Module aws_lambda_powertools.logging.types

Classes

class PowertoolsLogRecord (*args, **kwargs)

dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2)

Expand source code

class PowertoolsLogRecord(TypedDict):
    # Base fields (required)
    level: str
    location: str
    message: dict[str, Any] | str | bool | list[Any]
    timestamp: str | int
    service: str

    # Fields from logger.inject_lambda_context
    cold_start: NotRequired[bool]
    function_name: NotRequired[str]
    function_memory_size: NotRequired[int]
    function_arn: NotRequired[str]
    function_request_id: NotRequired[str]
    # From logger.inject_lambda_context if AWS X-Ray is enabled
    xray_trace_id: NotRequired[str]

    # If sample_rate is defined
    sampling_rate: NotRequired[float]

    # From logger.set_correlation_id
    correlation_id: NotRequired[str]

    # Fields from logger.exception
    exception_name: NotRequired[str]
    exception: NotRequired[str]
    stack_trace: NotRequired[dict[str, Any]]

Ancestors

• builtins.dict

Class variables

var cold_start : NotRequired[bool]', module='aws_lambda_powertools.logging.types

var correlation_id : NotRequired[str]', module='aws_lambda_powertools.logging.types

var exception : NotRequired[str]', module='aws_lambda_powertools.logging.types

var exception_name : NotRequired[str]', module='aws_lambda_powertools.logging.types

var function_arn : NotRequired[str]', module='aws_lambda_powertools.logging.types

var function_memory_size : NotRequired[int]', module='aws_lambda_powertools.logging.types

var function_name : NotRequired[str]', module='aws_lambda_powertools.logging.types

var function_request_id : NotRequired[str]', module='aws_lambda_powertools.logging.types

var level : str', module='aws_lambda_powertools.logging.types

var location : str', module='aws_lambda_powertools.logging.types

var message : dict[str, Any] | str | bool | list[Any]', module='aws_lambda_powertools.logging.types

var sampling_rate : NotRequired[float]', module='aws_lambda_powertools.logging.types

var service : str', module='aws_lambda_powertools.logging.types

var stack_trace : NotRequired[dict[str, Any]]', module='aws_lambda_powertools.logging.types

var timestamp : str | int', module='aws_lambda_powertools.logging.types

var xray_trace_id : NotRequired[str]', module='aws_lambda_powertools.logging.types

class PowertoolsStackTrace (*args, **kwargs)

dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2)

Expand source code

class PowertoolsStackTrace(TypedDict):
    type: str
    value: str
    module: str
    frames: list[dict[str, Any]]

Ancestors

• builtins.dict

Class variables

var frames : list[dict[str, typing.Any]]

var module : str

var type : str

var value : str