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13 changed files with 100 additions and 64 deletions

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.DS_Store vendored

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.gitignore vendored
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@ -114,4 +114,3 @@ dist
# TernJS port file
.tern-port
.DS_Store

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@ -5,5 +5,4 @@ WORKDIR /usr/src/app
COPY package.json ./
RUN npm install
COPY . .
# CMD ["/bin/sh", "-c", "node main.js 2> /logs/nodbot.error 1> /logs/nodbot.log"]
CMD ["/bin/sh", "-c", "node main.js 2> /logs/$(date +%Y-%m-%d_%H-%M-%S)-error.txt 1> /logs/$(date +%Y-%m-%d_%H-%M-%S)-status.txt"]
CMD ["/bin/sh", "-c", "node main.js 2> /logs/nodbot.error 1> /logs/nodbot.log"]

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@ -1,5 +1,4 @@
{
"guildId": "868542949737246730",
"validCommands": [],
"roaches": []
"validCommands": []
}

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@ -5,33 +5,13 @@ module.exports = {
name: 'joint',
description: 'Send a random weed-themed phrase.',
usage: '.joint',
alias: ['bong', 'blunt', 'bowl', 'pipe', 'dab', 'vape', 'dabs', 'shatter', 'edible', 'edibles', 'doobie', 'spliff', 'gummy', 'gummies', 'hash', 'toke', 'big doinks'],
alias: ['bong', 'blunt', 'bowl', 'pipe'],
execute(message, commandData) {
let joints = [];
// Create a simple array of the joint texts
for (const entry of message.client.joints.map(joint => joint.content)) {
joints.push(entry);
}
// Generate a random number between 0 and the length of the joints array
let randIndex = Math.floor(Math.random() * joints.length);
// Grab the joint text from the array
let joint = joints[randIndex];
// Check if the joint has already been smoked
while (message.client.roaches.has(joint)) {
// Regenerate a random number and recheck
randIndex = Math.floor(Math.random() * joints.length);
joint = joints[randIndex];
}
// Send the joint
const randIndex = Math.floor(Math.random() * joints.length);
message.reply(`${joints[randIndex]} ${emoji.joint}`);
// Check how full the roach collection is
if (message.client.roaches.size / joints.length >= 0.85) {
// If the roach collection is 85% of the joints collection
// Empty it out
message.client.roaches.clear();
}
// Add the joint to the roach collection
message.client.roaches.set(joint, "baked");
}
}

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@ -8,9 +8,7 @@ module.exports = {
const client = message.client;
let pastaData;
if (!client.pastas.has(commandData.args)) {
pastaData = {
content: "Sorry, I couldn't find that pasta."
};
commandData.content = 'Sorry I couldn\'t find that pasta.';
} else {
pastaData = client.pastas.get(commandData.args);
}

