Feature/Add bullmq redis for message queue processing (#3568)

* add bullmq redis for message queue processing

* Update pnpm-lock.yaml

* update queue manager

* remove singleton patterns, add redis to cache pool

* add bull board ui

* update rate limit handler

* update redis configuration

* Merge add rate limit redis prefix

* update rate limit queue events

* update preview loader to queue

* refractor namings to constants

* update env variable for queue

* update worker shutdown gracefully
This commit is contained in:
Henry Heng
2025-01-23 14:08:02 +00:00
committed by GitHub
parent 14adb936f2
commit a2a475ba7a
59 changed files with 38958 additions and 36985 deletions
@@ -21,7 +21,7 @@ import {
} from '../../../src/Interface'
import { AgentExecutor } from '../../../src/agents'
import { addImagesToMessages, llmSupportsVision } from '../../../src/multiModalUtils'
import { checkInputs, Moderation } from '../../moderation/Moderation'
import { checkInputs, Moderation, streamResponse } from '../../moderation/Moderation'
import { formatResponse } from '../../outputparsers/OutputParserHelpers'
const DEFAULT_PREFIX = `Assistant is a large language model trained by OpenAI.
@@ -124,10 +124,9 @@ class ConversationalAgent_Agents implements INode {
input = await checkInputs(moderations, input)
} catch (e) {
await new Promise((resolve) => setTimeout(resolve, 500))
// if (options.shouldStreamResponse) {
// streamResponse(options.sseStreamer, options.chatId, e.message)
// }
//streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId)
if (options.shouldStreamResponse) {
streamResponse(sseStreamer, chatId, e.message)
}
return formatResponse(e.message)
}
}
@@ -27,17 +27,17 @@ class InMemoryCache implements INode {
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const memoryMap = options.cachePool.getLLMCache(options.chatflowid) ?? new Map()
const memoryMap = (await options.cachePool.getLLMCache(options.chatflowid)) ?? new Map()
const inMemCache = new InMemoryCacheExtended(memoryMap)
inMemCache.lookup = async (prompt: string, llmKey: string): Promise<any | null> => {
const memory = options.cachePool.getLLMCache(options.chatflowid) ?? inMemCache.cache
const memory = (await options.cachePool.getLLMCache(options.chatflowid)) ?? inMemCache.cache
return Promise.resolve(memory.get(getCacheKey(prompt, llmKey)) ?? null)
}
inMemCache.update = async (prompt: string, llmKey: string, value: any): Promise<void> => {
inMemCache.cache.set(getCacheKey(prompt, llmKey), value)
options.cachePool.addLLMCache(options.chatflowid, inMemCache.cache)
await options.cachePool.addLLMCache(options.chatflowid, inMemCache.cache)
}
return inMemCache
}
@@ -43,11 +43,11 @@ class InMemoryEmbeddingCache implements INode {
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const namespace = nodeData.inputs?.namespace as string
const underlyingEmbeddings = nodeData.inputs?.embeddings as Embeddings
const memoryMap = options.cachePool.getEmbeddingCache(options.chatflowid) ?? {}
const memoryMap = (await options.cachePool.getEmbeddingCache(options.chatflowid)) ?? {}
const inMemCache = new InMemoryEmbeddingCacheExtended(memoryMap)
inMemCache.mget = async (keys: string[]) => {
const memory = options.cachePool.getEmbeddingCache(options.chatflowid) ?? inMemCache.store
const memory = (await options.cachePool.getEmbeddingCache(options.chatflowid)) ?? inMemCache.store
return keys.map((key) => memory[key])
}
@@ -55,14 +55,14 @@ class InMemoryEmbeddingCache implements INode {
for (const [key, value] of keyValuePairs) {
inMemCache.store[key] = value
}
options.cachePool.addEmbeddingCache(options.chatflowid, inMemCache.store)
await options.cachePool.addEmbeddingCache(options.chatflowid, inMemCache.store)
}
inMemCache.mdelete = async (keys: string[]): Promise<void> => {
for (const key of keys) {
