metaforecast/src/platforms/wildeford-fetch.js

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/* Imports */
import fs from 'fs'
// import axios from "axios"
import { GoogleSpreadsheet } from "google-spreadsheet"
import {getCookie, applyIfCookieExists} from "../utils/getCookies.js"
import toMarkdown from "../utils/toMarkdown.js"
import { calculateStars } from "../utils/stars.js"
import {upsert} from "../utils/mongo-wrapper.js"
/* Definitions */
const SHEET_ID = "1xcgYF7Q0D95TPHLLSgwhWBHFrWZUGJn7yTyAhDR4vi0" // spreadsheet key is the long id in the sheets URL
const endpoint = `https://docs.google.com/spreadsheets/d/${SHEET_ID}/edit#gid=0`
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// https://docs.google.com/spreadsheets/d/1xcgYF7Q0D95TPHLLSgwhWBHFrWZUGJn7yTyAhDR4vi0/edit#gid=0
/* Support functions */
const formatRow = row => {
let colNames = ["Prediction Date", "Prediction", "Odds", "Actual", "Resolution Date", "Prediction Right?", "Brier Score", "Notes"]
let result = ({})
row.forEach((col,i) => {
result[colNames[i]] = col
})
return result
}
async function fetchGoogleDoc(google_api_key){
// https://gist.github.com/micalevisk/9bc831bd4b3e5a3f62b9810330129c59
let results = []
const doc = new GoogleSpreadsheet(SHEET_ID)
doc.useApiKey(google_api_key)
await doc.loadInfo() // loads document properties and worksheets
console.log('>>', doc.title)
const sheet = doc.sheetsByIndex[0]
const rows = await sheet.getRows({ offset:0, })
console.log('# ' +
rows[0]._sheet.headerValues.join(',')
)
let isEnd = false;
for (let i in rows) {
let data = rows[i]._rawData
if(data.length == 0) isEnd = true;
if(!isEnd){
let result = ({...formatRow(data), "url": endpoint + `&range=A${(Number(i) + 2)}`})
// +2: +1 for the header row, +1 for starting at 1 and not at 0.
// console.log(result)
results.push(result)
// console.log(rows[i])
// console.log(rows[i]._rawData)
// console.log(rows[i]["Prediction"])
}
// console.log(row._rawData.join(','))
// console.log(row._rawData.join(','))
}
// console.log(results)
return(results)
}
async function processPredictions(predictions){
let currentPredictions = predictions.filter(prediction => prediction["Actual"] == "Unknown" )
let results = currentPredictions.map(prediction => {
let probability = Number(prediction["Odds"].replace("%", ""))/100
let options = [
{
"name": "Yes",
"probability": probability,
"type": "PROBABILITY"
},
{
"name": "No",
"probability": 1 - probability,
"type": "PROBABILITY"
}
]
let result = ({
"title": prediction["Prediction"],
"url": prediction["url"],
"platform": "Peter Wildeford",
"description": prediction["Notes"] || "",
"options": options,
"timestamp": new Date(Date.parse(prediction["Prediction Date"] + "Z")).toISOString(),
"qualityindicators": {
"stars": calculateStars("Peter Wildeford"),
}
})
return result
})
results = results.map(result => ({...result, title: result.title.replace(" [update]", "")})).reverse()
let uniqueTitles = []
let uniqueResults = []
results.forEach(result => {
if(!uniqueTitles.includes(result.title)) uniqueResults.push(result)
uniqueTitles.push(result.title)
})
return(uniqueResults)
// console.log(results)
// console.log(results.map(result => result.options))
}
// processPredictions()
/* Body */
export async function wildeford_inner(google_api_key) {
let predictions = await fetchGoogleDoc(google_api_key)
let results = await processPredictions(predictions) // somehow needed
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// console.log(results.sort((a,b) => (a.title > b.title)))
// let string = JSON.stringify(results, null, 2)
// fs.writeFileSync('polyprediction-questions.json', string);
await upsert(results, "wildeford-questions")
console.log("Done")
}
//example()
export async function wildeford(){
const GOOGLE_API_KEY = process.env.GOOGLE_API_KEY || getCookie("google-api") // See: https://developers.google.com/sheets/api/guides/authorizing#APIKey
await applyIfCookieExists(GOOGLE_API_KEY, wildeford_inner)
}