do always sort

influx.py

@@ -292,7 +292,7 @@ class InfluxDBWrapper:
         print(msg)
 
         reader = self._client.query_api().query_csv(msg)
-        sort = False
+        print('CSV')
         converters = None
         group = None
         column_names = None
@@ -303,6 +303,7 @@ class InfluxDBWrapper:
         for row in reader:
             if not row:
                 continue
+            print(row)
             if row[0]:
                 if row[0] == '#datatype':
                     converters = {i: CONVERTER.get(d) for i, d in enumerate(row) if i > 2}
@@ -311,6 +312,7 @@ class InfluxDBWrapper:
                     group = row
                 continue
             if column_names is None:
+                print('COL', row)
                 column_names = row
                 keys = {}
                 for col, (name, grp) in enumerate(zip(column_names, group)):
@@ -319,8 +321,6 @@ class InfluxDBWrapper:
                     # if name in keynames or (columns is None and name not in dropcols):
                     if name in keynames or columns is None:
                         keys[col] = converters.pop(col)
-                    else:
-                        sort = True
                 valuecls = NamedTuple([row[i] for i in converters])
                 keycls = NamedTuple([row[i] for i in keys])
                 continue
@@ -328,23 +328,22 @@ class InfluxDBWrapper:
                 # new table, new key
                 table = row[2]
                 key = keycls(f(row[i]) for i, f in keys.items())
+                print('new table', table, key)
                 if result.get(key) is None:
                     result[key] = []
-                elif not sort:
-                    # this should not happen
-                    sort = True
 
             result[key].append(valuecls(f(row[i]) for i, f in converters.items()))
         if last:
+            print('LAST')
             for key, table in result.items():
                 result[key], = table
-        elif sort:
+        else:
             for table in result.values():
                 table.sort()
         return result
 
-    def curves(self, start=None, stop=None, measurement=None, field='float', interval=None,
-               add_prev=3600, add_end=False, **tags):
+    def curves(self, start=None, stop=None, measurement=('*.value', '*.target'), field='float',
+               interval=None, add_prev=3600, add_end=True, **tags):
         """get curves
 
         :param start: start time (default: one month ago)
@@ -359,14 +358,15 @@ class InfluxDBWrapper:
              where <tuple of keys> and <row> are NamedTuple
              <row> is (<timestamp>, <value>)
 
-        when field='float' (the default), the returned values are either a floats or None
+        when _field='float' (the default), the returned values are either a floats or None
         """
-        for key, val in zip(('_measurement', '_field'), (measurement, field)):
-            tags.setdefault(key, val)
+        tags.setdefault('_measurement', measurement)
+        tags.setdefault('_field', field)
         start, stop = abs_range(start, stop)
         rstart, rstop = round_range(start, stop, interval)
         if rstart < rstop:
-            result = self.query(rstart, rstop, interval, columns=[], **tags)
+            result = self.query(rstart, rstop, interval, columns=None, **tags)
+            # result = self.query(rstart, rstop, interval, columns=['stream', 'device'], **tags)
         else:
             result = {}
         if add_prev:

t.py

@@ -1,6 +1,5 @@
 import time
 import numpy as np
-import pandas as pd
 from influx import InfluxDBWrapper, NamedTuple, RegExp
 
 DAY = 24 * 3600