Module aws_lambda_powertools.logging.formatter

Classes

class BasePowertoolsFormatter (fmt=None, datefmt=None, style='%', validate=True, *, defaults=None)

Formatter instances are used to convert a LogRecord to text.

Formatters need to know how a LogRecord is constructed. They are responsible for converting a LogRecord to (usually) a string which can be interpreted by either a human or an external system. The base Formatter allows a formatting string to be specified. If none is supplied, the style-dependent default value, "%(message)s", "{message}", or "${message}", is used.

The Formatter can be initialized with a format string which makes use of knowledge of the LogRecord attributes - e.g. the default value mentioned above makes use of the fact that the user's message and arguments are pre- formatted into a LogRecord's message attribute. Currently, the useful attributes in a LogRecord are described by:

%(name)s Name of the logger (logging channel) %(levelno)s Numeric logging level for the message (DEBUG, INFO, WARNING, ERROR, CRITICAL) %(levelname)s Text logging level for the message ("DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL") %(pathname)s Full pathname of the source file where the logging call was issued (if available) %(filename)s Filename portion of pathname %(module)s Module (name portion of filename) %(lineno)d Source line number where the logging call was issued (if available) %(funcName)s Function name %(created)f Time when the LogRecord was created (time.time() return value) %(asctime)s Textual time when the LogRecord was created %(msecs)d Millisecond portion of the creation time %(relativeCreated)d Time in milliseconds when the LogRecord was created, relative to the time the logging module was loaded (typically at application startup time) %(thread)d Thread ID (if available) %(threadName)s Thread name (if available) %(taskName)s Task name (if available) %(process)d Process ID (if available) %(message)s The result of record.getMessage(), computed just as the record is emitted

Initialize the formatter with specified format strings.

Initialize the formatter either with the specified format string, or a default as described above. Allow for specialized date formatting with the optional datefmt argument. If datefmt is omitted, you get an ISO8601-like (or RFC 3339-like) format.

Use a style parameter of '%', '{' or '$' to specify that you want to use one of %-formatting, :meth:str.format ({}) formatting or :class:string.Template formatting in your format string.

Changed in version: 3.2

Added the style parameter.

Expand source code

class BasePowertoolsFormatter(logging.Formatter, metaclass=ABCMeta):
    @abstractmethod
    def append_keys(self, **additional_keys) -> None:
        raise NotImplementedError()

    def get_current_keys(self) -> Dict[str, Any]:
        return {}

    def remove_keys(self, keys: Iterable[str]) -> None:
        raise NotImplementedError()

    @abstractmethod
    def clear_state(self) -> None:
        """Removes any previously added logging keys"""
        raise NotImplementedError()

Ancestors

• logging.Formatter

Subclasses

• LambdaPowertoolsFormatter

Methods

def append_keys(self, **additional_keys) ‑> None

def clear_state(self) ‑> None

Removes any previously added logging keys

def get_current_keys(self) ‑> Dict[str, Any]

def remove_keys(self, keys: Iterable[str]) ‑> None

class LambdaPowertoolsFormatter (json_serializer: Callable[[LogRecord], str] | None = None, json_deserializer: Callable[[Dict | str | bool | int | float], str] | None = None, json_default: Callable[[Any], Any] | None = None, datefmt: str | None = None, use_datetime_directive: bool = False, log_record_order: List[str] | None = None, utc: bool = False, use_rfc3339: bool = False, serialize_stacktrace: bool = True, **kwargs)

Powertools for AWS Lambda (Python) Logging formatter.

Formats the log message as a JSON encoded string. If the message is a dict it will be used directly.

Return a LambdaPowertoolsFormatter instance.

The log_record_order kwarg is used to specify the order of the keys used in the structured json logs. By default the order is: "level", "location", "message", "timestamp", "service".

Other kwargs are used to specify log field format strings.

Parameters

json_serializer : Callable, optional

function to serialize obj to a JSON formatted str, by default json.dumps

json_deserializer : Callable, optional

function to deserialize str, bytes, bytearray containing a JSON document to a Python obj`, by default json.loads

json_default : Callable, optional

function to coerce unserializable values, by default str

Only used when no custom JSON encoder is set

datefmt : str, optional

String directives (strftime) to format log timestamp.

