/* Imports */
import fs from 'fs'
import axios from "axios"
import {getCookie, applyIfCookieExists} from "../utils/getCookies.js"
import { Tabletojson } from "tabletojson"
import { calculateStars } from "../utils/stars.js"
import toMarkdown from "../utils/toMarkdown.js"
import { upsert } from "../utils/mongo-wrapper.js"
/* Definitions */
let htmlEndPoint = 'https://www.gjopen.com/questions?page='
let annoyingPromptUrls = ["https://www.gjopen.com/questions/1933-what-forecasting-questions-should-we-ask-what-questions-would-you-like-to-forecast-on-gjopen", "https://www.gjopen.com/questions/1779-are-there-any-forecasting-tips-tricks-and-experiences-you-would-like-to-share-and-or-discuss-with-your-fellow-forecasters"]
/* Support functions */
async function fetchPage(page, cookie) {
let response = await axios({
url: htmlEndPoint + page,
method: 'GET',
headers: ({
'Content-Type': 'text/html',
'Cookie': cookie
}),
})
.then(res => res.data)
//console.log(response)
return response
}
async function fetchStats(questionUrl, cookie) {
let response = await axios({
url: questionUrl + "/stats",
method: 'GET',
headers: ({
'Content-Type': 'text/html',
'Cookie': cookie,
'Referer': questionUrl,
}),
})
.then(res => res.data)
//console.log(response)
// Is binary?
let isbinary = response.includes("binary?":true")
let options = []
if (isbinary) {
// Crowd percentage
let htmlElements = response.split("\n")
let h3Element = htmlElements.filter(str => str.includes("
"))[0]
// console.log(h3Element)
let crowdpercentage = h3Element.split(">")[1].split("<")[0]
let probability = Number(crowdpercentage.replace("%", "")) / 100
options.push(({
name: "Yes",
probability: probability,
type: "PROBABILITY"
}), ({
name: "No",
probability: +(1 - probability).toFixed(2), // avoids floating point shenanigans
type: "PROBABILITY"
}))
} else {
let optionsHtmlElement = "
"
let tablesAsJson = Tabletojson.convert(optionsHtmlElement)
let firstTable = tablesAsJson[0]
options = firstTable.map(element => ({
name: element['0'],
probability: Number(element['1'].replace("%", "")) / 100,
type: "PROBABILITY"
}))
//console.log(optionsHtmlElement)
//console.log(options)
}
// Description
let descriptionraw = response.split(``)[1]
let descriptionprocessed1 = descriptionraw.split(`
`)[0]
let descriptionprocessed2 = toMarkdown(descriptionprocessed1)
let descriptionprocessed3 = descriptionprocessed2.split("\n")
.filter(string => !string.includes("Confused? Check our"))
.join("\n")
let description = descriptionprocessed3
// Number of forecasts
let numforecasts = response.split("prediction_sets_count":")[1].split(",")[0]
//console.log(numforecasts)
// Number of predictors
let numforecasters = response.split("predictors_count":")[1].split(",")[0]
//console.log(numpredictors)
// Calculate the stars
let minProbability = Math.min(...options.map(option => option.probability))
let maxProbability = Math.max(...options.map(option => option.probability))
let result = {
"description": description,
"options": options,
"timestamp": new Date().toISOString(),
"qualityindicators": {
"numforecasts": Number(numforecasts),
"numforecasters": Number(numforecasters),
"stars": calculateStars("Good Judgment Open", ({ numforecasts, minProbability, maxProbability }))
}
}
return result
}
function isSignedIn(html){
let isSignedInBool = !( html.includes("You need to sign in or sign up before continuing") || html.includes("Sign up") )
// console.log(html)
if(!isSignedInBool){
console.log("Error: Not signed in.")
}
console.log(`is signed in? ${isSignedInBool}`)
return isSignedInBool
}
function isEnd(html){
let isEndBool = html.includes("No questions match your filter")
if(isEndBool){
//console.log(html)
}
console.log(`IsEnd? ${isEndBool}`)
return isEndBool
}
function sleep(ms) {
return new Promise(resolve => setTimeout(resolve, ms));
}
/* Body */
async function goodjudgmentopen_inner(cookie) {
let i = 1
let response = await fetchPage(i, cookie)
let results = []
let init = Date.now()
// console.log("Downloading... This might take a couple of minutes. Results will be shown.")
while(!isEnd(response) && isSignedIn(response)){
// console.log(`Page #${i}`)
let htmlLines = response.split("\n")
let h5elements = htmlLines.filter(str => str.includes("