__methods

Functions to add in creating/working with the logging config classes in this module.

FileHandlerConfig dataclass

Bases: BaseHandlerConfig

Define a logging FileHandler.

Parameters:

Name	Type	Description	Default
filename	str	The name of the file to log messages to.	'app.log'

Source code in src/red_logging/config_classes/handlers/_handlers.py

@dataclass
class FileHandlerConfig(BaseHandlerConfig):
    """Define a logging FileHandler.

    Params:
        filename (str): The name of the file to log messages to.
    """

    filename: str | None = field(default="app.log")

    def get_configdict(self) -> dict[str, dict[str, str]]:
        """Return a dict representation of the handler described by this class."""
        handler_dict: dict[str, dict[str, str]] = {
            self.name: {
                "class": self.get_handler_class(),
                "level": self.level,
                "formatter": self.formatter,
                "filename": self.filename,
            }
        }
        return handler_dict

    def get_handler_class(self) -> str:
        """Return the logging handler class this class represents.

        Returns:
            (str): `logging.FileHandler`.

        """
        return "logging.FileHandler"

get_configdict()

Return a dict representation of the handler described by this class.

Source code in src/red_logging/config_classes/handlers/_handlers.py

def get_configdict(self) -> dict[str, dict[str, str]]:
    """Return a dict representation of the handler described by this class."""
    handler_dict: dict[str, dict[str, str]] = {
        self.name: {
            "class": self.get_handler_class(),
            "level": self.level,
            "formatter": self.formatter,
            "filename": self.filename,
        }
    }
    return handler_dict

get_handler_class()

Return the logging handler class this class represents.

Returns:

Type	Description
str	logging.FileHandler.

Source code in src/red_logging/config_classes/handlers/_handlers.py

def get_handler_class(self) -> str:
    """Return the logging handler class this class represents.

    Returns:
        (str): `logging.FileHandler`.

    """
    return "logging.FileHandler"

FormatterConfig dataclass

Bases: BaseLoggingConfig

Define a logging formatter.

Parameters:

Name	Type	Description	Default
name	str	The name of the formatter.	None
fmt	str	The string formatting to use for log messages.	MESSAGE_FMT_STANDARD
datefmt	str	The string formatting to use for log message timestamps.	DATE_FMT_STANDARD
style	str	The string substitution style to use for log formats. Default is %, which means formats need to be written like %(asctime)s %(levelname)s %(message)s. If you change this style, make sure the fmt you pass uses the correct formatting style.	'%'
validate	bool	When True, the configuration dict this formatter returns will be validated by the logging module.	True

Source code in src/red_logging/config_classes/formatters/_formatters.py

@dataclass
class FormatterConfig(BaseLoggingConfig):
    """Define a logging formatter.

    Params:
        name (str): The name of the formatter.
        fmt (str): The string formatting to use for log messages.
        datefmt (str): The string formatting to use for log message timestamps.
        style (str): The string substitution style to use for log formats. Default is `%`, which
            means formats need to be written like `%(asctime)s %(levelname)s %(message)s`. If
            you change this style, make sure the `fmt` you pass uses the correct formatting style.
        validate (bool): When `True`, the configuration dict this formatter returns will be validated by the logging module.

    """

    name: str = None
    fmt: str = MESSAGE_FMT_STANDARD
    datefmt: str = DATE_FMT_STANDARD
    style: str = "%"
    validate: bool = True

    def get_configdict(self) -> dict[str, dict[str, str]]:
        """Return a dict representation of the formatter described by this class."""
        formatter_dict: dict[str, dict[str, str]] = {self.name: {"format": self.fmt}}
        if self.datefmt:
            formatter_dict[self.name]["datefmt"] = self.datefmt
        if self.style:
            formatter_dict[self.name]["style"] = self.style
        formatter_dict[self.name]["validate"] = self.validate

        return formatter_dict

get_configdict()

Return a dict representation of the formatter described by this class.

Source code in src/red_logging/config_classes/formatters/_formatters.py

def get_configdict(self) -> dict[str, dict[str, str]]:
    """Return a dict representation of the formatter described by this class."""
    formatter_dict: dict[str, dict[str, str]] = {self.name: {"format": self.fmt}}
    if self.datefmt:
        formatter_dict[self.name]["datefmt"] = self.datefmt
    if self.style:
        formatter_dict[self.name]["style"] = self.style
    formatter_dict[self.name]["validate"] = self.validate

    return formatter_dict

LoggerConfig dataclass

Bases: BaseLoggingConfig

Define a logging Logger.

Parameters:

Name	Type	Description	Default
name	str	The name of the logger.	required
level	str	The level of log messages this logger should show (NOTSET, DEBUG, INFO, WARNING, ERROR, CRITICAL).	required
handlers	list[str]	List of handler names this logger should use. These handlers must exist in the logging dictConfig.	required
propagate	bool	If True, messages will be propagated up/down to the root logger.	False

Source code in src/red_logging/config_classes/loggers/_loggers.py

@dataclass
class LoggerConfig(BaseLoggingConfig):
    """Define a logging Logger.

