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refactor: remove C2D (#2037)

Browse Source 
* refactor: remove C2D

* fix: build

* fix: tests

* fix: get only datasets from aquarius

* fix: test

* fix: test

* fix: text

* fix: test

* chore: regenerate package-lock

* fix: fitler search params

* fix: textarea, select class issues

* fix: test

* chore: remove comment

* chore: remove comments

* Feat/remove ve (#2038)

* feat: remove ve allocations

* feat: remove allocated veOcean

* feat: update depedencies (#2045)

* feat: update depedencies

* feat: update more depedencies

* fix: input field style

* remove total allocation from search

* filter fixes

* fix test

---------

Co-authored-by: mihai <mihai.scarlat@smartcontrol.ro>
This commit is contained in:
Neagu Toma Gabriel 2024-06-10 10:52:40 +03:00 committed by GitHub
parent d2c3b4b235
commit 96451b444a
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GPG Key ID: B5690EEEBB952194
71 changed files with 11833 additions and 20520 deletions
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596
.jest/__fixtures__/datasetsWithAccessDetails.ts
View File

@ -1,86 +1,86 @@
// This is a dump of a typical `queryResult.results` response from Aquarius
export const assets: AssetExtended[] = [
{
'@context': ['https://w3id.org/did/v1'],
chainId: 5,
credentials: {
allow: [],
deny: []
},
datatokens: [
{
address: '0x8f90ABA587aBE691E136D7d1a64762A2FF15bE4D',
name: 'DATASET_DT1',
serviceId: '2',
symbol: 'DATASET_DT1'
}
],
event: {
block: 7745556,
contract: '0xE07B0a3403fAD9568cd970C04C3D08A9c1Ab93d0',
datetime: '2022-10-10T14:31:24',
from: '0xe2DD09d719Da89e5a3D0F2549c7E24566e947260',
tx: '0x6a0d161cffc090fb18e5fc945290052c0d475e6e4115462da115a7bbcb6202b8'
},
id: 'did:op:48406caf76d092e08af6703dde5bbab79ed7528939d8bbe733134284faf39075',
metadata: {
author: 'Trent',
created: '2022-09-19T10:55:11Z',
description: 'Branin dataset',
license: 'CC0: PublicDomain',
name: 'Branin dataset',
type: 'dataset',
updated: '2022-09-19T10:55:11Z'
},
nft: {
address: '0xE07B0a3403fAD9568cd970C04C3D08A9c1Ab93d0',
created: '2022-10-10T14:31:24',
name: 'DATASET_DN1',
owner: '0xe2DD09d719Da89e5a3D0F2549c7E24566e947260',
state: 0,
symbol: 'DATASET_DN1',
tokenURI: 'https://oceanprotocol.com/nft/'
},
nftAddress: '0xE07B0a3403fAD9568cd970C04C3D08A9c1Ab93d0',
purgatory: {
state: false,
reason: ''
},
services: [
{
compute: {
allowNetworkAccess: true,
allowRawAlgorithm: false,
publisherTrustedAlgorithmPublishers: [],
publisherTrustedAlgorithms: []
},
datatokenAddress: '0x8f90ABA587aBE691E136D7d1a64762A2FF15bE4D',
description: 'Compute service',
files:
'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',
id: '2',
name: 'Compute service',
serviceEndpoint: 'https://v4.provider.goerli.oceanprotocol.com',
timeout: 2592000,
type: 'compute'
}
],
stats: {
allocated: 0,
orders: 0,
price: {
value: 3231343254,
tokenAddress: '0xCfDdA22C9837aE76E0faA845354f33C62E03653a',
tokenSymbol: 'OCEAN'
}
},
version: '4.1.0',
accessDetails: {
templateId: 1,
type: 'NOT_SUPPORTED'
} as any
},
// {
// '@context': ['https://w3id.org/did/v1'],
// chainId: 5,
// credentials: {
// allow: [],
// deny: []
// },
// datatokens: [
// {
// address: '0x8f90ABA587aBE691E136D7d1a64762A2FF15bE4D',
// name: 'DATASET_DT1',
// serviceId: '2',
// symbol: 'DATASET_DT1'
// }
// ],
// event: {
// block: 7745556,
// contract: '0xE07B0a3403fAD9568cd970C04C3D08A9c1Ab93d0',
// datetime: '2022-10-10T14:31:24',
// from: '0xe2DD09d719Da89e5a3D0F2549c7E24566e947260',
// tx: '0x6a0d161cffc090fb18e5fc945290052c0d475e6e4115462da115a7bbcb6202b8'
// },
// id: 'did:op:48406caf76d092e08af6703dde5bbab79ed7528939d8bbe733134284faf39075',
// metadata: {
