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https://github.com/farcasclaudiu/Flowise.git
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New Feature : Redis Vector Store
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import {
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getBaseClasses,
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getCredentialData,
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getCredentialParam,
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ICommonObject,
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INodeData,
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INodeOutputsValue,
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INodeParams
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} from '../../../src'
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import { Embeddings } from 'langchain/embeddings/base'
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import { VectorStore } from 'langchain/vectorstores/base'
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import { Document } from 'langchain/document'
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import { createClient } from 'redis'
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import { RedisVectorStore } from 'langchain/vectorstores/redis'
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export abstract class RedisSearchBase {
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label: string
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name: string
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version: number
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description: string
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type: string
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icon: string
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category: string
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baseClasses: string[]
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inputs: INodeParams[]
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credential: INodeParams
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outputs: INodeOutputsValue[]
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redisClient: ReturnType<typeof createClient>
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protected constructor() {
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this.type = 'Redis'
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this.icon = 'redis.svg'
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this.category = 'Vector Stores'
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this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
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this.credential = {
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label: 'Connect Credential',
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name: 'credential',
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type: 'credential',
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credentialNames: ['redisCacheUrlApi', 'redisCacheApi']
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}
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this.inputs = [
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{
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label: 'Embeddings',
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name: 'embeddings',
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type: 'Embeddings'
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},
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{
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label: 'Index Name',
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name: 'indexName',
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placeholder: '<VECTOR_INDEX_NAME>',
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type: 'string'
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},
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{
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label: 'Top K',
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name: 'topK',
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description: 'Number of top results to fetch. Default to 4',
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placeholder: '4',
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type: 'number',
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additionalParams: true,
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optional: true
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}
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]
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this.outputs = [
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{
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label: 'Redis Retriever',
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name: 'retriever',
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baseClasses: this.baseClasses
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},
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{
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label: 'Redis Vector Store',
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name: 'vectorStore',
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baseClasses: [this.type, ...getBaseClasses(RedisVectorStore)]
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}
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]
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}
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abstract constructVectorStore(
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embeddings: Embeddings,
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indexName: string,
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docs: Document<Record<string, any>>[] | undefined
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): Promise<VectorStore>
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async init(nodeData: INodeData, _: string, options: ICommonObject, docs: Document<Record<string, any>>[] | undefined): Promise<any> {
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const indexName = nodeData.inputs?.indexName as string
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const embeddings = nodeData.inputs?.embeddings as Embeddings
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const topK = nodeData.inputs?.topK as string
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const k = topK ? parseFloat(topK) : 4
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const output = nodeData.outputs?.output as string
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let redisUrl = getCredentialParam('redisUrl', credentialData, nodeData)
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if (!redisUrl || redisUrl === '') {
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const username = getCredentialParam('redisCacheUser', credentialData, nodeData)
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const password = getCredentialParam('redisCachePwd', credentialData, nodeData)
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const portStr = getCredentialParam('redisCachePort', credentialData, nodeData)
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const host = getCredentialParam('redisCacheHost', credentialData, nodeData)
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redisUrl = 'redis://' + username + ':' + password + '@' + host + ':' + portStr
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}
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this.redisClient = createClient({ url: redisUrl })
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await this.redisClient.connect()
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const vectorStore = await this.constructVectorStore(embeddings, indexName, docs)
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if (output === 'retriever') {
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return vectorStore.asRetriever(k)
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} else if (output === 'vectorStore') {
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;(vectorStore as any).k = k
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return vectorStore
