fix linting

packages/components/nodes/documentloaders/SerpApi/SerpAPI.ts

@@ -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 {
-    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() {
-        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 = {
             label: 'Connect Credential',
             name: 'credential',
             type: 'credential',
             optional: false,
             credentialNames: ['serpApi']
-        };
+        }
         this.inputs = [
             {
                 label: 'Query',
@@ -49,21 +50,21 @@ class SerpAPI_DocumentLoaders implements INode {
                 optional: true,
                 additionalParams: true
             }
-        ];
+        ]
     }
 
     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) {
-            const parsedMetadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata);
+            const parsedMetadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata)
             return docs.map((doc) => {
                 return {
                     ...doc,
@@ -71,12 +72,12 @@ class SerpAPI_DocumentLoaders implements INode {
                         ...doc.metadata,
                         ...parsedMetadata
                     }
-                };
+                }
-            });
+            })
         }
 
-        return docs;
+        return docs
     }
 }
 
-module.exports = { nodeClass: SerpAPI_DocumentLoaders };
+module.exports = { nodeClass: SerpAPI_DocumentLoaders }

packages/server/marketplaces/chatflows/Web Search QnA.json

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