const productDB = [
  { name: 'Macbook Pro', description: 'M2, 32GB', in_stock: 4321 },
  { name: 'Macbook Pro', description: 'M2, 96GB', in_stock: 2 },
];

const productSearch = (text) => {
  return JSON.stringify(productDB.filter((v) => text.includes(v.name)));
};

const actions = [
  {
    name: 'Product Search',
    description: 'Used to search up a products information by its name',
    action: productSearch,
  },
];

const prompt = new QuestionAnswerPrompt(actions);
const gen = new GenerateText(ai);

// Customer support email
const customerQuery = `Do you guys have 5 Macbook Pro's M2 with 96GB RAM and 3 iPads in stock?`;

await gen.generate(query, prompt);

const entities = [
  { name: BusinessInfo.ProductName },
  { name: BusinessInfo.IssueDescription },
  { name: BusinessInfo.IssueSummary },
  { name: BusinessInfo.PaymentMethod, classes: ['Cash', 'Credit Card'] },
];

const prompt = new ExtractInfoPrompt(entities);
const gen = new GenerateText(ai);

const customerMessage = `
I am writing to report an issue with my recent order #12345. I received the package yesterday, but 
unfortunately, the product that I paid for with cash (XYZ Smartwatch) is not functioning properly. 
When I tried to turn it on, the screen remained blank, and I couldn't get it to respond to any of 
the buttons.

Jane Doe`;

const res = await gen.generate(customerMessage, prompt);

const product = {
  name: 'Acme Toilet Cleaning',
  description: '24/7 Commercial and residential restroom cleaning services',
};

const to = {
  name: 'Jerry Doe',
  title: 'Head of facilities and operations',
  company: 'Blue Yonder Inc.',
};

const prompt = new MessagePrompt({ type: MessageType.Text }, product, to);
const gen = new GenerateText(ai);

const context = `
1. Under 160 characters
2. Prompts recipients to book an call
3. Employs emojis and friendly language
`;

const res = await gen.generate(context, prompt);
console.log(res.value());

import {
  Cohere,
  AlephAlpha,
  OpenAI,
  Memory,
  GenerateText,
  AssistantPrompt,
} from '@dosco/minds';

// const ai = new Cohere(process.env.COHERE_APIKEY)
// const ai = new AlephAlpha(process.env.AALPHA_APIKEY)

const ai = new OpenAI(process.env.OPENAI_APIKEY);

const prompt = new AssistantPrompt();
const gen = new GenerateText(ai);

await gen.generate(`How far is the sun from the moon?`, prompt);
await gen.generate(`And from mars?`, prompt);
await gen.generate(`Will it ever end?`, prompt);

// Use Cohere AI
const ai = new Cohere(process.env.COHERE_APIKEY);

// Use OpenAI
const ai = new OpenAI(process.env.OPENAI_APIKEY);

// Can be sub classed to build you own memory backends
// like one that uses redis or a database
const mem = new Memory();

// For building conversational chat based AI workflows
const prompt = new AssistantPrompt();

// For building question answer workflows where the
// AI can search the web, or lookup your database to
// answer questions
const prompt = new QuestionAnswerPrompt(actions);

// Use this for all text generation tasks
const gen = new GenerateText(ai, mem);

// Query the AI
const res = await gen.generate(
  `Do we have the product the email referes to in stock? 
  Email: I'm looking for a Macbook Pro M2 With 96GB RAM.`,
  prompt
);

// Get the response
console.log('>', res.value);

// Action without embeddings
const productSearch(text) {
  return result
}

// Action with embeddings
const productSearch(text, embeds) {
  return result
}

const actions = [
  {
    name: 'Product Search',
    description: 'Used to search up a products information by its name',
    action: productSearch,
  },
  {
    name: 'Customer Issues Search',
    description: 'Used to search the customer support database for solutions',
    action: wolframAlphaSearch,
  },
];

const prompt = new QuestionAnswerPrompt(actions);