mirror of
https://github.com/infiniflow/ragflow.git
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### What problem does this PR solve? refactor: Moves the LLM factory initialization logic to the `dao` package. Removes the `init_data` package and integrates the LLM factory initialization functionality into the `dao` package. Adds a `utility` package to provide general utility functions. Updates `server_main.go` to use the new initialization path. ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) Co-authored-by: Jin Hai <haijin.chn@gmail.com>
254 lines
6.6 KiB
Go
254 lines
6.6 KiB
Go
//
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// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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package dao
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import (
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"encoding/json"
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"fmt"
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"log"
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"os"
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"path/filepath"
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"time"
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"ragflow/internal/logger"
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"ragflow/internal/model"
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"ragflow/internal/server"
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"ragflow/internal/utility"
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gormLogger "gorm.io/gorm/logger"
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"gorm.io/driver/mysql"
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"gorm.io/gorm"
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)
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var DB *gorm.DB
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// LLMFactoryConfig represents a single LLM factory configuration
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type LLMFactoryConfig struct {
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Name string `json:"name"`
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Logo string `json:"logo"`
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Tags string `json:"tags"`
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Status string `json:"status"`
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Rank string `json:"rank"`
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LLM []LLMConfig `json:"llm"`
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}
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// LLMConfig represents a single LLM model configuration
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type LLMConfig struct {
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LLMName string `json:"llm_name"`
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Tags string `json:"tags"`
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MaxTokens int64 `json:"max_tokens"`
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ModelType string `json:"model_type"`
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IsTools bool `json:"is_tools"`
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}
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// LLMFactoriesFile represents the structure of llm_factories.json
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type LLMFactoriesFile struct {
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FactoryLLMInfos []LLMFactoryConfig `json:"factory_llm_infos"`
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}
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// InitDB initialize database connection
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func InitDB() error {
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cfg := server.GetConfig()
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dbCfg := cfg.Database
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dsn := fmt.Sprintf("%s:%s@tcp(%s:%d)/%s?charset=%s&parseTime=True&loc=Local",
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dbCfg.Username,
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dbCfg.Password,
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dbCfg.Host,
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dbCfg.Port,
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dbCfg.Database,
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dbCfg.Charset,
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)
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// Set log level
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var gormLogLevel gormLogger.LogLevel
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if cfg.Server.Mode == "debug" {
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gormLogLevel = gormLogger.Info
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} else {
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gormLogLevel = gormLogger.Silent
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}
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// Connect to database
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var err error
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DB, err = gorm.Open(mysql.Open(dsn), &gorm.Config{
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Logger: gormLogger.Default.LogMode(gormLogLevel),
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NowFunc: func() time.Time {
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return time.Now().Local()
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},
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})
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if err != nil {
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return fmt.Errorf("failed to connect database: %w", err)
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}
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// Get general database object sql.DB
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sqlDB, err := DB.DB()
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if err != nil {
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return fmt.Errorf("failed to get database instance: %w", err)
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}
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// Set connection pool
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sqlDB.SetMaxIdleConns(10)
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sqlDB.SetMaxOpenConns(100)
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sqlDB.SetConnMaxLifetime(time.Hour)
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// Auto migrate all models
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models := []interface{}{
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&model.User{},
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&model.Tenant{},
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&model.UserTenant{},
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&model.File{},
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&model.File2Document{},
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&model.TenantLLM{},
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&model.Chat{},
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&model.ChatSession{},
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&model.Task{},
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&model.APIToken{},
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&model.API4Conversation{},
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&model.Knowledgebase{},
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&model.InvitationCode{},
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&model.Document{},
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&model.UserCanvas{},
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&model.CanvasTemplate{},
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&model.UserCanvasVersion{},
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&model.LLMFactories{},
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&model.LLM{},
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&model.TenantLangfuse{},
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&model.SystemSettings{},
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&model.Connector{},
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&model.Connector2Kb{},
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&model.SyncLogs{},
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&model.MCPServer{},
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&model.Memory{},
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&model.Search{},
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&model.PipelineOperationLog{},
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&model.EvaluationDataset{},
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&model.EvaluationCase{},
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&model.EvaluationRun{},
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&model.EvaluationResult{},
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}
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for _, m := range models {
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if err := DB.AutoMigrate(m); err != nil {
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return fmt.Errorf("failed to migrate model %T: %w", m, err)
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}
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}
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// Run manual migrations for complex schema changes
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if err := RunMigrations(DB); err != nil {
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return fmt.Errorf("failed to run manual migrations: %w", err)
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}
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logger.Info("Database connected and migrated successfully")
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return nil
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}
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// GetDB get database instance
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func GetDB() *gorm.DB {
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return DB
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}
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// InitLLMFactory initializes LLM factories and models from JSON file.
