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refactor: Migrate NodeConnectionType to const object type (no-changelog) (#14078)

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Co-authored-by: कारतोफ्फेलस्क्रिप्ट™ <aditya@netroy.in>
This commit is contained in:
Alex Grozav
2025-03-21 14:01:26 +02:00
committed by GitHub
parent 7e8179b848
commit 8215e0b59f
703 changed files with 3104 additions and 3018 deletions
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14
packages/@n8n/nodes-langchain/nodes/vector_store/VectorStoreInMemoryInsert/VectorStoreInMemoryInsert.node.ts
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@@ -2,7 +2,7 @@
import type { Embeddings } from '@langchain/core/embeddings';
import type { Document } from 'langchain/document';
import {
NodeConnectionType,
NodeConnectionTypes,
type INodeExecutionData,
type IExecuteFunctions,
type INodeType,
@@ -42,21 +42,21 @@ export class VectorStoreInMemoryInsert implements INodeType {
},
// eslint-disable-next-line n8n-nodes-base/node-class-description-inputs-wrong-regular-node
inputs: [
NodeConnectionType.Main,
NodeConnectionTypes.Main,
{
displayName: 'Document',
maxConnections: 1,
type: NodeConnectionType.AiDocument,
type: NodeConnectionTypes.AiDocument,
required: true,
},
{
displayName: 'Embedding',
maxConnections: 1,
type: NodeConnectionType.AiEmbedding,
type: NodeConnectionTypes.AiEmbedding,
required: true,
},
],
outputs: [NodeConnectionType.Main],
outputs: [NodeConnectionTypes.Main],
properties: [
{
displayName:
@@ -86,13 +86,13 @@ export class VectorStoreInMemoryInsert implements INodeType {
async execute(this: IExecuteFunctions): Promise<INodeExecutionData[][]> {
const items = this.getInputData(0);
const embeddings = (await this.getInputConnectionData(
NodeConnectionType.AiEmbedding,
NodeConnectionTypes.AiEmbedding,
0,
)) as Embeddings;
const memoryKey = this.getNodeParameter('memoryKey', 0) as string;
const clearStore = this.getNodeParameter('clearStore', 0) as boolean;
const documentInput = (await this.getInputConnectionData(NodeConnectionType.AiDocument, 0)) as
const documentInput = (await this.getInputConnectionData(NodeConnectionTypes.AiDocument, 0)) as
| N8nJsonLoader
| Array<Document<Record<string, unknown>>>;

8
packages/@n8n/nodes-langchain/nodes/vector_store/VectorStoreInMemoryLoad/VectorStoreInMemoryLoad.node.ts
View File

@@ -1,7 +1,7 @@
/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
import type { Embeddings } from '@langchain/core/embeddings';
import {
NodeConnectionType,
NodeConnectionTypes,
type INodeType,
type INodeTypeDescription,
type ISupplyDataFunctions,
@@ -43,11 +43,11 @@ export class VectorStoreInMemoryLoad implements INodeType {
{
displayName: 'Embedding',
maxConnections: 1,
type: NodeConnectionType.AiEmbedding,
type: NodeConnectionTypes.AiEmbedding,
required: true,
},
],
outputs: [NodeConnectionType.AiVectorStore],
outputs: [NodeConnectionTypes.AiVectorStore],
outputNames: ['Vector Store'],
properties: [
{
@@ -63,7 +63,7 @@ export class VectorStoreInMemoryLoad implements INodeType {
async supplyData(this: ISupplyDataFunctions, itemIndex: number): Promise<SupplyData> {
const embeddings = (await this.getInputConnectionData(
NodeConnectionType.AiEmbedding,
NodeConnectionTypes.AiEmbedding,
itemIndex,
)) as Embeddings;

14
packages/@n8n/nodes-langchain/nodes/vector_store/VectorStorePineconeInsert/VectorStorePineconeInsert.node.ts
View File

