feat: Added missing Hypermind tournament
- Also made the Hypermind code more maintainable.
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parent
ec28944178
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6144675a41
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@ -1,6 +1,8 @@
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/* Imports */
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import fs from 'fs'
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import axios from "axios"
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import https from "https"
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import fetch from "isomorphic-fetch"
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import {getCookie, applyIfCookieExists} from "../utils/getCookies.js"
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import toMarkdown from "../utils/toMarkdown.js"
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import { calculateStars } from "../utils/stars.js"
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@ -8,104 +10,80 @@ import { upsert } from "../utils/mongo-wrapper.js"
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/* Definitions */
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let hypermindEnpoint1 = 'https://predict.hypermind.com/dash/jsx.json'
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String.prototype.replaceAll = function replaceAll(search, replace) { return this.split(search).join(replace); }
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let hypermindEnpoint2 = 'https://prod.hypermind.com/ngdp-jsx/jsx.json'
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const insecureHttpsAgent = new https.Agent({
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rejectUnauthorized: false, // (NOTE: this will disable client verification)
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})
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/* Support Functions */
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String.prototype.replaceAll = function replaceAll(search, replace) { return this.split(search).join(replace); }
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function sleep(ms) {
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return new Promise(resolve => setTimeout(resolve, ms));
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}
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/* Fetchers */
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async function fetchHypermindData1(slug) {
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let response = await axios("https://predict.hypermind.com/dash/jsx.json", {
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let jsx = `jsx=%5B%5B%22dataMgr%22%2C%22getGQList%22%2C%7B%22listName%22%3A%20%22${slug}%22%2C%22format%22%3A%20%7B%22props%22%3A%20true%2C%22posts%22%3A%20true%2C%22cond%22%3A%20%7B%22props%22%3A%20true%2C%22otcm%22%3A%20%7B%22tradingHistory%22%3A%20true%2C%22props%22%3A%20true%7D%7D%2C%22otcm%22%3A%20%7B%22tradingHistory%22%3A%20true%2C%22props%22%3A%20true%7D%7D%7D%5D%5D`
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// console.log(jsx)
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let response = await await axios(hypermindEnpoint1, {
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"credentials": "omit",
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"headers": {
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"User-Agent": "",
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"Accept": "*/*",
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"User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:90.0) Gecko/20100101 Firefox/90.0",
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"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
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"Accept-Language": "en-US,en;q=0.5",
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"Content-Type": "application/x-www-form-urlencoded; charset=UTF-8"
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"Content-Type": "application/x-www-form-urlencoded; charset=UTF-8",
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"Upgrade-Insecure-Requests": "1",
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"Sec-Fetch-Dest": "document",
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"Sec-Fetch-Mode": "navigate",
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"Sec-Fetch-Site": "none",
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"Sec-Fetch-User": "?1",
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"Cache-Control": "max-age=0"
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},
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"referrer": `https://predict.hypermind.com/dash/dash/dash.html?list=${slug}`,
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"data": `jsx=%5B%5B%22dataMgr%22%2C%22getGQList%22%2C%7B%22listName%22%3A%20%22${slug}%22%2C%22format%22%3A%20%7B%22props%22%3A%20true%2C%22posts%22%3A%20true%2C%22cond%22%3A%20%7B%22props%22%3A%20true%2C%22otcm%22%3A%20%7B%22tradingHistory%22%3A%20true%2C%22props%22%3A%20true%7D%7D%2C%22otcm%22%3A%20%7B%22tradingHistory%22%3A%20true%2C%22props%22%3A%20true%7D%7D%7D%5D%5D`,
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"data": jsx,
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"method": "POST",
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"mode": "cors"
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}).then(resp => resp.data[0].questions)
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return response
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}
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async function fetchHypermindData2(cookie) {
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let response = await axios("https://prod.hypermind.com/ngdp-jsx/jsx.json", {
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"credentials": "include",
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"headers": {
