# Path: dftimewolf/lib/errors.py
# class DFTimewolfError(Exception):
#   """Class to represent a DFTimewolfError.
# 
#   Attributes:
#     message (str): The error message.
#     name (str): Name of the module that generated the error.
#     stacktrace (Optional[str]): Stacktrace leading to the error.
#     critical (Optional[bool]): Whether the error is critical or not. Critical
#         errors interrupt the recipe execution flow.
#     unexpected (Optional[bool]): Whether the error is unexpected.
#   """
# 
#   def __init__(self,
#                message: Optional[str]=None,
#                name: Optional[str]=None,
#                stacktrace: Optional[str]=None,
#                critical: bool=False,
#                unexpected: bool=False) -> None:
#     """Initializes the DFTimewolfError with provided or default message."""
#     super(DFTimewolfError, self).__init__(message)
#     self.message = message or 'An error occurred.'
#     self.name = name
#     self.stacktrace = stacktrace
#     self.critical = critical
#     self.unexpected = unexpected


import threading
from typing import TYPE_CHECKING
from timesketch_api_client import client
from timesketch_api_client import config
from timesketch_api_client import crypto
from dftimewolf.lib.errors import DFTimewolfError
  from dftimewolf.lib import state
  This function either returns an API client that has been stored
  in the state object, or if not it will read Timesketch RC files
  to configure a Timesketch API client. If the RC file does not exist
  or is missing values questions will be asked to fully configure
  the client.

  Args:
    state (DFTimewolfState): recipe state.
    token_password (str): optional password used to decrypt the
        Timesketch credential storage. Defaults to an empty string since
        the upstream library expects a string value. An empty string means
        a password will be generated by the upstream library.

  Returns:
    object: A timesketch API object (instance of TimesketchApi).

  Raises:
    RuntimeError: If the configuration file cannot be modified.
  """
  with LOCK:
    ts_client = state.GetFromCache('timesketch_client', default_value=None)
    if ts_client:
      return ts_client

    assistant = config.ConfigAssistant()
    assistant.load_config_file()
    try:
      config.configure_missing_parameters(
          config_assistant=assistant, token_password=token_password)
    except OSError as exception:

# Path: dftimewolf/lib/errors.py
# class DFTimewolfError(Exception):
#   """Class to represent a DFTimewolfError.
# 
#   Attributes:
#     message (str): The error message.
#     name (str): Name of the module that generated the error.
#     stacktrace (Optional[str]): Stacktrace leading to the error.
#     critical (Optional[bool]): Whether the error is critical or not. Critical
#         errors interrupt the recipe execution flow.
#     unexpected (Optional[bool]): Whether the error is unexpected.
#   """
# 
#   def __init__(self,
#                message: Optional[str]=None,
#                name: Optional[str]=None,
#                stacktrace: Optional[str]=None,
#                critical: bool=False,
#                unexpected: bool=False) -> None:
#     """Initializes the DFTimewolfError with provided or default message."""
#     super(DFTimewolfError, self).__init__(message)
#     self.message = message or 'An error occurred.'
#     self.name = name
#     self.stacktrace = stacktrace
#     self.critical = critical
#     self.unexpected = unexpected


# Path: dftimewolf/lib/timesketch_utils.py
import threading
from typing import TYPE_CHECKING
from timesketch_api_client import client
from timesketch_api_client import config
from timesketch_api_client import crypto
from dftimewolf.lib.errors import DFTimewolfError
  from dftimewolf.lib import state

  This function either returns an API client that has been stored
  in the state object, or if not it will read Timesketch RC files
  to configure a Timesketch API client. If the RC file does not exist
  or is missing values questions will be asked to fully configure
  the client.

  Args:
    state (DFTimewolfState): recipe state.
    token_password (str): optional password used to decrypt the
        Timesketch credential storage. Defaults to an empty string since
        the upstream library expects a string value. An empty string means
        a password will be generated by the upstream library.

  Returns:
    object: A timesketch API object (instance of TimesketchApi).

  Raises:
    RuntimeError: If the configuration file cannot be modified.
  """
  with LOCK:
    ts_client = state.GetFromCache('timesketch_client', default_value=None)
    if ts_client:
      return ts_client

    assistant = config.ConfigAssistant()
    assistant.load_config_file()
    try:
      config.configure_missing_parameters(
          config_assistant=assistant, token_password=token_password)
    except OSError as exception:

      raise DFTimewolfError(