See https://docs.python.org/3/library/time.html#time.strftime or

use_datetime_directive : str, optional

Interpret datefmt as a format string for datetime.datetime.strftime, rather than time.strftime - Only useful when used alongside datefmt.

See https://docs.python.org/3/library/datetime.html#strftime-strptime-behavior . This also supports a custom %F directive for milliseconds.

utc : bool, optional

set logging timestamp to UTC, by default False to continue to use local time as per stdlib

use_rfc3339 : bool, optional

Whether to use a popular dateformat that complies with both RFC3339 and ISO8601. e.g., 2022-10-27T16:27:43.738+02:00.

log_record_order : list, optional

set order of log keys when logging, by default ["level", "location", "message", "timestamp"]

kwargs

Key-value to be included in log messages

Expand source code

class LambdaPowertoolsFormatter(BasePowertoolsFormatter):
    """Powertools for AWS Lambda (Python) Logging formatter.

    Formats the log message as a JSON encoded string. If the message is a
    dict it will be used directly.
    """

    default_time_format = "%Y-%m-%d %H:%M:%S,%F%z"  # '2021-04-17 18:19:57,656+0200'
    custom_ms_time_directive = "%F"
    RFC3339_ISO8601_FORMAT = "%Y-%m-%dT%H:%M:%S.%F%z"  # '2022-10-27T16:27:43.738+02:00'

    def __init__(
        self,
        json_serializer: Callable[[LogRecord], str] | None = None,
        json_deserializer: Callable[[Dict | str | bool | int | float], str] | None = None,
        json_default: Callable[[Any], Any] | None = None,
        datefmt: str | None = None,
        use_datetime_directive: bool = False,
        log_record_order: List[str] | None = None,
        utc: bool = False,
        use_rfc3339: bool = False,
        serialize_stacktrace: bool = True,
        **kwargs,
    ) -> None:
        """Return a LambdaPowertoolsFormatter instance.

        The `log_record_order` kwarg is used to specify the order of the keys used in
        the structured json logs. By default the order is: "level", "location", "message", "timestamp",
        "service".

        Other kwargs are used to specify log field format strings.

        Parameters
        ----------
        json_serializer : Callable, optional
            function to serialize `obj` to a JSON formatted `str`, by default json.dumps
        json_deserializer : Callable, optional
            function to deserialize `str`, `bytes`, bytearray` containing a JSON document to a Python `obj`,
            by default json.loads
        json_default : Callable, optional
            function to coerce unserializable values, by default str

            Only used when no custom JSON encoder is set

        datefmt : str, optional
            String directives (strftime) to format log timestamp.

            See https://docs.python.org/3/library/time.html#time.strftime or
        use_datetime_directive: str, optional
            Interpret `datefmt` as a format string for `datetime.datetime.strftime`, rather than
            `time.strftime` - Only useful when used alongside `datefmt`.

            See https://docs.python.org/3/library/datetime.html#strftime-strptime-behavior . This
            also supports a custom %F directive for milliseconds.
        utc : bool, optional
            set logging timestamp to UTC, by default False to continue to use local time as per stdlib
        use_rfc3339: bool, optional
            Whether to use a popular dateformat that complies with both RFC3339 and ISO8601.
            e.g., 2022-10-27T16:27:43.738+02:00.
        log_record_order : list, optional
            set order of log keys when logging, by default ["level", "location", "message", "timestamp"]
        kwargs
            Key-value to be included in log messages

