feat: added worst performing goods

main.py

@@ -118,6 +118,14 @@ async def top_items_by_store(shop_id):
     return {'top_sold_items': res, 'shop_details': shop_details }
 
 
+@app.get('/worst_items_by_store')
+async def worst_items_by_store(shop_id):
+    transactions = db.get_all_transactions_of_shop(shop_id)
+    res = frequency_metric.get_bottom_k_most_sold_items(3, transactions)
+    shop_details = db.get_shop_details(shop_id)
+    return {'bottom_sold_items': res, 'shop_details': shop_details }
+
+
 @app.get('/top_items_by_time')
 async def get_top_items_by_time(time: str):
     year, month, date = time.split('-')

mltoolkit/frequency_metric.py

@@ -21,6 +21,27 @@ def get_top_k_most_sold_items(k, transactions):
     return res
 
 
+def get_bottom_k_most_sold_items(k, transactions):
+    dataset = []
+    for transaction in transactions:
+        item_list = transaction['item_list']
+        items = item_list.split(',')
+        cleaned_items = [item.strip() for item in items]
+        dataset.extend(cleaned_items)
+
+        item_counter = Counter(dataset)
+        item_counter_list  = list(item_counter.items())
+        item_counter_list.sort(key = lambda x: x[1])
+
+    k = min(k, len(dataset))
+
+    res = []
+    for i in range(k):
+        res.append(item_counter_list[i][0])
+
+    return res
+
+