# 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, name=name, critical=critical)

    # The call to super.__init__ sets up the logger, but we want to change it
    # for threaded modules.
    self.logger.handlers.clear()
    self.SetupLogging(threaded=True)

  @abc.abstractmethod
  def PreProcess(self) -> None:
    """Carries out optional Process actions that only need to be performed
    once, regardless of the number of class instantiations. Called before
    Process."""

  # pylint: disable=arguments-differ
  @abc.abstractmethod
  def Process(self, container: interface.AttributeContainer) -> None:
    """Carry out a single process based on the input container. This will be
    run in parallel, based on the number of containers of the ThreadOn type,
    given by GetThreadOnContainerType(), up to GetThreadPoolSize() max
    simultaneous threads."""
  # pylint: enable=arguments-differ

  @abc.abstractmethod
  def PostProcess(self) -> None:
    """Carries out optional Process actions that only need to be performed
    once, regardless of the number of class instantiations. Called after
    Process."""

  @staticmethod
  @abc.abstractmethod

# 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, name=name, critical=critical)

    # The call to super.__init__ sets up the logger, but we want to change it
    # for threaded modules.
    self.logger.handlers.clear()
    self.SetupLogging(threaded=True)

  @abc.abstractmethod
  def PreProcess(self) -> None:
    """Carries out optional Process actions that only need to be performed
    once, regardless of the number of class instantiations. Called before
    Process."""

  # pylint: disable=arguments-differ
  @abc.abstractmethod
  def Process(self, container: interface.AttributeContainer) -> None:
    """Carry out a single process based on the input container. This will be
    run in parallel, based on the number of containers of the ThreadOn type,
    given by GetThreadOnContainerType(), up to GetThreadPoolSize() max
    simultaneous threads."""
  # pylint: enable=arguments-differ

  @abc.abstractmethod
  def PostProcess(self) -> None:
    """Carries out optional Process actions that only need to be performed
    once, regardless of the number of class instantiations. Called after
    Process."""

  @staticmethod
  @abc.abstractmethod

  def GetThreadOnContainerType() -> Type[interface.AttributeContainer]: