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@ubiquify/core

v0.1.0

Published

Ubiquify core

Downloads

135

Readme

@ubiquify/core

Graph data storage and exchange protocol that is:

  • local-first
  • distributed
  • conflict-free
  • immutable
  • versioned
  • trustless
  • secure

Build

npm run clean
npm install
npm run build

Test

Note: Some of the e2e tests expect an IPFS service accessible on the local network.

Example test environment configuration:

export IPFS_API=/ip4/192.168.1.100/tcp/5001

Populate test data:

npm run ipfs:populate

Execute tests:

npm run test

Storage Providers

The library can persist graph data across technologies and/or providers using a key-value format. The key is the content-identifier of the block, the value is the actual byte array fragment associated with the block. The library provides a memory based implementation, suitable for testing and development.

interface BlockStore {
    put: (block: { cid: any; bytes: Uint8Array }) => Promise<void>
    get: (cid: any) => Promise<Uint8Array>
}

Author

Example creating, updating in parallel and merging changes on a graph structure simulating a file system. Providing a proto-schema is optional.

/**
 * File system proto-schema
 */

enum ObjectTypes {
    FOLDER = 1,
    FILE = 2,
}
enum RlshpTypes {
    CONTAINS = 1,
}
enum PropTypes {
    META = 1,
    DATA = 2,
}
enum KeyTypes {
    NAME = 1,
    CONTENT = 2,
}

/**
 * Chunking alg., codecs, storage
 */
const { chunk } = chunkerFactory(512, compute_chunks)
const linkCodec: LinkCodec = linkCodecFactory()
const valueCodec: ValueCodec = valueCodecFactory()
const blockStore: BlockStore = memoryBlockStoreFactory()
const versionStore: VersionStore = await versionStoreFactory({
    chunk,
    linkCodec,
    valueCodec,
    blockStore,
})
const graphStore = graphStoreFactory({
    chunk,
    linkCodec,
    valueCodec,
    blockStore,
})

/**
 * Build original data set
 */
const graph = new Graph(versionStore, graphStore)

const tx = graph.tx()

await tx.start()

const v1 = tx.addVertex(ObjectTypes.FOLDER)
const v2 = tx.addVertex(ObjectTypes.FOLDER)
const v3 = tx.addVertex(ObjectTypes.FILE)

const e1 = await tx.addEdge(v1, v2, RlshpTypes.CONTAINS)
const e2 = await tx.addEdge(v1, v3, RlshpTypes.CONTAINS)

await tx.addVertexProp(v1, KeyTypes.NAME, 'root-folder', PropTypes.META)
await tx.addVertexProp(v2, KeyTypes.NAME, 'nested-folder', PropTypes.META)
await tx.addVertexProp(v3, KeyTypes.NAME, 'nested-file', PropTypes.META)
await tx.addVertexProp(
    v2,
    KeyTypes.CONTENT,
    'hello world from v2',
    PropTypes.DATA
)
await tx.addVertexProp(
    v3,
    KeyTypes.CONTENT,
    'hello world from v3',
    PropTypes.DATA
)

const { root: original } = await tx.commit({
    comment: 'First draft',
    tags: ['v0.0.1'],
})

Revise

/**
 * Revise original, first user
 */

const graphStore1 = graphStoreFactory({
    chunk,
    linkCodec,
    valueCodec,
    blockStore,
})
const g1 = new Graph(versionStore, graphStore1)

const tx1 = g1.tx()
await tx1.start()
const v10 = await tx1.getVertex(0)
const v11 = tx1.addVertex(ObjectTypes.FILE)
const e11 = await tx1.addEdge(v10, v11, RlshpTypes.CONTAINS)
await tx1.addVertexProp(
    v11,
    KeyTypes.NAME,
    'nested-file-user-1',
    PropTypes.META
)
await tx1.addVertexProp(
    v11,
    KeyTypes.CONTENT,
    'hello world from v11',
    PropTypes.DATA
)

const { root: first } = await tx1.commit({
    comment: 'Revised by first user',
})

