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package assets
import (
"embed"
"fmt"
"io/fs"
"os"
"path/filepath"
"github.com/mudler/LocalAI/pkg/library"
)
func ResolvePath(dir string, paths ...string) string {
return filepath.Join(append([]string{dir, "backend-assets"}, paths...)...)
}
func ExtractFiles(content embed.FS, extractDir string) error {
// Create the target directory if it doesn't exist
err := os.MkdirAll(extractDir, 0750)
if err != nil {
return fmt.Errorf("failed to create directory: %v", err)
}
// Walk through the embedded FS and extract files
err = fs.WalkDir(content, ".", func(path string, d fs.DirEntry, err error) error {
if err != nil {
return err
}
// Reconstruct the directory structure in the target directory
targetFile := filepath.Join(extractDir, path)
if d.IsDir() {
// Create the directory in the target directory
err := os.MkdirAll(targetFile, 0750)
if err != nil {
return fmt.Errorf("failed to create directory: %v", err)
}
return nil
}
// Read the file from the embedded FS
fileData, err := content.ReadFile(path)
if err != nil {
return fmt.Errorf("failed to read file: %v", err)
}
// Create the file in the target directory
err = os.WriteFile(targetFile, fileData, 0700)
if err != nil {
return fmt.Errorf("failed to write file: %v", err)
}
return nil
})
// If there is a lib directory, set LD_LIBRARY_PATH to include it
// we might use this mechanism to carry over e.g. Nvidia CUDA libraries
// from the embedded FS to the target directory
library.LoadExtractedLibs(extractDir)
return err
}
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