fix: report in monalisa laporan bulanan

This commit is contained in:
kur0nek-o
2024-04-08 23:45:16 +07:00
parent 09d7969136
commit 32ab43aaf1
4 changed files with 883 additions and 441 deletions

View File

@@ -1,17 +1,4 @@
import { exportDataGrid as exportToExcel } from 'devextreme/excel_exporter'
import {
Document,
AlignmentType,
Packer,
Paragraph,
Table,
TableCell,
TableRow,
VerticalAlign,
TextRun,
WidthType,
PageOrientation
} from 'docx'
import { saveAs } from 'file-saver'
import { jsPDF } from 'jspdf'
import autoTable from 'jspdf-autotable'
@@ -26,54 +13,117 @@ const reportName = '(Monalisa) Aging Complaint'
const fontSize = 5
const detailFontSize = 3
const groupingData = (data: any) => {
const groupedData: any = {}
data.forEach((item: any) => {
const { nama_regional } = item
if (!groupedData[nama_regional]) {
groupedData[nama_regional] = { data: [] }
const getGroupParent = (reportMeta: any) => {
if (reportMeta.ulp.id != 0) {
return {
parent: reportMeta.ulp.name,
summaryName: reportMeta.ulp.name,
summaryKey: 'nama_ulp'
}
groupedData[nama_regional].data.push(item)
})
for (const regional in groupedData) {
const data = groupedData[regional].data
data.forEach((item: any) => {
if (!groupedData[regional].summary) {
groupedData[regional].summary = {
avg_durasi_recovery_gangguan: [],
sla_gangguan: [],
avg_durasi_recovery_keluhan: [],
sla_keluhan: [],
aging_complaint_gangguan: [],
aging_complaint_keluhan: [],
avg_aging_complaint: []
}
}
groupedData[regional].summary.avg_durasi_recovery_gangguan.push(
item.avg_durasi_recovery_gangguan
)
groupedData[regional].summary.sla_gangguan.push(item.sla_gangguan)
groupedData[regional].summary.avg_durasi_recovery_keluhan.push(
item.avg_durasi_recovery_keluhan
)
groupedData[regional].summary.sla_keluhan.push(item.sla_keluhan)
groupedData[regional].summary.aging_complaint_gangguan.push(item.aging_complaint_gangguan)
groupedData[regional].summary.aging_complaint_keluhan.push(item.aging_complaint_keluhan)
groupedData[regional].summary.avg_aging_complaint.push(item.avg_aging_complaint)
})
}
return groupedData
if (reportMeta.up3.id != 0) {
return {
parent: reportMeta.up3.name,
summaryName: reportMeta.up3.name,
summaryKey: 'nama_up3'
}
}
if (reportMeta.uid.id != 0) {
return {
parent: reportMeta.uid.name,
summaryName: reportMeta.uid.name,
summaryKey: 'nama_uid'
}
}
if (reportMeta.regional.id != 0) {
return {
parent: reportMeta.regional.name,
summaryName: reportMeta.regional.name,
summaryKey: 'nama_regional'
}
}
return ''
}
const formatData = (rawData: any) => {
const data = groupingData(rawData)
const groupingData = (data: any, reportMeta: any) => {
const groupedData: any = {}
if (reportMeta.regional.id == 0) {
data.forEach((item: any) => {
const { nama_regional } = item
if (!groupedData[nama_regional]) {
groupedData[nama_regional] = { data: [] }
}
groupedData[nama_regional].data.push(item)
})
for (const regional in groupedData) {
const data = groupedData[regional].data
data.forEach((item: any) => {
if (!groupedData[regional].summary) {
groupedData[regional].summary = {
avg_durasi_recovery_gangguan: [],
sla_gangguan: [],
avg_durasi_recovery_keluhan: [],
sla_keluhan: [],
aging_complaint_gangguan: [],
aging_complaint_keluhan: [],
avg_aging_complaint: []
}
}
groupedData[regional].summary.avg_durasi_recovery_gangguan.push(
