| import base64 |
| import datetime |
| import json |
|
|
| import pytest |
|
|
| from aws_lambda_powertools.utilities.data_classes import APIGatewayProxyEventV2 |
| from aws_lambda_powertools.utilities.data_classes.api_gateway_authorizer_event import ( |
| parse_api_gateway_arn, |
| ) |
| from aws_lambda_powertools.utilities.data_classes.appsync.scalar_types_utils import ( |
| _formatted_time, |
| aws_date, |
| aws_datetime, |
| aws_time, |
| aws_timestamp, |
| make_id, |
| ) |
| from aws_lambda_powertools.utilities.data_classes.common import ( |
| BaseProxyEvent, |
| DictWrapper, |
| ) |
| from aws_lambda_powertools.utilities.data_classes.event_source import event_source |
|
|
|
|
| def test_dict_wrapper_equals(): |
| class DataClassSample(DictWrapper): |
| @property |
| def message(self) -> str: |
| return self.get("message") |
|
|
| data1 = {"message": "foo1"} |
| data2 = {"message": "foo2"} |
|
|
| assert DataClassSample(data1) == DataClassSample(data1) |
| assert DataClassSample(data1) != DataClassSample(data2) |
| |
| assert DataClassSample(data1) != data1 |
| assert data1 != DataClassSample(data1) |
| assert DataClassSample(data1) is not data1 |
| assert data1 is not DataClassSample(data1) |
|
|
| assert DataClassSample(data1).raw_event is data1 |
|
|
|
|
| def test_dict_wrapper_with_default_custom_json_deserializer(): |
| class DataClassSample(DictWrapper): |
| @property |
| def json_body(self) -> dict: |
| return self._json_deserializer(self["body"]) |
|
|
| data = {"body": '{"message": "foo1"}'} |
| event = DataClassSample(data=data) |
| assert event.json_body == json.loads(data["body"]) |
|
|
|
|
| def test_dict_wrapper_with_valid_custom_json_deserializer(): |
| class DataClassSample(DictWrapper): |
| @property |
| def json_body(self) -> dict: |
| return self._json_deserializer(self["body"]) |
|
|
| def fake_json_deserializer(record: dict): |
| return json.loads(record) |
|
|
| data = {"body": '{"message": "foo1"}'} |
| event = DataClassSample(data=data, json_deserializer=fake_json_deserializer) |
| assert event.json_body == json.loads(data["body"]) |
|
|
|
|
| def test_dict_wrapper_with_invalid_custom_json_deserializer(): |
| class DataClassSample(DictWrapper): |
| @property |
| def json_body(self) -> dict: |
| return self._json_deserializer(self["body"]) |
|
|
| def fake_json_deserializer() -> None: |
| |
| pass |
|
|
| data = {"body": {"message": "foo1"}} |
| with pytest.raises(TypeError): |
| event = DataClassSample(data=data, json_deserializer=fake_json_deserializer) |
| assert event.json_body == {"message": "foo1"} |
|
|
|
|
| def test_dict_wrapper_implements_mapping(): |
| class DataClassSample(DictWrapper): |
| pass |
|
|
| data = {"message": "foo1"} |
| event_source = DataClassSample(data) |
| assert len(event_source) == len(data) |
| assert list(event_source) == list(data) |
| assert event_source.keys() == data.keys() |
| assert list(event_source.values()) == list(data.values()) |
| assert event_source.items() == data.items() |
|
|
|
|
| def test_dict_wrapper_str_no_property(): |
| """ |
| Checks that the _properties function returns |
| only the "raw_event", and the resulting string |
| notes it as sensitive. |
| """ |
|
|
| class DataClassSample(DictWrapper): |
| attribute = None |
|
|
| def function(self) -> None: |
| pass |
|
|