    Params:
        name (str): The name of the logger.
        level (str): The level of log messages this logger should show (NOTSET, DEBUG, INFO, WARNING, ERROR, CRITICAL).
        handlers (list[str]): List of handler names this logger should use. These handlers must exist in the logging dictConfig.
        propagate (bool): If `True`, messages will be propagated up/down to the root logger.
    """

    name: str
    level: str
    handlers: list[str]
    propagate: bool = False

    def get_configdict(self) -> dict:
        """Return a dict representation of the logger described by this class."""
        logger_dict: dict[str, dict[str, t.Any]] = {
            self.name: {
                "level": self.level,
                "handlers": self.handlers,
                "propagate": self.propagate,
            }
        }
        return logger_dict

get_configdict()

Return a dict representation of the logger described by this class.

Source code in src/red_logging/config_classes/loggers/_loggers.py

def get_configdict(self) -> dict:
    """Return a dict representation of the logger described by this class."""
    logger_dict: dict[str, dict[str, t.Any]] = {
        self.name: {
            "level": self.level,
            "handlers": self.handlers,
            "propagate": self.propagate,
        }
    }
    return logger_dict

LoggerFactory

Generate loggers based on LoggerFactory's config.

Source code in src/red_logging/config_classes/loggers/_factory.py

class LoggerFactory:
    """Generate loggers based on LoggerFactory's config."""

    _LOG: logging.Logger | None = None

    @staticmethod
    def __create_logger(
        name: str,
        log_level: str,
        handlers: dict[str, dict],
        formatters: dict[str, dict],
        loggers: dict[str, dict],
    ) -> logging.Logger:
        """Create a logger cnofig from inputs.

        Params:
            name (str): The name of the logger.
            log_level (str): The log levels to show (NOTSET, DEBUG, INFO, WARNING, ERROR, CRITICAL).
            handlers (dict[str, dict[str, Any]]): A dict describing the handlers for this logger config.
            formatters (dict[str, dict[str, Any]]): A dict describing the formatters for this logger config.
            loggers (dict[str, dict[str, Any]]): A dict describing the loggers for this logger config.
        """
        log_level = log_level.upper()

        # Configure logging using dictConfig
        logging_config = {
            "version": 1,
            "handlers": handlers,
            "formatters": formatters,
            "loggers": loggers,
            "root": {
                "level": log_level,
                "handlers": list(handlers.keys()),
            },
        }

        try:
            logging.config.dictConfig(logging_config)
        except Exception as exc:
            msg = Exception(f"Unhandled exception configuring logger. Details: {exc}")
            # log.error(msg)

            raise msg

        # Get or create logger
        LoggerFactory._LOG = logging.getLogger(name)

        return LoggerFactory._LOG

    @staticmethod
    def get_logger(
        name: str,
        log_level: str,
        handlers: dict[str, dict],
        formatters: dict[str, dict],
        loggers: dict[str, dict],
    ) -> logging.Logger:
        """Initialize a logger.

        Params:
            name (str): The name of the logger.
            log_level (str): The log levels to show (NOTSET, DEBUG, INFO, WARNING, ERROR, CRITICAL).
            handlers (dict[str, dict[str, Any]]): A dict describing the handlers for this logger config.
            formatters (dict[str, dict[str, Any]]): A dict describing the formatters for this logger config.
            loggers (dict[str, dict[str, Any]]): A dict describing the loggers for this logger config.
        """
        logger = LoggerFactory.__create_logger(
            name=name,
            log_level=log_level,
            handlers=handlers,
            formatters=formatters,
            loggers=loggers,
        )

        return logger

get_logger(name, log_level, handlers, formatters, loggers) staticmethod

Initialize a logger.

Parameters:

Name	Type	Description	Default
name	str	The name of the logger.	required
log_level	str	The log levels to show (NOTSET, DEBUG, INFO, WARNING, ERROR, CRITICAL).	required
handlers	dict[str, dict[str, Any]]	A dict describing the handlers for this logger config.	required
formatters	dict[str, dict[str, Any]]	A dict describing the formatters for this logger config.	required
loggers	dict[str, dict[str, Any]]	A dict describing the loggers for this logger config.	required

Source code in src/red_logging/config_classes/loggers/_factory.py

@staticmethod
def get_logger(
    name: str,
    log_level: str,
    handlers: dict[str, dict],
    formatters: dict[str, dict],
    loggers: dict[str, dict],
) -> logging.Logger:
    """Initialize a logger.

    Params:
        name (str): The name of the logger.
        log_level (str): The log levels to show (NOTSET, DEBUG, INFO, WARNING, ERROR, CRITICAL).
        handlers (dict[str, dict[str, Any]]): A dict describing the handlers for this logger config.
        formatters (dict[str, dict[str, Any]]): A dict describing the formatters for this logger config.
        loggers (dict[str, dict[str, Any]]): A dict describing the loggers for this logger config.
    """
    logger = LoggerFactory.__create_logger(
        name=name,
        log_level=log_level,
        handlers=handlers,
        formatters=formatters,
        loggers=loggers,
    )

    return logger

QueueHandlerConfig dataclass

Bases: BaseHandlerConfig

Define a logging QueueHandler.

Parameters:

Name	Type	Description	Default
queue	Queue	The queue to send log messages to.	None

Source code in src/red_logging/config_classes/handlers/_handlers.py

@dataclass
class QueueHandlerConfig(BaseHandlerConfig):
    """Define a logging QueueHandler.

