def test_conflicting_dict_name_fails():
document = {
"list_of_values": [
"test1",
600,
["test3", 1, 2, {
"field1": "testfield",
"field2": 5
}],
],
"list_of_values_2": {
"1": "test1",
"2": 501,
"3": ["test2", 1, 2, 55]
},
"list_of_values_3": ["test10", 600, "test11"],
}
schema = get_extended_dict_schema()
schema["list_of_values"]["name"] = "hello"
v = Validator(schema)
with pytest.raises(AttributeError):
v.normalized_as_object(document)
v.normalized_as_dict(document, allow_name_conflicts=True)
def test_readable_schema_wrong_naming():
document = {"produce": ["Apple", 5, "High"]}
schema = {
"unknown": {
"type":
"list",
"name":
"fruits",
"items": [
{
"type": "string"
},
{
"type": "integer",
"min": 0
},
{
"type": "string"
},
],
}
}
v = Validator(schema)
assert v.validate(document) is False
assert v.errors == {"produce": ["unknown field"]}
assert v.normalized_as_dict(document) == {
"produce": {
0: "Apple",
1: 5,
2: "High"
}
}
assert v.errors == {}
def test_simple_list_validation_works():
document = ["test1", 600, "test2"]
schema = get_simple_list_schema()
v = Validator(schema)
assert v.normalized_as_dict(document) == {0: "test1", 1: 600, 2: "test2"}
assert v.errors == {}
def test_extended_dict_validation_works():
document = {
"list_of_values": [
"test1",
600,
["test3", 1, 2, {
"field1": "testfield",
"field2": 5
}],
],
"list_of_values_2": {
"1": "test1",
"2": 501,
"3": ["test2", 1, 2, 55]
},
"list_of_values_3": ["test10", 600, "test11"],
}
schema = get_extended_dict_schema()
dict_schema = deepcopy(schema)
v = Validator(dict_schema)
assert v.normalized_as_dict(document) == {
"first_val": {
0: "test1",
1: 600,
2: {
0: "test3",
1: 1,
"hi": 2,
3: {
"field01231": "testfield",
"field2": 5
}
},
},
"list_of_values_2": {
"1": "test1",
"2": 501,
"3": {
0: "test2",
"second_int": 1,
2: 2,
3: 55
},
},
"hello": {
0: "test10",
1: 600,
2: "test11"
},
}
assert v.errors == {}
def test_simple_dict_validation_works():
document = {"list_of_values": ["test1", 600, "test2"]}
schema = get_simple_dict_schema()
v = Validator(schema)
assert v.normalized_as_dict(document) == {
"hello": {
0: "test1",
1: 600,
2: "test2"
}
}
assert v.errors == {}
def test_list_custom_coerce_rules_work_in_list():
def multiply(value):
return value * 2
schema = {"type": "list", "items": [{"type": "integer", "coerce": multiply}]}
document = [2]
v = Validator(schema)
assert v.validate(document) is True
assert v.errors == {}
assert v.normalized(document) == [4]
assert v.normalized_as_dict(document) == {0: 4}
def test_coerce_rules_work_in_list_thats_exceeded_len():
schema = {
"type": "list",
"items": [
{"type": "integer", "coerce": lambda x: x * 2},
{"type": "integer", "coerce": lambda x: int(x * 6)},
],
}
document = [2]
v = Validator(schema, allow_list_missing=True)
assert v.validate(document) is True
assert v.errors == {}
assert v.normalized(document) == [4]
assert v.normalized_as_dict(document) == {0: 4}
def test_list_lambda_coerce_rules_work_in_list():
schema = {
"type": "list",
"items": [
{"type": "integer", "coerce": lambda x: x * 2},
{"type": "integer", "coerce": lambda x: int(x * 6)},
],
}
document = [2, 1.5]
v = Validator(schema)
assert v.validate(document) is True
assert v.errors == {}
assert v.normalized(document) == [4, 9]
assert v.normalized_as_dict(document) == {0: 4, 1: 9}
def test_coerce_rules_work_in_list():
schema = {
"list_of_values": {
"type": "list",
"items": [
{"type": "string", "coerce": str},
{"type": "integer", "coerce": int},
],
}
}
document = {"list_of_values": [123, "987"]}
v = Validator()
assert v.validate(document, schema) is True
assert v.errors == {}
assert v.normalized_as_dict(document, schema) == {
