/
index.js
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/
index.js
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import '../css/app.css';
import '../pkgs/bootstrap/css/bootstrap-theme.min.css';
import '../pkgs/Ladda/dist/ladda-themeless.min.css';
import '../../node_modules/hopscotch/dist/css/hopscotch.css';
import hopscotch from 'hopscotch';
import m from 'mithril';
import * as app from './app';
import * as exp from './explore';
import * as plots from './plots';
import * as results from './results';
import * as manipulate from './manipulate';
import * as subset from '../EventData/app/app';
import PanelButton from './views/PanelButton';
import Subpanel from './views/Subpanel';
import Flowchart from './views/Flowchart';
import * as common from '../common/app/common';
import ButtonRadio from '../common/app/views/ButtonRadio';
import Button from '../common/app/views/Button';
import Footer from '../common/app/views/Footer';
import Header from '../common/app/views/Header';
import MenuTabbed from '../common/app/views/MenuTabbed';
import Modal from '../common/app/views/Modal';
import Panel from '../common/app/views/Panel';
import PanelList from '../common/app/views/PanelList';
import Peek from '../common/app/views/Peek';
import DataTable from '../common/app/views/DataTable';
import Table from '../common/app/views/Table';
import TextField from '../common/app/views/TextField';
import MenuHeaders from "../common/app/views/MenuHeaders";
// EVENTDATA
import Body_EventData from '../EventData/app/Body_EventData';
import Peek_EventData from '../common-eventdata/views/Peek';
import '../EventData/css/app.css'
import '../EventData/app/app'
export let bold = (value) => m('div', {style: {'font-weight': 'bold', display: 'inline'}}, value);
export let italicize = (value) => m('div', {style: {'font-style': 'italic', display: 'inline'}}, value);
export let link = (url) => m('a', {href: url, style: {color: 'darkblue'}, target: '_blank', display: 'inline'}, url);
let state = {
pipelines: [],
async get_pipelines() {
this.pipelines = await app.listpipelines();
m.redraw();
}
};
// adding problem_id and version for Preprocess API part
let problem_id = 1;
let version = 1;
let nodesExplore = [];
function setBackgroundColor(color) {
return function() {
this.style['background-color'] = color;
};
}
function leftpanel(mode) {
if (mode === 'results')
return results.leftpanel(Object.keys(app.allPipelineInfo));
if (mode === 'manipulate')
return manipulate.leftpanel();
let selectedDisco = app.disco.find(problem => problem.problem_id === app.selectedProblem);
let transformVars = [...manipulate.getTransformVariables(manipulate.getProblemPipeline(app.selectedProblem) || [])];
let discoveryAllCheck = m('input#discoveryAllCheck[type=checkbox]', {
onclick: m.withAttr("checked", (checked) => app.setCheckedDiscoveryProblem(checked)),
checked: app.disco.length === app.checkedDiscoveryProblems.size,
title: `mark ${app.disco.length === app.checkedDiscoveryProblems.size ? 'no' : 'all'} problems as meaningful`
});
let discoveryHeaders = [
'problem_id',
m('[style=text-align:center]', 'Meaningful', m('br'), discoveryAllCheck),
app.disco.some(prob => prob.system === 'user') ? 'User' : '',
'Target', 'Predictors', 'Task', 'Metric', 'Subset', 'Transform'
];
let formatProblem = problem => [
problem.problem_id, // this is masked as the UID
m('input[type=checkbox][style=width:100%]', {
onclick: m.withAttr("checked", (checked) => app.setCheckedDiscoveryProblem(checked, problem.problem_id)),
checked: app.checkedDiscoveryProblems.has(problem.problem_id),
title: 'mark this problem as meaningful'
}),
problem.system === 'user' && m('div[title="User created problem"]', glyph('user')),
problem.target,
problem.predictors.join(', '),
problem.task,
problem.metric,
!!problem.subsetObs && problem.subsetObs,
!!problem.transform && problem.transform
];
let nodes = app.is_explore_mode ? nodesExplore : app.nodes;
return m(Panel, {
side: 'left',
label: 'Data Selection',
hover: !(app.is_manipulate_mode || app.rightTab === 'Manipulate'),
width: app.modelLeftPanelWidths[app.leftTab],
attrsAll: {
style: {
'z-index': 101,
background: 'rgb(249, 249, 249, .5)', // TODO this makes the leftpanel partially transparent, check with Vito
height: `calc(100% - ${common.heightHeader} - 2*${common.panelMargin} - ${app.peekInlineShown ? app.peekInlineHeight: '0px'} - ${common.heightFooter})`
}
}
}, m(MenuTabbed, {
id: 'leftpanelMenu',
attrsAll: {style: {height: 'calc(100% - 39px)'}},
currentTab: app.leftTab,