| event_source = DataClassSample({}) |
| assert str(event_source) == "{'raw_event': '[SENSITIVE]'}" |
|
|
|
|
| def test_dict_wrapper_str_single_property(): |
| """ |
| Checks that the _properties function returns |
| the defined property "data_property", and |
| resulting string includes the property value. |
| """ |
|
|
| class DataClassSample(DictWrapper): |
| attribute = None |
|
|
| def function(self) -> None: |
| pass |
|
|
| @property |
| def data_property(self) -> str: |
| return "value" |
|
|
| event_source = DataClassSample({}) |
| assert str(event_source) == "{'data_property': 'value', 'raw_event': '[SENSITIVE]'}" |
|
|
|
|
| def test_dict_wrapper_str_property_exception(): |
| """ |
| Check the recursive _str_helper function handles |
| exceptions that may occur when accessing properties |
| """ |
|
|
| class DataClassSample(DictWrapper): |
| attribute = None |
|
|
| def function(self) -> None: |
| pass |
|
|
| @property |
| def data_property(self): |
| raise Exception() |
|
|
| event_source = DataClassSample({}) |
| assert str(event_source) == "{'data_property': '[Cannot be deserialized]', 'raw_event': '[SENSITIVE]'}" |
|
|
|
|
| def test_dict_wrapper_str_property_list_exception(): |
| """ |
| Check that _str_helper properly handles exceptions |
| that occur when recursively working through items |
| in a list property. |
| """ |
|
|
| class BrokenDataClass(DictWrapper): |
| @property |
| def broken_data_property(self): |
| raise Exception() |
|
|
| class DataClassSample(DictWrapper): |
| attribute = None |
|
|
| def function(self) -> None: |
| pass |
|
|
| @property |
| def data_property(self) -> list: |
| return ["string", 0, 0.0, BrokenDataClass({})] |
|
|
| event_source = DataClassSample({}) |
| event_str = ( |
| "{'data_property': ['string', 0, 0.0, {'broken_data_property': " |
| "'[Cannot be deserialized]', 'raw_event': '[SENSITIVE]'}], 'raw_event': '[SENSITIVE]'}" |
| ) |
| assert str(event_source) == event_str |
|
|
|
|
| def test_dict_wrapper_str_recursive_property(): |
| """ |
| Check that the _str_helper function recursively |
| handles Data Classes within Data Classes |
| """ |
|
|
| class DataClassTerminal(DictWrapper): |
| attribute = None |
|
|
| def function(self) -> None: |
| pass |
|
|
| @property |
| def terminal_property(self) -> str: |
| return "end-recursion" |
|
|
| class DataClassRecursive(DictWrapper): |
| attribute = None |
|
|
| def function(self) -> None: |
| pass |
|
|
| @property |
| def data_property(self) -> DataClassTerminal: |
| return DataClassTerminal({}) |
|
|
| event_source = DataClassRecursive({}) |
| assert ( |
| str(event_source) == "{'data_property': {'raw_event': '[SENSITIVE]', 'terminal_property': 'end-recursion'}," |
| " 'raw_event': '[SENSITIVE]'}" |
| ) |
|
|
|
|
| def test_dict_wrapper_sensitive_properties_property(): |
| """ |
| Checks that the _str_helper function correctly |
| handles _sensitive_properties |
| """ |
|
|
| class DataClassSample(DictWrapper): |
| attribute = None |
|
|
| def function(self) -> None: |
| pass |
|
|
| _sensitive_properties = ["data_property"] |
|
|
| @property |
| def data_property(self) -> str: |
| return "value" |
|
|
| event_source = DataClassSample({}) |
| assert str(event_source) == "{'data_property': '[SENSITIVE]', 'raw_event': '[SENSITIVE]'}" |
|
|
|
|
