improve compute layout, add running raw algorithm

This commit is contained in:
Klaudiusz Dembler 2020-03-16 15:59:56 +01:00
parent 3fecbc4cbf
commit de366ba87d
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5 changed files with 197 additions and 165 deletions

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@ -7,7 +7,8 @@
"react": "^16.12.0",
"react-dom": "^16.12.0",
"react-scripts": "^3.3.0",
"web3": "^1.2.5"
"web3": "^1.2.5",
"prettier": "^1.19.1"
},
"scripts": {
"start": "react-scripts start",

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@ -1,12 +1,13 @@
import React, { useState } from 'react'
import * as Assets from './asset'
import { asset } from './asset'
import { algoAsset, createComputeService, rawAlgoMeta } from './compute-asset'
export default function Compute({ ocean, web3 }) {
const [ddoAsset, setDdoAsset] = useState({ id: '' })
const [ddoAssetId, setDdoAssetId] = useState('')
const [jobStatus, setJobStatus] = useState('')
const [jobId, setJobId] = useState('')
const [agreementId, setAgreementId] = useState('')
const [ddoAlgorithm, setDdoAlgorithm] = useState({ id: '' })
const [ddoAlgorithmId, setDdoAlgorithmId] = useState('')
// publish a dataset and an algorithm
async function publish() {
@ -14,22 +15,20 @@ export default function Compute({ ocean, web3 }) {
const accounts = await ocean.accounts.list()
console.log('Publishing asset.')
const service = await Assets.createComputeService(
const service = await createComputeService(
ocean,
accounts[0],
'0',
'2020-03-10T10:00:00Z'
)
console.log(service)
const ddoAssetNew = await ocean.assets.create(
Assets.getAsset(),
accounts[0],
[service]
)
const ddoAssetNew = await ocean.assets.create(asset, accounts[0], [
service
])
console.log('Asset successfully submitted.')
console.log(ddoAssetNew)
// keep track of this registered asset for consumption later on
setDdoAsset(ddoAssetNew)
setDdoAssetId(ddoAssetNew.id)
alert('Asset successfully submitted.')
} catch (error) {
console.error(error.message)
@ -41,33 +40,30 @@ export default function Compute({ ocean, web3 }) {
const accounts = await ocean.accounts.list()
console.log('Publishing algo.')
const ddoAlgorithmNew = await ocean.assets.create(
Assets.getAlgoAsset(),
accounts[0]
)
const ddoAlgorithmNew = await ocean.assets.create(algoAsset, accounts[0])
console.log(ddoAlgorithmNew)
console.log('Algo asset successfully submitted.')
// keep track of this registered asset for consumption later on
setDdoAlgorithm(ddoAlgorithmNew)
setDdoAlgorithmId(ddoAlgorithmNew.id)
alert('Algorithm successfully submitted.')
} catch (error) {
console.error(error.message)
}
}
// order and start the compute service
async function start() {
async function startCompute(algorithmId, algorithmMeta) {
try {
const accounts = await ocean.accounts.list()
// order the compute service
const agreement = await ocean.compute.order(accounts[0], ddoAsset.id)
const agreement = await ocean.compute.order(accounts[0], ddoAssetId)
setAgreementId(agreement)
// start a compute job
const status = await ocean.compute.start(
accounts[0],
agreement,
ddoAlgorithm.id
algorithmId,
algorithmMeta
)
setJobId(status.jobId)
console.log(status)
@ -77,6 +73,15 @@ export default function Compute({ ocean, web3 }) {
}
}
// order and start the compute service
async function startWithPublishedAlgo() {
return startCompute(ddoAlgorithmId)
}
async function startWithRawAlgo() {
return startCompute(undefined, rawAlgoMeta)
}
async function getStatus() {
try {
const accounts = await ocean.accounts.list()
@ -92,33 +97,60 @@ export default function Compute({ ocean, web3 }) {
// get results
if (!web3) {
return null
}
return (
<>
<h3>Compute</h3>
<button onClick={() => publish()} disabled={!web3}>
1) Publish dataset with compute service
</button>
<button onClick={() => publishalgo()} disabled={!web3}>
2) Publish algorithm
</button>
<button onClick={() => start()} disabled={!web3}>
3)Order and start compute service
</button>
<button onClick={() => getStatus()} disabled={!web3}>
4)Get Job Status
</button>
<hr />
Asset DID:
<input type="text" value={ddoAsset.id} readOnly />
<hr />
Algo DID:
<input type="text" value={ddoAlgorithm.id} readOnly />
<hr />
Job ID:
<input type="text" value={jobId} readOnly />
<hr />
Compute status:
<textarea rows="10" cols="180" value={jobStatus} readOnly />
<ComputeSection>
<button onClick={publish}>Publish dataset with compute service</button>
Asset DID:
<input type="text" value={ddoAssetId} readOnly />
</ComputeSection>
<ComputeSection>
<button onClick={publishalgo}>Publish algorithm</button>
Algo DID:
<input type="text" value={ddoAlgorithmId} readOnly />
</ComputeSection>
<ComputeSection>
<button
onClick={startWithPublishedAlgo}
disabled={!ddoAssetId || !ddoAlgorithmId}
>
Order and start compute service with published algorithm
</button>
<button onClick={startWithRawAlgo} disabled={!ddoAssetId}>
Order and start compute service with raw algorithm
</button>
Job ID:
<input type="text" value={jobId} readOnly />
</ComputeSection>
<ComputeSection>
<button onClick={getStatus} disabled={!jobId}>
Get Job Status
</button>
Compute status:
<textarea rows="20" cols="120" value={jobStatus} readOnly />
</ComputeSection>
</>
)
}
function ComputeSection({ children }) {
return (
<>
<div
style={{
display: 'flex',
flexDirection: 'column',
alignItems: 'center'
}}
>
{children}
</div>
<hr />
</>
)
}