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}
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return vectorStore
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}
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}
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import { ICommonObject, INode, INodeData } from '../../../src/Interface'
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import { Embeddings } from 'langchain/embeddings/base'
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import { VectorStore } from 'langchain/vectorstores/base'
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import { RedisVectorStore, RedisVectorStoreConfig } from 'langchain/vectorstores/redis'
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import { Document } from 'langchain/document'
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import { RedisSearchBase } from './RedisSearchBase'
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class RedisExisting_VectorStores extends RedisSearchBase implements INode {
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constructor() {
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super()
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this.label = 'Redis Load Existing Index'
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this.name = 'RedisIndex'
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this.version = 1.0
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this.description = 'Load existing index from Redis (i.e: Document has been upserted)'
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}
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async constructVectorStore(embeddings: Embeddings, indexName: string, _: Document<Record<string, any>>[]): Promise<VectorStore> {
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const storeConfig: RedisVectorStoreConfig = {
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redisClient: this.redisClient,
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indexName: indexName
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}
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return new RedisVectorStore(embeddings, storeConfig)
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}
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async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
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return super.init(nodeData, _, options, undefined)
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}
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}
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module.exports = { nodeClass: RedisExisting_VectorStores }
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@@ -0,0 +1,46 @@
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import { ICommonObject, INode, INodeData } from '../../../src/Interface'
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import { Embeddings } from 'langchain/embeddings/base'
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import { Document } from 'langchain/document'
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import { flatten } from 'lodash'
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import { RedisSearchBase } from './RedisSearchBase'
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import { VectorStore } from 'langchain/vectorstores/base'
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import { RedisVectorStore, RedisVectorStoreConfig } from 'langchain/vectorstores/redis'
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class RedisUpsert_VectorStores extends RedisSearchBase implements INode {
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constructor() {
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super()
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this.label = 'Redis Upsert Document'
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this.name = 'RedisUpsert'
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this.version = 1.0
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this.description = 'Upsert documents to Redis'
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this.inputs.unshift({
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label: 'Document',
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name: 'document',
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type: 'Document',
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list: true
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})
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}
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async constructVectorStore(embeddings: Embeddings, indexName: string, docs: Document<Record<string, any>>[]): Promise<VectorStore> {
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const storeConfig: RedisVectorStoreConfig = {
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redisClient: this.redisClient,
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indexName: indexName
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}
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return await RedisVectorStore.fromDocuments(docs, embeddings, storeConfig)
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}
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async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
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const docs = nodeData.inputs?.document as Document[]
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const flattenDocs = docs && docs.length ? flatten(docs) : []
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const finalDocs = []
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for (let i = 0; i < flattenDocs.length; i += 1) {
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finalDocs.push(new Document(flattenDocs[i]))
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}
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return super.init(nodeData, _, options, flattenDocs)
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}
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}
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module.exports = { nodeClass: RedisUpsert_VectorStores }
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@@ -0,0 +1 @@
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 128 128" id="redis"><path fill="#A41E11" d="M121.8 93.1c-6.7 3.5-41.4 17.7-48.8 21.6-7.4 3.9-11.5 3.8-17.3 1s-42.7-17.6-49.4-20.8c-3.3-1.6-5-2.9-5-4.2v-12.7s48-10.5 55.8-13.2c7.8-2.8 10.4-2.9 17-.5s46.1 9.5 52.6 11.9v12.5c0 1.3-1.5 2.7-4.9 4.4z"></path><path fill="#D82C20" d="M121.8 80.5c-6.7 3.5-41.4 17.7-48.8 21.6-7.4 3.9-11.5 3.8-17.3 1-5.8-2.8-42.7-17.7-49.4-20.9-6.6-3.2-6.8-5.4-.3-7.9 6.5-2.6 43.2-17 51-19.7 7.8-2.8 10.4-2.9 17-.5s41.1 16.1 47.6 18.5c6.7 2.4 6.9 4.4.2 7.9z"></path><path fill="#A41E11" d="M121.8 72.5c-6.7 3.5-41.4 17.7-48.8 21.6-7.4 3.8-11.5 3.8-17.3 1-5.8-2.8-42.7-17.7-49.4-20.9-3.3-1.6-5-2.9-5-4.2v-12.7s48-10.5 55.8-13.2c7.8-2.8 10.4-2.9 17-.5s46.1 9.5 52.6 11.9v12.5c0 1.3-1.5 2.7-4.9 4.5z"></path><path fill="#D82C20" d="M121.8 59.8c-6.7 3.5-41.4 17.7-48.8 21.6-7.4 3.8-11.5 3.8-17.3 1-5.8-2.8-42.7-17.7-49.4-20.9s-6.8-5.4-.3-7.9c6.5-2.6 43.2-17 51-19.7 7.8-2.8 10.4-2.9 17-.5s41.1 16.1 47.6 18.5c6.7 2.4 6.9 4.4.2 7.9z"></path><path fill="#A41E11" d="M121.8 51c-6.7 3.5-41.4 17.7-48.8 21.6-7.4 3.8-11.5 3.8-17.3 1-5.8-2.7-42.7-17.6-49.4-20.8-3.3-1.6-5.1-2.9-5.1-4.2v-12.7s48-10.5 55.8-13.2c7.8-2.8 10.4-2.9 17-.5s46.1 9.5 52.6 11.9v12.5c.1 1.3-1.4 2.6-4.8 4.4z"></path><path fill="#D82C20" d="M121.8 38.3c-6.7 3.5-41.4 17.7-48.8 21.6-7.4 3.8-11.5 3.8-17.3 1s-42.7-17.6-49.4-20.8-6.8-5.4-.3-7.9c6.5-2.6 43.2-17 51-19.7 7.8-2.8 10.4-2.9 17-.5s41.1 16.1 47.6 18.5c6.7 2.4 6.9 4.4.2 7.8z"></path><path fill="#fff" d="M80.4 26.1l-10.8 1.2-2.5 5.8-3.9-6.5-12.5-1.1 9.3-3.4-2.8-5.2 8.8 3.4 8.2-2.7-2.2 5.4zM66.5 54.5l-20.3-8.4 29.1-4.4z"></path><ellipse cx="38.4" cy="35.4" fill="#fff" rx="15.5" ry="6"></ellipse><path fill="#7A0C00" d="M93.3 27.7l17.2 6.8-17.2 6.8z"></path><path fill="#AD2115" d="M74.3 35.3l19-7.6v13.6l-1.9.8z"></path></svg>
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After Width: | Height: | Size: 1.8 KiB |
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