Sebastian Frank
1ebd1424e5
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deploy to production / deploy (push) Failing after 52s
152 lines
4.4 KiB
JavaScript
152 lines
4.4 KiB
JavaScript
/**
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*
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* @param {any} str
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*/
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function log(str) {
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console.log(JSON.stringify(str, undefined, 4))
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}
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/**
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* convert object to string
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* @param {any} obj object
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*/
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function obj2str(obj) {
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if (Array.isArray(obj)) {
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return JSON.stringify(
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obj.map(function (idx) {
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return obj2str(idx)
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})
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)
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} else if (typeof obj === "object" && obj !== null) {
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var elements = Object.keys(obj)
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.sort()
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.map(function (key) {
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var val = obj2str(obj[key])
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if (val) {
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return key + ":" + val
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}
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})
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var elementsCleaned = []
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for (var i = 0; i < elements.length; i++) {
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if (elements[i]) elementsCleaned.push(elements[i])
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}
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return "{" + elementsCleaned.join("|") + "}"
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}
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if (obj) return obj
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}
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var { LIGHTHOUSE_TOKEN } = require("../config")
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/**
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* clear SSR cache
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* @returns {number}
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*/
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function clearSSRCache() {
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var info = context.db.deleteMany("ssr", {})
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context.response.header("X-SSR-Cleared", info.removed)
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return info.removed
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}
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function calculateAverageDynamically(dbObjs) {
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const sumObj = {}
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let count = 0
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dbObjs.forEach((obj) => {
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accumulate(obj, sumObj)
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count++
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})
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function accumulate(sourceObj, targetObj) {
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for (const key in sourceObj) {
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if (typeof sourceObj[key] === "number") {
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targetObj[key] = (targetObj[key] || 0) + sourceObj[key]
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} else if (typeof sourceObj[key] === "object" && sourceObj[key] !== null) {
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targetObj[key] = targetObj[key] || {}
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accumulate(sourceObj[key], targetObj[key])
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}
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}
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}
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function average(targetObj) {
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for (const key in targetObj) {
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if (typeof targetObj[key] === "number") {
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targetObj[key] = targetObj[key] / count
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} else if (typeof targetObj[key] === "object") {
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average(targetObj[key])
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}
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}
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}
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average(sumObj)
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return sumObj
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}
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function run(url) {
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const response = context.http
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.fetch(url, {
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timeout: 300,
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method: "GET",
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headers: {
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"Content-Type": "application/json",
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},
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})
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.body.json()
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// needs enough traffic to be collected
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const cruxMetrics = {
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"First Contentful Paint": response?.loadingExperience?.metrics?.FIRST_CONTENTFUL_PAINT_MS?.category,
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"First Input Delay": response?.loadingExperience?.metrics?.FIRST_INPUT_DELAY_MS?.category,
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}
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const lighthouse = response.lighthouseResult
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const lighthouseMetrics = {
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FCPS: lighthouse.audits["first-contentful-paint"].score * 100,
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FCPV: lighthouse.audits["first-contentful-paint"].numericValue / 1000,
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FMPS: lighthouse.audits["first-meaningful-paint"].score * 100,
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FMPV: lighthouse.audits["first-meaningful-paint"].numericValue / 1000,
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SIS: lighthouse.audits["speed-index"].score * 100,
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SIV: lighthouse.audits["speed-index"].numericValue / 1000,
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TTIS: lighthouse.audits["interactive"].score * 100,
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TTIV: lighthouse.audits["interactive"].numericValue / 1000,
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FPIDS: lighthouse.audits["max-potential-fid"].score * 100,
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FPIDV: lighthouse.audits["max-potential-fid"].numericValue / 1000,
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}
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let dbObject = {
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cruxMetrics,
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lighthouseMetrics,
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performance: Math.round(lighthouse.categories.performance.score * 100),
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accessibility: Math.round(lighthouse.categories.accessibility.score * 100),
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bestPractices: Math.round(lighthouse.categories["best-practices"].score * 100),
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seo: Math.round(lighthouse.categories.seo.score * 100),
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}
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return dbObject
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}
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function setUpQuery(subPath = "/") {
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const api = "https://www.googleapis.com/pagespeedonline/v5/runPagespeed"
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let params = `category=performance&category=accessibility&category=best-practices&category=seo`
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const parameters = {
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url: encodeURIComponent(`https://allkids-erfurt.de/${subPath}`),
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key: LIGHTHOUSE_TOKEN,
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}
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let query = `${api}?`
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for (let key in parameters) {
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query += `${key}=${parameters[key]}&`
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}
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query += params // Append other parameters without URL encoding
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return query
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}
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module.exports = {
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log,
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clearSSRCache,
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obj2str,
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run,
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setUpQuery,
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calculateAverageDynamically,
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}
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