        """

        self.json_deserializer = json_deserializer or json.loads
        self.json_default = json_default or str
        self.json_indent = (
            constants.PRETTY_INDENT if powertools_dev_is_set() else constants.COMPACT_INDENT
        )  # indented json serialization when in AWS SAM Local
        self.json_serializer = json_serializer or partial(
            json.dumps,
            default=self.json_default,
            separators=(",", ":"),
            indent=self.json_indent,
            ensure_ascii=False,  # see #3474
        )

        self.datefmt = datefmt
        self.use_datetime_directive = use_datetime_directive

        self.utc = utc
        self.log_record_order = log_record_order or ["level", "location", "message", "timestamp"]
        self.log_format = dict.fromkeys(self.log_record_order)  # Set the insertion order for the log messages
        self.update_formatter = self.append_keys  # alias to old method
        self.use_rfc3339_iso8601 = use_rfc3339

        if self.utc:
            self.converter = time.gmtime
        else:
            self.converter = time.localtime

        self.keys_combined = {**self._build_default_keys(), **kwargs}
        self.log_format.update(**self.keys_combined)

        self.serialize_stacktrace = serialize_stacktrace

        super().__init__(datefmt=self.datefmt)

    def serialize(self, log: LogRecord) -> str:
        """Serialize structured log dict to JSON str"""
        return self.json_serializer(log)

    def format(self, record: logging.LogRecord) -> str:  # noqa: A003
        """Format logging record as structured JSON str"""
        formatted_log = self._extract_log_keys(log_record=record)
        formatted_log["message"] = self._extract_log_message(log_record=record)

        # exception and exception_name fields can be added as extra key
        # in any log level, we try to extract and use them first
        extracted_exception, extracted_exception_name = self._extract_log_exception(log_record=record)
        formatted_log["exception"] = formatted_log.get("exception", extracted_exception)
        formatted_log["exception_name"] = formatted_log.get("exception_name", extracted_exception_name)
        if self.serialize_stacktrace:
            # Generate the traceback from the traceback library
            formatted_log["stack_trace"] = self._serialize_stacktrace(log_record=record)
        formatted_log["xray_trace_id"] = self._get_latest_trace_id()
        formatted_log = self._strip_none_records(records=formatted_log)

        return self.serialize(log=formatted_log)

    def formatTime(self, record: logging.LogRecord, datefmt: Optional[str] = None) -> str:
        # As of Py3.7, we can infer milliseconds directly from any datetime
        # saving processing time as we can shortcircuit early
        # Maintenance: In V3, we (and Java) should move to this format by default
        # since we've provided enough time for those migrating from std logging
        if self.use_rfc3339_iso8601:
            if self.utc:
                ts_as_datetime = datetime.fromtimestamp(record.created, tz=timezone.utc)
            else:
                ts_as_datetime = datetime.fromtimestamp(record.created).astimezone()

            return ts_as_datetime.isoformat(timespec="milliseconds")  # 2022-10-27T17:42:26.841+0200

        # converts to local/UTC TZ as struct time
        record_ts = self.converter(record.created)

        if datefmt is None:  # pragma: no cover, it'll always be None in std logging, but mypy
            datefmt = self.datefmt

        # NOTE: Python `time.strftime` doesn't provide msec directives
        # so we create a custom one (%F) and replace logging record_ts
        # Reason 2 is that std logging doesn't support msec after TZ
        msecs = "%03d" % record.msecs

        # Datetime format codes is a superset of time format codes
        # therefore we only honour them if explicitly asked
        # by default, those migrating from std logging will use time format codes
        # https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes
        if self.use_datetime_directive and datefmt:
            # record.msecs are microseconds, divide by 1000 to get milliseconds
            timestamp = record.created + record.msecs / 1000

            if self.utc:
                dt = datetime.fromtimestamp(timestamp, tz=timezone.utc)
            else:
                dt = datetime.fromtimestamp(timestamp).astimezone()

            custom_fmt = datefmt.replace(self.custom_ms_time_directive, msecs)
            return dt.strftime(custom_fmt)

        # Only time format codes being used
        elif datefmt:
            custom_fmt = datefmt.replace(self.custom_ms_time_directive, msecs)
            return time.strftime(custom_fmt, record_ts)

