feat: save further insight progress.
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@ -1,20 +1,32 @@
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/* Imports */
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/* Imports */
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import {or} from "ajv/dist/compile/codegen";
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import axios from "axios";
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import axios from "axios";
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import {FetchedQuestion, Platform} from ".";
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import {FetchedQuestion, Platform} from ".";
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import {QuestionOption} from "../../common/types";
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import toMarkdown from "../utils/toMarkdown";
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import toMarkdown from "../utils/toMarkdown";
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/* Definitions */
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/* Definitions */
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const platformName = "insight";
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const platformName = "insight";
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const marketsEnpoint = "https://insightprediction.com/api/markets?orderBy=is_resolved&sortedBy=asc";
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const marketsEnpoint = "https://insightprediction.com/api/markets?orderBy=is_resolved&sortedBy=asc";
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const getMarketEndpoint = (id : number) => `https://insightprediction.com/api/markets/${id}`;
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const getMarketEndpoint = (id : number) => `https://insightprediction.com/api/markets/${id}`;
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const SPORTS_CATEGORIES = [
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'World Cup',
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'MLB',
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'Futures',
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'Sports',
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'EPL',
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'Golf',
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'NHL',
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'College Football'
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]
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/* Support functions */
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/* Support functions */
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// Stubs
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// Stubs
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const excludeMarketFromTitle = (title : any) => {
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const excludeMarketFromTitle = (title : any) => {
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if (!!title) {
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if (!!title) {
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return title.includes(" vs ") || title.includes(" Over: ")
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return title.includes(" vs ") || title.includes(" Over: ") || title.includes("NFL") || title.includes("Will there be a first time winner") || title.includes("Premier League")
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} else {
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} else {
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return true
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return true
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}
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}
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@ -44,6 +56,15 @@ const processDescriptionText = (text : any) => {
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}
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}
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}
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}
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const getOrderbookPrize = (orderbook : any) => {
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let yes_min_cents = orderbook.yes.buy[0].price
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let yes_max_cents = orderbook.yes.sell[0].price
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let yes_min = Number(yes_min_cents.slice(0, -1))
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let yes_max = Number(yes_max_cents.slice(0, -1))
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let yes_price_orderbook = geomMean(yes_min, yes_max)
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return yes_price_orderbook
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}
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// Fetching
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// Fetching
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async function fetchPage(bearer: string, pageNum: number) {
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async function fetchPage(bearer: string, pageNum: number) {
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let pageUrl = `${marketsEnpoint}&page=${pageNum}`
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let pageUrl = `${marketsEnpoint}&page=${pageNum}`
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@ -76,9 +97,12 @@ async function fetchMarket(bearer: string, marketId: number) {
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}
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}
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const processMarket = (market : any) => {
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const processMarket = (market : any) => {
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let hasData = !!market && !!market.answer && !!market.answer.data
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let hasData = !!market && !!market.answer && !!market.answer.data
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const id = `${platformName}-${
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market.id
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}`;
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if (hasData) {
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if (hasData) {
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let data = market.answer.data
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let data = market.answer.data
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// console.log("has data")
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// console.log("has data")
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@ -87,16 +111,10 @@ const processMarket = (market : any) => {
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// console.log("has orderbook")
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// console.log("has orderbook")
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// console.log(JSON.stringify(orderbook, null, 2))
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// console.log(JSON.stringify(orderbook, null, 2))
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if (!! orderbook && hasActiveYesNoOrderBook(orderbook)) { // console.log("has active orderbook")
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if (!! orderbook && hasActiveYesNoOrderBook(orderbook)) { // console.log("has active orderbook")
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let yes_min_cents = orderbook.yes.buy[0].price
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let yes_max_cents = orderbook.yes.sell[0].price
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let yes_min = Number(yes_min_cents.slice(0, -1))
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let yes_max = Number(yes_max_cents.slice(0, -1))
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let yes_price_orderbook = geomMean(yes_min, yes_max)
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let latest_yes_price = data[0].latest_yes_price
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let latest_yes_price = data[0].latest_yes_price
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let yes_price_orderbook = getOrderbookPrize(orderbook)
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let yes_probability = latest_yes_price ? geomMean(latest_yes_price, yes_price_orderbook) : yes_price_orderbook
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let yes_probability = latest_yes_price ? geomMean(latest_yes_price, yes_price_orderbook) : yes_price_orderbook
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const id = `${platformName}-${
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market.id
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}`;
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const probability = yes_probability / 100;
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const probability = yes_probability / 100;
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const options: FetchedQuestion["options"] = [
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const options: FetchedQuestion["options"] = [
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{
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{
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@ -125,7 +143,35 @@ const processMarket = (market : any) => {
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return null
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return null
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}
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}
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} else { // non binary question
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} else { // non binary question
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return null // for now
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console.log("Non-binary question")
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console.log(market)
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console.log(data)
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let options = []
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for (let answer of data) {
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let orderbook = answer.orderbook
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if (!! orderbook && hasActiveYesNoOrderBook(orderbook)) {
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let latest_yes_price = answer.latest_yes_price
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let yes_price_orderbook = getOrderbookPrize(orderbook)
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let yes_probability = latest_yes_price ? geomMean(latest_yes_price, yes_price_orderbook) : yes_price_orderbook
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let newOption: QuestionOption = ({
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name: String(answer.title),
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probability: Number(yes_probability / 100),
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type: "PROBABILITY"
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});
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options.push(newOption)
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}
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}
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const result: FetchedQuestion = {
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id: id,
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title: market.title,
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url: market.url,
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description: processDescriptionText(market.rules),
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options,
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qualityindicators: market.coin_id == "USD" ? (
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{volume: market.volume}
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) : ({})
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};
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return result;
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}
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}
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} else {
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} else {
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return null
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return null
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@ -133,7 +179,7 @@ const processMarket = (market : any) => {
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}
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}
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async function fetchAllMarkets(bearer: string) {
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async function fetchAllMarkets(bearer: string) {
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let pageNum = 1
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let pageNum = 2559
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let markets = []
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let markets = []
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let categories = []
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let categories = []
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let isEnd = false
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let isEnd = false
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@ -153,6 +199,7 @@ async function fetchAllMarkets(bearer: string) {
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let fullMarketData = fullMarketDataResponse.data
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let fullMarketData = fullMarketDataResponse.data
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let processedMarketData = processMarket(fullMarketData)
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let processedMarketData = processMarket(fullMarketData)
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if (processedMarketData != null && ! SPORTS_CATEGORIES.includes(fullMarketData.category)) {
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console.log(`- Adding: ${
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console.log(`- Adding: ${
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fullMarketData.title
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fullMarketData.title
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}`)
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}`)
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@ -161,7 +208,6 @@ async function fetchAllMarkets(bearer: string) {
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console.log(JSON.stringify(processedMarketData, null, 2))
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console.log(JSON.stringify(processedMarketData, null, 2))
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console.groupEnd()
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console.groupEnd()
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if (processedMarketData != null) {
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markets.push(processedMarketData)
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markets.push(processedMarketData)
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}
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}
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