Archer 443ad37b6a
sub plan page (#885)
* perf: insert mongo dataset data session

* perf: dataset data index

* remove delay

* rename bill schema

* rename bill record

* perf: bill table

* perf: prompt

* perf: sub plan

* change the usage count

* feat: usage bill

* publish usages

* doc

* 新增团队聊天功能 (#20)

* perf: doc

* feat 添加标签部分

feat 信息团队标签配置

feat 新增团队同步管理

feat team分享页面

feat 完成team分享页面

feat 实现模糊搜索

style 格式化

fix 修复迷糊匹配

style 样式修改

fix 团队标签功能修复

* fix 修复鉴权功能

* merge 合并代码

* fix 修复引用错误

* fix 修复pr问题

* fix 修复ts格式问题

---------

Co-authored-by: archer <545436317@qq.com>
Co-authored-by: liuxingwan <liuxingwan.lxw@alibaba-inc.com>

* update extra plan

* fix: ts

* format

* perf: bill field

* feat: standard plan

* fix: ts

* feat 个人账号页面修改 (#22)

* feat 添加标签部分

feat 信息团队标签配置

feat 新增团队同步管理

feat team分享页面

feat 完成team分享页面

feat 实现模糊搜索

style 格式化

fix 修复迷糊匹配

style 样式修改

fix 团队标签功能修复

* fix 修复鉴权功能

* merge 合并代码

* fix 修复引用错误

* fix 修复pr问题

* fix 修复ts格式问题

* feat 修改个人账号页

---------

Co-authored-by: liuxingwan <liuxingwan.lxw@alibaba-inc.com>

* fix chunk index; error page text

* feat: dataset process Integral prediction

* feat: stand plan field

* feat: sub plan limit

* perf: index

* query extension

* perf: share link push app name

* perf: plan point unit

* perf: get sub plan

* perf: account page

---------

Co-authored-by: yst <77910600+yu-and-liu@users.noreply.github.com>
Co-authored-by: liuxingwan <liuxingwan.lxw@alibaba-inc.com>
2024-02-23 17:47:34 +08:00

71 lines
2.2 KiB
TypeScript

import { SubTypeEnum } from '@fastgpt/global/support/wallet/sub/constants';
import { MongoTeamSub } from './schema';
import {
FeTeamPlanStatusType,
StandSubPlanLevelMapType
} from '@fastgpt/global/support/wallet/sub/type.d';
import { getVectorCountByTeamId } from '../../../common/vectorStore/controller';
export const getTeamSubPlans = async ({
teamId,
standardPlans
}: {
teamId: string;
standardPlans?: StandSubPlanLevelMapType;
}): Promise<FeTeamPlanStatusType> => {
const [plans, usedDatasetSize] = await Promise.all([
MongoTeamSub.find({ teamId }).lean(),
getVectorCountByTeamId(teamId)
]);
const standard = plans.find((plan) => plan.type === SubTypeEnum.standard);
const extraDatasetSize = plans.filter((plan) => plan.type === SubTypeEnum.extraDatasetSize);
const extraPoints = plans.filter((plan) => plan.type === SubTypeEnum.extraPoints);
const totalPoints =
(standard?.totalPoints || 0) +
extraPoints.reduce((acc, cur) => acc + (cur.totalPoints || 0), 0);
const surplusPoints =
(standard?.surplusPoints || 0) +
extraPoints.reduce((acc, cur) => acc + (cur.surplusPoints || 0), 0);
const standardMaxDatasetSize =
standard?.currentSubLevel && standardPlans
? standardPlans[standard.currentSubLevel]?.maxDatasetSize || Infinity
: Infinity;
const totalDatasetSize =
standardMaxDatasetSize +
extraDatasetSize.reduce((acc, cur) => acc + (cur.currentExtraDatasetSize || 0), 0);
return {
[SubTypeEnum.standard]: standard,
standardConstants:
standard?.currentSubLevel && standardPlans
? standardPlans[standard.currentSubLevel]
: undefined,
totalPoints,
usedPoints: totalPoints - surplusPoints,
datasetMaxSize: totalDatasetSize,
usedDatasetSize
};
};
export const getTeamStandPlan = async ({
teamId,
standardPlans
}: {
teamId: string;
standardPlans?: StandSubPlanLevelMapType;
}) => {
const standard = await MongoTeamSub.findOne({ teamId, type: SubTypeEnum.standard }).lean();
return {
[SubTypeEnum.standard]: standard,
standardConstants:
standard?.currentSubLevel && standardPlans
? standardPlans[standard.currentSubLevel]
: undefined
};
};