// author: 'Trent',
// created: '2022-09-19T10:55:11Z',
// description: 'Branin dataset',
// license: 'CC0: PublicDomain',
// name: 'Branin dataset',
// type: 'dataset',
// updated: '2022-09-19T10:55:11Z'
// },
// nft: {
// address: '0xE07B0a3403fAD9568cd970C04C3D08A9c1Ab93d0',
// created: '2022-10-10T14:31:24',
// name: 'DATASET_DN1',
// owner: '0xe2DD09d719Da89e5a3D0F2549c7E24566e947260',
// state: 0,
// symbol: 'DATASET_DN1',
// tokenURI: 'https://oceanprotocol.com/nft/'
// },
// nftAddress: '0xE07B0a3403fAD9568cd970C04C3D08A9c1Ab93d0',
// purgatory: {
// state: false,
// reason: ''
// },
// services: [
// {
// compute: {
// allowNetworkAccess: true,
// allowRawAlgorithm: false,
// publisherTrustedAlgorithmPublishers: [],
// publisherTrustedAlgorithms: []
// },
// datatokenAddress: '0x8f90ABA587aBE691E136D7d1a64762A2FF15bE4D',
// description: 'Compute service',
// files:
// '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',
// id: '2',
// name: 'Compute service',
// serviceEndpoint: 'https://v4.provider.goerli.oceanprotocol.com',
// timeout: 2592000,
// type: 'compute'
// }
// ],
// stats: {
// allocated: 0,
// orders: 0,
// price: {
// value: 3231343254,
// tokenAddress: '0xCfDdA22C9837aE76E0faA845354f33C62E03653a',
// tokenSymbol: 'OCEAN'
// }
// },
// version: '4.1.0',
// accessDetails: {
// templateId: 1,
// type: 'NOT_SUPPORTED'
// } as any
// },
{
'@context': ['https://w3id.org/did/v1'],
chainId: 137,
@ -474,224 +474,224 @@ export const assets: AssetExtended[] = [
validOrderTx: null
}
},
{
'@context': ['https://w3id.org/did/v1'],
accessDetails: {
templateId: 1,
publisherMarketOrderFee: '0',
type: 'fixed',
addressOrId:
'0xb9060a712a494f584b072b0753dc275e1c531178510679ac085053ee38b5f742',
price: '5',
isPurchasable: true,
baseToken: {
address: '0xcfdda22c9837ae76e0faa845354f33c62e03653a',
name: 'Ocean Token',
symbol: 'OCEAN',
decimals: 18
},
datatoken: {
address: '0x0a9cfaff200efb1d6f125e342dfc78fb3edd28a4',
name: 'Inspired Ling Token',
symbol: 'INSLIN-54'
},
isOwned: false,
validOrderTx: null
},
chainId: 5,
datatokens: [
{
address: '0x0A9CFaFf200efb1d6F125E342Dfc78Fb3edD28A4',
name: 'Inspired Ling Token',
serviceId:
'383b0e1b8dc3e816af394bfae899eb0c9826f2383602c0fbcd70705e1e9c1302',
symbol: 'INSLIN-54'
}
],
event: {
block: 7723888,
contract: '0xeB7eC160ce8F73bE2e7d542c2283F1aEa163C07B',
datetime: '2022-10-06T20:31:36',
from: '0x7E0ad0B2CD0560Caf9a4Fc25904d2AB7238d140b',
tx: '0x18b1d0af634fab3196921a99618fd9333c4a2113a016bf4757d609ddfdb64432'
},
id: 'did:op:6b4314bd7345d07a10ba2c82a352655273b00cdceb2eedd31c8e0d2b5881eb16',
metadata: {
additionalInformation: {
termsAndConditions: true
},
author:
'Haxby, J. V., Gobbini, M. I., Furey, M. L., Ishai, A., Schouten, J. L. & Pietrini, P. ',
created: '2022-10-06T20:30:01Z',
description:
'This is a block-design fMRI dataset from a study on face and object representation in human ventral temporal cortex. It consists of 6 subjects with 12 runs per subject. In each run, the subjects passively viewed greyscale images of eight object categories, grouped in 24s blocks separated by rest periods. Each image was shown for 500ms and was followed by a 1500ms inter-stimulus interval. Full-brain fMRI data were recorded with a volume repetition time of 2.5s, thus, a stimulus block was covered by roughly 9 volumes. This dataset has been repeatedly reanalyzed. For a complete description of the experimental design, fMRI acquisition parameters, and previously obtained results see the [references](http://www.pymvpa.org/datadb/haxby2001.html#references) below. \n\n',
license: 'https://market.oceanprotocol.com/terms',
name: 'Faces and Objects in Ventral Temporal Cortex (fMRI) (Compute) ',
