# Path: dftimewolf/lib/errors.py
# class DFTimewolfError(Exception):
# class BadConfigurationError(DFTimewolfError):
# class RecipeParseError(DFTimewolfError):
# class CommandLineParseError(DFTimewolfError):
# class CriticalError(DFTimewolfError):
#   def __init__(self,
#                message: Optional[str]=None,
#                name: Optional[str]=None,
#                stacktrace: Optional[str]=None,
#                critical: bool=False,
#                unexpected: bool=False) -> None:
# 
# Path: dftimewolf/lib/logging_utils.py
# def _GenerateTempLogFile() -> str:
# def _GenerateColorSequences() -> List[str]:
#   def success(self, *args: Any, **kwargs: Any) -> None:  # pylint: disable=invalid-name
#   def __init__(
#       self,
#       colorize: bool = True,
#       random_color: bool = False,
#       threaded: bool = False,
#       **kwargs: Any) -> None:
#   def format(self, record: LogRecord) -> str:
# DEFAULT_LOG_FILE = _GenerateTempLogFile()
# SUCCESS = 25  # 25 is right between INFO and WARNING
# COLOR_SEQS = _GenerateColorSequences()
# RESET_SEQ = '\u001b[0m'
# BLACK, RED, GREEN, YELLOW, BLUE, MAGENTA, CYAN, WHITE = COLOR_SEQS[8:16]
# BG_RED = '\u001b[41m'  # Red background
# BG_GREEN = '\u001b[42m'  # Green background
# BOLD = '\u001b[1m'  # Bold / bright modifier
# LOG_FORMAT = (
#     '[%(asctime)s] [{0:s}{color:s}%(name)-20s{1:s}] %(levelname)-8s'
#     ' %(message)s')
# LEVEL_COLOR_MAP = {
#     'WARNING': YELLOW,
#     'SUCCESS': BOLD + BG_GREEN + BLACK,
#     'INFO': WHITE,
#     'DEBUG': BLUE,
#     'CRITICAL': BOLD + BG_RED + WHITE,
#     'ERROR': RED
# }
# class WolfLogger(logging.getLoggerClass()):  # type: ignore
# class WolfFormatter(logging.Formatter):
# 
# Path: dftimewolf/lib/containers/interface.py
# class AttributeContainer():
#   CONTAINER_TYPE = None  # type: str
#   def __init__(self, attributes: Optional[List[Dict[str, Any]]] = None):
#   def GetAttributeNames(self) -> List[str]:


import abc
import logging
import traceback
import sys
from logging import handlers
from typing import Optional, TYPE_CHECKING, Type, cast, TypeVar, Dict, Any
from dftimewolf.lib import errors
from dftimewolf.lib import logging_utils
from dftimewolf.lib.containers import interface
  from dftimewolf.lib import state  # pylint: disable=cyclic-import
    state (DFTimewolfState): recipe state.
  """

  def __init__(self,
               state: "state.DFTimewolfState",
               name:Optional[str]=None,
               critical: Optional[bool]=False):
    """Initialize a module.

    Args:
      state (DFTimewolfState): recipe state.
      name (Optional[str]): A unique name for a specific instance of the module
          class. If not provided, will default to the module's class name.
      critical (Optional[bool]): True if the module is critical, which causes
          the entire recipe to fail if the module encounters an error.
    """
    super(BaseModule, self).__init__()
    self.name = name if name else self.__class__.__name__
    self.critical = critical
    self.state = state
    self.logger = cast(logging_utils.WolfLogger,
                       logging.getLogger(name=self.name))
    self.logger.propagate = False

    self.SetupLogging()

  def SetupLogging(self, threaded: bool = False) -> None:
    """Sets up stream and file logging for a specific module."""
    self.logger.setLevel(logging.DEBUG)


# Path: dftimewolf/lib/errors.py
# class DFTimewolfError(Exception):
# class BadConfigurationError(DFTimewolfError):
# class RecipeParseError(DFTimewolfError):
# class CommandLineParseError(DFTimewolfError):
# class CriticalError(DFTimewolfError):
#   def __init__(self,
#                message: Optional[str]=None,
#                name: Optional[str]=None,
#                stacktrace: Optional[str]=None,
#                critical: bool=False,
#                unexpected: bool=False) -> None:
# 
# Path: dftimewolf/lib/logging_utils.py
# def _GenerateTempLogFile() -> str:
# def _GenerateColorSequences() -> List[str]:
#   def success(self, *args: Any, **kwargs: Any) -> None:  # pylint: disable=invalid-name
#   def __init__(
#       self,
#       colorize: bool = True,
#       random_color: bool = False,
#       threaded: bool = False,
#       **kwargs: Any) -> None:
#   def format(self, record: LogRecord) -> str:
# DEFAULT_LOG_FILE = _GenerateTempLogFile()
# SUCCESS = 25  # 25 is right between INFO and WARNING
# COLOR_SEQS = _GenerateColorSequences()
# RESET_SEQ = '\u001b[0m'
# BLACK, RED, GREEN, YELLOW, BLUE, MAGENTA, CYAN, WHITE = COLOR_SEQS[8:16]
# BG_RED = '\u001b[41m'  # Red background
# BG_GREEN = '\u001b[42m'  # Green background
# BOLD = '\u001b[1m'  # Bold / bright modifier
# LOG_FORMAT = (
#     '[%(asctime)s] [{0:s}{color:s}%(name)-20s{1:s}] %(levelname)-8s'
#     ' %(message)s')
# LEVEL_COLOR_MAP = {
#     'WARNING': YELLOW,
#     'SUCCESS': BOLD + BG_GREEN + BLACK,
#     'INFO': WHITE,
#     'DEBUG': BLUE,
#     'CRITICAL': BOLD + BG_RED + WHITE,
#     'ERROR': RED
# }
# class WolfLogger(logging.getLoggerClass()):  # type: ignore
# class WolfFormatter(logging.Formatter):
# 
# Path: dftimewolf/lib/containers/interface.py
# class AttributeContainer():
#   CONTAINER_TYPE = None  # type: str
#   def __init__(self, attributes: Optional[List[Dict[str, Any]]] = None):
#   def GetAttributeNames(self) -> List[str]:


# Path: dftimewolf/lib/module.py
import abc
import logging
import traceback
import sys
from logging import handlers
from typing import Optional, TYPE_CHECKING, Type, cast, TypeVar, Dict, Any
from dftimewolf.lib import errors
from dftimewolf.lib import logging_utils
from dftimewolf.lib.containers import interface
  from dftimewolf.lib import state  # pylint: disable=cyclic-import

    state (DFTimewolfState): recipe state.
  """

  def __init__(self,
               state: "state.DFTimewolfState",
               name:Optional[str]=None,
               critical: Optional[bool]=False):
    """Initialize a module.

    Args:
      state (DFTimewolfState): recipe state.
      name (Optional[str]): A unique name for a specific instance of the module
          class. If not provided, will default to the module's class name.
      critical (Optional[bool]): True if the module is critical, which causes
          the entire recipe to fail if the module encounters an error.
    """
    super(BaseModule, self).__init__()
    self.name = name if name else self.__class__.__name__
    self.critical = critical
    self.state = state
    self.logger = cast(logging_utils.WolfLogger,
                       logging.getLogger(name=self.name))
    self.logger.propagate = False

    self.SetupLogging()

  def SetupLogging(self, threaded: bool = False) -> None:
    """Sets up stream and file logging for a specific module."""
    self.logger.setLevel(logging.DEBUG)


    file_handler = handlers.RotatingFileHandler(logging_utils.DEFAULT_LOG_FILE)