item.avg_durasi_recovery_gangguan
)
groupedData[regional].summary.sla_gangguan.push(item.sla_gangguan)
groupedData[regional].summary.avg_durasi_recovery_keluhan.push(
item.avg_durasi_recovery_keluhan
)
groupedData[regional].summary.sla_keluhan.push(item.sla_keluhan)
groupedData[regional].summary.aging_complaint_gangguan.push(item.aging_complaint_gangguan)
groupedData[regional].summary.aging_complaint_keluhan.push(item.aging_complaint_keluhan)
groupedData[regional].summary.avg_aging_complaint.push(item.avg_aging_complaint)
})
}
return groupedData
} else {
const groupParent = getGroupParent(reportMeta)
if (groupParent === '') {
return {
data,
parent: '',
summaryName: ''
}
}
data.forEach((item: any) => {
const group = item[groupParent.summaryKey]
if (!groupedData[group]) {
groupedData[group] = []
}
groupedData[group].push(item)
})
return {
data: groupedData,
parent: groupParent.parent,
summaryName: groupParent.summaryName
}
}
}
const formatData = (rawData: any, reportMeta: any) => {
const formattedData: any = []
const total: any = {
@@ -86,82 +136,143 @@ const formatData = (rawData: any) => {
avg_aging_complaint: []
}
formattedData.push([{ content: 'NASIONAL', colSpan: 8, styles: { fontStyle: 'bold' } }])
if (reportMeta.regional.id == 0) {
const data = groupingData(rawData, reportMeta)
for (const regional in data) {
const summary = data[regional].summary
formattedData.push([{ content: 'NASIONAL', colSpan: 8, styles: { fontStyle: 'bold' } }])
const avg_durasi_recovery_gangguan =
summary.avg_durasi_recovery_gangguan.reduce((a: number, b: number) => a + b, 0) /
summary.avg_durasi_recovery_gangguan.length
const sla_gangguan =
summary.sla_gangguan.reduce((a: number, b: number) => a + b, 0) / summary.sla_gangguan.length
const avg_durasi_recovery_keluhan =
summary.avg_durasi_recovery_keluhan.reduce((a: number, b: number) => a + b, 0) /
summary.avg_durasi_recovery_keluhan.length
const sla_keluhan =
summary.sla_keluhan.reduce((a: number, b: number) => a + b, 0) / summary.sla_keluhan.length
const aging_complaint_gangguan =
summary.aging_complaint_gangguan.reduce((a: number, b: number) => a + b, 0) /
summary.aging_complaint_gangguan.length
const aging_complaint_keluhan =
summary.aging_complaint_keluhan.reduce((a: number, b: number) => a + b, 0) /
summary.aging_complaint_keluhan.length
const avg_aging_complaint =
summary.avg_aging_complaint.reduce((a: number, b: number) => a + b, 0) /
summary.avg_aging_complaint.length
for (const regional in data) {
const summary = data[regional].summary
const avg_durasi_recovery_gangguan =
summary.avg_durasi_recovery_gangguan.reduce((a: number, b: number) => a + b, 0) /
summary.avg_durasi_recovery_gangguan.length
const sla_gangguan =
summary.sla_gangguan.reduce((a: number, b: number) => a + b, 0) /
summary.sla_gangguan.length
const avg_durasi_recovery_keluhan =
summary.avg_durasi_recovery_keluhan.reduce((a: number, b: number) => a + b, 0) /
summary.avg_durasi_recovery_keluhan.length
const sla_keluhan =
summary.sla_keluhan.reduce((a: number, b: number) => a + b, 0) / summary.sla_keluhan.length
const aging_complaint_gangguan =
summary.aging_complaint_gangguan.reduce((a: number, b: number) => a + b, 0) /
summary.aging_complaint_gangguan.length
const aging_complaint_keluhan =
summary.aging_complaint_keluhan.reduce((a: number, b: number) => a + b, 0) /
