Files
FastGPT/packages/service/core/dataset/training/schema.ts
Archer e812ad6e84 feat: chunk index independent config (#4271)
* sync collection

* remove lock

* feat: chunk index independent config

* feat: add max chunksize to split chunk function

* remove log

* update doc

* remove

* remove log
2025-03-27 10:05:31 +08:00

131 lines
2.8 KiB
TypeScript

/* 模型的知识库 */
import { connectionMongo, getMongoModel } from '../../../common/mongo';
const { Schema } = connectionMongo;
import { DatasetTrainingSchemaType } from '@fastgpt/global/core/dataset/type';
import { TrainingModeEnum } from '@fastgpt/global/core/dataset/constants';
import { DatasetColCollectionName } from '../collection/schema';
import { DatasetCollectionName } from '../schema';
import {
TeamCollectionName,
TeamMemberCollectionName
} from '@fastgpt/global/support/user/team/constant';
import { DatasetDataIndexTypeEnum } from '@fastgpt/global/core/dataset/data/constants';
export const DatasetTrainingCollectionName = 'dataset_trainings';
const TrainingDataSchema = new Schema({
teamId: {
type: Schema.Types.ObjectId,
ref: TeamCollectionName,
required: true
},
tmbId: {
type: Schema.Types.ObjectId,
ref: TeamMemberCollectionName,
required: true
},
datasetId: {
type: Schema.Types.ObjectId,
required: true
},
collectionId: {
type: Schema.Types.ObjectId,
ref: DatasetColCollectionName,
required: true
},
billId: String,
mode: {
type: String,
enum: Object.values(TrainingModeEnum),
required: true
},
expireAt: {
// It will be deleted after 7 days
type: Date,
default: () => new Date()
},
lockTime: {
type: Date,
default: () => new Date('2000/1/1')
},
retryCount: {
type: Number,
default: 5
},
model: {
// ai model
type: String,
required: true
},
prompt: {
// qa split prompt
type: String,
default: ''
},
q: {
type: String,
default: ''
},
a: {
type: String,
default: ''
},
chunkIndex: {
type: Number,
default: 0
},
indexSize: Number,
weight: {
type: Number,
default: 0
},
dataId: {
type: Schema.Types.ObjectId
},
indexes: {
type: [
{
type: {
type: String,
enum: Object.values(DatasetDataIndexTypeEnum)
},
text: {
type: String,
required: true
}
}
],
default: []
}
});
TrainingDataSchema.virtual('dataset', {
ref: DatasetCollectionName,
localField: 'datasetId',
foreignField: '_id',
justOne: true
});
TrainingDataSchema.virtual('collection', {
ref: DatasetColCollectionName,
localField: 'collectionId',
foreignField: '_id',
justOne: true
});
try {
// lock training data(teamId); delete training data
TrainingDataSchema.index({ teamId: 1, datasetId: 1 });
// get training data and sort
TrainingDataSchema.index({ mode: 1, retryCount: 1, lockTime: 1, weight: -1 });
TrainingDataSchema.index({ expireAt: 1 }, { expireAfterSeconds: 7 * 24 * 60 * 60 }); // 7 days
} catch (error) {
console.log(error);
}
export const MongoDatasetTraining = getMongoModel<DatasetTrainingSchemaType>(
DatasetTrainingCollectionName,
TrainingDataSchema
);