Fix bug #925 by ensuring kwargs are lists and handling edge cases

Signed-off-by: Sepehr-A <sepehr@stardustsystems.net>

suzieq/engines/pandas/topology.py

@@ -29,6 +29,7 @@ def __init__(self, baseobj):
         self.lsdb = pd.DataFrame()
         self._a_df = pd.DataFrame()
         self._ip_table = pd.DataFrame()
+        self._namespaces = []
 
     @staticmethod
     def table_name():
@@ -77,7 +78,7 @@ class Services:
             extra_cols: list
             augment: any
 
-        self._namespaces = kwargs.get("namespace", self.ctxt.namespace)
+        self._namespaces = kwargs.get("namespace", [])
         hostname = kwargs.pop('hostname', [])
         user_query = kwargs.pop('query_str', '')
         polled = kwargs.pop('polled', '')

suzieq/sqobjects/basicobj.py

@@ -223,6 +223,8 @@ def get(self, **kwargs) -> pd.DataFrame:
                 elif isinstance(val, str):
                     kwargs[k] = v(val)
 
+        # This raises TypeError if it fails
+        self._validate_list_args(**kwargs)
         result = self.engine.get(**kwargs, columns=columns)
         if self._is_result_empty(result):
             fields = self._get_empty_cols(columns, 'get', **kwargs)
@@ -245,6 +247,8 @@ def summarize(self, **kwargs) -> pd.DataFrame:
             raise AttributeError('No analysis engine specified')
 
         self.validate_summarize_input(**kwargs)
+        # This raises TypeError if it fails
+        self._validate_list_args(**kwargs)
 
         result = self.engine.summarize(**kwargs)
         if self._is_result_empty(result):
@@ -284,6 +288,8 @@ def aver(self, **kwargs):
         '''Assert one or more checks on table'''
         kwargs.pop('ignore_warning', None)
         columns = kwargs.pop('columns', self.columns)
+        # This raises TypeError if it fails
+        self._validate_list_args(**kwargs)
         if self._valid_assert_args:
             result = self._assert_if_supported(**kwargs, columns=columns)
             if self._is_result_empty(result):
@@ -312,6 +318,8 @@ def top(self, what: str = '', count: int = 5, reverse: bool = False,
             df = pd.DataFrame({'error': [f'{error}']})
             return df
 
+        # This raises TypeError if it fails
+        self._validate_list_args(**kwargs)
         # This raises ValueError if it fails
         table_schema = SchemaForTable(self._table, self.all_schemas)
         if not self._field_exists(table_schema, what):
@@ -573,3 +581,18 @@ def _empty_result(self, columns: List[str]) -> pd.DataFrame:
             pd.DataFrame: empty dataframe
         """
         return pd.DataFrame(columns=columns)
+
+    def _validate_list_args(self, **kwargs):
+        """Method to ensure specified kwargs are lists."""
+        # Specify which arguments should be lists
+        list_args = ['namespace', 'hostname']
+        for arg in list_args:
+            if arg not in kwargs or kwargs[arg] is None:
+                continue
+            if not isinstance(kwargs[arg], list):
+                error_msg = (
+                    f"The argument '{arg}' must be a List of strings, "
+                    f"got '{type(kwargs[arg]).__name__}' instead. current "
+                    f"val: {kwargs[arg]}"
+                )
+                raise TypeError(error_msg)