callback: app.setLeftTab,
sections: [
{
value: 'Variables',
title: 'Click variable name to add or remove the variable pebble from the modeling space.',
contents: app.is_model_mode && app.rightTab === 'Manipulate' && manipulate.constraintMenu ? [
m('h5', 'Constraint Type'),
manipulate.varList()
] : [
m(TextField, {
id: 'searchVar',
placeholder: 'Search variables and labels',
oninput: app.searchVariables
}),
m(PanelList, {
id: 'varList',
items: app.valueKey.concat(transformVars),
colors: {
[app.hexToRgba(common.selVarColor)]: nodes.map(n => n.name),
[app.hexToRgba(common.nomColor)]: app.zparams.znom,
[app.hexToRgba(common.dvColor)]: app.is_explore_mode ? [] : app.zparams.zdv
},
classes: {'item-bordered': app.matchedVariables},
callback: x => app.clickVar(x, nodes),
popup: variable => app.popoverContent(app.findNodeIndex(variable, true)),
attrsItems: {'data-placement': 'right', 'data-original-title': 'Summary Statistics'}
})
]
},
{
value: 'Discovery',
contents: [
m('div#discoveryTablesContainer', {
style: {
height: '80%',
overflow: 'auto',
display: 'block',
'margin-bottom': 0,
'max-width': (window.innerWidth - 90) + 'px'
}
},
// app.selectedProblem !== undefined && [
// m('h4', 'Current Problem'),
// m(Table, {
// id: 'discoveryTableManipulations',
// headers: discoveryHeaders,
// data: [formatProblem(selectedDisco)],
// activeRow: app.selectedProblem,
// showUID: false,
// abbreviation: 40
// }),
// m('h4', 'All Problems')
// ],
m(Table, {
id: 'discoveryTable',
headers: discoveryHeaders,
data: [
...app.disco.filter(prob => prob.system === 'user'),
...app.disco.filter(prob => prob.system !== 'user')
].map(formatProblem),
activeRow: app.selectedProblem,
onclick: app.discoveryClick,
showUID: false,
abbreviation: 40
})),
m('textarea#discoveryInput[style=display:block; float: left; width: 100%; height:calc(20% - 35px); overflow: auto; background-color: white]', {
value: selectedDisco === undefined ? '' : selectedDisco.description
}),
m(Button, {
id: 'btnDelete',
disabled: !selectedDisco || selectedDisco.system === 'auto',
style: 'float:right',
onclick: _ => {setTimeout(_ => {
let deleteProbleAPI = app.deleteProblem(problem_id, version, 'id_000003');
console.log("have to delete this ", selectedDisco)
app.deleteFromDisc(selectedDisco)
}, 500);}, title: 'Delete the user created problem'}, 'Delete Problem.'),
m(PanelButton, {
id: 'btnSave',
onclick: app.saveDisc,
title: 'Saves your revised problem description.'
}, 'Save Desc.'),
m(PanelButton, {
id: 'btnSubmitDisc',
classes: 'btn-success',
style: 'float: right',
onclick: app.submitDiscProb,
title: 'Submit all checked discovered problems.'
}, 'Submit Disc. Probs.')
]
},
{
value: 'Summary',
title: 'Select a variable from within the visualization in the center panel to view its summary statistics.',
display: 'none',
contents: [
m('center',
m('b', app.summary.name),
m('br'),
m('i', app.summary.labl)),
m('table', app.summary.data.map(tr => m('tr', tr.map(
td => m('td',
{
onmouseover: setBackgroundColor('aliceblue'),
onmouseout: setBackgroundColor('f9f9f9')
},
td)))))]
}
]
}));
}
let righttab = (id, task, title, probDesc) => m(PanelList, {
id: id,
items: Object.keys(task || {}),
colors: {[app.hexToRgba(common.selVarColor)]: [app.d3mProblemDescription[probDesc]]},
classes: {
'item-lineout': Object.keys(task || {})
.filter(item => app.locktoggle && item !== app.d3mProblemDescription[probDesc])
},
callback: (value) => app.setD3mProblemDescription(probDesc, value),
popup: v => task[v][1],
attrsItems: {'data-placement': 'top', 'data-original-title': title + ' Description'}
});
function rightpanel(mode) {
if (mode === 'results') return; // returns undefined, which mithril ignores
if (mode === 'explore') return;
if (mode === 'manipulate') return manipulate.rightpanel();
// mode == null (model mode)
// only called if the pipeline flowchart is rendered
function pipelineFlowchartPrep(pipeline) {
let steps = pipeline.steps.map((pipeStep, i) => ({
key: 'Step ' + i,
color: common.grayColor,
// special coloring is not enabled for now
// color: {
// 'data': common.grayColor,
// 'byudml': common.dvColor,
// 'sklearn_wrap': common.csColor
// }[pipeStep.primitive.python_path.split('.')[2]] || common.grayColor,
summary: m(Table, {
id: 'pipelineFlowchartSummary' + i,
abbreviation: 40,
data: {
'Name': pipeStep['primitive']['primitive'].name,
'Method': pipeStep['primitive']['primitive']['pythonPath'].split('.').slice(-1)[0]
},
attrsAll: {style: {'margin-bottom': 0, padding: '1em'}}
}),
content: m(Table, {
id: 'pipelineTableStep' + i,