    Params:
        queue (queue.Queue): The queue to send log messages to.
    """

    queue: Queue = field(default=None)

    def get_configdict(self) -> dict[str, dict[str, t.Any]]:
        """Return a dict representation of the handler described by this class."""
        handler_dict: dict[str, dict[str, t.Any]] = {
            self.name: {
                "class": self.get_handler_class(),
                "level": self.level,
                "formatter": self.formatter,
                "queue": self.queue,
            }
        }
        return handler_dict

    def get_handler_class(self) -> str:
        """Return the logging handler class this class represents.

        Returns:
            (str): `logging.handlers.QueueHandler`.

        """
        return "logging.handlers.QueueHandler"

get_configdict()

Return a dict representation of the handler described by this class.

Source code in src/red_logging/config_classes/handlers/_handlers.py

def get_configdict(self) -> dict[str, dict[str, t.Any]]:
    """Return a dict representation of the handler described by this class."""
    handler_dict: dict[str, dict[str, t.Any]] = {
        self.name: {
            "class": self.get_handler_class(),
            "level": self.level,
            "formatter": self.formatter,
            "queue": self.queue,
        }
    }
    return handler_dict

get_handler_class()

Return the logging handler class this class represents.

Returns:

Type	Description
str	logging.handlers.QueueHandler.

Source code in src/red_logging/config_classes/handlers/_handlers.py

def get_handler_class(self) -> str:
    """Return the logging handler class this class represents.

    Returns:
        (str): `logging.handlers.QueueHandler`.

    """
    return "logging.handlers.QueueHandler"

QueueListenerConfig dataclass

Bases: BaseLoggingConfig

Define a logging QueueListener.

Parameters:

Name	Type	Description	Default
name	str	The name of the handler.	required
queue	Queue	The queue to listen for log messages in.	required
handlers	list[str]	List of handler names to apply to this listener.	required

Source code in src/red_logging/config_classes/handlers/_handlers.py

@dataclass
class QueueListenerConfig(BaseLoggingConfig):
    """Define a logging QueueListener.

    Params:
        name (str): The name of the handler.
        queue (queue.Queue): The queue to listen for log messages in.
        handlers (list[str]): List of handler names to apply to this listener.

    """

    name: str
    queue: Queue
    handlers: list

    def get_configdict(self) -> dict[str, dict[str, t.Any]]:
        """Return a dict representation of the handler described by this class."""
        listener_dict: dict[str, dict[str, t.Any]] = {
            self.name: {
                "class": self.get_handler_class(),
                "queue": self.queue,
                "handlers": self.handlers,
            }
        }
        return listener_dict

    def get_handler_class(self) -> str:
        """Return the logging handler class this class represents.

        Returns:
            (str): `logging.handlers.QueueListener`.

        """
        return "logging.handleres.QueueListener"

get_configdict()

Return a dict representation of the handler described by this class.

Source code in src/red_logging/config_classes/handlers/_handlers.py

def get_configdict(self) -> dict[str, dict[str, t.Any]]:
    """Return a dict representation of the handler described by this class."""
    listener_dict: dict[str, dict[str, t.Any]] = {
        self.name: {
            "class": self.get_handler_class(),
            "queue": self.queue,
            "handlers": self.handlers,
        }
    }
    return listener_dict

get_handler_class()

Return the logging handler class this class represents.

Returns:

Type	Description
str	logging.handlers.QueueListener.

Source code in src/red_logging/config_classes/handlers/_handlers.py

def get_handler_class(self) -> str:
    """Return the logging handler class this class represents.

    Returns:
        (str): `logging.handlers.QueueListener`.

    """
    return "logging.handleres.QueueListener"

RotatingFileHandlerConfig dataclass

Bases: BaseHandlerConfig

Define a logging RotatingFileHandler.

Parameters:

Name	Type	Description	Default
filename	str | None	The name/path of the file to log messages to.	'app.log'
maxBytes	int	The maximum size of the file (in bytes) before a new file is rotated.	0
backupCount	int	Number of rotated log files to keep.	0

Source code in src/red_logging/config_classes/handlers/_handlers.py

@dataclass
class RotatingFileHandlerConfig(BaseHandlerConfig):
    """Define a logging RotatingFileHandler.

    Params:
        filename (str | None): The name/path of the file to log messages to.
        maxBytes (int): The maximum size of the file (in bytes) before a new file is rotated.
        backupCount (int): Number of rotated log files to keep.

    """

    filename: str | None = field(default="app.log")
    maxBytes: int = 0
    backupCount: int = 0

    def get_configdict(self) -> dict[str, dict[str, t.Any]]:
        """Return a dict representation of the handler described by this class."""
        handler_dict: dict[str, dict[str, t.Any]] = {
            self.name: {
                "class": self.get_handler_class(),
                "level": self.level,
                "formatter": self.formatter,
                "filename": f"{self.filename}",
                "maxBytes": self.maxBytes,
                "backupCount": self.backupCount,
            }
        }
        return handler_dict

    def get_handler_class(self) -> str:
        """Return the logging handler class this class represents.

        Returns:
            (str): `logging.RotatingFileHandler`.