delete inMemCache.store[key]
}
options.cachePool.addEmbeddingCache(options.chatflowid, inMemCache.store)
await options.cachePool.addEmbeddingCache(options.chatflowid, inMemCache.store)
}
return CacheBackedEmbeddings.fromBytesStore(underlyingEmbeddings, inMemCache, {
+53 -62
View File
@@ -1,47 +1,10 @@
import { Redis, RedisOptions } from 'ioredis'
import { isEqual } from 'lodash'
import { Redis } from 'ioredis'
import hash from 'object-hash'
import { RedisCache as LangchainRedisCache } from '@langchain/community/caches/ioredis'
import { StoredGeneration, mapStoredMessageToChatMessage } from '@langchain/core/messages'
import { Generation, ChatGeneration } from '@langchain/core/outputs'
import { getBaseClasses, getCredentialData, getCredentialParam, ICommonObject, INode, INodeData, INodeParams } from '../../../src'
let redisClientSingleton: Redis
let redisClientOption: RedisOptions
let redisClientUrl: string
const getRedisClientbyOption = (option: RedisOptions) => {
if (!redisClientSingleton) {
// if client doesn't exists
redisClientSingleton = new Redis(option)
redisClientOption = option
return redisClientSingleton
} else if (redisClientSingleton && !isEqual(option, redisClientOption)) {
// if client exists but option changed
redisClientSingleton.quit()
redisClientSingleton = new Redis(option)
redisClientOption = option
return redisClientSingleton
}
return redisClientSingleton
}
const getRedisClientbyUrl = (url: string) => {
if (!redisClientSingleton) {
// if client doesn't exists
redisClientSingleton = new Redis(url)
redisClientUrl = url
return redisClientSingleton
} else if (redisClientSingleton && url !== redisClientUrl) {
// if client exists but option changed
redisClientSingleton.quit()
redisClientSingleton = new Redis(url)
redisClientUrl = url
return redisClientSingleton
}
return redisClientSingleton
}
class RedisCache implements INode {
label: string
name: string
@@ -85,33 +48,19 @@ class RedisCache implements INode {
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const ttl = nodeData.inputs?.ttl as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const redisUrl = getCredentialParam('redisUrl', credentialData, nodeData)
let client: Redis
if (!redisUrl || redisUrl === '') {
const username = getCredentialParam('redisCacheUser', credentialData, nodeData)
const password = getCredentialParam('redisCachePwd', credentialData, nodeData)
const portStr = getCredentialParam('redisCachePort', credentialData, nodeData)
const host = getCredentialParam('redisCacheHost', credentialData, nodeData)
const sslEnabled = getCredentialParam('redisCacheSslEnabled', credentialData, nodeData)
const tlsOptions = sslEnabled === true ? { tls: { rejectUnauthorized: false } } : {}
client = getRedisClientbyOption({
port: portStr ? parseInt(portStr) : 6379,
host,
username,
password,
...tlsOptions
})
} else {
client = getRedisClientbyUrl(redisUrl)
}
let client = await getRedisClient(nodeData, options)
const redisClient = new LangchainRedisCache(client)
redisClient.lookup = async (prompt: string, llmKey: string) => {
try {
const pingResp = await client.ping()
if (pingResp !== 'PONG') {
client = await getRedisClient(nodeData, options)
}
} catch (error) {
client = await getRedisClient(nodeData, options)
}
let idx = 0
let key = getCacheKey(prompt, llmKey, String(idx))
let value = await client.get(key)
@@ -125,10 +74,21 @@ class RedisCache implements INode {
value = await client.get(key)
}
client.quit()
return generations.length > 0 ? generations : null
}
redisClient.update = async (prompt: string, llmKey: string, value: Generation[]) => {
try {
const pingResp = await client.ping()
if (pingResp !== 'PONG') {
client = await getRedisClient(nodeData, options)
}
} catch (error) {
client = await getRedisClient(nodeData, options)
}
for (let i = 0; i < value.length; i += 1) {