abbreviation: 40,
data: pipeStep,
nest: true
})
}));
let inputs = 'inputs' in pipeline && m(Table, {
id: 'pipelineInputsTable',
data: pipeline.inputs,
attrsAll: {style: {'margin-bottom': 0, 'padding': '1em'}}
});
let outputs = 'outputs' in pipeline && m(Table, {
id: 'pipelineOutputsTable',
data: pipeline.outputs,
attrsAll: {style: {'margin-bottom': 0, 'padding': '1em'}}
});
return [
{color: common.csColor, key: 'Inputs', summary: inputs, content: inputs},
...steps,
{color: common.csColor, key: 'Outputs', summary: outputs, content: outputs}
];
}
let dropdown = (label, key, task) => {
let metric = key === 'performanceMetrics';
let desc = app.d3mProblemDescription[key];
desc = metric ? desc[0].metric : desc;
return m('.dropdown', {style: 'padding: .5em'},
m('', m('label', label), m('br'),
app.locktoggle ? m('button.btn.btn-disabled', desc) : [
m('button.btn.btn-default.dropdown-toggle[data-toggle=dropdown]', {id: key},
desc, m('span.caret')),
m('ul.dropdown-menu', {'aria-labelledby': key}, Object.keys(task)
.map(x => m('li', {
style: 'padding: 0.25em',
onclick: _ => app.setD3mProblemDescription(key, metric ? [{metric: x}] : x)
}, x)))
]));
};
if (app.selectedProblem) {
if (!(app.configurations.name in subset.manipulations)) subset.manipulations[app.configurations.name] = [];
let combinedId = app.configurations.name + app.selectedProblem;
if (!(combinedId in subset.manipulations)) subset.manipulations[combinedId] = [];
}
let sections = [
// {value: 'Models',
// display: app.IS_D3M_DOMAIN ? 'block' : 'none',
// contents: righttab('models')},
{value: 'Problem',
idSuffix: 'Type',
contents: [
m(`button#btnLock.btn.btn-default`, {
class: app.locktoggle ? 'active' : '',
onclick: () => app.lockDescription(!app.locktoggle),
title: 'Lock selection of problem description',
style: 'float: right',
}, glyph(app.locktoggle ? 'lock' : 'pencil', true)),
m('', {style: 'float: left'},
dropdown('Task', 'taskType', app.d3mTaskType),
dropdown('Task Subtype', 'taskSubtype', app.d3mTaskSubtype),
dropdown('Metric', 'performanceMetrics', app.d3mMetrics))
]},
app.selectedProblem && {
value: 'Manipulate',
title: 'Apply transformations and subsets to a problem',
contents: m(MenuHeaders, {
id: 'aggregateMenu',
attrsAll: {style: {height: '100%', overflow: 'auto'}},
sections: [
(subset.manipulations[app.configurations.name] || []).length !== 0 && {
value: 'Dataset Pipeline',
contents: m(manipulate.PipelineFlowchart, {
compoundPipeline: subset.manipulations[app.configurations.name],
pipelineId: app.configurations.name,
editable: false
})
},
{
value: 'Problem Pipeline',
contents: m(manipulate.PipelineFlowchart, {
compoundPipeline: [...subset.manipulations[app.configurations.name], ...subset.manipulations[app.configurations.name + app.selectedProblem]],
pipelineId: app.configurations.name + app.selectedProblem,
editable: true,
aggregate: false
})
}
]
})
},
{value: 'Results',
display: !app.swandive || IS_D3M_DOMAIN ? 'block' : 'none',
idSuffix: 'Setx',
contents: [
m('#setxRight[style=float: right; width: 30%; height: 100%; overflow:auto]',
app.selectedPipeline && [
bold('Score Metric: '), app.d3mProblemDescription.performanceMetrics[0].metric, m('br'),
app.resultsMetricDescription
],
app.pipelineTable.length !== 0 && m(Table, {
id: 'pipelineTable',
headers: app.pipelineHeader,
data: app.pipelineTable,
activeRow: app.selectedPipeline,
onclick: app.setSelectedPipeline,
abbreviation: 20,
tableTags: m('colgroup',
m('col', {span: 1}),
m('col', {span: 1, width: '30%'}))
})),
app.pipelineTable.length === 0 && "Use 'Solve This Problem' to create a list of pipelines. ",
app.selectedPipeline === undefined && 'Click a pipeline to explore results.',
app.selectedPipeline && m(ButtonRadio, {
id: 'resultsButtonBar',
attrsAll: {style: {width: 'auto'}},
attrsButtons: {class: ['btn-sm'], style: {width: 'auto'}},
onclick: app.setSelectedResultsMenu,
activeSection: app.selectedResultsMenu,
sections: [
{value: 'Prediction Summary', id: 'btnPredPlot'},
{value: 'Generate New Predictions', id: 'btnGenPreds'},
{value: 'Visualize Pipeline', id: 'btnVisPipe'}
]
}),
m(`div#predictionSummary[style=display:${app.selectedResultsMenu === 'Prediction Summary' ? 'block' : 'none'};height:calc(100% - 30px); overflow: auto; width: 70%]`,
m('#setxLeftPlot[style=float:left; background-color:white; overflow:auto;]'),
m('#setxLeft[style=display:none; float: left; overflow: auto; background-color: white]'),
),
