/* 模型的知识库 */
import { connectionMongo, type Model } from '../../../common/mongo';
const { Schema, model, models } = connectionMongo;
import { DatasetTrainingSchemaType } from '@fastgpt/global/core/dataset/type';
import { TrainingTypeMap } from '@fastgpt/global/core/dataset/constant';
import { DatasetColCollectionName } from '../collection/schema';
import { DatasetCollectionName } from '../schema';

export const DatasetTrainingCollectionName = 'dataset.trainings';

const TrainingDataSchema = new Schema({
  userId: {
    type: Schema.Types.ObjectId,
    ref: 'user',
    required: true
  },
  datasetId: {
    type: Schema.Types.ObjectId,
    ref: DatasetCollectionName,
    required: true
  },
  datasetCollectionId: {
    type: Schema.Types.ObjectId,
    ref: DatasetColCollectionName,
    required: true
  },
  billId: {
    type: String,
    default: ''
  },
  mode: {
    type: String,
    enum: Object.keys(TrainingTypeMap),
    required: true
  },
  expireAt: {
    type: Date,
    default: () => new Date()
  },
  lockTime: {
    type: Date,
    default: () => new Date('2000/1/1')
  },
  model: {
    type: String,
    required: true
  },
  prompt: {
    // qa split prompt
    type: String,
    default: ''
  },
  q: {
    type: String,
    required: true
  },
  a: {
    type: String,
    default: ''
  }
});

try {
  TrainingDataSchema.index({ lockTime: 1 });
  TrainingDataSchema.index({ userId: 1 });
  TrainingDataSchema.index({ expireAt: 1 }, { expireAfterSeconds: 7 * 24 * 60 });
} catch (error) {
  console.log(error);
}

export const MongoDatasetTraining: Model<DatasetTrainingSchemaType> =
  models[DatasetTrainingCollectionName] || model(DatasetTrainingCollectionName, TrainingDataSchema);