const key = getCacheKey(prompt, llmKey, String(i))
if (ttl) {
@@ -137,12 +97,43 @@ class RedisCache implements INode {
await client.set(key, JSON.stringify(serializeGeneration(value[i])))
}
}
client.quit()
}
client.quit()
return redisClient
}
}
const getRedisClient = async (nodeData: INodeData, options: ICommonObject) => {
let client: Redis
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const redisUrl = getCredentialParam('redisUrl', credentialData, nodeData)
if (!redisUrl || redisUrl === '') {
const username = getCredentialParam('redisCacheUser', credentialData, nodeData)
const password = getCredentialParam('redisCachePwd', credentialData, nodeData)
const portStr = getCredentialParam('redisCachePort', credentialData, nodeData)
const host = getCredentialParam('redisCacheHost', credentialData, nodeData)
const sslEnabled = getCredentialParam('redisCacheSslEnabled', credentialData, nodeData)
const tlsOptions = sslEnabled === true ? { tls: { rejectUnauthorized: false } } : {}
client = new Redis({
port: portStr ? parseInt(portStr) : 6379,
host,
username,
password,
...tlsOptions
})
} else {
client = new Redis(redisUrl)
}
return client
}
const getCacheKey = (...strings: string[]): string => hash(strings.join('_'))
const deserializeStoredGeneration = (storedGeneration: StoredGeneration) => {
if (storedGeneration.message !== undefined) {
@@ -1,45 +1,11 @@
import { Redis, RedisOptions } from 'ioredis'
import { isEqual } from 'lodash'
import { Redis } from 'ioredis'
import { RedisByteStore } from '@langchain/community/storage/ioredis'
import { Embeddings } from '@langchain/core/embeddings'
import { CacheBackedEmbeddings } from 'langchain/embeddings/cache_backed'
import { Embeddings, EmbeddingsInterface } from '@langchain/core/embeddings'
import { CacheBackedEmbeddingsFields } from 'langchain/embeddings/cache_backed'
import { getBaseClasses, getCredentialData, getCredentialParam, ICommonObject, INode, INodeData, INodeParams } from '../../../src'
let redisClientSingleton: Redis
let redisClientOption: RedisOptions
let redisClientUrl: string
const getRedisClientbyOption = (option: RedisOptions) => {
if (!redisClientSingleton) {
// if client doesn't exists
redisClientSingleton = new Redis(option)
redisClientOption = option
return redisClientSingleton
} else if (redisClientSingleton && !isEqual(option, redisClientOption)) {
// if client exists but option changed
redisClientSingleton.quit()
redisClientSingleton = new Redis(option)
redisClientOption = option
return redisClientSingleton
}
return redisClientSingleton
}
const getRedisClientbyUrl = (url: string) => {
if (!redisClientSingleton) {
// if client doesn't exists
redisClientSingleton = new Redis(url)
redisClientUrl = url
return redisClientSingleton
} else if (redisClientSingleton && url !== redisClientUrl) {
// if client exists but option changed
redisClientSingleton.quit()
redisClientSingleton = new Redis(url)
redisClientUrl = url
return redisClientSingleton
}
return redisClientSingleton
}
import { BaseStore } from '@langchain/core/stores'
import { insecureHash } from '@langchain/core/utils/hash'
import { Document } from '@langchain/core/documents'
class RedisEmbeddingsCache implements INode {
label: string
@@ -112,7 +78,7 @@ class RedisEmbeddingsCache implements INode {
const tlsOptions = sslEnabled === true ? { tls: { rejectUnauthorized: false } } : {}
client = getRedisClientbyOption({
client = new Redis({
port: portStr ? parseInt(portStr) : 6379,
host,
username,
@@ -120,7 +86,7 @@ class RedisEmbeddingsCache implements INode {
...tlsOptions
})
} else {
client = getRedisClientbyUrl(redisUrl)
client = new Redis(redisUrl)
}
ttl ??= '3600'
@@ -130,10 +96,143 @@ class RedisEmbeddingsCache implements INode {
ttl: ttlNumber
})
return CacheBackedEmbeddings.fromBytesStore(underlyingEmbeddings, redisStore, {
