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simply-prompt

v1.0.5

Published

a safe and simple prompt utility.

Downloads

13

Readme

simply-prompt

a safe and simple prompt utility.

Creating individual prompts

import { SP } from "simply-prompt";

const prompt = SP.create();

(async() => {

  const firstName = await prompt.getInput({
     message: "First name",
     schema: z.string()
  });

  const lastName = await prompt.getInput({
     message: "Last name",
     schema: z.string()
  });

  const is21 = await prompt.getInput({
      message: "Are you at least 21?",
      schema: zod.coerce.boolean(),
      transform: (input) => {
          input = input.toLowerCase();
          if (input == "y" || input == "yes") {
              return true 
          } else if (input == "n" || input == "no") {
              return false
          }
       } 
   });
  
  console.log(firstName, lastName, is21);

  // nick commit true

})();

example output

powered by zod
create(options?: OptionalPrompt): SPInstance

prompt(options: PromptOptions) => SchemaReturnType 
(SchemaReturnType is primative string / boolean / number)

promptBucket({ [K: string]: PromptOptions }) => BucketResponse 

type PromptOptions = {
   message: string,
   schema: zod.Schema,
   delimiter?: string,
   color?: Color,
   transform?: (input: string) => SchemaReturnType<T> | undefined,
}

// zod is doing all of the magic here :)
type SchemaReturnType<T extends zod.Schema> z.infer<T>;

Creating a Prompt Bucket

(async () => {
   
   const prompt = SP.create();
   
   const bucket = await prompt.promptBucket({
       "first_name": {
           message: "Enter your first name",
           schema: z.string()
       },
       "last_name": {
           message: "Enter your last name",
           schema: z.string()
       },
       "age": {
           message: "Enter your age",
           schema: z.coerce.number()
       }
   });

   const { first_name,  last_name, age } = bucket;

   // typeof first_name = string
   // typeof last_name = string
   // typeof age = number

})()
  • there is no need for shapes more complex than string, boolean & number.
  • this is because you can cast your prompt types to more complex types
example:
import { SP } from "simply-prompt";
import { z } from "zod";

(async () => {
   
   const prompt = SP.create();
   
   const bucket1 = await prompt.promptBucket({
       "first_name": {
           message: "Enter your first name",
           schema: z.string()
       },
       "last_name": {
           message: "Enter your last name",
           schema: z.coerce.boolean()
       },
       "age": {
           message: "Enter your age",
           schema: z.coerce.number()
       },
       "favorite_food": {
           message: "Enter your favorite food",
           schema: z.string()
       },
       "favorite_color": {
           message: "Enter your favorite color",
           schema: z.string()
       },
   });

   const { 
      first_name,
      last_name, 
      age,
      favorite_food,
      favorite_color
    } = bucket1;

   const Nick = {
       identity: {
           first_name,
           last_name,
           age
       },
       preferences: {
           favorite_food,
           favorite_color
       }
   }

   /*
   shape of "Nick" {
       identity: {
           first_name: string;
           last_name: string;
           age: number;
       };
       preferences: {
           favorite_food: string;
           favorite_color: string;
       };
   }
   */

})()