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fix linting

This commit is contained in:
Hamzah Abdulfattah 2023-08-20 01:43:35 +01:00
parent 3b0c5b0c0d
commit 939daff0a1
2 changed files with 52 additions and 77 deletions
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83
packages/components/nodes/documentloaders/SerpApi/SerpAPI.ts
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@ -1,35 +1,36 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'; import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { TextSplitter } from 'langchain/text_splitter'; import { TextSplitter } from 'langchain/text_splitter'
import { SerpAPILoader } from 'langchain/document_loaders/web/serpapi';import { getCredentialData, getCredentialParam } from '../../../src'; import { SerpAPILoader } from 'langchain/document_loaders/web/serpapi'
import { getCredentialData, getCredentialParam } from '../../../src'
class SerpAPI_DocumentLoaders implements INode { class SerpAPI_DocumentLoaders implements INode {
label: string; label: string
name: string; name: string
version: number; version: number
description: string; description: string
type: string; type: string
icon: string; icon: string
category: string; category: string
baseClasses: string[]; baseClasses: string[]
credential: INodeParams; credential: INodeParams
inputs: INodeParams[]; inputs: INodeParams[]
constructor() { constructor() {
this.label = 'SerpApi For Web Search'; this.label = 'SerpApi For Web Search'
this.name = 'serpApi'; this.name = 'serpApi'
this.version = 1.0; this.version = 1.0
this.type = 'Document'; this.type = 'Document'
this.icon = 'serp.png'; this.icon = 'serp.png'
this.category = 'Document Loaders'; this.category = 'Document Loaders'
this.description = 'Load and process data from web search results'; this.description = 'Load and process data from web search results'
this.baseClasses = [this.type]; this.baseClasses = [this.type]
this.credential = { this.credential = {
label: 'Connect Credential', label: 'Connect Credential',
name: 'credential', name: 'credential',
type: 'credential', type: 'credential',
optional: false, optional: false,
credentialNames: ['serpApi'] credentialNames: ['serpApi']
}; }
this.inputs = [ this.inputs = [
{ {
label: 'Query', label: 'Query',
@ -49,21 +50,21 @@ class SerpAPI_DocumentLoaders implements INode {
optional: true, optional: true,
additionalParams: true additionalParams: true
} }
]; ]
} }
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> { async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const textSplitter = nodeData.inputs?.textSplitter as TextSplitter; const textSplitter = nodeData.inputs?.textSplitter as TextSplitter
const query = nodeData.inputs?.query as string; const query = nodeData.inputs?.query as string
const metadata = nodeData.inputs?.metadata; const metadata = nodeData.inputs?.metadata
const credentialData = await getCredentialData(nodeData.credential ?? '', options); const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const serpApiKey = getCredentialParam('serpApiKey', credentialData, nodeData); const serpApiKey = getCredentialParam('serpApiKey', credentialData, nodeData)
const loader = new SerpAPILoader({ q: query, apiKey: serpApiKey }); const loader = new SerpAPILoader({ q: query, apiKey: serpApiKey })
const docs = textSplitter ? await loader.loadAndSplit() : await loader.load(); const docs = textSplitter ? await loader.loadAndSplit() : await loader.load()
if (metadata) { if (metadata) {
const parsedMetadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata); const parsedMetadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata)
return docs.map((doc) => { return docs.map((doc) => {
return { return {
...doc, ...doc,
@ -71,12 +72,12 @@ class SerpAPI_DocumentLoaders implements INode {
...doc.metadata, ...doc.metadata,
...parsedMetadata ...parsedMetadata
} }
}; }
}); })
} }
return docs; return docs
} }
} }
module.exports = { nodeClass: SerpAPI_DocumentLoaders }; module.exports = { nodeClass: SerpAPI_DocumentLoaders }

46
packages/server/marketplaces/chatflows/Web Search QnA.json
