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import socket from '../../socket'
import types from '../../types'
import actions from '../../actions'
export const load_directories = (id) => (dispatch) => {
// console.log(actions)
Promise.all([
actions.folder.index({ module: 'samplernn' }),
actions.file.index({ module: 'samplernn' }),
actions.task.index({ module: 'samplernn' }),
actions.socket.list_directory({ module: 'samplernn', dir: 'datasets' }),
actions.socket.list_directory({ module: 'samplernn', dir: 'results' }),
actions.socket.list_directory({ module: 'samplernn', dir: 'output' }),
load_loss()(dispatch),
]).then(res => {
// console.log(res)
const [folders, files, tasks, datasets, results, output, lossReport] = res
const unsortedFolder = {
id: 0,
name: 'unsorted',
datasets: [],
}
const datasetLookup = {}
const get_dataset = (name, folder=unsortedFolder, date) => {
const dataset = datasetLookup[name] || empty_dataset(name, folder)
if (date) {
dataset.date = dataset.date ? Math.max(+new Date(date), dataset.date) : +new Date(date)
}
return dataset
}
const empty_dataset = (name, folder=unsortedFolder) => {
const dataset = {
name,
input: [],
checkpoints: [],
output: [],
}
datasetLookup[dataset.name] = dataset
folder.datasets.push(dataset)
return dataset
}
// take all of the folders and put them in a lookup
const folderLookup = folders.reduce((folderLookup, folder) => {
folderLookup[folder.id] = { id: folder.id, name: folder.name, folder, datasets: [] }
folder.datasets = []
return folderLookup
}, {
unsorted: unsortedFolder
})
// prepare the files by splitting into two groups
const generatedFiles = files.filter(file => file.generated)
const ungeneratedFiles = files.filter(file => !file.generated)
// build the initial dataset lookup table using the ungenerated files
ungeneratedFiles.reduce((datasetLookup, file) => {
if (! file.name) {
file.name = (file.opt || {}).token || file.url
}
const name = (file.name || 'unsorted').split('.')[0]
const dataset = get_dataset(name, folderLookup[file.folder_id], unsortedFolder, file.date)
dataset.input.push(file)
return datasetLookup
}, datasetLookup)
// go over the generated files and add addl datasets (if the files were deleted)
generatedFiles.map(file => {
const pair = file.name.split('.')[0].split('-')
const dataset = get_dataset(pair[0], folderLookup[file.folder_id], unsortedFolder, file.date)
dataset.output.push(file)
file.epoch = file.epoch || pair[1]
})
const flatDatasets = datasets.filter(s => s.name.match(/(wav|aiff?|flac|mp3)$/) && !s.dir)
const builtDatasets = datasets.filter(s => s.dir)
builtDatasets.forEach(dir => {
const dataset = get_dataset(dir.name)
dataset.isBuilt = true
})
flatDatasets.forEach(file => {
const name = file.name.split('.')[0]
const dataset = get_dataset(name, unsortedFolder, file.date)
file.persisted = false
dataset.input.push(file)
})
// exp:coccokit_3-frame_sizes:8,2-n_rnn:2-dataset:coccokit_3
const checkpoints = results.filter(s => s.dir).map(s => {
const checkpoint = s.name
.split('-')
.map(s => s.split(':'))
.filter(b => b.length && b[1])
.reduce((a,b) => (a[b[0]] = b[1]) && a, {})
checkpoint.name = checkpoint.name || checkpoint.dataset || checkpoint.exp
checkpoint.date = s.date
checkpoint.dir = s
checkpoint.persisted = false
const dataset = get_dataset(checkpoint.name, unsortedFolder, checkpoint.date)
const loss = lossReport[checkpoint.name]
if (loss) {
dataset.epoch = checkpoint.epoch = loss.length
checkpoint.training_loss = loss
}
dataset.checkpoints.push(checkpoint)
return checkpoint
})
output.map(file => {
const pair = file.name.split('.')[0].split('-')
const dataset = get_dataset(pair[0], unsortedFolder, file.date)
file.persisted = false
file.epoch = parseInt(file.epoch || pair[1].replace(/^\D+/, '')) || 0
dataset.epoch = Math.max(file.epoch, dataset.epoch || 0)
dataset.output.push(file)
})
dispatch({
type: types.samplernn.init,
data: {
folderLookup,
folders, files,
checkpoints,
builtDatasets,
output,
},
})
if (id) {
let folder = id === 'unsorted' ? folderLookup.unsorted : folderLookup[id]
dispatch({
type: types.samplernn.set_folder,
folder: folder,
})
}
}).catch(e => {
console.error(e)
})
}
export const load_loss = () => dispatch => {
return actions.socket.run_script({ module: 'samplernn', activity: 'report' })
.then(report => {
const lossReport = {}
report.stdout.split('\n\n').filter(a=>!!a).forEach(data => {
const [ name, ...lines ] = data.split('\n')
lossReport[name] = lines
.map(s =>
s.split('\t').reduce((a,s) => {
const b = s.split(': ')
a[b[0]] = b[1]
return a
}, {})
)
// console.log(loss[name])
})
dispatch({
type: types.samplernn.load_loss,
lossReport
})
return lossReport
})
}
export const set_folder = (folder) => { types.samplernn.set_folder, folder }
export const fetch_url = (url) => (dispatch) => {
console.log(url)
actions.task.start_task({
activity: 'fetch',
module: 'samplernn',
dataset: 'test',
epochs: 1,
opt: { url }
}, { preempt: true, watch: true })
}
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