Final submission ;)

results.json

@@ -2,6 +2,7 @@
   "results": [
     {
       "task_id": 1,
+      "task_name": "sql-task-1",
       "difficulty": "easy",
       "best_reward": 1.0,
       "attempts": 1,
@@ -10,6 +11,7 @@
     },
     {
       "task_id": 2,
+      "task_name": "sql-task-2",
       "difficulty": "medium",
       "best_reward": 1.0,
       "attempts": 1,
@@ -18,6 +20,7 @@
     },
     {
       "task_id": 3,
+      "task_name": "sql-task-3",
       "difficulty": "hard",
       "best_reward": 1.0,
       "attempts": 1,
@@ -26,6 +29,7 @@
     },
     {
       "task_id": 4,
+      "task_name": "sql-task-4",
       "difficulty": "medium",
       "best_reward": 1.0,
       "attempts": 1,
@@ -34,6 +38,7 @@
     },
     {
       "task_id": 5,
+      "task_name": "sql-task-5",
       "difficulty": "hard",
       "best_reward": 1.0,
       "attempts": 1,
@@ -42,14 +47,16 @@
     },
     {
       "task_id": 6,
+      "task_name": "sql-task-6",
       "difficulty": "expert",
       "best_reward": 0.9,
       "attempts": 5,
-      "final_sql": "SELECT \n  STRFTIME('%Y-%m', order_date) AS month,\n  SUM(total_amount) AS total_revenue,\n  LAG(SUM(total_amount)) OVER (ORDER BY STRFTIME('%Y-%m', order_date)) AS prev_revenue,\n  ROUND(COALESCE((SUM(total_amount) - LAG(SUM(total_amount)) OVER (ORDER BY STRFTIME('%Y-%m', order_date))) / \n                  NULLIF(LAG(SUM(total_amount)) OVER (ORDER BY STRFTIME('%Y-%m', order_date)), 0) * 100, NULL), 2) AS growth_pct\nFROM orders\nWHERE STRFTIME('%Y', order_date) = '2024' AND status = 'completed'\nGROUP BY STRFTIME('%Y-%m', order_date)\nORDER BY STRFTIME('%Y-%m', order_date)",
+      "final_sql": "SELECT \n  STRFTIME('%Y-%m', order_date) AS month,\n  SUM(total_amount) AS total_revenue,\n  LAG(SUM(total_amount)) OVER (ORDER BY STRFTIME('%Y-%m', order_date)) AS prev_revenue,\n  ROUND(COALESCE((SUM(total_amount) - LAG(SUM(total_amount)) OVER (ORDER BY STRFTIME('%Y-%m', order_date))) / \n                  LAG(SUM(total_amount)) OVER (ORDER BY STRFTIME('%Y-%m', order_date)), 0) * 100, 2) AS growth_pct\nFROM orders\nWHERE STRFTIME('%Y', order_date) = '2024' AND status = 'completed'\nGROUP BY STRFTIME('%Y-%m', order_date)\nORDER BY STRFTIME('%Y-%m', order_date)",
       "solved": false
     },
     {
       "task_id": 7,
+      "task_name": "sql-task-7",
       "difficulty": "expert",
       "best_reward": 1.0,
       "attempts": 1,
@@ -58,13 +65,14 @@
     },
     {
       "task_id": 8,
+      "task_name": "sql-task-8",
       "difficulty": "expert",
-      "best_reward": 0.98,
+      "best_reward": 0.949,
       "attempts": 5,
-      "final_sql": "SELECT \n  c.customer_id, \n  c.first_name, \n  c.last_name, \n  SUM(CASE WHEN STRFTIME('%Y', o.order_date) = 2024 AND STRFTIME('%m', o.order_date) BETWEEN '01' AND '06' THEN o.total_amount ELSE 0 END) AS h1_revenue,\n  SUM(CASE WHEN STRFTIME('%Y', o.order_date) = 2024 AND STRFTIME('%m', o.order_date) BETWEEN '07' AND '12' THEN o.total_amount ELSE 0 END) AS h2_revenue\nFROM \n  customers c\n  JOIN orders o ON c.customer_id = o.customer_id\nWHERE \n  o.status = 'completed'\nGROUP BY \n  c.customer_id, c.first_name, c.last_name\nHAVING \n  h2_revenue > h1_revenue\nORDER BY \n  h2_revenue DESC",
+      "final_sql": "SELECT \n  c.customer_id, \n  c.first_name, \n  c.last_name, \n  SUM(CASE WHEN STRFTIME('%Y', o.order_date) = '2024' AND STRFTIME('%m', o.order_date) BETWEEN '01' AND '06' THEN o.total_amount ELSE 0 END) AS h1_revenue,\n  SUM(CASE WHEN STRFTIME('%Y', o.order_date) = '2024' AND STRFTIME('%m', o.order_date) BETWEEN '07' AND '12' THEN o.total_amount ELSE 0 END) AS h2_revenue\nFROM \n  customers c\n  JOIN orders o ON c.customer_id = o.customer_id\nWHERE \n  o.status = 'completed'\nGROUP BY \n  c.customer_id, c.first_name, c.last_name\nHAVING \n  h2_revenue > h1_revenue\nORDER BY \n  h2_revenue DESC",
       "solved": false
     }
   ],
-  "avg_score": 0.985,
+  "avg_score": 0.981,
   "tasks_solved": 6
 }