namespace: namespace
const store = CacheBackedEmbeddings.fromBytesStore(underlyingEmbeddings, redisStore, {
namespace: namespace,
redisClient: client
})
return store
}
}
class CacheBackedEmbeddings extends Embeddings {
protected underlyingEmbeddings: EmbeddingsInterface
protected documentEmbeddingStore: BaseStore<string, number[]>
protected redisClient?: Redis
constructor(fields: CacheBackedEmbeddingsFields & { redisClient?: Redis }) {
super(fields)
this.underlyingEmbeddings = fields.underlyingEmbeddings
this.documentEmbeddingStore = fields.documentEmbeddingStore
this.redisClient = fields.redisClient
}
async embedQuery(document: string): Promise<number[]> {
const res = this.underlyingEmbeddings.embedQuery(document)
this.redisClient?.quit()
return res
}
async embedDocuments(documents: string[]): Promise<number[][]> {
const vectors = await this.documentEmbeddingStore.mget(documents)
const missingIndicies = []
const missingDocuments = []
for (let i = 0; i < vectors.length; i += 1) {
if (vectors[i] === undefined) {
missingIndicies.push(i)
missingDocuments.push(documents[i])
}
}
if (missingDocuments.length) {
const missingVectors = await this.underlyingEmbeddings.embedDocuments(missingDocuments)
const keyValuePairs: [string, number[]][] = missingDocuments.map((document, i) => [document, missingVectors[i]])
await this.documentEmbeddingStore.mset(keyValuePairs)
for (let i = 0; i < missingIndicies.length; i += 1) {
vectors[missingIndicies[i]] = missingVectors[i]
}
}
this.redisClient?.quit()
return vectors as number[][]
}
static fromBytesStore(
underlyingEmbeddings: EmbeddingsInterface,
documentEmbeddingStore: BaseStore<string, Uint8Array>,
options?: {
namespace?: string
redisClient?: Redis
}
) {
const encoder = new TextEncoder()
const decoder = new TextDecoder()
const encoderBackedStore = new EncoderBackedStore<string, number[], Uint8Array>({
store: documentEmbeddingStore,
keyEncoder: (key) => (options?.namespace ?? '') + insecureHash(key),
valueSerializer: (value) => encoder.encode(JSON.stringify(value)),
valueDeserializer: (serializedValue) => JSON.parse(decoder.decode(serializedValue))
})
return new this({
underlyingEmbeddings,
documentEmbeddingStore: encoderBackedStore,
redisClient: options?.redisClient
})
}
}
class EncoderBackedStore<K, V, SerializedType = any> extends BaseStore<K, V> {
lc_namespace = ['langchain', 'storage']
store: BaseStore<string, SerializedType>
keyEncoder: (key: K) => string
valueSerializer: (value: V) => SerializedType
valueDeserializer: (value: SerializedType) => V
constructor(fields: {
store: BaseStore<string, SerializedType>
keyEncoder: (key: K) => string
valueSerializer: (value: V) => SerializedType
valueDeserializer: (value: SerializedType) => V
}) {
super(fields)
this.store = fields.store
this.keyEncoder = fields.keyEncoder
this.valueSerializer = fields.valueSerializer
this.valueDeserializer = fields.valueDeserializer
}
async mget(keys: K[]): Promise<(V | undefined)[]> {
const encodedKeys = keys.map(this.keyEncoder)
const values = await this.store.mget(encodedKeys)
return values.map((value) => {
if (value === undefined) {
return undefined
}
return this.valueDeserializer(value)
})
}
async mset(keyValuePairs: [K, V][]): Promise<void> {
const encodedPairs: [string, SerializedType][] = keyValuePairs.map(([key, value]) => [
this.keyEncoder(key),
this.valueSerializer(value)
])
return this.store.mset(encodedPairs)
}
async mdelete(keys: K[]): Promise<void> {
const encodedKeys = keys.map(this.keyEncoder)
return this.store.mdelete(encodedKeys)
}
async *yieldKeys(prefix?: string | undefined): AsyncGenerator<string | K> {
yield* this.store.yieldKeys(prefix)
}
}
export function createDocumentStoreFromByteStore(store: BaseStore<string, Uint8Array>) {
const encoder = new TextEncoder()
const decoder = new TextDecoder()
