feat: more work done on the torch branch

.dockerignore

@@ -0,0 +1,5 @@
+tmp/
+testData/
+savedData/
+!savedData/.keep
+fyp

DockerfileNginxDev

@@ -1,6 +1,6 @@
 # vi: ft=dockerfile
 FROM docker.io/nginx
 
-ADD nginx.proxy.conf /nginx.conf
+ADD nginx.dev.conf /nginx.conf
 
 CMD ["nginx", "-c", "/nginx.conf", "-g", "daemon off;"]

DockerfileServer

@@ -1,40 +1,60 @@
-FROM docker.io/nvidia/cuda:12.3.2-devel-ubuntu22.04
+FROM docker.io/nvidia/cuda:11.8.0-devel-ubuntu22.04
 
 ENV DEBIAN_FRONTEND=noninteractive
-
-# Sometimes you have to get update twice because ?
-RUN apt-get update
 RUN apt-get update
+RUN apt-get install -y wget sudo pkg-config libopencv-dev unzip python3-pip vim
 
-RUN apt-get install -y wget unzip python3-pip vim python3 python3-pip curl
+RUN pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0
+
+RUN mkdir /go
+ENV GOPATH=/go
 
 RUN wget https://go.dev/dl/go1.22.2.linux-amd64.tar.gz
 RUN tar -xvf go1.22.2.linux-amd64.tar.gz -C /usr/local
 ENV PATH=$PATH:/usr/local/go/bin
-ENV GOPATH=/go
-
-RUN bash -c 'curl -L "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-linux-x86_64-2.9.1.tar.gz" | tar -C /usr/local -xz'
-RUN bash -c 'curl -L "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-linux-x86_64-2.15.0.tar.gz" | tar -C /usr/local -xz'
-RUN ldconfig
-
-RUN ln -s /usr/bin/python3 /usr/bin/python
-RUN python -m pip install nvidia-pyindex
-ADD requirements.txt .
-RUN python -m pip install -r requirements.txt
-
-ENV CUDNN_PATH=/usr/local/lib/python3.10/dist-packages/nvidia/cudnn
-ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib/python3.10/dist-packages/nvidia/cudnn/lib
 
+RUN mkdir /app
 WORKDIR /app
 
 ADD  go.mod .
 ADD  go.sum .
 ADD  main.go .
 ADD  logic logic
-ADD entrypoint.sh .
 
 RUN go install || true
 
-RUN go build .
+WORKDIR /root
 
-CMD ["./entrypoint.sh"]
+RUN  wget https://git.andr3h3nriqu3s.com/andr3/gotch/raw/commit/22e75becf0432cda41a7c055a4d60ea435f76599/setup-libtorch.sh
+RUN chmod +x setup-libtorch.sh
+ENV CUDA_VER=11.8
+ENV GOTCH_VER=v0.9.2
+RUN bash setup-libtorch.sh
+ENV GOTCH_LIBTORCH="/usr/local/lib/libtorch"
+
+ENV REFRESH_SETUP=0
+
+ENV LIBRARY_PATH="$LIBRARY_PATH:$GOTCH_LIBTORCH/lib"
+ENV export CPATH="$CPATH:$GOTCH_LIBTORCH/lib:$GOTCH_LIBTORCH/include:$GOTCH_LIBTORCH/include/torch/csrc/api/include"
+ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$GOTCH_LIBTORCH/lib:/usr/lib64-nvidia:/usr/local/cuda-${CUDA_VERSION}/lib64"
+RUN wget https://git.andr3h3nriqu3s.com/andr3/gotch/raw/branch/master/setup-gotch.sh
+RUN chmod +x setup-gotch.sh
+RUN echo 'root ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers
+RUN bash setup-gotch.sh
+
+RUN ln -s /usr/local/lib/libtorch/include/torch/csrc /usr/local/lib/libtorch/include/torch/csrc/api/include/torch
+RUN mkdir -p /go/pkg/mod/git.andr3h3nriqu3s.com/andr3/gotch@v0.9.2/libtch/libtorch/include/torch/csrc/api
+RUN find /usr/local/lib/libtorch/include -maxdepth 1 -type d | tail -n +2 | grep -ve 'torch$' | xargs -I{} ln -s {} /go/pkg/mod/git.andr3h3nriqu3s.com/andr3/gotch@v0.9.2/libtch/libtorch/include
+RUN ln -s /usr/local/lib/libtorch/include/torch/csrc/api/include /go/pkg/mod/git.andr3h3nriqu3s.com/andr3/gotch@v0.9.2/libtch/libtorch/include/torch/csrc/api/include
+RUN find /usr/local/lib/libtorch/include/torch -maxdepth 1 -type f | xargs -I{} ln -s {} /go/pkg/mod/git.andr3h3nriqu3s.com/andr3/gotch@v0.9.2/libtch/libtorch/include/torch
+RUN ln -s /usr/local/lib/libtorch/lib/libcudnn.so.8 /usr/local/lib/libcudnn.so
+
+WORKDIR /app
+
+ENV CGO_CXXFLAGS="-I/usr/local/lib/libtorch/include/torch/csrc/api/include/ -I/usr/local/lib/libtorch/include"
+ENV CGO_CFLAGS="-I/usr/local/lib/libtorch/include/torch/csrc/api/include/ -I/usr/local/lib/libtorch/include"
+
+ADD . .
+RUN go build -x || true
+
+CMD ["bash", "-c", "go run ."]

