metaforecast/src/platforms/example-fetch.js

/* Imports */
import fs from 'fs'
import axios from "axios"
import toMarkdown from "../utils/toMarkdown.js"
import { calculateStars } from "../utils/stars.js"
import {upsert} from "../utils/mongo-wrapper.js"

/* Definitions */
let endpoint = 'https://example.com/'

/* Support functions */

async function fetchData() {
  let response = await axios({
    url: endpoint,
    method: 'GET',
    headers: ({
      'Content-Type': 'text/html',
    }),
  })
    .then(response => response.data)
  // console.log(response)
  return response
}

async function processPredictions(predictions) {
  let results = await predictions.map(prediction => {
    let probability = prediction.probability
    let options = [
      {
        "name": "Yes",
        "probability": probability,
        "type": "PROBABILITY"
      },
      {
        "name": "No",
        "probability": 1 - probability,
        "type": "PROBABILITY"
      }
    ]
    let result = ({
      "title": prediction.title,
      "url": `https://example.com`,
      "platform": "Example",
      "description": prediction.description,
      "options": options,
      "timestamp": new Date().toISOString(),
      "qualityindicators": {
          "stars": calculateStars("Example", ({some: somex, factors: factors})),
          "other": prediction.otherx,
          "indicators": prediction.indicatorx
        }
    })
    return result
  })
  return results //resultsProcessed
}

/* Body */

export async function example() {
  let data = await fetchData()
  let results = await processPredictions(data) // somehow needed
  // console.log(results)
  // let string = JSON.stringify(results, null, 2)
  // fs.writeFileSync('polyprediction-questions.json', string);
  await upsert(results, "example-questions")
  console.log("Done")
}
//example()