Files
FastGPT/packages/service/support/permission/auth/team.ts
Theresa 2d3117c5da feat: update ESLint config with @typescript-eslint/consistent-type-imports (#4746)
* update: Add type

* fix: update import statement for NextApiRequest type

* fix: update imports to use type for LexicalEditor and EditorState

* Refactor imports to use 'import type' for type-only imports across multiple files

- Updated imports in various components and API files to use 'import type' for better clarity and to optimize TypeScript's type checking.
- Ensured consistent usage of type imports in files related to chat, dataset, workflow, and user management.
- Improved code readability and maintainability by distinguishing between value and type imports.

* refactor: remove old ESLint configuration and add new rules

- Deleted the old ESLint configuration file from the app project.
- Added a new ESLint configuration file with updated rules and settings.
- Changed imports to use type-only imports in various files for better clarity and performance.
- Updated TypeScript configuration to remove unnecessary options.
- Added an ESLint ignore file to exclude build and dependency directories from linting.

* fix: update imports to use 'import type' for type-only imports in schema files
2025-05-06 17:33:09 +08:00

33 lines
1015 B
TypeScript

import { MongoTeamMember } from '../../user/team/teamMemberSchema';
import { checkTeamAIPoints } from '../teamLimit';
import { type UserModelSchema } from '@fastgpt/global/support/user/type';
import { type TeamSchema } from '@fastgpt/global/support/user/team/type';
import { TeamErrEnum } from '@fastgpt/global/common/error/code/team';
export async function getUserChatInfoAndAuthTeamPoints(tmbId: string) {
const tmb = await MongoTeamMember.findById(tmbId, 'userId teamId')
.populate<{ user: UserModelSchema; team: TeamSchema }>([
{
path: 'user',
select: 'timezone'
},
{
path: 'team',
select: 'openaiAccount externalWorkflowVariables'
}
])
.lean();
if (!tmb) return Promise.reject(TeamErrEnum.notUser);
await checkTeamAIPoints(tmb.team._id);
return {
timezone: tmb.user.timezone,
externalProvider: {
openaiAccount: tmb.team.openaiAccount,
externalWorkflowVariables: tmb.team.externalWorkflowVariables
}
};
}