Merge branch 'main' into feature/ChatGPT-Plugin

This commit is contained in:
Henry
2023-04-19 10:29:00 +01:00
9 changed files with 367 additions and 4 deletions
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import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { SqlDatabaseChain } from 'langchain/chains'
import { getBaseClasses } from '../../../src/utils'
import { DataSource } from 'typeorm'
import { SqlDatabase } from 'langchain/sql_db'
import { BaseLLM } from 'langchain/llms/base'
class SqlDatabaseChain_Chains implements INode {
label: string
name: string
type: string
icon: string
category: string
baseClasses: string[]
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Sql Database Chain'
this.name = 'sqlDatabaseChain'
this.type = 'SqlDatabaseChain'
this.icon = 'sqlchain.svg'
this.category = 'Chains'
this.description = 'Answer questions over a SQL database'
this.baseClasses = [this.type, ...getBaseClasses(SqlDatabaseChain)]
this.inputs = [
{
label: 'LLM',
name: 'llm',
type: 'BaseLLM'
},
{
label: 'Database',
name: 'database',
type: 'options',
options: [
{
label: 'SQlite',
name: 'sqlite'
}
],
default: 'sqlite'
},
{
label: 'Database File Path',
name: 'dbFilePath',
type: 'string',
placeholder: 'C:/Users/chinook.db'
}
]
}
async init(nodeData: INodeData): Promise<any> {
const databaseType = nodeData.inputs?.database
const llm = nodeData.inputs?.llm as BaseLLM
const dbFilePath = nodeData.inputs?.dbFilePath
const datasource = new DataSource({
type: databaseType,
database: dbFilePath
})
const db = await SqlDatabase.fromDataSourceParams({
appDataSource: datasource
})
const chain = new SqlDatabaseChain({
llm,
database: db
})
return chain
}
async run(nodeData: INodeData, input: string): Promise<string> {
const chain = nodeData.instance as SqlDatabaseChain
const res = await chain.run(input)
return res
}
}
module.exports = { nodeClass: SqlDatabaseChain_Chains }
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<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-sql" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
<path stroke="none" d="M0 0h24v24H0z" fill="none"></path>
<path d="M12 8a2 2 0 0 1 2 2v4a2 2 0 1 1 -4 0v-4a2 2 0 0 1 2 -2z"></path>
<path d="M17 8v8h4"></path>
<path d="M13 15l1 1"></path>
<path d="M3 15a1 1 0 0 0 1 1h2a1 1 0 0 0 1 -1v-2a1 1 0 0 0 -1 -1h-2a1 1 0 0 1 -1 -1v-2a1 1 0 0 1 1 -1h2a1 1 0 0 1 1 1"></path>
</svg>

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import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { TextSplitter } from 'langchain/text_splitter'
import { CheerioWebBaseLoader } from 'langchain/document_loaders/web/cheerio'
class Cheerio_DocumentLoaders implements INode {
label: string
name: string
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Cheerio Web Scraper'
this.name = 'cheerioWebScraper'
this.type = 'Document'
this.icon = 'cheerio.svg'
this.category = 'Document Loaders'
this.description = `Load data from webpages`
this.baseClasses = [this.type]
this.inputs = [
{
label: 'URL',
name: 'url',
type: 'string'
},
{
label: 'Text Splitter',
name: 'textSplitter',
type: 'TextSplitter',
optional: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
const textSplitter = nodeData.inputs?.textSplitter as TextSplitter
let url = nodeData.inputs?.url as string
var urlPattern = new RegExp(
'^(https?:\\/\\/)?' + // validate protocol
'((([a-z\\d]([a-z\\d-]*[a-z\\d])*)\\.)+[a-z]{2,}|' + // validate domain name
'((\\d{1,3}\\.){3}\\d{1,3}))' + // validate OR ip (v4) address
'(\\:\\d+)?(\\/[-a-z\\d%_.~+]*)*' + // validate port and path
'(\\?[;&a-z\\d%_.~+=-]*)?' + // validate query string
'(\\#[-a-z\\d_]*)?$',
'i'
) // validate fragment locator
const loader = new CheerioWebBaseLoader(urlPattern.test(url.trim()) ? url.trim() : '')
if (textSplitter) {
const docs = await loader.loadAndSplit(textSplitter)
return docs
} else {
const docs = await loader.load()
return docs
}
}
}
module.exports = { nodeClass: Cheerio_DocumentLoaders }
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<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-circle-letter-c" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
<path stroke="none" d="M0 0h24v24H0z" fill="none"></path>
<path d="M12 12m-9 0a9 9 0 1 0 18 0a9 9 0 1 0 -18 0"></path>
<path d="M14 10a2 2 0 1 0 -4 0v4a2 2 0 1 0 4 0"></path>
</svg>

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import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { CohereEmbeddings } from 'langchain/embeddings/cohere'
class CohereEmbedding_Embeddings implements INode {
label: string
name: string
type: string
icon: string
category: string
description: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Cohere Embeddings'
this.name = 'cohereEmbeddings'
this.type = 'CohereEmbeddings'
this.icon = 'cohere.png'
this.category = 'Embeddings'
this.description = 'Cohere API to generate embeddings for a given text'
this.baseClasses = [this.type, ...getBaseClasses(CohereEmbeddings)]
this.inputs = [
{
label: 'Cohere API Key',
name: 'cohereApiKey',
type: 'password'
}
]
}
async init(nodeData: INodeData): Promise<any> {
const apiKey = nodeData.inputs?.cohereApiKey as string
const model = new CohereEmbeddings({ apiKey })
return model
}
}
module.exports = { nodeClass: CohereEmbedding_Embeddings }
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