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+ "resolved": "https://registry.npmjs.org/css-box-model/-/css-box-model-1.2.1.tgz", + "integrity": "sha512-a7Vr4Q/kd/aw96bnJG332W9V9LkJO69JRcaCYDUqjp6/z0w6VcZjgAcTbgFxEPfBgdnAwlh3iwu+hLopa+flJw==", + "requires": { + "tiny-invariant": "^1.0.6" + } + }, "css-declaration-sorter": { "version": "6.3.1", "resolved": "https://registry.npmjs.org/css-declaration-sorter/-/css-declaration-sorter-6.3.1.tgz", @@ -27796,6 +28031,16 @@ "resolved": "https://registry.npmjs.org/dlv/-/dlv-1.1.3.tgz", "integrity": "sha512-+HlytyjlPKnIG8XuRG8WvmBP8xs8P71y+SKKS6ZXWoEgLuePxtDoUEiH7WkdePWrQ5JBpE6aoVqfZfJUQkjXwA==" }, + "dnd-core": { + "version": "16.0.1", + "resolved": "https://registry.npmjs.org/dnd-core/-/dnd-core-16.0.1.tgz", + "integrity": "sha512-HK294sl7tbw6F6IeuK16YSBUoorvHpY8RHO+9yFfaJyCDVb6n7PRcezrOEOa2SBCqiYpemh5Jx20ZcjKdFAVng==", + "requires": { + "@react-dnd/asap": "^5.0.1", + "@react-dnd/invariant": "^4.0.1", + "redux": "^4.2.0" + } + }, "dns-equal": { "version": "1.0.0", "resolved": "https://registry.npmjs.org/dns-equal/-/dns-equal-1.0.0.tgz", @@ -29682,6 +29927,14 @@ "@babel/runtime": "^7.7.6" } }, + "hoist-non-react-statics": { + "version": "3.3.2", + "resolved": "https://registry.npmjs.org/hoist-non-react-statics/-/hoist-non-react-statics-3.3.2.tgz", + "integrity": "sha512-/gGivxi8JPKWNm/W0jSmzcMPpfpPLc3dY/6GxhX2hQ9iGj3aDfklV4ET7NjKpSinLpJ5vafa9iiGIEZg10SfBw==", + "requires": { + "react-is": "^16.7.0" + } + }, "hoopy": { "version": "0.1.4", "resolved": "https://registry.npmjs.org/hoopy/-/hoopy-0.1.4.tgz", @@ -29963,7 +30216,7 @@ }, "insert-css": { "version": "2.0.0", - "resolved": "https://registry.npmmirror.com/insert-css/-/insert-css-2.0.0.tgz", + "resolved": "https://registry.npmjs.org/insert-css/-/insert-css-2.0.0.tgz", "integrity": "sha512-xGq5ISgcUP5cvGkS2MMFLtPDBtrtQPSFfC6gA6U8wHKqfjTIMZLZNxOItQnoSjdOzlXOLU/yD32RKC4SvjNbtA==" }, "internal-slot": { @@ -32217,6 +32470,11 @@ "fs-monkey": "^1.0.3" } }, + "memoize-one": { + "version": "5.2.1", + "resolved": "https://registry.npmjs.org/memoize-one/-/memoize-one-5.2.1.tgz", + "integrity": "sha512-zYiwtZUcYyXKo/np96AGZAckk+FWWsUdJ3cHGGmld7+AhvcWmQyGCYUh1hc4Q/pkOhb65dQR/pqCyK0cOaHz4Q==" + }, "merge-descriptors": { "version": "1.0.1", "resolved": "https://registry.npmjs.org/merge-descriptors/-/merge-descriptors-1.0.1.tgz", @@ -33847,6 +34105,11 @@ "performance-now": "^2.1.0" } }, + "raf-schd": { + "version": "4.0.3", + "resolved": "https://registry.npmjs.org/raf-schd/-/raf-schd-4.0.3.tgz", + "integrity": "sha512-tQkJl2GRWh83ui2DiPTJz9wEiMN20syf+5oKfB03yYP7ioZcJwsIK8FjrtLwH1m7C7e+Tt2yYBlrOpdT+dyeIQ==" + }, "randombytes": { "version": "2.1.0", "resolved": "https://registry.npmjs.org/randombytes/-/randombytes-2.1.0.tgz", @@ -34308,6 +34571,20 @@ "whatwg-fetch": "^3.6.2" } }, + "react-beautiful-dnd": { + "version": "13.1.1", + "resolved": "https://registry.npmjs.org/react-beautiful-dnd/-/react-beautiful-dnd-13.1.1.tgz", + "integrity": "sha512-0Lvs4tq2VcrEjEgDXHjT98r+63drkKEgqyxdA7qD3mvKwga6a5SscbdLPO2IExotU1jW8L0Ksdl0Cj2AF67nPQ==", + "requires": { + "@babel/runtime": "^7.9.2", + "css-box-model": "^1.2.0", + "memoize-one": "^5.1.1", + "raf-schd": "^4.0.2", + "react-redux": "^7.2.0", + "redux": "^4.0.4", + "use-memo-one": "^1.1.1" + } + }, "react-color": { "version": "2.17.3", "resolved": "https://registry.npmmirror.com/react-color/-/react-color-2.17.3.tgz", @@ -34413,6 +34690,18 @@ } } }, + "react-dnd": { + "version": "16.0.1", + "resolved": "https://registry.npmjs.org/react-dnd/-/react-dnd-16.0.1.tgz", + "integrity": "sha512-QeoM/i73HHu2XF9aKksIUuamHPDvRglEwdHL4jsp784BgUuWcg6mzfxT0QDdQz8Wj0qyRKx2eMg8iZtWvU4E2Q==", + "requires": { + "@react-dnd/invariant": "^4.0.1", + "@react-dnd/shallowequal": "^4.0.1", + "dnd-core": "^16.0.1", + "fast-deep-equal": "^3.1.3", + "hoist-non-react-statics": "^3.3.2" + } + }, "react-dom": { "version": "18.2.0", "resolved": "https://registry.npmmirror.com/react-dom/-/react-dom-18.2.0.tgz", @@ -34422,6 +34711,15 @@ "scheduler": "^0.23.0" } }, + "react-draggable": { + "version": "4.4.6", + "resolved": "https://registry.npmjs.org/react-draggable/-/react-draggable-4.4.6.tgz", + "integrity": "sha512-LtY5Xw1zTPqHkVmtM3X8MUOxNDOUhv/khTgBgrUvwaS064bwVvxT+q5El0uUFNx5IEPKXuRejr7UqLwBIg5pdw==", + "requires": { + "clsx": "^1.1.1", + "prop-types": "^15.8.1" + } + }, "react-error-overlay": { "version": "6.0.11", "resolved": "https://registry.npmjs.org/react-error-overlay/-/react-error-overlay-6.0.11.tgz", @@ -34437,6 +34735,26 @@ "resolved": "https://registry.npmmirror.com/react-lifecycles-compat/-/react-lifecycles-compat-3.0.4.tgz", "integrity": "sha512-fBASbA6LnOU9dOU2eW7aQ8xmYBSXUIWr+UmF9b1efZBazGNO+rcXT/icdKnYm2pTwcRylVUYwW7H1PHfLekVzA==" }, + "react-redux": { + "version": "7.2.9", + "resolved": "https://registry.npmjs.org/react-redux/-/react-redux-7.2.9.tgz", + "integrity": "sha512-Gx4L3uM182jEEayZfRbI/G11ZpYdNAnBs70lFVMNdHJI76XYtR+7m0MN+eAs7UHBPhWXcnFPaS+9owSCJQHNpQ==", + "requires": { + "@babel/runtime": "^7.15.4", + "@types/react-redux": "^7.1.20", + "hoist-non-react-statics": "^3.3.2", + "loose-envify": "^1.4.0", + "prop-types": "^15.7.2", + "react-is": "^17.0.2" + }, + "dependencies": { + "react-is": { + "version": "17.0.2", + "resolved": "https://registry.npmjs.org/react-is/-/react-is-17.0.2.tgz", + "integrity": "sha512-w2GsyukL62IJnlaff/nRegPQR94C/XXamvMWmSHRJ4y7Ts/4ocGRmTHvOs8PSE6pB3dWOrD/nueuU5sduBsQ4w==" + } + } + }, "react-refresh": { "version": "0.11.0", "resolved": "https://registry.npmjs.org/react-refresh/-/react-refresh-0.11.0.tgz", @@ -34623,6 +34941,14 @@ "minimatch": "^3.0.5" } }, + "redux": { + "version": "4.2.1", + "resolved": "https://registry.npmjs.org/redux/-/redux-4.2.1.tgz", + "integrity": "sha512-LAUYz4lc+Do8/g7aeRa8JkyDErK6ekstQaqWQrNRW//MY1TvCEpMtpTWvlQ+FPbWCx+Xixu/6SHt5N0HR+SB4w==", + "requires": { + "@babel/runtime": "^7.9.2" + } + }, "reflect-metadata": { "version": "0.1.13", "resolved": "https://registry.npmmirror.com/reflect-metadata/-/reflect-metadata-0.1.13.tgz", @@ -35860,6 +36186,11 @@ "resolved": "https://registry.npmjs.org/thunky/-/thunky-1.1.0.tgz", "integrity": "sha512-eHY7nBftgThBqOyHGVN+l8gF0BucP09fMo0oO/Lb0w1OF80dJv+lDVpXG60WMQvkcxAkNybKsrEIE3ZtKGmPrA==" }, + "tiny-invariant": { + "version": "1.3.1", + "resolved": "https://registry.npmjs.org/tiny-invariant/-/tiny-invariant-1.3.1.tgz", + "integrity": "sha512-AD5ih2NlSssTCwsMznbvwMZpJ1cbhkGd2uueNxzv2jDlEeZdU04JQfRnggJQ8DrcVBGjAsCKwFBbDlVNtEMlzw==" + }, "tinycolor2": { "version": "1.4.2", "resolved": "https://registry.npmmirror.com/tinycolor2/-/tinycolor2-1.4.2.tgz", @@ -36208,6 +36539,12 @@ "requires-port": "^1.0.0" } }, + "use-memo-one": { + "version": "1.1.3", + "resolved": "https://registry.npmjs.org/use-memo-one/-/use-memo-one-1.1.3.tgz", + "integrity": "sha512-g66/K7ZQGYrI6dy8GLpVcMsBp4s17xNkYJVSMvTEevGy3nDxHOfE6z8BVE22+5G5x7t3+bhzrlTDB7ObrEE0cQ==", + "requires": {} + }, "use-sync-external-store": { "version": "1.2.0", "resolved": "https://registry.npmjs.org/use-sync-external-store/-/use-sync-external-store-1.2.0.tgz", diff --git a/package.json b/package.json index 332a4f8..5e8f739 100644 --- a/package.json +++ b/package.json @@ -7,10 +7,14 @@ "@ant-design/pro-components": "^2.6.16", "antd": "^4.22.6", "dingtalk-jsapi": "^3.0.9", + "insert-css": "^2.0.0", "mobx": "^6.6.1", "mobx-react": "^7.5.2", "react": "^18.2.0", + "react-beautiful-dnd": "^13.1.1", + "react-dnd": "^16.0.1", "react-dom": "^18.2.0", + "react-draggable": "^4.4.6", "react-router-dom": "^6.3.0", "react-scripts": "^5.0.1", "web-vitals": "^2.1.4", diff --git a/src/App.css b/src/App.css index 1acdfbf..02207ca 100644 --- a/src/App.css +++ b/src/App.css @@ -32,7 +32,7 @@ padding: 0; } .p-s1{ - padding: .5em; + padding: .5rem!important; } .sticky-top{ diff --git a/src/App.jsx b/src/App.jsx index cf57d31..f76d996 100644 --- a/src/App.jsx +++ b/src/App.jsx @@ -42,6 +42,7 @@ import ExchangeRate from './charts/ExchangeRate'; import KPI from './views/KPI'; import Distribution from './views/Distribution'; import Detail from './views/Detail'; +import DataPivot from './views/DataPivot'; import Welcome from './views/Welcome'; import { stores_Context, APP_VERSION } from './config'; import { WaterMark } from '@ant-design/pro-components'; @@ -52,7 +53,7 @@ const App = () => { const menu_items = [ { key: 1, label: 欢迎, icon: }, - { key: 'annual', label: 综合看板, icon: }, + { key: 'annual', label: 综合看板, icon: }, { key: 2, label: '市场', @@ -61,12 +62,17 @@ const App = () => { { key: 21, label: 订单数据, - icon: , + // icon: , }, { key: 22, label: 仪表盘, - icon: , + // icon: , + }, + { + key: 