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"User-Agent": "",
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"Accept": "*/*",
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"Accept-Language": "en-US,en;q=0.5",
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"Content-Type": "application/json; charset=UTF-8",
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"Cookie": cookie
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},
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"referrer": "https://prod.hypermind.com/ngdp/en/showcase/showcase.html?inFrame=true",
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"data": `[["showcase","queryIFPs",{"query":{"showcaseOnly":true},"fmt":{"stats":true,"crowdFcstHist":true}}]]`,
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"method": "POST",
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"mode": "cors"
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}).then(resp => resp.data[0])
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return response
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}
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async function fetchHypermindData3(cookie) {
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let response = await axios("https://prod.hypermind.com/ngdp-jsx/jsx.json", {
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"credentials": "include",
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"headers": {
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"User-Agent": "",
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"Accept": "*/*",
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"Accept-Language": "en-US,en;q=0.5",
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"Content-Type": "application/json; charset=UTF-8",
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"Cookie": cookie
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},
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"referrer": "https://prod.hypermind.com/ngdp/en/showcase/showcase.html?inFrame=true",
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"data": `[["showcase","getShowcase",{"showcase":"Covid19","fmt":{"fcsterCnt":true,"crowdFcst":true,"crowdFcstHist":true}}]]`,
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"method": "POST",
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"mode": "cors"
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})
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.then(resp => resp.data[0].items)
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.then(items => items.filter(item => item.type == "IFP"))
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.then(items => items.map(item => item.IFP))
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"mode": "cors",
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httpsAgent: insecureHttpsAgent
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}).then(response => response.data[0].questions)
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//console.log(response)
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return response
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}
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async function fetchHypermindData4(cookie) {
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let response = await axios("https://prod.hypermind.com/ngdp-jsx/jsx.json", {
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async function fetchHypermindDataShowcases(slug, cookie) {
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let response = await axios(hypermindEnpoint2, {
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"credentials": "include",
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"headers": {
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"User-Agent": "",
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"Accept": "*/*",
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"Accept-Language": "en-US,en;q=0.5",
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"Content-Type": "application/json; charset=UTF-8",
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"Cookie": cookie
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//"Cookie": cookie
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},
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"referrer": "https://prod.hypermind.com/ngdp/en/showcase/showcase.html?inFrame=true",
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"data": `[["showcase","getShowcase",{"showcase":"AI2023","fmt":{"fcsterCnt":true,"crowdFcst":true,"crowdFcstHist":true}}]]`,
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"data": `[["showcase","getShowcase",{"showcase":"${slug}","fmt":{"fcsterCnt":true,"crowdFcst":true,"crowdFcstHist":true}}]]`,
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"method": "POST",
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"mode": "cors"
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})
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.then(resp => resp.data[0].items)
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"mode": "cors",
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httpsAgent: insecureHttpsAgent
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}).then(resp => resp.data[0].items)
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.then(items => items.filter(item => item.type == "IFP"))
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.then(items => items.map(item => item.IFP))
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//console.log(response)
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return response
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}
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/* Body */
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async function hypermind_inner(cookie) {
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let slugs = ["USA", "FRA", "AFR", "INT", "COV", "POL", "ECO"]
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// Prediction markets; dashboard type one.
