存量题库数据更新

leetcode/originData/[no content]product-sales-analysis-v.json

@@ -10,23 +10,30 @@
             "translatedTitle": null,
             "translatedContent": null,
             "isPaidOnly": true,
-            "difficulty": "Medium",
-            "likes": 0,
-            "dislikes": 5,
+            "difficulty": "Easy",
+            "likes": 30,
+            "dislikes": 6,
             "isLiked": null,
             "similarQuestions": "[{\"title\": \"Product Sales Analysis I\", \"titleSlug\": \"product-sales-analysis-i\", \"difficulty\": \"Easy\", \"translatedTitle\": null}, {\"title\": \"Product Sales Analysis II\", \"titleSlug\": \"product-sales-analysis-ii\", \"difficulty\": \"Easy\", \"translatedTitle\": null}, {\"title\": \"Product Sales Analysis III\", \"titleSlug\": \"product-sales-analysis-iii\", \"difficulty\": \"Medium\", \"translatedTitle\": null}]",
             "exampleTestcases": "{\"headers\": {\"Sales\": [\"sale_id\", \"product_id\", \"user_id\", \"quantity\"], \"Product\": [\"product_id\", \"price\"]}, \"rows\": {\"Sales\": [[1, 1, 101, 10], [2, 2, 101, 1], [3, 3, 102, 3], [4, 3, 102, 2], [5, 2, 103, 3]], \"Product\": [[1, 10], [2, 25], [3, 15]]}}",
             "categoryTitle": "Database",
             "contributors": [],
-            "topicTags": [],
+            "topicTags": [
+                {
+                    "name": "Database",
+                    "slug": "database",
+                    "translatedName": null,
+                    "__typename": "TopicTagNode"
+                }
+            ],
             "companyTagStats": null,
             "codeSnippets": null,
-            "stats": "{\"totalAccepted\": \"337\", \"totalSubmission\": \"408\", \"totalAcceptedRaw\": 337, \"totalSubmissionRaw\": 408, \"acRate\": \"82.6%\"}",
+            "stats": "{\"totalAccepted\": \"5.6K\", \"totalSubmission\": \"8.2K\", \"totalAcceptedRaw\": 5609, \"totalSubmissionRaw\": 8177, \"acRate\": \"68.6%\"}",
             "hints": [],
             "solution": null,
             "status": null,
             "sampleTestCase": "{\"headers\": {\"Sales\": [\"sale_id\", \"product_id\", \"user_id\", \"quantity\"], \"Product\": [\"product_id\", \"price\"]}, \"rows\": {\"Sales\": [[1, 1, 101, 10], [2, 2, 101, 1], [3, 3, 102, 3], [4, 3, 102, 2], [5, 2, 103, 3]], \"Product\": [[1, 10], [2, 25], [3, 15]]}}",
-            "metaData": "{\n  \"mysql\": [\n    \"Create table If Not Exists Sales (sale_id int, product_id int, user_id int, quantity int)\",\n    \"Create table If Not Exists Product (product_id int, price int)\"\n  ],\n  \"mssql\": [\n    \"Create table Sales (sale_id int, product_id int, user_id int, quantity int)\",\n    \"Create table Product (product_id int, price int)\"\n  ],\n  \"oraclesql\": [\n    \"Create table Sales (sale_id int, product_id int, user_id int, quantity int)\",\n    \"Create table Product (product_id int, price int)\"\n  ],\n  \"database\": true\n}",
+            "metaData": "{\"mysql\": [\"Create table If Not Exists Sales (sale_id int, product_id int, user_id int, quantity int)\", \"Create table If Not Exists Product (product_id int, price int)\"], \"mssql\": [\"Create table Sales (sale_id int, product_id int, user_id int, quantity int)\", \"Create table Product (product_id int, price int)\"], \"oraclesql\": [\"Create table Sales (sale_id int, product_id int, user_id int, quantity int)\", \"Create table Product (product_id int, price int)\"], \"database\": true, \"name\": \"product_sales_analysis\", \"pythondata\": [\"Sales = pd.DataFrame([], columns=['sale_id', 'product_id', 'user_id', 'quantity']).astype({'sale_id':'Int64', 'product_id':'Int64', 'user_id':'Int64', 'quantity':'Int64'})\", \"Product = pd.DataFrame([], columns=['product_id', 'price']).astype({'product_id':'Int64', 'price':'Int64'})\"], \"postgresql\": [\"Create table If Not Exists Sales (sale_id int, product_id int, user_id int, quantity int)\", \"Create table If Not Exists Product (product_id int, price int)\"], \"database_schema\": {\"Sales\": {\"sale_id\": \"INT\", \"product_id\": \"INT\", \"user_id\": \"INT\", \"quantity\": \"INT\"}, \"Product\": {\"product_id\": \"INT\", \"price\": \"INT\"}}}",
             "judgerAvailable": true,
             "judgeType": "large",
             "mysqlSchemas": [
@@ -46,7 +53,7 @@
             "enableRunCode": true,
             "enableTestMode": false,
             "enableDebugger": false,
-            "envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"]}",
+            "envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"], \"pythondata\": [\"Pandas\", \"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0</p>\"], \"postgresql\": [\"PostgreSQL\", \"<p>PostgreSQL 16</p>\"]}",
             "libraryUrl": null,
             "adminUrl": null,
             "challengeQuestion": null,