m(`#setxLeftGen[style=display:${app.selectedResultsMenu === 'Generate New Predictions' ? 'block' : 'none'}; float: left; width: 70%; height:calc(100% - 30px); overflow: auto; background-color: white]`,
m('#setxLeftTop[style=display:block; float: left; width: 100%; height:50%; overflow: auto; background-color: white]',
m('#setxLeftTopLeft[style=display:block; float: left; width: 30%; height:100%; overflow: auto; background-color: white]'),
m('#setxLeftTopRight[style=display:block; float: left; width: 70%; height:100%; overflow: auto; background-color: white]')),
m('#setxLeftBottomLeft[style=display:block; float: left; width: 70%; height:50%; overflow: auto; background-color: white]'),
m('#setxLeftBottomRightTop[style=display:block; float: left; width: 30%; height:10%; overflow: auto; background-color: white]',
m(PanelButton, {
id: 'btnExecutePipe',
classes: 'btn-default.ladda-button[data-spinner-color=#000000][data-style=zoom-in]',
onclick: app.executepipeline,
style: {
display: app.selectedPipeline === undefined ? 'none' : 'block',
float: 'left',
'margin-right': '10px'
},
title: 'Execute pipeline'
}, m('span.ladda-label[style=pointer-events: none]', 'Execute Generation'))),
m('#setxLeftBottomRightBottom[style=display:block; float: left; width: 30%; height:40%; overflow: auto; background-color: white]')),
app.selectedResultsMenu === 'Visualize Pipeline' && app.selectedPipeline in app.allPipelineInfo && m('div', {
style: {
width: '70%',
height: 'calc(100% - 30px)',
overflow: 'auto'
}
},
m('div', {style: {'font-weight': 'bold', 'margin': '1em'}}, 'Overview: '),
m(Table, {
id: 'pipelineOverviewTable',
data: Object.keys(app.allPipelineInfo[app.selectedPipeline].pipeline).reduce((out, entry) => {
if (['inputs', 'steps', 'outputs'].indexOf(entry) === -1)
out[entry] = app.allPipelineInfo[app.selectedPipeline].pipeline[entry];
return out;
}, {}),
attrsAll: {
style: {
margin: '1em',
width: 'calc(100% - 2em)',
border: common.borderColor,
'box-shadow': '0px 5px 5px rgba(0, 0, 0, .2)'
}
},
nest: true
}),
m('div', {style: {'font-weight': 'bold', 'margin': '1em'}}, 'Steps: '),
m(Flowchart, {
labelWidth: '5em',
steps: pipelineFlowchartPrep(app.allPipelineInfo[app.selectedPipeline].pipeline)
})
)
]
},{
value: 'Discovery',
idSuffix: 'disc',
contents: [
m(ButtonRadio, {
id: 'discoveryButtonBar',
attrsAll: {style: {'margin-left':'5%',width: 'auto'}},
attrsButtons: {class: ['btn-sm'], style: { padding:'0.5em',width:'auto'}},
onclick: app.setSelectedDiscoverySolutionMenu,
activeSection: app.selectedDiscoverySolutionMenu,
sections: [
{value: 'Prediction Data', id: 'btnPredData'},
{value: 'Solution Plot', id: 'btnSolPlot'}
]
}),
m('div', {style: {'font-weight': 'bold', 'margin': '1em', 'height': '100%', 'float':'right', 'width': '50%' }},
m(DataTable, {data: app.stargazer})),
m(`div#predictionData[style=display:${app.selectedDiscoverySolutionMenu === 'Prediction Data' ? 'block' : 'none'};height:"90%"; overflow: auto; width: 50%, 'float':'left']`,
m('#setPredictionDataLeft[style=display:block; float: left; width: 100%; height:100%; margin-top:1em; overflow: auto; background-color: white]')
),
m(`div#solutionPlot[style=display:${app.selectedDiscoverySolutionMenu === 'Solution Plot' ? 'block' : 'none'};height:"90%"; overflow: auto; width: 50%, 'float':'left']`,
m('#setPredictionSolutionPlot[style=display:block; float: left; width: 100%; height:100%; overflow: auto; background-color: black]')
)
]}
];
return m(Panel, {
side: 'right',
label: 'Model Selection',
hover: true,
width: app.modelRightPanelWidths[app.rightTab],
attrsAll: {
style: {
'z-index': 101,
height: `calc(100% - ${common.heightHeader} - 2*${common.panelMargin} - ${app.peekInlineShown ? app.peekInlineHeight: '0px'} - ${common.heightFooter})`
}
}
}, m(MenuTabbed, {
id: 'rightpanelMenu',
currentTab: app.rightTab,
callback: app.setRightTab,
sections: sections,
attrsAll: {style: {height: 'calc(100% - 39px)'}}
}));
}
export let glyph = (icon, unstyled) =>
m(`span.glyphicon.glyphicon-${icon}` + (unstyled ? '' : '[style=color: #818181; font-size: 1em; pointer-events: none]'));
class Body {
oninit() {
app.setRightTab(IS_D3M_DOMAIN ? 'Problem' : 'Models');
if (m.route.get() !== '/data') app.set_mode('model');
this.cite = false;
this.citeHidden = false;
}
oncreate() {
let extract = (name, key, offset, replace) => {
key = key + '=';
let loc = window.location.toString();
let val = loc.indexOf(key) > 0 ? loc.substring(loc.indexOf(key) + offset) : '';
let idx = val.indexOf('&');
val = idx > 0 ? val.substring(0, idx) : val;
val = val.replace('#!/model', '');
console.log(name, ': ', val);
return replace ?
