Files
FastGPT/src/pages/api/model/data/pushModelDataInput.ts
2023-04-04 22:12:48 +08:00

73 lines
1.8 KiB
TypeScript

import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { connectToDatabase, Model } from '@/service/mongo';
import { authToken } from '@/service/utils/tools';
import { ModelDataSchema } from '@/types/mongoSchema';
import { generateVector } from '@/service/events/generateVector';
import { connectRedis } from '@/service/redis';
import { VecModelDataPrefix, ModelDataStatusEnum } from '@/constants/redis';
export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
try {
const { modelId, data } = req.body as {
modelId: string;
data: { text: ModelDataSchema['text']; 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();
const redis = await connectRedis();
// 验证是否是该用户的 model
const model = await Model.findOne({
_id: modelId,
userId
});
if (!model) {
throw new Error('无权操作该模型');
}
const insertRes = await Promise.allSettled(
data.map((item) => {
return redis.sendCommand([
'HMSET',
`${VecModelDataPrefix}:${item.q.id}`,
'userId',
userId,
'modelId',
modelId,
'q',
item.q.text,
'text',
item.text,
'status',
ModelDataStatusEnum.waiting
]);
})
);
generateVector();
jsonRes(res, {
data: insertRes.filter((item) => item.status === 'rejected').length
});
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}