        """
        return "logging.handlers.RotatingFileHandler"

get_configdict()

Return a dict representation of the handler described by this class.

Source code in src/red_logging/config_classes/handlers/_handlers.py

def get_configdict(self) -> dict[str, dict[str, t.Any]]:
    """Return a dict representation of the handler described by this class."""
    handler_dict: dict[str, dict[str, t.Any]] = {
        self.name: {
            "class": self.get_handler_class(),
            "level": self.level,
            "formatter": self.formatter,
            "filename": f"{self.filename}",
            "maxBytes": self.maxBytes,
            "backupCount": self.backupCount,
        }
    }
    return handler_dict

get_handler_class()

Return the logging handler class this class represents.

Returns:

Type	Description
str	logging.RotatingFileHandler.

Source code in src/red_logging/config_classes/handlers/_handlers.py

def get_handler_class(self) -> str:
    """Return the logging handler class this class represents.

    Returns:
        (str): `logging.RotatingFileHandler`.

    """
    return "logging.handlers.RotatingFileHandler"

SocketHandlerConfig dataclass

Bases: BaseHandlerConfig

Define a logging SocketHandler.

Parameters:

Name	Type	Description	Default
host	str	Host IP/FQDN.	'localhost'
port	int	Host port where log messages should be sent.	0

Source code in src/red_logging/config_classes/handlers/_handlers.py

@dataclass
class SocketHandlerConfig(BaseHandlerConfig):
    """Define a logging SocketHandler.

    Params:
        host (str): Host IP/FQDN.
        port (int): Host port where log messages should be sent.
    """

    host: str = "localhost"
    port: int = 0

    def get_configdict(self) -> dict[str, dict[str, t.Any]]:
        """Return a dict representation of the handler described by this class."""
        handler_dict: dict[str, dict[str, t.Any]] = {
            self.name: {
                "class": self.get_handler_class(),
                "level": self.level,
                "formatter": self.formatter,
                "host": self.host,
                "port": self.port,
            }
        }
        return handler_dict

    def get_handler_class(self) -> str:
        """Return the logging handler class this class represents.

        Returns:
            (str): `logging.handlers.SocketHandler`.

        """
        return "logging.handlers.SocketHandler"

get_configdict()

Return a dict representation of the handler described by this class.

Source code in src/red_logging/config_classes/handlers/_handlers.py

def get_configdict(self) -> dict[str, dict[str, t.Any]]:
    """Return a dict representation of the handler described by this class."""
    handler_dict: dict[str, dict[str, t.Any]] = {
        self.name: {
            "class": self.get_handler_class(),
            "level": self.level,
            "formatter": self.formatter,
            "host": self.host,
            "port": self.port,
        }
    }
    return handler_dict

get_handler_class()

Return the logging handler class this class represents.

Returns:

Type	Description
str	logging.handlers.SocketHandler.

Source code in src/red_logging/config_classes/handlers/_handlers.py

def get_handler_class(self) -> str:
    """Return the logging handler class this class represents.

    Returns:
        (str): `logging.handlers.SocketHandler`.

    """
    return "logging.handlers.SocketHandler"

StreamHandlerConfig dataclass

Bases: BaseHandlerConfig

Define a logging StreamHandler.

Parameters:

Name	Type	Description	Default
stream	Any	The stream this handler controls, i.e. ext://sys.stdout, ext://sys.stderr, etc.	'ext://sys.stdout'

Source code in src/red_logging/config_classes/handlers/_handlers.py

@dataclass
class StreamHandlerConfig(BaseHandlerConfig):
    """Define a logging StreamHandler.

    Params:
        stream (Any): The stream this handler controls, i.e. `ext://sys.stdout`, `ext://sys.stderr`, etc.
    """

    level: str = "DEBUG"
    stream: t.Any | None = "ext://sys.stdout"

    def get_configdict(self) -> dict[str, dict[str, str]]:
        """Return a dict representation of the handler described by this class."""
        handler_dict: dict[str, dict[str, str]] = {
            self.name: {
                "class": self.get_handler_class(),
                "level": self.level,
                "formatter": self.formatter,
                "stream": self.stream,
            }
        }
        if self.filters:
            handler_dict["filters"] = self.filters
        return handler_dict

    def get_handler_class(self) -> str:
        """Return the logging handler class this class represents.

        Returns:
            (str): `logging.StreamHandler`.

        """
        return "logging.StreamHandler"

get_configdict()

Return a dict representation of the handler described by this class.

Source code in src/red_logging/config_classes/handlers/_handlers.py

def get_configdict(self) -> dict[str, dict[str, str]]:
    """Return a dict representation of the handler described by this class."""
    handler_dict: dict[str, dict[str, str]] = {
        self.name: {
            "class": self.get_handler_class(),
            "level": self.level,
            "formatter": self.formatter,
            "stream": self.stream,
        }
    }
    if self.filters:
        handler_dict["filters"] = self.filters
    return handler_dict

get_handler_class()

Return the logging handler class this class represents.

Returns:

Type	Description
str	logging.StreamHandler.

Source code in src/red_logging/config_classes/handlers/_handlers.py

def get_handler_class(self) -> str:
    """Return the logging handler class this class represents.

    Returns:
        (str): `logging.StreamHandler`.

