# Path: dftimewolf/config.py
# class Config(object):
#   def GetExtra(cls, name: str='') -> Dict[str, Any]:
#   def LoadExtra(cls, filename: str) -> bool:
#   def LoadExtraData(cls, json_string: bytes) -> None:
#   def ClearExtra(cls) -> None:
# 
# Path: dftimewolf/lib/state.py
# T = TypeVar("T", bound="interface.AttributeContainer")  # pylint: disable=invalid-name,line-too-long
# NEW_ISSUE_URL = 'https://github.com/log2timeline/dftimewolf/issues/new'
# class DFTimewolfState(object):
#   def __init__(self, config: Type[Config]) -> None:
#   def _InvokeModulesInThreads(self, callback: Callable[[Any], Any]) -> None:
#   def ImportRecipeModules(self, module_locations: Dict[str, str]) -> None:
#   def LoadRecipe(self,
#                  recipe: Dict[str, Any],
#                  module_locations: Dict[str, str]) -> None:
#   def FormatExecutionPlan(self) -> str:
#   def LogExecutionPlan(self) -> None:
#   def AddToCache(self, name: str, value: Any) -> None:
#   def GetFromCache(self, name: str, default_value: Any=None) -> Any:
#   def StoreContainer(self, container: "interface.AttributeContainer") -> None:
#   def GetContainers(self,
#                     container_class: Type[T],
#                     pop: bool=False) -> Sequence[T]:
#   def DedupeContainers(self, container_class: Type[T]) -> None:
#   def _SetupModuleThread(self, module_definition: Dict[str, str]) -> None:
#   def SetupModules(self) -> None:
#   def _RunModuleThread(self, module_definition: Dict[str, str]) -> None:
#   def RunPreflights(self) -> None:
#   def CleanUpPreflights(self) -> None:
#   def InstantiateModule(self, module_name: str) -> "dftw_module.BaseModule":
#   def RunModules(self) -> None:
#   def RegisterStreamingCallback(
#       self,
#       target: Callable[["interface.AttributeContainer"], Any],
#       container_type: Type["interface.AttributeContainer"]) -> None:
#   def StreamContainer(self, container: "interface.AttributeContainer") -> None:
#   def AddError(self, error: DFTimewolfError) -> None:
#   def CleanUp(self) -> None:
#   def CheckErrors(self, is_global: bool=False) -> None:
# 
# Path: dftimewolf/lib/collectors/osquery.py
# class OsqueryCollector(module.BaseModule):
#   def __init__(self,
#                state: DFTimewolfState,
#                name: Optional[str]=None,
#                critical: bool=False) -> None:
#   def _ValidateOsquery(self, query: str) -> bool:
#   def SetUp(self,
#             query: str,
#             paths: str) -> None:
#   def Process(self) -> None:
# 
# Path: dftimewolf/lib/containers/containers.py
# class OsqueryQuery(interface.AttributeContainer):
#   """Attribute container for an Osquery query.
# 
#   Attributes:
#     query (str): The osquery query."""
# 
#   CONTAINER_TYPE = 'osquery_query'
# 
#   def __init__(self, query: str) -> None:
#     super(OsqueryQuery, self).__init__()
#     self.query = query
# 
# 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 unittest
import mock
from dftimewolf import config
from dftimewolf.lib import state
from dftimewolf.lib.collectors import osquery
from dftimewolf.lib.containers.containers import OsqueryQuery
from dftimewolf.lib.errors import DFTimewolfError
    self.assertEqual(context.exception.message, 'No valid osquery collected.')

  def testSetupPaths(self) -> None:
    """Tests the collector's Setup() method with invalid paths parameter."""
    test_state = state.DFTimewolfState(config.Config)
    osquery_collector = osquery.OsqueryCollector(test_state)

    test_empty_data = ""
    test_bad_data = "bad"

    with mock.patch(
        'builtins.open',
        new=mock.mock_open(read_data=test_empty_data)) as _:
      with self.assertRaises(DFTimewolfError) as context:
        osquery_collector.SetUp(query='', paths='empty')

    self.assertEqual(context.exception.message, 'No valid osquery collected.')

    with mock.patch(
        'builtins.open',
        new=mock.mock_open(read_data=test_bad_data)) as _:
      with self.assertRaises(DFTimewolfError) as context:
        osquery_collector.SetUp(query='', paths='fbad')

    self.assertEqual(context.exception.message, 'No valid osquery collected.')