val
.replace(/%25/g, '%')
.replace(/%3A/g, ':')
.replace(/%2F/g, '/')
: val;
};
app.main(
extract('fileid', 'dfId', 5),
extract('hostname', 'host', 5),
extract('ddiurl', 'ddiurl', 7, true),
extract('dataurl', 'dataurl', 8, true),
extract('apikey', 'key', 4));
}
view(vnode) {
let {mode, variate, vars} = vnode.attrs;
// after calling m.route.set, the params for mode, variate, vars don't update in the first redraw.
// checking window.location.href is a workaround, permits changing mode from url bar
if (window.location.href.includes(mode) && mode !== app.currentMode)
app.set_mode(mode);
let expnodes = [];
vars = vars ? vars.split('/') : [];
let exploreVars = (() => {
vars.forEach(x => {
let node = app.findNode(x);
node && expnodes.push(node);
});
if (variate==="problem") {
let problem = app.disco.find(problem => problem.problem_id === app.selectedProblem);
return m('', [
m('#plot', {style: 'display: block', oncreate: _ => exp.plot([],"",problem)})
]);
}
if (!expnodes[0] && !expnodes[1]) {
return;
}
let plotMap = {
scatter: "Scatter Plot",
tableheat: "Heatmap",
line: "Line Chart",
stackedbar: "Stacked Bar",
box: "Box Plot",
groupedbar: "Grouped Bar",
strip: "Strip Plot",
aggbar: "Aggregate Bar",
binnedscatter: "Binned Scatter",
step: "Step Chart",
area: "Area Chart",
binnedtableheat: "Binned Heatmap",
averagediff: "Diff. from Avg.",
scattermeansd: "Scatter with Overlays",
scattermatrix: "Scatter Matrix",
simplebar: "Simple Bar Uni",
histogram: "Histogram Uni",
areauni: "Area Chart Uni",
histogrammean: "Histogram with Mean Uni",
trellishist: "Histogram Trellis",
interactivebarmean: "Interactive Bar with Mean",
dot: "Simple Dot Plot",
horizon: "Horizon Plot",
binnedcrossfilter: "Binned Cross Filter",
scattertri: "Scatterplot with Groups",
groupedbartri: "Grouped Bar",
horizgroupbar: "Horizontal Grouped Bar",
bubbletri: "Bubble Plot with Groups",
bubbleqqq: "Bubble Plot with Binned Groups",
scatterqqq: "Interactive Scatterplot with Binned Groups",
trellisscatterqqn: "Scatterplot Trellis",
heatmapnnq: "Heatmap with Mean Z",
dotdashqqn: "Dot-dash Plot",
tablebubblennq: "Table Bubble Plot",
stackedbarnnn: "Stacked Bar Plot",
facetbox: "Faceted Box Plot",
facetheatmap: "Faceted Heatmap",
groupedbarnqq: "Grouped Bar with Binned Z"
};
let schemas = {
univariate: 'areauni dot histogram histogrammean simplebar',
bivariate: 'aggbar area averagediff binnedscatter binnedtableheat box'
+ ' groupedbar horizon interactivebarmean line scatter scattermatrix scattermeansd stackedbar step strip tableheat trellishist',
trivariate: 'bubbletri groupedbartri horizgroupbar scattertri bubbleqqq scatterqqq trellisscatterqqn heatmapnnq dotdashqqn tablebubblennq stackedbarnnn facetbox facetheatmap groupedbarnqq',
multiple: 'binnedcrossfilter scattermatrix'
};
let filtered = schemas[variate];
if (variate === 'bivariate' || variate === 'trivariate') {
filtered = `${filtered} ${schemas.multiple}`;
}
let plot = expnodes[0] && expnodes[0].plottype === 'continuous' ? plots.density : plots.bars;
return m('', [
m('', {style: 'margin-bottom: 1em; max-width: 1000px; overflow: scroll; white-space: nowrap'},
filtered.split(' ').map(x => {
return m("figure", {style: 'display: inline-block'}, [
m(`img#${x}_img[alt=${x}][height=140px][width=260px][src=/static/images/${x}.png]`, {
onclick: _ => exp.plot(expnodes, x),
style: exp.thumbsty(expnodes,x)
// style: {border: "2px solid #ddd", "border-radius": "3px", padding: "5px", margin: "3%", cursor: "pointer"}
}),
m("figcaption", {style: {"text-align": "center"}}, plotMap[x])
]);
})),
m('#plot', {style: 'display: block', oncreate: _ => expnodes.length > 1 ? exp.plot(expnodes) : plot(expnodes[0], 'explore', true)})
]);
})();
let spaceBtn = (id, onclick, title, icon) =>
m(`button#${id}.btn.btn-default`, {onclick, title}, glyph(icon, true));
let discovery = app.leftTab === 'Discovery';
let overflow = app.is_explore_mode ? 'auto' : 'hidden';
let style = `position: absolute; left: ${app.panelWidth.left}; top: 0; margin-top: 10px`;
if (app.domainIdentifier && !(app.configurations.name in subset.manipulations))
subset.manipulations[app.configurations.name] = [];
let problem = app.disco.find(prob => prob.problem_id === app.selectedProblem);
return m('main', [
m(Modal),
this.header(app.currentMode),
this.footer(app.currentMode),
leftpanel(app.currentMode),
rightpanel(app.currentMode),
(app.is_manipulate_mode || (app.is_model_mode && app.rightTab === 'Manipulate')) && manipulate.menu(
manipulate.getPipeline(app.selectedProblem), // the complete pipeline to build menus with
app.is_model_mode ? problem.pipelineId : app.configurations.name), // the identifier for which pipeline to edit
app.peekInlineShown && this.peekTable(),
m(`#main`, {style: {overflow, display: app.is_manipulate_mode || (app.rightTab === 'Manipulate' && manipulate.constraintMenu) ? 'none' : 'block'}},
m("#innercarousel.carousel-inner", {style: {height: '100%', overflow}},
app.is_explore_mode && [variate === 'problem' ?