        # Use default fmt: 2021-05-03 10:20:19,650+0200
        custom_fmt = self.default_time_format.replace(self.custom_ms_time_directive, msecs)
        return time.strftime(custom_fmt, record_ts)

    def append_keys(self, **additional_keys) -> None:
        self.log_format.update(additional_keys)

    def get_current_keys(self) -> Dict[str, Any]:
        return self.log_format

    def remove_keys(self, keys: Iterable[str]) -> None:
        for key in keys:
            self.log_format.pop(key, None)

    def clear_state(self) -> None:
        self.log_format = dict.fromkeys(self.log_record_order)
        self.log_format.update(**self.keys_combined)

    @staticmethod
    def _build_default_keys() -> Dict[str, str]:
        return {
            "level": "%(levelname)s",
            "location": "%(funcName)s:%(lineno)d",
            "timestamp": "%(asctime)s",
        }

    def _get_latest_trace_id(self) -> Optional[str]:
        xray_trace_id_key = self.log_format.get("xray_trace_id", "")
        if xray_trace_id_key is None:
            # key is explicitly disabled; ignore it. e.g., Logger(xray_trace_id=None)
            return None

        xray_trace_id = os.getenv(constants.XRAY_TRACE_ID_ENV)
        return xray_trace_id.split(";")[0].replace("Root=", "") if xray_trace_id else None

    def _extract_log_message(self, log_record: logging.LogRecord) -> Union[Dict[str, Any], str, bool, Iterable]:
        """Extract message from log record and attempt to JSON decode it if str

        Parameters
        ----------
        log_record : logging.LogRecord
            Log record to extract message from

        Returns
        -------
        message: Union[Dict, str, bool, Iterable]
            Extracted message
        """
        message = log_record.msg
        if isinstance(message, dict):
            return message

        if log_record.args:  # logger.info("foo %s", "bar") requires formatting
            return log_record.getMessage()

        if isinstance(message, str):  # could be a JSON string
            try:
                message = self.json_deserializer(message)
            except (json.decoder.JSONDecodeError, TypeError, ValueError):
                pass

        return message

    def _serialize_stacktrace(self, log_record: logging.LogRecord) -> LogStackTrace | None:
        if log_record.exc_info:
            exception_info: LogStackTrace = {
                "type": log_record.exc_info[0].__name__,  # type: ignore
                "value": log_record.exc_info[1],  # type: ignore
                "module": log_record.exc_info[1].__class__.__module__,
                "frames": [],
            }

            exception_info["frames"] = [
                {"file": fs.filename, "line": fs.lineno, "function": fs.name, "statement": fs.line}
                for fs in traceback.extract_tb(log_record.exc_info[2])
            ]

            return exception_info

        return None

    def _extract_log_exception(self, log_record: logging.LogRecord) -> Union[Tuple[str, str], Tuple[None, None]]:
        """Format traceback information, if available

        Parameters
        ----------
        log_record : logging.LogRecord
            Log record to extract message from

        Returns
        -------
        log_record: Optional[Tuple[str, str]]
            Log record with constant traceback info and exception name
        """
        if log_record.exc_info:
            return self.formatException(log_record.exc_info), log_record.exc_info[0].__name__  # type: ignore

        return None, None

    def _extract_log_keys(self, log_record: logging.LogRecord) -> Dict[str, Any]:
        """Extract and parse custom and reserved log keys

        Parameters
        ----------
        log_record : logging.LogRecord
            Log record to extract keys from

        Returns
        -------
        formatted_log: Dict
            Structured log as dictionary
        """
        record_dict = log_record.__dict__.copy()
        record_dict["asctime"] = self.formatTime(record=log_record)
        extras = {k: v for k, v in record_dict.items() if k not in RESERVED_LOG_ATTRS}

        formatted_log = {}

        # Iterate over a default or existing log structure
        # then replace any std log attribute e.g. '%(level)s' to 'INFO', '%(process)d to '4773'
        # lastly add or replace incoming keys (those added within the constructor or .structure_logs method)
        for key, value in self.log_format.items():
            if value and key in RESERVED_LOG_ATTRS:
                formatted_log[key] = value % record_dict
            else:
                formatted_log[key] = value

        formatted_log.update(**extras)
        return formatted_log

    @staticmethod
    def _strip_none_records(records: Dict[str, Any]) -> Dict[str, Any]:
        """Remove any key with None as value"""
        return {k: v for k, v in records.items() if v is not None}

