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{"remainingRequest":"C:\\Users\\27446\\Desktop\\up\\front\\dkha-web-sz-main\\node_modules\\babel-loader\\lib\\index.js!C:\\Users\\27446\\Desktop\\up\\front\\dkha-web-sz-main\\src\\utils\\mergeCell.js","dependencies":[{"path":"C:\\Users\\27446\\Desktop\\up\\front\\dkha-web-sz-main\\src\\utils\\mergeCell.js","mtime":1614735254000},{"path":"C:\\Users\\27446\\Desktop\\up\\front\\dkha-web-sz-main\\node_modules\\cache-loader\\dist\\cjs.js","mtime":499162500000},{"path":"C:\\Users\\27446\\Desktop\\up\\front\\dkha-web-sz-main\\node_modules\\babel-loader\\lib\\index.js","mtime":499162500000}],"contextDependencies":[],"result":["import \"core-js/modules/web.dom.iterable\";\n\n/**\n * 构建合并列数据\n * 思路遍历所有数据将需要合并的列的内容作为key数据id作为value然后依次遍历获取对应的合并列的行数\n * @param\tdataList\t列表数据\n * @param\tlabel1\t\t第1列合并的字段名称\n * @param label2\t\t第2列合并的字段名称\n * @param label3\t\t第3列合并的字段名称\n * @param label4\t\t第4列合并的字段名称\n */\nexport function buildMerge(dataList) {\n var label1 = arguments.length > 1 && arguments[1] 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dataList[i][label4]\n\n\t\tif (!firstObj[firstObjKey])\n\t\t\tfirstObj[firstObjKey] = new Array(dataList[i].id)\n\t\telse {\n\t\t\tfirstObj[firstObjKey].push(dataList[i].id)\n\t\t}\n\t\tif (!secondObj[secondObjKey])\n\t\t\tsecondObj[secondObjKey] = new Array(dataList[i].id)\n\t\telse {\n\t\t\tsecondObj[secondObjKey].push(dataList[i].id)\n\t\t}\n\t\tif (!thirdObj[thirdObjKey])\n\t\t\tthirdObj[thirdObjKey] = new Array(dataList[i].id)\n\t\telse {\n\t\t\tthirdObj[thirdObjKey].push(dataList[i].id)\n\t\t}\n\t\tif (!fourthObj[fourthObjKey])\n\t\t\tfourthObj[fourthObjKey] = new Array(dataList[i].id)\n\t\telse {\n\t\t\tfourthObj[fourthObjKey].push(dataList[i].id)\n\t\t}\n\t}\n\tcomputeFirstSpan(dataList, firstObj, secondObj, thirdObj, fourthObj)\n}\n// 计算第一列合并总数\nfunction computeFirstSpan(dataList, firstObj, secondObj, thirdObj, fourthObj) {\n\t// 遍历计算第一列合并行数\n\tfor (let obj in firstObj) {\n\t\tlet fristData = dataList.filter(d => d.id === firstObj[obj][0])[0]\n\t\t// 获取第一条数据,对其添加 'firstSpan' 属性,并设置值\n\t\tif (fristData) fristData['firstSpan'] = firstObj[obj].length\n\t\tcomputeSecondSpan(dataList, firstObj[obj], secondObj, thirdObj, fourthObj)\n\t}\n}\n\n// 计算第二列合并总数\nfunction computeSecondSpan(dataList, classList, secondObj, thirdObj, fourthObj) {\n\tlet secondList = []\n\t// 遍历计算第二列合并行数\n\tfor (let obj in secondObj) {\n\t\t// 判断两个id数组取其并集并集的长度就是合并列的行数\n\t\tlet secondIds = secondObj[obj].filter(val => {\n\t\t\treturn classList.indexOf(val) > -1\n\t\t})\n\t\tlet fristData = dataList.filter(d => d.id === secondIds[0])[0]\n\t\t// 获取第一条数据,对其添加 'secondSpan' 属性,并设置值\n\t\tif (fristData) fristData['secondSpan'] = secondIds.length\n\t\tsecondList.push(secondIds)\n\t}\n\tsecondList.forEach(list => {\n\t\tcomputeThirdSpan(dataList, list, thirdObj, fourthObj)\n\t})\n}\n// 计算第三列合并总数\nfunction computeThirdSpan(dataList, list, thirdObj, fourthObj) {\n\tlet thirdList = []\n\t// 遍历计算第三列合并行数\n\tfor (let obj in thirdObj) {\n\t\tlet thirdIds = thirdObj[obj].filter(val => {\n\t\t\treturn list.indexOf(val) > -1\n\t\t})\n\t\tlet fristData = dataList.filter(d => d.id === thirdIds[0])[0]\n\t\t// 获取第一条数据,对其添加 'thirdSpan' 属性,并设置值\n\t\tif (fristData) fristData['thirdSpan'] = thirdIds.length\n\t\tthirdList.push(thirdIds)\n\t}\n\tthirdList.forEach(list => {\n\t\tcomputeFourthSpan(dataList, list, fourthObj)\n\t})\n}\n// 计算第四列合并总数\nfunction computeFourthSpan(dataList, list, fourthObj) {\n\t// 遍历计算第四列合并行数\n\tfor (let obj in fourthObj) {\n\t\tlet fourthIds = fourthObj[obj].filter(val => {\n\t\t\treturn list.indexOf(val) > -1\n\t\t})\n\t\tlet fristData = dataList.filter(d => d.id === fourthIds[0])[0]\n\t\t// 获取第一条数据,对其添加 'fourthSpan' 属性,并设置值\n\t\tif (fristData) fristData['fourthSpan'] = fourthIds.length\n\t}\n}\n"]}]}