{"id":112780,"date":"2026-10-04T20:34:12","date_gmt":"2026-10-04T12:34:12","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/112780.html"},"modified":"2026-10-04T20:34:12","modified_gmt":"2026-10-04T12:34:12","slug":"%e8%ae%a1%e7%ae%97%e6%9c%ba%e6%af%95%e4%b8%9a%e8%ae%be%e8%ae%a1%e9%80%89%e9%a2%98%e6%8e%a8%e8%8d%90%e5%9f%ba%e4%ba%8e%e5%a4%a7%e6%95%b0%e6%8d%ae%e7%9a%84%e5%85%a8%e7%90%83%e4%ba%a7%e5%93%81%e5%ba%93","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/112780.html","title":{"rendered":"\u8ba1\u7b97\u673a\u6bd5\u4e1a\u8bbe\u8ba1\u9009\u9898\u63a8\u8350:\u57fa\u4e8e\u5927\u6570\u636e\u7684\u5168\u7403\u4ea7\u54c1\u5e93\u5b58\u6570\u636e\u53ef\u89c6\u5316\u5206\u6790|\u6bd5\u4e1a\u8bbe\u8ba1\u9009\u9898|\u8ba1\u7b97\u673a\u6bd5\u8bbe|\u9009\u9898\u63a8\u8350|\u6bd5\u8bbe\u6307\u5bfc|\u9879\u76ee\u5b9a\u5236|\u6e90\u7801|\u9ad8\u8d28\u91cf\u9879\u76ee"},"content":{"rendered":"<p>\u2728\u4f5c\u8005\u4e3b\u9875&#xff1a;IT\u6bd5\u8bbe\u68a6\u5de5\u5382\u2728 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<img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261004123406-6ac247be1f4f4.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261004123406-6ac247beba21f.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261004123407-6ac247bf56f16.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261004123407-6ac247bfe9c60.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261004123408-6ac247c08c0e3.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261004123409-6ac247c1227fb.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261004123409-6ac247c1b4903.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261004123410-6ac247c24f26a.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261004123410-6ac247c2dc3f7.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/li>\n<\/ul>\n<h2>\u56db\u3001\u90e8\u5206\u4ee3\u7801\u8bbe\u8ba1<\/h2>\n<ul>\n<li>\u9879\u76ee\u5b9e\u6218-\u4ee3\u7801\u53c2\u8003&#xff1a;<\/li>\n<\/ul>\n<p><span class=\"token keyword\">from<\/span> pyspark<span class=\"token punctuation\">.<\/span>sql <span class=\"token keyword\">import<\/span> SparkSession<span class=\"token punctuation\">,<\/span> functions <span class=\"token keyword\">as<\/span> F<br \/>\nspark <span class=\"token operator\">&#061;<\/span> SparkSession<span class=\"token punctuation\">.<\/span>builder<span class=\"token punctuation\">.<\/span>appName<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;GlobalProductInventoryAnalysis&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>master<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;local[*]&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>config<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;spark.sql.shuffle.partitions&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;4&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>getOrCreate<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">def<\/span> <span class=\"token function\">category_structure_analysis<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    df <span class=\"token operator\">&#061;<\/span> spark<span class=\"token punctuation\">.<\/span>read<span class=\"token punctuation\">.<\/span>option<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;header&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>option<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;inferSchema&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>csv<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;hdfs:\/\/localhost:9000\/inventory\/product_inventory.csv&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    df <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span>withColumn<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stock_amount&#034;<\/span><span class=\"token punctuation\">,<\/span> F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stock_qty&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">*<\/span> F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;price&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    df<span class=\"token punctuation\">.<\/span>createOrReplaceTempView<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;product_inventory&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    category_df <span class=\"token operator\">&#061;<\/span> spark<span class=\"token punctuation\">.<\/span>sql<span class=\"token punctuation\">(<\/span><span class=\"token triple-quoted-string string\">&#034;&#034;&#034;<br \/>\n        SELECT category,<br \/>\n               COUNT(DISTINCT product_id) AS product_count,<br \/>\n               SUM(stock_qty) AS total_stock,<br \/>\n               SUM(stock_amount) AS total_amount,<br \/>\n               AVG(price) AS avg_price<br \/>\n        FROM product_inventory<br \/>\n        GROUP BY category<br \/>\n    &#034;&#034;&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    total_amount <span class=\"token operator\">&#061;<\/span> category_df<span class=\"token punctuation\">.<\/span>agg<span class=\"token punctuation\">(<\/span>F<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">sum<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;total_amount&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>alias<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;all_amount&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>collect<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;all_amount&#034;<\/span><span class=\"token punctuation\">]<\/span><br \/>\n    category_df <span class=\"token operator\">&#061;<\/span> category_df<span class=\"token punctuation\">.<\/span>withColumn<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;amount_ratio&#034;<\/span><span class=\"token punctuation\">,<\/span> F<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">round<\/span><span class=\"token punctuation\">(<\/span>F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;total_amount&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">\/<\/span> total_amount <span class=\"token operator\">*<\/span> <span class=\"token number\">100<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    category_df <span class=\"token operator\">&#061;<\/span> category_df<span class=\"token punctuation\">.<\/span>orderBy<span class=\"token punctuation\">(<\/span>F<span class=\"token punctuation\">.<\/span>desc<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;total_amount&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    result <span class=\"token operator\">&#061;<\/span> category_df<span class=\"token punctuation\">.