Ancestors

• BasePowertoolsFormatter
• logging.Formatter

Subclasses

• DatadogLogFormatter

Class variables

var RFC3339_ISO8601_FORMAT

var custom_ms_time_directive

var default_time_format

Methods

def append_keys(self, **additional_keys) ‑> None

def clear_state(self) ‑> None

Removes any previously added logging keys

def format(self, record: logging.LogRecord) ‑> str

Format logging record as structured JSON str

def formatTime(self, record: logging.LogRecord, datefmt: Optional[str] = None) ‑> str

Return the creation time of the specified LogRecord as formatted text.

This method should be called from format() by a formatter which wants to make use of a formatted time. This method can be overridden in formatters to provide for any specific requirement, but the basic behaviour is as follows: if datefmt (a string) is specified, it is used with time.strftime() to format the creation time of the record. Otherwise, an ISO8601-like (or RFC 3339-like) format is used. The resulting string is returned. This function uses a user-configurable function to convert the creation time to a tuple. By default, time.localtime() is used; to change this for a particular formatter instance, set the 'converter' attribute to a function with the same signature as time.localtime() or time.gmtime(). To change it for all formatters, for example if you want all logging times to be shown in GMT, set the 'converter' attribute in the Formatter class.

def get_current_keys(self) ‑> Dict[str, Any]

def remove_keys(self, keys: Iterable[str]) ‑> None

def serialize(self, log: LogRecord)

Serialize structured log dict to JSON str

class JsonFormatter (json_serializer: Callable[[LogRecord], str] | None = None, json_deserializer: Callable[[Dict | str | bool | int | float], str] | None = None, json_default: Callable[[Any], Any] | None = None, datefmt: str | None = None, use_datetime_directive: bool = False, log_record_order: List[str] | None = None, utc: bool = False, use_rfc3339: bool = False, serialize_stacktrace: bool = True, **kwargs)

Powertools for AWS Lambda (Python) Logging formatter.

Formats the log message as a JSON encoded string. If the message is a dict it will be used directly.

Return a LambdaPowertoolsFormatter instance.

The log_record_order kwarg is used to specify the order of the keys used in the structured json logs. By default the order is: "level", "location", "message", "timestamp", "service".

Other kwargs are used to specify log field format strings.

Parameters

json_serializer : Callable, optional

function to serialize obj to a JSON formatted str, by default json.dumps

json_deserializer : Callable, optional

function to deserialize str, bytes, bytearray containing a JSON document to a Python obj`, by default json.loads

json_default : Callable, optional

function to coerce unserializable values, by default str

Only used when no custom JSON encoder is set

datefmt : str, optional

String directives (strftime) to format log timestamp.

See https://docs.python.org/3/library/time.html#time.strftime or

use_datetime_directive : str, optional

Interpret datefmt as a format string for datetime.datetime.strftime, rather than time.strftime - Only useful when used alongside datefmt.

See https://docs.python.org/3/library/datetime.html#strftime-strptime-behavior . This also supports a custom %F directive for milliseconds.

utc : bool, optional

set logging timestamp to UTC, by default False to continue to use local time as per stdlib

use_rfc3339 : bool, optional

Whether to use a popular dateformat that complies with both RFC3339 and ISO8601. e.g., 2022-10-27T16:27:43.738+02:00.

log_record_order : list, optional

set order of log keys when logging, by default ["level", "location", "message", "timestamp"]

kwargs

Key-value to be included in log messages

Expand source code

class LambdaPowertoolsFormatter(BasePowertoolsFormatter):
    """Powertools for AWS Lambda (Python) Logging formatter.