README.md

@@ -1,42 +0,0 @@
-# Configure the system
-
-Go to the config.toml file and setup your hostname
-
-# Build the containers
-
-Running this commands on the root of the project will setup the nessesary.
-
-Make sure that your docker/podman installation supports domain name resolution between containers
-
-```bash
-docker build -t andre-fyp-proxy -f DockerfileProxy
-docker build -t andre-fyp-server -f DockerfileServer
-cd webpage
-docker build -t andre-fyp-web-server .
-cd ..
-```
-
-# Run the docker compose
-
-Running docker compose sets up the database server, the web page server, the proxy server and the main server
-
-```bash
-	docker compose up
-```
-
-# Setup the Database
-
-On another terminal instance create the database and tables.
-
-Note: the password can be changed in the docker-compose file
-
-```bash
-PGPASSWORD=verysafepassword psql -h localhost -U postgres -f sql/base.sql
-PGPASSWORD=verysafepassword psql -h localhost -U postgres -d fyp -f sql/user.sql
-PGPASSWORD=verysafepassword psql -h localhost -U postgres -d fyp -f sql/models.sql
-PGPASSWORD=verysafepassword psql -h localhost -U postgres -d fyp -f sql/tasks.sql
-```
-
-# Restart docker compose
-
-Now restart docker compose and the system should be available under the domain name set up on the config.toml file

config.toml

@@ -12,12 +12,7 @@ USER = "service"
 
 [Worker]
 PULLING_TIME = "500ms"
-NUMBER_OF_WORKERS = 16
+NUMBER_OF_WORKERS = 1
 
 [DB]
 MAX_CONNECTIONS = 600
-host = "db"
-port = 5432
-user = "postgres"
-password = "verysafepassword"
-dbname = "fyp"

docker-compose.yml

@@ -1,44 +1,11 @@
+version: "3.1"
+
 services:
   db:
-        image: docker.io/postgres:16.3
+    image: docker.andr3h3nriqu3s.com/services/postgres
     command: -c 'max_connections=600'
     restart: always
-        networks:
-            - fyp-network
     environment:
       POSTGRES_PASSWORD: verysafepassword
     ports:
       - "5432:5432"
-    web-page:
-        image: andre-fyp-web-server
-        hostname: webpage
-        networks:
-            - fyp-network
-    server:
-        image: andre-fyp-server
-        hostname: server
-        networks:
-            - fyp-network
-        depends_on:
-            - db
-        volumes:
-            - "./config.toml:/app/config.toml"
-        deploy:
-            resources:
-                reservations:
-                    devices:
-                        - driver: nvidia
-                          count: 1
-                          capabilities: [gpu]
-    proxy-server:
-        image: andre-fyp-proxy
-        networks:
-            - fyp-network
-        ports:
-            - "8000:8000"
-        depends_on:
-            - web-page
-            - server
-
-networks:
-    fyp-network: {}

entrypoint.sh

@@ -1,4 +0,0 @@
-#/bin/bash
-while true; do
-	./fyp
-done

go.mod

@@ -4,16 +4,14 @@ go 1.21
 
 require (
 	github.com/charmbracelet/log v0.3.1
-	github.com/galeone/tensorflow/tensorflow/go v0.0.0-20240119075110-6ad3cf65adfe
-	github.com/galeone/tfgo v0.0.0-20230715013254-16113111dc99
 	github.com/google/uuid v1.6.0
 	github.com/lib/pq v1.10.9
 	golang.org/x/crypto v0.19.0
-	github.com/BurntSushi/toml v1.3.2
+	git.andr3h3nriqu3s.com/andr3/gotch v0.9.2
-	github.com/goccy/go-json v0.10.2
 )
 
 require (
+	github.com/BurntSushi/toml v1.3.2 // indirect
 	github.com/aymanbagabas/go-osc52/v2 v2.0.1 // indirect
 	github.com/charmbracelet/lipgloss v0.9.1 // indirect
 	github.com/gabriel-vasile/mimetype v1.4.3 // indirect
@@ -21,6 +19,7 @@ require (
 	github.com/go-playground/locales v0.14.1 // indirect
 	github.com/go-playground/universal-translator v0.18.1 // indirect
 	github.com/go-playground/validator/v10 v10.19.0 // indirect
+	github.com/goccy/go-json v0.10.2 // indirect
 	github.com/jackc/pgpassfile v1.0.0 // indirect
 	github.com/jackc/pgservicefile v0.0.0-20221227161230-091c0ba34f0a // indirect
 	github.com/jackc/pgx v3.6.2+incompatible // indirect