return new EncoderBackedStore({
store,
keyEncoder: (key: string) => key,
valueSerializer: (doc: Document) => encoder.encode(JSON.stringify({ pageContent: doc.pageContent, metadata: doc.metadata })),
valueDeserializer: (bytes: Uint8Array) => new Document(JSON.parse(decoder.decode(bytes)))
})
}
module.exports = { nodeClass: RedisEmbeddingsCache }
@@ -180,7 +180,6 @@ class SqlDatabaseChain_Chains implements INode {
if (shouldStreamResponse) {
streamResponse(sseStreamer, chatId, e.message)
}
// streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId)
return formatResponse(e.message)
}
}
@@ -1,5 +1,4 @@
import { Redis, RedisConfigNodejs } from '@upstash/redis'
import { isEqual } from 'lodash'
import { Redis } from '@upstash/redis'
import { BufferMemory, BufferMemoryInput } from 'langchain/memory'
import { UpstashRedisChatMessageHistory } from '@langchain/community/stores/message/upstash_redis'
import { mapStoredMessageToChatMessage, AIMessage, HumanMessage, StoredMessage, BaseMessage } from '@langchain/core/messages'
@@ -13,24 +12,6 @@ import {
} from '../../../src/utils'
import { ICommonObject } from '../../../src/Interface'
let redisClientSingleton: Redis
let redisClientOption: RedisConfigNodejs
const getRedisClientbyOption = (option: RedisConfigNodejs) => {
if (!redisClientSingleton) {
// if client doesn't exists
redisClientSingleton = new Redis(option)
redisClientOption = option
return redisClientSingleton
} else if (redisClientSingleton && !isEqual(option, redisClientOption)) {
// if client exists but option changed
redisClientSingleton = new Redis(option)
redisClientOption = option
return redisClientSingleton
}
return redisClientSingleton
}
class UpstashRedisBackedChatMemory_Memory implements INode {
label: string
name: string
@@ -109,7 +90,7 @@ const initalizeUpstashRedis = async (nodeData: INodeData, options: ICommonObject
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const upstashRestToken = getCredentialParam('upstashRestToken', credentialData, nodeData)
const client = getRedisClientbyOption({
const client = new Redis({
url: baseURL,
token: upstashRestToken
})
@@ -138,7 +138,14 @@ class Elasticsearch_VectorStores implements INode {
})
// end of workaround
const elasticSearchClientArgs = prepareClientArgs(endPoint, cloudId, credentialData, nodeData, similarityMeasure, indexName)
const { elasticClient, elasticSearchClientArgs } = prepareClientArgs(
endPoint,
cloudId,
credentialData,
nodeData,
similarityMeasure,
indexName
)
const vectorStore = new ElasticVectorSearch(embeddings, elasticSearchClientArgs)
try {
@@ -155,9 +162,11 @@ class Elasticsearch_VectorStores implements INode {
vectorStoreName: indexName
}
})
await elasticClient.close()
return res
} else {
await vectorStore.addDocuments(finalDocs)
await elasticClient.close()
return { numAdded: finalDocs.length, addedDocs: finalDocs }
}
} catch (e) {
@@ -174,7 +183,14 @@ class Elasticsearch_VectorStores implements INode {
const endPoint = getCredentialParam('endpoint', credentialData, nodeData)
const cloudId = getCredentialParam('cloudId', credentialData, nodeData)
const elasticSearchClientArgs = prepareClientArgs(endPoint, cloudId, credentialData, nodeData, similarityMeasure, indexName)
const { elasticClient, elasticSearchClientArgs } = prepareClientArgs(
endPoint,
cloudId,
credentialData,
nodeData,
similarityMeasure,
indexName
)
const vectorStore = new ElasticVectorSearch(embeddings, elasticSearchClientArgs)
try {
@@ -186,8 +202,10 @@ class Elasticsearch_VectorStores implements INode {
await vectorStore.delete({ ids: keys })
await recordManager.deleteKeys(keys)
await elasticClient.close()
} else {
await vectorStore.delete({ ids })
await elasticClient.close()
}
} catch (e) {
throw new Error(e)
@@ -206,8 +224,22 @@ class Elasticsearch_VectorStores implements INode {