    Formats the log message as a JSON encoded string. If the message is a
    dict it will be used directly.
    """

    default_time_format = "%Y-%m-%d %H:%M:%S,%F%z"  # '2021-04-17 18:19:57,656+0200'
    custom_ms_time_directive = "%F"
    RFC3339_ISO8601_FORMAT = "%Y-%m-%dT%H:%M:%S.%F%z"  # '2022-10-27T16:27:43.738+02:00'

    def __init__(
        self,
        json_serializer: Callable[[LogRecord], str] | None = None,
        json_deserializer: Callable[[Dict | str | bool | int | float], str] | None = None,
        json_default: Callable[[Any], Any] | None = None,
        datefmt: str | None = None,
        use_datetime_directive: bool = False,
        log_record_order: List[str] | None = None,
        utc: bool = False,
        use_rfc3339: bool = False,
        serialize_stacktrace: bool = True,
        **kwargs,
    ) -> None:
        """Return a LambdaPowertoolsFormatter instance.

        The `log_record_order` kwarg is used to specify the order of the keys used in
        the structured json logs. By default the order is: "level", "location", "message", "timestamp",
        "service".

        Other kwargs are used to specify log field format strings.

        Parameters
        ----------
        json_serializer : Callable, optional
            function to serialize `obj` to a JSON formatted `str`, by default json.dumps
        json_deserializer : Callable, optional
            function to deserialize `str`, `bytes`, bytearray` containing a JSON document to a Python `obj`,
            by default json.loads
        json_default : Callable, optional
            function to coerce unserializable values, by default str

            Only used when no custom JSON encoder is set

        datefmt : str, optional
            String directives (strftime) to format log timestamp.

            See https://docs.python.org/3/library/time.html#time.strftime or
        use_datetime_directive: str, optional
            Interpret `datefmt` as a format string for `datetime.datetime.strftime`, rather than
            `time.strftime` - Only useful when used alongside `datefmt`.

            See https://docs.python.org/3/library/datetime.html#strftime-strptime-behavior . This
            also supports a custom %F directive for milliseconds.
        utc : bool, optional
            set logging timestamp to UTC, by default False to continue to use local time as per stdlib
        use_rfc3339: bool, optional
            Whether to use a popular dateformat that complies with both RFC3339 and ISO8601.
            e.g., 2022-10-27T16:27:43.738+02:00.
        log_record_order : list, optional
            set order of log keys when logging, by default ["level", "location", "message", "timestamp"]
        kwargs
            Key-value to be included in log messages

        """

        self.json_deserializer = json_deserializer or json.loads
        self.json_default = json_default or str
        self.json_indent = (
            constants.PRETTY_INDENT if powertools_dev_is_set() else constants.COMPACT_INDENT
        )  # indented json serialization when in AWS SAM Local
        self.json_serializer = json_serializer or partial(
            json.dumps,
            default=self.json_default,
            separators=(",", ":"),
            indent=self.json_indent,
            ensure_ascii=False,  # see #3474
        )

        self.datefmt = datefmt
        self.use_datetime_directive = use_datetime_directive

        self.utc = utc
        self.log_record_order = log_record_order or ["level", "location", "message", "timestamp"]
        self.log_format = dict.fromkeys(self.log_record_order)  # Set the insertion order for the log messages
        self.update_formatter = self.append_keys  # alias to old method
        self.use_rfc3339_iso8601 = use_rfc3339

        if self.utc:
            self.converter = time.gmtime
        else:
            self.converter = time.localtime

        self.keys_combined = {**self._build_default_keys(), **kwargs}
        self.log_format.update(**self.keys_combined)

        self.serialize_stacktrace = serialize_stacktrace

        super().__init__(datefmt=self.datefmt)

    def serialize(self, log: LogRecord) -> str:
        """Serialize structured log dict to JSON str"""
        return self.json_serializer(log)

    def format(self, record: logging.LogRecord) -> str:  # noqa: A003
        """Format logging record as structured JSON str"""
        formatted_log = self._extract_log_keys(log_record=record)
        formatted_log["message"] = self._extract_log_message(log_record=record)