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@ -1,120 +1,52 @@
export function getAsset() {
const asset = {
main: {
name: '10 Monkey Species Small',
dateCreated: '2012-02-01T10:55:11Z',
author: 'Mario',
type: 'dataset',
license: 'CC0: Public Domain',
price: '0',
files: [
{
index: 0,
contentType: 'application/zip',
checksum: '2bf9d229d110d1976cdf85e9f3256c7f',
checksumType: 'MD5',
contentLength: '12057507',
compression: 'zip',
encoding: 'UTF-8',
url:
'https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/assets/training.zip'
},
{
index: 1,
contentType: 'text/txt',
checksum: '354d19c0733c47ef3a6cce5b633116b0',
checksumType: 'MD5',
contentLength: '928',
url:
'https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/assets/monkey_labels.txt'
}
]
},
additionalInformation: {
categories: ['Biology'],
tags: ['image data', 'classification', 'animals'],
description: 'EXAMPLE ONLY ',
copyrightHolder: 'Unknown',
workExample: 'image path, id, label',
links: [
{
name: 'example model',
url:
'https://drive.google.com/open?id=1uuz50RGiAW8YxRcWeQVgQglZpyAebgSM'
},
{
name: 'example code',
type: 'example code',
url:
'https://github.com/slothkong/CNN_classification_10_monkey_species'
}
],
inLanguage: 'en'
}
}
return asset
}
export function getAlgoAsset() {
const algoasset = {
main: {
name: 'My great algo',
dateCreated: '2012-02-01T10:55:11Z',
author: 'Alex',
type: 'algorithm',
algorithm: {
format: 'docker-image',
version: '0.1',
container: {
entrypoint: 'node $ALGO',
image: 'node',
tag: '10'
}
export const asset = {
main: {
name: '10 Monkey Species Small',
dateCreated: '2012-02-01T10:55:11Z',
author: 'Mario',
type: 'dataset',
license: 'CC0: Public Domain',
price: '0',
files: [
{
index: 0,
contentType: 'application/zip',
checksum: '2bf9d229d110d1976cdf85e9f3256c7f',
checksumType: 'MD5',
contentLength: '12057507',
compression: 'zip',
encoding: 'UTF-8',
url:
'https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/assets/training.zip'
},
license: 'CC0: Public Domain',
price: '0',
files: [
{
index: 0,
contentType: 'application/text',
contentLength: '12057507',
compression: 'zip',
encoding: 'UTF-8',
url:
'https://raw.githubusercontent.com/oceanprotocol/test-algorithm/master/javascript/algo.js'
}
]
},
additionalInformation: {
description: 'My super algo '
}
}
return algoasset
}
export async function createComputeService(
ocean,
publisher,
price,
datePublished
) {
const { templates } = ocean.keeper
const serviceAgreementTemplate = await templates.escrowComputeExecutionTemplate.getServiceAgreementTemplate()
const name = 'dataAssetComputingServiceAgreement'
const service = {
type: 'compute',
serviceEndpoint: ocean.brizo.getComputeEndpoint(),
templateId: templates.escrowComputeExecutionTemplate.getId(),
attributes: {
main: {
creator: publisher.getId(),
datePublished,
price,
timeout: 3600,
name
{
index: 1,
contentType: 'text/txt',
checksum: '354d19c0733c47ef3a6cce5b633116b0',
checksumType: 'MD5',
contentLength: '928',
url:
'https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/assets/monkey_labels.txt'
}
]
},
additionalInformation: {
categories: ['Biology'],
tags: ['image data', 'classification', 'animals'],
description: 'EXAMPLE ONLY ',
copyrightHolder: 'Unknown',
workExample: 'image path, id, label',
links: [
{
name: 'example model',
url:
'https://drive.google.com/open?id=1uuz50RGiAW8YxRcWeQVgQglZpyAebgSM'
},
serviceAgreementTemplate
}
{
name: 'example code',
type: 'example code',
url: 'https://github.com/slothkong/CNN_classification_10_monkey_species'
}
],
inLanguage: 'en'
}
return service
}

