mvp table with alc predict and ready date

src/flask/charts/BeerCharts.py

@@ -9,6 +9,9 @@ class BeerCharts():
     def __init__(self):
         self.db = db_conn()
 
+    def bar_chart(self, items, data):
+        return 0
+
 
     def line_chart(self, title, field, limit):
         data = self.db.beer_db

src/flask/table/table_builder.py

@@ -24,24 +24,29 @@ class TableBuilder():
             df_dict["final_reading"].append(record["final_reading"])
         df = pd.DataFrame(data=df_dict)
         sql = f"""
-            SELECT  x.beer_run_id as "Beer Run", 
-                    max(sg)  as "Max",
-                    min(sg)  as "Min"
+            SELECT  x.beer_run_id as beer_run_id, 
+                    max(sg)  as max,
+                    min(sg)  as min,
+                    y.date as final_reading_date    
             FROM df x
             JOIN
-            (   SELECT DISTINCT beer_run_id 
+            (   SELECT DISTINCT beer_run_id, date
                 FROM df
                 WHERE final_reading = 'True'
             ) y ON x.beer_run_id = y.beer_run_id
-            GROUP BY x.beer_run_id
+            GROUP BY x.beer_run_id, y.date
             ORDER BY x.beer_run_id desc
             LIMIT {limit}
         """
         df_sum = duckdb.sql(sql).df()
         sql = f"""
-            SELECT  *, 
-                    ROUND(((CAST (max AS INTEGER) - CAST(min AS INTEGER)) / 7.36) + 0.5, 2) AS "Alcohol Prediction"
-            FROM df_sum
+            SELECT  x.beer_run_id as "Beer Run",
+                    x.max as "Max",
+                    x.min as "Min", 
+                    ROUND(((CAST (max AS INTEGER) - CAST(min AS INTEGER)) / 7.36) + 0.5, 2) AS "Alcohol Prediction",
+                    cast(final_reading_date as DATE) + INTERVAL 14 DAY as "Ready Date"
+
+            FROM df_sum x
         """
         df_calc = duckdb.sql(sql).df()
         return df_calc