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// It reads the llm_factories.json configuration file and populates the database
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// with LLM factory and model information. If a factory or model already exists,
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// it will be updated with the new configuration.
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//
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// Returns:
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// - error: An error if the initialization fails, nil otherwise.
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func InitLLMFactory() error {
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configPath := filepath.Join(utility.GetProjectBaseDirectory(), "conf", "llm_factories.json")
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data, err := os.ReadFile(configPath)
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if err != nil {
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return fmt.Errorf("failed to read llm_factories.json: %w", err)
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}
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var fileData LLMFactoriesFile
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if err := json.Unmarshal(data, &fileData); err != nil {
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return fmt.Errorf("failed to parse llm_factories.json: %w", err)
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}
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db := DB
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for _, factory := range fileData.FactoryLLMInfos {
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status := factory.Status
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if status == "" {
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status = "1"
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}
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llmFactory := &model.LLMFactories{
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Name: factory.Name,
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Logo: utility.StringPtr(factory.Logo),
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Tags: factory.Tags,
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Rank: utility.ParseInt64(factory.Rank),
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Status: &status,
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}
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var existingFactory model.LLMFactories
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result := db.Where("name = ?", factory.Name).First(&existingFactory)
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if result.Error != nil {
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if err := db.Create(llmFactory).Error; err != nil {
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log.Printf("Failed to create LLM factory %s: %v", factory.Name, err)
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continue
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}
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} else {
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if err := db.Model(&model.LLMFactories{}).Where("name = ?", factory.Name).Updates(map[string]interface{}{
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"logo": llmFactory.Logo,
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"tags": llmFactory.Tags,
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"rank": llmFactory.Rank,
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"status": llmFactory.Status,
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}).Error; err != nil {
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log.Printf("Failed to update LLM factory %s: %v", factory.Name, err)
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}
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}
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for _, llm := range factory.LLM {
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llmStatus := "1"
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llmModel := &model.LLM{
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LLMName: llm.LLMName,
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ModelType: llm.ModelType,
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FID: factory.Name,
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MaxTokens: llm.MaxTokens,
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Tags: llm.Tags,
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IsTools: llm.IsTools,
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Status: &llmStatus,
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}
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var existingLLM model.LLM
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result := db.Where("llm_name = ? AND fid = ?", llm.LLMName, factory.Name).First(&existingLLM)
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if result.Error != nil {
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if err := db.Create(llmModel).Error; err != nil {
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log.Printf("Failed to create LLM %s/%s: %v", factory.Name, llm.LLMName, err)
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}
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} else {
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if err := db.Model(&model.LLM{}).Where("llm_name = ? AND fid = ?", llm.LLMName, factory.Name).Updates(map[string]interface{}{
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"model_type": llmModel.ModelType,
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"max_tokens": llmModel.MaxTokens,
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"tags": llmModel.Tags,
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"is_tools": llmModel.IsTools,
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"status": llmModel.Status,
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}).Error; err != nil {
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log.Printf("Failed to update LLM %s/%s: %v", factory.Name, llm.LLMName, err)
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}
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}
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}
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}
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log.Println("LLM factories initialized successfully")
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return nil
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}
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