From: Tom Rees Date: Fri, 17 May 2013 14:19:01 +0000 Subject: [385] Use page_heading helper function consistently X-Git-Url: https://maxious.lambdacomplex.org/git/?p=ckanext-ga-report.git&a=commitdiff&h=98bba88c9027d3198c72d70fc354c3031060e85a --- [385] Use page_heading helper function consistently --- --- a/ckanext/ga_report/command.py +++ b/ckanext/ga_report/command.py @@ -23,7 +23,7 @@ import ckan.model as model model.Session.remove() model.Session.configure(bind=model.meta.engine) - log = logging.getLogger('ckanext.ga-report') + log = logging.getLogger('ckanext.ga_report') import ga_model ga_model.init_tables() --- a/ckanext/ga_report/controller.py +++ b/ckanext/ga_report/controller.py @@ -191,25 +191,11 @@ q = model.Session.query(GA_Stat).\ filter(GA_Stat.stat_name==k).\ order_by(GA_Stat.period_name) - # Run the query on all months to gather graph data - graph = {} - for stat in q: - graph[ stat.key ] = graph.get(stat.key,{ - 'name':stat.key, - 'data': [] - }) - graph[ stat.key ]['data'].append({ - 'x':_get_unix_epoch(stat.period_name), - 'y':float(stat.value) - }) - setattr(c, v+'_graph', json.dumps( _to_rickshaw(graph.values(),percentageMode=True) )) - # Buffer the tabular data if c.month: entries = [] q = q.filter(GA_Stat.period_name==c.month).\ order_by('ga_stat.value::int desc') - d = collections.defaultdict(int) for e in q.all(): d[e.key] += int(e.value) @@ -218,6 +204,23 @@ entries.append((key,val,)) entries = sorted(entries, key=operator.itemgetter(1), reverse=True) + # Run a query on all months to gather graph data + graph_query = model.Session.query(GA_Stat).\ + filter(GA_Stat.stat_name==k).\ + order_by(GA_Stat.period_name) + graph_dict = {} + for stat in graph_query: + graph_dict[ stat.key ] = graph_dict.get(stat.key,{ + 'name':stat.key, + 'raw': {} + }) + graph_dict[ stat.key ]['raw'][stat.period_name] = float(stat.value) + stats_in_table = [x[0] for x in entries] + stats_not_in_table = set(graph_dict.keys()) - set(stats_in_table) + stats = stats_in_table + sorted(list(stats_not_in_table)) + graph = [graph_dict[x] for x in stats] + setattr(c, v+'_graph', json.dumps( _to_rickshaw(graph,percentageMode=True) )) + # Get the total for each set of values and then set the value as # a percentage of the total if k == 'Social sources': @@ -246,7 +249,7 @@ writer = csv.writer(response) writer.writerow(["Publisher Title", "Publisher Name", "Views", "Visits", "Period Name"]) - top_publishers, top_publishers_graph = _get_top_publishers(None) + top_publishers = _get_top_publishers(limit=None) for publisher,view,visit in top_publishers: writer.writerow([publisher.title.encode('utf-8'), @@ -268,7 +271,7 @@ if not c.publisher: abort(404, 'A publisher with that name could not be found') - packages = self._get_packages(c.publisher) + packages = self._get_packages(publisher=c.publisher, month=c.month) response.headers['Content-Type'] = "text/csv; charset=utf-8" response.headers['Content-Disposition'] = \ str('attachment; filename=datasets_%s_%s.csv' % (c.publisher_name, month,)) @@ -297,15 +300,16 @@ if c.month: c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month]) - c.top_publishers, graph_data = _get_top_publishers() - c.top_publishers_graph = json.dumps( _to_rickshaw(graph_data.values()) ) + c.top_publishers = _get_top_publishers() + graph_data = _get_top_publishers_graph() + c.top_publishers_graph = json.dumps( _to_rickshaw(graph_data) ) return render('ga_report/publisher/index.html') - def _get_packages(self, publisher=None, count=-1): + def _get_packages(self, publisher=None, month='', count=-1): '''Returns the datasets in order of views''' have_download_data = True - month = c.month or 'All' + month = month or 'All' if month != 'All': have_download_data = month >= DOWNLOADS_AVAILABLE_FROM @@ -382,74 +386,71 @@ entry = q.filter(GA_Url.period_name==c.month).first() c.publisher_page_views = entry.pageviews if entry else 0 - c.top_packages = self._get_packages(c.publisher, 20) + c.top_packages = self._get_packages(publisher=c.publisher, count=20, month=c.month) # Graph query - top_package_names = [ x[0].name