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<link rel="import" href="../polymer/polymer.html">
<link rel="import" href="tf-run-selector.html">
<link rel="import" href="tf-x-type-selector.html">
<link rel="import" href="../tf-color-scale/tf-color-scale.html">
<link rel="import" href="../tf-categorizer/tf-categorizer.html">
<link rel="import" href="tf-line-chart.html">
<link rel="import" href="../tf-collapsable-pane/tf-collapsable-pane.html">
<link rel="import" href="../iron-collapse/iron-collapse.html">
<link rel="import" href="../paper-icon-button/paper-icon-button.html">
<link rel="import" href="../tf-imports/lodash.html">
<link rel="import" href="../tf-dashboard-common/tf-dashboard.html">
<link rel="import" href="../tf-backend/tf-backend.html">
<!--
tf-event-dashboard is a complete frontend that loads runs from a backend,
and creates chart panes that display data for those runs.
It provides a categorizer, run selector, and x type selector, by which the user
can customize how data is organized and displayed.
Each chart has a button that can toggle whether it is "selected"; selectedRuns
charts are larger.
Organizationally, the #plumbing div contains components that have no concrete
manifestation and just effect data bindings or data loading. The #sidebar contains
shared controls like the tf-categorizer, tf-run-selector, and tf-x-type-selector.
The #center div contains tf-line-charts embedded inside tf-collapsable-panes.
-->
<dom-module id="tf-event-dashboard">
<template>
<div id="plumbing">
<tf-color-scale
id="colorScale"
runs="[[runs]]"
out-color-scale="{{colorScale}}"
></tf-color-scale>
</div>
<tf-dashboard-layout>
<div class="sidebar">
<div class="sidebar-section">
<tf-categorizer
id="categorizer"
tags="[[_visibleTags]]"
categories="{{categories}}"
></tf-categorizer>
<paper-checkbox
id="download-option"
checked="{{_showDownloadLinks}}"
>Data download links</paper-checkbox>
</div>
<div class="sidebar-section">
<tf-x-type-selector
id="xTypeSelector"
out-x-type="{{xType}}"
></tf-x-type-selector>
</div>
<div class="sidebar-section">
<tf-run-selector
id="runSelector"
runs="[[runs]]"
color-scale="[[colorScale]]"
out-selected="{{selectedRuns}}"
></tf-run-selector>
</div>
</div>
<div class="center">
<tf-no-data-warning
data-type="scalar"
show-warning="[[dataNotFound]]"
></tf-no-data-warning>
<template is="dom-repeat" items="[[categories]]">
<tf-collapsable-pane name="[[item.name]]" count="[[item.tags.length]]">
<div class="layout horizontal wrap">
<template is="dom-repeat" items="[[item.tags]]" as="tag">
<div class="card">
<span class="card-title">[[tag]]</span>
<div class="card-content">
<tf-line-chart
tag="[[tag]]"
data-provider="[[dataProvider]]"
id="chart"
selected-runs="[[validRuns(tag, selectedRuns.*, run2tag.*)]]"
x-type="[[xType]]"
color-scale="[[colorScale]]"
on-keyup="toggleSelected"
tabindex="2"
></tf-line-chart>
<paper-icon-button
class="expand-button"
shift$="[[_showDownloadLinks]]"
icon="fullscreen"
on-tap="toggleSelected"
></paper-icon-button>
</div>
<template is="dom-if" if="[[_showDownloadLinks]]">
<div class="card-bottom-row">
<tf-downloader
selected-runs="[[selectedRuns]]"
tag="[[tag]]"
url-fn="[[scalarUrl]]"
run-to-tag="[[run2tag]]"
>
</tf-downloader>
</div>
</template>
</div>
</template>
</div>
</tf-collapsable-pane>
</template>
</div>
</tf-dashboard-layout>
<style include="dashboard-style"></style>
</template>
<script>
Polymer({
is: "tf-event-dashboard",
behaviors: [
TF.Dashboard.ReloadBehavior("tf-line-chart"),
TF.Backend.Behavior,
],
properties: {
dataType: {value: "scalar"},
router: Object,
scalarUrl: {
type: Function,
computed: "_getScalarUrl(router)",
},
_visibleTags: {
type: Array,
computed: "_getVisibleTags(selectedRuns.*, run2tag.*)"
},
_showDownloadLinks: {
type: Boolean,
notify: true,
value: TF.URIStorage.getBooleanInitializer('_showDownloadLinks',
false),
observer: '_showDownloadLinksObserver'
},
colorScale: {
type: Object,
notify: true,
},
},
attached: function() {
this.async(function() {
this.fire("rendered");
});
},
observers: ['redraw(_showDownloadLinks)'],
redraw: function(_showDownloadLinks) {
var els = this.getElementsByTagName("tf-line-chart");
for (var i=0; i<els.length; i++) {
els[i].redraw();
}
},
_getVisibleTags: function() {
var keys = this.selectedRuns;
var dict = this.run2tag;
return _.union.apply(null, keys.map(function(k) {return dict[k]}));
},
_getScalarUrl: function() {
return this.router.scalars;
},
_showDownloadLinksObserver: TF.URIStorage.getBooleanObserver(
'_showDownloadLinks', false),
toggleSelected: function(e) {
var currentTarget = Polymer.dom(e.currentTarget);
var parentDiv = currentTarget.parentNode.parentNode;
parentDiv.classList.toggle("selected");
var chart = currentTarget.previousElementSibling;
if (chart) {
chart.redraw();
}
},
validRuns: function(tag, runsChange, run2tagChange) {
var _this = this;
var result = this.selectedRuns.filter(function(r) {
return _this.run2tag[r] && _this.run2tag[r].indexOf(tag) !== -1;
});
return result;
},
});
</script>
</dom-module>
|