"list_of_values": {0: "123", 1: 987}
}
def test_extended_list_validation_works():
document = [
["test1", 501, ["test2", 1, 2, 55]],
600,
["test3", 1, 2, {
"field1": "testfield",
"field2": 5
}],
["test10", 600, "test11"],
]
schema = get_extended_list_schema()
v = Validator(schema)
assert v.normalized_as_dict(document) == {
0: {
0: "test1",
1: 501,
2: {
0: "test2",
"second_int": 1,
2: 2,
3: 55
}
},
1: 600,
2: {
0: "test3",
1: 1,
"hi": 2,
3: {
"field01231": "testfield",
"field2": 5
}
},
"hello": {
0: "test10",
1: 600,
2: "test11"
},
}
assert v.errors == {}
def test_conflicting_dict_name_fails():
document = {
"list_of_values": [
"test1",
600,
["test3", 1, 2, {
"field1": "testfield",
"field2": 5
}],
],
"list_of_values_2": {
"1": "test1",
"2": 501,
"3": ["test2", 1, 2, 55]
},
"list_of_values_3": ["test10", 600, "test11"],
}
schema = get_extended_dict_schema()
dict_schema = deepcopy(schema)
dict_schema["list_of_values"]["name"] = "hello"
v = Validator(dict_schema)
with pytest.raises(AttributeError):
v.normalized_as_dict(document)
try:
assert v.normalized_as_dict(document, allow_name_conflicts=True) == {
"list_of_values_2": {
"1": "test1",
"2": 501,
"3": {
0: "test2",
"second_int": 1,
2: 2,
3: 55
},
},
"hello": {
0: "test10",
1: 600,
2: "test11"
},
}
except AssertionError:
if sys.version_info[0] == 3 and sys.version_info[1] < 6:
# Workaround for earlier versions of python 3 not having sortable dicts
assert v.normalized_as_dict(document,
allow_name_conflicts=True) == {
"list_of_values_2": {
"1": "test1",
"2": 501,
"3": {
0: "test2",
"second_int": 1,
2: 2,
3: 55
},
},
"hello": {
0: "test1",
1: 600,
2: {
0: "test3",
1: 1,
"hi": 2,
3: {
"field01231":
"testfield",
"field2": 5
},
},
},
}
else:
raise
assert v.errors == {}
def test_multiuse_validation_works():
document = {
"list_of_values": [
"rawr",
1000,
[
"sfsdf", 1, 4, {
"field1": "dasdsa",
"field2": 3,
"field3": "sfd"
}
],
],
"list_of_values_2": ["fd", 1000, ["sfsdf", 1, 5434, 4, 4]],
}
schema = get_multiuse_schema()
v = Validator(schema, allow_list_missing=True)
for i in range(3):
# -------------------------------------------------------------------------------------------------------
expected_value = {
"list_of_values": [{
2: [{
3: [{
"field3": ["unknown field"]
}]
}]
}],
"list_of_values_2": [{
2: [{
3: ["min value is 50"],
4: ["unknown field"]
}]
}],
}
assert v.validate(document) is False
assert v.errors == expected_value
assert v.validate(document, schema) is False
assert v.errors == expected_value
# -------------------------------------------------------------------------------------------------------
expected_value = {
"list_of_values": [
"rawr",
1000,
[
"sfsdf", 1, 4, {
"field1": "dasdsa",
"field2": 3,
"field3": "sfd"
}
],
],
"list_of_values_2": ["fd", 1000, ["sfsdf", 1, 5434, 4, 4]],
}
assert v.normalized(document) == expected_value
assert v.normalized(document, schema) == expected_value
# -------------------------------------------------------------------------------------------------------
expected_value = {
"hello": {
0: "rawr",
1: 1000,
2: {
0: "sfsdf",
1: 1,
"hi": 4,
3: {
"field01231": "dasdsa",
"field2": 3,
"field3": "sfd"
},
},
},
"list_of_values_2": {
0: "fd",
1: 1000,
2: {
0: "sfsdf",
"nd_int": 1,
2: 5434,
3: 4,
4: 4
},
},
}
assert v.normalized_as_dict(document) == expected_value
assert v.normalized_as_dict(document, schema) == expected_value
a = v.normalized_as_object(document)
b = v.normalized_as_object(document, schema)
assert a.hello[2].hi == 4
assert b.hello[2].hi == 4
assert a.list_of_values_2[2].nd_int == 1
assert a.list_of_values_2[2].nd_int == 1
assert a.list_of_values_2[2][2] == 5434
assert a.list_of_values_2[2][2] == 5434