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301 lines
10 KiB
TypeScript
301 lines
10 KiB
TypeScript
import type { SystemDefaultModelType, SystemModelItemType } from '../type';
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import { ModelTypeEnum } from '@fastgpt/global/core/ai/constants';
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import { MongoSystemModel } from './schema';
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import {
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type LLMModelItemType,
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type EmbeddingModelItemType,
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type TTSModelType,
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type STTModelType,
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type RerankModelItemType
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} from '@fastgpt/global/core/ai/model';
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import { debounce } from 'lodash';
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import { getModelProvider } from '../../../core/app/provider/controller';
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import { findModelFromAlldata } from '../model';
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import {
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reloadFastGPTConfigBuffer,
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updateFastGPTConfigBuffer
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} from '../../../common/system/config/controller';
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import { delay } from '@fastgpt/global/common/system/utils';
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import { pluginClient } from '../../../thirdProvider/fastgptPlugin';
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import { setCron } from '../../../common/system/cron';
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import { preloadModelProviders } from '../../../core/app/provider/controller';
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import { refreshVersionKey } from '../../../common/cache';
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import { SystemCacheKeyEnum } from '../../../common/cache/type';
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export const loadSystemModels = async (init = false, language = 'en') => {
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if (!init && global.systemModelList) return;
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try {
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await preloadModelProviders();
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} catch (error) {
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console.log('Load systen model error, please check fastgpt-plugin', error);
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return Promise.reject(error);
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}
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let _systemModelList: SystemModelItemType[] = [];
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let _systemActiveModelList: SystemModelItemType[] = [];
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let _llmModelMap = new Map<string, LLMModelItemType>();
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let _embeddingModelMap = new Map<string, EmbeddingModelItemType>();
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let _ttsModelMap = new Map<string, TTSModelType>();
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let _sttModelMap = new Map<string, STTModelType>();
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let _reRankModelMap = new Map<string, RerankModelItemType>();
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let _systemDefaultModel: SystemDefaultModelType = {};
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if (!global.systemModelList) {
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global.systemModelList = [];
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global.systemActiveModelList = [];
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global.llmModelMap = new Map<string, LLMModelItemType>();
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global.embeddingModelMap = new Map<string, EmbeddingModelItemType>();
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global.ttsModelMap = new Map<string, TTSModelType>();
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global.sttModelMap = new Map<string, STTModelType>();
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global.reRankModelMap = new Map<string, RerankModelItemType>();
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global.systemDefaultModel = {};
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global.systemActiveDesensitizedModels = [];
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}
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const pushModel = (model: SystemModelItemType) => {
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_systemModelList.push(model);
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// Add default value
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if (model.type === ModelTypeEnum.llm) {
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model.datasetProcess = model.datasetProcess ?? true;
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model.usedInClassify = model.usedInClassify ?? true;
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model.usedInExtractFields = model.usedInExtractFields ?? true;
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model.usedInToolCall = model.usedInToolCall ?? true;
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model.useInEvaluation = model.useInEvaluation ?? true;
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}
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if (model.isActive) {
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_systemActiveModelList.push(model);
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if (model.type === ModelTypeEnum.llm) {
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_llmModelMap.set(model.model, model);
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_llmModelMap.set(model.name, model);
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if (model.isDefault) {
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_systemDefaultModel.llm = model;
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}
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if (model.isDefaultDatasetTextModel) {
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_systemDefaultModel.datasetTextLLM = model;
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}
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if (model.isDefaultDatasetImageModel) {
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_systemDefaultModel.datasetImageLLM = model;
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}
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} else if (model.type === ModelTypeEnum.embedding) {
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_embeddingModelMap.set(model.model, model);
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_embeddingModelMap.set(model.name, model);
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if (model.isDefault) {
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_systemDefaultModel.embedding = model;
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}
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} else if (model.type === ModelTypeEnum.tts) {
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_ttsModelMap.set(model.model, model);
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_ttsModelMap.set(model.name, model);
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if (model.isDefault) {
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_systemDefaultModel.tts = model;
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}
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} else if (model.type === ModelTypeEnum.stt) {
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_sttModelMap.set(model.model, model);
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_sttModelMap.set(model.name, model);
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if (model.isDefault) {
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_systemDefaultModel.stt = model;
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}
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} else if (model.type === ModelTypeEnum.rerank) {
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_reRankModelMap.set(model.model, model);
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_reRankModelMap.set(model.name, model);
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if (model.isDefault) {
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_systemDefaultModel.rerank = model;
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}
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}
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}
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};
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try {
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// Get model from db and plugin
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const [dbModels, systemModels] = await Promise.all([
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MongoSystemModel.find({}).lean(),
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pluginClient.model.list().then((res) => {
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if (res.status === 200) return res.body;
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console.error('Get fastGPT plugin model error');
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return [];
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})
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]);
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// Load system model from local
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systemModels.forEach((model) => {
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const mergeObject = (obj1: any, obj2: any) => {
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if (!obj1 && !obj2) return undefined;
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const formatObj1 = typeof obj1 === 'object' ? obj1 : {};
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const formatObj2 = typeof obj2 === 'object' ? obj2 : {};
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return { ...formatObj1, ...formatObj2 };
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};
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const dbModel = dbModels.find((item) => item.model === model.model);
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const provider = getModelProvider(dbModel?.metadata?.provider || model.provider, language);
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const modelData: any = {
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...model,
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...dbModel?.metadata,
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provider: provider.id,
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avatar: provider.avatar,
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type: dbModel?.metadata?.type || model.type,
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isCustom: false,
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...(model.type === ModelTypeEnum.llm && {