    """
    return "logging.StreamHandler"

TimedRotatingFileHandlerConfig dataclass

Bases: BaseHandlerConfig

Define a logging TimedRotatingFileHandler.

Parameters:

Name	Type	Description	Default
filename	str	The name/path of the file to log messages to.	'app.log'
when	str	Time of day to rotate log files, i.e. midnight.	'midnight'
interval	int	When to rotate the file as the interval defined in when occurs. 1=every occurrence, 2=every other occurrence, etc.	1
backupCount	int	The number of rotated log files to save.	0

Source code in src/red_logging/config_classes/handlers/_handlers.py

@dataclass
class TimedRotatingFileHandlerConfig(BaseHandlerConfig):
    """Define a logging TimedRotatingFileHandler.

    Params:
        filename (str): The name/path of the file to log messages to.
        when (str): Time of day to rotate log files, i.e. `midnight`.
        interval (int): When to rotate the file as the interval defined in `when` occurs.
            `1=every occurrence`, `2=every other occurrence`, etc.
        backupCount (int): The number of rotated log files to save.
    """

    filename: str | None = field(default="app.log")
    when: str | None = field(default="midnight")
    interval: int = 1
    backupCount: int = 0

    def get_configdict(self) -> dict[str, dict[str, t.Any]]:
        """Return a dict representation of the handler described by this class."""
        handler_dict: dict[str, dict[str, t.Any]] = {
            self.name: {
                "class": self.get_handler_class(),
                "level": self.level,
                "formatter": self.formatter,
                "filename": self.filename,
                "when": self.when,
                "interval": self.interval,
                "backupCount": self.backupCount,
            }
        }
        return handler_dict

    def get_handler_class(self) -> str:
        """Return the logging handler class this class represents.

        Returns:
            (str): `logging.handlers.TimedRotatingFileHandler`.

        """
        return "logging.handlers.TimedRotatingFileHandler"

get_configdict()

Return a dict representation of the handler described by this class.

Source code in src/red_logging/config_classes/handlers/_handlers.py

def get_configdict(self) -> dict[str, dict[str, t.Any]]:
    """Return a dict representation of the handler described by this class."""
    handler_dict: dict[str, dict[str, t.Any]] = {
        self.name: {
            "class": self.get_handler_class(),
            "level": self.level,
            "formatter": self.formatter,
            "filename": self.filename,
            "when": self.when,
            "interval": self.interval,
            "backupCount": self.backupCount,
        }
    }
    return handler_dict

get_handler_class()

Return the logging handler class this class represents.

Returns:

Type	Description
str	logging.handlers.TimedRotatingFileHandler.

Source code in src/red_logging/config_classes/handlers/_handlers.py

def get_handler_class(self) -> str:
    """Return the logging handler class this class represents.

    Returns:
        (str): `logging.handlers.TimedRotatingFileHandler`.

    """
    return "logging.handlers.TimedRotatingFileHandler"

assemble_configdict(disable_existing_loggers=False, propagate=False, root_handlers=['console'], root_level='DEBUG', formatters=None, handlers=None, loggers=None)

Build a logging dictConfig dict.

Description

logging_config: dict = {
    "version": 1,
    "disable_existing_loggers": False,
    "propagate": True,
    "root": {},
    "formatters": {},
    "handlers": {},
    "loggers": {},
}

Parameters:

Name	Type	Description	Default
disable_existing_loggers	bool	When True, disables all currently configured loggers to "start fresh."	False
propagate	bool	When True, log messages will propagate up/down to the root logger.	False
root_handlers	list[str]	List of handlers for the root logger. These handler configs must exist in the logging dictConfig.	['console']
root_level	str	The log level for the root logger.	'DEBUG'
formatters	list[FormatterConfig] | list[dict[str, dict[str, Any]]] | None	List of logging formatter config objects.	None
handlers	list[BaseHandlerConfig | dict[str, dict[str, Any]]] | None	List of logging handler config objects.	None
loggers	list[LoggerConfig | LoggerFactory | dict[str, dict[str, t.Any]]]] | None	List of logging logger config objects.	None

Returns:

Type	Description
dict[str, Any]	An initialized logging config dict created from inputs. Used with logging.config.dictConfig()

Source code in src/red_logging/__methods.py

def assemble_configdict(
    disable_existing_loggers: bool = False,
    propagate: bool = False,
    root_handlers: list[str] = ["console"],
    root_level: str = "DEBUG",
    formatters: (
        t.Union[list[FormatterConfig], list[LOGGING_CONFIG_DICT_TYPE_ANNOTATION]] | None
    ) = None,
    handlers: (
        t.Union[HANDLER_CLASSES_TYPE_ANNOTATION, LOGGING_CONFIG_DICT_TYPE_ANNOTATION]
        | None
    ) = None,
    loggers: (
        t.Union[
            list[t.Union[LoggerConfig, LoggerFactory]],
            list[LOGGING_CONFIG_DICT_TYPE_ANNOTATION],
        ]
        | None
    ) = None,
) -> dict[str, t.Any]:
    """Build a logging dictConfig dict.

