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50 lines
1.5 KiB
TypeScript
50 lines
1.5 KiB
TypeScript
import type { IExecuteFunctions, INodeExecutionData } from 'n8n-workflow';
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import { process } from './process';
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import type { GuardrailsOptions } from './types';
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import { hasLLMGuardrails } from '../helpers/configureNodeInputs';
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import { getChatModel } from '../helpers/model';
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export async function execute(this: IExecuteFunctions): Promise<INodeExecutionData[][]> {
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const items = this.getInputData();
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const operation = this.getNodeParameter('operation', 0) as 'classify' | 'sanitize';
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const model = hasLLMGuardrails(this.getNodeParameter('guardrails', 0) as GuardrailsOptions)
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? await getChatModel.call(this)
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: null;
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const failedItems: INodeExecutionData[] = [];
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const passedItems: INodeExecutionData[] = [];
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for (let i = 0; i < items.length; i++) {
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try {
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const responseData = await process.call(this, i, model);
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if (responseData.passed) {
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passedItems.push({
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json: { guardrailsInput: responseData.guardrailsInput, ...responseData.passed },
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pairedItem: { item: i },
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});
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}
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if (responseData.failed) {
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failedItems.push({
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json: { guardrailsInput: responseData.guardrailsInput, ...responseData.failed },
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pairedItem: { item: i },
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});
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}
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} catch (error) {
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if (this.continueOnFail()) {
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failedItems.push({
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json: { error: error.message, guardrailsInput: '' },
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pairedItem: { item: i },
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});
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} else {
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throw error;
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}
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}
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}
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if (operation === 'classify') {
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return [passedItems, failedItems];
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}
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return [passedItems];
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}
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