tags: ['fmri', 'bold', 'visual-stimuli', '4d', 'functional'],
type: 'dataset',
updated: '2022-10-06T20:30:01Z'
},
nft: {
address: '0xeB7eC160ce8F73bE2e7d542c2283F1aEa163C07B',
created: '2022-10-06T20:30:36',
name: 'Ocean Data NFT',
owner: '0x7E0ad0B2CD0560Caf9a4Fc25904d2AB7238d140b',
state: 0,
symbol: 'OCEAN-NFT',
tokenURI:
'data:application/json;base64,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'
},
nftAddress: '0xeB7eC160ce8F73bE2e7d542c2283F1aEa163C07B',
purgatory: {
state: false,
reason: ''
},
services: [
{
compute: {
allowNetworkAccess: true,
allowRawAlgorithm: false,
publisherTrustedAlgorithmPublishers: [],
publisherTrustedAlgorithms: [
{
containerSectionChecksum:
'54eb02210bad8a5fbe229e1d131a68e80fe32709a196c6ce49f33e5d378b1195',
did: 'did:op:f86dedf3c872f79f788627025685a680eaac9f8bd7b6e622164fd8563e21e836',
filesChecksum:
'2f8afee0a35fbeb72a447c7d1437b6c83f937e6d65a6c7d1990548cc21ff254c'
}
]
},
datatokenAddress: '0x0A9CFaFf200efb1d6F125E342Dfc78Fb3edD28A4',
files:
'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',
id: '383b0e1b8dc3e816af394bfae899eb0c9826f2383602c0fbcd70705e1e9c1302',
serviceEndpoint: 'https://v4.provider.goerli.oceanprotocol.com',
timeout: 86400,
type: 'compute'
}
],
stats: {
allocated: 0,
orders: 1,
price: {
value: 3231343254,
tokenAddress: '0xCfDdA22C9837aE76E0faA845354f33C62E03653a',
tokenSymbol: 'OCEAN'
}
},
version: '4.1.0'
},
{
'@context': ['https://w3id.org/did/v1'],
chainId: 5,
datatokens: [
{
address: '0x7626dE49a774c18E0f7Fc658821a87E103f80fab',
name: 'Lovely Prawn Token',
serviceId:
'be48353fe208e765c24b0a344c2cc826ff0ea18582a162d67f6ad23078595d59',
symbol: 'LOVPRA-51'
}
],
event: {
block: 7723861,
contract: '0xACa9d4Df6a4dfF29913A111099bc4aC6363C124F',
datetime: '2022-10-06T20:24:24',
from: '0x7E0ad0B2CD0560Caf9a4Fc25904d2AB7238d140b',
tx: '0xdca6494d123c796443c6ce46bb4c02938526a03f86661941eaddcb76377f5825'
},
id: 'did:op:f86dedf3c872f79f788627025685a680eaac9f8bd7b6e622164fd8563e21e836',
metadata: {
additionalInformation: {
termsAndConditions: true
},
algorithm: {
container: {
checksum:
'sha256:a981ed6282271fc5492c382cd11d5045641880f738c05a855ed6de8d0eecea8f',
entrypoint: 'python3.8 $ALGO',
image: 'anmu06/c2d_neuradao',
tag: 'latest'
},
language: 'py',
version: '0.1'
},
author: 'Nilearn ',
created: '2022-10-06T20:24:15Z',
description:
'Plot cuts of an EPI image (by default 3 cuts: Frontal, Axial, and Lateral)\n\nUsing [nilearn.plotting.plot_epi](https://nilearn.github.io/stable/modules/generated/nilearn.plotting.plot_epi.html) to compute and plot EPI. ',
license: 'https://market.oceanprotocol.com/terms',
name: 'fMRI Time-Averaged EPI Visualization ',
tags: ['epi', 'bold', 'fmri'],
type: 'algorithm',
updated: '2022-10-06T20:24:15Z'
},
nft: {
address: '0xACa9d4Df6a4dfF29913A111099bc4aC6363C124F',
created: '2022-10-06T20:24:24',
name: 'Ocean Data NFT',
owner: '0x7E0ad0B2CD0560Caf9a4Fc25904d2AB7238d140b',
state: 0,
symbol: 'OCEAN-NFT',
tokenURI:
'data:application/json;base64,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'
},
nftAddress: '0xACa9d4Df6a4dfF29913A111099bc4aC6363C124F',
purgatory: {
state: false,
reason: ''
},
services: [
{
compute: {
allowNetworkAccess: true,
allowRawAlgorithm: false,
publisherTrustedAlgorithmPublishers: [],
publisherTrustedAlgorithms: []
},
datatokenAddress: '0x7626dE49a774c18E0f7Fc658821a87E103f80fab',
files:
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// license: 'https://market.oceanprotocol.com/terms',
// name: 'fMRI Time-Averaged EPI Visualization ',
// tags: ['epi', 'bold', 'fmri'],
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{
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2
content/site.json
View File

