Datenstrukturen und Auswertung angepasst

src/paveit/labtest/base.py

@@ -118,6 +118,19 @@ class DataSineLoad():
         self.filehash = calc_hash_of_bytes(self.data)
         self.data.seek(0)
         self._logger.debug(f'Hash of file: {self.filehash}')
+        
+    def _define_data_models(self):
+        pass
+        
+    def _data_in_db(self):
+        
+        nsamples = self._datamodel.objects(filehash = self.filehash).count()
+        
+        if nsamples>0:
+            self.file_in_db = True
+        else:
+            self.file_in_db = False
+        
 
     def _process_data(self):
         """ convert self.data (BytesIO) to pandas.DataFrame, update
@@ -194,8 +207,11 @@ class DataSineLoad():
             return
 
         for col in sel.columns:
-            self.data[col] = pd.to_numeric(self.data[col].str.replace(
+            try:
+                self.data[col] = pd.to_numeric(self.data[col].str.replace(
                 ',', '.'))
+            except:
+                pass
 
     def _post_apply_units(self):
 
@@ -342,6 +358,8 @@ class DataSineLoad():
             self._read_from_s3_to_bytesio()
 
         self._calc_hash_of_bytesio()
+        self._define_data_models()
+        self._data_in_db()
         self._which_machine()
         self._set_parameter()
         self.update_parameter()