@@ -7,7 +7,7 @@ import {
type INodeType,
type INodeTypeDescription,
type INodeExecutionData,
NodeConnectionType,
NodeConnectionTypes,
} from 'n8n-workflow';
import type { N8nJsonLoader } from '@utils/N8nJsonLoader';
@@ -51,21 +51,21 @@ export class VectorStorePineconeInsert implements INodeType {
},
],
inputs: [
NodeConnectionType.Main,
NodeConnectionTypes.Main,
{
displayName: 'Document',
maxConnections: 1,
type: NodeConnectionType.AiDocument,
type: NodeConnectionTypes.AiDocument,
required: true,
},
{
displayName: 'Embedding',
maxConnections: 1,
type: NodeConnectionType.AiEmbedding,
type: NodeConnectionTypes.AiEmbedding,
required: true,
},
],
outputs: [NodeConnectionType.Main],
outputs: [NodeConnectionTypes.Main],
properties: [
pineconeIndexRLC,
{
@@ -106,12 +106,12 @@ export class VectorStorePineconeInsert implements INodeType {
const credentials = await this.getCredentials('pineconeApi');
const documentInput = (await this.getInputConnectionData(NodeConnectionType.AiDocument, 0)) as
const documentInput = (await this.getInputConnectionData(NodeConnectionTypes.AiDocument, 0)) as
| N8nJsonLoader
| Array<Document<Record<string, unknown>>>;
const embeddings = (await this.getInputConnectionData(
NodeConnectionType.AiEmbedding,
NodeConnectionTypes.AiEmbedding,
0,
)) as Embeddings;

8
packages/@n8n/nodes-langchain/nodes/vector_store/VectorStorePineconeLoad/VectorStorePineconeLoad.node.ts
View File

@@ -3,7 +3,7 @@ import type { PineconeStoreParams } from '@langchain/pinecone';
import { PineconeStore } from '@langchain/pinecone';
import { Pinecone } from '@pinecone-database/pinecone';
import {
NodeConnectionType,
NodeConnectionTypes,
type INodeType,
type INodeTypeDescription,
type ISupplyDataFunctions,
@@ -54,11 +54,11 @@ export class VectorStorePineconeLoad implements INodeType {
{
displayName: 'Embedding',
maxConnections: 1,
type: NodeConnectionType.AiEmbedding,
type: NodeConnectionTypes.AiEmbedding,
required: true,
},
],
outputs: [NodeConnectionType.AiVectorStore],
outputs: [NodeConnectionTypes.AiVectorStore],
outputNames: ['Vector Store'],
properties: [
pineconeIndexRLC,
@@ -95,7 +95,7 @@ export class VectorStorePineconeLoad implements INodeType {
const credentials = await this.getCredentials('pineconeApi');
const embeddings = (await this.getInputConnectionData(
NodeConnectionType.AiEmbedding,
NodeConnectionTypes.AiEmbedding,
itemIndex,
)) as Embeddings;

14
packages/@n8n/nodes-langchain/nodes/vector_store/VectorStoreSupabaseInsert/VectorStoreSupabaseInsert.node.ts
View File

@@ -7,7 +7,7 @@ import {
type INodeType,
type INodeTypeDescription,
type INodeExecutionData,
NodeConnectionType,
NodeConnectionTypes,
} from 'n8n-workflow';
import type { N8nJsonLoader } from '@utils/N8nJsonLoader';
@@ -51,21 +51,21 @@ export class VectorStoreSupabaseInsert implements INodeType {
},
],
inputs: [
NodeConnectionType.Main,
NodeConnectionTypes.Main,
{
displayName: 'Document',
maxConnections: 1,
type: NodeConnectionType.AiDocument,
type: NodeConnectionTypes.AiDocument,
required: true,
},
{
displayName: 'Embedding',
maxConnections: 1,
type: NodeConnectionType.AiEmbedding,
type: NodeConnectionTypes.AiEmbedding,
required: true,
},
],
outputs: [NodeConnectionType.Main],
outputs: [NodeConnectionTypes.Main],
properties: [
{
displayName:
@@ -102,12 +102,12 @@ export class VectorStoreSupabaseInsert implements INodeType {
const queryName = this.getNodeParameter('queryName', 0) as string;
const credentials = await this.getCredentials('supabaseApi');
const documentInput = (await this.getInputConnectionData(NodeConnectionType.AiDocument, 0)) as
const documentInput = (await this.getInputConnectionData(NodeConnectionTypes.AiDocument, 0)) as
| N8nJsonLoader
| Array<Document<Record<string, unknown>>>;
const embeddings = (await this.getInputConnectionData(
NodeConnectionType.AiEmbedding,
NodeConnectionTypes.AiEmbedding,
0,
)) as Embeddings;
const client = createClient(credentials.host as string, credentials.serviceRole as string);

