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* 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
143 lines
3.0 KiB
TypeScript
143 lines
3.0 KiB
TypeScript
import { connectionMongo, getMongoModel } from '../../../common/mongo';
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const { Schema } = connectionMongo;
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import { type DatasetCollectionSchemaType } from '@fastgpt/global/core/dataset/type.d';
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import { DatasetCollectionTypeMap } from '@fastgpt/global/core/dataset/constants';
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import { ChunkSettings, DatasetCollectionName } from '../schema';
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import {
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TeamCollectionName,
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TeamMemberCollectionName
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} from '@fastgpt/global/support/user/team/constant';
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export const DatasetColCollectionName = 'dataset_collections';
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const DatasetCollectionSchema = new Schema({
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parentId: {
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type: Schema.Types.ObjectId,
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ref: DatasetColCollectionName,
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default: null
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},
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teamId: {
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type: Schema.Types.ObjectId,
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ref: TeamCollectionName,
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required: true
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},
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tmbId: {
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type: Schema.Types.ObjectId,
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ref: TeamMemberCollectionName,
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required: true
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},
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datasetId: {
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type: Schema.Types.ObjectId,
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ref: DatasetCollectionName,
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required: true
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},
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// Basic info
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type: {
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type: String,
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enum: Object.keys(DatasetCollectionTypeMap),
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required: true
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},
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name: {
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type: String,
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required: true
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},
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tags: {
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type: [String],
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default: []
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},
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createTime: {
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type: Date,
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default: () => new Date()
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},
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updateTime: {
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type: Date,
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default: () => new Date()
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},
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// Metadata
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// local file collection
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fileId: {
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type: Schema.Types.ObjectId,
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ref: 'dataset.files'
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},
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// web link collection
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rawLink: String,
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// Api collection
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apiFileId: String,
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// external collection(Abandoned)
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externalFileId: String,
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externalFileUrl: String, // external import url
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rawTextLength: Number,
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hashRawText: String,
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metadata: {
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type: Object,
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default: {}
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},
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forbid: Boolean,
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// next sync time
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nextSyncTime: Date,
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// Parse settings
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customPdfParse: Boolean,
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// Chunk settings
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...ChunkSettings
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});
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DatasetCollectionSchema.virtual('dataset', {
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ref: DatasetCollectionName,
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localField: 'datasetId',
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foreignField: '_id',
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justOne: true
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});
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try {
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// auth file
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DatasetCollectionSchema.index({ teamId: 1, fileId: 1 });
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// list collection; deep find collections
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DatasetCollectionSchema.index({
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teamId: 1,
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datasetId: 1,
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parentId: 1,
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updateTime: -1
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});
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// Tag filter
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DatasetCollectionSchema.index({ teamId: 1, datasetId: 1, tags: 1 });
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// create time filter
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DatasetCollectionSchema.index({ teamId: 1, datasetId: 1, createTime: 1 });
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// next sync time filter
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DatasetCollectionSchema.index(
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{ type: 1, nextSyncTime: -1 },
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{
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partialFilterExpression: {
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nextSyncTime: { $exists: true }
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}
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}
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);
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// Get collection by external file id
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DatasetCollectionSchema.index(
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{ datasetId: 1, externalFileId: 1 },
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{
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unique: true,
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partialFilterExpression: {
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externalFileId: { $exists: true }
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}
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}
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);
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} catch (error) {
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console.log(error);
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}
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export const MongoDatasetCollection = getMongoModel<DatasetCollectionSchemaType>(
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DatasetColCollectionName,
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DatasetCollectionSchema
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);
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