homepage/content/blog/2022-10-10-CLRG-Results-Ana.../dataset.mjs

181 lines
5.1 KiB
JavaScript

/**
* Feis Dataset Importer
*/
import * as FeisWorx from "./feisworx.mjs"
import * as FeisResults from "./feisresults.mjs"
/**
* @typedef {import("./types.mjs").Results} Results
* @typedef {import("./types.mjs").Result} Result
* @typedef {import("./types.mjs").Round} Round
* @typedef {import("./types.mjs").Adjudication} Adjudication
* @typedef {Array.<Array.<String>>} RawData
*/
/**
* Creates a new element and appends it to parent
*
* @param {Element} parent Element to append to
* @param {String} type Type of element to create
* @param {Object} [dataset] Data fields to set
* @returns {Element}
*/
function newElement(parent, type, dataset={}) {
let child = parent.appendChild(document.createElement(type))
for (let k in dataset) {
child.dataset[k] = dataset[k]
}
return child
}
/**
* Load a file and parse it into Results.
*
* @param {URL|String} url Location of file to load
* @returns {Results} Parsed results
*/
async function loadData(url) {
let resp = await fetch(url)
let contentType = resp.headers.get("Content-Type")
if (! contentType.includes("/xml")) {
console.error(`Cannot load data with content-type ${contentType}`)
return
}
let text = await resp.text()
let doc = new DOMParser().parseFromString(text, "text/xml")
let rawData = parseXMLDocument(doc)
return parseRawData(rawData)
}
/**
* Parse an XML document of feis results into a 2D array of strings
*
* @param {Document} doc XML Document
* @returns {RawData} Raw data
*/
function parseXMLDocument(doc) {
let table = doc.querySelector("Table")
let rawData = []
for (let dataRow of table.children) {
if (! ["tr"].includes(dataRow.tagName.toLowerCase())) {
console.warn(`Warning: unexpected XML tag ${dataRow.tagName}, expecting tr`)
continue
}
let row = []
for (let dataCell of dataRow.children) {
if (! ["th", "td"].includes(dataCell.tagName.toLowerCase())) {
console.warn(`Warning: unexpected XML tag ${dataRow.tagName}, expecting th/td`)
continue
}
row.push(dataCell.textContent)
}
rawData.push(row)
}
return rawData
}
/**
* Parse raw data into a list of adjudicators and results
*
* @param {RawData} rawData Raw data
* @returns {Results} Parsed Results
*/
function parseRawData(rawData) {
let firstRow = rawData[0]
if (firstRow[0].trim().toLowerCase() == "place awd pts") {
return FeisWorx.parse(rawData)
}
if (firstRow[firstRow.length-1].trim().toLowerCase() == "total ip *") {
return FeisResults.parse(rawData)
}
console.error("First row doesn't resemble anything I can cope with", firstRow)
}
/**
*
* Fills a table element with some results
*
* @param {Element} table Table to fill in
* @param {Results} results Results to fill with
*/
function fillTable(table, results) {
let head = newElement(table, "thead")
let row0 = newElement(head, "tr")
let row1 = newElement(head, "tr")
let row2 = newElement(head, "tr")
newElement(row0, "th").colSpan = 2
newElement(row1, "th").colSpan = 2
newElement(row2, "th").textContent = "Name"
newElement(row2, "th").textContent = "Rank"
let roundNumber = 0
for (let round of results[0].rounds) {
let roundCell = newElement(row0, "th")
roundCell.textContent = `Round ${++roundNumber}`
roundCell.colSpan = 3*round.length
for (let adjudication of round) {
let adjudicator = adjudication.adjudicator
let cell = newElement(row1, "th")
cell.textContent = adjudicator
cell.colSpan = 3
newElement(row2, "th").textContent = "Raw"
newElement(row2, "th").textContent = "Placing"
newElement(row2, "th").textContent = "Points"
}
}
let body = newElement(table, "tbody")
for (let result of results) {
let row = newElement(body, "tr")
newElement(row, "th").textContent = result.name
newElement(row, "th").textContent = result.overallRank
let i = 0
for (let round of result.rounds) {
let first = true
for (let adjudication of round) {
let raw = newElement(row, "td")
raw.textContent = adjudication.raw
raw.classList.add("new-adjudication")
if (first) {
raw.classList.add("new-round")
first = false
}
newElement(row, "td").textContent = adjudication.placing
newElement(row, "td").textContent = adjudication.points
i++
}
}
}
}
async function init() {
for (let div of document.querySelectorAll(".clrg-dataset")) {
let results = await loadData(div.dataset.url)
let table = newElement(div, "table")
fillTable(table, results)
}
}
if (document.readyState === "loading") {
document.addEventListener("DOMContentLoaded", init)
} else {
init()
}
export {
loadData,
parseXMLDocument,
parseRawData,
}