, 2.2, 3.3],
"boolean_list": [True, False],
"string_list": ["str1", "str2"],
"nested_dict": {"key_a": "a", "key_b": "b"},
"empty_key": None,
}
}
|
