{"id":7166,"date":"2025-09-17T11:35:47","date_gmt":"2025-09-17T02:35:47","guid":{"rendered":"https:\/\/blog.since2020.jp\/?p=7166"},"modified":"2025-09-17T11:35:47","modified_gmt":"2025-09-17T02:35:47","slug":"use_dataiku_and_openpyxl_for_business_efficiency_improvement","status":"publish","type":"post","link":"https:\/\/since2020.jp\/media\/use_dataiku_and_openpyxl_for_business_efficiency_improvement\/","title":{"rendered":"Dataiku \u00d7 openpyxl \u3067\u696d\u52d9\u52b9\u7387\u5316\uff01\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8Excel\u3092\u81ea\u52d5\u751f\u6210\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"\n

\u672c\u8a18\u4e8b\u3067\u306f\u3001Dataiku\u3067\u30c7\u30fc\u30bf\u3092\u6574\u3048\u3001openpyxl\u3092\u4f7f\u3063\u3066\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u901a\u308a\u306eExcel\u30d5\u30a1\u30a4\u30eb\u3092\u81ea\u52d5\u751f\u6210\u3059\u308b\u65b9\u6cd5\u3092\u3054\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n\n\n

\u306f\u3058\u3081\u306b<\/h2>\n

\u65e5\u3005\u306e\u696d\u52d9\u3067\u300c\u540c\u3058\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u306eExcel\u30d5\u30a1\u30a4\u30eb\u3092\u8907\u6570\u4f5c\u6210\u3059\u308b\u300d\u4f5c\u696d\u306b\u6642\u9593\u3092\u53d6\u3089\u308c\u3066\u3044\u307e\u305b\u3093\u304b\uff1f<\/p>\r\n

\u5e97\u8217\u5225\u306e\u58f2\u4e0a\u5831\u544a\u66f8\u3001\u90e8\u7f72\u3054\u3068\u306e\u6708\u6b21\u30ec\u30dd\u30fc\u30c8\u3001\u9867\u5ba2\u5411\u3051\u306e\u8acb\u6c42\u66f8\u306a\u3069\u3001\u5185\u5bb9\u306f\u7570\u306a\u3063\u3066\u3082\u30ec\u30a4\u30a2\u30a6\u30c8\u306f\u5171\u901a \u2015 \u305d\u3093\u306a\u5b9a\u578b\u8cc7\u6599\u306f\u3069\u306e\u8077\u5834\u306b\u3082\u5b58\u5728\u3057\u307e\u3059\u3002<\/p>\r\n

\u624b\u4f5c\u696d\u3067\u30b3\u30d4\u30fc\uff06\u30da\u30fc\u30b9\u30c8\u3092\u7e70\u308a\u8fd4\u3057\u3066\u3044\u308b\u3068\u3001\u30d2\u30e5\u30fc\u30de\u30f3\u30a8\u30e9\u30fc\u306e\u30ea\u30b9\u30af\u304c\u9ad8\u307e\u308b\u3046\u3048\u3001\u4f5c\u696d\u6642\u9593\u3082\u81a8\u308c\u4e0a\u304c\u308a\u307e\u3059\u3002<\/p>\r\n

\u305d\u3053\u3067\u672c\u8a18\u4e8b\u3067\u306f\u3001Dataiku<\/strong>\u3067\u30c7\u30fc\u30bf\u3092\u6574\u3048\u3001openpyxl<\/strong>\u3092\u4f7f\u3063\u3066\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u901a\u308a\u306eExcel\u30d5\u30a1\u30a4\u30eb\u3092\u81ea\u52d5\u751f\u6210\u3059\u308b\u65b9\u6cd5\u3092\u3054\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\r\n

\u4e00\u5ea6\u4ed5\u7d44\u307f\u3092\u4f5c\u3063\u3066\u3057\u307e\u3048\u3070\u3001\u6570\u767e\u30d5\u30a1\u30a4\u30eb\u3067\u3082\u6570\u5206\u3067\u51fa\u529b\u53ef\u80fd\u306b\u306a\u308a\u3001\u696d\u52d9\u52b9\u7387\u304c\u5927\u5e45\u306b\u5411\u4e0a\u3057\u307e\u3059\u3002<\/p>\r\n