  @mock.patch('os.path.exists')
  def testProcess(self, mock_exists) -> None:
    """Tests the collector's Process() function."""
    test_state = state.DFTimewolfState(config.Config)

# Path: dftimewolf/config.py
# class Config(object):
#   def GetExtra(cls, name: str='') -> Dict[str, Any]:
#   def LoadExtra(cls, filename: str) -> bool:
#   def LoadExtraData(cls, json_string: bytes) -> None:
#   def ClearExtra(cls) -> None:
# 
# Path: dftimewolf/lib/state.py
# T = TypeVar("T", bound="interface.AttributeContainer")  # pylint: disable=invalid-name,line-too-long
# NEW_ISSUE_URL = 'https://github.com/log2timeline/dftimewolf/issues/new'
# class DFTimewolfState(object):
#   def __init__(self, config: Type[Config]) -> None:
#   def _InvokeModulesInThreads(self, callback: Callable[[Any], Any]) -> None:
#   def ImportRecipeModules(self, module_locations: Dict[str, str]) -> None:
#   def LoadRecipe(self,
#                  recipe: Dict[str, Any],
#                  module_locations: Dict[str, str]) -> None:
#   def FormatExecutionPlan(self) -> str:
#   def LogExecutionPlan(self) -> None:
#   def AddToCache(self, name: str, value: Any) -> None:
#   def GetFromCache(self, name: str, default_value: Any=None) -> Any:
#   def StoreContainer(self, container: "interface.AttributeContainer") -> None:
#   def GetContainers(self,
#                     container_class: Type[T],
#                     pop: bool=False) -> Sequence[T]:
#   def DedupeContainers(self, container_class: Type[T]) -> None:
#   def _SetupModuleThread(self, module_definition: Dict[str, str]) -> None:
#   def SetupModules(self) -> None:
#   def _RunModuleThread(self, module_definition: Dict[str, str]) -> None:
#   def RunPreflights(self) -> None:
#   def CleanUpPreflights(self) -> None:
#   def InstantiateModule(self, module_name: str) -> "dftw_module.BaseModule":
#   def RunModules(self) -> None:
#   def RegisterStreamingCallback(
#       self,
#       target: Callable[["interface.AttributeContainer"], Any],
#       container_type: Type["interface.AttributeContainer"]) -> None:
#   def StreamContainer(self, container: "interface.AttributeContainer") -> None:
#   def AddError(self, error: DFTimewolfError) -> None:
#   def CleanUp(self) -> None:
#   def CheckErrors(self, is_global: bool=False) -> None:
# 
# Path: dftimewolf/lib/collectors/osquery.py
# class OsqueryCollector(module.BaseModule):
#   def __init__(self,
#                state: DFTimewolfState,
#                name: Optional[str]=None,
#                critical: bool=False) -> None:
#   def _ValidateOsquery(self, query: str) -> bool:
#   def SetUp(self,
#             query: str,
#             paths: str) -> None:
#   def Process(self) -> None:
# 
# Path: dftimewolf/lib/containers/containers.py
# class OsqueryQuery(interface.AttributeContainer):
#   """Attribute container for an Osquery query.
# 
#   Attributes:
#     query (str): The osquery query."""
# 
#   CONTAINER_TYPE = 'osquery_query'
# 
#   def __init__(self, query: str) -> None:
#     super(OsqueryQuery, self).__init__()
#     self.query = query
# 
# 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: tests/lib/collectors/osquery.py
import unittest
import mock
from dftimewolf import config
from dftimewolf.lib import state
from dftimewolf.lib.collectors import osquery
from dftimewolf.lib.containers.containers import OsqueryQuery
from dftimewolf.lib.errors import DFTimewolfError

    self.assertEqual(context.exception.message, 'No valid osquery collected.')

  def testSetupPaths(self) -> None:
    """Tests the collector's Setup() method with invalid paths parameter."""
    test_state = state.DFTimewolfState(config.Config)
    osquery_collector = osquery.OsqueryCollector(test_state)

    test_empty_data = ""
    test_bad_data = "bad"

    with mock.patch(
        'builtins.open',
        new=mock.mock_open(read_data=test_empty_data)) as _:
      with self.assertRaises(DFTimewolfError) as context:
        osquery_collector.SetUp(query='', paths='empty')

    self.assertEqual(context.exception.message, 'No valid osquery collected.')

    with mock.patch(
        'builtins.open',
        new=mock.mock_open(read_data=test_bad_data)) as _:
      with self.assertRaises(DFTimewolfError) as context:
        osquery_collector.SetUp(query='', paths='fbad')

    self.assertEqual(context.exception.message, 'No valid osquery collected.')

  @mock.patch('os.path.exists')
  def testProcess(self, mock_exists) -> None:
    """Tests the collector's Process() function."""
    test_state = state.DFTimewolfState(config.Config)

    osquery_collector = osquery.OsqueryCollector(test_state)