LocalAI/core/startup/startup.go
Ettore Di Giacinto 8814b31805
chore: drop gpt4all.cpp (#3106)
chore: drop gpt4all

gpt4all is already supported in llama.cpp - the backend was kept for
keeping compatibility with old gpt4all models (prior to gguf format).

It is good time now to clean up and remove it to slim the compilation
process.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2024-08-07 23:35:55 +02:00

207 lines
7.4 KiB
Go

package startup
import (
"fmt"
"os"
"github.com/mudler/LocalAI/core"
"github.com/mudler/LocalAI/core/config"
"github.com/mudler/LocalAI/core/services"
"github.com/mudler/LocalAI/internal"
"github.com/mudler/LocalAI/pkg/assets"
"github.com/mudler/LocalAI/pkg/library"
"github.com/mudler/LocalAI/pkg/model"
pkgStartup "github.com/mudler/LocalAI/pkg/startup"
"github.com/mudler/LocalAI/pkg/xsysinfo"
"github.com/rs/zerolog/log"
)
func Startup(opts ...config.AppOption) (*config.BackendConfigLoader, *model.ModelLoader, *config.ApplicationConfig, error) {
options := config.NewApplicationConfig(opts...)
log.Info().Msgf("Starting LocalAI using %d threads, with models path: %s", options.Threads, options.ModelPath)
log.Info().Msgf("LocalAI version: %s", internal.PrintableVersion())
caps, err := xsysinfo.CPUCapabilities()
if err == nil {
log.Debug().Msgf("CPU capabilities: %v", caps)
}
gpus, err := xsysinfo.GPUs()
if err == nil {
log.Debug().Msgf("GPU count: %d", len(gpus))
for _, gpu := range gpus {
log.Debug().Msgf("GPU: %s", gpu.String())
}
}
// Make sure directories exists
if options.ModelPath == "" {
return nil, nil, nil, fmt.Errorf("options.ModelPath cannot be empty")
}
err = os.MkdirAll(options.ModelPath, 0750)
if err != nil {
return nil, nil, nil, fmt.Errorf("unable to create ModelPath: %q", err)
}
if options.ImageDir != "" {
err := os.MkdirAll(options.ImageDir, 0750)
if err != nil {
return nil, nil, nil, fmt.Errorf("unable to create ImageDir: %q", err)
}
}
if options.AudioDir != "" {
err := os.MkdirAll(options.AudioDir, 0750)
if err != nil {
return nil, nil, nil, fmt.Errorf("unable to create AudioDir: %q", err)
}
}
if options.UploadDir != "" {
err := os.MkdirAll(options.UploadDir, 0750)
if err != nil {
return nil, nil, nil, fmt.Errorf("unable to create UploadDir: %q", err)
}
}
if err := pkgStartup.InstallModels(options.Galleries, options.ModelLibraryURL, options.ModelPath, options.EnforcePredownloadScans, nil, options.ModelsURL...); err != nil {
log.Error().Err(err).Msg("error installing models")
}
cl := config.NewBackendConfigLoader(options.ModelPath)
ml := model.NewModelLoader(options.ModelPath)
configLoaderOpts := options.ToConfigLoaderOptions()
if err := cl.LoadBackendConfigsFromPath(options.ModelPath, configLoaderOpts...); err != nil {
log.Error().Err(err).Msg("error loading config files")
}
if options.ConfigFile != "" {
if err := cl.LoadMultipleBackendConfigsSingleFile(options.ConfigFile, configLoaderOpts...); err != nil {
log.Error().Err(err).Msg("error loading config file")
}
}
if err := cl.Preload(options.ModelPath); err != nil {
log.Error().Err(err).Msg("error downloading models")
}
if options.PreloadJSONModels != "" {
if err := services.ApplyGalleryFromString(options.ModelPath, options.PreloadJSONModels, options.EnforcePredownloadScans, options.Galleries); err != nil {
return nil, nil, nil, err
}
}
if options.PreloadModelsFromPath != "" {
if err := services.ApplyGalleryFromFile(options.ModelPath, options.PreloadModelsFromPath, options.EnforcePredownloadScans, options.Galleries); err != nil {
return nil, nil, nil, err
}
}
if options.Debug {
for _, v := range cl.GetAllBackendConfigs() {
log.Debug().Msgf("Model: %s (config: %+v)", v.Name, v)
}
}
if options.AssetsDestination != "" {
// Extract files from the embedded FS
