fix: Add pyarrow date64/time64('ns') to the list of supported Arrow d…

…ata types in the Python client (deephaven#6048)

related to deephaven#6044

The DH server is now able to convert between Arrow date64/time64 and
Java LocalDate/LocalTime. The Python client needs to include the mapping
of these two types when building Arrow schema for uploading Arrow data
to the server.

py/client/pydeephaven/_arrow.py

@@ -23,13 +23,13 @@
     pa.time32('s'): '',
     pa.time32('ms'): '',
     pa.time64('us'): '',
-    pa.time64('ns'): '',
+    pa.time64('ns'): 'java.time.LocalTime',
     pa.timestamp('s'): '',
     pa.timestamp('ms'): '',
     pa.timestamp('us'): '',
     pa.timestamp('ns'): 'java.time.Instant',
     pa.date32(): '',
-    pa.date64(): '',
+    pa.date64(): 'java.time.LocalDate',
     pa.duration('s'): '',
     pa.duration('ms'): '',
     pa.duration('us'): '',

py/client/tests/test_session.py

@@ -111,7 +111,6 @@ def test_import_table_long_csv(self):
         df = pa_table2.to_pandas()
         self.assertEquals(1000, len(df.index))
 
-    @unittest.skip("GH ticket filed #941.")
     def test_import_table_time64(self):
         pa_array = pa.array([1, 2], type=pa.time64('ns'))
         pa_record_batch = pa.RecordBatch.from_arrays([pa_array], names=['f1'])
@@ -187,8 +186,8 @@ def test_import_table_strings(self):
         self.assertEqual(0, len(exception_list))
 
     @unittest.skip("GH ticket filed #941.")
-    def test_import_table_dates(self):
-        types = [pa.date32(), pa.date64()]
+    def test_import_table_date32(self):
+        types = [pa.date32()]
         exception_list = []
         for t in types:
             pa_array = pa.array([1245, 123456], type=t)
@@ -203,6 +202,18 @@ def test_import_table_dates(self):
 
         self.assertEqual(0, len(exception_list))
 
+    def test_import_table_date64(self):
+        from datetime import datetime
+        pa_date1 = pa.scalar(datetime(2012, 1, 1), type=pa.date64())
+        pa_date2 = pa.scalar(datetime(2022, 11, 11), type=pa.date64())
+        pa_array = pa.array([pa_date1, pa_date2], type=pa.date64())
+
+        pa_record_batch = pa.RecordBatch.from_arrays([pa_array], names=['f1'])
+        pa_table = pa.Table.from_batches([pa_record_batch])
+        new_table = self.session.import_table(pa_table)
+        pa_table2 = new_table.to_arrow()
+        self.assertEqual(pa_table, pa_table2)
+
     def test_input_table(self):
         pa_types = [
             pa.bool_(),