8
packages/@n8n/nodes-langchain/nodes/vector_store/VectorStoreSupabaseLoad/VectorStoreSupabaseLoad.node.ts
View File

@@ -7,7 +7,7 @@ import {
type INodeTypeDescription,
type ISupplyDataFunctions,
type SupplyData,
NodeConnectionType,
NodeConnectionTypes,
} from 'n8n-workflow';
import { getMetadataFiltersValues } from '@utils/helpers';
@@ -54,11 +54,11 @@ export class VectorStoreSupabaseLoad implements INodeType {
{
displayName: 'Embedding',
maxConnections: 1,
type: NodeConnectionType.AiEmbedding,
type: NodeConnectionTypes.AiEmbedding,
required: true,
},
],
outputs: [NodeConnectionType.AiVectorStore],
outputs: [NodeConnectionTypes.AiVectorStore],
outputNames: ['Vector Store'],
properties: [
supabaseTableNameRLC,
@@ -93,7 +93,7 @@ export class VectorStoreSupabaseLoad implements INodeType {
const credentials = await this.getCredentials('supabaseApi');
const embeddings = (await this.getInputConnectionData(
NodeConnectionType.AiEmbedding,
NodeConnectionTypes.AiEmbedding,
0,
)) as Embeddings;

14
packages/@n8n/nodes-langchain/nodes/vector_store/VectorStoreZepInsert/VectorStoreZepInsert.node.ts
View File

@@ -6,7 +6,7 @@ import {
type INodeType,
type INodeTypeDescription,
type INodeExecutionData,
NodeConnectionType,
NodeConnectionTypes,
} from 'n8n-workflow';
import type { N8nJsonLoader } from '@utils/N8nJsonLoader';
@@ -47,21 +47,21 @@ export class VectorStoreZepInsert implements INodeType {
},
],
inputs: [
NodeConnectionType.Main,
NodeConnectionTypes.Main,
{
displayName: 'Document',
maxConnections: 1,
type: NodeConnectionType.AiDocument,
type: NodeConnectionTypes.AiDocument,
required: true,
},
{
displayName: 'Embedding',
maxConnections: 1,
type: NodeConnectionType.AiEmbedding,
type: NodeConnectionTypes.AiEmbedding,
required: true,
},
],
outputs: [NodeConnectionType.Main],
outputs: [NodeConnectionTypes.Main],
properties: [
{
displayName: 'Collection Name',
@@ -117,12 +117,12 @@ export class VectorStoreZepInsert implements INodeType {
apiUrl: string;
}>('zepApi');
const documentInput = (await this.getInputConnectionData(NodeConnectionType.AiDocument, 0)) as
const documentInput = (await this.getInputConnectionData(NodeConnectionTypes.AiDocument, 0)) as
| N8nJsonLoader
| Array<Document<Record<string, unknown>>>;
const embeddings = (await this.getInputConnectionData(
NodeConnectionType.AiEmbedding,
NodeConnectionTypes.AiEmbedding,
0,
)) as Embeddings;

8
packages/@n8n/nodes-langchain/nodes/vector_store/VectorStoreZepLoad/VectorStoreZepLoad.node.ts
View File

@@ -2,7 +2,7 @@ import type { IZepConfig } from '@langchain/community/vectorstores/zep';
import { ZepVectorStore } from '@langchain/community/vectorstores/zep';
import type { Embeddings } from '@langchain/core/embeddings';
import {
NodeConnectionType,
NodeConnectionTypes,
type INodeType,
type INodeTypeDescription,
type ISupplyDataFunctions,
@@ -50,11 +50,11 @@ export class VectorStoreZepLoad implements INodeType {
{
displayName: 'Embedding',
maxConnections: 1,
type: NodeConnectionType.AiEmbedding,
type: NodeConnectionTypes.AiEmbedding,
required: true,
},
],
outputs: [NodeConnectionType.AiVectorStore],
outputs: [NodeConnectionTypes.AiVectorStore],
outputNames: ['Vector Store'],
properties: [
{
@@ -99,7 +99,7 @@ export class VectorStoreZepLoad implements INodeType {
apiUrl: string;
}>('zepApi');
const embeddings = (await this.getInputConnectionData(
NodeConnectionType.AiEmbedding,
NodeConnectionTypes.AiEmbedding,
0,
)) as Embeddings;