70
src/compute-asset.js Normal file
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@ -0,0 +1,70 @@
export const algoAsset = {
main: {
name: 'My great algo',
dateCreated: '2012-02-01T10:55:11Z',
author: 'Alex',
type: 'algorithm',
algorithm: {
format: 'docker-image',
version: '0.1',
container: {
entrypoint: 'node $ALGO',
image: 'node',
tag: '10'
}
},
license: 'CC0: Public Domain',
price: '0',
files: [
{
index: 0,
contentType: 'application/text',
contentLength: '12057507',
compression: 'zip',
encoding: 'UTF-8',
url:
'https://raw.githubusercontent.com/oceanprotocol/test-algorithm/master/javascript/algo.js'
}
]
},
additionalInformation: {
description: 'My super algo'
}
}
export const rawAlgoMeta = {
rawcode: `console.log('Hello world'!)`,
format: 'docker-image',
version: '0.1',
container: {
entrypoint: 'node $ALGO',
image: 'node',
tag: '10'
}
}
export async function createComputeService(
ocean,
publisher,
price,
datePublished
) {
const { templates } = ocean.keeper
const serviceAgreementTemplate = await templates.escrowComputeExecutionTemplate.getServiceAgreementTemplate()
const name = 'dataAssetComputingServiceAgreement'
return {
type: 'compute',
serviceEndpoint: ocean.brizo.getComputeEndpoint(),
templateId: templates.escrowComputeExecutionTemplate.getId(),
attributes: {
main: {
creator: publisher.getId(),
datePublished,
price,
timeout: 3600,
name
},
serviceAgreementTemplate
}
}
}

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@ -2,7 +2,7 @@ import React, { Component } from 'react'
import ReactDOM from 'react-dom'
import { Ocean } from '@oceanprotocol/squid'
import Web3 from 'web3'
import * as Assets from './asset'
import { asset } from './asset'
import Compute from './Compute'
let web3
@ -42,10 +42,7 @@ class App extends Component {
async registerAsset() {
try {
const accounts = await this.state.ocean.accounts.list()
const ddo = await this.state.ocean.assets.create(
Assets.getAsset(),
accounts[0]
)
const ddo = await this.state.ocean.assets.create(asset, accounts[0])
console.log('Asset successfully submitted.')
console.log(ddo)
// keep track of this registered asset for consumption later on