        # exception and exception_name fields can be added as extra key
        # in any log level, we try to extract and use them first
        extracted_exception, extracted_exception_name = self._extract_log_exception(log_record=record)
        formatted_log["exception"] = formatted_log.get("exception", extracted_exception)
        formatted_log["exception_name"] = formatted_log.get("exception_name", extracted_exception_name)
        if self.serialize_stacktrace:
            # Generate the traceback from the traceback library
            formatted_log["stack_trace"] = self._serialize_stacktrace(log_record=record)
        formatted_log["xray_trace_id"] = self._get_latest_trace_id()
        formatted_log = self._strip_none_records(records=formatted_log)

        return self.serialize(log=formatted_log)

    def formatTime(self, record: logging.LogRecord, datefmt: Optional[str] = None) -> str:
        # As of Py3.7, we can infer milliseconds directly from any datetime
        # saving processing time as we can shortcircuit early
        # Maintenance: In V3, we (and Java) should move to this format by default
        # since we've provided enough time for those migrating from std logging
        if self.use_rfc3339_iso8601:
            if self.utc:
                ts_as_datetime = datetime.fromtimestamp(record.created, tz=timezone.utc)
            else:
                ts_as_datetime = datetime.fromtimestamp(record.created).astimezone()

            return ts_as_datetime.isoformat(timespec="milliseconds")  # 2022-10-27T17:42:26.841+0200

        # converts to local/UTC TZ as struct time
        record_ts = self.converter(record.created)

        if datefmt is None:  # pragma: no cover, it'll always be None in std logging, but mypy
            datefmt = self.datefmt

        # NOTE: Python `time.strftime` doesn't provide msec directives
        # so we create a custom one (%F) and replace logging record_ts
        # Reason 2 is that std logging doesn't support msec after TZ
        msecs = "%03d" % record.msecs

        # Datetime format codes is a superset of time format codes
        # therefore we only honour them if explicitly asked
        # by default, those migrating from std logging will use time format codes
        # https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes
        if self.use_datetime_directive and datefmt:
            # record.msecs are microseconds, divide by 1000 to get milliseconds
            timestamp = record.created + record.msecs / 1000

            if self.utc:
                dt = datetime.fromtimestamp(timestamp, tz=timezone.utc)
            else:
                dt = datetime.fromtimestamp(timestamp).astimezone()

            custom_fmt = datefmt.replace(self.custom_ms_time_directive, msecs)
            return dt.strftime(custom_fmt)

        # Only time format codes being used
        elif datefmt:
            custom_fmt = datefmt.replace(self.custom_ms_time_directive, msecs)
            return time.strftime(custom_fmt, record_ts)

        # Use default fmt: 2021-05-03 10:20:19,650+0200
        custom_fmt = self.default_time_format.replace(self.custom_ms_time_directive, msecs)
        return time.strftime(custom_fmt, record_ts)

    def append_keys(self, **additional_keys) -> None:
        self.log_format.update(additional_keys)

    def get_current_keys(self) -> Dict[str, Any]:
        return self.log_format

    def remove_keys(self, keys: Iterable[str]) -> None:
        for key in keys:
            self.log_format.pop(key, None)

    def clear_state(self) -> None:
        self.log_format = dict.fromkeys(self.log_record_order)
        self.log_format.update(**self.keys_combined)

    @staticmethod
    def _build_default_keys() -> Dict[str, str]:
        return {
            "level": "%(levelname)s",
            "location": "%(funcName)s:%(lineno)d",
            "timestamp": "%(asctime)s",
        }

    def _get_latest_trace_id(self) -> Optional[str]:
        xray_trace_id_key = self.log_format.get("xray_trace_id", "")
        if xray_trace_id_key is None:
            # key is explicitly disabled; ignore it. e.g., Logger(xray_trace_id=None)
            return None

        xray_trace_id = os.getenv(constants.XRAY_TRACE_ID_ENV)
        return xray_trace_id.split(";")[0].replace("Root=", "") if xray_trace_id else None

    def _extract_log_message(self, log_record: logging.LogRecord) -> Union[Dict[str, Any], str, bool, Iterable]:
        """Extract message from log record and attempt to JSON decode it if str

        Parameters
        ----------
        log_record : logging.LogRecord
            Log record to extract message from

