# 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
    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(
          'Unable to get a Timesketch API Client',
          critical=False) from exception


    ts_client = assistant.get_client(token_password=token_password)

    if not ts_client:

# 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

    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(
          'Unable to get a Timesketch API Client',
          critical=False) from exception


    ts_client = assistant.get_client(token_password=token_password)

    if not ts_client:

      raise DFTimewolfError(