err := assets.ExtractFiles(options.BackendAssets, options.AssetsDestination)
log.Debug().Msgf("Extracting backend assets files to %s", options.AssetsDestination)
if err != nil {
log.Warn().Msgf("Failed extracting backend assets files: %s (might be required for some backends to work properly)", err)
}
}
if options.LibPath != "" {
// If there is a lib directory, set LD_LIBRARY_PATH to include it
err := library.LoadExternal(options.LibPath)
if err != nil {
log.Error().Err(err).Str("LibPath", options.LibPath).Msg("Error while loading external libraries")
}
}
// turn off any process that was started by GRPC if the context is canceled
go func() {
<-options.Context.Done()
log.Debug().Msgf("Context canceled, shutting down")
err := ml.StopAllGRPC()
if err != nil {
log.Error().Err(err).Msg("error while stopping all grpc backends")
}
}()
if options.WatchDog {
wd := model.NewWatchDog(
ml,
options.WatchDogBusyTimeout,
options.WatchDogIdleTimeout,
options.WatchDogBusy,
options.WatchDogIdle)
ml.SetWatchDog(wd)
go wd.Run()
go func() {
<-options.Context.Done()
log.Debug().Msgf("Context canceled, shutting down")
wd.Shutdown()
}()
}
// Watch the configuration directory
startWatcher(options)
log.Info().Msg("core/startup process completed!")
return cl, ml, options, nil
}
func startWatcher(options *config.ApplicationConfig) {
if options.DynamicConfigsDir == "" {
// No need to start the watcher if the directory is not set
return
}
if _, err := os.Stat(options.DynamicConfigsDir); err != nil {
if os.IsNotExist(err) {
// We try to create the directory if it does not exist and was specified
if err := os.MkdirAll(options.DynamicConfigsDir, 0700); err != nil {
log.Error().Err(err).Msg("failed creating DynamicConfigsDir")
}
} else {
// something else happened, we log the error and don't start the watcher
log.Error().Err(err).Msg("failed to read DynamicConfigsDir, watcher will not be started")
return
}
}
configHandler := newConfigFileHandler(options)
if err := configHandler.Watch(); err != nil {
log.Error().Err(err).Msg("failed creating watcher")
}
}
// In Lieu of a proper DI framework, this function wires up the Application manually.
// This is in core/startup rather than core/state.go to keep package references clean!
func createApplication(appConfig *config.ApplicationConfig) *core.Application {
app := &core.Application{
ApplicationConfig: appConfig,
BackendConfigLoader: config.NewBackendConfigLoader(appConfig.ModelPath),
ModelLoader: model.NewModelLoader(appConfig.ModelPath),
}
var err error
// app.EmbeddingsBackendService = backend.NewEmbeddingsBackendService(app.ModelLoader, app.BackendConfigLoader, app.ApplicationConfig)
// app.ImageGenerationBackendService = backend.NewImageGenerationBackendService(app.ModelLoader, app.BackendConfigLoader, app.ApplicationConfig)
// app.LLMBackendService = backend.NewLLMBackendService(app.ModelLoader, app.BackendConfigLoader, app.ApplicationConfig)
// app.TranscriptionBackendService = backend.NewTranscriptionBackendService(app.ModelLoader, app.BackendConfigLoader, app.ApplicationConfig)
// app.TextToSpeechBackendService = backend.NewTextToSpeechBackendService(app.ModelLoader, app.BackendConfigLoader, app.ApplicationConfig)
app.BackendMonitorService = services.NewBackendMonitorService(app.ModelLoader, app.BackendConfigLoader, app.ApplicationConfig)
app.GalleryService = services.NewGalleryService(app.ApplicationConfig)
// app.OpenAIService = services.NewOpenAIService(app.ModelLoader, app.BackendConfigLoader, app.ApplicationConfig, app.LLMBackendService)
app.LocalAIMetricsService, err = services.NewLocalAIMetricsService()
if err != nil {
log.Error().Err(err).Msg("encountered an error initializing metrics service, startup will continue but metrics will not be tracked.")
}
return app
}