'orders-pivot', + label: 数据透视, + // icon: , }, ], }, @@ -190,6 +196,7 @@ const App = () => { } /> } /> } /> + } /> }> } /> diff --git a/src/components/DateGroupRadio/date.js b/src/components/DateGroupRadio/date.js index 8b249a1..b413cd2 100644 --- a/src/components/DateGroupRadio/date.js +++ b/src/components/DateGroupRadio/date.js @@ -153,6 +153,6 @@ export const resultDataCb = (dataRaw, dateGroup, { data1, data2 }, fieldMapper, })); const retData = [].concat(parseData1, reindexData2 ).map(ele => ({...ele, [fieldMapper.dateKey]: data1KeyMappedStr[ele[fieldMapper.dateKey]] || data2KeyMappedStr[ele[fieldMapper.dateKey]]})); const avg1 = parse1.avgVal; - // console.log('callback', dateGroup, retData, data1KeyMappedStr, data2KeyMappedStr); + // console.log('callback', dateGroup, retData, avg1, parse2.avgVal, data1KeyMappedStr, data2KeyMappedStr); cb(dateGroup, retData, avg1, parse2.avgVal); }; diff --git a/src/components/search/SearchForm.jsx b/src/components/search/SearchForm.jsx index ccd4d02..d86390e 100644 --- a/src/components/search/SearchForm.jsx +++ b/src/components/search/SearchForm.jsx @@ -312,14 +312,16 @@ function getFields(props) { rules={[{ required: true, message: '选择小组' }]} > - , fieldProps?.DepartmentList?.col + , + fieldProps?.DepartmentList?.col ), item( 'WebCode', 99, - + , + fieldProps?.WebCode?.col ), item( 'IncludeTickets', diff --git a/src/libs/ht.js b/src/libs/ht.js index 0704ebe..bcf85dc 100644 --- a/src/libs/ht.js +++ b/src/libs/ht.js @@ -1,4 +1,4 @@ -import { fixTo4Decimals, fixTo1Decimals } from "../utils/commons"; +import { fixTo4Decimals, fixTo1Decimals, fixToInt, groupBy, sortBy, cloneDeep, pick, unique, flush } from '../utils/commons'; /** * 事业部 @@ -88,7 +88,7 @@ export const sites = [ { value: '30', key: '30', label: 'TP', code: 'trippest' }, { value: '31', key: '31', label: '花梨鹰', code: 'HLY' }, ]; -export const sitesMappedByCode = sites.reduce((a, c) => ({ ...a, [String(c.code)]: {...c, key: c.code, value: c.code } }), {}); +export const sitesMappedByCode = sites.reduce((a, c) => ({ ...a, [String(c.code)]: { ...c, key: c.code, value: c.code } }), {}); export const dateTypes = [ { key: 'applyDate', value: 'applyDate', label: '提交日期' }, { key: 'ConfirmDate', value: 'ConfirmDate', label: '确认日期' }, @@ -123,11 +123,7 @@ export const dataFieldAlias = dataFieldOptions.reduce( * KPI对象 */ export const KPIObjects = [ - { key: 'overview', value: 'overview', label: '海纳', data: [ - { key: 'ALL', value: 'ALL', label: '海纳' }, - ...overviewGroup - ] - }, + { key: 'overview', value: 'overview', label: '海纳', data: [{ key: 'ALL', value: 'ALL', label: '海纳' }, ...overviewGroup] }, { key: 'bizarea', value: 'bizarea', @@ -173,3 +169,252 @@ export const KPISubjects = [ // { key: 'reply_eff_wa', value: 'reply_eff_wa', label: 'WA回复效率'}, // { key: 'sum_person_num', value: 'sum_person_num', label: '人数' }, ]; + +/** + * 数据透视计算 + * @param {object[]} data + * @param {any[]} groupbyKeys + * @returns + */ +export const pivotBy = (data, [rows, columns, date]) => { + // console.time('pivot----'); + console.log('pivotBy', [rows, columns, date]); + const groupbyKeys = flush([].concat(rows, columns, [date])); + const getKeys = (keys) => keys.map((keyField) => [...new Set(data.map((f) => f[keyField]))]); + const [rowsKeys, columnsKeys, dateKeys] = [getKeys(rows), getKeys(columns), getKeys([date])]; + + const calcTradeFields = (dataObj, keepKeys = [], seriesKey = '') => { + const outerKeys = []; + const _keepKeys = [...keepKeys, seriesKey]; + const DataGroupByKeys = {}; + + Object.keys(dataObj).forEach((colKey) => { + const _len = dataObj[colKey].length; + const _rowKey = dataObj[colKey].map((v) => v.key).join('_'); + outerKeys.push(_rowKey); + + const initialData = { + ...pick(dataObj[colKey][0], _keepKeys), + ...(keepKeys.length === 0 + ? { rowLabel: '总' } + : { + rowLabel: cloneDeep(keepKeys) + // .slice(0, -1) + .map((_k) => dataObj[colKey][0][_k]) + .join('»'), + }), + _label: colKey || '(空)', + key: _rowKey, + + SumOrder: _len, + + SumPersonNum: 0, + ConfirmOrder: 0, + transactions: 0, + SumML: 0, + quotePrice: 0, + tourdays: 0, + applyDays: 0, + confirmDays: 0, + }; + + const calculatedData = dataObj[colKey].reduce((r, v) => { + r.SumPersonNum += v.personNum; + r.ConfirmOrder += Number(v.orderState) === 1 ? 