        Returns
        -------
        message: Union[Dict, str, bool, Iterable]
            Extracted message
        """
        message = log_record.msg
        if isinstance(message, dict):
            return message

        if log_record.args:  # logger.info("foo %s", "bar") requires formatting
            return log_record.getMessage()

        if isinstance(message, str):  # could be a JSON string
            try:
                message = self.json_deserializer(message)
            except (json.decoder.JSONDecodeError, TypeError, ValueError):
                pass

        return message

    def _serialize_stacktrace(self, log_record: logging.LogRecord) -> LogStackTrace | None:
        if log_record.exc_info:
            exception_info: LogStackTrace = {
                "type": log_record.exc_info[0].__name__,  # type: ignore
                "value": log_record.exc_info[1],  # type: ignore
                "module": log_record.exc_info[1].__class__.__module__,
                "frames": [],
            }

            exception_info["frames"] = [
                {"file": fs.filename, "line": fs.lineno, "function": fs.name, "statement": fs.line}
                for fs in traceback.extract_tb(log_record.exc_info[2])
            ]

            return exception_info

        return None

    def _extract_log_exception(self, log_record: logging.LogRecord) -> Union[Tuple[str, str], Tuple[None, None]]:
        """Format traceback information, if available

        Parameters
        ----------
        log_record : logging.LogRecord
            Log record to extract message from

        Returns
        -------
        log_record: Optional[Tuple[str, str]]
            Log record with constant traceback info and exception name
        """
        if log_record.exc_info:
            return self.formatException(log_record.exc_info), log_record.exc_info[0].__name__  # type: ignore

        return None, None

    def _extract_log_keys(self, log_record: logging.LogRecord) -> Dict[str, Any]:
        """Extract and parse custom and reserved log keys

        Parameters
        ----------
        log_record : logging.LogRecord
            Log record to extract keys from

        Returns
        -------
        formatted_log: Dict
            Structured log as dictionary
        """
        record_dict = log_record.__dict__.copy()
        record_dict["asctime"] = self.formatTime(record=log_record)
        extras = {k: v for k, v in record_dict.items() if k not in RESERVED_LOG_ATTRS}

        formatted_log = {}

        # Iterate over a default or existing log structure
        # then replace any std log attribute e.g. '%(level)s' to 'INFO', '%(process)d to '4773'
        # lastly add or replace incoming keys (those added within the constructor or .structure_logs method)
        for key, value in self.log_format.items():
            if value and key in RESERVED_LOG_ATTRS:
                formatted_log[key] = value % record_dict
            else:
                formatted_log[key] = value

        formatted_log.update(**extras)
        return formatted_log

    @staticmethod
    def _strip_none_records(records: Dict[str, Any]) -> Dict[str, Any]:
        """Remove any key with None as value"""
        return {k: v for k, v in records.items() if v is not None}

Ancestors

• BasePowertoolsFormatter
• logging.Formatter

Subclasses

• DatadogLogFormatter

Class variables

var RFC3339_ISO8601_FORMAT

var custom_ms_time_directive

var default_time_format

Methods

def append_keys(self, **additional_keys) ‑> None

def format(self, record: logging.LogRecord) ‑> str

Format logging record as structured JSON str

def formatTime(self, record: logging.LogRecord, datefmt: Optional[str] = None) ‑> str

Return the creation time of the specified LogRecord as formatted text.

This method should be called from format() by a formatter which wants to make use of a formatted time. This method can be overridden in formatters to provide for any specific requirement, but the basic behaviour is as follows: if datefmt (a string) is specified, it is used with time.strftime() to format the creation time of the record. Otherwise, an ISO8601-like (or RFC 3339-like) format is used. The resulting string is returned. This function uses a user-configurable function to convert the creation time to a tuple. By default, time.localtime() is used; to change this for a particular formatter instance, set the 'converter' attribute to a function with the same signature as time.localtime() or time.gmtime(). To change it for all formatters, for example if you want all logging times to be shown in GMT, set the 'converter' attribute in the Formatter class.

def get_current_keys(self) ‑> Dict[str, Any]

def remove_keys(self, keys: Iterable[str]) ‑> None

def serialize(self, log: LogRecord)

Serialize structured log dict to JSON str

Inherited members

• BasePowertoolsFormatter:
  • clear_state