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import { h, Component } from 'preact'
import { bindActionCreators } from 'redux'
import { connect } from 'react-redux'
import * as util from '../../util'
import * as samplernnActions from './samplernn.actions'
import actions from '../../actions'
import DatasetForm from '../../dataset/dataset.form'
import NewDatasetForm from '../../dataset/dataset.new'
import { FileList, FileRow } from '../../common/fileList.component'
import Loading from '../../common/loading.component'
const samplernnModule = {
name: 'samplernn',
datatype: 'audio',
}
class SampleRNNDatasets extends Component {
constructor(props){
super(props)
this.pickFile = this.pickFile.bind(this)
}
componentWillMount(){
const id = this.props.id
console.log('load dataset:', id, this.props.id)
const { match, samplernn, actions } = this.props
if (id === 'new') return
if (id) {
if (parseInt(id)) localStorage.setItem('samplernn.last_id', id)
if (! samplernn.folder || samplernn.folder.id !== id) {
actions.load_directories(id)
}
}
}
pickFile(file){
console.log('pick', file)
}
onDeleteFile(file){
const yes = confirm('Are you sure you want to delete this file?')
if (yes) {
actions.file.destroy(file)
}
}
render(){
const { samplernn, folder, match, history } = this.props
if (samplernn.loading) {
return <Loading progress={samplernn.progress} />
}
if (!samplernn.data.folders.length) {
console.log('no folders, redirect to /new')
return history.push('/samplernn/new/')
}
if (!folder || !folder.name) return
return (
<div class='rows params datasets'>
<div class='row row-heading dataset'>
<div class='col'>input</div>
<div class='col'>status</div>
<div class='col'>checkpoint</div>
<div class='col'>output</div>
</div>
{this.renderGroups()}
</div>
)
}
renderGroups(){
const { samplernn, folder, runner, onPickDataset, onPickFile, datasetActions } = this.props
const { datasetLookup, fileLookup } = samplernn.data
const { mapFn, sortFn } = util.sort.orderByFn('date desc')
const moduleOnCPU = runner && runner.cpu.task && runner.cpu.task.module === samplernnModule.name
const moduleOnGPU = runner && runner.gpu.task && runner.gpu.task.module === samplernnModule.name
const datasets = folder.datasets.map(name => datasetLookup[name]).map(mapFn).sort(sortFn).map(pair => {
const dataset = pair[1]
let status = ''
let isProcessing = false, isFetching = false
if (moduleOnGPU && runner.gpu.task.dataset === dataset) {
status = util.gerund(runner.gpu.task.activity)
isProcessing = true
} else if (moduleOnCPU && runner.cpu.task.activity === 'fetch' && runner.cpu.task.opt.file_id === dataset.input[0]) {
isProcessing = true
isFetching = true
}
return (
<div key={dataset.name} className='row dataset' onClick={() => onPickDataset && onPickDataset(dataset)}>
{this.props.beforeRow && this.props.beforeRow(dataset)}
<div className='col'>
{!!dataset.input.length &&
<FileList
files={dataset.input.map(id => fileLookup[id])}
className='input_files'
fileListClassName=''
rowClassName='input_file'
fields={'name date size delete'}
onClick={onPickFile}
onDelete={(file) => this.onDeleteFile(file)}
/>
}
</div>
<div className={[
'col', 'quiet',
(dataset.isBuilt ? 'built' : 'not_built'),
(isProcessing ? 'processing': 'not_processing')
].join(' ')}>
{this.props.datasetActions && this.props.datasetActions(dataset, isFetching, isProcessing)}
{status}
</div>
<div className='col checkpoint'>
{!!dataset.checkpoints.length &&
<FileRow
file={dataset.checkpoints[0]}
fields={'name date epoch'}
className='row checkpoint'
/>
}
</div>
<div className='col'>
{!!dataset.output.length &&
<FileList
files={dataset.output.map(id => fileLookup[id])}
orderBy='epoch desc'
fields={'name date epoch size'}
onPickFile={onPickFile}
onDelete={(file) => this.onDeleteFile(file)}
/>
}
</div>
{this.props.afterRow && this.props.afterRow(dataset)}
</div>
)
})
return datasets
}
}
const mapStateToProps = state => ({
samplernn: state.module.samplernn,
runner: state.system.runner,
task: state.task,
})
const mapDispatchToProps = (dispatch, ownProps) => ({
actions: bindActionCreators(samplernnActions, dispatch),
})
export default connect(mapStateToProps, mapDispatchToProps)(SampleRNNDatasets)
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