const k = topK ? parseFloat(topK) : 4
const output = nodeData.outputs?.output as string
const elasticSearchClientArgs = prepareClientArgs(endPoint, cloudId, credentialData, nodeData, similarityMeasure, indexName)
const { elasticClient, elasticSearchClientArgs } = prepareClientArgs(
endPoint,
cloudId,
credentialData,
nodeData,
similarityMeasure,
indexName
)
const vectorStore = await ElasticVectorSearch.fromExistingIndex(embeddings, elasticSearchClientArgs)
const originalSimilaritySearchVectorWithScore = vectorStore.similaritySearchVectorWithScore
vectorStore.similaritySearchVectorWithScore = async (query: number[], k: number, filter?: any) => {
const results = await originalSimilaritySearchVectorWithScore.call(vectorStore, query, k, filter)
await elasticClient.close()
return results
}
if (output === 'retriever') {
return vectorStore.asRetriever(k)
@@ -289,12 +321,17 @@ const prepareClientArgs = (
similarity: 'l2_norm'
}
}
const elasticClient = new Client(elasticSearchClientOptions)
const elasticSearchClientArgs: ElasticClientArgs = {
client: new Client(elasticSearchClientOptions),
client: elasticClient,
indexName: indexName,
vectorSearchOptions: vectorSearchOptions
}
return elasticSearchClientArgs
return {
elasticClient,
elasticSearchClientArgs
}
}
module.exports = { nodeClass: Elasticsearch_VectorStores }
@@ -1,5 +1,5 @@
import { flatten, isEqual } from 'lodash'
import { Pinecone, PineconeConfiguration } from '@pinecone-database/pinecone'
import { flatten } from 'lodash'
import { Pinecone } from '@pinecone-database/pinecone'
import { PineconeStoreParams, PineconeStore } from '@langchain/pinecone'
import { Embeddings } from '@langchain/core/embeddings'
import { Document } from '@langchain/core/documents'
@@ -9,23 +9,6 @@ import { FLOWISE_CHATID, getBaseClasses, getCredentialData, getCredentialParam }
import { addMMRInputParams, howToUseFileUpload, resolveVectorStoreOrRetriever } from '../VectorStoreUtils'
import { index } from '../../../src/indexing'
let pineconeClientSingleton: Pinecone
let pineconeClientOption: PineconeConfiguration
const getPineconeClient = (option: PineconeConfiguration) => {
if (!pineconeClientSingleton) {
// if client doesn't exists
pineconeClientSingleton = new Pinecone(option)
pineconeClientOption = option
return pineconeClientSingleton
} else if (pineconeClientSingleton && !isEqual(option, pineconeClientOption)) {
// if client exists but option changed
pineconeClientSingleton = new Pinecone(option)
return pineconeClientSingleton
}
return pineconeClientSingleton
}
class Pinecone_VectorStores implements INode {
label: string
name: string
@@ -155,7 +138,7 @@ class Pinecone_VectorStores implements INode {
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const pineconeApiKey = getCredentialParam('pineconeApiKey', credentialData, nodeData)
const client = getPineconeClient({ apiKey: pineconeApiKey })
const client = new Pinecone({ apiKey: pineconeApiKey })
const pineconeIndex = client.Index(_index)
@@ -211,7 +194,7 @@ class Pinecone_VectorStores implements INode {
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const pineconeApiKey = getCredentialParam('pineconeApiKey', credentialData, nodeData)
const client = getPineconeClient({ apiKey: pineconeApiKey })
const client = new Pinecone({ apiKey: pineconeApiKey })
const pineconeIndex = client.Index(_index)
@@ -253,7 +236,7 @@ class Pinecone_VectorStores implements INode {
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const pineconeApiKey = getCredentialParam('pineconeApiKey', credentialData, nodeData)
const client = getPineconeClient({ apiKey: pineconeApiKey })
const client = new Pinecone({ apiKey: pineconeApiKey })
const pineconeIndex = client.Index(index)
@@ -7,7 +7,7 @@ import { howToUseFileUpload } from '../VectorStoreUtils'
import { VectorStore } from '@langchain/core/vectorstores'
