dtamind-components
Version:
Apps integration for Dtamind. Contain Nodes and Credentials.
202 lines • 9.26 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
const lodash_1 = require("lodash");
const utils_1 = require("../../../src/utils");
const documents_1 = require("@langchain/core/documents");
const upstash_1 = require("@langchain/community/vectorstores/upstash");
const vector_1 = require("@upstash/vector");
const indexing_1 = require("../../../src/indexing");
const VectorStoreUtils_1 = require("../VectorStoreUtils");
class Upstash_VectorStores {
constructor() {
//@ts-ignore
this.vectorStoreMethods = {
async upsert(nodeData, options) {
const docs = nodeData.inputs?.document;
const embeddings = nodeData.inputs?.embeddings;
const recordManager = nodeData.inputs?.recordManager;
const isFileUploadEnabled = nodeData.inputs?.fileUpload;
const credentialData = await (0, utils_1.getCredentialData)(nodeData.credential ?? '', options);
const UPSTASH_VECTOR_REST_URL = (0, utils_1.getCredentialParam)('UPSTASH_VECTOR_REST_URL', credentialData, nodeData);
const UPSTASH_VECTOR_REST_TOKEN = (0, utils_1.getCredentialParam)('UPSTASH_VECTOR_REST_TOKEN', credentialData, nodeData);
const upstashIndex = new vector_1.Index({
url: UPSTASH_VECTOR_REST_URL,
token: UPSTASH_VECTOR_REST_TOKEN
});
const flattenDocs = docs && docs.length ? (0, lodash_1.flatten)(docs) : [];
const finalDocs = [];
for (let i = 0; i < flattenDocs.length; i += 1) {
if (flattenDocs[i] && flattenDocs[i].pageContent) {
if (isFileUploadEnabled && options.chatId) {
flattenDocs[i].metadata = { ...flattenDocs[i].metadata, [utils_1.FLOWISE_CHATID]: options.chatId };
}
finalDocs.push(new documents_1.Document(flattenDocs[i]));
}
}
const obj = {
index: upstashIndex
};
try {
if (recordManager) {
const vectorStore = await upstash_1.UpstashVectorStore.fromExistingIndex(embeddings, obj);
await recordManager.createSchema();
const res = await (0, indexing_1.index)({
docsSource: finalDocs,
recordManager,
vectorStore,
options: {
cleanup: recordManager?.cleanup,
sourceIdKey: recordManager?.sourceIdKey ?? 'source',
vectorStoreName: UPSTASH_VECTOR_REST_URL
}
});
return res;
}
else {
await upstash_1.UpstashVectorStore.fromDocuments(finalDocs, embeddings, obj);
return { numAdded: finalDocs.length, addedDocs: finalDocs };
}
}
catch (e) {
throw new Error(e);
}
},
async delete(nodeData, ids, options) {
const embeddings = nodeData.inputs?.embeddings;
const recordManager = nodeData.inputs?.recordManager;
const credentialData = await (0, utils_1.getCredentialData)(nodeData.credential ?? '', options);
const UPSTASH_VECTOR_REST_URL = (0, utils_1.getCredentialParam)('UPSTASH_VECTOR_REST_URL', credentialData, nodeData);
const UPSTASH_VECTOR_REST_TOKEN = (0, utils_1.getCredentialParam)('UPSTASH_VECTOR_REST_TOKEN', credentialData, nodeData);
const upstashIndex = new vector_1.Index({
url: UPSTASH_VECTOR_REST_URL,
token: UPSTASH_VECTOR_REST_TOKEN
});
const obj = {
index: upstashIndex
};
const upstashStore = new upstash_1.UpstashVectorStore(embeddings, obj);
try {
if (recordManager) {
const vectorStoreName = UPSTASH_VECTOR_REST_URL;
await recordManager.createSchema();
recordManager.namespace = recordManager.namespace + '_' + vectorStoreName;
const keys = await recordManager.listKeys({});
await upstashStore.delete({ ids: keys });
await recordManager.deleteKeys(keys);
}
else {
await upstashStore.delete({ ids });
}
}
catch (e) {
throw new Error(e);
}
}
};
this.label = 'Upstash Vector';
this.name = 'upstash';
this.version = 2.0;
this.type = 'Upstash';
this.icon = 'upstash.svg';
this.category = 'Vector Stores';
this.description =
'Upsert data as embedding or string and perform similarity search with Upstash, the leading serverless data platform';
this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever'];
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
description: 'Necessary credentials for the HTTP connection',
credentialNames: ['upstashVectorApi']
};
this.inputs = [
{
label: 'Document',
name: 'document',
type: 'Document',
list: true,
optional: true
},
{
label: 'Embeddings',
name: 'embeddings',
type: 'Embeddings'
},
{
label: 'Record Manager',
name: 'recordManager',
type: 'RecordManager',
description: 'Keep track of the record to prevent duplication',
optional: true
},
{
label: 'File Upload',
name: 'fileUpload',
description: 'Allow file upload on the chat',
hint: {
label: 'How to use',
value: VectorStoreUtils_1.howToUseFileUpload
},
type: 'boolean',
additionalParams: true,
optional: true
},
{
label: 'Upstash Metadata Filter',
name: 'upstashMetadataFilter',
type: 'string',
optional: true,
additionalParams: true
},
{
label: 'Top K',
name: 'topK',
description: 'Number of top results to fetch. Default to 4',
placeholder: '4',
type: 'number',
additionalParams: true,
optional: true
}
];
this.outputs = [
{
label: 'Upstash Retriever',
name: 'retriever',
baseClasses: this.baseClasses
},
{
label: 'Upstash Vector Store',
name: 'vectorStore',
baseClasses: [this.type, ...(0, utils_1.getBaseClasses)(upstash_1.UpstashVectorStore)]
}
];
}
async init(nodeData, _, options) {
const upstashMetadataFilter = nodeData.inputs?.upstashMetadataFilter;
const embeddings = nodeData.inputs?.embeddings;
const isFileUploadEnabled = nodeData.inputs?.fileUpload;
const credentialData = await (0, utils_1.getCredentialData)(nodeData.credential ?? '', options);
const UPSTASH_VECTOR_REST_URL = (0, utils_1.getCredentialParam)('UPSTASH_VECTOR_REST_URL', credentialData, nodeData);
const UPSTASH_VECTOR_REST_TOKEN = (0, utils_1.getCredentialParam)('UPSTASH_VECTOR_REST_TOKEN', credentialData, nodeData);
const upstashIndex = new vector_1.Index({
url: UPSTASH_VECTOR_REST_URL,
token: UPSTASH_VECTOR_REST_TOKEN
});
const obj = {
index: upstashIndex
};
if (upstashMetadataFilter) {
obj.filter = upstashMetadataFilter;
}
if (isFileUploadEnabled && options.chatId) {
if (upstashMetadataFilter)
obj.filter += ` OR ${utils_1.FLOWISE_CHATID} = "${options.chatId}" OR HAS NOT FIELD ${utils_1.FLOWISE_CHATID}`;
else
obj.filter = `${utils_1.FLOWISE_CHATID} = "${options.chatId}" OR HAS NOT FIELD ${utils_1.FLOWISE_CHATID}`;
}
const vectorStore = await upstash_1.UpstashVectorStore.fromExistingIndex(embeddings, obj);
return (0, VectorStoreUtils_1.resolveVectorStoreOrRetriever)(nodeData, vectorStore, obj.filter);
}
}
module.exports = { nodeClass: Upstash_VectorStores };
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