parkrun Wilson index display

The "Wilson index" in parkrun is the highest consecutive event number completed, starting from #1. This script calculates and displays a parkrunner's Wilson index on their results page.

As of 2025-08-11. See the latest version.

You will need to install an extension such as Tampermonkey, Greasemonkey or Violentmonkey to install this script.

You will need to install an extension such as Tampermonkey or Violentmonkey to install this script.

You will need to install an extension such as Tampermonkey or Violentmonkey to install this script.

You will need to install an extension such as Tampermonkey or Userscripts to install this script.

You will need to install an extension such as Tampermonkey to install this script.

You will need to install a user script manager extension to install this script.

(I already have a user script manager, let me install it!)

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

(I already have a user style manager, let me install it!)

// ==UserScript==
// @name         parkrun Wilson index display
// @description  The "Wilson index" in parkrun is the highest consecutive event number completed, starting from #1. This script calculates and displays a parkrunner's Wilson index on their results page.
// @author       Pete Johns (@johnsyweb)
// @grant        none
// @homepage     https://github.com/johnsyweb/tampermonkey-parkrun
// @icon         https://www.google.com/s2/favicons?sz=64&domain=parkrun.com.au
// @license      MIT
// @match        *://www.parkrun.ca/parkrunner/*/all/
// @match        *://www.parkrun.co.at/parkrunner/*/all/
// @match        *://www.parkrun.co.nl/parkrunner/*/all/
// @match        *://www.parkrun.co.nz/parkrunner/*/all/
// @match        *://www.parkrun.co.za/parkrunner/*/all/
// @match        *://www.parkrun.com.au/parkrunner/*/all/
// @match        *://www.parkrun.com.de/parkrunner/*/all/
// @match        *://www.parkrun.dk/parkrunner/*/all/
// @match        *://www.parkrun.fi/parkrunner/*/all/
// @match        *://www.parkrun.fr/parkrunner/*/all/
// @match        *://www.parkrun.ie/parkrunner/*/all/
// @match        *://www.parkrun.it/parkrunner/*/all/
// @match        *://www.parkrun.jp/parkrunner/*/all/
// @match        *://www.parkrun.lt/parkrunner/*/all/
// @match        *://www.parkrun.my/parkrunner/*/all/
// @match        *://www.parkrun.no/parkrunner/*/all/
// @match        *://www.parkrun.org.uk/parkrunner/*/all/
// @match        *://www.parkrun.pl/parkrunner/*/all/
// @match        *://www.parkrun.se/parkrunner/*/all/
// @match        *://www.parkrun.sg/parkrunner/*/all/
// @match        *://www.parkrun.us/parkrunner/*/all/
// @namespace    http://tampermonkey.net/
// @require      https://cdn.jsdelivr.net/npm/[email protected]/dist/chart.umd.min.js
// @run-at       document-end
// @supportURL   https://github.com/johnsyweb/tampermonkey-parkrun/issues/
// @tag          parkrun
// @version      2025-08-11 01:47 18:37 18:36 18:35 18:33 18:29 01:53 02:17 01:28 02:13 19:55 10:42
// ==/UserScript==

(function () {
  'use strict';

  /**
   * Finds the last results table with a specified number of columns
   * @param {Document} document - The document object to search in
   * @param {number} [columnCount=7] - Required number of columns
   * @returns {HTMLTableElement|null} The matching table or null if not found
   */
  function findResultsTable(document, columnCount = 7) {
    const tables = document.querySelectorAll('[id="results"]');
    let matchingTable = null;
    for (const table of tables) {
      const firstRow = table.querySelector('tr');

      if (firstRow) {
        const columns = firstRow.querySelectorAll('th, td').length;
        if (columns === columnCount) {
          matchingTable = table;
          break;
        }
      }
    }

    return matchingTable;
  }

  function extractEventDetails(table) {
    const rows = Array.from(table.querySelectorAll('tbody > tr'));
    return rows.reverse().map((row) => {
      const eventName = row.querySelector('td:nth-child(1)').textContent.trim();
      const eventDate = row.querySelector('td:nth-child(2)').textContent.trim();
      const eventNumber = row.querySelector('td:nth-child(3)').textContent.trim();
      return {
        eventName,
        eventDate,
        eventNumber: parseInt(eventNumber, 10),
      };
    });
  }