import { VectorStoreDriver } from './driver/Base'
import { TypeORMDriver } from './driver/TypeORM'
import { PGVectorDriver } from './driver/PGVector'
// import { PGVectorDriver } from './driver/PGVector'
import { getContentColumnName, getDatabase, getHost, getPort, getTableName } from './utils'
const serverCredentialsExists = !!process.env.POSTGRES_VECTORSTORE_USER && !!process.env.POSTGRES_VECTORSTORE_PASSWORD
@@ -91,7 +91,7 @@ class Postgres_VectorStores implements INode {
additionalParams: true,
optional: true
},
{
/*{
label: 'Driver',
name: 'driver',
type: 'options',
@@ -109,7 +109,7 @@ class Postgres_VectorStores implements INode {
],
optional: true,
additionalParams: true
},
},*/
{
label: 'Distance Strategy',
name: 'distanceStrategy',
@@ -300,14 +300,15 @@ class Postgres_VectorStores implements INode {
}
static getDriverFromConfig(nodeData: INodeData, options: ICommonObject): VectorStoreDriver {
switch (nodeData.inputs?.driver) {
/*switch (nodeData.inputs?.driver) {
case 'typeorm':
return new TypeORMDriver(nodeData, options)
case 'pgvector':
return new PGVectorDriver(nodeData, options)
default:
return new TypeORMDriver(nodeData, options)
}
}*/
return new TypeORMDriver(nodeData, options)
}
}
@@ -1,3 +1,7 @@
/*
* Temporary disabled due to increasing open connections without releasing them
* Use TypeORM instead
import { VectorStoreDriver } from './Base'
import { FLOWISE_CHATID } from '../../../../src'
import { DistanceStrategy, PGVectorStore, PGVectorStoreArgs } from '@langchain/community/vectorstores/pgvector'
@@ -120,3 +124,4 @@ export class PGVectorDriver extends VectorStoreDriver {
return instance
}
}
*/
@@ -51,7 +51,9 @@ export class TypeORMDriver extends VectorStoreDriver {
}
async instanciate(metadataFilters?: any) {
return this.adaptInstance(await TypeORMVectorStore.fromDataSource(this.getEmbeddings(), await this.getArgs()), metadataFilters)
// @ts-ignore
const instance = new TypeORMVectorStore(this.getEmbeddings(), await this.getArgs())
return this.adaptInstance(instance, metadataFilters)
}
async fromDocuments(documents: Document[]) {
@@ -77,7 +79,8 @@ export class TypeORMDriver extends VectorStoreDriver {
[ERROR]: uncaughtException: Illegal invocation TypeError: Illegal invocation at Socket.ref (node:net:1524:18) at Connection.ref (.../node_modules/pg/lib/connection.js:183:17) at Client.ref (.../node_modules/pg/lib/client.js:591:21) at BoundPool._pulseQueue (/node_modules/pg-pool/index.js:148:28) at .../node_modules/pg-pool/index.js:184:37 at process.processTicksAndRejections (node:internal/process/task_queues:77:11)
*/
instance.similaritySearchVectorWithScore = async (query: number[], k: number, filter?: any) => {
return await TypeORMDriver.similaritySearchVectorWithScore(
await instance.appDataSource.initialize()
const res = await TypeORMDriver.similaritySearchVectorWithScore(
query,
k,
tableName,
@@ -85,6 +88,8 @@ export class TypeORMDriver extends VectorStoreDriver {
filter ?? metadataFilters,
this.computedOperatorString
)
await instance.appDataSource.destroy()
return res
}
instance.delete = async (params: { ids: string[] }): Promise<void> => {
@@ -92,9 +97,12 @@ export class TypeORMDriver extends VectorStoreDriver {
if (ids?.length) {
try {
await instance.appDataSource.initialize()
instance.appDataSource.getRepository(instance.documentEntity).delete(ids)
} catch (e) {
console.error('Failed to delete')
} finally {
await instance.appDataSource.destroy()
}
}
}
@@ -102,7 +110,10 @@ export class TypeORMDriver extends VectorStoreDriver {
const baseAddVectorsFn = instance.addVectors.bind(instance)
instance.addVectors = async (vectors, documents) => {
return baseAddVectorsFn(vectors, this.sanitizeDocuments(documents))
await instance.appDataSource.initialize()
const res = baseAddVectorsFn(vectors, this.sanitizeDocuments(documents))