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maxResponse: model.maxTokens || 4000
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}),
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...(model.type === ModelTypeEnum.llm && dbModel?.metadata?.type === ModelTypeEnum.llm
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? {
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maxResponse: dbModel?.metadata?.maxResponse ?? model.maxTokens ?? 4000,
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defaultConfig: mergeObject(model.defaultConfig, dbModel?.metadata?.defaultConfig),
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fieldMap: mergeObject(model.fieldMap, dbModel?.metadata?.fieldMap),
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maxTokens: undefined
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}
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: {})
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};
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pushModel(modelData);
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});
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// Custom model(Not in system config)
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dbModels.forEach((dbModel) => {
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if (_systemModelList.find((item) => item.model === dbModel.model)) return;
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pushModel({
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...dbModel.metadata,
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isCustom: true
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});
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});
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// Default model check
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{
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if (!_systemDefaultModel.llm) {
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_systemDefaultModel.llm = Array.from(_llmModelMap.values())[0];
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}
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if (!_systemDefaultModel.datasetTextLLM) {
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_systemDefaultModel.datasetTextLLM = Array.from(_llmModelMap.values()).find(
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(item) => item.datasetProcess
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);
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}
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if (!_systemDefaultModel.datasetImageLLM) {
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_systemDefaultModel.datasetImageLLM = Array.from(_llmModelMap.values()).find(
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(item) => item.vision
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);
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}
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if (!_systemDefaultModel.embedding) {
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_systemDefaultModel.embedding = Array.from(_embeddingModelMap.values())[0];
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}
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if (!_systemDefaultModel.tts) {
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_systemDefaultModel.tts = Array.from(_ttsModelMap.values())[0];
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}
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if (!_systemDefaultModel.stt) {
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_systemDefaultModel.stt = Array.from(_sttModelMap.values())[0];
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}
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if (!_systemDefaultModel.rerank) {
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_systemDefaultModel.rerank = Array.from(_reRankModelMap.values())[0];
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}
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}
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// Sort model list
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_systemActiveModelList.sort((a, b) => {
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const providerA = getModelProvider(a.provider, language);
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const providerB = getModelProvider(b.provider, language);
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return providerA.order - providerB.order;
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});
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// Set global value
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{
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global.systemModelList = _systemModelList;
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global.systemActiveModelList = _systemActiveModelList;
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global.llmModelMap = _llmModelMap;
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global.embeddingModelMap = _embeddingModelMap;
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global.ttsModelMap = _ttsModelMap;
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global.sttModelMap = _sttModelMap;
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global.reRankModelMap = _reRankModelMap;
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global.systemDefaultModel = _systemDefaultModel;
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global.systemActiveDesensitizedModels = _systemActiveModelList.map((model) => ({
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...model,
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defaultSystemChatPrompt: undefined,
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fieldMap: undefined,
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defaultConfig: undefined,
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weight: undefined,
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dbConfig: undefined,
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queryConfig: undefined,
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requestUrl: undefined,
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requestAuth: undefined
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})) as SystemModelItemType[];
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}
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console.log(
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JSON.stringify(
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_systemActiveModelList.map((item) => ({
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provider: item.provider,
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model: item.model,
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name: item.name
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})),
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null,
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2
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),
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`Load models success, total: ${_systemModelList.length}, active: ${_systemActiveModelList.length}`
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);
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} catch (error) {
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console.error('Load models error', error);
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return Promise.reject(error);
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}
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};
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export const getSystemModelConfig = async (model: string): Promise<SystemModelItemType> => {
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const modelData = findModelFromAlldata(model);
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if (!modelData) return Promise.reject('Model is not found');
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if (modelData.isCustom) return Promise.reject('Custom model not data');
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// Read file
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const modelDefaulConfig = await pluginClient.model.list().then((res) => {
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if (res.status === 200) {
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return res.body.find((item) => item.model === model) as SystemModelItemType;
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}
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return Promise.reject('Can not get model config from plugin');
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});
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return {
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...modelDefaulConfig,
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provider: modelData.provider,
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isCustom: false
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};
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};
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export const watchSystemModelUpdate = () => {
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const changeStream = MongoSystemModel.watch();
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return changeStream.on(
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'change',
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debounce(async () => {
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try {
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// Main node will reload twice
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await loadSystemModels(true);
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// All node reaload buffer
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await reloadFastGPTConfigBuffer();
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} catch (error) {}
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}, 500)
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);
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};
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// 更新完模型后，需要重载缓存
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export const updatedReloadSystemModel = async () => {
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// 1. 更新模型（所有节点都会触发）
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await loadSystemModels(true);
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// 2. 更新缓存（仅主节点触发）
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await updateFastGPTConfigBuffer();
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await refreshVersionKey(SystemCacheKeyEnum.modelPermission, '*');
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// 3. 延迟1秒，等待其他节点刷新
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await delay(1000);
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};
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export const cronRefreshModels = async () => {
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setCron('*/5 * * * *', async () => {
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// 1. 更新模型（所有节点都会触发）
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await loadSystemModels(true);
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// 2. 更新缓存（仅主节点触发）
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await updateFastGPTConfigBuffer();
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});
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};
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