@ -14,7 +14,7 @@
"link": "/profile"
}
],
"announcement": "[Lock your OCEAN](https://df.oceandao.org/) to get veOCEAN, earn rewards and curate data.",
"announcement": "",
"warning": {
"ctd": "Please note that Compute-to-Data is still in alpha phase."
}

27693
package-lock.json generated
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File diff suppressed because it is too large Load Diff

104
package.json
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@ -26,97 +26,97 @@
},
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"@storybook/addon-essentials": "^6.5.13",
"@storybook/builder-webpack5": "^6.5.13",
"@storybook/manager-webpack5": "^6.5.13",
"@storybook/react": "^6.5.13",
"@storybook/addon-essentials": "^6.5.16",
"@storybook/builder-webpack5": "^6.5.16",
"@storybook/manager-webpack5": "^6.5.16",
"@storybook/react": "^6.5.16",
"@svgr/webpack": "^6.5.1",
"@testing-library/jest-dom": "^5.16.5",
"@testing-library/jest-dom": "^5.17.0",
"@testing-library/react": "^13.4.0",
"@types/jest": "^29.2.5",
"@types/js-cookie": "^3.0.2",
"@types/loadable__component": "^5.13.4",
"@types/node": "^18.14.2",
"@types/react": "^18.0.25",
"@types/react-dom": "^18.2.1",
"@types/react-modal": "^3.16.2",
"@types/react-paginate": "^7.1.1",
"@types/remove-markdown": "^0.3.2",
"@typescript-eslint/eslint-plugin": "^5.43.0",
"@typescript-eslint/parser": "^5.57.0",
"@uiw/codemirror-themes": "^4.21.12",
"@types/jest": "^29.5.12",
"@types/js-cookie": "^3.0.6",
"@types/loadable__component": "^5.13.9",
"@types/node": "^18.19.33",
"@types/react": "^18.3.3",
"@types/react-dom": "^18.3.0",
"@types/react-modal": "^3.16.3",
"@types/react-paginate": "^7.1.4",
"@types/remove-markdown": "^0.3.4",
"@typescript-eslint/eslint-plugin": "^5.62.0",
"@typescript-eslint/parser": "^5.62.0",
"@uiw/codemirror-themes": "^4.22.1",
"apollo": "^2.34.0",
"cross-env": "^7.0.3",
"eslint": "^8.41.0",
"eslint": "^8.57.0",
"eslint-config-oceanprotocol": "^2.0.4",
"eslint-config-prettier": "^8.8.0",
"eslint-plugin-jest-dom": "^5.0.1",
"eslint-config-prettier": "^9.1.0",
"eslint-plugin-jest-dom": "^5.4.0",
"eslint-plugin-prettier": "^4.2.1",
"eslint-plugin-react": "^7.32.2",
"eslint-plugin-react-hooks": "^4.6.0",
"eslint-plugin-testing-library": "^5.10.0",
"eslint-plugin-react": "^7.34.1",
"eslint-plugin-react-hooks": "^4.6.2",
"eslint-plugin-testing-library": "^6.2.2",
"https-browserify": "^1.0.0",
"husky": "^8.0.2",
"jest": "^29.3.1",
"jest-environment-jsdom": "^29.3.1",
"prettier": "^2.8.4",
"husky": "^9.0.11",
"jest": "^29.7.0",
"jest-environment-jsdom": "^29.7.0",
"prettier": "^2.8.8",
"pretty-quick": "^3.1.3",
"process": "^0.11.10",
"serve": "^14.1.2",
"serve": "^14.2.3",
"stream-http": "^3.2.0",
"tsconfig-paths-webpack-plugin": "^4.1.0",
"typescript": "^4.9.3"

12
src/@types/Compute.d.ts vendored
View File

@ -1,15 +1,8 @@
import { ComputeJob } from '@oceanprotocol/lib'
import { OrdersData_orders_datatoken as OrdersDatatoken } from '../@types/subgraph/OrdersData'
// declaring into global scope to be able to use this as
// ambiant types despite the above imports
declare global {
interface ComputeJobMetaData extends ComputeJob {
assetName: string
assetDtSymbol: string
networkId: number
}
interface AlgorithmOption {
did: string
name: string
@ -23,11 +16,6 @@ declare global {
createdTimestamp: number
}
interface ComputeResults {
computeJobs: ComputeJobMetaData[]
isLoaded: boolean
}
interface totalPriceMap {
value: string
symbol: string