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@ -22,8 +22,20 @@ const Discord = require('discord.js');
const FuzzySearch = require('fuzzy-search');
// OpenAI
// const OpenAI = require("openai");
// const openai = new OpenAI();
const { Configuration, OpenAIApi } = require("openai");
const configuration = new Configuration({
apiKey: process.env.OPENAI_API_KEY,
});
const openai = new OpenAIApi(configuration);
async function openAIStatus(o) {
const response = await o.listModels();
const models = response.data.data;
models.forEach(e => {
console.log(`Model ID: ${e.id}`);
});
};
openAIStatus(openai);
// Various imports from other files
const config = require('./config.json');
@ -149,7 +161,7 @@ const functions = {
if (isDev) console.log('Strains Collection Built');
},
medicalAdvice(rows, client) {
if (!client.medicalAdviceColl) client.medicalAdviceColl = new Discord.Collection();
if (!client.medicalAdviceCol) client.medicalAdviceColl = new Discord.Collection();
client.medicalAdviceColl.clear();
for (const row of rows) {
const medicalAdvice = {
@ -160,11 +172,6 @@ const functions = {
}
if (isDev) console.log('Medical Advice Collection Built');
},
roaches(client) {
if (!client.roaches) client.roaches = new Discord.Collection();
client.roaches.clear();
if (isDev) console.log('Medical Advice Collection Built');
}
},
dot: {
getCommandData(message) {
@ -267,7 +274,7 @@ const functions = {
return { embeds: [ new Discord.MessageEmbed()
.setAuthor({name: `${commandData.args}.${commandData.command}`})
.setDescription(pastaData.content)
.setThumbnail("https://assets.vfsh.dev/shednod.png")
.setThumbnail(pastaData.iconUrl)
.setTimestamp()
.setFooter({text: commandData.author})]};
},
@ -372,9 +379,9 @@ const functions = {
},
gpt(prompt, response, usage) {
const gptEmbed = new Discord.MessageEmbed()
.setAuthor({ name: "NodBot powered by GPT-3.5", iconURL: "https://assets.vfsh.dev/openai-logos/PNGs/openai-logomark.png" })
.setAuthor({ name: "NodBot powered by GPT-3", iconURL: "https://assets.vfsh.dev/openai-logos/PNGs/openai-logomark.png" })
.setDescription(`**Prompt**\n${prompt}\n\n**Response**\n${response}`)
.setFooter({ text: `This prompt used ${usage.tokens} tokens for a cost of ${usage.usdc}¢. Generated using ${strings.ai.chatModel}` })
.setFooter({ text: `This prompt used ${usage.tokens} tokens for a cost of ${usage.usdc}¢` })
return { embeds: [gptEmbed] };
},
generatingResponse() {
@ -400,13 +407,12 @@ const functions = {
functions.download.requests(client);
});
},
async pasta(pastaData, client) {
pasta(pastaData, client) {
const query = `INSERT INTO pastas (name, content) VALUES (${db.escape(pastaData.name)},${db.escape(pastaData.content)}) ON DUPLICATE KEY UPDATE content=${db.escape(pastaData.content)}`;
await db.query(query, (err, rows, fields) => {
db.query(query, (err, rows, fields) => {
if (err) throw err;
functions.download.pastas(client);
});
return;
},
joint(content, client) {
const query = `INSERT INTO joints (content) VALUES (${db.escape(content)})`;
@ -564,17 +570,16 @@ const functions = {
openAI: {
chatPrompt(userPrompt) {
return new Promise(async (resolve, reject) => {
const response = await openai.chat.completions.create({
messages: [{
role: 'user',
content: userPrompt
}],
model: strings.ai.chatModel
const response = await openai.createCompletion({
model: 'text-davinci-003',
prompt: userPrompt,
temperature: 0.7,
max_tokens: 250
}).catch(e => {
reject(e);
return null;
});
resolve(response);
resolve(response.data);
});
},
imagePrompt(userPrompt, size, userId) {

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@ -34,7 +34,6 @@ client.once('ready', () => {
fn.collections.slashCommands(client);
fn.collections.dotCommands(client);
fn.collections.setvalidCommands(client);
fn.collections.roaches(client);
fn.download.gifs(client);
fn.download.pastas(client);
fn.download.joints(client);
@ -223,11 +222,8 @@ client.on('messageCreate', message => {
// Wildcard Responses, will respond if any message contains the trigger word(s), excluding self-messages
const lowerContent = message.content.toLowerCase();
// big + doinks
if (lowerContent.includes('big') && lowerContent.includes('doinks')) message.reply('gang.');
// ligma
if (lowerContent.includes('ligma')) message.reply('ligma balls, goteem');
// frfr, fr fr , bussin, ong
if (lowerContent.includes('frfr') || lowerContent.includes('fr fr') || lowerContent.includes('bussin') || lowerContent.includes(' ong') || lowerContent.startsWith('ong')) {
const randIndex = Math.floor(Math.random() * strings.capbacks.length);
message.reply(strings.capbacks[randIndex]);

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@ -12,7 +12,7 @@
"dotenv": "^10.0.0",
"fuzzy-search": "^3.2.1",
"mysql": "^2.18.1",
"openai": "^4.12.0",
"openai": "^3.2.1",
"tenorjs": "^1.0.10"
},
"engines": {

27
slash-commands/chat.js Normal file
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@ -0,0 +1,27 @@
const { SlashCommandBuilder } = require('@discordjs/builders');
const fn = require('../functions.js');
module.exports = {
data: new SlashCommandBuilder()
.setName('chat')
.setDescription('Send a message to ChatGPT')
.addStringOption(o =>
o.setName("prompt")
.setDescription("Prompt to send to ChatGPT")
.setRequired(true)
),
async execute(interaction) {
await interaction.deferReply();
await interaction.editReply(fn.embeds.generatingResponse());
const userPrompt = interaction.options.getString("prompt");
const response = await fn.openAI.chatPrompt(userPrompt).catch(e => console.error(e));
const responseText = response.choices[0].text;
const usage = {
tokens: response.usage.total_tokens,
usdc: response.usage.total_tokens * ( 0.2 / 1000 ) // 0.2¢ per 1000 tokens or 0.0002¢ per token.
};
const gptEmbed = fn.embeds.gpt(userPrompt, responseText, usage);
await interaction.editReply(gptEmbed);
fn.upload.openai(interaction.user.id, userPrompt, "gpt-3.5-turbo", usage.tokens, usage.usdc);
},
};

40
slash-commands/dalle.js Normal file
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@ -0,0 +1,40 @@
const { SlashCommandBuilder } = require('@discordjs/builders');
const fn = require('../functions.js');
const strings = require("../strings.json");
module.exports = {
data: new SlashCommandBuilder()
.setName('dalle')
.setDescription('Generate an image with DALL-e')
.addStringOption(o =>
o.setName("prompt")
.setDescription("Prompt to send to DALL-e")
.setRequired(true)
)
.addStringOption(o =>
o.setName("size")
.setDescription("1024x1024, 512x512, 256x256")
.setRequired(false)
.addChoices(
{ name: "1024x1024 (2¢)", value: "1024x1024" },
{ name: "512x512 (1.8¢)", value: "512x512" },
{ name: "256x256 (1.6¢)", value: "256x256" }
)),
async execute(interaction) {
try {
await interaction.deferReply();
await interaction.editReply(fn.embeds.generatingResponse());
const userPrompt = interaction.options.getString("prompt");
const size = interaction.options.getString("size") ? interaction.options.getString("size") : "512x512";
const imageUrl = await fn.openAI.imagePrompt(userPrompt, size);
const dalleEmbed = fn.embeds.dalle(userPrompt, imageUrl, size);
await interaction.editReply(dalleEmbed);
fn.upload.openai(interaction.user.id, userPrompt, "dalle", 0, strings.costs.dalle[size]);
} catch (err) {
const errorId = fn.generateErrorId();
console.error(`${errorId}: ${err}`);
await interaction.editReply(`An error has occured. Error ID: ${errorId}\n${err}`);
}
},
};

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@ -207,7 +207,7 @@ module.exports = {
name: interaction.options.getString('pasta-name').toLowerCase(),
content: interaction.options.getString('pasta-content'),
};
await fn.upload.pasta(pastaData, interaction.client);
fn.upload.pasta(pastaData, interaction.client);
interaction.editReply({content: `The copypasta has been saved as ${pastaData.name}.pasta`, ephemeral: true });
break;
// Strain

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@ -32,12 +32,5 @@
"1024x1024": 2.0
}
},
"ai": {
"chatModel": "gpt-3.5-turbo",
"chatPromptCentsPer": 0.15,
"chatPromptUnits": 1000,
"chatResCentsPer": 0.2,
"chatResUnits": 1000
},
"temp": {}
}