X-Git-Url: https://git.arvados.org/arvados.git/blobdiff_plain/07ad3d1e604624893a945d08666046cc69568dab..6346a7c4c0cb5d7e8c5f01392b6cc64d329b68ec:/apps/workbench/app/assets/javascripts/event_log.js diff --git a/apps/workbench/app/assets/javascripts/event_log.js b/apps/workbench/app/assets/javascripts/event_log.js index d94c001f22..e576ba97a3 100644 --- a/apps/workbench/app/assets/javascripts/event_log.js +++ b/apps/workbench/app/assets/javascripts/event_log.js @@ -1,3 +1,7 @@ +// Copyright (C) The Arvados Authors. All rights reserved. +// +// SPDX-License-Identifier: AGPL-3.0 + /* * This js establishes a websockets connection with the API Server. */ @@ -56,208 +60,3 @@ $(document).on('ajax:complete ready', function() { subscribeToEventLog(); } }); - -/* Assumes existence of: - window.jobGraphData = []; - window.jobGraphSeries = []; - window.jobGraphMaxima = {}; - - TODO: make this more robust: many type conversions etc problems could theoretically go wrong in here - */ -function processLogLineForChart( logLine ) { - var recreate = false; - var rescale = false; - var match = logLine.match(/(\S+) (\S+) (\S+) (\S+) stderr crunchstat: (\S+) (.*) -- interval (.*)/); - if( match ) { - // the timestamp comes first - var timestamp = match[1].replace('_','T'); - // for the series use the first word after 'crunchstat:' - var series = match[5]; - // and append the task number (the 4th term) - series += '-' + match[4] - if( $.inArray( series, jobGraphSeries) < 0 ) { - jobGraphSeries.push(series); - jobGraphMaxima[series] = null; - recreate = true; - } - var intervalData = match[7].trim().split(' '); - var dt = parseFloat(intervalData[0]); - var dsum = 0.0; - for(var i=2; i < intervalData.length; i += 2 ) { - dsum += parseFloat(intervalData[i]); - } - var datum = dsum/dt; - if( datum !== 0 && ( jobGraphMaxima[series] === null || jobGraphMaxima[series] < datum ) ) { - if( isJobSeriesRescalable(series) ) { - // use old maximum to get a scale conversion - var scaleConversion = jobGraphMaxima[series]/datum; - // set new maximum and rescale the series - jobGraphMaxima[series] = datum; - rescaleJobGraphSeries( series, scaleConversion ); - } - // and special calculation for cpus - if( /^cpu-/.test(series) ) { - // divide the stat by the number of cpus - var cpuCountMatch = match[6].match(/(\d+) cpus/); - if( cpuCountMatch ) { - datum = datum / cpuCountMatch[1]; - } - } - } - // scale - var scaledDatum = null; - if( isJobSeriesRescalable(series) && jobGraphMaxima[series] !== null && jobGraphMaxima[series] !== 0 ) { - scaledDatum = datum/jobGraphMaxima[series] - } else { - scaledDatum = datum; - } - // identify x axis point, searching from the end of the array (most recent) - var found = false; - for( var i = jobGraphData.length - 1; i >= 0; i-- ) { - if( jobGraphData[i]['t'] === timestamp ) { - found = true; - jobGraphData[i][series] = scaledDatum; - jobGraphData[i]['raw-'+series] = match[7]; - break; - } else if( jobGraphData[i]['t'] < timestamp ) { - // we've gone far enough back in time and this data is supposed to be sorted - break; - } - } - // index counter from previous loop will have gone one too far, so add one - var insertAt = i+1; - if(!found) { - // create a new x point for this previously unrecorded timestamp - var entry = { 't': timestamp }; - entry[series] = scaledDatum; - entry['raw-'+series] = match[7]; - jobGraphData.splice( insertAt, 0, entry ); - var shifted = []; - // now let's see about "scrolling" the graph, dropping entries that are too old (>10 minutes) - while( jobGraphData.length > 0 - && (Date.parse( jobGraphData[0]['t'] ).valueOf() + 10*60000 < Date.parse( jobGraphData[jobGraphData.length-1]['t'] ).valueOf()) ) { - shifted.push(jobGraphData.shift()); - } - if( shifted.length > 0 ) { - // from those that we dropped, are any of them maxima? if so we need to rescale - jobGraphSeries.forEach( function(series) { - // test that every shifted entry in this series was either not a number (in which case we don't care) - // or else approximately (to 2 decimal places) smaller than the scaled maximum (i.e. 1), - // because otherwise we just scrolled off something that was a maximum point - // and so we need to recalculate a new maximum point by looking at all remaining displayed points in the series - if( isJobSeriesRescalable(series) && jobGraphMaxima[series] !== null - && !shifted.every( function(e) { return( !$.isNumeric(e[series]) || e[series].toFixed(2) < 1.0 ) } ) ) { - // check the remaining displayed points and find the new (scaled) maximum - var seriesMax = null; - jobGraphData.forEach( function(entry) { - if( $.isNumeric(entry[series]) && (seriesMax === null || entry[series] > seriesMax)) { - seriesMax = entry[series]; - } - }); - if( seriesMax !== null && seriesMax !== 0 ) { - // set new actual maximum using the new maximum as the conversion conversion and rescale the series - jobGraphMaxima[series] *= seriesMax; - var scaleConversion = 1/seriesMax; - rescaleJobGraphSeries( series, scaleConversion ); - } - else { - // we no longer have any data points displaying for this series - jobGraphMaxima[series] = null; - } - } - }); - } - } - } - return recreate; -} - -function createJobGraph(elementName) { - delete jobGraph; - window.jobGraph = Morris.Line( { - element: elementName, - data: jobGraphData, - ymax: 1.0, - yLabelFormat: function () { return ''; }, - xkey: 't', - ykeys: jobGraphSeries, - labels: jobGraphSeries, - hideHover: 'auto', - hoverCallback: function(index, options, content) { - var s = "
"; - s += options.data[index][options.xkey]; - s += "
"; - for( i = 0; i < options.ykeys.length; i++ ) { - var series = options.ykeys[i]; - var datum = options.data[index][series]; - s += "
"; - s += options.labels[i]; - s += ": "; - if ( !(typeof datum === 'undefined') ) { - if( isJobSeriesRescalable( series ) ) { - datum *= jobGraphMaxima[series]; - } - if( parseFloat(datum) !== 0 ) { - if( /^cpu-/.test(series) ){ - datum = $.number(datum * 100, 1) + '%'; - } else if( datum < 10 ) { - datum = $.number(datum, 2); - } else { - datum = $.number(datum); - } - datum += ' (' + options.data[index]['raw-'+series] + ')'; - } - s += datum; - } else { - s += '-'; - } - s += "
"; - } - return s; - } - }); -} - -function rescaleJobGraphSeries( series, scaleConversion ) { - if( isJobSeriesRescalable() ) { - $.each( jobGraphData, function( i, entry ) { - if( entry[series] !== null && entry[series] !== undefined ) { - entry[series] *= scaleConversion; - } - }); - } -} - -// that's right - we never do this for the 'cpu' series, which will always be between 0 and 1 anyway -function isJobSeriesRescalable( series ) { - return !/^cpu-/.test(series); -} - -$(document).on('arv-log-event', '#log_graph_div', function(event, eventData) { - if( eventData.properties.text ) { - var causeRecreate = processLogLineForChart( eventData.properties.text ); - if( causeRecreate && !window.recreate ) { - window.recreate = true; - } else { - window.redraw = true; - } - } -} ); - -$(document).on('ready', function(){ - window.recreate = false; - window.redraw = false; - setInterval( function() { - if( recreate ) { - window.recreate = false; - // series have changed, draw entirely new graph - $('#log_graph_div').html(''); - createJobGraph('log_graph_div'); - } else if( redraw ) { - window.redraw = false; - jobGraph.setData( jobGraphData ); - } - }, 5000); -});