  /**
   * Calculates the Wilson index, which represents the highest consecutive number of parkrun events
   * completed starting from 1. It iterates through the sorted event numbers and increments the index
   * as long as the next event number matches the expected value.
   *
   * @param {Array} events - An array of event objects containing event numbers.
   * @returns {number} The calculated Wilson index.
   */
  function calculateWilsonIndex(events) {
    let wilsonIndex = 0;

    const eventNumbers = events.map((e) => e.eventNumber).sort((a, b) => a - b);

    for (const eventNumber of eventNumbers) {
      if (eventNumber >= wilsonIndex + 2) {
        break;
      } else if (eventNumber === wilsonIndex + 1) {
        wilsonIndex++;
      }
    }
    return wilsonIndex;
  }

  function calculateWilsonIndexOverTime(events) {
    const wilsonIndices = [];

    for (let i = 0; i < events.length; i++) {
      const subset = events.slice(0, i + 1);
      const parkruns = i + 1;
      const event = `${events[i].eventName} # ${events[i].eventNumber} on ${events[i].eventDate}`;
      const wilsonIndex = calculateWilsonIndex(subset);
      wilsonIndices.push({ parkruns, event, wilsonIndex });
    }

    return wilsonIndices;
  }

  function createWilsonGraph(indices, container, athleteInfo) {
    const canvas = document.createElement('canvas');
    canvas.style.width = '100%';
    canvas.style.height = '300px';
    container.appendChild(canvas);

    const ctx = canvas.getContext('2d');
    // eslint-disable-next-line no-undef
    const chart = new Chart(ctx, {
      type: 'line',
      data: {
        labels: indices.map((i) => i.parkruns),
        datasets: [
          {
            label: athleteInfo,
            data: indices.map((i) => ({
              x: i.parkruns,
              y: i.wilsonIndex,
              event: i.event,
            })),
            borderColor: getDatasetColor(0),
            backgroundColor: '#2b223d',
          },
        ],
      },
      options: {
        responsive: true,
        scales: {
          y: {
            beginAtZero: true,
            title: {
              display: true,
              text: 'Wilson Index',
            },
            suggestedMax: Math.ceil(Math.max(...indices.map((i) => i.wilsonIndex)) * 1.1), // Add 10% padding
          },
          x: {
            title: {
              display: true,
              text: 'parkruns',
            },
            min: 0,
            suggestedMax: Math.ceil(indices.length * 1.1), // Initial padding
          },
        },
        plugins: {
          title: {
            display: true,
            text: 'Wilson Index Progress',
          },
          tooltip: {
            callbacks: {
              label: function (context) {
                const point = context.raw;
                return [`Wilson Index: ${point.y}`, `Event: ${point.event}`];
              },
            },
          },
        },
      },
    });

    return chart;
  }

  /**
   * Fetches text content from a URI with caching support
   * @param {string} uri - The URI to fetch from
   * @param {string} cacheKey - The key to use for caching
   * @param {number} [cacheTtlMs=3600000] - Cache TTL in milliseconds (default: 1 hour)
   * @returns {Promise<string>} - The fetched text content
   */
  async function fetchWithCache(uri, cacheKey, cacheTtlMs = 60 * 60 * 1000) {
    const cached = sessionStorage.getItem(cacheKey);

    if (cached) {
      const { data, timestamp } = JSON.parse(cached);
      const isFresh = Date.now() - timestamp < cacheTtlMs;
      if (isFresh) {
        return data;
      }
    }
    return fetch(uri)
      .then((response) => {
        if (!response.ok) {
          throw new Error(`Failed to fetch: ${response.status} ${response.statusText}`);
        }
        return response.text();
      })
      .then((text) => {
        sessionStorage.setItem(
          cacheKey,
          JSON.stringify({
            data: text,
            timestamp: Date.now(),
          })
        );
        return text;
      })
      .catch((error) => {
        console.error(`Error fetching ${uri}:`, error);
        if (cached) {
          console.warn('Using stale cached data after fetch failure');
          return JSON.parse(cached).data;
        }
        throw error;
      });
  }

  async function fetchFriendResults(athleteId) {
    const cacheKey = `parkrunner_${athleteId}_all`;
    const uri = `${window.location.origin}/parkrunner/${athleteId}/all/`;
    const text = await fetchWithCache(uri, cacheKey);
    const parser = new DOMParser();
    const doc = parser.parseFromString(text, 'text/html');
    const table = findResultsTable(doc);
    if (!table) {
      console.error('Friend results table not found');
      return null;
    }
    const h2Element = doc.querySelector('h2');
    if (!h2Element) {
      console.error('Friend H2 element not found');
      return null;
    }
    const friendInfo = extractAthleteInfo(h2Element);
    if (!friendInfo) {
      console.error('Could not extract friend athlete info');
      return null;
    }
    const friendEvents = extractEventDetails(table);
    const friendIndices = calculateWilsonIndexOverTime(friendEvents);
    return { friendIndices, friendInfo };
  }

  function createComparisonUI(container, onCompare) {
    const form = document.createElement('form');
    form.style.marginBottom = '20px';
    form.style.textAlign = 'center';

