Dashboard v2

application.py

@@ -9,7 +9,10 @@
 @app.route('/')
 def homepage():
     # HINT: Pass variables through to the HTML using Flask - https://flask.palletsprojects.com/en/1.1.x/quickstart/#rendering-templates
-    return render_template('index.html', todays_date=datetime.now())
+    title = '1 Star Reviews VS Beer abv (%)'
+    labels = stats_helper.get_1star_reviews_name()
+    values = stats_helper.get_1star_reviews_abv()
+    return render_template('index.html', todays_date=datetime.now(), title= title, labels=labels, values=values)
 
 # HINT: This could be your first statistic!
 def get_average_overall_rating():

helpers/stats_helper.py

@@ -15,3 +15,36 @@ def caculate_ave_overall_rating(self):
     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_top3_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
+
+    def get_1star_reviews_name(self):
+      all_rows = self.database.fetch_all('SELECT DISTINCT beer_abv FROM reviews WHERE review_overall = 1  AND beer_abv IS NOT NULL GROUP BY beer_abv ORDER BY AVG(beer_abv) ASC')
+      return all_rows
+
+    def get_1star_reviews_abv(self):
+      all_rows = self.database.fetch_all('SELECT DISTINCT beer_name FROM reviews WHERE review_overall = 1  AND beer_abv IS NOT NULL GROUP BY beer_abv ORDER BY AVG(beer_abv) ASC')
+      return all_rows
+
+'''
+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.
+'''