n8n
Version:
n8n Workflow Automation Tool
65 lines • 2.78 kB
JavaScript
;
var __decorate = (this && this.__decorate) || function (decorators, target, key, desc) {
var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;
if (typeof Reflect === "object" && typeof Reflect.decorate === "function") r = Reflect.decorate(decorators, target, key, desc);
else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r;
return c > 3 && r && Object.defineProperty(target, key, r), r;
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.TTWFGenerateCommand = void 0;
const decorators_1 = require("@n8n/decorators");
const zod_1 = require("zod");
const base_command_1 = require("../base-command");
const flagsSchema = zod_1.z.object({
prompt: zod_1.z
.string()
.alias('p')
.describe('Prompt to generate a workflow from. Mutually exclusive with --input.')
.optional(),
input: zod_1.z
.string()
.alias('i')
.describe('Input dataset file name. Mutually exclusive with --prompt.')
.optional(),
output: zod_1.z
.string()
.alias('o')
.describe('Output file name to save the results. Default is ttwf-results.jsonl')
.default('ttwf-results.jsonl'),
limit: zod_1.z
.number()
.int()
.alias('l')
.describe('Number of items from the dataset to process. Only valid with --input.')
.default(-1),
concurrency: zod_1.z
.number()
.int()
.alias('c')
.describe('Number of items to process in parallel. Only valid with --input.')
.default(1),
});
let TTWFGenerateCommand = class TTWFGenerateCommand extends base_command_1.BaseCommand {
async run() {
this.logger.error('This command is displayed until all ai-workflow builder related PR are merged');
}
async catch(error) {
this.logger.error('\nGOT ERROR');
this.logger.error('====================================');
this.logger.error(error.message);
this.logger.error(error.stack);
}
};
exports.TTWFGenerateCommand = TTWFGenerateCommand;
exports.TTWFGenerateCommand = TTWFGenerateCommand = __decorate([
(0, decorators_1.Command)({
name: 'ttwf:generate',
description: 'Create a workflow(s) using AI Text-to-Workflow builder',
examples: [
'$ n8n ttwf:generate --prompt "Create a telegram chatbot that can tell current weather in Berlin" --output result.json',
'$ n8n ttwf:generate --input dataset.jsonl --output results.jsonl',
],
flagsSchema,
})
], TTWFGenerateCommand);
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