for x in c.top_packages ] + top_packages_all_time = self._get_packages(publisher=c.publisher, count=20, month='All') + top_package_names = [ x[0].name for x in top_packages_all_time ] graph_query = model.Session.query(GA_Url,model.Package)\ .filter(model.Package.name==GA_Url.package_id)\ .filter(GA_Url.url.like('/dataset/%'))\ .filter(GA_Url.package_id.in_(top_package_names)) - graph_data = {} + all_series = {} for entry,package in graph_query: if not package: continue if entry.period_name=='All': continue - graph_data[package.id] = graph_data.get(package.id,{ + all_series[package.name] = all_series.get(package.name,{ 'name':package.title, - 'data':[] + 'raw': {} }) - graph_data[package.id]['data'].append({ - 'x':_get_unix_epoch(entry.period_name), - 'y':int(entry.pageviews), - }) - - c.graph_data = json.dumps( _to_rickshaw(graph_data.values()) ) + all_series[package.name]['raw'][entry.period_name] = int(entry.pageviews) + graph = [ all_series[series_name] for series_name in top_package_names ] + c.graph_data = json.dumps( _to_rickshaw(graph) ) return render('ga_report/publisher/read.html') def _to_rickshaw(data, percentageMode=False): if data==[]: return data - # Create a consistent x-axis - num_points = [ len(package['data']) for package in data ] - ideal_index = num_points.index( max(num_points) ) - x_axis = [ point['x'] for point in data[ideal_index]['data'] ] - for package in data: - xs = [ point['x'] for point in package['data'] ] - assert set(xs).issubset( set(x_axis) ), (xs, x_axis) - # Zero pad any missing values - for x in set(x_axis).difference(set(xs)): - package['data'].append( {'x':x, 'y':0} ) - assert len(package['data'])==len(x_axis), (len(package['data']),len(x_axis),package['data'],x_axis,set(x_axis).difference(set(xs))) - if percentageMode: - # Transform data into percentage stacks - totals = {} - for x in x_axis: - for package in data: - for point in package['data']: - totals[ point['x'] ] = totals.get(point['x'],0) + point['y'] - # Roll insignificant series into a catch-all - THRESHOLD = 0.01 - significant_series = [] - for package in data: - for point in package['data']: - fraction = float(point['y']) / totals[point['x']] - if fraction>THRESHOLD and not (package in significant_series): - significant_series.append(package) - temp = {} - for package in data: - if package in significant_series: continue - for point in package['data']: - temp[point['x']] = temp.get(point['x'],0) + point['y'] - catch_all = { 'name':'Other','data': [ {'x':x,'y':y} for x,y in temp.items() ] } - # Roll insignificant series into one - data = significant_series - data.append(catch_all) - # Sort the points - for package in data: - package['data'] = sorted( package['data'], key=lambda x:x['x'] ) - # Strip the latest month's incomplete analytics - package['data'] = package['data'][:-1] + # x-axis is every month in c.months. Note that data might not exist + # for entire history, eg. for recently-added datasets + x_axis = [x[0] for x in c.months] + x_axis.reverse() # Ascending order + x_axis = x_axis[:-1] # Remove latest month + totals = {} + for series in data: + series['data'] = [] + for x_string in x_axis: + x = _get_unix_epoch( x_string ) + y = series['raw'].get(x_string,0) + series['data'].append({'x':x,'y':y}) + totals[x] = totals.get(x,0)+y + if not percentageMode: + return data + # Turn all data into percentages + # Roll insignificant series into a catch-all + THRESHOLD = 1 + raw_data = data + data = [] + for series in raw_data: + for point in series['data']: + percentage = (100*float(point['y'])) / totals[point['x']] + if not (series in data) and percentage>THRESHOLD: + data.append(series) + point['y'] = percentage + others = [ x for x in raw_data if not (x in data) ] + if len(others): + data_other = [] + for i in range(len(x_axis)): + x = _get_unix_epoch(x_axis[i]) + y = 0 + for series in others: + y += series['data'][i]['y'] + data_other.append({'x':x,'y':y}) + data.append({ + 'name':'Other', + 'data': data_other + }) return data @@ -474,35 +475,51 @@ top_publishers = [] res = connection.execute(q, month) - department_ids = [] for row in res: g = model.Group.get(row[0]) if g: - department_ids.append(row[0]) top_publishers.append((g, row[1], row[2])) - - graph = {} - if limit is not None: - # Query for a history graph of these publishers - q = model.Session.query( - GA_Url.department_id, - GA_Url.period_name, - func.sum(cast(GA_Url.pageviews,sqlalchemy.types.INT)))\ - .filter( GA_Url.department_id.in_(department_ids) )\ - .filter( GA_Url.period_name!