hexabot/api/src/helper/lib/base-nlp-helper.ts
2024-10-21 15:11:06 +01:00

190 lines
4.8 KiB
TypeScript

/*
* Copyright © 2024 Hexastack. All rights reserved.
*
* Licensed under the GNU Affero General Public License v3.0 (AGPLv3) with the following additional terms:
* 1. The name "Hexabot" is a trademark of Hexastack. You may not use this name in derivative works without express written permission.
* 2. All derivative works must include clear attribution to the original creator and software, Hexastack and Hexabot, in a prominent location (e.g., in the software's "About" section, documentation, and README file).
*/
import { v4 as uuidv4 } from 'uuid';
import { LoggerService } from '@/logger/logger.service';
import {
NlpEntity,
NlpEntityDocument,
NlpEntityFull,
} from '@/nlp/schemas/nlp-entity.schema';
import { NlpSample, NlpSampleFull } from '@/nlp/schemas/nlp-sample.schema';
import {
NlpValue,
NlpValueDocument,
NlpValueFull,
} from '@/nlp/schemas/nlp-value.schema';
import { SettingService } from '@/setting/services/setting.service';
import { HelperService } from '../helper.service';
import { HelperSetting, HelperType, Nlp } from '../types';
import BaseHelper from './base-helper';
// eslint-disable-next-line prettier/prettier
export default abstract class BaseNlpHelper<
N extends string,
> extends BaseHelper<N> {
protected readonly type: HelperType = HelperType.NLU;
constructor(
name: N,
settings: HelperSetting<N>[],
settingService: SettingService,
helperService: HelperService,
logger: LoggerService,
) {
super(name, settings, settingService, helperService, logger);
}
/**
* Updates an entity
*
* @param entity - The updated entity
*
* @returns The updated entity otherwise an error
*/
async updateEntity(entity: NlpEntity): Promise<NlpEntity> {
return entity;
}
/**
* Adds an entity
*
* @param entity - The entity to add
* @returns The added entity otherwise an error
*/
addEntity(_entity: NlpEntityDocument): Promise<string> {
return new Promise((resolve, _reject) => {
return resolve(uuidv4());
});
}
/**
* Deletes an entity
*
* @param entityId - The entity ID to delete
*
* @return The deleted entity otherwise an error
*/
async deleteEntity(entityId: string): Promise<any> {
return entityId;
}
/**
* Update an entity value
*
* @param value - The updated update
*
* @returns The updated value otherwise it should throw an error
*/
async updateValue(value: NlpValue): Promise<NlpValue> {
return value;
}
/**
* Adds an entity value
*
* @param value - The value to add
*
* @returns The added value otherwise it should throw an error
*/
addValue(_value: NlpValueDocument): Promise<string> {
return new Promise((resolve, _reject) => {
return resolve(uuidv4());
});
}
/**
* Delete an entity value
*
* @param value - The value to delete
*
* @returns The deleted value otherwise an error
*/
async deleteValue(value: NlpValueFull): Promise<NlpValueFull> {
return value;
}
/**
* Returns training dataset in NLP provider compatible format
*
* @param samples - Sample to train
* @param entities - All available entities
*
* @returns The formatted NLP training set
*/
abstract format(samples: NlpSampleFull[], entities: NlpEntityFull[]): unknown;
/**
* Perform training request
*
* @param samples - Samples to train
* @param entities - All available entities
*
* @returns Training result
*/
abstract train(
samples: NlpSampleFull[],
entities: NlpEntityFull[],
): Promise<any>;
/**
* Perform evaluation request
*
* @param samples - Samples to evaluate
* @param entities - All available entities
*
* @returns NLP evaluation result
*/
abstract evaluate(
samples: NlpSampleFull[],
entities: NlpEntityFull[],
): Promise<any>;
/**
* Delete/Forget a sample
*
* @param sample - The sample to delete/forget
*
* @returns The deleted sample otherwise an error
*/
async forget(sample: NlpSample): Promise<NlpSample> {
return sample;
}
/**
* Returns only the entities that have strong confidence (> than the threshold), can return an empty result
*
* @param nlp - The nlp provider parse returned result
* @param threshold - Whenever to apply threshold filter or not
*
* @returns NLP Parsed entities
*/
abstract filterEntitiesByConfidence(
nlp: any,
threshold: boolean,
): Promise<Nlp.ParseEntities>;
/**
* Returns only the entities that have strong confidence (> than the threshold), can return an empty result
*
* @param text - The text to parse
* @param threshold - Whenever to apply threshold filter or not
* @param project - Whenever to request a specific model
*
* @returns NLP Parsed entities
*/
abstract predict(
text: string,
threshold?: boolean,
project?: string,
): Promise<Nlp.ParseEntities>;
}