1 : 0; + r.transactions += v.transactions; + r.SumML += v.ML; + r.quotePrice += v.quotePrice; + r.tourdays += v.tourdays; + r.applyDays += v.applyDays; + r.confirmDays += v.confirmDays; + return r; + }, initialData); + + // Calculations + calculatedData.tourdays = Math.ceil(calculatedData.tourdays / _len); + calculatedData.applyDays = Math.ceil(calculatedData.applyDays / _len); + calculatedData.confirmDays = Math.ceil(calculatedData.confirmDays / _len); + const _rowCalc = { + ConfirmRates: calculatedData.ConfirmOrder ? fixTo4Decimals(calculatedData.ConfirmOrder / calculatedData.SumOrder) : 0, + OrderValue: calculatedData.SumOrder ? fixToInt(calculatedData.SumML / calculatedData.SumOrder) : 0, + }; + DataGroupByKeys[colKey] = { ...calculatedData, ..._rowCalc }; + }); + + return { groupByKeys: DataGroupByKeys, key: outerKeys.join('_') }; + }; + + const groupData = groupBy(data, (row) => groupbyKeys.map((kk) => `${row[kk]}`).join('=@=')); + const rowsNcolumnsItems = calcTradeFields(groupData, [...rows, ...columns], date); + const pivotResult = Object.values(rowsNcolumnsItems.groupByKeys); + + const transposeData = (keys, dataProp, [dataKey, colKeys]=[]) => + Object.keys(dataProp) + .map((rowKey) => { + const _colKey = dataKey || 'dataKey'; + const _colData = groupBy(dataProp[rowKey], (crow) => (colKeys || keys).map((kk) => `${crow[kk]}`).join('=@=')); + const _columnsObj = calcTradeFields(_colData); + return { ...pick(dataProp[rowKey][0], keys), [_colKey]: _columnsObj.groupByKeys, key: _columnsObj.key }; + }) + .map((everyR) => { + const _colKey = dataKey || 'dataKey'; + const allColumns = Object.values(everyR[_colKey]).reduce((r, c) => r.concat([c]), []); + const summaryCalc = ['ConfirmOrder', 'SumOrder', 'SumML', 'transactions', 'SumPersonNum', 'quotePrice', 'tourdays', 'applyDays', 'confirmDays'].reduce( + (r, skey) => ({ ...r, [skey]: allColumns.reduce((a, c) => a + c[skey], 0) }), + everyR + ); + summaryCalc.tourdays = Math.ceil(summaryCalc.tourdays / allColumns.length); + summaryCalc.applyDays = Math.ceil(summaryCalc.applyDays / allColumns.length); + summaryCalc.confirmDays = Math.ceil(summaryCalc.confirmDays / allColumns.length); + summaryCalc.ConfirmRates = summaryCalc.ConfirmOrder ? fixTo4Decimals(summaryCalc.ConfirmOrder / summaryCalc.SumOrder) : 0; + summaryCalc.OrderValue = summaryCalc.SumOrder ? fixToInt(summaryCalc.SumML / summaryCalc.SumOrder) : 0; + + return { ...everyR, ...summaryCalc }; + }); + + const rowsData = groupBy(data, (row) => rows.map((kk) => `${row[kk]}`).join('=@=')); + const summaryRows = transposeData(rows, rowsData, ['columns', columns]); + + const columnsData = groupBy(data, (row) => columns.map((kk) => `${row[kk]}`).join('=@=')); + const summaryColumns = transposeData(columns, columnsData, ['rows', rows]); + + // console.timeEnd('pivot----'); + return { data: pivotResult, columnValues: [rowsKeys, columnsKeys, dateKeys], summaryRows, summaryColumns }; +}; + +// todo: 优化 pivotBy 速度 +export const pivotBy3 = (data, [rows, columns, date]) => { + console.log('pivotBy', [rows, columns, date]); + console.time('pivot2'); + // const rowKeys = new Set(data.map(row => row[rows[0]])); + const rowKeys = rows.map((keyField) => { + const keyu = new Set(data.map((f) => f[keyField])); + return keyu; + }); + const colKeys = new Set(data.map(row => row[columns[0]])); + const dateKeys = new Set(data.map(row => row[date])); + + const aggregatedData = {}; + + data.forEach(row => { + const rowKey = row[rows[0]] ?? '__total'; + const colKey = row[columns[0]] ?? '__total'; + const dateKey = row[date]; + + if (!aggregatedData[rowKey]) { + aggregatedData[rowKey] = {}; + } + + // if (!aggregatedData[rowKey][colKey]) { + // aggregatedData[rowKey][colKey] = {}; + // } + + if (!aggregatedData[rowKey][colKey]) { + aggregatedData[rowKey][colKey] = { + SumOrder: 0, + // other aggregated fields + SumPersonNum: 0, + ConfirmOrder: 0, + transactions: 0, + SumML: 0, + // ... + quotePrice: 0, + tourdays: 0, + applyDays: 0, + confirmDays: 0, + }; + + } + + aggregatedData[rowKey][colKey].SumOrder++; + aggregatedData[rowKey][colKey].SumPersonNum += row.personNum; + aggregatedData[rowKey][colKey].ConfirmOrder += Number(row.orderState === 1); + aggregatedData[rowKey][colKey].transactions += row.transactions; + aggregatedData[rowKey][colKey].SumML += row.ML; + // aggregate other fields + + }); + + const summarizedData = []; + + // Generate summary rows + for (const rowKey of rowKeys) { + + const rowAggregations = { + SumOrder: 0, + // other aggregated fields + SumPersonNum: 0, + ConfirmOrder: 0, + transactions: 0, + SumML: 0, + // ... + quotePrice: 0, + tourdays: 0, + applyDays: 0, + confirmDays: 0, + }; + + // Calculate aggregates over colKey + for (const colKey in aggregatedData[rowKey]) { + rowAggregations.SumOrder += aggregatedData[rowKey][colKey].SumOrder; + rowAggregations.SumPersonNum += aggregatedData[rowKey][colKey].SumPersonNum; + rowAggregations.ConfirmOrder += aggregatedData[rowKey][colKey].ConfirmOrder; + rowAggregations.transactions += aggregatedData[rowKey][colKey].transactions; + rowAggregations.SumML += aggregatedData[rowKey][colKey].SumML; + // ...aggregate all other fields + } + + const row = { + [rows[0]]: rowKey, + ...rowAggregations + }; + + summarizedData.push(row); + } + + // Generate summary columns + for (const colKey of colKeys) { + const colAggregations = { + SumOrder: 0, + // other aggregated fields + SumPersonNum: 0, + ConfirmOrder: 0, + transactions: 0, + SumML: 0, + // ... + quotePrice: 0, + tourdays: 0, + applyDays: 0, + confirmDays: 0, + }; + + // Calculate aggregates over rowKey + for (const rowKey in aggregatedData) { + if (aggregatedData[rowKey][colKey]) { + colAggregations.SumOrder += aggregatedData[rowKey][colKey].SumOrder; + colAggregations.SumPersonNum += aggregatedData[rowKey][colKey].SumPersonNum; + colAggregations.ConfirmOrder += aggregatedData[rowKey][colKey].ConfirmOrder; + colAggregations.transactions += aggregatedData[rowKey][colKey].transactions; + colAggregations.SumML += aggregatedData[rowKey][colKey].SumML; + // ...aggregate all other fields + } + } + + const col = { + [columns[0]]: colKey, + ...colAggregations + }; + + summarizedData.push(col); + } + + console.timeEnd('pivot2'); + console.log('pivot2 ddd', aggregatedData); + return { + data: [], // aggregatedData, + columnValues: [rowKeys, colKeys, dateKeys], + summaryRows: summarizedData.filter(r => r[rows[0]]), + summaryColumns: summarizedData.filter(c => c[columns[0]]) + }; + +}; diff --git a/src/stores/DataPivot.js b/src/stores/DataPivot.js new file mode 100644 index 0000000..ece3763 --- /dev/null +++ b/src/stores/DataPivot.js @@ -0,0 +1,49 @@ +import { makeAutoObservable, runInAction, toJS } from 'mobx'; +import { fetchJSON } from '../utils/request'; +import { isEmpty, sortBy, pick, merge, fixTo2Decimals, groupBy, sortKeys, fixToInt, cloneDeep } from '../utils/commons'; +import { dataFieldAlias } from './../libs/ht'; + +class Trade { + constructor(rootStore) { + this.rootStore = rootStore; + makeAutoObservable(this); + } + + /** + * 明细 + */ + getDetailData = async (param, page) => { + this.detailData[page] = { loading: true, dataSource: [], originData: [] }; + const json = await fetchJSON('/service-Analyse2/GetTradeApartDetail', param); + if (json.errcode === 0) { + runInAction(() => { + this.detailData[page].loading = false; + this.detailData[page].dataSource = json.result; + this.detailData[page].originData = json.result; + }); + } + return json.result; + }; + + setSearchValues(body) { + this.searchValues = body; + } + + timeLineKey = 'week'; + setTimeLineKey(v) { + this.timeLineKey = v; + } + + resetData = () => { + this.detailData = { + orders: { loading: false, dataSource: [], originData: [] }, + }; + }; + + searchValues = {}; + detailData = { + orders: { loading: false, dataSource: [], originData: [] }, + }; +} + +export default Trade; diff --git a/src/stores/Distribution.js b/src/stores/Distribution.js index 0e92697..f21a92b 100644 --- a/src/stores/Distribution.js +++ b/src/stores/Distribution.js @@ -69,7 +69,7 @@ class Distribution { this.scatterDays = daysData; }); } - return this.detailData; + return json.result; }; resetData = () => { diff --git a/src/stores/Index.js b/src/stores/Index.js index 48dfba1..947763c 100644 --- a/src/stores/Index.js +++ b/src/stores/Index.js @@ -14,6 +14,7 @@ import TradeStore from "./Trade"; import KPI from "./KPI"; import DictData from "./DictData"; import Distribution from "./Distribution"; +import DataPivot from './DataPivot'; class Index { constructor() { this.dashboard_store = new DashboardStore(this); @@ -31,6 +32,7 @@ class Index { this.KPIStore = new KPI(this); this.DictDataStore = new DictData(this); this.DistributionStore = new Distribution(this); + this.DataPivotStore = new DataPivot(this); makeAutoObservable(this); } diff --git a/src/utils/commons.js b/src/utils/commons.js index c65f069..be8b8b8 100644 --- a/src/utils/commons.js +++ b/src/utils/commons.js @@ -353,6 +353,20 @@ export function pick(object, keys) { }, {}); } +/** + * 返回对象的副本，经过筛选以省略指定的键。 + * @param {*} object + * @param {string[]} keysToOmit + * @returns + */ +export function omit(object, keysToOmit) { + return Object.fromEntries( + Object.entries(object).filter( + ([key]) => !keysToOmit.includes(key) + ) + ); +} + /** * 深拷贝 */ diff --git a/src/views/DataPivot.jsx b/src/views/DataPivot.jsx new file mode 100644 index 0000000..cba838c --- /dev/null +++ b/src/views/DataPivot.jsx @@ -0,0 +1,502 @@ +import { useContext, useEffect, useState } from 'react'; +import { observer } from 'mobx-react'; +import { useParams } from 'react-router-dom'; +import { stores_Context } from '../config'; +import { Row, Col, Spin, Table, Select, Typography, Card, Button } from 'antd'; +import { cloneDeep, groupBy, isEmpty, omit, pick, sortBy, unique } from '../utils/commons'; +import { dataFieldAlias, pivotBy } from '../libs/ht'; +import SearchForm from '../components/search/SearchForm'; +import { Line } from '@ant-design/plots'; +import DateGroupRadio from '../components/DateGroupRadio'; + +const { Text } = Typography; + +const filterFields = [ + { key: 'country', label: '国籍' }, + { key: 'SourceType', label: '来源类型' }, + { key: 'productType', label: '产品类型' }, + { key: 'guestGroupType', label: '客群类别' }, + { key: 'travelMotivation', label: '出行动机' }, + { key: 'operatorName', label: '顾问' }, + { key: 'WebCode', label: '来源站点' }, + // todo: 目的地, 目的地国家, 页面类型[PPC, NL...] +]; +const filterFieldsMapped = filterFields.reduce((r, v) => ({ ...r, [v.key]: v }), {}); +const quickOptions = [ + { label: '国籍×产品', fields: [['country'], ['productType']] }, + { label: '产品×客群', fields: [['productType'], ['guestGroupType']] }, +]; + +/** + * 计算笛卡尔积 + */ +const cartesianProductArray = (arr, sep = '_', index = 0, prefix = '') => { + let result = []; + if(index === arr.length){ + return [prefix]; + } + arr[index].forEach(item => { + result = result.concat(cartesianProductArray(arr, sep, index+1, prefix ? `${prefix}${sep}${item}` : `${item}`)); + }); + return result; +}; + +// 注意TdCell要提到DataTable作用域外声明 +const TdCell = (tdprops) => { + // onMouseEnter, onMouseLeave在数据量多的时候，会严重阻塞表格单元格渲染，严重影响性能 + const { onMouseEnter, onMouseLeave, ...restProps } = tdprops; + return ; +}; + +export default observer((props) => { + const { page } = useParams(); + const { date_picker_store: searchFormStore, orders_store, DistributionStore, DataPivotStore } = useContext(stores_Context); + const { formValues, formValuesToSub } = searchFormStore; + const { originData } = DataPivotStore.detailData[page]; + + const [loading, setLoading] = useState(false); + const [rawData, setRawData] = useState(originData || []); + const [dataBeforePick, setDataBeforePick] = useState([]); + const [dataBeforeXChange, setDataBeforeXChange] = useState([]); + const [dataSource, setDataSource] = useState([]); + // const [dataSourceMapped, setDataSourceMapped] = useState({}); + + const [pivotTableDataSource, setPivotTableDataSource] = useState([]); + const [pivotTableColumnSummary, setPivotTableColumnSummary] = useState({}); // 列单选, 只有一组结果 + + const [pivotDateColumns, setPivotDateColumns] = useState([[], []]); + const [pivotDateColumnsValues, setPivotDateColumnsValues] = useState([[], []]); + + useEffect(() => { + calcDataByDate(); + resetX(); + resetItemFilter(); + + return () => {}; + }, [pivotDateColumns]); + + useEffect(() => { + if (lineChartX === 'day') { + setDataBeforeXChange(dataSource); + } + + return () => {}; + }, [dataSource]); + + const detailRefresh = async (obj) => { + setLoading(true); + DataPivotStore.getDetailData({ + ...