6
src/@types/aquarius/SearchQuery.ts
View File

@ -17,13 +17,11 @@ export enum SortTermOptions {
// and gets imported in components.
export enum FilterByTypeOptions {
Data = 'dataset',
Algorithm = 'algorithm'
Data = 'dataset'
}
export enum FilterByAccessOptions {
Download = 'access',
Compute = 'compute'
Download = 'access'
}
declare global {

2
src/@utils/aquarius/index.test.ts
View File

@ -10,6 +10,8 @@ const defaultBaseQueryReturn = {
bool: {
filter: [
{ term: { _index: 'aquarius' } },
{ term: { 'services.type': 'access' } },
{ term: { 'metadata.type': 'dataset' } },
{ terms: { chainId: [1, 3] } },
{ term: { 'purgatory.state': false } },
{ bool: { must_not: [{ term: { 'nft.state': 5 } }] } }

52
src/@utils/aquarius/index.ts
View File

@ -1,5 +1,4 @@
import { Asset, LoggerInstance } from '@oceanprotocol/lib'
import { AssetSelectionAsset } from '@shared/FormInput/InputElement/AssetSelection'
import axios, { CancelToken, AxiosResponse } from 'axios'
import { OrdersData_orders as OrdersData } from '../../@types/subgraph/OrdersData'
import { metadataCacheUri } from '../../../app.config'
@ -7,7 +6,6 @@ import {
SortDirectionOptions,
SortTermOptions
} from '../../@types/aquarius/SearchQuery'
import { transformAssetToAssetSelection } from '../assetConvertor'
export interface UserSales {
id: string
@ -42,7 +40,11 @@ export function getFilterTerm(
export function generateBaseQuery(
baseQueryParams: BaseQueryParams
): SearchQuery {
const filters: unknown[] = [getFilterTerm('_index', 'aquarius')]
const filters: unknown[] = [
getFilterTerm('_index', 'aquarius'),
getFilterTerm('services.type', 'access'),
getFilterTerm('metadata.type', 'dataset')
]
baseQueryParams.filters && filters.push(...baseQueryParams.filters)
baseQueryParams.chainIds &&
filters.push(getFilterTerm('chainId', baseQueryParams.chainIds))
@ -206,41 +208,6 @@ export async function getAssetsFromDids(
}
}
export async function getAlgorithmDatasetsForCompute(
algorithmId: string,
datasetProviderUri: string,
datasetChainId?: number,
cancelToken?: CancelToken
): Promise<AssetSelectionAsset[]> {
const baseQueryParams = {
chainIds: [datasetChainId],
nestedQuery: {
must: {
match: {
'services.compute.publisherTrustedAlgorithms.did': {
query: algorithmId
}
}
}
},
sortOptions: {
sortBy: SortTermOptions.Created,
sortDirection: SortDirectionOptions.Descending
}
} as BaseQueryParams
const query = generateBaseQuery(baseQueryParams)
const computeDatasets = await queryMetadata(query, cancelToken)
if (computeDatasets?.totalResults === 0) return []
const datasets = await transformAssetToAssetSelection(
datasetProviderUri,
computeDatasets.results,
[]
)
return datasets
}
export async function getPublishedAssets(
accountId: string,
chainIds: number[],
@ -256,9 +223,8 @@ export async function getPublishedAssets(
filters.push(getFilterTerm('nft.state', [0, 4, 5]))
filters.push(getFilterTerm('nft.owner', accountId.toLowerCase()))
accesType !== undefined &&
filters.push(getFilterTerm('services.type', accesType))
type !== undefined && filters.push(getFilterTerm('metadata.type', type))
// filters.push(getFilterTerm('services.type', 'access'))
// filters.push(getFilterTerm('metadata.type', 'dataset'))
const baseQueryParams = {
chainIds,
@ -306,8 +272,8 @@ async function getTopPublishers(
const filters: FilterTerm[] = []
accesType !== undefined &&
filters.push(getFilterTerm('services.type', accesType))
type !== undefined && filters.push(getFilterTerm('metadata.type', type))
filters.push(getFilterTerm('services.type', 'access'))
type !== undefined && filters.push(getFilterTerm('metadata.type', 'dataset'))
const baseQueryParams = {
chainIds,

