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Report: Subscriber Task Histories (#10439)
* WIP(report): subscriber task histories * fix(report): old object ref, return promise, pause/resume * fix(report): handle 0 Habits 0 Dailies Also add data for master total of history entries
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database_reports/20180607_subscriber_histories.js
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100
database_reports/20180607_subscriber_histories.js
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import max from 'lodash/max';
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import mean from 'lodash/mean';
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import monk from 'monk';
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import round from 'lodash/round';
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import sum from 'lodash/sum';
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/*
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* Output data on subscribers' task histories, formatted for CSV.
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* User ID,Count of Dailies,Count of Habits,Total History Size,Max History Size,Mean History Size,Median History Size
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*/
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const connectionString = 'mongodb://localhost:27017/habitrpg?auto_reconnect=true'; // FOR TEST DATABASE
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let dbUsers = monk(connectionString).get('users', { castIds: false });
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let dbTasks = monk(connectionString).get('tasks', { castIds: false });
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function usersReport () {
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let allHistoryLengths = [];
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console.info('User ID,Count of Dailies,Count of Habits,Total History Size,Max History Size,Mean History Size,Median History Size');
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dbUsers.find(
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{
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$and:
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[
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{'purchased.plan.planId': {$ne:null}},
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{'purchased.plan.planId': {$ne:''}},
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],
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$or:
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[
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{'purchased.plan.dateTerminated': null},
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{'purchased.plan.dateTerminated': ''},
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{'purchased.plan.dateTerminated': {$gt:new Date()}},
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],
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},
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{
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fields: {_id: 1},
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}
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).each((user, {close, pause, resume}) => {
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let historyLengths = [];
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let habitCount = 0;
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let dailyCount = 0;
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pause();
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return dbTasks.find(
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{
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userId: user._id,
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$or:
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[
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{type: 'habit'},
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{type: 'daily'},
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],
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},
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{
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fields: {
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type: 1,
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history: 1,
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},
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}
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).each((task) => {
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if (task.type === 'habit') {
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habitCount++;
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}
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if (task.type === 'daily') {
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dailyCount++;
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}
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if (task.history.length > 0) {
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allHistoryLengths.push(task.history.length);
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historyLengths.push(task.history.length);
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}
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}).then(() => {
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const totalHistory = sum(historyLengths);
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const maxHistory = historyLengths.length > 0 ? max(historyLengths) : 0;
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const meanHistory = historyLengths.length > 0 ? round(mean(historyLengths)) : 0;
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const medianHistory = historyLengths.length > 0 ? median(historyLengths) : 0;
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console.info(`${user._id},${dailyCount},${habitCount},${totalHistory},${maxHistory},${meanHistory},${medianHistory}`);
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resume();
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});
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}).then(() => {
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console.info(`Total Subscriber History Entries: ${sum(allHistoryLengths)}`);
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console.info(`Largest History Size: ${max(allHistoryLengths)}`);
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console.info(`Mean History Size: ${round(mean(allHistoryLengths))}`);
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console.info(`Median History Size: ${median(allHistoryLengths)}`);
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return process.exit(0);
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});
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}
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function median(values) { // https://gist.github.com/caseyjustus/1166258
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values.sort( function(a,b) {return a - b;} );
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var half = Math.floor(values.length/2);
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if (values.length % 2) {
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return values[half];
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}
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else {
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return (values[half-1] + values[half]) / 2.0;
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}
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}
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module.exports = usersReport;
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