beta/app/w/[workspaceID]/p/[projectID]/features/gen/route.ts
Christopher Arraya bcf3f113ad i'm done
2023-11-05 07:34:37 -05:00

84 lines
2.3 KiB
TypeScript

import { generateFeatures } from "@/lib/prompts";
import { v4 as uuidv4 } from "uuid";
import { NextRequest, NextResponse } from "next/server";
import { createRouteHandlerClient } from "@supabase/auth-helpers-nextjs";
import { cookies } from "next/headers";
import { Database } from "@/types/supabase";
import { prisma } from "@/lib/prisma";
import { OpenAIEmbeddings } from "langchain/embeddings/openai";
import { completion } from "zod-gpt";
import * as z from "zod";
import { OpenAIChatApi } from "llm-api";
const MIN_FEATURES_PER_PROJECT = 6;
const MAX_FEATURES_PER_PROJECT = 12;
const OPENAI_MODEL = "gpt-3.5-turbo-16k";
const openai = new OpenAIChatApi(
{
apiKey: process.env.OPENAI_API_KEY!,
},
{
model: OPENAI_MODEL,
}
);
async function getSession(supabase: any) {
const {
data: { session },
} = await supabase.auth.getSession();
return session;
}
export async function POST(req: NextRequest) {
const supabase = createRouteHandlerClient<Database>({ cookies });
const session = await getSession(supabase);
if (!session) return NextResponse.redirect("/auth");
try {
const formData = await req.json();
const project_name = String(formData.project_name);
const project_description = String(formData.project_description);
const project_stack = formData.tech_stack;
// console.log("SERVER FORM DATA ===>", project_stack);
const feature_gen_prompt = generateFeatures(
project_name,
project_description,
project_stack
);
const res = await completion(openai, feature_gen_prompt, {
schema: z.object({
features: z
.array(
z.object({
name: z.string().describe("The name of the feature"),
description: z
.string()
.describe("The description of the feature"),
})
)
.min(MIN_FEATURES_PER_PROJECT)
.max(MAX_FEATURES_PER_PROJECT),
}),
});
const featuresWithUUID = res.data.features.map((feature) => ({
...feature,
uid: uuidv4(), // Add a UUID to each feature object
}));
console.log("SERVER RES ===>", featuresWithUUID);
return NextResponse.json({ features: featuresWithUUID }, { status: 200 });
} catch (err) {
console.log(err);
return NextResponse.json({ error: err }, { status: 500 });
}
}