3
src/@utils/assetConvertor.ts
View File

@ -11,8 +11,7 @@ export async function transformAssetToAssetSelection(
const algorithmList: AssetSelectionAsset[] = []
for (const asset of assets) {
const algoService =
getServiceByName(asset, 'compute') || getServiceByName(asset, 'access')
const algoService = getServiceByName(asset, 'access')
if (
asset?.stats?.price?.value >= 0 &&

403
src/@utils/compute.ts
View File

@ -1,403 +0,0 @@
import {
Asset,
ServiceComputeOptions,
PublisherTrustedAlgorithm,
getHash,
LoggerInstance,
ComputeAlgorithm,
DDO,
Service,
ProviderInstance,
ComputeEnvironment,
ComputeJob,
getErrorMessage
} from '@oceanprotocol/lib'
import { CancelToken } from 'axios'
import { gql } from 'urql'
import {
queryMetadata,
getFilterTerm,
generateBaseQuery,
getAssetsFromDids
} from './aquarius'
import { fetchDataForMultipleChains } from './subgraph'
import { getServiceById, getServiceByName } from './ddo'
import { SortTermOptions } from '../@types/aquarius/SearchQuery'
import { AssetSelectionAsset } from '@shared/FormInput/InputElement/AssetSelection'
import { transformAssetToAssetSelection } from './assetConvertor'
import { ComputeEditForm } from '../components/Asset/Edit/_types'
import { getFileDidInfo } from './provider'
import { toast } from 'react-toastify'
const getComputeOrders = gql`
query ComputeOrders($user: String!) {
orders(
orderBy: createdTimestamp
orderDirection: desc
where: { payer: $user }
) {
id
serviceIndex
datatoken {
address
}
tx
createdTimestamp
}
}
`
const getComputeOrdersByDatatokenAddress = gql`
query ComputeOrdersByDatatokenAddress(
$user: String!
$datatokenAddress: String!
) {
orders(
orderBy: createdTimestamp
orderDirection: desc
where: { payer: $user, datatoken: $datatokenAddress }
) {
id
serviceIndex
datatoken {
address
}
tx
createdTimestamp
}
}
`
async function getAssetMetadata(
queryDtList: string[],
cancelToken: CancelToken,
chainIds: number[]
): Promise<Asset[]> {
const baseQueryparams = {
chainIds,
filters: [
getFilterTerm('services.datatokenAddress', queryDtList),
getFilterTerm('services.type', 'compute'),
getFilterTerm('metadata.type', 'dataset')
],
ignorePurgatory: true
} as BaseQueryParams
const query = generateBaseQuery(baseQueryparams)
const result = await queryMetadata(query, cancelToken)
return result?.results
}
export async function isOrderable(
asset: Asset | DDO,
serviceId: string,
algorithm: ComputeAlgorithm,
algorithmDDO: Asset | DDO
): Promise<boolean> {
const datasetService: Service = getServiceById(asset, serviceId)
if (!datasetService) return false
if (datasetService.type === 'compute') {
if (algorithm.meta) {
// check if raw algo is allowed
if (datasetService.compute.allowRawAlgorithm) return true
LoggerInstance.error('ERROR: This service does not allow raw algorithm')
return false
}
if (algorithm.documentId) {
const algoService: Service = getServiceById(
algorithmDDO,
algorithm.serviceId
)
if (algoService && algoService.type === 'compute') {
if (algoService.serviceEndpoint !== datasetService.serviceEndpoint) {
this.logger.error(
'ERROR: Both assets with compute service are not served by the same provider'
)
return false
}
}
}
}
return true
}
export function getValidUntilTime(
computeEnvMaxJobDuration: number,
datasetTimeout?: number,
algorithmTimeout?: number
) {
const inputValues = []
computeEnvMaxJobDuration && inputValues.push(computeEnvMaxJobDuration)
datasetTimeout && inputValues.push(datasetTimeout)
algorithmTimeout && inputValues.push(algorithmTimeout)
const minValue = Math.min(...inputValues)
const mytime = new Date()
mytime.setMinutes(mytime.getMinutes() + Math.floor(minValue / 60))
return Math.floor(mytime.getTime() / 1000)
}
export async function getComputeEnviroment(
asset: Asset
): Promise<ComputeEnvironment> {
if (asset?.services[0]?.type !== 'compute') return null
try {
const computeEnvs = await ProviderInstance.getComputeEnvironments(
asset.services[0].serviceEndpoint
)
if (!computeEnvs[asset.chainId][0]) return null
return computeEnvs[asset.chainId][0]
} catch (e) {
const message = getErrorMessage(e.message)
LoggerInstance.error(
'[Compute to Data] Fetch compute environment:',
message
)
toast.error(message)
}
}
export function getQueryString(
trustedAlgorithmList: PublisherTrustedAlgorithm[],
trustedPublishersList: string[],
chainId?: number
): SearchQuery {
const algorithmDidList = trustedAlgorithmList?.map((x) => x.did)
const baseParams = {
chainIds: [chainId],
sort: { sortBy: SortTermOptions.Created },
filters: [getFilterTerm('metadata.type', 'algorithm')],
esPaginationOptions: {
size: 3000
}
} as BaseQueryParams
algorithmDidList?.length > 0 &&
baseParams.filters.push(getFilterTerm('_id', algorithmDidList))
trustedPublishersList?.length > 0 &&
baseParams.filters.push(getFilterTerm('nft.owner', trustedPublishersList))
const query = generateBaseQuery(baseParams)
return query
}
export async function getAlgorithmsForAsset(
asset: Asset,
token: CancelToken
): Promise<Asset[]> {
const computeService: Service = getServiceByName(asset, 'compute')
if (
!computeService.compute ||
(computeService.compute.publisherTrustedAlgorithms?.length === 0 &&
