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import { h, Component } from 'preact'
import { bindActionCreators } from 'redux'
import { connect } from 'react-redux'
import moment from 'moment/min/moment.min'
import util from '../../../util'
import * as pix2wavActions from '../pix2wav.actions'
import * as pix2wavTasks from '../pix2wav.tasks'
import {
Loading, Progress,
Group, Param, FileUpload, TextInput, Button, Slider,
} from '../../../common'
import * as datasetActions from '../../../dataset/dataset.actions'
import * as wav2pixActions from '../../../audio/wav2pix'
import * as pix2wavPlayer from '../../../audio/pix2wav'
import pix2wavModule from '../pix2wav.module'
const date_stamp = () => moment().format("_YYYYMMDD_HHmm")
class SpectrogramUpload extends Component {
constructor(props){
super(props)
this.state = {
file: null,
pcm: null,
name: "",
datasetName: "",
frames: [],
frame_start: 0,
max: 1000,
preview_count: 8*4,
frame_step: wav2pixActions.FRAME_STEP,
}
const audioElement = document.createElement('audio')
audioElement.addEventListener('loadedmetadata', () => {
const duration = audioElement.duration
const total_frame_count = Math.floor((duration * 44100 - wav2pixActions.FRAME_LENGTH) / this.state.frame_step)
this.setState({
duration,
max: Math.min(this.state.max, total_frame_count, 1000),
})
})
this.audioElement = audioElement
}
pickFile(file){
let name = file.name.split('.')[0]
.replace(/\s+/g, '_')
.replace(/-/g, '_')
.replace(/_+/g, '_')
this.setState({
file,
name: name + date_stamp(),
datasetName: name,
pcm: ''
}, () => {
this.rebuildFrames()
})
this.audioElement.src = URL.createObjectURL(file)
}
rebuildFrames(){
const { file, pcm, frame_step, frame_start, preview_count } = this.state
this.props.wav2pix.renderFrames(pcm || file, { frame_start, frame_step, max: preview_count })
.then(data => {
console.log('got frames', data.frames.length)
this.setState({
...this.state,
frames: data.frames,
pcm: data.pcm,
})
})
}
buildZip(){
const { pcm, file, max, frame_step, frame_start } = this.state
this.props.wav2pix.buildZip(this.state.name, pcm || file, { frame_start, frame_step, max })
.then(({ zip, filename, count }) => {
this.props.datasetActions.uploadFile(
this.props.module,
this.props.folder,
zip,
filename,
{ count, max, frame_step, frame_size: wav2pixActions.FRAME_LENGTH / 44100 }
)
})
}
playFrame(i){
return () => {
const frame = this.state.frames[i]
pix2wavPlayer.play(frame)
}
}
render(){
// loading={pix2wav.loading}
// progress={pix2wav.progress}
// id={pix2wav.folder_id}
// module={pix2wavModule}
// data={pix2wav.data}
// folder={folder}
const { file, frames, preview_count } = this.state
const canvases = []
for (let i = 0, _len = preview_count; i < _len; i++) {
canvases.push(<canvas key={i} onClick={this.playFrame(i)} />)
}
return (
<div className='row'>
<div className='col spectrogramBuilder'>
<Group title='Spectrogram Builder'>
<p>
{"Convert your sounds into spectrograms. "}
{"Sound files can be WAV, MP3, AIFF, or FLAC. "}
</p>
<FileUpload
title='Choose a sound file'
accept='audio/*'
onUpload={file => this.pickFile(file)}
/>
{file && this.renderMetadata(file)}
</Group>
</div>
<div ref={(c) => { this.canvases = c }} className='thumbs' id='pix2wav_canvases'>
{canvases}
</div>
</div>
)
}
renderMetadata(file){
const { duration, preview_count } = this.state
const size = util.hush_size(file.size)
const total_frame_count = Math.floor((duration * 44100 - wav2pixActions.FRAME_LENGTH) / this.state.frame_step)
const frame_size = Math.round(wav2pixActions.FRAME_LENGTH / 44100 * 1000) + ' ms.'
const frame_step = Math.round(this.state.frame_step / 44100 * 1000) + ' ms.'
return (
<div className='fileMetadata'>
<Group title='Metadata'>
<Param title='Name'>{file.name}</Param>
<Param title='Type'>{file.type}</Param>
<Param title='Size'><span className={size[0]}>{size[1]}</span></Param>
<Param title='Date'>{moment(file.lastModifiedDate).format("YYYY-MM-DD h:mm a")}</Param>
<Param title='Duration'>{Math.floor(duration) + ' s.'}</Param>
<br />
<Param title='Frames'>{total_frame_count}</Param>
<Param title='Frame Size'>{frame_size}</Param>
<Param title='Frame Step'>{frame_step}</Param>
<Param title='FFT Size'>{wav2pixActions.spectrum.fft_size}</Param>
<br />
<Param title='Status'>{this.props.pix2wav.status}</Param>
<br />
</Group>
<Group title='Data settings'>
<TextInput
title='Dataset name'
onChange={e => this.setState({ name: e.target.value })}
value={this.state.name}
/>
<Slider
name='Starting Frame'
min={0} max={1} type='float'
value={this.state.frame_start}
defaultValue={0}
onChange={frame_start => {
this.setState({
frame_start
}, () => {
this.rebuildFrames()
})
}}
/>
<Slider
name='No. Frames'
min={10} max={Math.min(total_frame_count, 1000)} type='int'
value={this.state.max}
defaultValue={Math.min(total_frame_count, 300)}
onChange={max => this.setState({ max })}
/>
<Slider
name='Frame step'
min={10} max={20000} type='int'
value={this.state.frame_step}
defaultValue={wav2pixActions.FRAME_STEP}
onChange={frame_step => {
const total_frame_count = Math.floor((duration * 44100 - wav2pixActions.FRAME_LENGTH) / frame_step)
this.setState({
name: this.state.datasetName + '_step_' + frame_step + date_stamp(),
frame_step,
max: Math.min(this.state.max, total_frame_count)
}, () => {
this.rebuildFrames()
})
}}
/>
<Button
onClick={() => this.buildZip()}
>Upload Frames</Button>
</Group>
<Progress />
</div>
)
}
componentDidUpdate(){
(this.state.frames || []).map((frame, i) => {
const canvas = this.canvases.children[i]
const ctx = canvas.getContext('2d-lodpi')
canvas.width = frame.canvas.width
canvas.height = frame.canvas.height
ctx.drawImage(frame.canvas, 0, 0)
})
}
}
const mapStateToProps = state => ({
pix2wav: state.module.pix2wav,
upload: state.upload,
})
const mapDispatchToProps = (dispatch, ownProps) => ({
datasetActions: bindActionCreators(datasetActions, dispatch),
actions: bindActionCreators(pix2wavActions, dispatch),
remote: bindActionCreators(pix2wavTasks, dispatch),
wav2pix: bindActionCreators(wav2pixActions, dispatch),
})
export default connect(mapStateToProps, mapDispatchToProps)(SpectrogramUpload)
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