m('', {style},
m('a', {onclick: _ => m.route.set('/explore')}, '<- back to variables'),
m('br'),
exploreVars)
// JSON.stringify(app.disco[app.selectedProblem]))
: exploreVars ?
m('', {style},
m('a', {onclick: _ => m.route.set('/explore')}, '<- back to variables'),
m('br'),
exploreVars)
: m('', {style},
m(ButtonRadio,
{id: 'exploreButtonBar',
attrsAll: {style: {width: '400px'}},
attrsButtons: {class: ['btn-sm']},
onclick: x => {nodesExplore = []; app.setVariate(x)},
activeSection: app.exploreVariate,
sections: discovery ? [{value: 'Problem'}] : [{value: 'Univariate'}, {value: 'Bivariate'}, {value: 'Trivariate'}, {value: 'Multiple'}]}),
m(PanelButton, {
id: 'exploreGo',
classes: 'btn-success',
onclick: _ => {
let variate = app.exploreVariate.toLowerCase();
let selected = discovery ? [app.selectedProblem] : nodesExplore.map(x => x.name);
let len = selected.length;
if (variate === 'univariate' && len != 1
|| variate === 'problem' && len != 1
|| variate === 'bivariate' && len != 2
|| variate === 'trivariate' && len != 3
|| variate === 'multiple' && len < 2) {
return;
}
m.route.set(`/explore/${variate}/${selected.join('/')}`);
}
}, 'go'),
m('br'),
m('', {style: 'display: flex; flex-direction: row; flex-wrap: wrap'},
(discovery ? app.disco : app.valueKey).map((x, i) => {
let {problem_id} = x;
let selected = discovery ? problem_id === app.selectedProblem : nodesExplore.map(x => x.name).includes(x);
let {predictors} = x;
if (x.predictors) {
x = x.target;
}
let node = app.findNodeIndex(x, true);
let show = app.exploreVariate === 'Bivariate' || app.exploreVariate === 'Trivariate';
let [n0, n1, n2] = nodesExplore;
return m('span', {
onclick: _ => discovery ? app.setSelectedProblem(problem_id) : app.clickVar(x, nodesExplore),
onmouseover: function() {
$(this).popover('toggle');
$('body div.popover')
.addClass('variables');
$('body div.popover div.popover-content')
.addClass('form-horizontal');
},
onmouseout: "$(this).popover('toggle');",
'data-container': 'body',
'data-content': node.labl || '<i>none provided</i>',
'data-html': 'true',
'data-original-title': 'Description',
'data-placement': 'top',
'data-toggle': 'popover',
'data-trigger': 'hover',
style: {
border: '1px solid rgba(0, 0, 0, .2)',
'border-radius': '5px',
'box-shadow': '0px 5px 10px rgba(0, 0, 0, .2)',
display: 'flex',
'flex-direction': 'column',
height: '250px',
margin: '.5em',
width: '250px',
'align-items': 'center',
'background-color': app.hexToRgba(common[selected ? 'selVarColor' : 'varColor'])
}
}, [m('', {
oninit() {
this.node = app.findNodeIndex(x, true);
},
oncreate(vnode) {
let plot = this.node.plottype === 'continuous' ? plots.densityNode : plots.barsNode;
plot(this.node, vnode.dom, 110, true);
},
onupdate(vnode) {
let node = app.findNodeIndex(x, true);
if (node != this.node) {
let plot = node.plottype === 'continuous' ? plots.densityNode : plots.barsNode;
plot(node, vnode.dom, 110, true);
this.node = node;
}
},
style: 'height: 65%'}),
m('', {style: 'margin: 1em'},
show && n0 && n0.name === x ? `${x} (x)`
: show && n1 && n1.name === x ? `${x} (y)`
: show && n2 && n2.name === x ? `${x} (z)`
: predictors ? [
m('b', x),
m('p', predictors.join(', '))]
: x)
]);
}))
)],
m('svg#whitespace')),
app.is_model_mode && m("#spacetools.spaceTool", {style: {right: app.panelWidth.right, 'z-index': 16}},
spaceBtn('btnAdd', async function() {
app.zPop();
let rookpipe = await app.makeRequest(ROOK_SVC_URL + 'pipelineapp', app.zparams);
rookpipe.target = rookpipe.depvar[0];
let myn = app.findNodeIndex(rookpipe.target, true);
let currentTaskType = app.d3mProblemDescription.taskType;
let currentMetric = app.d3mProblemDescription.performanceMetrics[0].metric;
if (myn.nature == "nominal"){
rookpipe.task = currentTaskType === 'taskTypeUndefined' ? 'classification' : currentTaskType;
rookpipe.metric = currentMetric === 'metricUndefined' ? 'f1Macro' : currentMetric;
}else{
rookpipe.task = currentTaskType === 'taskTypeUndefined' ? 'regression' : currentTaskType;