/**
 * Revise original, second user
 */
versionStore.checkout(original)

const graphStore2 = graphStoreFactory({
    chunk,
    linkCodec,
    valueCodec,
    blockStore,
})
const g2 = new Graph(versionStore, graphStore2)

const tx2 = g2.tx()
await tx2.start()
const v20 = await tx2.getVertex(0)
const v21 = tx2.addVertex(ObjectTypes.FILE)
const e21 = await tx2.addEdge(v20, v21, RlshpTypes.CONTAINS)
await tx2.addVertexProp(
    v21,
    KeyTypes.NAME,
    'nested-file-user-2',
    PropTypes.META
)
await tx2.addVertexProp(
    v21,
    KeyTypes.CONTENT,
    'hello world from v21',
    PropTypes.DATA
)

const { root: second } = await tx2.commit({
    comment: 'Revised by second user',
})

Merge

/**
 * Merge MultiValueRegistry
 */

const {
    root: mergeRootMvr,
    index: mergeIndexMvr,
    blocks: mergeBlocksMvr,
} = await merge(
    {
        baseRoot: original,
        baseStore: blockStore,
        currentRoot: first,
        currentStore: blockStore,
        otherRoot: second,
        otherStore: blockStore,
    },
    MergePolicyEnum.MultiValueRegistry,
    chunk,
    linkCodec,
    valueCodec
)

const mergedFilesMvr = await query(mergeRootMvr)

assert.strictEqual(mergedFilesMvr.length, 4)
assert.strictEqual(mergedFilesMvr[0].value, 'nested-folder')
assert.strictEqual(mergedFilesMvr[1].value, 'nested-file')
assert.strictEqual(mergedFilesMvr[2].value, 'nested-file-user-2')
assert.strictEqual(mergedFilesMvr[3].value, 'nested-file-user-1')

/**
 * Merge LastWriterWins
 */

const {
    root: mergeRootLww,
    index: mergeIndexLww,
    blocks: mergeBlocksLww,
} = await merge(
    {
        baseRoot: original,
        baseStore: blockStore,
        currentRoot: first,
        currentStore: blockStore,
        otherRoot: second,
        otherStore: blockStore,
    },
    MergePolicyEnum.LastWriterWins,
    chunk,
    linkCodec,
    valueCodec
)

const mergedFilesLww = await query(mergeRootLww)

assert.strictEqual(mergedFilesLww.length, 3)
assert.strictEqual(mergedFilesLww[0].value, 'nested-folder')
assert.strictEqual(mergedFilesLww[1].value, 'nested-file')
assert.strictEqual(mergedFilesLww[2].value, 'nested-file-user-1')

Navigate

Filter the data and extract vertex, edge or property information

const query = async (versionRoot: Link): Promise<Prop[]> => {
    const versionStore: VersionStore = await versionStoreFactory({
        versionRoot,
        chunk,
        linkCodec,
        valueCodec,
        blockStore,
    })
    const graphStore = graphStoreFactory({
        chunk,
        linkCodec,
        valueCodec,
        blockStore,
    })
    const graph = new Graph(versionStore, graphStore)
    const request = new RequestBuilder()
        .add(PathElemType.VERTEX)
        .add(PathElemType.EDGE)
        .add(PathElemType.VERTEX)
        // .propPred(KeyTypes.CONTENT, eq('hello world from v3'))
        .extract(KeyTypes.NAME)
        .maxResults(100)
        .get()

    const vr: Prop[] = []
    for await (const result of navigateVertices(graph, [0], request)) {
        vr.push(result as Prop)
    }
    return vr
}

Extract

Extract coarser data fragments using data templates. Proto-language / syntax still under evaluation, hinting towards GraphQL.

const DATA_TEMPLATE = {
    fileName: {
        $elemType: PathElemType.EXTRACT,
        $type: KeyTypes.NAME,
    },
    includes: {
        $elemType: PathElemType.EDGE,
        $type: RlshpTypes.CONTAINS,
        fileName: {
            $elemType: PathElemType.EXTRACT,
            $type: KeyTypes.NAME,
        },
    },
}

const request = new RequestBuilder()
    .add(PathElemType.VERTEX)
    .add(PathElemType.EDGE)
    .add(PathElemType.VERTEX)
    .template(DATA_TEMPLATE)
    .maxResults(100)
    .get()

const vr: any[] = []
for await (const result of navigateVertices(graph, [0], request)) {
    vr.push(result)
}

Bundle

Bundles are used to optimize data sharing. A bundle is a single large Block containing granular Blocks clustered according to flexible criteria. Currently is possible to create bundles that:

  • make up a complete graph version
  • are associated with a particular fragment of a graph (ie. required to answer a particular query)
  • are associated with a particular commit
  • are associated with the block index of a complete graph version (eg. to perform fast diffs)
  • pack together selected blocks (such derived from diff operations)

See tests for examples.

