Now using language dependent senti analizier. no compound score anymore.

CRUDManager.py

@@ -3,6 +3,35 @@ import pandas as pd
 from sqlalchemy import desc, select
 from Tables import Toots
 
+
+def calculateSentimentCount():
+    query = f'''SELECT DATE(datetime) as date, sentiment, COUNT(sentiment) as sentimentCount
+                FROM Toots
+                GROUP BY DATE(datetime),
+                sentiment
+                HAVING datetime >= DATE("now","-1 day")
+                AND datetime < DATE("now")'''
+    return pd.read_sql(
+        query,
+        databaseUrl,
+        parse_dates=["datetime"]
+    )
+
+def calculateSentimentMean(dataframe):
+    negativeSentimentSum = dataframe[dataframe['sentiment'] == 'negative']['sentimentCount'].sum() * -1
+    positiveSentimentSum = dataframe[dataframe['sentiment'] == 'positive']['sentimentCount'].sum()
+    sentimentSum = dataframe['sentimentCount'].sum()
+    sentimentMean = (negativeSentimentSum + positiveSentimentSum) / sentimentSum
+    sentimentDate = dataframe.loc[0]['date']
+    return pd.DataFrame.from_records(
+        [
+            {
+                'date': sentimentDate,
+                'sentimentsMean': sentimentMean
+            }
+        ]
+    )
+
 class CRUDManager():
 
     def saveToDatabase(self, dataframe, table:str, useIndex=False):
@@ -16,21 +45,4 @@ class CRUDManager():
 
     def getLastToot(self):
         stmt = select(Toots.tootId).order_by(desc('datetime'))
-        return session.scalars(stmt).first()
-
-    def calculateAggregates(self, column, aggregate='Count'):
-        if (aggregate=='Count'):
-            addGroup = f', {column} '
-        else:
-            addGroup = ''
-        query = f'''SELECT DATE(datetime) as date {addGroup}, {aggregate}({column}) as {column}{aggregate}
-                    FROM Toots
-                    GROUP BY DATE(datetime)''' \
-                    + addGroup \
-                    + '''HAVING datetime >= DATE("now","-1 day")
-                    AND datetime < DATE("now")'''
-        return pd.read_sql(
-            query,
-            databaseUrl,
-            parse_dates=["datetime"]
-            )
+        return session.scalars(stmt).first()