Feature/sangshuduo/td 4752 python support ns (#6534)

* [TD-4752]<feature>: python connector support nanosecond.

* [TD-4752]<feature>: support nanosecond in test framework.

return integer for nanosecond in connector since python does not support nanosecond yet.

src/connector/python/taos/cinterface.py

@@ -15,7 +15,7 @@ def _convert_microsecond_to_datetime(micro):
 
 
 def _convert_nanosecond_to_datetime(nanosec):
-    return datetime.datetime.fromtimestamp(nanosec / 1000000000.0)
+    return nanosec
 
 
 def _crow_timestamp_to_python(data, num_of_rows, nbytes=None, precision=FieldType.C_TIMESTAMP_UNKNOWN):

tests/pytest/util/sql.py

@@ -18,6 +18,7 @@ import datetime
 import inspect
 import psutil
 import shutil
+import pandas as pd
 from util.log import *
 
 
@@ -136,7 +137,14 @@ class TDSql:
     def checkData(self, row, col, data):
         self.checkRowCol(row, col)
         if self.queryResult[row][col] != data:
-            if self.cursor.istype(col, "TIMESTAMP") and self.queryResult[row][col] == datetime.datetime.fromisoformat(data):
+            if self.cursor.istype(col, "TIMESTAMP"):
+                # suppose user want to check nanosecond timestamp if a longer data passed
+                if (len(data) >= 28):
+                    if pd.to_datetime(self.queryResult[row][col]) == pd.to_datetime(data):
+                        tdLog.info("sql:%s, row:%d col:%d data:%d == expect:%s" %
+                            (self.sql, row, col, self.queryResult[row][col], data))
+                else:
+                    if self.queryResult[row][col] == datetime.datetime.fromisoformat(data):
                         tdLog.info("sql:%s, row:%d col:%d data:%s == expect:%s" %
                             (self.sql, row, col, self.queryResult[row][col], data))
                 return