summary.aging_complaint_keluhan.length
const avg_aging_complaint =
summary.avg_aging_complaint.reduce((a: number, b: number) => a + b, 0) /
summary.avg_aging_complaint.length
formattedData.push([
regional,
formatNumber(avg_durasi_recovery_gangguan),
formatNumber(sla_gangguan),
formatNumber(avg_durasi_recovery_keluhan),
formatNumber(sla_keluhan),
formatPercentage(aging_complaint_gangguan),
formatPercentage(aging_complaint_keluhan),
formatPercentage(avg_aging_complaint)
])
total.avg_durasi_recovery_gangguan.push(avg_durasi_recovery_gangguan)
total.sla_gangguan.push(sla_gangguan)
total.avg_durasi_recovery_keluhan.push(avg_durasi_recovery_keluhan)
total.sla_keluhan.push(sla_keluhan)
total.aging_complaint_gangguan.push(aging_complaint_gangguan)
total.aging_complaint_keluhan.push(aging_complaint_keluhan)
total.avg_aging_complaint.push(avg_aging_complaint)
}
formattedData.push([
regional,
formatNumber(avg_durasi_recovery_gangguan),
formatNumber(sla_gangguan),
formatNumber(avg_durasi_recovery_keluhan),
formatNumber(sla_keluhan),
formatPercentage(aging_complaint_gangguan),
formatPercentage(aging_complaint_keluhan),
formatPercentage(avg_aging_complaint)
{ content: 'RATA-RATA', styles: { fontStyle: 'bold' } },
formatNumber(
total.avg_durasi_recovery_gangguan.reduce((a: number, b: number) => a + b, 0) /
total.avg_durasi_recovery_gangguan.length
),
formatNumber(
total.sla_gangguan.reduce((a: number, b: number) => a + b, 0) / total.sla_gangguan.length
),
formatNumber(
total.avg_durasi_recovery_keluhan.reduce((a: number, b: number) => a + b, 0) /
total.avg_durasi_recovery_keluhan.length
),
formatNumber(
total.sla_keluhan.reduce((a: number, b: number) => a + b, 0) / total.sla_keluhan.length
),
formatPercentage(
total.aging_complaint_gangguan.reduce((a: number, b: number) => a + b, 0) /
total.aging_complaint_gangguan.length
),
formatPercentage(
total.aging_complaint_keluhan.reduce((a: number, b: number) => a + b, 0) /
total.aging_complaint_keluhan.length
),
formatPercentage(
total.avg_aging_complaint.reduce((a: number, b: number) => a + b, 0) /
total.avg_aging_complaint.length
)
])
total.avg_durasi_recovery_gangguan.push(avg_durasi_recovery_gangguan)
total.sla_gangguan.push(sla_gangguan)
total.avg_durasi_recovery_keluhan.push(avg_durasi_recovery_keluhan)
total.sla_keluhan.push(sla_keluhan)
total.aging_complaint_gangguan.push(aging_complaint_gangguan)
total.aging_complaint_keluhan.push(aging_complaint_keluhan)
total.avg_aging_complaint.push(avg_aging_complaint)
return formattedData
} else {
const tempData = groupingData(rawData, reportMeta)
const data = tempData.data[tempData.summaryName] || tempData.data
const formattedData: any = []
let parentName = tempData.parent
let summaryName = tempData.summaryName ? tempData.summaryName : 'Seluruh Unit'
data.forEach((item: any) => {
total.avg_durasi_recovery_gangguan.push(item.avg_durasi_recovery_gangguan)
total.sla_gangguan.push(item.sla_gangguan)
total.avg_durasi_recovery_keluhan.push(item.avg_durasi_recovery_keluhan)
total.sla_keluhan.push(item.sla_keluhan)
total.aging_complaint_gangguan.push(item.aging_complaint_gangguan)
total.aging_complaint_keluhan.push(item.aging_complaint_keluhan)
total.avg_aging_complaint.push(item.avg_aging_complaint)
})