    Description:
        ```python title="Example logging config dict" linenums="1"
        logging_config: dict = {
            "version": 1,
            "disable_existing_loggers": False,
            "propagate": True,
            "root": {},
            "formatters": {},
            "handlers": {},
            "loggers": {},
        }
        ```

    Params:
        disable_existing_loggers (bool): When `True`, disables all currently configured loggers to "start fresh."
        propagate (bool): When `True`, log messages will propagate up/down to the root logger.
        root_handlers (list[str]): List of handlers for the root logger. These handler configs must exist in the logging dictConfig.
        root_level (str): The log level for the root logger.
        formatters (list[FormatterConfig] | list[dict[str, dict[str, t.Any]]] | None): List of logging formatter config objects.
        handlers (list[BaseHandlerConfig | dict[str, dict[str, t.Any]]] | None): List of logging handler config objects.
        loggers (list[LoggerConfig | LoggerFactory | dict[str, dict[str, t.Any]]]] | None): List of logging logger config objects.

    Returns:
        (dict[str, Any]): An initialized logging config dict created from inputs. Used with `logging.config.dictConfig()`

    """
    ## Get base logging configDict object, with empty formatters, loggers, etc
    logging_config: dict[str, t.Any] = BASE_LOGGING_CONFIG_DICT

    ## Set logging config options
    logging_config["disable_existing_loggers"] = disable_existing_loggers
    logging_config["propagate"] = propagate

    ## Build root logger
    config_key_root = {
        ## Set handlers
        "handlers": root_handlers,
        ## Set log level string
        "level": root_level.upper(),
    }

    ## Update config dict's `root` key
    logging_config["root"] = config_key_root

    ## Initialize formatter, handler, logger config dicts
    formatter_configdicts: LOGGING_CONFIG_DICT_TYPE = {}
    handler_configdicts: LOGGING_CONFIG_DICT_TYPE = {}
    logger_configdicts: LOGGING_CONFIG_DICT_TYPE = {}

    if formatters is not None:
        ## Formatters passed to function, parse and add to config
        for formatter_dict in formatters:
            if isinstance(formatter_dict, dict):
                pass
            elif isinstance(formatter_dict, FormatterConfig):
                try:
                    formatter_dict: dict = formatter_dict.get_configdict()
                except Exception as exc:
                    msg = Exception(
                        f"Unhandled exception getting config dict for FormatterConfig object. Details: {exc}"
                    )
                    log.error(msg)

                    raise exc

            formatter_configdicts.update(formatter_dict)

    if handlers is not None:
        ## Handlers passed to function, parse and add to config
        for handler_dict in handlers:
            if isinstance(handler_dict, dict):
                pass
            elif isinstance(handler_dict, HANDLER_CLASSES_TYPE):
                try:
                    handler_dict = handler_dict.get_configdict()
                except Exception as exc:
                    msg = Exception(
                        f"Unhandled exception getting config dict for *HandlerConfig object. Details: {exc}"
                    )
                    log.error(msg)

                    raise exc

            handler_configdicts.update(handler_dict)

    if loggers:
        ## Loggers passed to function, parse and add to config
        for logger_dict in loggers:
            if isinstance(logger_dict, dict):
                pass
            elif isinstance(logger_dict, LoggerConfig):
                try:
                    logger_dict = logger_dict.get_configdict()
                except Exception as exc:
                    msg = Exception(
                        f"Unhandled exception getting config dict for LoggerConfig object. Details: {exc}"
                    )
                    log.error(msg)

                    raise exc

            logger_configdicts.update(logger_dict)

    ## Create a copy of the original config
    try:
        return_dict = deepcopy(logging_config)
    except Exception as exc:
        msg = Exception(
            f"Unhandled exception copying original logging config. Proceeding with original logging config"
        )
        log.warning(msg)

        return_dict = logging_config

    ## Update formatters, handlers, loggers in logging config copy
    return_dict["formatters"] = formatter_configdicts
    return_dict["handlers"] = handler_configdicts
    return_dict["loggers"] = logger_configdicts

    ## Return initialized logging config
    return return_dict

get_formatter_config(name='default', fmt=MESSAGE_FMT_STANDARD, datefmt=DATE_FMT_STANDARD, style='%', validate=True, as_dict=False)

Return a FormatterConfig, or a dict representing a Formatter.

Parameters:

Name	Type	Description	Default
name	str	The name for the formatter. Reference this formatter by name in a LoggerConfig.	'default'
fmt	str	The string format for log messages. Python docs: Log Record Attributes	MESSAGE_FMT_STANDARD
datefmt	str	The format for log message timestamps, if %(asctime)s is used in the logging fmt.	DATE_FMT_STANDARD
style	str	The style of string substitution to use for the formatter. Options include % for '%', some_var, { for '{some_var}, etc.	'%'
validate	bool	If True, the handler will be validated by the logging module before fully initializing.	True
as_dict	bool	If True, return the configuration as a dict that can be joined into dictConfig().	False

Returns:

Type	Description
dict[str, dict[str, Any]]	If as_dict=True, return a config dict instead of a FormatterConfig object.
FormatterConfig	If as_dict=False, return a FormatterConfig object.

Source code in src/red_logging/__methods.py

def get_formatter_config(
    name: str = "default",
    fmt: str = MESSAGE_FMT_STANDARD,
    datefmt: str = DATE_FMT_STANDARD,
    style: str = "%",
    validate: bool = True,
    as_dict: bool = False,
) -> dict[str, dict[str, str]] | FormatterConfig:
    """Return a FormatterConfig, or a dict representing a Formatter.