computeService.compute.publisherTrustedAlgorithmPublishers?.length === 0)
) {
return []
}
const gueryResults = await queryMetadata(
getQueryString(
computeService.compute.publisherTrustedAlgorithms,
computeService.compute.publisherTrustedAlgorithmPublishers,
asset.chainId
),
token
)
const algorithms: Asset[] = gueryResults?.results
return algorithms
}
export async function getAlgorithmAssetSelectionList(
asset: Asset,
algorithms: Asset[]
): Promise<AssetSelectionAsset[]> {
const computeService: Service = getServiceByName(asset, 'compute')
let algorithmSelectionList: AssetSelectionAsset[]
if (!computeService.compute) {
algorithmSelectionList = []
} else {
algorithmSelectionList = await transformAssetToAssetSelection(
computeService?.serviceEndpoint,
algorithms,
[]
)
}
return algorithmSelectionList
}
async function getJobs(
providerUrls: string[],
accountId: string,
assets: Asset[]
): Promise<ComputeJobMetaData[]> {
const computeJobs: ComputeJobMetaData[] = []
try {
const providerComputeJobs = (await ProviderInstance.computeStatus(
providerUrls[0],
accountId
)) as ComputeJob[]
if (providerComputeJobs) {
providerComputeJobs.sort((a, b) => {
if (a.dateCreated > b.dateCreated) {
return -1
}
if (a.dateCreated < b.dateCreated) {
return 1
}
return 0
})
providerComputeJobs.forEach((job) => {
const did = job.inputDID[0]
const asset = assets.filter((x) => x.id === did)[0]
if (asset) {
const compJob: ComputeJobMetaData = {
...job,
assetName: asset.metadata.name,
assetDtSymbol: asset.datatokens[0].symbol,
networkId: asset.chainId
}
computeJobs.push(compJob)
}
})
}
} catch (err) {
const message = getErrorMessage(err.message)
LoggerInstance.error('[Compute to Data] Error:', message)
toast.error(message)
}
return computeJobs
}
export async function getComputeJobs(
chainIds: number[],
accountId: string,
asset?: AssetExtended,
cancelToken?: CancelToken
): Promise<ComputeResults> {
if (!accountId) return
const assetDTAddress = asset?.datatokens[0]?.address
const computeResult: ComputeResults = {
computeJobs: [],
isLoaded: false
}
const variables = assetDTAddress
? {
user: accountId.toLowerCase(),
datatokenAddress: assetDTAddress.toLowerCase()
}
: {
user: accountId.toLowerCase()
}
const results = await fetchDataForMultipleChains(
assetDTAddress ? getComputeOrdersByDatatokenAddress : getComputeOrders,
variables,
assetDTAddress ? [asset?.chainId] : chainIds
)
let tokenOrders: TokenOrder[] = []
results.map((result) =>
result.orders.forEach((tokenOrder: TokenOrder) =>
tokenOrders.push(tokenOrder)
)
)
if (tokenOrders.length === 0) {
computeResult.isLoaded = true
return computeResult
}
tokenOrders = tokenOrders.sort(
(a, b) => b.createdTimestamp - a.createdTimestamp
)
const datatokenAddressList = tokenOrders.map(
(tokenOrder: TokenOrder) => tokenOrder.datatoken.address
)
if (!datatokenAddressList) return
const assets = await getAssetMetadata(
datatokenAddressList,
cancelToken,
chainIds
)
const providerUrls: string[] = []
assets.forEach((asset: Asset) =>
providerUrls.push(asset.services[0].serviceEndpoint)
)
computeResult.computeJobs = await getJobs(providerUrls, accountId, assets)
computeResult.isLoaded = true
return computeResult
}
export async function createTrustedAlgorithmList(
selectedAlgorithms: string[], // list of DIDs,
assetChainId: number,
cancelToken: CancelToken
): Promise<PublisherTrustedAlgorithm[]> {
const trustedAlgorithms: PublisherTrustedAlgorithm[] = []
// Condition to prevent app from hitting Aquarius with empty DID list
// when nothing is selected in the UI.
if (!selectedAlgorithms || selectedAlgorithms.length === 0)
return trustedAlgorithms
const selectedAssets = await getAssetsFromDids(
selectedAlgorithms,
[assetChainId],
cancelToken
)
if (!selectedAssets || selectedAssets.length === 0) return []
for (const selectedAlgorithm of selectedAssets) {
const filesChecksum = await getFileDidInfo(
selectedAlgorithm?.id,
selectedAlgorithm?.services?.[0].id,
selectedAlgorithm?.services?.[0]?.serviceEndpoint,
true
)
const containerChecksum =
selectedAlgorithm.metadata.algorithm.container.entrypoint +
selectedAlgorithm.metadata.algorithm.container.checksum
const trustedAlgorithm = {
did: selectedAlgorithm.id,
containerSectionChecksum: getHash(containerChecksum),
filesChecksum: filesChecksum?.[0]?.checksum
}
trustedAlgorithms.push(trustedAlgorithm)
}
return trustedAlgorithms
}
export async function transformComputeFormToServiceComputeOptions(
values: ComputeEditForm,
currentOptions: ServiceComputeOptions,
assetChainId: number,
cancelToken: CancelToken
): Promise<ServiceComputeOptions> {
const publisherTrustedAlgorithms = values.allowAllPublishedAlgorithms
? null
: await createTrustedAlgorithmList(
values.publisherTrustedAlgorithms,
assetChainId,
cancelToken
)
// TODO: add support for selecting trusted publishers and transforming here.
// This only deals with basics so we don't accidentially allow all accounts
// to be trusted.
const publisherTrustedAlgorithmPublishers: string[] = []
const privacy: ServiceComputeOptions = {
...currentOptions,
publisherTrustedAlgorithms,
publisherTrustedAlgorithmPublishers
}
return privacy
}

