TypeScript xlsx.readFile函数代码示例

};

const write_opts: XLSX.WritingOptions = {
	type: "buffer",
	cellDates: false,
	bookSST: false,
	bookType: "xlsx",
	sheet: "Sheet1",
	compression: false,
	Props: {
		Author: "Someone",
		Company: "SheetJS LLC"
	}
};

const wb1 = XLSX.readFile("sheetjs.xls", read_opts);
XLSX.writeFile(wb1, "sheetjs.new.xlsx", write_opts);

read_opts.type = "binary";
const wb2 = XLSX.read("1,2,3\n4,5,6", read_opts);
write_opts.type = "binary";
const out2 = XLSX.write(wb2, write_opts);

read_opts.type = "buffer";
const wb3 = XLSX.read(fs.readFileSync("sheetjs.xlsx"), read_opts);
write_opts.type = "base64";
const out3 = XLSX.write(wb3, write_opts);
write_opts.type = "array";
const out4 = XLSX.write(wb3, write_opts);

const ws1 = XLSX.utils.aoa_to_sheet([

/**
 * Read excel file and save it into memory.
 * @param {string} register - Path to the register file.
 */
function importRegister(register: string) {
  const workbook = xlxs.readFile(register)
  const firstSheet = workbook.SheetNames[0]
  const worksheet = workbook.Sheets[firstSheet]
  return worksheet
}

 /**
  * @param file xlsx file
  */
 constructor(file: string) {
   this._book = XLSX.readFile(file);
 }

import * as XLSX from 'xlsx';

console.log(XLSX.version);

const bookType: string = "xlsb";
const fn: string = "sheetjsfbox." + bookType
const sn: string = "SheetJSFBox";
const aoa: any[][] = [ ["Sheet", "JS"], ["Fuse", "Box"], [72, 62] ];


var wb: XLSX.WorkBook = XLSX.utils.book_new();
var ws: XLSX.WorkSheet = XLSX.utils.aoa_to_sheet(aoa);
XLSX.utils.book_append_sheet(wb, ws, sn);

var payload: string = "";
var w2: XLSX.WorkBook;
if(typeof process != 'undefined' && process.versions && process.versions.node) {
	/* server */
	XLSX.writeFile(wb, fn);
	w2 = XLSX.readFile(fn)
} else {
	/* client */
	payload = XLSX.write(wb, {bookType: "xlsb", type:"binary"});
	w2 = XLSX.read(payload, {type:"binary"});
}

var s2: XLSX.WorkSheet = w2.Sheets[sn];
console.log(XLSX.utils.sheet_to_csv(s2));

async function importCodebook() {
    const codebookXLS = XLSX.readFile(CODEBOOK_FILE)
    const sheet = codebookXLS.Sheets[codebookXLS.SheetNames[0]]
    const codebookCSV = XLSX.utils.sheet_to_csv(sheet)

    const now = new Date()
    const codebookRows = await parseCSV(codebookCSV)
    const vdemVariables = codebookRows.slice(1).map(row => ({
        indicatorCode: row[0],
        indicatorName: row[1],
        shortDefinition: row[2],
        longDefinition: row[3],
        responses: row[4],
        dataRelease: row[5],
        aggregationMethod: row[6],
        variableSource: row[7].trim()
    }))

    // Need to handle these fussy subset codes separately
    const variablesByCode = _.keyBy(vdemVariables.filter(v => v.shortDefinition), v => v.indicatorCode)
    for (const v of vdemVariables) {
        const orig = variablesByCode[v.indicatorCode]
        if (orig !== v) {
            if (v.indicatorName.toLowerCase().indexOf("executive") !== -1) {
                v.indicatorCode += "_ex"
            } else if (v.indicatorName.toLowerCase().indexOf("legislative") !== -1) {
                v.indicatorCode += "_leg"
            } else {
                throw new Error("Unknown duplicate indicator: " + v.indicatorName)
            }

            v.shortDefinition = orig.shortDefinition
            v.responses = orig.responses
            v.dataRelease = orig.dataRelease
            v.aggregationMethod = orig.aggregationMethod
            v.variableSource = orig.variableSource
        }
    }

    // User responsible for uploading this data
    const userId = (await db.get(`SELECT * FROM users WHERE fullName=?`, ["Jaiden Mispy"])).id

    await db.transaction(async t => {

        const existingDataset = (await t.query("SELECT id FROM datasets WHERE namespace='vdem'"))[0]
        if (existingDataset) {
            await t.execute(`DELETE d FROM data_values AS d JOIN variables AS v ON d.variableId=v.id WHERE v.datasetId=?`, [existingDataset.id])
            await t.execute(`DELETE FROM variables WHERE datasetId=?`, [existingDataset.id])
            await t.execute(`DELETE FROM sources WHERE datasetId=?`, [existingDataset.id])
            await t.execute(`DELETE FROM datasets WHERE id=?`, [existingDataset.id])
        }

        const datasetRow = ['vdem', "V-Dem Dataset Version 8 - V-Dem Institute", "", false, now, now, now, userId, now, userId, userId]
        const result = await t.query("INSERT INTO datasets (namespace, name, description, isPrivate, createdAt, updatedAt, metadataEditedAt, metadataEditedByUserId, dataEditedAt, dataEditedByUserId, createdByUserId) VALUES (?)", [datasetRow])
        const datasetId = result.insertId

        const sourceName = "V-Dem Dataset Version 8 (2018)"

        for (let i = 0; i < vdemVariables.length; i++) {
            const v = vdemVariables[i]

            let additionalInfo = "This variable was imported into the OWID database from Version 8 of the V-Dem Dataset. Here is the original metadata given by the V-Dem Codebook:\n\n"

            additionalInfo += `Indicator Name: ${v.indicatorName}\n\n`
            additionalInfo += `Indicator Code: ${v.indicatorCode}\n\n`
            if (v.shortDefinition)
                additionalInfo += `Short definition: ${v.shortDefinition}\n\n`
            if (v.longDefinition)
                additionalInfo += `Long definition: ${v.longDefinition}\n\n`
            if (v.responses)
                additionalInfo += `Responses: ${v.responses}\n\n`
            if (v.dataRelease)
                additionalInfo += `Data release: ${v.dataRelease}\n\n`
            if (v.aggregationMethod)
                additionalInfo += `Aggregation method: ${v.aggregationMethod}`

            if (v.indicatorCode === "v2exdfcbhs_rec") {
                additionalInfo += "\n| Notes: v2exdfcbhs_rec is a version of v2exdfcbhs, for v2exdfcbhs_rec the answer categories 1 and 2, 3 and 4 has been merged."
                v.indicatorName += " (rec)"
            }

            const sourceDescription = {
                dataPublishedBy: "V-Dem Institute",
                dataPublisherSource: v.variableSource,
                link: findUrlsInText(v.variableSource).join(","),
                additionalInfo: additionalInfo
            }
            const sourceRow = [datasetId, sourceName, now, now, JSON.stringify(sourceDescription)]

            const sourceResult = await t.query("INSERT INTO sources (datasetId, name, createdAt, updatedAt, description) VALUES (?)", [sourceRow])
            const sourceId = sourceResult.insertId

            const variableRow = [datasetId, sourceId, i, v.indicatorName, v.indicatorCode, v.shortDefinition, now, now, JSON.stringify(v), "", "", "", "{}"]
            await t.query("INSERT INTO variables (datasetId, sourceId, columnOrder, name, code, description, createdAt, updatedAt, originalMetadata, unit, coverage, timespan, display) VALUES (?)", [variableRow])
        }
    })
}