='All' )\ - .filter( GA_Url.url.like('/dataset/%') )\ - .filter( GA_Url.package_id!='' )\ - .group_by( GA_Url.department_id, GA_Url.period_name ) - for dept_id,period_name,views in q: - graph[dept_id] = graph.get( dept_id, { - 'name' : model.Group.get(dept_id).title, - 'data' : [] - }) - graph[dept_id]['data'].append({ - 'x': _get_unix_epoch(period_name), - 'y': views - }) - return top_publishers, graph + return top_publishers + + +def _get_top_publishers_graph(limit=20): + ''' + Returns a list of the top 20 publishers by dataset visits. + (The number to show can be varied with 'limit') + ''' + connection = model.Session.connection() + q = """ + select department_id, sum(pageviews::int) views + from ga_url + where department_id <> '' + and package_id <> '' + and url like '/dataset/%%' + and period_name='All' + group by department_id order by views desc + """ + if limit: + q = q + " limit %s;" % (limit) + + res = connection.execute(q) + department_ids = [ row[0] for row in res ] + + # Query for a history graph of these department ids + q = model.Session.query( + GA_Url.department_id, + GA_Url.period_name, + func.sum(cast(GA_Url.pageviews,sqlalchemy.types.INT)))\ + .filter( GA_Url.department_id.in_(department_ids) )\ + .filter( GA_Url.url.like('/dataset/%') )\ + .filter( GA_Url.package_id!='' )\ + .group_by( GA_Url.department_id, GA_Url.period_name ) + graph_dict = {} + for dept_id,period_name,views in q: + graph_dict[dept_id] = graph_dict.get( dept_id, { + 'name' : model.Group.get(dept_id).title, + 'raw' : {} + }) + graph_dict[dept_id]['raw'][period_name] = views + return [ graph_dict[id] for id in department_ids ] def _get_publishers(): --- a/ckanext/ga_report/download_analytics.py +++ b/ckanext/ga_report/download_analytics.py @@ -32,6 +32,11 @@ first_of_this_month = datetime.datetime(date.year, date.month, 1) _, last_day_of_month = calendar.monthrange(int(date.year), int(date.month)) last_of_this_month = datetime.datetime(date.year, date.month, last_day_of_month) + # if this is the latest month, note that it is only up until today + now = datetime.datetime.now() + if now.year == date.year and now.month == date.month: + last_day_of_month = now.day + last_of_this_month = now periods = ((date.strftime(FORMAT_MONTH), last_day_of_month, first_of_this_month, last_of_this_month),) @@ -126,7 +131,7 @@ # Make sure the All records are correct. ga_model.post_update_url_stats() - log.info('Aggregating datasets by publisher') + log.info('Associating datasets with their publisher') ga_model.update_publisher_stats(period_name) # about 30 seconds. @@ -298,7 +303,7 @@ def _download_stats(self, start_date, end_date, period_name, period_complete_day): - """ Fetches stats about language and country """ + """ Fetches stats about data downloads """ import ckan.model as model data = {} @@ -320,7 +325,14 @@ return def process_result_data(result_data, cached=False): + progress_total = len(result_data) + progress_count = 0 + resources_not_matched = [] for result in result_data: + progress_count += 1 + if progress_count % 100 == 0: + log.debug('.. %d/%d done so far', progress_count, progress_total) + url = result[0].strip() # Get package id associated with the resource that has this URL. @@ -334,9 +346,13 @@ if package_name: data[package_name] = data.get(package_name, 0) + int(result[1]) else: - log.warning(u"Could not find resource for URL: {url}".format(url=url)) + resources_not_matched.append(url) continue - + if resources_not_matched: + log.debug('Could not match %i or %i resource URLs to datasets. e.g. %r', + len(resources_not_matched), progress_total, resources_not_matched[:3]) + + log.info('Associating