more work on the expadable models

auto_reload.sh

@@ -0,0 +1,5 @@
+#!/bin/fish
+
+cd $(dirname "$0")  
+
+go run .

logic/models/train/train.go

@@ -17,6 +17,7 @@ import (
 	model_classes "git.andr3h3nriqu3s.com/andr3/fyp/logic/models/classes"
 	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/models/utils"
 	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/utils"
+	"github.com/charmbracelet/log"
 )
 
 const EPOCH_PER_RUN = 20
@@ -198,6 +199,151 @@ func trainDefinition(c *Context, model *BaseModel, definition_id string, load_pr
 	return
 }
 
+func trainDefinitionExp(c *Context, model *BaseModel, definition_id string, load_prev bool) (accuracy float64, err error) {
+	accuracy = 0
+
+	c.Logger.Warn("About to start training definition")
+
+	// Get untrained models heads
+
+	// Status = 2 (INIT)
+	rows, err := c.Db.Query("select id, range_start, range_end exp_model_head where def_id=$1 and status = 2", definition_id)
+	if err != nil {
+		return
+	}
+    defer rows.Close()
+
+	type ExpHead struct {
+		id          string
+		start int
+		end   int
+	}
+
+    exp := ExpHead{}
+
+    if rows.Next() {
+        if err = rows.Scan(&exp.id, &exp.start, &exp.end); err == nil {
+            return
+        }
+    } else {
+        log.Error("Failed to get the exp head of the model")
+        err = errors.New("Failed to get the exp head of the model")
+        return
+    }
+
+    if rows.Next() {
+        log.Error("This training function can only train one model at the time")
+        err = errors.New("This training function can only train one model at the time")
+        return
+    }
+
+	layers, err := c.Db.Query("select layer_type, shape from model_definition_layer where def_id=$1 order by layer_order asc;", definition_id)
+	if err != nil {
+		return
+	}
+	defer layers.Close()
+
+	type layerrow struct {
+		LayerType int
+		Shape     string
+	}
+
+	got := []layerrow{}
+
+	for layers.Next() {
+		var row = layerrow{}
+		if err = layers.Scan(&row.LayerType, &row.Shape); err != nil {
+			return
+		}
+		row.Shape = shapeToSize(row.Shape)
+		got = append(got, row)
+	}
+
+    got = append(got, layerrow{
+        LayerType: LAYER_DENSE,
+        Shape: fmt.Sprintf("%d", exp.end - exp.start),
+    })
+
+	// Generate run folder
+	run_path := path.Join("/tmp", model.Id, "defs", definition_id)
+
+	err = os.MkdirAll(run_path, os.ModePerm)
+	if err != nil {
+		return
+	}
+	defer os.RemoveAll(run_path)
+
+	_, err = generateCvs(c, run_path, model.Id)
+	if err != nil {
+		return
+	}
+
+    // TODO update the run script
+
+	// Create python script
+	f, err := os.Create(path.Join(run_path, "run.py"))
+	if err != nil {
+		return
+	}
+	defer f.Close()
+
+	tmpl, err := template.New("python_model_template.py").ParseFiles("views/py/python_model_template.py")
+	if err != nil {
+		return
+	}
+
+	// Copy result around
+	result_path := path.Join("savedData", model.Id, "defs", definition_id)
+
+	if err = tmpl.Execute(f, AnyMap{
+		"Layers":           got,
+		"Size":             got[0].Shape,
+		"DataDir":          path.Join(getDir(), "savedData", model.Id, "data"),
+		"RunPath":          run_path,
+		"ColorMode":        model.ImageMode,
+		"Model":            model,
+		"EPOCH_PER_RUN":    EPOCH_PER_RUN,
+		"DefId":            definition_id,
+		"LoadPrev":         load_prev,
+		"LastModelRunPath": path.Join(getDir(), result_path, "model.keras"),
+		"SaveModelPath":    path.Join(getDir(), result_path),
+	}); err != nil {
+		return
+	}
+
+	// Run the command
+	out, err := exec.Command("bash", "-c", fmt.Sprintf("cd %s && python run.py", run_path)).CombinedOutput()
+	if err != nil {
+		c.Logger.Debug(string(out))
+		return
+	}
+
+	c.Logger.Info("Python finished running")
+
+	if err = os.MkdirAll(result_path, os.ModePerm); err != nil {
+		return
+	}
+
+	accuracy_file, err := os.Open(path.Join(run_path, "accuracy.val"))
+	if err != nil {
+		return
+	}
+	defer accuracy_file.Close()
+
+	accuracy_file_bytes, err := io.ReadAll(accuracy_file)
+	if err != nil {
+		return
+	}
+
+	accuracy, err = strconv.ParseFloat(string(accuracy_file_bytes), 64)
+	if err != nil {
+		return
+	}
+
+	c.Logger.Info("Model finished training!", "accuracy", accuracy)
+	return
+}
+
 func remove[T interface{}](lst []T, i int) []T {
 	lng := len(lst)
 	if i >= lng {
@@ -474,7 +620,7 @@ func trainModelExp(c *Context, model *BaseModel) {
 		var toRemove ToRemoveList = []int{}
 		for i, def := range definitions {
 			ModelDefinitionUpdateStatus(c, def.id, MODEL_DEFINITION_STATUS_TRAINING)
-			accuracy, err := trainDefinition(c, model, def.id, !firstRound)
+			accuracy, err := trainDefinitionExp(c, model, def.id, !firstRound)
 			if err != nil {
 				c.Logger.Error("Failed to train definition!Err:", "err", err)
 				ModelDefinitionUpdateStatus(c, def.id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
@@ -1019,8 +1165,11 @@ func handleTrain(handle *Handle) {
 			}
 		}
 
-
+		if model_type_id == 2 {
+			go trainModelExp(c, model)
+		} else {
 			go trainModel(c, model)
+		}
 
 		_, err = c.Db.Exec("update models set status = $1, model_type = $2 where id = $3", TRAINING, model_type_id, model.Id)
 		if err != nil {

logic/utils/handler.go

@@ -636,7 +636,7 @@ func NewHandler(db *sql.DB) *Handle {
 }
 
 func (x Handle) Startup() {
-	fmt.Printf("Starting up!\n")
+	log.Info("Starting up!\n")
 
 	port := os.Getenv("PORT")
 	if port == "" {

main.go

@@ -31,7 +31,7 @@ func main() {
 		panic(err)
 	}
 	defer db.Close()
-	fmt.Println("Starting server on :8000!")
+	log.Info("Starting server on :8000!")
 
 	//TODO check if file structure exists to save data
 	handle := NewHandler(db)