Convert timestamps from s to ms

analytics/analytic_unit_manager.py

@@ -60,7 +60,7 @@ def prepare_data(data: list):
     """
     data = pd.DataFrame(data, columns=['timestamp', 'value'])
 
-    data['timestamp'] = pd.to_datetime(data['timestamp'])
+    data['timestamp'] = pd.to_datetime(data['timestamp'], unit='ms')
     data['value'] = data['value'] - min(data['value'])
 
     return data

analytics/models/drop_model.py

@@ -36,8 +36,8 @@ class DropModel(Model):
         drop_length_list = []
         for segment in segments:
             if segment['labeled']:
-                segment_from_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['from']))
-                segment_to_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['to']))
+                segment_from_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['from'], unit='ms'))
+                segment_to_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['to'], unit='ms'))
 
                 segment_data = data[segment_from_index: segment_to_index + 1]
                 if len(segment_data) == 0:

analytics/models/general_model.py

@@ -35,8 +35,8 @@ class GeneralModel(Model):
         convolve_list = []
         for segment in segments:
             if segment['labeled']:
-                segment_from_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['from']))
-                segment_to_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['to']))
+                segment_from_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['from'], unit='ms'))
+                segment_to_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['to'], unit='ms'))
 
                 segment_data = data[segment_from_index: segment_to_index + 1]
                 if len(segment_data) == 0:

analytics/models/jump_model.py

@@ -39,8 +39,8 @@ class JumpModel(Model):
         jump_length_list = []
         for segment in segments:
             if segment['labeled']:
-                segment_from_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['from']))
-                segment_to_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['to']))
+                segment_from_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['from'], unit='ms'))
+                segment_to_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['to'], unit='ms'))
 
                 segment_data = data[segment_from_index: segment_to_index + 1]
                 if len(segment_data) == 0:

analytics/models/peak_model.py

@@ -34,8 +34,8 @@ class PeakModel(Model):
         convolve_list = []
         for segment in segments:
             if segment['labeled']:
-                segment_from_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['from']))
-                segment_to_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['to']))
+                segment_from_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['from'], unit='ms'))
+                segment_to_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['to'], unit='ms'))
 
                 segment_data = data[segment_from_index: segment_to_index + 1]
                 if len(segment_data) == 0:

analytics/models/trough_model.py

@@ -33,8 +33,8 @@ class TroughModel(Model):
         convolve_list = []
         for segment in segments:
             if segment['labeled']:
-                segment_from_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['from']))
-                segment_to_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['to']))
+                segment_from_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['from'], unit='ms'))
+                segment_to_index = utils.timestamp_to_index(dataframe, pd.to_datetime(segment['to'], unit='ms'))
 
                 segment_data = data[segment_from_index: segment_to_index + 1]
                 if len(segment_data) == 0: