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Implement logging to db

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This commit is contained in:
Skylar Grant 2023-05-31 08:33:03 -04:00
parent efdc605dc0
commit 200468ac10
3 changed files with 11 additions and 2 deletions
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8
functions.js
View File

@ -391,7 +391,7 @@ const functions = {
const gptEmbed = new Discord.MessageEmbed()
.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.usd}¢` })
.setFooter({ text: `This prompt used ${usage.tokens} tokens for a cost of ${usage.usdc}¢` })
return { embeds: [gptEmbed] };
}
},
@ -488,6 +488,12 @@ const functions = {
resolve();
});
})
},
openai(user, prompt, engine, tokens, usdc) {
const query = `INSERT INTO openai (user, prompt, engine, tokens, usdc) VALUES (${db.escape(user)}, ${db.escape(prompt)}, ${db.escape(engine)}, ${db.escape(tokens)}, ${db.escape(usdc)})`;
db.query(query, (err) => {
if (err) throw err;
});
}
},
download: {

3
slash-commands/chat.js
View File

@ -17,9 +17,10 @@ module.exports = {
const responseText = response.choices[0].text.slice(2);
const usage = {
tokens: response.usage.total_tokens,
usd: response.usage.total_tokens * ( 0.2 / 1000 ) // 0.2¢ per 1000 tokens or 0.0002¢ per token.
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);
},
};

2
slash-commands/dalle.js
View File

@ -1,5 +1,6 @@
const { SlashCommandBuilder } = require('@discordjs/builders');
const fn = require('../functions.js');
const strings = require("../strings.json");
module.exports = {
data: new SlashCommandBuilder()
@ -28,6 +29,7 @@ module.exports = {
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}`);