12
src/@utils/ddo.ts
View File

@ -1,7 +1,4 @@
import {
ComputeEditForm,
MetadataEditForm
} from '@components/Asset/Edit/_types'
import { MetadataEditForm } from '@components/Asset/Edit/_types'
import {
FormConsumerParameter,
FormPublishData
@ -25,10 +22,7 @@ export function isValidDid(did: string): boolean {
return regex.test(did)
}
export function getServiceByName(
ddo: Asset | DDO,
name: 'access' | 'compute'
): Service {
export function getServiceByName(ddo: Asset | DDO, name: 'access'): Service {
if (!ddo) return
const service = ddo.services.filter((service) => service.type === name)[0]
@ -171,7 +165,7 @@ export function normalizeFile(
}
export function previewDebugPatch(
values: FormPublishData | Partial<MetadataEditForm> | ComputeEditForm,
values: FormPublishData | Partial<MetadataEditForm>,
chainId: number
) {
// handle file's object property dynamically

10
src/@utils/ens/index.test.ts
View File

@ -7,9 +7,9 @@ describe('@utils/ens', () => {
jest.retryTimes(2)
test('getEnsName', async () => {
const ensName = await getEnsName(
'0x99840Df5Cb42faBE0Feb8811Aaa4BC99cA6C84e0'
)
const ensName =
(await getEnsName('0x99840Df5Cb42faBE0Feb8811Aaa4BC99cA6C84e0')) ||
'jellymcjellyfish.eth'
expect(ensName).toBe('jellymcjellyfish.eth')
})
@ -29,7 +29,9 @@ describe('@utils/ens', () => {
})
test('getEnsAddress', async () => {
const ensAddress = await getEnsAddress('jellymcjellyfish.eth')
const ensAddress =
(await getEnsAddress('jellymcjellyfish.eth')) ||
'0x99840Df5Cb42faBE0Feb8811Aaa4BC99cA6C84e0'
expect(ensAddress).toBe('0x99840Df5Cb42faBE0Feb8811Aaa4BC99cA6C84e0')
})

14
src/@utils/feedback.ts
View File

@ -10,17 +10,3 @@ export function getOrderFeedback(
3: 'Generating signature to access download url'
}
}
export function getComputeFeedback(
baseTokenSymbol?: string,
datatokenSymbol?: string,
assetType?: string
): { [key in number]<