fix: Kalshi and Betfair stars are now 3

src/platforms/betfair-fetch.js

@@ -74,8 +74,12 @@ async function whipIntoShape(data){
 
 async function processPredictions(data) {
   let predictions = await whipIntoShape(data)
-  console.log(JSON.stringify(predictions, null, 4))
+  // console.log(JSON.stringify(predictions, null, 4))
   let results = predictions.map(prediction => {
+    /* if(Math.floor(Math.random() * 10) % 20 ==0){
+       console.log(JSON.stringify(prediction, null, 4))
+    } */
+    
     let normalizationFactor =  (prediction.options
       .filter(option => option.status == "ACTIVE" && option.totalMatched > 0)
       .map(option => option.lastPriceTraded))
@@ -100,7 +104,7 @@ async function processPredictions(data) {
       .replace(/\n/g, " ")
       .trim()
     if(rules == undefined){
-      console.log(prediction.description)
+      // console.log(prediction.description)
     }
     let title = rules.split("? ")[0] + "?"
     let description = rules.split("? ")[1].trim()
@@ -109,7 +113,7 @@ async function processPredictions(data) {
     }
     let result = ({
       "title": title,
-      "url": `https://betfair.com`,
+      "url": `https://www.betfair.com/exchange/plus/politics/market/${prediction.marketId}`,
       "platform": "Betfair",
       "description": description,
       "options": options,

src/platforms/csetforetell-fetch-old.js

@@ -101,7 +101,7 @@ async function fetchStats(questionUrl, cookie){
     "timestamp": new Date().toISOString(),
     "qualityindicators": {
       "numforecasts": numforecasts,
-      "numforecasters": numforecasters,
+      "num_forecasters": numforecasters,
       "stars": calculateStars("CSET-foretell", {numforecasts})
     }
   }

src/platforms/csetforetell-fetch.js

@@ -123,7 +123,7 @@ async function fetchStats(questionUrl, cookie){
     "timestamp": new Date().toISOString(),
     "qualityindicators": {
       "numforecasts": numforecasts,
-      "numforecasters": numforecasters,
+      "num_forecasters": numforecasters,
       "stars": calculateStars("CSET-foretell", {numforecasts})
     }
   }

src/utils/manualDownloadFromMongo.js

@@ -7,4 +7,15 @@ let main = async () => {
   let string = JSON.stringify(json, null, 2)
   fs.writeFileSync('metaforecasts.json', string);
 }
-main()
+// main()
+
+let extractQualityIndicators = async () => {
+  let json = await mongoReadWithReadCredentials("metaforecasts")
+  let qualityIndicators = []
+  json.forEach(forecast => qualityIndicators.push(...Object.keys(forecast.qualityindicators)))
+  qualityIndicators = [...new Set(qualityIndicators)]
+  console.log(qualityIndicators)
+  // let string = JSON.stringify(json, null, 2)
+  // fs.writeFileSync('metaforecasts.json', string);
+}
+extractQualityIndicators()

src/utils/pullSuperforecastsManually.js

@@ -1,5 +1,5 @@
 /* Imports */
-import {goodjudgment} from "../platforms/goodjudgment-fetch.js"
+import { goodjudgment } from "../platforms/goodjudgment-fetch.js"
 
 /* Definitions */
 

src/utils/pullSuperforecastsManually.sh

@@ -1,4 +1,4 @@
 #!/bin/bash
 cd /home/nuno/Documents/core/software/fresh/js/metaforecasts/metaforecasts-mongo
-/usr/bin/node ./src/utils/pullSuperforecastsManually.js
+date > done.txt
-echo "done" > done.txt
+/home/nuno/.nvm/versions/node/v16.4.2/bin/node ./src/utils/pullSuperforecastsManually.js >> done.txt

src/utils/stars.js

@@ -38,9 +38,9 @@ function calculateStarsAstralCodexTen(data) {
 
 function calculateStarsBetfair(data) {
   let nuno = data => data.volume > 1000 ? 3 : 2
-  let eli = (data) => data.volume > 10000 ? 5 : 4
+  let eli = (data) => data.volume > 10000 ? null : null
-  let misha = (data) => 3.5
+  let misha = (data) => null
-  let starsDecimal = average([nuno(data), eli(data), misha(data)])
+  let starsDecimal = average([nuno(data)]) //, eli(data), misha(data)])
   // Substract 1 star if probability is above 90% or below 10%
   if(data.option &&
     (data.option.probability < 0.1 || data.option.probability > 0.9)
@@ -132,10 +132,10 @@ function calculateStarsHypermind(data) {
 }
 
 function calculateStarsKalshi(data) {
-  let nuno = data => data.interest > 1000 && data.volume > 1000 ? 4 : 3
+  let nuno = data => data.interest > 1000 && data.volume > 1000 ? 3 : 2
   let eli = (data) => data.interest > 10000 ? 5 : 4
   let misha = (data) => 4
-  let starsDecimal = average([nuno(data), eli(data), misha(data)])
+  let starsDecimal = average([nuno(data)]) //, eli(data), misha(data)])
   // Substract 1 star if probability is above 90% or below 10%
   if(data.option &&
     (data.option.probability < 0.1 || data.option.probability > 0.9)