    Params:
        name (str): The name for the formatter. Reference this formatter by name in a LoggerConfig.
        fmt (str): The string format for log messages.
            [Python docs: Log Record Attributes](https://docs.python.org/3/library/logging.html#logrecord-attributes)
        datefmt (str): The format for log message timestamps, if `%(asctime)s` is used in the logging `fmt`.
        style (str): The style of string substitution to use for the formatter. Options include `%` for `'%', some_var`,
            `{` for `'{some_var}`, etc.
        validate (bool): If `True`, the handler will be validated by the logging module before fully initializing.
        as_dict (bool): If `True`, return the configuration as a dict that can be joined into `dictConfig()`.

    Returns:
        (dict[str, dict[str, Any]]): If `as_dict=True`, return a config dict instead of a FormatterConfig object.
        (FormatterConfig): If `as_dict=False`, return a FormatterConfig object.

    """
    try:
        ## Initialize formatter object
        _formatter: FormatterConfig = FormatterConfig(
            name=name, fmt=fmt, datefmt=datefmt, style=style, validate=validate
        )

        if as_dict:
            ## Return formatter representation as a dict
            return _formatter.get_configdict()
        else:
            ## Return FormatterConfig object
            return _formatter
    except Exception as exc:
        msg = Exception(f"Unhandled exception building FormatterConfig. Details: {exc}")
        log.error(msg)

        raise exc

get_logger_config(name='app', handlers=['console'], level='DEBUG', propagate=False, as_dict=False)

Return a LoggerConfig, or a dict representing a Logger.

Parameters:

Name	Type	Description	Default
name	str	The name for the logger. Reference this logger by name in a LoggerConfig.	'app'
level	str	The logging level for this handler (NOTSET, DEBUG, INFO, WARNING, ERROR, CRITICAL).	'DEBUG'
handlers	list[str]	List of handler names that exist in the logging configDict that this logger should use.	['console']
propagate	bool	If True, log messages will be propagated up/down to the root logger.	False
as_dict	bool	If True, return the configuration as a dict that can be joined into dictConfig().	False

Returns:

Type	Description
dict[str, dict[str, Any]]	If as_dict=True, return a config dict instead of a RotatingFileHandlerConfig object.
RotatingFileHandlerConfig	If as_dict=False, return a RotatingFileHandlerConfig object.

Source code in src/red_logging/__methods.py

def get_logger_config(
    name: str = "app",
    handlers: list[str] = ["console"],
    level: str = "DEBUG",
    propagate: bool = False,
    as_dict: bool = False,
) -> dict[str, dict[str, str]] | LoggerConfig:
    """Return a LoggerConfig, or a dict representing a Logger.

    Params:
        name (str): The name for the logger. Reference this logger by name in a LoggerConfig.
        level (str): The logging level for this handler (NOTSET, DEBUG, INFO, WARNING, ERROR, CRITICAL).
        handlers (list[str]): List of handler names that exist in the logging configDict that this logger should use.
        propagate (bool): If `True`, log messages will be propagated up/down to the root logger.
        as_dict (bool): If `True`, return the configuration as a dict that can be joined into `dictConfig()`.

    Returns:
        (dict[str, dict[str, Any]]): If `as_dict=True`, return a config dict instead of a RotatingFileHandlerConfig object.
        (RotatingFileHandlerConfig): If `as_dict=False`, return a RotatingFileHandlerConfig object.

    """
    try:
        ## Initialize logger object
        _logger: LoggerConfig = LoggerConfig(
            name=name, level=level.upper(), handlers=handlers, propagate=propagate
        )

        if as_dict:
            ## Return logger representation as a dict
            return _logger.get_configdict()
        else:
            ## Return LoggerConfig object
            return _logger

    except Exception as exc:
        msg = Exception(f"Unhandled exception initializing logger. Details: {exc}")
        log.error(msg)

        raise exc

get_rotatingfilehandler_config(name='rotating_app_file', level='DEBUG', formatter='default', filters=None, filename=None, maxBytes=100000, backupCount=3, as_dict=False)

Return a RotatingFileHandlerConfig, or a dict representing a RotatingFileHandler.

Parameters:

Name	Type	Description	Default
name	str	The name for the rotating file handler. Reference this handler by name in a LoggerConfig.	'rotating_app_file'
level	str	The logging level for this handler (NOTSET, DEBUG, INFO, WARNING, ERROR, CRITICAL).	'DEBUG'
formatter	str	The name of a formatter that exists in the overall logging dictConfig.	'default'
filters	list[str] | None	A list of function names for logging filters.	None
filename	str | Path	The full path to the log file you want to create. If parent directories do not exist, this method will handle creating them.	None
maxBytes	int	The maximum size (in bytes) before a logfile is rotated.	100000
backupCount	int	The number of backups to keep as log files rotate.	3
as_dict	bool	If True, return the configuration as a dict that can be joined into dictConfig().	False

Returns:

Type	Description
dict[str, dict[str, Any]]	If as_dict=True, return a config dict instead of a RotatingFileHandlerConfig object.
RotatingFileHandlerConfig	If as_dict=False, return a RotatingFileHandlerConfig object.

