Revert Gremlin console tab to single results column (#330)

* Revert Gremlin console tab to single results column

* Remove test code

* Update Changelog

Co-authored-by: Michael Chin <chnmch@amazon.com>

Author: michaelnchin

ChangeLog.md

@@ -3,6 +3,8 @@
 Starting with v1.31.6, this file will contain a record of major features and updates made in each release of graph-notebook.
 
 ## Upcoming
+- Reverted Gremlin console tab to single results column ([Link to PR](https://github.com/aws/graph-notebook/pull/330))
+- Bumped jquery-ui from 1.13.1 to 1.13.2 (([Link to PR](https://github.com/aws/graph-notebook/pull/328))
 
 ## Release 3.5.1 (July 12, 2022)
 - Improved the `%stream_viewer` magic to show the commit timestamp and `isLastOp` information,

src/graph_notebook/magics/graph_magic.py

@@ -70,6 +70,7 @@
 DEFAULT_PAGINATION_OPTIONS = [10, 25, 50, 100, -1]
 DEFAULT_PAGINATION_MENU = [10, 25, 50, 100, "All"]
 opt.order = []
+opt.maxBytes = 0
 
 logging.basicConfig()
 root_logger = logging.getLogger()
@@ -700,6 +701,7 @@ def gremlin(self, line, cell, local_ns: dict = None):
                 gremlin_metadata = build_gremlin_metadata_from_query(query_type='query', results=query_res,
                                                                      query_time=query_time)
                 titles.append('Console')
+
                 try:
                     logger.debug(f'groupby: {args.group_by}')
                     logger.debug(f'display_property: {args.display_property}')
@@ -738,10 +740,11 @@ def gremlin(self, line, cell, local_ns: dict = None):
                 # If not, then render our own HTML template.
                 results_df = pd.DataFrame(query_res)
                 if not results_df.empty:
-                    if (isinstance(query_res[0], dict) and len(results_df.columns) > len(query_res[0])) or \
-                            isinstance(query_res[0], list):
-                        query_res = [[result] for result in query_res]
-                        results_df = pd.DataFrame(query_res)
+                    query_res = [[result] for result in query_res]
+                    query_res.append([{'__DUMMY_KEY__': ['DUMMY_VALUE']}])
+                    results_df = pd.DataFrame(query_res)
+                    results_df.drop(results_df.index[-1], inplace=True)
+                    query_res.pop()
                 results_df.insert(0, "#", range(1, len(results_df) + 1))
                 if len(results_df.columns) == 2 and int(results_df.columns[1]) == 0:
                     results_df.rename({results_df.columns[1]: 'Result'}, axis='columns', inplace=True)