downloads of resource URLs with their respective datasets') process_result_data(results.get('rows')) results = self.service.data().ga().get( @@ -348,6 +364,7 @@ dimensions="ga:eventLabel", max_results=10000, end_date=end_date).execute() + log.info('Associating downloads of cache resource URLs with their respective datasets') process_result_data(results.get('rows'), cached=False) self._filter_out_long_tail(data, MIN_DOWNLOADS) --- a/ckanext/ga_report/ga_model.py +++ b/ckanext/ga_report/ga_model.py @@ -161,20 +161,20 @@ def pre_update_url_stats(period_name): - log.debug("Deleting '%s' records" % period_name) - model.Session.query(GA_Url).\ - filter(GA_Url.period_name==period_name).delete() - - count = model.Session.query(GA_Url).\ - filter(GA_Url.period_name == 'All').count() - log.debug("Deleting %d 'All' records" % count) - count = model.Session.query(GA_Url).\ - filter(GA_Url.period_name == 'All').delete() - log.debug("Deleted %d 'All' records" % count) + q = model.Session.query(GA_Url).\ + filter(GA_Url.period_name==period_name) + log.debug("Deleting %d '%s' records" % (q.count(), period_name)) + q.delete() + + q = model.Session.query(GA_Url).\ + filter(GA_Url.period_name == 'All') + log.debug("Deleting %d 'All' records..." % q.count()) + q.delete() model.Session.flush() model.Session.commit() model.repo.commit_and_remove() + log.debug('...done') def post_update_url_stats(): @@ -185,6 +185,7 @@ record regardless of whether the URL has an entry for the month being currently processed. """ + log.debug('Post-processing "All" records...') query = """select url, pageviews::int, visits::int from ga_url where url not in (select url from ga_url where period_name ='All')""" @@ -197,7 +198,13 @@ views[row[0]] = views.get(row[0], 0) + row[1] visits[row[0]] = visits.get(row[0], 0) + row[2] + progress_total = len(views.keys()) + progress_count = 0 for key in views.keys(): + progress_count += 1 + if progress_count % 100 == 0: + log.debug('.. %d/%d done so far', progress_count, progress_total) + package, publisher = _get_package_and_publisher(key) values = {'id': make_uuid(), @@ -207,10 +214,11 @@ 'pageviews': views[key], 'visits': visits[key], 'department_id': publisher, - 'package_id': publisher + 'package_id': package } model.Session.add(GA_Url(**values)) model.Session.commit() + log.debug('..done') def update_url_stats(period_name, period_complete_day, url_data): @@ -219,9 +227,14 @@ stores them in GA_Url under the period and recalculates the totals for the 'All' period. ''' + progress_total = len(url_data) + progress_count = 0 for url, views, visits in url_data: + progress_count += 1 + if progress_count % 100 == 0: + log.debug('.. %d/%d done so far', progress_count, progress_total) + package, publisher = _get_package_and_publisher(url) - item = model.Session.query(GA_Url).\ filter(GA_Url.period_name==period_name).\ --- a/ckanext/ga_report/helpers.py +++ b/ckanext/ga_report/helpers.py @@ -80,7 +80,7 @@ return base.render_snippet('ga_report/ga_popular_single.html', **context) -def most_popular_datasets(publisher, count=20): +def most_popular_datasets(publisher, count=20, preview_image=None): if not publisher: _log.error("No valid publisher passed to 'most_popular_datasets'") @@ -92,7 +92,8 @@ 'dataset_count': len(results), 'datasets': results, - 'publisher': publisher + 'publisher': publisher, + 'preview_image': preview_image } return base.render_snippet('ga_report/publisher/popular.html', **ctx) @@ -106,6 +107,10 @@ for entry in entries: if len(datasets) < count: p = model.Package.get(entry.url[len('/dataset/'):]) + if not p: + _log.warning("Could not find Package for {url}".format(url=entry.url)) + continue + if not p in datasets: datasets[p] = {'views':0, 'visits': 0} datasets[p]['views'] = datasets[p]['views'] + int(entry.pageviews) @@ -117,3 +122,17 @@ return sorted(results, key=operator.itemgetter(1), reverse=True) +def month_option_title(month_iso, months, day): + month_isos = [ iso_code for (iso_code,name) in months ] + try: + index = month_isos.index(month_iso) + except ValueError: + _log.error('Month "%s" not found in