await instance.appDataSource.destroy()
return res
}
return instance
@@ -1,32 +1,11 @@
import { flatten, isEqual } from 'lodash'
import { createClient, SearchOptions, RedisClientOptions } from 'redis'
import { flatten } from 'lodash'
import { createClient, SearchOptions } from 'redis'
import { Embeddings } from '@langchain/core/embeddings'
import { RedisVectorStore, RedisVectorStoreConfig } from '@langchain/community/vectorstores/redis'
import { Document } from '@langchain/core/documents'
import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams, IndexingResult } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { escapeAllStrings, escapeSpecialChars, unEscapeSpecialChars } from './utils'
let redisClientSingleton: ReturnType<typeof createClient>
let redisClientOption: RedisClientOptions
const getRedisClient = async (option: RedisClientOptions) => {
if (!redisClientSingleton) {
// if client doesn't exists
redisClientSingleton = createClient(option)
await redisClientSingleton.connect()
redisClientOption = option
return redisClientSingleton
} else if (redisClientSingleton && !isEqual(option, redisClientOption)) {
// if client exists but option changed
redisClientSingleton.quit()
redisClientSingleton = createClient(option)
await redisClientSingleton.connect()
redisClientOption = option
return redisClientSingleton
}
return redisClientSingleton
}
import { escapeSpecialChars, unEscapeSpecialChars } from './utils'
class Redis_VectorStores implements INode {
label: string
@@ -163,13 +142,13 @@ class Redis_VectorStores implements INode {
for (let i = 0; i < flattenDocs.length; i += 1) {
if (flattenDocs[i] && flattenDocs[i].pageContent) {
const document = new Document(flattenDocs[i])
escapeAllStrings(document.metadata)
finalDocs.push(document)
}
}
try {
const redisClient = await getRedisClient({ url: redisUrl })
const redisClient = createClient({ url: redisUrl })
await redisClient.connect()
const storeConfig: RedisVectorStoreConfig = {
redisClient: redisClient,
@@ -203,6 +182,8 @@ class Redis_VectorStores implements INode {
)
}
await redisClient.quit()
return { numAdded: finalDocs.length, addedDocs: finalDocs }
} catch (e) {
throw new Error(e)
@@ -231,7 +212,7 @@ class Redis_VectorStores implements INode {
redisUrl = 'redis://' + username + ':' + password + '@' + host + ':' + portStr
}
const redisClient = await getRedisClient({ url: redisUrl })
const redisClient = createClient({ url: redisUrl })
const storeConfig: RedisVectorStoreConfig = {
redisClient: redisClient,
@@ -246,7 +227,19 @@ class Redis_VectorStores implements INode {
// Avoid Illegal invocation error
vectorStore.similaritySearchVectorWithScore = async (query: number[], k: number, filter?: any) => {
return await similaritySearchVectorWithScore(query, k, indexName, metadataKey, vectorKey, contentKey, redisClient, filter)
await redisClient.connect()
const results = await similaritySearchVectorWithScore(
query,
k,
indexName,
metadataKey,
vectorKey,
contentKey,
redisClient,
filter
)
await redisClient.quit()
return results
}
if (output === 'retriever') {
-1
View File
@@ -125,7 +125,6 @@
"redis": "^4.6.7",
"replicate": "^0.31.1",
"sanitize-filename": "^1.6.3",
"socket.io": "^4.6.1",
"srt-parser-2": "^1.2.3",
"typeorm": "^0.3.6",
"weaviate-ts-client": "^1.1.0",
-3
View File
@@ -406,12 +406,9 @@ export interface IStateWithMessages extends ICommonObject {
}
export interface IServerSideEventStreamer {
streamEvent(chatId: string, data: string): void
streamStartEvent(chatId: string, data: any): void
streamTokenEvent(chatId: string, data: string): void
streamCustomEvent(chatId: string, eventType: string, data: any): void
streamSourceDocumentsEvent(chatId: string, data: any): void
streamUsedToolsEvent(chatId: string, data: any): void
streamFileAnnotationsEvent(chatId: string, data: any): void