<\/p>\n\n

\u4f7f\u7528\u30c4\u30fc\u30eb\u306e\u7d39\u4ecb<\/h2>\nDataiku<\/strong><\/b>\r\n

\u30ce\u30fc\u30b3\u30fc\u30c9\uff0f\u30ed\u30fc\u30b3\u30fc\u30c9\u3067\u30c7\u30fc\u30bf\u51e6\u7406\u3084\u5206\u6790\u304c\u3067\u304d\u308b\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3067\u3059\u3002SQL\u3084Python\u306b\u4e0d\u6163\u308c\u3067\u3082\u76f4\u611f\u7684\u306b\u30c7\u30fc\u30bf\u3092\u52a0\u5de5\u3067\u304d\u3001\u307e\u305fPython\u30ec\u30b7\u30d4\u3092\u4f7f\u3048\u3070\u9ad8\u5ea6\u306a\u51e6\u7406\u3082\u67d4\u8edf\u306b\u7d44\u307f\u8fbc\u3081\u307e\u3059\u3002\u672c\u8a18\u4e8b\u3067\u306f Excel\u51fa\u529b\u7528\u306e\u30c7\u30fc\u30bf\u3092\u6574\u5f62\u3059\u308b\u5f79\u5272<\/strong> \u3092\u62c5\u3044\u307e\u3059\u3002<\/p>\r\nopenpyxl<\/b>\r\n

Python \u3067 Excel\uff08.xlsx\uff09\u3092\u8aad\u307f\u66f8\u304d\u3067\u304d\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002\u30bb\u30eb\u306e\u5024\u306e\u66f4\u65b0\u306f\u3082\u3061\u308d\u3093\u3001\u66f8\u5f0f\u30fb\u7f6b\u7dda\u30fb\u30d5\u30a9\u30f3\u30c8\u306a\u3069\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u306e\u30ec\u30a4\u30a2\u30a6\u30c8\u3092\u4fdd\u6301\u3057\u305f\u307e\u307e\u7de8\u96c6\u3067\u304d\u308b\u70b9\u304c\u5f37\u307f\u3067\u3059\u3002\u4eca\u56de\u306f \u65e2\u5b58\u306e\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u3092\u5229\u7528\u3057\u3066\u8907\u6570\u30d5\u30a1\u30a4\u30eb\u3092\u81ea\u52d5\u751f\u6210\u3059\u308b\u5f79\u5272<\/strong> \u3092\u62c5\u3044\u307e\u3059\u3002<\/p>\r\n

<\/p>\n\n

\u4eca\u56de\u4f5c\u6210\u3059\u308b\u3082\u306e<\/h2>\n

\u4eca\u56de\u4f5c\u6210\u3059\u308b\u6210\u679c\u7269\u3068\u8aad\u307f\u8fbc\u3080\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\r\n\u6210\u679c\u7269<\/b>\r\n

\"\"<\/p>\r\n\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8<\/b>\r\n

\"\"<\/p>\n\n

\u5b9f\u88c5\u624b\u9806<\/h2>\n
    \r\n\t
  1. Dataiku\u306b\u30ed\u30b0\u30a4\u30f3\u3057\u3001\u300c+NEW PROJECT\u300d\u3067\u65b0\u3057\u3044\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3092\u4f5c\u6210\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/li>\r\n\t
  2. \u300c+Dataset\u300d\u304b\u3089\u300cFolder\u300d\u3092\u30af\u30ea\u30c3\u30af\u3057\u3066\u304f\u3060\u3055\u3044\u3002\"\"<\/li>\r\n\t
  3. \u4efb\u610f\u306e\u30e9\u30d9\u30eb\uff08Folder\u540d\uff09\u3092\u4ed8\u3051\u3066\u3001store into\u3092\u300cfilesystem_folders\u300d\u306b\u3057\u3066\u304f\u3060\u3055\u3044\u3002\"\"<\/li>\r\n\t
  4. \u4f5c\u6210\u3057\u305fFolder\u306b\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u3068\u306a\u308bExcel\u30d5\u30a1\u30a4\u30eb\u3092\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/li>\r\n\t
  5. \u6b21\u306bopenpyxl\u304c\u4f7f\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u3066\u3044\u304d\u307e\u3059\u3002\r\n\r\n
      <\/ol>\r\n