<\/span>toPandas<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>to_dict<span class=\"token punctuation\">(<\/span>orient<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;records&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> <span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;category_structure&#034;<\/span><span class=\"token punctuation\">:<\/span> result<span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;total_amount&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token builtin\">float<\/span><span class=\"token punctuation\">(<\/span>total_amount<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><br \/>\n<span class=\"token keyword\">def<\/span> <span class=\"token function\">inventory_level_analysis<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    df <span class=\"token operator\">&#061;<\/span> spark<span class=\"token punctuation\">.<\/span>read<span class=\"token punctuation\">.<\/span>option<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;header&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>option<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;inferSchema&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>csv<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;hdfs:\/\/localhost:9000\/inventory\/product_inventory.csv&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    df <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span>withColumn<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stock_amount&#034;<\/span><span class=\"token punctuation\">,<\/span> F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stock_qty&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">*<\/span> F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;price&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    df <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span>withColumn<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stock_status&#034;<\/span><span class=\"token punctuation\">,<\/span> F<span class=\"token punctuation\">.<\/span>when<span class=\"token punctuation\">(<\/span>F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stock_qty&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&lt;&#061;<\/span> F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;safe_stock&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;\u77ed\u7f3a&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>when<span class=\"token punctuation\">(<\/span>F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stock_qty&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&gt;&#061;<\/span> F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;max_stock&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;\u79ef\u538b&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>otherwise<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\u6b63\u5e38&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    df <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span>withColumn<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stock_gap&#034;<\/span><span class=\"token punctuation\">,<\/span> F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stock_qty&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#8211;<\/span> F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;safe_stock&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    df<span class=\"token punctuation\">.<\/span>createOrReplaceTempView<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;inventory_level&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    level_df <span class=\"token operator\">&#061;<\/span> spark<span class=\"token punctuation\">.<\/span>sql<span class=\"token punctuation\">(<\/span><span class=\"token triple-quoted-string string\">&#034;&#034;&#034;<br \/>\n        SELECT category,<br \/>\n               stock_status,<br \/>\n               COUNT(DISTINCT product_id) AS product_count,<br \/>\n               SUM(stock_qty) AS total_stock,<br \/>\n               SUM(stock_amount) AS total_amount,<br \/>\n               AVG(stock_gap) AS avg_gap<br \/>\n        FROM inventory_level<br \/>\n        GROUP BY category, stock_status<br \/>\n    &#034;&#034;&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    level_df <span class=\"token operator\">&#061;<\/span> level_df<span class=\"token punctuation\">.<\/span>withColumn<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;status_rank&#034;<\/span><span class=\"token punctuation\">,<\/span> F<span class=\"token punctuation\">.<\/span>when<span class=\"token punctuation\">(<\/span>F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stock_status&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#061;&#061;<\/span> <span class=\"token string\">&#034;\u77ed\u7f3a&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>when<span class=\"token punctuation\">(<\/span>F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stock_status&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#061;&#061;<\/span> <span class=\"token string\">&#034;\u79ef\u538b&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>otherwise<span class=\"token punctuation\">(<\/span><span class=\"token number\">3<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    level_df <span class=\"token operator\">&#061;<\/span> level_df<span class=\"token punctuation\">.<\/span>orderBy<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;status_rank&#034;<\/span><span class=\"token punctuation\">,<\/span> F<span class=\"token punctuation\">.<\/span>desc<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;total_amount&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    result <span class=\"token operator\">&#061;<\/span> level_df<span class=\"token punctuation\">.<\/span>drop<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;status_rank&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>toPandas<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>to_dict<span class=\"token punctuation\">(<\/span>orient<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;records&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    warning_count <span class=\"token operator\">&#061;<\/span> level_df<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">filter<\/span><span class=\"token punctuation\">(<\/span>F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stock_status&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">!