def _validate_data_table_has_table_keys(self,
data_table: DataTable) -> None:
for table_key in self.table_keys:
if data_table.has_set_column(table_key):
continue
if data_table.has_column(table_key):
raise DynamoQueryError(
f'Column "{table_key}" has missing values in input data,'
f" but present in table keys {self.table_keys}")
raise DynamoQueryError(
f'Column "{table_key}" is missing in input data,'
f" but present in table keys {self.table_keys}")
def test_has_set_column() -> None:
data_table = DataTable({"a": [1, 2], "b": [DataTable.NOT_SET, 3]})
assert data_table.has_set_column()
assert data_table.has_set_column("a")
assert not data_table.has_set_column("b")
assert not data_table.has_set_column("c")
assert not data_table.has_set_column("b", "a")
assert not data_table.has_set_column("c")
assert not data_table.has_set_column("a", "c")
def _validate_required_value_keys(self, data_table: DataTable) -> None:
for name, expression in self._expressions.items():
required_value_keys = expression.get_format_values()
for required_value_key in required_value_keys:
if data_table.has_set_column(required_value_key):
continue
if data_table.has_column(required_value_key):
raise DynamoQueryError(
f'Column "{required_value_key}"" has missing values in input data,'
f' but present in {name} = "{expression}"')
raise DynamoQueryError(
f'Column "{required_value_key}" is missing in input data,'
f' but present in {name} = "{expression}"')