list of months.' % month_iso) + return month_iso + month_name = months[index][1] + if index==0: + return month_name + (' (up to %s)'%day) + return month_name + + + --- a/ckanext/ga_report/plugin.py +++ b/ckanext/ga_report/plugin.py @@ -5,7 +5,8 @@ from ckanext.ga_report.helpers import (most_popular_datasets, popular_datasets, - single_popular_dataset) + single_popular_dataset, + month_option_title) log = logging.getLogger('ckanext.ga-report') @@ -27,7 +28,8 @@ 'ga_report_installed': lambda: True, 'popular_datasets': popular_datasets, 'most_popular_datasets': most_popular_datasets, - 'single_popular_dataset': single_popular_dataset + 'single_popular_dataset': single_popular_dataset, + 'month_option_title': month_option_title } def after_map(self, map): --- a/ckanext/ga_report/public/css/ga_report.css +++ b/ckanext/ga_report/public/css/ga_report.css @@ -2,6 +2,11 @@ padding: 1px 0 0 0; width: 108px; text-align: center; + /* Hack to hide the momentary flash of text + * before sparklines are fully rendered */ + font-size: 1px; + color: transparent; + overflow: hidden; } .rickshaw_chart_container { position: relative; @@ -16,16 +21,9 @@ bottom: 0; } .rickshaw_legend { - position: absolute; - right: 0; - top: 0; - margin-left: 15px; - padding: 0 5px; background: transparent; - max-width: 150px; - overflow: hidden; - background: rgba(0,0,0,0.05); - border-radius:5px; + width: 100%; + padding-top: 4px; } .rickshaw_y_axis { position: absolute; @@ -38,4 +36,34 @@ color: #000000 !important; font-weight: normal !important; } +.rickshaw_legend .instructions { + color: #000; + margin-bottom: 6px; +} +.rickshaw_legend .line .action { + display: none; +} +.rickshaw_legend .line .swatch { + display: block; + float: left; +} +.rickshaw_legend .line .label { + display: block; + white-space: normal; + float: left; + width: 200px; +} +.rickshaw_legend .line .label:hover { + text-decoration: underline; +} + +.ga-reports-table .td-numeric { + text-align: center; +} +.ga-reports-heading { + padding-right: 10px; + margin-top: 4px; + float: left; +} + --- a/ckanext/ga_report/public/scripts/ckanext_ga_reports.js +++ b/ckanext/ga_report/public/scripts/ckanext_ga_reports.js @@ -1,12 +1,34 @@ - var CKAN = CKAN || {}; CKAN.GA_Reports = {}; CKAN.GA_Reports.render_rickshaw = function( css_name, data, mode, colorscheme ) { + var graphLegends = $('#graph-legend-container'); + + function renderError(alertClass,alertText,legendText) { + $("#chart_"+css_name) + .html( '
'+alertText+'
') + .closest('.rickshaw_chart_container').css('height',50); + var myLegend = $('
') + .html(legendText) + .appendTo(graphLegends); + } + + if (!Modernizr.svg) { + renderError('','Your browser does not support vector graphics. No graphs can be rendered.','(Graph cannot be rendered)'); + return; + } + if (data.length==0) { + renderError('alert-info','There is not enough data to render a graph.','(No graph available)'); + return + } + var myLegend = $('
').appendTo(graphLegends); + var palette = new Rickshaw.Color.Palette( { scheme: colorscheme } ); $.each(data, function(i, object) { object['color'] = palette.color(); }); + // Rickshaw renders the legend in reverse order... + data.reverse(); var graphElement = document.querySelector("#chart_"+css_name); @@ -16,27 +38,95 @@ series: data , height: 328 }); - graph.render(); - var x_axis = new Rickshaw.Graph.Axis.Time( { graph: graph } ); + var x_axis = new Rickshaw.Graph.Axis.Time( { + graph: graph + } ); var y_axis = new Rickshaw.Graph.Axis.Y( { graph: graph, orientation: 'left', tickFormat: Rickshaw.Fixtures.Number.formatKMBT, - element: document.getElementById('y_axis_'+css_name), + element: document.getElementById('y_axis_'+css_name) } ); var legend = new Rickshaw.Graph.Legend( { element: document.querySelector('#legend_'+css_name), graph: graph } ); - var hoverDetail = new Rickshaw.Graph.HoverDetail( { + var shelving = new Rickshaw.Graph.Behavior.Series.Toggle( { graph: graph, - formatter: function(series, x, y) { - var date = '' + new Date(x * 1000).toUTCString() + ''; - var swatch = ''; - var content = swatch + series.name + ": " + parseInt(y) + '
