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// import db from "../../lib/db";
import { z } from "zod";
import { NLP } from "sortug-ai";
const schema = z.object({
app: z.enum(["stanza", "spacy"]),
text: z.string().min(3, "minimum 3 characters"),
lang: z
.custom<string>((val) => {
const check = NLP.ISO.BCP47.parse(val);
if (!check.language) return false;
const twochars = Object.values(NLP.ISO.iso6393To1);
return twochars.includes(check.language);
})
.optional(),
});
export const POST = async (request: Request): Promise<Response> => {
const bod = await request.json();
const { app, text, lang } = await schema.parseAsync(bod);
try {
const res =
app === "stanza"
? NLP.Stanza.segmenter(text, lang)
: NLP.Spacy.run(text, lang);
const r = await res;
return Response.json(r, { status: 200 });
} catch (error) {
return Response.json({ message: "Failure" }, { status: 500 });
}
};
type AnalyzeRes = {
word: string;
syllables: string[];
ipa: string;
pos: string;
};
export async function thaiData(word: string): Promise<AnalyzeRes[]> {
const [head, tail] = await Promise.all([
analyzeTHWord(word),
segmentateThai(word),
]);
return [head, ...tail];
}
export async function analyzeTHWord(word: string): Promise<AnalyzeRes> {
const opts = {
method: "POST",
headers: { "Content-type": "application/json" },
body: JSON.stringify({ word }),
};
const r1 = await fetch("http://localhost:8001" + "/analyze", opts);
// const r2 = await fetch(`http://192.168.1.110:8000/analyze`, opts);
const jj = await r1.json();
return jj;
}
export async function segmentateThai(sentence: string): Promise<AnalyzeRes[]> {
const opts = {
method: "POST",
headers: { "Content-type": "application/json" },
body: JSON.stringify({ word: sentence }),
};
// const r1 = await fetch(`http://localhost:8000/segmentate`, opts);
const r2 = await fetch("http://localhost:8001" + `/segmentate`, opts);
const jj = await r2.json();
return jj;
}
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