fix: field string values are correctly escaped in DataFrame serialization

CHANGELOG.md

@@ -6,6 +6,9 @@
 ### API
 1. [#151](https://github.com/influxdata/influxdb-client-python/pull/151): Default port changed from 9999 -> 8086
 
+### Bug Fixes
+1. [#154](https://github.com/influxdata/influxdb-client-python/pull/154): Fixed escaping string fields in DataFrame serialization 
+
 ## 1.10.0 [2020-08-14]
 
 ### Features

influxdb_client/client/write/dataframe_serializer.py

@@ -8,7 +8,7 @@
 from functools import reduce
 from itertools import chain
 
-from influxdb_client.client.write.point import _ESCAPE_KEY, _ESCAPE_MEASUREMENT
+from influxdb_client.client.write.point import _ESCAPE_KEY, _ESCAPE_STRING, _ESCAPE_MEASUREMENT
 
 
 def _replace(data_frame):
@@ -80,15 +80,16 @@ def data_frame_to_list_of_points(data_frame, point_settings, **kwargs):
         elif issubclass(value.type, (np.float, np.bool_)):
             fields.append(f"{key_format}={{p[{index + 1}]}}")
         else:
-            fields.append(f"{key_format}=\"{{str(p[{index + 1}]).translate(_ESCAPE_KEY)}}\"")
+            fields.append(f"{key_format}=\"{{str(p[{index + 1}]).translate(_ESCAPE_STRING)}}\"")
 
     tags.sort(key=lambda x: x['key'])
     tags = ','.join(map(lambda y: y['value'], tags))
 
     fmt = ('{measurement_name}', f'{"," if tags else ""}', tags,
            ' ', ','.join(fields), ' {p[0].value}')
     f = eval("lambda p: f'{}'".format(''.join(fmt)),
-             {'measurement_name': measurement_name, '_ESCAPE_KEY': _ESCAPE_KEY, 'keys': keys})
+             {'measurement_name': measurement_name, '_ESCAPE_KEY': _ESCAPE_KEY, '_ESCAPE_STRING': _ESCAPE_STRING,
+              'keys': keys})
 
     for k, v in dict(data_frame.dtypes).items():
         if k in data_frame_tag_columns:

tests/test_WriteApiDataFrame.py

@@ -88,6 +88,9 @@ def test_write_num_py(self):
 
         pass
 
+
+class DataSerializerTest(unittest.TestCase):
+
     def test_write_nan(self):
         from influxdb_client.extras import pd, np
 
@@ -129,8 +132,6 @@ def test_write_tag_nan(self):
                                          now + timedelta(minutes=60), now + timedelta(minutes=90)],
                                   columns=["tag", "actual_kw_price", "forecast_kw_price"])
 
-        write_api = self.client.write_api(write_options=SYNCHRONOUS, point_settings=PointSettings())
-
         points = data_frame_to_list_of_points(data_frame=data_frame,
                                               point_settings=PointSettings(),
                                               data_frame_measurement_name='measurement',
@@ -146,8 +147,6 @@ def test_write_tag_nan(self):
         self.assertEqual("measurement,tag=tag actual_kw_price=3.138664,forecast_kw_price=20.755026 1586050200000000000",
                          points[3])
 
-        write_api.__del__()
-
     def test_escaping_measurement(self):
         from influxdb_client.extras import pd, np
 
@@ -214,3 +213,24 @@ def test_tags_order(self):
 
         self.assertEqual(1, len(points))
         self.assertEqual("h2o,a=a,b=b,c=c level=2i 1586048400000000000", points[0])
+
+    def test_escape_text_value(self):
+        from influxdb_client.extras import pd, np
+
+        now = pd.Timestamp('2020-04-05 00:00+00:00')
+        an_hour_ago = now - timedelta(hours=1)
+
+        test = [{'a': an_hour_ago, 'b': 'hello world', 'c': 1, 'd': 'foo bar'},
+                {'a': now, 'b': 'goodbye cruel world', 'c': 2, 'd': 'bar foo'}]
+
+        data_frame = pd.DataFrame(test)
+        data_frame = data_frame.set_index('a')
+
+        points = data_frame_to_list_of_points(data_frame=data_frame,
+                                              point_settings=PointSettings(),
+                                              data_frame_measurement_name='test',
+                                              data_frame_tag_columns=['d'])
+
+        self.assertEqual(2, len(points))
+        self.assertEqual("test,d=foo\\ bar b=\"hello world\",c=1i 1586041200000000000", points[0])
+        self.assertEqual("test,d=bar\\ foo b=\"goodbye cruel world\",c=2i 1586044800000000000", points[1])