65 lines
1.2 KiB
Go
65 lines
1.2 KiB
Go
// backend\embed.go
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package main
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import (
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"embed"
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"os"
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"path/filepath"
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)
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//go:embed ml/*.py ml/*.json ai_server.py
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var embeddedMLFiles embed.FS
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func trainingEmbeddedMLDir() (string, error) {
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dir := filepath.Join(os.TempDir(), "nsfwapp-ml")
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if err := os.MkdirAll(dir, 0755); err != nil {
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return "", err
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}
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files := []string{
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"predict_scene_model.py",
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"train_scene_model.py",
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"predict_detector_model.py",
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"train_detector_model.py",
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"detection_labels.json",
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}
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for _, name := range files {
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srcPath := filepath.Join("ml", name)
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b, err := embeddedMLFiles.ReadFile(filepath.ToSlash(srcPath))
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if err != nil {
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return "", err
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}
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dstPath := filepath.Join(dir, name)
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if err := os.WriteFile(dstPath, b, 0644); err != nil {
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return "", err
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}
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}
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return dir, nil
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}
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func embeddedAIServerDir() (string, error) {
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dir := filepath.Join(os.TempDir(), "nsfwapp-ai-server")
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if err := os.MkdirAll(dir, 0755); err != nil {
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return "", err
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}
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b, err := embeddedMLFiles.ReadFile("ai_server.py")
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if err != nil {
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return "", err
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}
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dstPath := filepath.Join(dir, "ai_server.py")
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if err := os.WriteFile(dstPath, b, 0644); err != nil {
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return "", err
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}
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return dir, nil
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}
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