rookpipe.metric = currentMetric === 'metricUndefined' ? 'meanSquaredError' : currentMetric;
};
rookpipe.meaningful = "yes";
rookpipe.subsetObs = 0;
rookpipe.subsetFeats = 0;
rookpipe.transform = 0;
rookpipe.system = "user";
let problemId = app.disco.length + 1;
rookpipe.problem_id = "problem" + problemId;
console.log("pushing this:");
console.log(rookpipe);
app.disco.push(rookpipe);
app.setSelectedProblem(rookpipe.problem_id);
app.setLeftTab('Discovery');
console.log("This is rookpipe ",rookpipe);
// this is where Problem ADD API call to the function will be made
let problem_result = {};
let preprocess_id = 1;
let version =1;
let selectedDisco = app.disco.find(problem => problem.problem_id === rookpipe.problem_id);
// console.log("this is selected Disco," , selectedDisco)
// app.problem_sent = []
// app.solver_res = []
let app_solver_result = app.callSolver(selectedDisco);
console.log("app selectedDisco ", selectedDisco)
app.solver_res = app_solver_result
let my_disco = []
my_disco.push(selectedDisco)
app.loadResult(my_disco)
// let addProblemAPI = app.addProblem(preprocess_id, version, problem_section);
// console.log("API RESPONSE: ",addProblemAPI );
m.redraw();
}, 'Add model to problems.', 'plus'),
spaceBtn('btnJoin', _ => {
let links = [];
console.log("doing connect all");
if (app.is_explore_mode) {
for (let node of app.nodes) {
for (let node1 of app.nodes) {
if (node !== node1 && links.filter(l => l.target === node1 && l.source === node).length === 0) {
links.push({left: false, right: false, target: node, source: node1});
}
}
}
} else {
let dvs = app.nodes.filter(n => app.zparams.zdv.includes(n.name));
let nolink = app.zparams.zdv.concat(app.zparams.zgroup1).concat(app.zparams.zgroup2);
let ivs = app.nodes.filter(n => !nolink.includes(n.name));
links = dvs.map(dv => ivs.map(iv => ({
left: true,
right: false,
target: iv,
source: dv
})));
}
app.restart([].concat(...links));
}, 'Make all possible connections between nodes', 'link'),
spaceBtn('btnDisconnect', _ => app.restart([]), 'Delete all connections between nodes', 'remove-circle'),
spaceBtn('btnForce', app.forceSwitch, 'Pin the variable pebbles to the page', 'pushpin'),
spaceBtn('btnEraser', app.erase, 'Wipe all variables from the modeling space', 'magnet')),
app.is_model_mode && m(Subpanel, {
title: "Legend",
buttons: [
['timeButton', 'ztime', 'Time'],
['csButton', 'zcross', 'Cross Sec'],
['dvButton', 'zdv', 'Dep Var'],
['nomButton', 'znom', 'Nom Var'],
['gr1Button', 'zgroup1', 'Group 1'],
['gr2Button', 'zgroup2', 'Group 2']],
attrsStyle: {bottom: `calc(${app.peekInlineShown ? app.peekInlineHeight + ' + 23px' : '0px'})`}
}),
app.currentMode !== 'manipulate' && m(Subpanel, {title: "History"}))
]);
}
header(mode) {
let userlinks = username === '' ? [
{title: "Log in", url: login_url},
{title: "Sign up", url: signup_url}
] : [{title: "Workspaces", url: workspaces_url},
{title: "Settings", url: settings_url},
{title: "Links", url: devlinks_url},
{title: "Logout", url: logout_url}];
let _navBtn = (id, left, right, onclick, args, min) => m(
`button#${id}.btn.navbar-right`,
{onclick: onclick,
style: {'margin-left': left + 'em',
'margin-right': right + 'em',
'min-width': min}},
args);
let navBtn = (id, left, right, onclick, args, min) => _navBtn(
id + '.ladda-button[data-spinner-color=#000000][data-style=zoom-in]',
left, right, onclick, args, min);
let navBtnGroup = (id, onclick, args, min) => m(
`button#${id}.btn.navbar-left`,
{onclick: onclick,
style: {'min-width': min}},
args);
let navBtn1 = (id, onclick, args, title) => _navBtn(
`${id}.btn-default[title=${title}]`, 2, 0, onclick, args);
return m(Header, {
style: mode === 'explore' ? {'background-image': '-webkit-linear-gradient(top, #fff 0, rgb(227, 242, 254) 100%)'} : {}
}, [m('#dataField.field[style=text-align: center]', [
m('h4#dataName[style=display: inline-block; margin-right:2em; margin-top: 7px]',
{onclick: _ => this.cite = this.citeHidden = !this.citeHidden,