| def test_base_proxy_event_json_body(): |
| data = {"message": "Foo"} |
| event = BaseProxyEvent({"body": json.dumps(data)}) |
| assert event.json_body == data |
| assert event.json_body["message"] == "Foo" |
|
|
|
|
| def test_base_proxy_event_decode_body_encoded_false(): |
| data = "Foo" |
| event = BaseProxyEvent({"body": data, "isBase64Encoded": False}) |
| assert event.decoded_body == data |
|
|
|
|
| def test_base_proxy_event_decode_body_encoded_true(): |
| data = "Foo" |
| encoded_data = base64.b64encode(data.encode()).decode() |
| event = BaseProxyEvent({"body": encoded_data, "isBase64Encoded": True}) |
| assert event.decoded_body == data |
|
|
|
|
| def test_base_proxy_event_json_body_with_base64_encoded_data(): |
| |
| data = {"message": "Foo"} |
| data_str = json.dumps(data) |
| encoded_data = base64.b64encode(data_str.encode()).decode() |
| event = BaseProxyEvent({"body": encoded_data, "isBase64Encoded": True}) |
|
|
| |
| |
| assert event.json_body == data |
|
|
|
|
| def test_make_id(): |
| uuid: str = make_id() |
| assert isinstance(uuid, str) |
| assert len(uuid) == 36 |
|
|
|
|
| def test_aws_date_utc(): |
| date_str = aws_date() |
| assert isinstance(date_str, str) |
| assert datetime.datetime.strptime(date_str, "%Y-%m-%dZ") |
|
|
|
|
| def test_aws_time_utc(): |
| time_str = aws_time() |
| assert isinstance(time_str, str) |
| assert datetime.datetime.strptime(time_str, "%H:%M:%S.%fZ") |
|
|
|
|
| def test_aws_datetime_utc(): |
| datetime_str = aws_datetime() |
| assert datetime.datetime.strptime(datetime_str[:-1] + "000Z", "%Y-%m-%dT%H:%M:%S.%fZ") |
|
|
|
|
| def test_format_time_to_milli(): |
| now = datetime.datetime(2024, 4, 23, 16, 26, 34, 123021) |
| datetime_str = _formatted_time(now, "%H:%M:%S.%f", -12) |
| assert datetime_str == "04:26:34.123-12:00:00" |
|
|
|
|
| def test_aws_timestamp(): |
| timestamp = aws_timestamp() |
| assert isinstance(timestamp, int) |
|
|
|
|
| def test_format_time_positive(): |
| now = datetime.datetime(2022, 1, 22) |
| datetime_str = _formatted_time(now, "%Y-%m-%d", 8) |
| assert datetime_str == "2022-01-22+08:00:00" |
|
|
|
|
| def test_format_time_negative(): |
| now = datetime.datetime(2022, 1, 22, 14, 22, 33) |
| datetime_str = _formatted_time(now, "%H:%M:%S", -12) |
| assert datetime_str == "02:22:33-12:00:00" |
|
|
|
|
| def test_reflected_types(): |
| |
| @event_source(data_class=APIGatewayProxyEventV2) |
| def lambda_handler(event: APIGatewayProxyEventV2, _): |
| |
| assert isinstance(event, APIGatewayProxyEventV2) |
| assert event.headers["x-foo"] == "Foo" |
|
|
| |
| lambda_handler({"headers": {"X-Foo": "Foo"}}, None) |
|
|
|
|
| def test_api_gateway_route_arn_parser(): |
| """Check api gateway route or method arn parsing""" |
| arn = "arn:aws:execute-api:us-east-1:123456789012:abcdef123/test/GET/request" |
| details = parse_api_gateway_arn(arn) |
|
|
| assert details.arn == arn |
| assert details.region == "us-east-1" |
| assert details.aws_account_id == "123456789012" |
| assert details.api_id == "abcdef123" |
| assert details.stage == "test" |
| assert details.http_method == "GET" |
| assert details.resource == "request" |
|
|
| arn = "arn:aws:execute-api:us-west-2:123456789012:ymy8tbxw7b/*/GET" |
| details = parse_api_gateway_arn(arn) |
| assert details.resource == "" |
| assert details.arn == arn + "/" |
|
|