      a . Adminstration\u3092\u9078\u629e\u3057\u3066\u304f\u3060\u3055\u3044\"\"<\/p>\r\n

      b . Code Envs\u304b\u3089NEW PYTHON ENV\u3092\u9078\u629e\u3057\u3001\u65b0\u3057\u3044\u4eee\u60f3\u74b0\u5883\u3092\u4f5c\u6210\u3057\u307e\u3057\u3087\u3046\u3002\uff08\u3082\u3068\u3082\u3068\u4eee\u60f3\u74b0\u5883\u304c\u3042\u308b\u4eba\u306f\u305d\u3061\u3089\u3092\u9078\u629e\u3057\u3066\u304f\u3060\u3055\u3044\u3002\uff09<\/p>\r\n

      c . Packages to install\u3092\u9078\u629e\u3057\u3001xlsxwriter\u3092\u8ffd\u52a0\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\r\n

      b . \u30d5\u30ed\u30fc\u4e0a\u306b\u623b\u308a\u3001\u30bf\u30d6\u306eSettings\u3092\u9078\u629e\u3057\u3001Code env selection\u306ePython code env\u3092\u5148\u307b\u3069\u8ffd\u52a0\u3057\u305f\u3082\u306e\u306b\u5909\u66f4\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\r\n<\/li>\r\n\t

