fix: goodjudgmentopen type
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@ -1,12 +1,13 @@
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/* Imports */
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import axios from "axios";
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import { Tabletojson } from "tabletojson";
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import {Tabletojson} from "tabletojson";
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import { average } from "../../utils";
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import { applyIfSecretExists } from "../utils/getSecrets";
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import { sleep } from "../utils/sleep";
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import {average} from "../../utils";
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import {applyIfSecretExists} from "../utils/getSecrets";
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import {sleep} from "../utils/sleep";
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import toMarkdown from "../utils/toMarkdown";
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import { FetchedQuestion, Platform } from "./";
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import {FetchedQuestion, Platform} from "./";
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import {FullQuestionOption} from "../../common/types";
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/* Definitions */
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const platformName = "goodjudgmentopen";
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@ -24,33 +25,33 @@ const id = () => 0;
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/* Support functions */
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function cleanDescription(text: string) {
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function cleanDescription(text : string) {
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let md = toMarkdown(text);
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let result = md.replaceAll("---", "-").replaceAll(" ", " ");
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return result;
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}
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async function fetchPage(page: number, cookie: string) {
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async function fetchPage(page : number, cookie : string) {
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const response: string = await axios({
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url: htmlEndPoint + page,
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method: "GET",
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headers: {
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Cookie: cookie,
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},
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Cookie: cookie
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}
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}).then((res) => res.data);
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//console.log(response)
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// console.log(response)
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return response;
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}
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async function fetchStats(questionUrl: string, cookie: string) {
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async function fetchStats(questionUrl : string, cookie : string) {
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let response: string = await axios({
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url: questionUrl + "/stats",
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method: "GET",
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headers: {
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"Content-Type": "text/html",
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Cookie: cookie,
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Referer: questionUrl,
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},
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Referer: questionUrl
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}
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}).then((res) => res.data);
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if (response.includes("Sign up or sign in to forecast")) {
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@ -61,9 +62,7 @@ async function fetchStats(questionUrl: string, cookie: string) {
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// Parse the embedded json
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let htmlElements = response.split("\n");
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let jsonLines = htmlElements.filter((element) =>
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element.includes("data-react-props")
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);
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let jsonLines = htmlElements.filter((element) => element.includes("data-react-props"));
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let embeddedJsons = jsonLines.map((jsonLine, i) => {
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let innerJSONasHTML = jsonLine.split('data-react-props="')[1].split('"')[0];
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let json = JSON.parse(innerJSONasHTML.replaceAll(""", '"'));
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@ -76,27 +75,11 @@ async function fetchStats(questionUrl: string, cookie: string) {
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let numforecasters = firstEmbeddedJson.question.predictors_count;
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let numforecasts = firstEmbeddedJson.question.prediction_sets_count;
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let questionType = firstEmbeddedJson.question.type;
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if (
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questionType.includes("Binary") ||
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questionType.includes("NonExclusiveOpinionPoolQuestion") ||
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questionType.includes("Forecast::Question") ||
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!questionType.includes("Forecast::MultiTimePeriodQuestion")
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) {
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options = firstEmbeddedJson.question.answers.map((answer: any) => ({
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name: answer.name,
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probability: answer.normalized_probability,
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type: "PROBABILITY",
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}));
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if (questionType.includes("Binary") || questionType.includes("NonExclusiveOpinionPoolQuestion") || questionType.includes("Forecast::Question") || ! questionType.includes("Forecast::MultiTimePeriodQuestion")) {
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options = firstEmbeddedJson.question.answers.map((answer : any) => ({name: answer.name, probability: answer.normalized_probability, type: "PROBABILITY"}));
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if (options.length == 1 && options[0].name == "Yes") {
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let probabilityNo =
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options[0].probability > 1
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? 1 - options[0].probability / 100
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: 1 - options[0].probability;
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options.push({
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name: "No",
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probability: probabilityNo,
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type: "PROBABILITY",
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});
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let probabilityNo = options[0].probability > 1 ? 1 - options[0].probability / 100 : 1 - options[0].probability;
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options.push({name: "No", probability: probabilityNo, type: "PROBABILITY"});
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}
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}
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let result = {
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@ -105,30 +88,28 @@ async function fetchStats(questionUrl: string, cookie: string) {
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qualityindicators: {
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numforecasts: Number(numforecasts),
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numforecasters: Number(numforecasters),
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comments_count: Number(comments_count),
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},
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comments_count: Number(comments_count)
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}
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};
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// console.log(JSON.stringify(result, null, 4));
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return result;
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}
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function isSignedIn(html: string) {
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let isSignedInBool = !(
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html.includes("You need to sign in or sign up before continuing") ||
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html.includes("Sign up")
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);
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function isSignedIn(html : string) {
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let isSignedInBool = !(html.includes("You need to sign in or sign up before continuing") || html.includes("Sign up"));
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// console.log(html)
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if (!isSignedInBool) {
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if (! isSignedInBool) {
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console.log("Error: Not signed in.");
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}
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console.log(`is signed in? ${isSignedInBool ? "yes" : "no"}`);
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console.log(`is signed in? ${
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isSignedInBool ? "yes" : "no"
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}`);
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return isSignedInBool;
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}
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function reachedEnd(html: string) {
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function reachedEnd(html : string) {
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let reachedEndBool = html.includes("No questions match your filter");
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if (reachedEndBool) {
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//console.log(html)
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if (reachedEndBool) { // console.log(html)
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}
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console.log(`Reached end? ${reachedEndBool}`);
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return reachedEndBool;
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@ -136,7 +117,7 @@ function reachedEnd(html: string) {
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/* Body */
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async function goodjudgmentopen_inner(cookie: string) {
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async function goodjudgmentopen_inner(cookie : string) {
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let i = 1;
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let response = await fetchPage(i, cookie);
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@ -144,7 +125,7 @@ async function goodjudgmentopen_inner(cookie: string) {
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let init = Date.now();
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// console.log("Downloading... This might take a couple of minutes. Results will be shown.")
