How to use the litecli.packages.completion_engine.suggest_type function in litecli

def test_u_suggests_databases():
    suggestions = suggest_type("\\u ", "\\u ")
    assert sorted_dicts(suggestions) == sorted_dicts([{"type": "database"}])

def test_describe_table():
    suggestions = suggest_type("\\dt", "\\dt ")
    assert sorted_dicts(suggestions) == sorted_dicts(
        [
            {"type": "table", "schema": []},
            {"type": "view", "schema": []},
            {"type": "schema"},
        ]

def test_list_or_show_create_tables():
    suggestions = suggest_type("\\dt+", "\\dt+ ")
    assert sorted_dicts(suggestions) == sorted_dicts(
        [
            {"type": "table", "schema": []},
            {"type": "view", "schema": []},
            {"type": "schema"},
        ]

def test_import_first_argument():
    test_cases = [
        # text, expecting_arg_idx
        [".import ", 1],
        [".import ./da", 1],
        [".import ./data.csv ", 2],
        [".import ./data.csv t", 2],
    ]
    for text, expecting_arg_idx in test_cases:
        suggestions = suggest_type(text, text)
        if expecting_arg_idx == 1:
            assert suggestions == [{"type": "file_name"}]
        else:
            assert suggestions == [{"type": "table", "schema": []}]

def get_completions(self, document, complete_event):
        word_before_cursor = document.get_word_before_cursor(WORD=True)
        completions = []
        suggestions = suggest_type(document.text, document.text_before_cursor)

        for suggestion in suggestions:

            _logger.debug("Suggestion type: %r", suggestion["type"])

            if suggestion["type"] == "column":
                tables = suggestion["tables"]
                _logger.debug("Completion column scope: %r", tables)
                scoped_cols = self.populate_scoped_cols(tables)
                if suggestion.get("drop_unique"):
                    # drop_unique is used for 'tb11 JOIN tbl2 USING (...'
                    # which should suggest only columns that appear in more than
                    # one table
                    scoped_cols = [
                        col
                        for (col, count) in Counter(scoped_cols).items()