quantified.uncertainty/metaforecast
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

feat: Rework INFER fetcher using the json embedded in its html

Browse Source
This commit is contained in:
NunoSempere 2022-04-08 11:14:43 -04:00
parent 63219d429d
commit 7aa44746bf
1 changed files with 45 additions and 84 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

125
src/backend/platforms/infer.ts
View File

@ -17,6 +17,7 @@ String.prototype.replaceAll = function replaceAll(search, replace) {
const DEBUG_MODE: "on" | "off" = "off"; // "off"
const SLEEP_TIME_RANDOM = 7000; // miliseconds
const SLEEP_TIME_EXTRA = 2000;
/* Support functions */
async function fetchPage(page, cookie) {
@ -52,94 +53,50 @@ async function fetchStats(questionUrl, cookie) {
if (response.includes("Sign up or sign in to forecast")) {
throw Error("Not logged in");
}
// Is binary?
let isbinary = response.includes("binary?":true");
// console.log(`is binary? ${isbinary}`)
// Init
let options = [];
if (isbinary) {
// Crowd percentage
// Parse the embedded json
let htmlElements = response.split("\n");
// DEBUG_MODE == "on" ? htmlLines.forEach(line => console.log(line)) : id()
let h3Element = htmlElements.filter((str) => str.includes("<h3>"))[0];
// DEBUG_MODE == "on" ? console.log(h5elements) : id()
let crowdpercentage = h3Element.split(">")[1].split("<")[0];
let probability = Number(crowdpercentage.replace("%", "")) / 100;
options.push(
{
name: "Yes",
probability: probability,
let jsonLines = htmlElements.filter((element) =>
element.includes("data-react-props")
);
let embeddedJsons = jsonLines.map((jsonLine, i) => {
let innerJSONasHTML = jsonLine.split('data-react-props="')[1].split('"')[0];
let json = JSON.parse(innerJSONasHTML.replaceAll("&quot;", '"'));
return json;
});
let firstEmbeddedJson = embeddedJsons[0];
let title = firstEmbeddedJson.question.name;
let description = firstEmbeddedJson.question.description;
let comments_count = firstEmbeddedJson.question.comments_count;
let numforecasters = firstEmbeddedJson.question.predictors_count;
let numforecasts = firstEmbeddedJson.question.prediction_sets_count;
let forecastType = firstEmbeddedJson.question.type;
if (
forecastType.includes("Binary") ||
forecastType.includes("NonExclusiveOpinionPoolQuestion") ||
forecastType.includes("Forecast::Question") ||
!forecastType.includes("Forecast::MultiTimePeriodQuestion")
) {
options = firstEmbeddedJson.question.answers.map((answer) => ({
name: answer.name,
probability: answer.normalized_probability,
type: "PROBABILITY",
},
{
}));
if (options.length == 1 && options[0].name == "Yes") {
let probabilityNo =
options[0].probability > 1
? 1 - options[0].probability / 100
: 1 - options[0].probability;
let optionNo = {
name: "No",
probability: +(1 - probability).toFixed(2), // avoids floating point shenanigans
probability: probabilityNo,
type: "PROBABILITY",
}
);
} else {
try {
let optionsBody = response.split("tbody")[1]; // Previously [1], then previously [3] but they added a new table.
// console.log(optionsBody)
let optionsHtmlElement = "<table" + optionsBody + "table>";
let tablesAsJson = Tabletojson.convert(optionsHtmlElement);
let firstTable = tablesAsJson[0];
options = firstTable.map((element) => ({
name: element["0"],
probability: Number(element["1"].replace("%", "")) / 100,
type: "PROBABILITY",
}));
} catch (error) {
let optionsBody = response.split("tbody")[3]; // Catch if the error is related to table position
let optionsHtmlElement = "<table" + optionsBody + "table>";
let tablesAsJson = Tabletojson.convert(optionsHtmlElement);
let firstTable = tablesAsJson[0];
if (firstTable) {
options = firstTable.map((element) => ({
name: element["0"],
probability: Number(element["1"].replace("%", "")) / 100,
type: "PROBABILITY",
}));
} else {
// New type of question, tricky to parse the options
// Just leave options = [] for now.
// https://www.cset-foretell.com/blog/rolling-question-formats
};
options.push(optionNo);
}
}
}
// Description
let descriptionraw = response.split(`<meta name="description" content="`)[1];
let descriptionprocessed1 = descriptionraw.split(`">`)[0];
let descriptionprocessed2 = descriptionprocessed1.replace(">", "");
let descriptionprocessed3 = descriptionprocessed2.replace(
"To suggest a change or clarification to this question, please select Request Clarification from the green gear-shaped dropdown button to the right of the question.",
``
);
// console.log(descriptionprocessed3)
let descriptionprocessed4 = descriptionprocessed3.replaceAll(
"\r\n\r\n",
"\n"
);
let descriptionprocessed5 = descriptionprocessed4.replaceAll("\n\n", "\n");
let descriptionprocessed6 = descriptionprocessed5.replaceAll("&quot;", `"`);
let descriptionprocessed7 = descriptionprocessed6.replaceAll("&#39;", "'");
let descriptionprocessed8 = toMarkdown(descriptionprocessed7);
let description = descriptionprocessed8;
// Number of forecasts
//console.log(response)
//console.log(response.split("prediction_sets_count&quot;:")[1])
let numforecasts = response
.split("prediction_sets_count&quot;:")[1]
.split(",")[0];
// console.log(numforecasts)
// Number of predictors
let numforecasters = response
.split("predictors_count&quot;:")[1]
.split(",")[0];
// console.log(numpredictors)
let result = {
description: description,
options: options,
@ -147,10 +104,11 @@ async function fetchStats(questionUrl, cookie) {
qualityindicators: {
numforecasts: Number(numforecasts),
numforecasters: Number(numforecasters),
comments_count: Number(comments_count),
stars: calculateStars(platformName, { numforecasts }),
},
};
// console.log(JSON.stringify(result, null, 4));
return result;
}
@ -218,10 +176,13 @@ async function infer_inner(cookie: string) {
let question: Forecast = {
id: id,
title: title,
description: moreinfo.description,
url: url,
platform: platformName,
options: moreinfo.options,
...moreinfo,
};
console.log(JSON.stringify(question, null, 4));
if (
i % 30 == 0 &&
!(process.env.DEBUG_MODE == "on" || DEBUG_MODE == "on")