存量题库数据更新

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

@@ -11,10 +11,10 @@
             "translatedContent": null,
             "isPaidOnly": true,
             "difficulty": "Easy",
-            "likes": 56,
-            "dislikes": 143,
+            "likes": 77,
+            "dislikes": 178,
             "isLiked": null,
-            "similarQuestions": "[{\"title\": \"Product Sales Analysis I\", \"titleSlug\": \"product-sales-analysis-i\", \"difficulty\": \"Easy\", \"translatedTitle\": null}, {\"title\": \"Product Sales Analysis III\", \"titleSlug\": \"product-sales-analysis-iii\", \"difficulty\": \"Medium\", \"translatedTitle\": null}]",
+            "similarQuestions": "[{\"title\": \"Product Sales Analysis I\", \"titleSlug\": \"product-sales-analysis-i\", \"difficulty\": \"Easy\", \"translatedTitle\": null}, {\"title\": \"Product Sales Analysis III\", \"titleSlug\": \"product-sales-analysis-iii\", \"difficulty\": \"Medium\", \"translatedTitle\": null}, {\"title\": \"Product Sales Analysis IV\", \"titleSlug\": \"product-sales-analysis-iv\", \"difficulty\": \"Medium\", \"translatedTitle\": null}, {\"title\": \"Product Sales Analysis V\", \"titleSlug\": \"product-sales-analysis-v\", \"difficulty\": \"Easy\", \"translatedTitle\": null}]",
             "exampleTestcases": "{\"headers\":{\"Sales\":[\"sale_id\",\"product_id\",\"year\",\"quantity\",\"price\"],\"Product\":[\"product_id\",\"product_name\"]},\"rows\":{\"Sales\":[[1,100,2008,10,5000],[2,100,2009,12,5000],[7,200,2011,15,9000]],\"Product\":[[100,\"Nokia\"],[200,\"Apple\"],[300,\"Samsung\"]]}}",
             "categoryTitle": "Database",
             "contributors": [],
@@ -28,12 +28,19 @@
             ],
             "companyTagStats": null,
             "codeSnippets": null,
-            "stats": "{\"totalAccepted\": \"39.2K\", \"totalSubmission\": \"47.6K\", \"totalAcceptedRaw\": 39216, \"totalSubmissionRaw\": 47561, \"acRate\": \"82.5%\"}",
+            "stats": "{\"totalAccepted\": \"51K\", \"totalSubmission\": \"62.3K\", \"totalAcceptedRaw\": 50962, \"totalSubmissionRaw\": 62289, \"acRate\": \"81.8%\"}",
             "hints": [],
-            "solution": null,
+            "solution": {
+                "id": "2092",
+                "canSeeDetail": true,
+                "paidOnly": false,
+                "hasVideoSolution": false,
+                "paidOnlyVideo": true,
+                "__typename": "ArticleNode"
+            },
             "status": null,
             "sampleTestCase": "{\"headers\":{\"Sales\":[\"sale_id\",\"product_id\",\"year\",\"quantity\",\"price\"],\"Product\":[\"product_id\",\"product_name\"]},\"rows\":{\"Sales\":[[1,100,2008,10,5000],[2,100,2009,12,5000],[7,200,2011,15,9000]],\"Product\":[[100,\"Nokia\"],[200,\"Apple\"],[300,\"Samsung\"]]}}",
-            "metaData": "{\n  \"mysql\": [\n    \"Create table If Not Exists Sales (sale_id int, product_id int, year int, quantity int, price int)\",\n    \"Create table If Not Exists Product (product_id int, product_name varchar(10))\"\n  ],\n  \"mssql\": [\n    \"Create table Sales (sale_id int, product_id int, year int, quantity int, price int)\",\n    \"Create table Product (product_id int, product_name varchar(10))\"\n  ],\n  \"oraclesql\": [\n    \"Create table Sales (sale_id int, product_id int, year int, quantity int, price int)\",\n    \"Create table Product (product_id int, product_name varchar(10))\"\n  ],\n  \"database\": true\n}",
+            "metaData": "{\"mysql\": [\"Create table If Not Exists Sales (sale_id int, product_id int, year int, quantity int, price int)\", \"Create table If Not Exists Product (product_id int, product_name varchar(10))\"], \"mssql\": [\"Create table Sales (sale_id int, product_id int, year int, quantity int, price int)\", \"Create table Product (product_id int, product_name varchar(10))\"], \"oraclesql\": [\"Create table Sales (sale_id int, product_id int, year int, quantity int, price int)\", \"Create table Product (product_id int, product_name varchar(10))\"], \"database\": true, \"name\": \"sales_analysis\", \"pythondata\": [\"Sales = pd.DataFrame([], columns=['sale_id', 'product_id', 'year', 'quantity', 'price']).astype({'sale_id':'Int64', 'product_id':'Int64', 'year':'Int64', 'quantity':'Int64', 'price':'Int64'})\", \"Product = pd.DataFrame([], columns=['product_id', 'product_name']).astype({'product_id':'Int64', 'product_name':'object'})\"], \"postgresql\": [\"Create table If Not Exists Sales (sale_id int, product_id int, year int, quantity int, price int)\\n\", \"Create table If Not Exists Product (product_id int, product_name varchar(10))\"], \"database_schema\": {\"Sales\": {\"sale_id\": \"INT\", \"product_id\": \"INT\", \"year\": \"INT\", \"quantity\": \"INT\", \"price\": \"INT\"}, \"Product\": {\"product_id\": \"INT\", \"product_name\": \"VARCHAR(10)\"}}}",
             "judgerAvailable": true,
             "judgeType": "large",
             "mysqlSchemas": [
@@ -51,7 +58,7 @@
             "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,