' + date; - return content; - } + legend: legend } ); + myLegend.prepend('
Click on a series below to isolate its graph:
'); + graph.render(); }; +CKAN.GA_Reports.bind_sparklines = function() { + /* + * Bind to the 'totals' tab being on screen, when the + * Sparkline graphs should be drawn. + * Note that they cannot be drawn sooner. + */ + var created = false; + $('a[href="#totals"]').on( + 'shown', + function() { + if (!created) { + var sparkOptions = { + enableTagOptions: true, + type: 'line', + width: 100, + height: 26, + chartRangeMin: 0, + spotColor: '', + maxSpotColor: '', + minSpotColor: '', + highlightSpotColor: '#000000', + lineColor: '#3F8E6D', + fillColor: '#B7E66B' + }; + $('.sparkline').sparkline('html',sparkOptions); + created = true; + } + $.sparkline_display_visible(); + } + ); +}; +CKAN.GA_Reports.bind_sidebar = function() { + /* + * Bind to changes in the tab behaviour: + * Show the correct rickshaw graph in the sidebar. + * Not to be called before all graphs load. + */ + $('a[data-toggle="hashtab"]').on( + 'shown', + function(e) { + var href = $(e.target).attr('href'); + var pane = $(href); + if (!pane.length) { console.err('bad href',href); return; } + var legend_name = "none"; + var graph = pane.find('.rickshaw_chart'); + if (graph.length) { + legend_name = graph.attr('id').replace('chart_',''); + } + legend_name = '#legend_'+legend_name; + $('#graph-legend-container > *').hide(); + $('#graph-legend-container .instructions').show(); + $(legend_name).show(); + } + ); + /* The first tab might already have been shown */ + $('li.active > a[data-toggle="hashtab"]').trigger('shown'); +}; + +CKAN.GA_Reports.bind_month_selector = function() { + var handler = function(e) { + var target = $(e.delegateTarget); + var form = target.closest('form'); + var url = form.attr('action')+'?month='+target.val()+window.location.hash; + window.location = url; + }; + var selectors = $('select[name="month"]'); + assert(selectors.length>0); + selectors.bind('change', handler); +}; + --- /dev/null +++ b/ckanext/ga_report/public/scripts/rickshaw_ie7_shim.js @@ -1,1 +1,109 @@ +/* + * Collection of shims to allow d3 and Rickshaw to load, error-free + * (but ultimately unusable) on Internet Explorer 7. The browser's + * API lacks several crucial functions which these libraries depend + * upon to load; we try to hide these errors from the user. + * + * With thanks to Array functions from: + * http://stackoverflow.com/questions/2790001/fixing-javascript-array-functions-in-internet-explorer-indexof-foreach-etc + * + * Use (Modernizr.svg==true) to detect whether it's okay to draw a graph. + */ +'use strict'; +window.Element = window.Element || {'prototype': {}}; +window.CSSStyleDeclaration = window.CSSStyleDeclaration || {'prototype':{}}; + +// Add ECMA262-5 method binding if not supported natively +// +if (!('bind' in Function.prototype)) { + Function.prototype.bind= function(owner) { + var that= this; + if (arguments.length<=1) { + return function() { + return that.apply(owner, arguments); + }; + } else { + var args= Array.prototype.slice.call(arguments, 1); + return function() { + return that.apply(owner, arguments.length===0? args : args.concat(Array.prototype.slice.call(arguments))); + }; + } + }; +} + +// Add ECMA262-5 string trim if not supported natively +// +if (!('trim' in String.prototype)) { + String.prototype.trim= function() { + return this.replace(/^\s+/, '').replace(/\s+$/, ''); + }; +} + +// Add ECMA262-5 Array methods if not supported natively +// +if (!('indexOf' in Array.prototype)) { + Array.prototype.indexOf= function(find, i /*opt*/) { + if (i===undefined) i= 0; + if (i<0) i+= this.length; + if (i<0) i= 0; + for (var n= this.length; ithis.length-1) i= this.length-1; + for (i++; i-->0;) /* i++ because from-argument is sadly inclusive */ + if (i in this && this[i]===find) + return i; + return -1; + }; +} +if (!('forEach' in Array.prototype)) { + Array.prototype.forEach= function(action, that /*opt*/) { + for (var i= 0, n= this.length; 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