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@ -15,12 +15,7 @@
"version": 1, "version": 1,
"name": "chatOpenAI", "name": "chatOpenAI",
"type": "ChatOpenAI", "type": "ChatOpenAI",
"baseClasses": [ "baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
"ChatOpenAI",
"BaseChatModel",
"BaseLanguageModel",
"Runnable"
],
"category": "Chat Models", "category": "Chat Models",
"description": "Wrapper around OpenAI large language models that use the Chat endpoint", "description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [ "inputParams": [
@ -28,9 +23,7 @@
"label": "Connect Credential", "label": "Connect Credential",
"name": "credential", "name": "credential",
"type": "credential", "type": "credential",
"credentialNames": [ "credentialNames": ["openAIApi"],
"openAIApi"
],
"id": "chatOpenAI_0-input-credential-credential" "id": "chatOpenAI_0-input-credential-credential"
}, },
{ {
@ -191,11 +184,7 @@
"version": 1, "version": 1,
"name": "conversationalRetrievalQAChain", "name": "conversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain", "type": "ConversationalRetrievalQAChain",
"baseClasses": [ "baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "Runnable"],
"ConversationalRetrievalQAChain",
"BaseChain",
"Runnable"
],
"category": "Chains", "category": "Chains",
"description": "Document QA - built on RetrievalQAChain to provide a chat history component", "description": "Document QA - built on RetrievalQAChain to provide a chat history component",
"inputParams": [ "inputParams": [
@ -305,10 +294,7 @@
"version": 1, "version": 1,
"name": "openAIEmbeddings", "name": "openAIEmbeddings",
"type": "OpenAIEmbeddings", "type": "OpenAIEmbeddings",
"baseClasses": [ "baseClasses": ["OpenAIEmbeddings", "Embeddings"],
"OpenAIEmbeddings",
"Embeddings"
],
"category": "Embeddings", "category": "Embeddings",
"description": "OpenAI API to generate embeddings for a given text", "description": "OpenAI API to generate embeddings for a given text",
"inputParams": [ "inputParams": [
@ -316,9 +302,7 @@
"label": "Connect Credential", "label": "Connect Credential",
"name": "credential", "name": "credential",
"type": "credential", "type": "credential",
"credentialNames": [ "credentialNames": ["openAIApi"],
"openAIApi"
],
"id": "openAIEmbeddings_0-input-credential-credential" "id": "openAIEmbeddings_0-input-credential-credential"
}, },
{ {
@ -394,11 +378,7 @@
"version": 1, "version": 1,
"name": "memoryVectorStore", "name": "memoryVectorStore",
"type": "Memory", "type": "Memory",
"baseClasses": [ "baseClasses": ["Memory", "VectorStoreRetriever", "BaseRetriever"],
"Memory",
"VectorStoreRetriever",
"BaseRetriever"
],
"category": "Vector Stores", "category": "Vector Stores",
"description": "In-memory vectorstore that stores embeddings and does an exact, linear search for the most similar embeddings.", "description": "In-memory vectorstore that stores embeddings and does an exact, linear search for the most similar embeddings.",
"inputParams": [ "inputParams": [
@ -428,9 +408,7 @@
} }
], ],
"inputs": { "inputs": {
"document": [ "document": ["{{serpApi_2.data.instance}}"],
"{{serpApi_2.data.instance}}"
],
"embeddings": "{{openAIEmbeddings_0.data.instance}}", "embeddings": "{{openAIEmbeddings_0.data.instance}}",
"topK": "" "topK": ""
}, },
@ -483,9 +461,7 @@
"version": 1, "version": 1,
"name": "serpApi", "name": "serpApi",
"type": "Document", "type": "Document",
"baseClasses": [ "baseClasses": ["Document"],
"Document"
],
"category": "Document Loaders", "category": "Document Loaders",
"description": "Load and process data from web search results", "description": "Load and process data from web search results",
"inputParams": [ "inputParams": [
@ -494,9 +470,7 @@
"name": "credential", "name": "credential",
"type": "credential", "type": "credential",
"optional": false, "optional": false,
"credentialNames": [ "credentialNames": ["serpApi"],
"serpApi"
],
"id": "serpApi_2-input-credential-credential" "id": "serpApi_2-input-credential-credential"
}, },
{ {
@ -593,4 +567,4 @@
} }
} }
] ]
} }