    const input = document.createElement('input');
    input.style.width = '200px';
    input.type = 'text';
    input.placeholder = "Enter friend's athlete ID (e.g. A507)";
    input.style.padding = '5px';
    input.style.marginRight = '10px';
    input.style.borderRadius = '3px';
    input.style.border = '1px solid #ffa300';
    input.style.backgroundColor = '#2b223d';
    input.style.color = '#ffa300';

    const button = document.createElement('button');
    button.textContent = 'Compare';
    button.style.padding = '5px 10px';
    button.style.backgroundColor = '#ffa300';
    button.style.color = '#2b223d';
    button.style.border = 'none';
    button.style.borderRadius = '3px';
    button.style.cursor = 'pointer';

    form.appendChild(input);
    form.appendChild(button);

    form.addEventListener('submit', async (e) => {
      e.preventDefault();
      const athleteId = input.value.trim().replace(/^[aA]/, '');
      if (!athleteId) return;

      button.disabled = true;
      button.textContent = 'Loading...';

      try {
        const { friendIndices, friendInfo } = await fetchFriendResults(athleteId);
        onCompare(friendIndices, friendInfo);
      } catch (error) {
        console.error("Failed to fetch friend's results:", error);
        alert("Failed to fetch friend's results. Please check the ID and try again.");
      } finally {
        button.disabled = false;
        button.textContent = 'Compare';
      }
    });

    container.insertBefore(form, container.firstChild);
  }

  function updateChart(chart, friendIndices, friendInfo) {
    const datasetIndex = chart.data.datasets.length;
    const friendDataset = {
      label: friendInfo,
      data: friendIndices.map((i) => ({
        x: i.parkruns,
        y: i.wilsonIndex,
        event: i.event,
      })),
      borderColor: getDatasetColor(datasetIndex),
      backgroundColor: '#2b223d',
    };

    chart.data.datasets.push(friendDataset);
    chart.update();

    const maxParkruns = Math.max(
      ...chart.data.datasets.flatMap((dataset) => dataset.data.map((d) => d.x))
    );
    const maxWilsonIndex = Math.max(
      ...chart.data.datasets.flatMap((dataset) => dataset.data.map((d) => d.y))
    );

    chart.options.scales.x.suggestedMax = Math.ceil(maxParkruns * 1.1);
    chart.options.scales.y.suggestedMax = Math.ceil(maxWilsonIndex * 1.1);

    chart.update();
  }

  function extractAthleteInfo(h2Element) {
    return h2Element.textContent.trim();
  }

  function getDatasetColor(index) {
    const colors = [
      '#FFA300',
      '#90EE90',
      '#FF69B4',
      '#4169E1',
      '#FFD700',
      '#9370DB',
      '#20B2AA',
      '#FF6347',
      '#DDA0DD',
      '#00CED1',
    ];
    return colors[index % colors.length];
  }

  function displayWilsonIndex() {
    const table = findResultsTable(document);
    if (!table) {
      console.error('Results table not found');
      return;
    }

    const h2Element = document.querySelector('h2');
    if (!h2Element) {
      console.error('H2 element not found');
      return;
    }

    const athleteInfo = extractAthleteInfo(h2Element);
    if (!athleteInfo) {
      console.error('Could not extract athlete info');
      return;
    }

    const eventDetails = extractEventDetails(table);
    const wilsonIndex = calculateWilsonIndex(eventDetails);
    const wilsonIndices = calculateWilsonIndexOverTime(eventDetails);

    if (h2Element) {
      const container = document.createElement('div');
      container.style.marginTop = '20px';
      container.style.backgroundColor = '#2b223d';
      container.style.padding = '20px';
      container.style.borderRadius = '5px';

      const wilsonElement = document.createElement('div');
      wilsonElement.textContent = `Wilson index: ${wilsonIndex}`;
      wilsonElement.style.fontSize = '1.5em';
      wilsonElement.style.color = '#ffa300';
      wilsonElement.style.fontWeight = 'bold';
      wilsonElement.style.marginBottom = '20px';
      wilsonElement.style.textAlign = 'center';
      container.appendChild(wilsonElement);

      const chartInstance = createWilsonGraph(wilsonIndices, container, athleteInfo);

      createComparisonUI(container, async (friendIndices, friendInfo) => {
        updateChart(chartInstance, friendIndices, friendInfo);
      });

      h2Element.parentNode.insertBefore(container, h2Element.nextSibling);
    }
  }

  if (typeof module !== 'undefined' && module.exports) {
    module.exports = {
      calculateWilsonIndex,
      calculateWilsonIndexOverTime,
      extractEventDetails,
      findResultsTable,
    };
  } else {
    displayWilsonIndex();
  }
})();