FastGPT/packages/service/core/dataset/data/dataTextSchema.ts
Archer 2bf1fce32a
perf: file encoding;perf: leave team code;@c121914yu perf: full text search code (#3528)
* perf: text encoding

* perf: leave team code

* perf: full text search code

* fix: http status

* perf: embedding search and vector avatar
2025-01-06 12:43:33 +08:00

49 lines
1.3 KiB
TypeScript

import { connectionMongo, getMongoModel } from '../../../common/mongo';
const { Schema } = connectionMongo;
import { DatasetDataSchemaType } from '@fastgpt/global/core/dataset/type.d';
import { TeamCollectionName } from '@fastgpt/global/support/user/team/constant';
import { DatasetCollectionName } from '../schema';
import { DatasetColCollectionName } from '../collection/schema';
import { DatasetDataCollectionName } from './schema';
export const DatasetDataTextCollectionName = 'dataset_data_texts';
const DatasetDataTextSchema = new Schema({
teamId: {
type: Schema.Types.ObjectId,
ref: TeamCollectionName,
required: true
},
datasetId: {
type: Schema.Types.ObjectId,
ref: DatasetCollectionName,
required: true
},
collectionId: {
type: Schema.Types.ObjectId,
ref: DatasetColCollectionName,
required: true
},
dataId: {
type: Schema.Types.ObjectId,
ref: DatasetDataCollectionName,
required: true
},
fullTextToken: {
type: String,
required: true
}
});
try {
DatasetDataTextSchema.index({ teamId: 1, datasetId: 1, fullTextToken: 'text' });
DatasetDataTextSchema.index({ dataId: 1 }, { unique: true });
} catch (error) {
console.log(error);
}
export const MongoDatasetDataText = getMongoModel<DatasetDataSchemaType>(
DatasetDataTextCollectionName,
DatasetDataTextSchema
);