FastGPT/src/pages/api/model/create.ts
archer 2099a87908
feat: 模型数据管理
feat: 模型数据导入

feat: redis 向量入库

feat: 向量索引

feat: 文件导入模型

perf: 交互

perf: prompt
2023-03-30 21:45:54 +08:00

70 lines
1.9 KiB
TypeScript

// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { connectToDatabase } from '@/service/mongo';
import { authToken } from '@/service/utils/tools';
import { ModelStatusEnum, modelList, ChatModelNameEnum, ChatModelNameMap } from '@/constants/model';
import { Model } from '@/service/models/model';
export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
try {
const { name, serviceModelName } = req.body as {
name: string;
serviceModelName: `${ChatModelNameEnum}`;
};
const { authorization } = req.headers;
if (!authorization) {
throw new Error('无权操作');
}
if (!name || !serviceModelName) {
throw new Error('缺少参数');
}
// 凭证校验
const userId = await authToken(authorization);
const modelItem = modelList.find((item) => item.model === serviceModelName);
if (!modelItem) {
throw new Error('模型不存在');
}
await connectToDatabase();
// 上限校验
const authCount = await Model.countDocuments({
userId
});
if (authCount >= 20) {
throw new Error('上限 20 个模型');
}
// 创建模型
const response = await Model.create({
name,
userId,
status: ModelStatusEnum.running,
service: {
company: modelItem.serviceCompany,
trainId: '',
chatModel: ChatModelNameMap[modelItem.model], // 聊天时用的模型
modelName: modelItem.model // 最底层的模型,不会变,用于计费等核心操作
}
});
// 根据 id 获取模型信息
const model = await Model.findById(response._id);
jsonRes(res, {
data: model
});
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}