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
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@@ -5,10 +5,10 @@ import type {
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} from '@fastgpt/global/core/dataset/apiDataset';
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import { POST } from '@fastgpt/service/common/api/plusRequest';
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import {
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GetProApiDatasetFileContentParams,
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GetProApiDatasetFileDetailParams,
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GetProApiDatasetFileListParams,
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GetProApiDatasetFilePreviewUrlParams,
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type GetProApiDatasetFileContentParams,
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type GetProApiDatasetFileDetailParams,
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type GetProApiDatasetFileListParams,
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type GetProApiDatasetFilePreviewUrlParams,
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ProApiDatasetOperationTypeEnum
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} from '@fastgpt/service/core/dataset/apiDataset/proApi';
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@@ -1,16 +1,19 @@
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import { MongoDatasetData } from '@fastgpt/service/core/dataset/data/schema';
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import {
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CreateDatasetDataProps,
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PatchIndexesProps,
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UpdateDatasetDataProps
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type CreateDatasetDataProps,
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type PatchIndexesProps,
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type UpdateDatasetDataProps
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} from '@fastgpt/global/core/dataset/controller';
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import { insertDatasetDataVector } from '@fastgpt/service/common/vectorDB/controller';
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import { jiebaSplit } from '@fastgpt/service/common/string/jieba/index';
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import { deleteDatasetDataVector } from '@fastgpt/service/common/vectorDB/controller';
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import { DatasetDataIndexItemType, DatasetDataItemType } from '@fastgpt/global/core/dataset/type';
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import {
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type DatasetDataIndexItemType,
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type DatasetDataItemType
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} from '@fastgpt/global/core/dataset/type';
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import { getEmbeddingModel, getLLMModel } from '@fastgpt/service/core/ai/model';
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import { mongoSessionRun } from '@fastgpt/service/common/mongo/sessionRun';
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import { ClientSession } from '@fastgpt/service/common/mongo';
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import { type ClientSession } from '@fastgpt/service/common/mongo';
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import { MongoDatasetDataText } from '@fastgpt/service/core/dataset/data/dataTextSchema';
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import { DatasetDataIndexTypeEnum } from '@fastgpt/global/core/dataset/data/constants';
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import { splitText2Chunks } from '@fastgpt/global/common/string/textSplitter';
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@@ -1,7 +1,7 @@
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import { generateQA } from '@/service/events/generateQA';
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import { generateVector } from '@/service/events/generateVector';
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import { TrainingModeEnum } from '@fastgpt/global/core/dataset/constants';
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import { DatasetTrainingSchemaType } from '@fastgpt/global/core/dataset/type';
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import { type DatasetTrainingSchemaType } from '@fastgpt/global/core/dataset/type';
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import { MongoDatasetTraining } from '@fastgpt/service/core/dataset/training/schema';
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export const createDatasetTrainingMongoWatch = () => {
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