&#061;<\/span> <span class=\"token string\">&#034;\u6b63\u5e38&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>count<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> <span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;inventory_level&#034;<\/span><span class=\"token punctuation\">:<\/span> result<span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;warning_count&#034;<\/span><span class=\"token punctuation\">:<\/span> warning_count<span class=\"token punctuation\">}<\/span><br \/>\n<span class=\"token keyword\">def<\/span> <span class=\"token function\">inventory_profile_analysis<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    df <span class=\"token operator\">&#061;<\/span> spark<span class=\"token punctuation\">.<\/span>read<span class=\"token punctuation\">.<\/span>option<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;header&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>option<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;inferSchema&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>csv<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;hdfs:\/\/localhost:9000\/inventory\/product_inventory.csv&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    df <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span>withColumn<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;price_band&#034;<\/span><span class=\"token punctuation\">,<\/span> F<span class=\"token punctuation\">.<\/span>when<span class=\"token punctuation\">(<\/span>F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;price&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&lt;<\/span> <span class=\"token number\">100<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;\u4f4e\u4ef7&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>when<span class=\"token punctuation\">(<\/span>F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;price&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&lt;<\/span> <span class=\"token number\">500<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;\u4e2d\u4ef7&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>otherwise<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\u9ad8\u4ef7&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    df <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span>withColumn<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;warranty_tag&#034;<\/span><span class=\"token punctuation\">,<\/span> F<span class=\"token punctuation\">.<\/span>when<span class=\"token punctuation\">(<\/span>F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;warranty_months&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&gt;&#061;<\/span> <span class=\"token number\">24<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;\u957f\u4fdd\u4fee&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>when<span class=\"token punctuation\">(<\/span>F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;warranty_months&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&gt;&#061;<\/span> <span class=\"token number\">12<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;\u6807\u51c6\u4fdd\u4fee&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>otherwise<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\u77ed\u4fdd\u4fee&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    df <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span>withColumn<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;expiry_tag&#034;<\/span><span class=\"token punctuation\">,<\/span> F<span class=\"token punctuation\">.<\/span>when<span class=\"token punctuation\">(<\/span>F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;expiry_days&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&lt;&#061;<\/span> <span class=\"token number\">30<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;\u8fd1\u6548\u671f&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>when<span class=\"token punctuation\">(<\/span>F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;expiry_days&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&lt;&#061;<\/span> <span class=\"token number\">90<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;\u4e2d\u6548\u671f&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>otherwise<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\u8fdc\u6548\u671f&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    df <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span>withColumn<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stock_amount&#034;<\/span><span class=\"token punctuation\">,<\/span> F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stock_qty&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">*<\/span> F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;price&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    df<span class=\"token punctuation\">.<\/span>createOrReplaceTempView<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;inventory_profile&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    profile_df <span class=\"token operator\">&#061;<\/span> spark<span class=\"token punctuation\">.<\/span>sql<span class=\"token punctuation\">(<\/span><span class=\"token triple-quoted-string string\">&#034;&#034;&#034;<br \/>\n        SELECT category,<br \/>\n               price_band,<br \/>\n               warranty_tag,<br \/>\n               expiry_tag,<br \/>\n               COUNT(DISTINCT product_id) AS product_count,<br \/>\n               SUM(stock_qty) AS total_stock,<br \/>\n               SUM(stock_amount) AS total_amount,<br \/>\n               AVG(price) AS avg_price<br \/>\n        FROM inventory_profile<br \/>\n        GROUP BY category, price_band, warranty_tag, expiry_tag<br \/>\n    &#034;&#034;&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    profile_df <span class=\"token operator\">&#061;<\/span> profile_df<span class=\"token punctuation\">.<\/span>withColumn<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;profile_score&#034;<\/span><span class=\"token punctuation\">,<\/span> F<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">round<\/span><span class=\"token punctuation\">(<\/span>F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;total_amount&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">\/<\/span> <span class=\"token number\">1000<\/span> <span class=\"token operator\">&#043;<\/span> F<span class=\"token punctuation\">.<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;product_count&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">*<\/span> <span class=\"token number\">0.5<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    profile_df <span class=\"token operator\">&#061;<\/span> profile_df<span class=\"token punctuation\">.<\/span>orderBy<span class=\"token punctuation\">(<\/span>F<span class=\"token punctuation\">.<\/span>desc<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;profile_score&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    result 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