onmouseout: _ => this.citeHidden || (this.cite = false),
onmouseover: _ => this.cite = true},
'Dataset Name'),
m('#cite.panel.panel-default',
{style: `display: ${this.cite ? 'block' : 'none'}; position: absolute; right: 50%; width: 380px; text-align: left; z-index: 50`},
m('.panel-body')),
m('span',
m('.dropdown[style=float: right; padding-right: 1em]',
m('#drop.button.btn[type=button][data-toggle=dropdown][aria-haspopup=true][aria-expanded=false]',
[username, " ", glyph('triangle-bottom')]),
m('ul.dropdown-menu[role=menu][aria-labelledby=drop]',
userlinks.map(link => m('a[style=padding: 0.5em]', {href: link.url}, link.title, m('br'))))),
mode !== 'model' ? null : navBtn('btnEstimate.btn-default', 2, 1, app.estimate, m("span.ladda-label", mode === 'explore' ? 'Explore' : 'Solve This Problem'), '150px'),
m('div.btn-group[role=group][aria-label="..."]', {style:{"float":"right", "margin-left": "2em"}},
navBtnGroup('btnTA2.btn-default', _ => hopscotch.startTour(app.mytour, 0), ['Help Tour ', glyph('road')]),
navBtnGroup('btnTA2.btn-default', _ => app.helpmaterials('video'), ['Video ', glyph('expand')]),
navBtnGroup('btnTA2.btn-default', _ => app.helpmaterials('manual'), ['Manual ', glyph('book')])),
navBtn1("btnReset", app.reset, glyph('repeat'), 'Reset'),
navBtn1('btnEndSession', app.endsession, m("span.ladda-label", 'Mark Problem Finished'), 'Mark Problem Finished'))
])]);
}
peekTable() {
let pipeline = manipulate.getPipeline(app.is_model_mode && app.selectedProblem);
if (app.peekInlineShown && !app.peekData) app.resetPeek(pipeline);
return m('div#previewTable', {
style: {
"position": "fixed",
"bottom": common.heightFooter,
"height": app.peekInlineHeight,
"width": "100%",
"border-top": "1px solid #ADADAD",
"overflow-y": "scroll",
"overflow-x": "auto",
'z-index': 100,
'background': 'rgba(255,255,255,.6)'
},
onscroll: () => {
// don't apply infinite scrolling when list is empty
if (app.peekData.length === 0) return;
let container = document.querySelector('#previewTable');
let scrollHeight = container.scrollHeight - container.scrollTop;
if (scrollHeight < container.offsetHeight + 100) app.updatePeek(pipeline);
}
},
m('#horizontalDrag', {
style: {
position: 'absolute',
top: '-4px',
left: 0,
right: 0,
height: '12px',
cursor: 'h-resize',
'z-index': 1000
},
onmousedown: (e) => {
app.setPeekInlineIsResizing(true);
document.body.classList.add('no-select');
app.peekMouseMove(e);
}
}),
m(Table, {
// headers: [...subset.tableHeaders, ...subset.tableHeadersEvent],
id: 'previewTable',
data: app.peekData || []
})
);
}
footer(mode) {
let manipulateRecordCount;
let pipeline = subset.manipulations[(app.domainIdentifier || {}).name];
if (pipeline) manipulateRecordCount = {
'subset': subset.totalSubsetRecords,
'aggregate': subset.tableData && subset.tableData.length
}[(pipeline[pipeline.length - 1] || {}).type];
return m(Footer, [
m(ButtonRadio, {
id: 'modeButtonBar',
attrsAll: {style: {margin: '2px', width: 'auto'}, class: 'navbar-left'},
onclick: app.set_mode,
activeSection: mode || 'model',
sections: [{value: 'Model'}, {value: 'Explore'}, {value: 'Manipulate'}],
// attrsButtons: {class: ['btn-sm']}, // if you'd like small buttons (btn-sm should be applied to individual buttons, not the entire component)
attrsButtons: {style: {width: 'auto'}}
}),
m("a#logID[href=somelink][target=_blank]", "Replication"),
m("span[style=color:#337ab7]", " | "),
// dev links...
m("a[href='/dev-raven-links'][target=_blank]", "raven-links"),
m("span[style=color:#337ab7]", " | "),
m("span[style=color:#337ab7]", `TA2: ${TA2_SERVER}`),
m("span[style=color:#337ab7]", " | "),
m("span[style=color:#337ab7]", `TA3TA2 api: ${TA3TA2_API_VERSION}`),
m(Button, {
id: 'datasetConsoleLogUrl',
onclick: async () =>
console.log(await manipulate.buildDatasetUrl(app.disco.find(prob => prob.problem_id === app.selectedProblem)))
}, 'LOG DATASET URL'),
m('div.btn.btn-group', {style: 'float: right; padding: 0px'},
m(Button, {