formattedData.push([{ content: parentName, colSpan: 8, styles: { fontStyle: 'bold' } }])
const result = [
formatNumber(
total.avg_durasi_recovery_gangguan.reduce((a: number, b: number) => a + b, 0) /
total.avg_durasi_recovery_gangguan.length
),
formatNumber(
total.sla_gangguan.reduce((a: number, b: number) => a + b, 0) / total.sla_gangguan.length
),
formatNumber(
total.avg_durasi_recovery_keluhan.reduce((a: number, b: number) => a + b, 0) /
total.avg_durasi_recovery_keluhan.length
),
formatNumber(
total.sla_keluhan.reduce((a: number, b: number) => a + b, 0) / total.sla_keluhan.length
),
formatPercentage(
total.aging_complaint_gangguan.reduce((a: number, b: number) => a + b, 0) /
total.aging_complaint_gangguan.length
),
formatPercentage(
total.aging_complaint_keluhan.reduce((a: number, b: number) => a + b, 0) /
total.aging_complaint_keluhan.length
),
formatPercentage(
total.avg_aging_complaint.reduce((a: number, b: number) => a + b, 0) /
total.avg_aging_complaint.length
)
]
formattedData.push([{ content: '1', styles: { halign: 'right' } }, summaryName, ...result])
formattedData.push([
{ content: 'RATA-RATA', colSpan: 2, styles: { fontStyle: 'bold' } },
...result
])
return formattedData
}
formattedData.push([
{ content: 'RATA-RATA', styles: { fontStyle: 'bold' } },
formatNumber(
total.avg_durasi_recovery_gangguan.reduce((a: number, b: number) => a + b, 0) /
total.avg_durasi_recovery_gangguan.length
),
formatNumber(
total.sla_gangguan.reduce((a: number, b: number) => a + b, 0) / total.sla_gangguan.length
),
formatNumber(
total.avg_durasi_recovery_keluhan.reduce((a: number, b: number) => a + b, 0) /
total.avg_durasi_recovery_keluhan.length
),
formatNumber(
total.sla_keluhan.reduce((a: number, b: number) => a + b, 0) / total.sla_keluhan.length
),
formatPercentage(
total.aging_complaint_gangguan.reduce((a: number, b: number) => a + b, 0) /
total.aging_complaint_gangguan.length
),
formatPercentage(
total.aging_complaint_keluhan.reduce((a: number, b: number) => a + b, 0) /
total.aging_complaint_keluhan.length
),
formatPercentage(
total.avg_aging_complaint.reduce((a: number, b: number) => a + b, 0) /
total.avg_aging_complaint.length
)
])
return formattedData
}
const exportToPDF = (reportMeta: any, rawData: any, preview: boolean = false) => {
@@ -169,7 +280,7 @@ const exportToPDF = (reportMeta: any, rawData: any, preview: boolean = false) =>
const date = new Date().getDate()
const month = new Date().toLocaleString('id-ID', { month: 'long' })
const year = new Date().getFullYear()
const data = formatData(rawData)
const data = formatData(rawData, reportMeta)
const doc = new jsPDF({
orientation: 'landscape'
})
@@ -583,9 +694,16 @@ const exportDetailToXLSX = (reportMeta: any, e: any) => {
e.cancel = true
}
const exportToDOCX = (reportMeta: any, rawData: any) => {
exportToWord(reportMeta, formatData(rawData), `Laporan ${reportName}`, null)
exportToWord(reportMeta, formatData(rawData, reportMeta), `Laporan ${reportName}`, null)
}
const exportDetailToDOCX = (reportMeta: any, rawData: any) => {
exportDetailToWord(reportMeta, rawData, `Laporan Detail ${reportName}`, null)
}
export { exportToPDF, exportToXLSX, exportDetailToPDF, exportDetailToXLSX ,exportToDOCX,exportDetailToDOCX}
export {
exportToPDF,
exportToXLSX,
exportDetailToPDF,
exportDetailToXLSX,
exportToDOCX,
exportDetailToDOCX
}