Source code in src/red_logging/__methods.py

def get_rotatingfilehandler_config(
    name: str = "rotating_app_file",
    level: str = "DEBUG",
    formatter: str = "default",
    filters: list | None = None,
    filename: t.Union[str, Path] = None,
    maxBytes: int = 100000,
    backupCount: int = 3,
    as_dict: bool = False,
) -> dict[str, dict[str, t.Any]] | RotatingFileHandlerConfig:
    """Return a RotatingFileHandlerConfig, or a dict representing a RotatingFileHandler.

    Params:
        name (str): The name for the rotating file handler. Reference this handler by name in a LoggerConfig.
        level (str): The logging level for this handler (NOTSET, DEBUG, INFO, WARNING, ERROR, CRITICAL).
        formatter (str): The name of a formatter that exists in the overall logging dictConfig.
        filters (list[str] | None): A list of function names for logging filters.
        filename (str | Path): The full path to the log file you want to create. If parent directories do not exist,
            this method will handle creating them.
        maxBytes (int): The maximum size (in bytes) before a logfile is rotated.
        backupCount (int): The number of backups to keep as log files rotate.
        as_dict (bool): If `True`, return the configuration as a dict that can be joined into `dictConfig()`.

    Returns:
        (dict[str, dict[str, Any]]): If `as_dict=True`, return a config dict instead of a RotatingFileHandlerConfig object.
        (RotatingFileHandlerConfig): If `as_dict=False`, return a RotatingFileHandlerConfig object.

    """
    ## Convert & optionally expand input path
    filename: Path = Path(f"{filename}")
    if "~" in f"{filename}":
        filename = filename.expanduser()

    ## Create parent dirs for logging file, if they don't exist
    _ensure_logdir(p=filename.parent)

    try:
        ## Initialize handler object
        _handler: RotatingFileHandlerConfig = RotatingFileHandlerConfig(
            name=name,
            level=level,
            formatter=formatter,
            filters=filters,
            filename=filename,
            maxBytes=maxBytes,
            backupCount=backupCount,
        )

        if as_dict:
            ## Return handler representation as a dict
            return _handler.get_configdict()
        else:
            ## Return RotatingFileHandlerConfig object
            return _handler

    except Exception as exc:
        msg = Exception(
            f"Unhandled exception building RotatingFileHandlerConfig. Details: {exc}"
        )
        log.error(msg)

        raise exc

get_streamhandler_config(name='console', level='INFO', formatter='default', filters=None, stream='ext://sys.stdout', as_dict=False)

Return a StreamHandlerConfig, or a dict representing a StreamingHandler.

Parameters:

Name	Type	Description	Default
name	str	The name for the stream handler. Reference this handler by name in a LoggerConfig.	'console'
level	str	The logging level for this handler (NOTSET, DEBUG, INFO, WARNING, ERROR, CRITICAL).	'INFO'
formatter	str	The name of a formatter that exists in the overall logging dictConfig.	'default'
filters	list[str] | None	A list of function names for logging filters.	None
stream	str	The stream this handler should use, i.e. ext://sys.stdout, ext://sys.stderr, etc.	'ext://sys.stdout'
as_dict	bool	If True, return the configuration as a dict that can be joined into dictConfig().	False

Returns:

Type	Description
dict[str, dict[str, Any]]	If as_dict=True, return a config dict instead of a StreamHandlerConfig object.
StreamHandlerConfig	If as_dict=False, return a StreamHandlerConfig object.

Source code in src/red_logging/__methods.py

def get_streamhandler_config(
    name: str = "console",
    level: str = "INFO",
    formatter: str = "default",
    filters: list | None = None,
    stream: str = "ext://sys.stdout",
    as_dict: bool = False,
) -> dict[str, dict[str, str]] | StreamHandlerConfig:
    """Return a StreamHandlerConfig, or a dict representing a StreamingHandler.

    Params:
        name (str): The name for the stream handler. Reference this handler by name in a LoggerConfig.
        level (str): The logging level for this handler (NOTSET, DEBUG, INFO, WARNING, ERROR, CRITICAL).
        formatter (str): The name of a formatter that exists in the overall logging dictConfig.
        filters (list[str] | None): A list of function names for logging filters.
        stream (str): The stream this handler should use, i.e. `ext://sys.stdout`, `ext://sys.stderr`, etc.
        as_dict (bool): If `True`, return the configuration as a dict that can be joined into `dictConfig()`.

    Returns:
        (dict[str, dict[str, Any]]): If `as_dict=True`, return a config dict instead of a StreamHandlerConfig object.
        (StreamHandlerConfig): If `as_dict=False`, return a StreamHandlerConfig object.

    """
    try:
        ## Initialize handler object
        _handler: StreamHandlerConfig = StreamHandlerConfig(
            name=name, level=level, formatter=formatter, filters=filters, stream=stream
        )

        if as_dict:
            ## Return handler representation as a dict
            return _handler.get_configdict()
        else:
            ## Return StreamHandlerConfig object
            return _handler

    except Exception as exc:
        msg = Exception(
            f"Unhandled exception building StreamHandlerConfig. Details: {exc}"
        )
        log.error(msg)

        raise exc