# 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/logging_utils.py
# class WolfLogger(logging.getLoggerClass()):  # type: ignore
#   """Custom logging Class with a `success` logging function."""
# 
#   def success(self, *args: Any, **kwargs: Any) -> None:  # pylint: disable=invalid-name
#     """Logs a success message."""
#     super(WolfLogger, self).log(SUCCESS, *args, **kwargs)


import tempfile
import time
from typing import Optional, Union, Callable, List, Any
from grr_api_client import api as grr_api
from grr_api_client import errors as grr_errors
from grr_api_client.client import Client
from grr_api_client.flow import Flow
from grr_api_client.hunt import Hunt
from dftimewolf.lib.errors import DFTimewolfError
from dftimewolf.lib.logging_utils import WolfLogger
      grr_username: str,
      grr_password: str,
      approvers: Optional[str]=None,
      verify: bool=True) -> None:
    """Initializes a GRR hunt result collector.

    Args:
      reason (str): justification for GRR access.
      grr_server_url (str): GRR server URL.
      grr_username (str): GRR username.
      grr_password (str): GRR password.
      approvers (Optional[str]): comma-separated GRR approval recipients.
      verify (Optional[bool]): True to indicate GRR server's x509 certificate
          should be verified.
    """
    grr_auth = (grr_username, grr_password)
    if approvers:
      self.approvers = [item.strip() for item in approvers.split(',')]
    self.grr_api = grr_api.InitHttp(api_endpoint=grr_server_url,
                                    auth=grr_auth,
                                    verify=verify)
    self.grr_url = grr_server_url
    self.output_path = tempfile.mkdtemp()
    self.reason = reason

  # TODO: change object to more specific GRR type information.
  def _WrapGRRRequestWithApproval(
      self,
      grr_object: Union[Hunt, Client],
      grr_function: Callable,  # type: ignore[type-arg]

# 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/logging_utils.py
# class WolfLogger(logging.getLoggerClass()):  # type: ignore
#   """Custom logging Class with a `success` logging function."""
# 
#   def success(self, *args: Any, **kwargs: Any) -> None:  # pylint: disable=invalid-name
#     """Logs a success message."""
#     super(WolfLogger, self).log(SUCCESS, *args, **kwargs)


# Path: dftimewolf/lib/collectors/grr_base.py
import tempfile
import time
from typing import Optional, Union, Callable, List, Any
from grr_api_client import api as grr_api
from grr_api_client import errors as grr_errors
from grr_api_client.client import Client
from grr_api_client.flow import Flow
from grr_api_client.hunt import Hunt
from dftimewolf.lib.errors import DFTimewolfError
from dftimewolf.lib.logging_utils import WolfLogger

      grr_username: str,
      grr_password: str,
      approvers: Optional[str]=None,
      verify: bool=True) -> None:
    """Initializes a GRR hunt result collector.

    Args:
      reason (str): justification for GRR access.
      grr_server_url (str): GRR server URL.
      grr_username (str): GRR username.
      grr_password (str): GRR password.
      approvers (Optional[str]): comma-separated GRR approval recipients.
      verify (Optional[bool]): True to indicate GRR server's x509 certificate
          should be verified.
    """
    grr_auth = (grr_username, grr_password)
    if approvers:
      self.approvers = [item.strip() for item in approvers.split(',')]
    self.grr_api = grr_api.InitHttp(api_endpoint=grr_server_url,
                                    auth=grr_auth,
                                    verify=verify)
    self.grr_url = grr_server_url
    self.output_path = tempfile.mkdtemp()
    self.reason = reason

  # TODO: change object to more specific GRR type information.
  def _WrapGRRRequestWithApproval(
      self,
      grr_object: Union[Hunt, Client],
      grr_function: Callable,  # type: ignore[type-arg]

      logger: WolfLogger,