FastGPT/src/pages/api/model/data/pushModelDataInput.ts
2023-04-29 15:59:53 +08:00

60 lines
1.5 KiB
TypeScript

import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { connectToDatabase } from '@/service/mongo';
import { authToken } from '@/service/utils/auth';
import { ModelDataSchema } from '@/types/mongoSchema';
import { generateVector } from '@/service/events/generateVector';
import { PgClient } from '@/service/pg';
import { authModel } from '@/service/utils/auth';
export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
try {
const { modelId, data } = req.body as {
modelId: string;
data: { a: ModelDataSchema['a']; q: ModelDataSchema['q'] }[];
};
const { authorization } = req.headers;
if (!authorization) {
throw new Error('无权操作');
}
if (!modelId || !Array.isArray(data)) {
throw new Error('缺少参数');
}
// 凭证校验
const userId = await authToken(authorization);
await connectToDatabase();
// 验证是否是该用户的 model
await authModel({
userId,
modelId
});
// 插入记录
await PgClient.insert('modelData', {
values: data.map((item) => [
{ key: 'user_id', value: userId },
{ key: 'model_id', value: modelId },
{ key: 'q', value: item.q },
{ key: 'a', value: item.a },
{ key: 'status', value: 'waiting' }
])
});
generateVector();
jsonRes(res, {
data: 0
});
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}