Trust

Ability to certify the authenticity of the data associated with a particular version by signing the graph root. The author of the data is identified by its public key, stored as a property of the data version as JSON Web Key (JWK).

/**
 * Generate a key pair, in practice this would be done once and persisted
 */
const { publicKey, privateKey } = await subtle.generateKey(
    {
        name: 'RSA-PSS',
        modulusLength: 2048,
        publicExponent: new Uint8Array([1, 0, 1]),
        hash: 'SHA-256',
    },
    true,
    ['sign', 'verify']
)

/**
 * Sign the root when committing
 */
const signer: Signer = signerFactory({ subtle, privateKey, publicKey })

const { root } = await tx.commit({
    comment: 'First draft',
    tags: ['v0.0.1'],
    signer,
})

/**
 * Verify the graph version for authenticity before
 */
const { version } = await versionStore.versionGet()
const trusted = await verify({
    subtle,
    publicKey,
    root: version.root,
    signature: version.details.signature,
})

Secure

Encription at rest. The library provides tools to encrypt the data blocks associated with the sensitive data - graph property values.

/**
 * Encrypt the data
 */
const secrets: Secrets = secretsFactory({ subtle })
const secret: Secret = await secrets.generateSecret()
const cipher: Cipher = cipherFactory({ subtle, secret })

/**
 * Configure the codec to use encryption
 */
const valueCodec: ValueCodec = valueCodecFactory(cipher) // <- encyption specification

/*
 * Share the secret
 */
const jwk = await secrets.exportSecret(secret)
const jwks = JSON.stringify(jwk)

// ... share the jwks securely

/*
 * Import the secret
 */
const jwk2 = JSON.parse(jwks)
const secret2 = await secrets.importSecret(jwk2)
const cipher2: Cipher = cipherFactory({ subtle, secret: secret2 })

/**
 * Configure the codec to use decryption
 */
const valueCodec2: ValueCodec = valueCodecFactory(cipher2) // <- decryption specification

Share

The library provides a set of tools to exchange unencrypted data and history between peers.

See also:

Lists

Similar to graphs, the library can author, revise, merge and navigate lists. A list is a collection of items. An item is a collection of values. Item values are stored as vertex properties.

enum KeyTypes {
    ID = 11,
    NAME = 33,
}
const { chunk } = chunkerFactory(512, compute_chunks)
const linkCodec: LinkCodec = linkCodecFactory()
const valueCodec: ValueCodec = valueCodecFactory()
const blockStore: BlockStore = memoryBlockStoreFactory()
const versionStore: VersionStore = await versionStoreFactory({
    chunk,
    linkCodec,
    valueCodec,
    blockStore,
})
const graphStore = graphStoreFactory({
    chunk,
    linkCodec,
    valueCodec,
    blockStore,
})
const itemList: ItemList = itemListFactory(versionStore, graphStore)
const tx = itemList.tx()
await tx.start()
for (let i = 0; i < 100; i++) {
    const itemValue: ItemValue = new Map<number, any>()
    itemValue.set(KeyTypes.ID, i)
    itemValue.set(KeyTypes.NAME, `item ${i}`)
    await tx.push(itemValue)
}
const { root, index, blocks } = await tx.commit({
    comment: 'First commit',
    tags: ['v0.0.1'],
})
// root: bafkreieiuo4jtrhchzswsoromg5w5q4jv734bpt2xb37nlfwsc2usqipre

The technology is suitable for very large lists. As vertex records have a fixed size, item access by index is translated into access by offset, therefore constant - O(1). Retrieving the length of the list is also constant - O(1).

const len = await itemList.length()
assert.strictEqual(100, len)
const item0 = await itemList.get(0)
assert.strictEqual('item 0', item0.value.get(KeyTypes.NAME))

Range access is performed w/ sequential reads at byte array level.

const range: Item[] = await itemList.range(25, 50) // start index, count
assert.strictEqual(50, range.length)
for (let i = 0; i < range.length; i++) {
    assert.strictEqual(`item ${i + 25}`, range[i].value.get(KeyTypes.NAME))
}

Storage

Licenses

Licensed under either Apache 2.0 or MIT at your option.