6
packages/@n8n/nodes-langchain/nodes/vector_store/shared/createVectorStoreNode/__tests__/utils.test.ts
View File

@@ -1,6 +1,6 @@
import type { VectorStore } from '@langchain/core/vectorstores';
import type { INodeProperties } from 'n8n-workflow';
import { NodeConnectionType } from 'n8n-workflow';
import { NodeConnectionTypes } from 'n8n-workflow';
import { DEFAULT_OPERATION_MODES } from '../constants';
import type { VectorStoreNodeConstructorArgs, NodeOperationMode } from '../types';
@@ -178,8 +178,8 @@ describe('Vector Store Utilities', () => {
const retrieveOption = result.find((option) => option.value === 'retrieve');
const retrieveAsToolOption = result.find((option) => option.value === 'retrieve-as-tool');
expect(retrieveOption?.outputConnectionType).toBe(NodeConnectionType.AiVectorStore);
expect(retrieveAsToolOption?.outputConnectionType).toBe(NodeConnectionType.AiTool);
expect(retrieveOption?.outputConnectionType).toBe(NodeConnectionTypes.AiVectorStore);
expect(retrieveAsToolOption?.outputConnectionType).toBe(NodeConnectionTypes.AiTool);
});
});
});

6
packages/@n8n/nodes-langchain/nodes/vector_store/shared/createVectorStoreNode/constants.ts
View File

@@ -1,4 +1,4 @@
import { NodeConnectionType } from 'n8n-workflow';
import { NodeConnectionTypes } from 'n8n-workflow';
import type { INodePropertyOptions } from 'n8n-workflow';
import type { NodeOperationMode } from './types';
@@ -28,14 +28,14 @@ export const OPERATION_MODE_DESCRIPTIONS: INodePropertyOptions[] = [
value: 'retrieve',
description: 'Retrieve documents from vector store to be used as vector store with AI nodes',
action: 'Retrieve documents for Chain/Tool as Vector Store',
outputConnectionType: NodeConnectionType.AiVectorStore,
outputConnectionType: NodeConnectionTypes.AiVectorStore,
},
{
name: 'Retrieve Documents (As Tool for AI Agent)',
value: 'retrieve-as-tool',
description: 'Retrieve documents from vector store to be used as tool with AI nodes',
action: 'Retrieve documents for AI Agent as Tool',
outputConnectionType: NodeConnectionType.AiTool,
outputConnectionType: NodeConnectionTypes.AiTool,
},
{
name: 'Update Documents',

20
packages/@n8n/nodes-langchain/nodes/vector_store/shared/createVectorStoreNode/createVectorStoreNode.ts
View File

