dtamind-components
Version:
DTAmindai Components
77 lines • 2.9 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
const utils_1 = require("../../../src/utils");
const text_splitter_1 = require("langchain/text_splitter");
class TokenTextSplitter_TextSplitters {
constructor() {
this.label = 'Token Text Splitter';
this.name = 'tokenTextSplitter';
this.version = 1.0;
this.type = 'TokenTextSplitter';
this.icon = 'tiktoken.svg';
this.category = 'Text Splitters';
this.description = `Splits a raw text string by first converting the text into BPE tokens, then split these tokens into chunks and convert the tokens within a single chunk back into text.`;
this.baseClasses = [this.type, ...(0, utils_1.getBaseClasses)(text_splitter_1.TokenTextSplitter)];
this.inputs = [
{
label: 'Encoding Name',
name: 'encodingName',
type: 'options',
options: [
{
label: 'gpt2',
name: 'gpt2'
},
{
label: 'r50k_base',
name: 'r50k_base'
},
{
label: 'p50k_base',
name: 'p50k_base'
},
{
label: 'p50k_edit',
name: 'p50k_edit'
},
{
label: 'cl100k_base',
name: 'cl100k_base'
}
],
default: 'gpt2'
},
{
label: 'Chunk Size',
name: 'chunkSize',
type: 'number',
description: 'Number of characters in each chunk. Default is 1000.',
default: 1000,
optional: true
},
{
label: 'Chunk Overlap',
name: 'chunkOverlap',
type: 'number',
description: 'Number of characters to overlap between chunks. Default is 200.',
default: 200,
optional: true
}
];
}
async init(nodeData) {
const encodingName = nodeData.inputs?.encodingName;
const chunkSize = nodeData.inputs?.chunkSize;
const chunkOverlap = nodeData.inputs?.chunkOverlap;
const obj = {};
obj.encodingName = encodingName;
if (chunkSize)
obj.chunkSize = parseInt(chunkSize, 10);
if (chunkOverlap)
obj.chunkOverlap = parseInt(chunkOverlap, 10);
const splitter = new text_splitter_1.TokenTextSplitter(obj);
return splitter;
}
}
module.exports = { nodeClass: TokenTextSplitter_TextSplitters };
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