    1. Python\u30ec\u30b7\u30d4\u3092\u9078\u629e\u3057\u3001Input\u306b\u5148\u307b\u3069\u4f5c\u6210\u3057\u305f\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8Folder\u3001Output\u306b\u4efb\u610f\u306e\u540d\u524d\u3092\u5165\u529b\u3057\u3001\u300cCREATE RECIPE\u300d\u3092\u9078\u629e\u3057\u3066\u304f\u3060\u3055\u3044\u3002\"\"<\/li>\r\n\t
    2. \u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3092\u53c2\u8003\u306b\u3001Python\u30ec\u30b7\u30d4\u5185\u306b\u30b3\u30fc\u30c9\u3092\u8a18\u8f09\u3057\u3066\u304f\u3060\u3055\u3044\u3002\r\n\r\n
      \r\n
      import dataiku\r\nimport pandas as pd, numpy as np\r\nfrom dataiku import pandasutils as pdu\r\nfrom openpyxl import load_workbook,Workbook\r\n\r\n# \u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u30d5\u30a9\u30eb\u30c0\u306e\u5ba3\u8a00\r\ntemplate_folder_id = \"template_folder\" # \u30d5\u30a9\u30eb\u30c0ID\u3092\u8a2d\u5b9a\u3059\u308b\r\ntemplate_folder = dataiku.Folder(template_folder_id)\r\n\r\n# \u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u8aad\u307f\u8fbc\u307f\r\nexcel_file_path = os.path.join(template_folder.get_path(), \"\u30d6\u30ed\u30b0\u7528\u30a8\u30af\u30bb\u30eb.xlsx\")\r\nwb = load_workbook(excel_file_path)\r\nws = wb.active\r\n\r\n# ---- Excel\u5185\u306b\u5024\u3092\u633f\u5165 --------------------\r\nvalues_list = [1000, 2000, 1500, 1500, 3000, 500, 2000]\r\n\r\nstart_row, start_col = 3, 2 # B5 \u304c (row=5, col=2)\r\npercentage = 0.1\r\ntotal_sum = 0\r\n\r\nfor i in range(len(values_list)):\r\n  # B\u5217\u306bvalues_list\u306e\u5024\u3092\u633f\u5165\r\n  value_b = values_list[i]\r\n  ws.cell(row=start_row + i, column=start_col, value=value_b)\r\n\r\n  # C\u5217\u306bB\u5217\u306e10%\u306e\u91d1\u984d\u3092\u633f\u5165\r\n  value_c = value_b * percentage\r\n  ws.cell(row=start_row + i, column=start_col + 1, value=value_c)\r\n\r\n  # D\u5217\u306bB\u5217\u3068C\u5217\u306e\u5408\u8a08\u3092\u633f\u5165\r\n  value_d = value_b + value_c\r\n  ws.cell(row=start_row + i, column=start_col + 2, value=value_d)\r\n\r\n# Excel_Folder \u306b\u4fdd\u5b58\r\ndef save_wb_to_folder(wb, folder_id, excel_name):\r\n  folder = dataiku.Folder(folder_id)\r\n  if folder.get_path(): # \u30ed\u30fc\u30ab\u30eb\u63a5\u7d9a\r\n    wb.save(os.path.join(folder.get_path(), excel_name))\r\n\r\nsave_wb_to_folder(wb, \"output_folder\", \"output.xlsx\")<\/code><\/pre>\r\n<\/div>\r\n<\/li>\r\n\t
    3. output_folder\u306e\u4e2d\u306eoutput.xlsx\u306e\u4e2d\u8eab\u3092\u78ba\u8a8d\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/li>\r\n<\/ol>\r\n
      \u3000output.xlsx<\/p>\r\n
      <\/p>\r\n
      \"\"<\/p>\r\n
      \u6210\u679c\u7269\u3068\u540c\u3058\u3082\u306e\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\u3002<\/p>\n\n
      \u8907\u6570\u306e\u30d5\u30a1\u30a4\u30eb\u3092\u51fa\u529b\u3059\u308b\u65b9\u6cd5<\/h2>\n
      \u5148\u307b\u3069\u306e\u30b3\u30fc\u30c9\u3092\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u5909\u3048\u308b\u3053\u3068\u3067\u8907\u6570\u306e\u30b7\u30fc\u30c8\u3092\u6301\u3064\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306b\u3059\u308b\u3053\u3068\u3082\u53ef\u80fd\u3067\u3059\u3002<\/p>\r\n
      \r\n
      import dataiku\r\nimport pandas as pd\r\nimport numpy as np\r\nfrom dataiku import pandasutils as pdu\r\nfrom openpyxl import Workbook\r\n\r\n# \u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u30d5\u30a9\u30eb\u30c0\u306e\u5ba3\u8a00\r\ntemplate_folder_id = \"template_folder\" # \u30d5\u30a9\u30eb\u30c0ID\u3092\u8a2d\u5b9a\u3059\u308b\r\ntemplate_folder = dataiku.Folder(template_folder_id)\r\n\r\n# \u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u8aad\u307f\u8fbc\u307f\r\nwb = Workbook()\r\nvalues_list = [1000, 2000, 1500, 1500, 3000, 500, 2000]\r\npercentage = 0.1\r\n\r\ndef insert_data_into_sheet(ws, values_list, start_row, start_col):\r\n  for i in range(len(values_list)):\r\n    # B\u5217\u306bvalues_list\u306e\u5024\u3092\u633f\u5165\r\n    value_b = values_list[i]\r\n    ws.cell(row=start_row + i, column=start_col, value=value_b)\r\n\r\n    # C\u5217\u306bB\u5217\u306e10%\u306e\u91d1\u984d\u3092\u633f\u5165\r\n    value_c = value_b * percentage\r\n    ws.cell(row=start_row + i, column=start_col + 1, value=value_c)\r\n\r\n    # D\u5217\u306bB\u5217\u3068C\u5217\u306e\u5408\u8a08\u3092\u633f\u5165\r\n    value_d = value_b + value_c\r\n    ws.cell(row=start_row + i, column=start_col + 2, value=value_d)\r\n\r\n# \u30b7\u30fc\u30c81\u306b\u30c7\u30fc\u30bf\u3092\u633f\u5165\r\nws1 = wb.active\r\nws1.title = \"Sheet1\"\r\ninsert_data_into_sheet(ws1, values_list, start_row=3, start_col=2)\r\n\r\n# \u30b7\u30fc\u30c82\u306b\u30c7\u30fc\u30bf\u3092\u633f\u5165\r\nws2 = wb.create_sheet(title=\"Sheet2\")\r\ninsert_data_into_sheet(ws2, values_list, start_row=3, start_col=2)\r\n\r\n# \u30b7\u30fc\u30c83\u306b\u30c7\u30fc\u30bf\u3092\u633f\u5165\r\nws3 = wb.create_sheet(title=\"Sheet3\")\r\ninsert_data_into_sheet(ws3, values_list, start_row=3, start_col=2)\r\n\r\n# Excel\u30d5\u30a1\u30a4\u30eb\u3092\u4fdd\u5b58\u3059\u308b\u95a2\u6570\r\ndef save_wb_to_folder(wb, folder_id, excel_name):\r\n  output_folder = dataiku.Folder(folder_id)\r\n  if output_folder.get_path(): # \u30ed\u30fc\u30ab\u30eb\u63a5\u7d9a\r\n    wb.save(os.path.join(output_folder.get_path(), excel_name))\r\n\r\n# Excel\u30d5\u30a1\u30a4\u30eb\u3092\u6307\u5b9a\u3057\u305f\u30d5\u30a9\u30eb\u30c0\u306b\u4fdd\u5b58\r\nsave_wb_to_folder(wb, \"output_folder\", \"output.xlsx\")<\/code><\/pre>\r\n<\/div>\r\n
      \u4eca\u56de\u306f\u4e00\u3064\u306e\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u3057\u304b\u8aad\u307f\u8fbc\u3093\u3067\u3044\u306a\u3044\u3067\u3059\u304c\u3001\u8907\u6570\u306e\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u304c\u3042\u308b\u5834\u5408\u3067\u3082\u3001\u540c\u3058\u3088\u3046\u306b\u30b7\u30fc\u30c8\u3054\u3068\u306b\u51e6\u7406\u3092\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3059\u3002<\/p>\n\n
      \u307e\u3068\u3081<\/h2>\n
      \u672c\u8a18\u4e8b\u3067\u306f\u3001Dataiku \u3068 openpyxl \u3092\u7d44\u307f\u5408\u308f\u305b\u3066 \u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u901a\u308a\u306eExcel\u30d5\u30a1\u30a4\u30eb\u3092\u81ea\u52d5\u751f\u6210\u3059\u308b\u4ed5\u7d44\u307f<\/strong> \u3092\u7d39\u4ecb\u3057\u307e\u3057\u305f\u3002<\/p>\r\n
      \u624b\u4f5c\u696d\u3067\u306f\u6570\u6642\u9593\u304b\u304b\u308b\u4f5c\u696d\u3092\u81ea\u52d5\u5316\u3059\u308b\u3053\u3068\u3067\u3001\u6642\u9593\u306e\u7bc0\u7d04\u3060\u3051\u3067\u306a\u304f\u3001\u4eba\u70ba\u7684\u306a\u30df\u30b9\u3092\u9632\u304e\u3001\u3088\u308a\u4fa1\u5024\u306e\u9ad8\u3044\u5206\u6790\u3084\u610f\u601d\u6c7a\u5b9a\u306b\u96c6\u4e2d\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308b\u3067\u3057\u3087\u3046\u3002<\/p>\r\n
      <\/p>","protected":false},"excerpt":{"rendered":"
      \u672c\u8a18\u4e8b\u3067\u306f\u3001Dataiku\u3067\u30c7\u30fc\u30bf\u3092\u6574\u3048\u3001openpyxl\u3092\u4f7f\u3063\u3066\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u901a\u308a\u306eExcel\u30d5\u30a1\u30a4\u30eb\u3092\u81ea\u52d5\u751f\u6210\u3059\u308b\u65b9\u6cd5\u3092\u3054\u7d39\u4ecb\u3057\u307e\u3059\u3002 \u306f\u3058\u3081\u306b \u65e5\u3005\u306e\u696d\u52d9\u3067\u300c\u540c\u3058\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u306eExcel\u30d5\u30a1\u30a4\u30eb\u3092\u8907\u6570\u4f5c\u6210\u3059\u308b\u300d\u4f5c\u696d\u306b […]<\/p>\n","protected":false},"author":19,"featured_media":7118,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","swell_btn_cv_data":"","footnotes":"","_wp_rev_ctl_limit":""},"categories":[1246],"tags":[96,199,1137,331,921],"class_list":["post-7166","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-infrastructure","tag-ai","tag-dataiku","tag-openpyxl","tag-python","tag-921"],"_links":{"self":[{"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/posts\/7166","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/comments?post=7166"}],"version-history":[{"count":1,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/posts\/7166\/revisions"}],"predecessor-version":[{"id":7812,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/posts\/7166\/revisions\/7812"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/media\/7118"}],"wp:attachment":[{"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/media?parent=7166"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/categories?post=7166"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/tags?post=7166"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}