@@ -2,7 +2,7 @@
/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
import type { Embeddings } from '@langchain/core/embeddings';
import type { VectorStore } from '@langchain/core/vectorstores';
import { NodeConnectionType, NodeOperationError } from 'n8n-workflow';
import { NodeConnectionTypes, NodeOperationError } from 'n8n-workflow';
import type {
IExecuteFunctions,
INodeExecutionData,
@@ -66,18 +66,18 @@ export const createVectorStoreNode = <T extends VectorStore = VectorStore>(
inputs: `={{
((parameters) => {
const mode = parameters?.mode;
const inputs = [{ displayName: "Embedding", type: "${NodeConnectionType.AiEmbedding}", required: true, maxConnections: 1}]
const inputs = [{ displayName: "Embedding", type: "${NodeConnectionTypes.AiEmbedding}", required: true, maxConnections: 1}]
if (mode === 'retrieve-as-tool') {
return inputs;
}
if (['insert', 'load', 'update'].includes(mode)) {
inputs.push({ displayName: "", type: "${NodeConnectionType.Main}"})
inputs.push({ displayName: "", type: "${NodeConnectionTypes.Main}"})
}
if (['insert'].includes(mode)) {
inputs.push({ displayName: "Document", type: "${NodeConnectionType.AiDocument}", required: true, maxConnections: 1})
inputs.push({ displayName: "Document", type: "${NodeConnectionTypes.AiDocument}", required: true, maxConnections: 1})
}
return inputs
})($parameter)
@@ -87,13 +87,13 @@ export const createVectorStoreNode = <T extends VectorStore = VectorStore>(
const mode = parameters?.mode ?? 'retrieve';
if (mode === 'retrieve-as-tool') {
return [{ displayName: "Tool", type: "${NodeConnectionType.AiTool}"}]
return [{ displayName: "Tool", type: "${NodeConnectionTypes.AiTool}"}]
}
if (mode === 'retrieve') {
return [{ displayName: "Vector Store", type: "${NodeConnectionType.AiVectorStore}"}]
return [{ displayName: "Vector Store", type: "${NodeConnectionTypes.AiVectorStore}"}]
}
return [{ displayName: "", type: "${NodeConnectionType.Main}"}]
return [{ displayName: "", type: "${NodeConnectionTypes.Main}"}]
})($parameter)
}}`,
properties: [
@@ -106,7 +106,7 @@ export const createVectorStoreNode = <T extends VectorStore = VectorStore>(
options: getOperationModeOptions(args),
},
{
...getConnectionHintNoticeField([NodeConnectionType.AiRetriever]),
...getConnectionHintNoticeField([NodeConnectionTypes.AiRetriever]),
displayOptions: {
show: {
mode: ['retrieve'],
@@ -232,7 +232,7 @@ export const createVectorStoreNode = <T extends VectorStore = VectorStore>(
// Get the embeddings model connected to this node
const embeddings = (await this.getInputConnectionData(
NodeConnectionType.AiEmbedding,
NodeConnectionTypes.AiEmbedding,
0,
)) as Embeddings;
@@ -274,7 +274,7 @@ export const createVectorStoreNode = <T extends VectorStore = VectorStore>(
// Get the embeddings model connected to this node
const embeddings = (await this.getInputConnectionData(
NodeConnectionType.AiEmbedding,
NodeConnectionTypes.AiEmbedding,
0,
)) as Embeddings;

4
packages/@n8n/nodes-langchain/nodes/vector_store/shared/createVectorStoreNode/operations/__tests__/insertOperation.test.ts
View File

@@ -6,7 +6,7 @@ import type { VectorStore } from '@langchain/core/vectorstores';
import type { MockProxy } from 'jest-mock-extended';
import { mock } from 'jest-mock-extended';
import type { IExecuteFunctions, INodeExecutionData } from 'n8n-workflow';
import { NodeConnectionType } from 'n8n-workflow';
import { NodeConnectionTypes } from 'n8n-workflow';
import { logAiEvent } from '@utils/helpers';
import type { N8nBinaryLoader } from '@utils/N8nBinaryLoader';
@@ -137,7 +137,7 @@ describe('handleInsertOperation', () => {
// Should get document input from connection
expect(mockContext.getInputConnectionData).toHaveBeenCalledWith(
NodeConnectionType.AiDocument,
NodeConnectionTypes.AiDocument,
0,
);

4
packages/@n8n/nodes-langchain/nodes/vector_store/shared/createVectorStoreNode/operations/insertOperation.ts
View File

@@ -2,7 +2,7 @@ import type { Document } from '@langchain/core/documents';
import type { Embeddings } from '@langchain/core/embeddings';
import type { VectorStore } from '@langchain/core/vectorstores';
import type { IExecuteFunctions, INodeExecutionData } from 'n8n-workflow';
import { NodeConnectionType } from 'n8n-workflow';
import { NodeConnectionTypes } from 'n8n-workflow';
import { logAiEvent } from '@utils/helpers';
import type { N8nBinaryLoader } from '@utils/N8nBinaryLoader';
@@ -23,7 +23,7 @@ export async function handleInsertOperation<T extends VectorStore = VectorStore>
const nodeVersion = context.getNode().typeVersion;
// Get the input items and document data
const items = context.getInputData();
const documentInput = (await context.getInputConnectionData(NodeConnectionType.AiDocument, 0)) as
const documentInput = (await context.getInputConnectionData(NodeConnectionTypes.AiDocument, 0)) as
| N8nJsonLoader
| N8nBinaryLoader
| Array<Document<Record<string, unknown>>>;