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console.log("Page #1")
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while (!reachedEnd(response) && isSignedIn(response)) {
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while (! reachedEnd(response) && isSignedIn(response)) {
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let htmlLines = response.split("\n");
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DEBUG_MODE == "on" ? htmlLines.forEach((line) => console.log(line)) : id();
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let h5elements = htmlLines.filter((str) => str.includes("<h5> <a href="));
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@ -153,20 +134,19 @@ async function goodjudgmentopen_inner(cookie: string) {
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for (let h5element of h5elements) {
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let h5elementSplit = h5element.split('"><span>');
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let url = h5elementSplit[0].split('<a href="')[1];
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if (!annoyingPromptUrls.includes(url)) {
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if (! annoyingPromptUrls.includes(url)) {
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let title = h5elementSplit[1].replace("</span></a></h5>", "");
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await sleep(1000 + Math.random() * 1000); // don't be as noticeable
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try {
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let moreinfo = await fetchStats(url, cookie);
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if (moreinfo.isbinary) {
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if (!moreinfo.crowdpercentage) {
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// then request again.
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/*if (moreinfo.isbinary) {
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if (! moreinfo.crowdpercentage) { // then request again.
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moreinfo = await fetchStats(url, cookie);
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}
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}
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}*/
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let questionNumRegex = new RegExp("questions/([0-9]+)");
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const questionNumMatch = url.match(questionNumRegex);
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if (!questionNumMatch) {
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if (! questionNumMatch) {
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throw new Error(`Couldn't find question num in ${url}`);
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}
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let questionNum = questionNumMatch[1];
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@ -176,21 +156,19 @@ async function goodjudgmentopen_inner(cookie: string) {
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title: title,
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url: url,
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platform: platformName,
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...moreinfo,
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... moreinfo
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};
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if (j % 30 == 0 || DEBUG_MODE == "on") {
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console.log(`Page #${i}`);
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console.log(question);
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}else{
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} else {
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console.log(question.title)
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}
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// console.log(question)
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results.push(question);
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} catch (error) {
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console.log(error);
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console.log(
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`We encountered some error when fetching the URL: ${url}, so it won't appear on the final json`
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);
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console.log(`We encountered some error when fetching the URL: ${url}, so it won't appear on the final json`);
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}
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}
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j = j + 1;
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@ -203,9 +181,7 @@ async function goodjudgmentopen_inner(cookie: string) {
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response = await fetchPage(i, cookie);
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} catch (error) {
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console.log(error);
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console.log(
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`We encountered some error when fetching page #${i}, so it won't appear on the final json`
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);
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console.log(`We encountered some error when fetching page #${i}, so it won't appear on the final json`);
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}
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}
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@ -216,9 +192,11 @@ async function goodjudgmentopen_inner(cookie: string) {
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let end = Date.now();
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let difference = end - init;
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console.log(
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`Took ${difference / 1000} seconds, or ${difference / (1000 * 60)} minutes.`
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);
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console.log(`Took ${
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difference / 1000
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} seconds, or ${
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difference / (1000 * 60)
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} minutes.`);
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return results;
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}
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@ -230,23 +208,18 @@ export const goodjudgmentopen: Platform = {
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version: "v1",
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async fetcher() {
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let cookie = process.env.GOODJUDGMENTOPENCOOKIE;
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return (await applyIfSecretExists(cookie, goodjudgmentopen_inner)) || null;
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return(await applyIfSecretExists(cookie, goodjudgmentopen_inner)) || null;
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},
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calculateStars(data) {
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let minProbability = Math.min(
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...data.options.map((option) => option.probability || 0)
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);
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let maxProbability = Math.max(
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...data.options.map((option) => option.probability || 0)
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);
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let minProbability = Math.min(...data.options.map((option) => option.probability || 0));
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let maxProbability = Math.max(...data.options.map((option) => option.probability || 0));
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let nuno = () => ((data.qualityindicators.numforecasts || 0) > 100 ? 3 : 2);
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let eli = () => 3;
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let misha = () =>
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minProbability > 0.1 || maxProbability < 0.9 ? 3.1 : 2.5;
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let misha = () => minProbability > 0.1 || maxProbability < 0.9 ? 3.1 : 2.5;
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let starsDecimal = average([nuno(), eli(), misha()]);
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let starsInteger = Math.round(starsDecimal);
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return starsInteger;
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},
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}
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};
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