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// https://predict.hypermind.com/dash/dash/dash.html?list=SLUG
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// e.g., https://predict.hypermind.com/dash/dash/dash.html?list=POL
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let slugs1 = ["USA", "FRA", "AFR", "INT", "COV", "POL", "ECO"]
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let results1 = []
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for (let slug of slugs) {
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for (let slug of slugs1) {
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console.log(slug)
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await sleep(2000 + Math.random() * 2000)
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let result = await fetchHypermindData1(slug)
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//console.log(result)
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let objs = result.map(res => {
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let descriptionraw = res.props.details
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let descriptionprocessed1 = descriptionraw.split("%%fr")[0]
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@ -135,21 +113,26 @@ async function hypermind_inner(cookie) {
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}
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})
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})
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// console.log(objs)
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results1.push(...objs)
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}
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console.log("GDP")
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// Hypermind panelists and competitors; dashboard type two: "showcase"
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// https://prod.hypermind.com/ngdp/fr/showcase2/showcase.html?sc=SLUG
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// E.g., https://prod.hypermind.com/ngdp/fr/showcase2/showcase.html?sc=AI2023
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let slugs2 = [ "Covid19", "DOSES", "H5N8", "NGDP", "JSAI", "AI2023", "AI2030"]
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let results2 = []
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for(let slug of slugs2){
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console.log(slug)
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await sleep(1000 + Math.random() * 1000)
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let results2 = await fetchHypermindData2(cookie)
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let results2processed = results2.map(res => {
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//console.log(res.props.details)
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let descriptionraw = res.props.details.split("<hr size=1>")[0]
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let response = await fetchHypermindDataShowcases(slug)
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let objs = response.map(result => {
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let descriptionraw = result.props.details.split("<hr size=1>")[0]
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let descriptionprocessed1 = toMarkdown(descriptionraw)
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let descriptionprocessed2 = descriptionprocessed1.split("![image]")[0]
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let description = descriptionprocessed2
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//console.log(description)
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return ({
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"title": res.props.title,
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"title": result.props.title,
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"url": "https://prod.hypermind.com/ngdp/en/showcase/showcase.html",
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"platform": "Hypermind",
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"description": description,
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@ -159,48 +142,11 @@ async function hypermind_inner(cookie) {
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}
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})
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})
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console.log("COVID-19 OpenPhil")
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await sleep(1000 + Math.random() * 1000)
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let results3 = await fetchHypermindData3(cookie)
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// console.log(results3)
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let results3processed = results3.map(res => {
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let descriptionraw = res.props.details.split("<hr size=1>")[0]
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let descriptionprocessed1 = toMarkdown(descriptionraw)
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let descriptionprocessed2 = descriptionprocessed1.split("![image]")[0]
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let description = descriptionprocessed2
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return ({
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"title": res.props.title,
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"url": "https://prod.hypermind.com/ngdp/en/showcase2/showcase.html?sc=Covid19",
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"platform": "Hypermind",
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"description": description,
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"options": [],
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"qualityindicators": {
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"stars": calculateStars("Hypermind", ({})),
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// console.log(objs)
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results2.push(...objs)
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}
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})
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})
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console.log("AI in 2023")
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await sleep(1000 + Math.random() * 1000)
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let results4 = await fetchHypermindData4(cookie)
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// console.log(results4)
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let results4processed = results2.map(res => {
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let description = res.props.details
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return ({
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"title": res.props.title,
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"url": "https://prod.hypermind.com/ngdp/en/showcase2/showcase.html?sc=AI2023",
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"platform": "Hypermind",
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"description": description,
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"options": [],
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"qualityindicators": {
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"stars": calculateStars("Hypermind", ({})),
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}
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})
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})
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let resultsTotal = [...results1, ...results2processed, ...results3processed, ...results4processed]
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let resultsTotal = [...results1, ...results2]
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let distinctTitles = []
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let resultsTotalUnique = []
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@ -210,7 +156,8 @@ async function hypermind_inner(cookie) {
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distinctTitles.push(result["title"])
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}
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}
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//console.log(resultsTotalUnique)
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// console.log(resultsTotal)
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console.log(resultsTotalUnique)
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// let string = JSON.stringify(resultsTotalUnique, null, 2)
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// fs.writeFileSync('./data/hypermind-questions.json', string);
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await upsert(resultsTotalUnique, "hypermind-questions")
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@ -39,6 +39,7 @@ export async function tryCatchTryAgain (fun) {
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}
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}
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}
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export async function doEverything(){
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let functions = [betfair, coupcast, csetforetell, elicit, /* estimize, */ fantasyscotus, foretold, /* goodjudgment, */ goodjudgmentopen, hypermind, ladbrokes, kalshi, metaculus, omen, polymarket, predictit, rootclaim, smarkets, williamhill, mergeEverything, updateHistory, rebuildAlgoliaDatabase, rebuildNetlifySiteWithNewData]
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// Removed Good Judgment from the fetcher, doing it using cron instead because cloudflare blocks the utility on heroku.
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