Dashboard v1

helpers/stats_helper.py

@@ -7,11 +7,33 @@ def __init__(self):
         self.database = Database()
         print("Stats Helping initialising!")
 
-    def caculate_ave_overall_rating(self):
+    def calculate_ave_overall_rating(self):
         result = self.database.fetch_one("SELECT AVG(review_overall) FROM reviews")
         return result[0]
 
     # HINT: You can define more queries here, along with some python logic to calculate!
-    def calculate_another_stat(self):
-      # all_rows = self.database.fetch_all("")
-      return None
+    def get_top5(self):
+        all_rows = self.database.fetch_all('SELECT DISTINCT beer_name FROM reviews GROUP BY beer_name ORDER BY "review_taste" DESC LIMIT 5')
+        return all_rows
+
+    def get_low5_ave_taste(self):
+        all_rows = self.database.fetch_all(
+            'SELECT DISTINCT beer_name, AVG(review_taste) FROM reviews GROUP BY beer_name ORDER BY AVG(review_overall) ASC LIMIT 5')
+        return all_rows
+
+    def get_top5_ave_overall_rating_brewerys(self):
+      all_rows = self.database.fetch_all('SELECT DISTINCT brewery_name FROM reviews  GROUP BY brewery_name ORDER BY AVG(review_overall) DESC LIMIT 3')
+      return all_rows
+
+    def low5_first_val(self):
+        all_rows = self.database.fetch_all(
+            'SELECT DISTINCT beer_name, AVG(review_taste) FROM reviews GROUP BY beer_name ORDER BY AVG(review_overall) ASC LIMIT 5')
+        first_value = all_rows[0]
+        return first_value
+
+'''
+Level 1 optional
+I feel that it would be a good idea to look at the top 3 brewery names ordered by average overall review ratings, as 
+this would allow the drinks retailer to select a brewery to produce their beer based on the the previously mentioned 
+requirements and would potentially let the company produce the most likely to succeed beer.
+'''