(obj || formValuesToSub), + }, page).then((resData) => { + setLoading(false); + setRawData(resData); + calcDataByDate(resData); + resetX(); + resetItemFilter(); + }); + }; + + const valKey = 'SumOrder'; + const timesKey = 'applyDate'; + /** + * 走势的数据 + * 汇总 + */ + const calcDataByDate = (_rawData) => { + // console.log(';;;;;', pivotDateColumns); + const { data, columnValues, summaryRows, summaryColumns } = pivotBy(_rawData || rawData, [].concat(pivotDateColumns, [timesKey])); + // console.log('data====', data, '\ncolumnValues', columnValues, '\nsummaryRows', summaryRows, '\nsummaryColumns', summaryColumns); + setDataBeforePick(data.sort(sortBy(timesKey))); + // 折线图数据 + setDataSource(data.sort(sortBy(timesKey))); + // 表格数据 + const sortRowData = cloneDeep(summaryRows).sort(sortBy(valKey)).reverse(); + setPivotTableDataSource(sortRowData); + // 列汇总 + const sortColData = summaryColumns.sort(sortBy(valKey)).reverse(); + const colDataMapped = isEmpty(pivotDateColumns[1]) ? sortColData[0] : sortColData.reduce((r, v) => ({...r, [v[pivotDateColumns[1][0]]]: v}), {}); + setPivotTableColumnSummary(colDataMapped); + // 行列的选项值 + const _r = (pivotDateColumns[0].map(eleR => unique(sortRowData.map(ele => ele[eleR])))); + const _c = (pivotDateColumns[1].map(eleC => unique(sortColData.map(ele => ele[eleC])))); + // console.log('_r', _r, '_c', _c); + setPivotDateColumnsValues([_r, _c, columnValues[2]]); + }; + + const line_config = { + // data: dataSource, + padding: 'auto', + xField: timesKey, + yField: valKey, + seriesField: 'rowLabel', + // xAxis: { + // type: 'timeCat', + // }, + yAxis: { + min: 0, + maxTickInterval: 5, + }, + // smooth: true, + label: {}, // 显示标签 + legend: { + position: 'right-top', + // title: { + // text: '总合计 ' + dataSource.reduce((a, b) => a + b.SumOrder, 0), + // }, + itemMarginBottom: 12, // 垂直间距 + }, + }; + + const [lineConfig, setLineConfig] = useState(cloneDeep(line_config)); + + // 透视配置：行列选项 + // const [leftFields, setLeftFields] = useState(filterFields); + const [rightFields, setRightFields] = useState(filterFields); + const [rowFields, setRowFields] = useState([]); + const [columnFields, setColumnFields] = useState([]); + + const [rowSelection, setRowSelection] = useState(); + const [columnSelection, setColumnSelection] = useState(); + const quickOpt = (i) => { + const { fields: pivotFields } = quickOptions[i]; + const [row, col] = pivotFields; + setRowSelection(Object.values(pick(filterFieldsMapped, row))); + setColumnSelection(filterFieldsMapped[col[0]]); + setPivotDateColumns(pivotFields); + }; + + const handleRowsPick = (v) => { + const pickKeys = v.map((ele) => ele.key); + setRowFields(pickKeys); + // const leftFieldsMapped = leftFields.reduce((r, v) => ({ ...r, [v.key]: v }), {}); + const _left = omit(filterFieldsMapped, pickKeys); + setRightFields(isEmpty(v) ? filterFields : Object.values(_left)); + // setPivotDateColumns([].concat(pickKeys, columnFields)); + setPivotDateColumns([pickKeys, columnFields]); + resetItemFilter(); + }; + + const handleColsPick = (val) => { + const pickKeys = isEmpty(val) ? [] : Array.isArray(val) ? val.map((ele) => ele.key) : [val.key]; + setColumnFields(pickKeys); + const afterLeft = Object.values(omit(filterFieldsMapped, rowFields)); + setRightFields(afterLeft); // 单选 + // const rightFieldsMapped = rightFields.reduce((r, v) => ({ ...r, [v.key]: v }), {}); + // const _left = omit(rightFieldsMapped, pickKeys); + // setRightFields(isEmpty(val) ? afterLeft : Object.values(_left)); // 多选 + // setPivotDateColumns([].concat(rowFields, pickKeys)); + setPivotDateColumns([rowFields, pickKeys]); + resetItemFilter(); + }; + + // 行列的值选项 + const [rowsItemValues, setRowsItemValues] = useState(); + const [columnsItemValues, setColumnsItemValues] = useState(); + const [rowsFilter, setRowsFilter] = useState(); + const [columnsFilter, setColumnsFilter] = useState(); + const resetItemFilter = () => { + setRowsItemValues(null); + setColumnsItemValues(null); + setRowsFilter(null); + setColumnsFilter(null); + }; + const handleFieldsItemPick = (v, columnsIndex, columnsName, actionSeries) => { + const _curFilter = { [columnsName]: actionSeries === 'row' ? v : [v] }; + // console.log('handleFieldsItemPick', v, columnsIndex, columnsName, actionSeries, _curFilter); + const _rowsF = actionSeries === 'row' ? { ...rowsFilter, ..._curFilter } : rowsFilter; + const _columnsF = actionSeries === 'col' ? { ...columnsFilter, ..._curFilter } : columnsFilter; + actionSeries === 'row' ? setRowsFilter(_rowsF) : setColumnsFilter(_columnsF); + const currentFilterMerge = { + rows: _rowsF || {}, + columns: _columnsF || {}, + }; + setRowsItemValues(currentFilterMerge.rows); + setColumnsItemValues(currentFilterMerge.columns); + + const rowsFilterFields = Object.keys(currentFilterMerge.rows).filter((ele) => currentFilterMerge.rows[ele].length); + const dataMappedByRows = groupBy(dataBeforePick, (row) => rowsFilterFields.map((kk) => `${row[kk]}`).join('=@=')); + const rowsFilterKey = isEmpty(rowsFilterFields) + ? [] + : cartesianProductArray( + Object.values(currentFilterMerge.rows) + .map((kv) => kv.map((kf) => kf.key)) + .filter((s) => s.length), + '=@=' + ); + const afterRowsFilter = isEmpty(rowsFilterFields) ? dataBeforePick : rowsFilterKey.reduce((r, _key) => r.concat(dataMappedByRows[_key]), []); + + const columnsFilterFields = Object.keys(currentFilterMerge.columns).filter((ele) => currentFilterMerge.rows[ele].length); + const allFilterValues = [].concat( + rowsFilterFields.reduce((r, v) => r.concat(currentFilterMerge.rows[v]), []), + columnsFilterFields.reduce((r, v) => r.concat(currentFilterMerge.columns[v]), []) + ); + + const dataMapped = groupBy(afterRowsFilter, (row) => row[columnsName]); + const pickData = isEmpty(v) ? afterRowsFilter : Array.isArray(v) ? v.reduce((r, v) => r.concat(dataMapped[v.value]), []) : dataMapped[v.value]; + + setDataSource(allFilterValues.length === 0 ? dataBeforePick : pickData.sort(sortBy(timesKey))); + resetX(); + }; + + // 日月年切换 + const [lineChartX, setLineChartX] = useState('day'); + const [avgLine1, setAvgLine1] = useState(0); + const orderCountDataMapper = { data1: 'data1', data2: undefined }; + const orderCountDataFieldMapper = { 'dateKey': timesKey, 'valueKey': valKey, 'seriesKey': 'rowLabel', _f: 'sum' }; + const resetX = () => { + setLineChartX('day'); + setAvgLine1(0); + }; + + const onChangeXDateFieldGroup = (value, data, avg1) => { + const { xField, yField, seriesField } = lineConfig; + const groupByDate = data.reduce((r, v) => { + (r[v[xField]] || (r[v[xField]] = [])).push(v); + return r; + }, {}); + const _data = Object.keys(groupByDate).reduce((r, _d) => { + const xAxisGroup = groupByDate[_d].reduce((a, v) => { + (a[v[seriesField]] || (a[v[seriesField]] = [])).push(v); + return a; + }, {}); + Object.keys(xAxisGroup).map((_group) => { + const summaryVal = xAxisGroup[_group].reduce((rows, row) => rows + row[yField], 0); + r.push({ ...xAxisGroup[_group][0], [yField]: summaryVal }); + return _group; + }); + return r; + }, []); + // .map((row) => ({ [xField]: row[xField], [yField]: row[yField], [seriesField]: row[seriesField], rowX: row.dateRange[0] })); + + setLineChartX(value); + setDataSource(_data); + setAvgLine1(avg1); + }; + + const targetTableProps = { + loading: false, + // sticky: true, + scroll: { x: 1000, y: 400 }, + pagination: false, + columns: [ + ...pivotDateColumns[0].map((ele) => ({ key: ele, title: filterFieldsMapped[ele].label, dataIndex: ele, width: '6em', fixed: 'left' })), + { key: 'SumOrder', title: '订单数', dataIndex: 'SumOrder', width: '5em' }, + ...pivotDateColumns[1].map((ele) => ({ + key: ele, + title: filterFieldsMapped[ele].label, + align: 'left', className: 'p-s1', + children: cloneDeep(pivotDateColumnsValues[1][0] || []).map((col) => ({ + key: col, + title: `${col || '(空)'}: ${pivotTableColumnSummary[col]?.[valKey]}`, + dataIndex: ['columns', col, valKey], + width: '6em', + })), + })), + ], + }; + + return ( + <> + + + { + detailRefresh(obj); + }} + /> + + + + {/* extra={} */} + ( + // + // ))} + > + + + {/* todo: 拖拽的操作 */} + {/*
+ {filterFields.map((tag) => ( + -1} onChange={(checked) => handleChange(tag.key, checked)} color={'orange'}> + {tag.label} + + ))} +
*/} + + + + + 行: + + + + + + {rowFields.length > 0 + ? cloneDeep(pivotDateColumnsValues)[0] + // .slice(0, rowFields.length) + .map((_colArr, _colIndex) => ( + + + {filterFieldsMapped[pivotDateColumns[0][_colIndex]]?.label}: + + + + + + )) + : null} + + + + + + + 列: + + + + + + {/* {columnFields.length > 0 + ? cloneDeep(pivotDateColumnsValues) + .slice(rowFields.length) + .map((_colArr, _colIndex) => ( + <> + + + {filterFieldsMapped[pivotDateColumns[_colIndex + rowFields.length]]?.label || _colIndex + rowFields.length}: + + + + + + + )) + : null} */} + + + + + + +
+ + +

+ 走势: {dataFieldAlias[lineConfig.yField].label} +

+ + + + + + + + +
+ +
+ +

+ 透视汇总表: {dataFieldAlias[lineConfig.yField].label} +

+ + + + + ); +});