go.sum

@@ -1,3 +1,7 @@
+git.andr3h3nriqu3s.com/andr3/gotch v0.9.1 h1:1q34JKV8cX80n7LXbJswlXCiRtNbzcvJ/vbgb6an1tA=
+git.andr3h3nriqu3s.com/andr3/gotch v0.9.1/go.mod h1:FXusE3CHt8NLf5wynUGaHtIbToRuYifsZaC5EZH0pJY=
+git.andr3h3nriqu3s.com/andr3/gotch v0.9.2 h1:aZcsPgDVGVhrEFoer0upSkzPqJWNMxdUHRktP4s6MSc=
+git.andr3h3nriqu3s.com/andr3/gotch v0.9.2/go.mod h1:FXusE3CHt8NLf5wynUGaHtIbToRuYifsZaC5EZH0pJY=
 github.com/BurntSushi/toml v1.3.2 h1:o7IhLm0Msx3BaB+n3Ag7L8EVlByGnpq14C4YWiu/gL8=
 github.com/BurntSushi/toml v1.3.2/go.mod h1:CxXYINrC8qIiEnFrOxCa7Jy5BFHlXnUU2pbicEuybxQ=
 github.com/aymanbagabas/go-osc52/v2 v2.0.1 h1:HwpRHbFMcZLEVr42D4p7XBqjyuxQH5SMiErDT4WkJ2k=
@@ -13,12 +17,6 @@ github.com/charmbracelet/log v0.3.1/go.mod h1:OR4E1hutLsax3ZKpXbgUqPtTjQfrh1pG3z
 github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
 github.com/gabriel-vasile/mimetype v1.4.3 h1:in2uUcidCuFcDKtdcBxlR0rJ1+fsokWf+uqxgUFjbI0=
 github.com/gabriel-vasile/mimetype v1.4.3/go.mod h1:d8uq/6HKRL6CGdk+aubisF/M5GcPfT7nKyLpA0lbSSk=
-github.com/galeone/tensorflow/tensorflow/go v0.0.0-20221023090153-6b7fa0680c3e h1:9+2AEFZymTi25FIIcDwuzcOPH04z9+fV6XeLiGORPDI=
-github.com/galeone/tensorflow/tensorflow/go v0.0.0-20221023090153-6b7fa0680c3e/go.mod h1:TelZuq26kz2jysARBwOrTv16629hyUsHmIoj54QqyFo=
-github.com/galeone/tensorflow/tensorflow/go v0.0.0-20240119075110-6ad3cf65adfe h1:7yELf1NFEwECpXMGowkoftcInMlVtLTCdwWLmxKgzNM=
-github.com/galeone/tensorflow/tensorflow/go v0.0.0-20240119075110-6ad3cf65adfe/go.mod h1:TelZuq26kz2jysARBwOrTv16629hyUsHmIoj54QqyFo=
-github.com/galeone/tfgo v0.0.0-20230715013254-16113111dc99 h1:8Bt1P/zy1gb37L4n8CGgp1qmFwBV5729kxVfj0sqhJk=
-github.com/galeone/tfgo v0.0.0-20230715013254-16113111dc99/go.mod h1:3YgYBeIX42t83uP27Bd4bSMxTnQhSbxl0pYSkCDB1tc=
 github.com/go-logfmt/logfmt v0.6.0 h1:wGYYu3uicYdqXVgoYbvnkrPVXkuLM1p1ifugDMEdRi4=
 github.com/go-logfmt/logfmt v0.6.0/go.mod h1:WYhtIu8zTZfxdn5+rREduYbwxfcBr/Vr6KEVveWlfTs=
 github.com/go-playground/locales v0.14.1 h1:EWaQ/wswjilfKLTECiXz7Rh+3BjFhfDFKv/oXslEjJA=
@@ -74,7 +72,9 @@ github.com/rivo/uniseg v0.4.6 h1:Sovz9sDSwbOz9tgUy8JpT+KgCkPYJEN/oYzlJiYTNLg=
 github.com/rivo/uniseg v0.4.6/go.mod h1:FN3SvrM+Zdj16jyLfmOkMNblXMcoc8DfTHruCPUcx88=
 github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME=
 github.com/stretchr/testify v1.3.0/go.mod h1:M5WIy9Dh21IEIfnGCwXGc5bZfKNJtfHm1UVUgZn+9EI=
+github.com/stretchr/testify v1.6.1/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg=
 github.com/stretchr/testify v1.7.0/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg=
+github.com/x448/float16 v0.8.4/go.mod h1:14CWIYCyZA/cWjXOioeEpHeN/83MdbZDRQHoFcYsOfg=
 golang.org/x/crypto v0.13.0 h1:mvySKfSWJ+UKUii46M40LOvyWfN0s2U+46/jDd0e6Ck=
 golang.org/x/crypto v0.13.0/go.mod h1:y6Z2r+Rw4iayiXXAIxJIDAJ1zMW4yaTpebo8fPOliYc=
 golang.org/x/crypto v0.18.0 h1:PGVlW0xEltQnzFZ55hkuX5+KLyrMYhHld1YHO4AKcdc=

lib

@@ -0,0 +1 @@
+/usr/local/lib

lib.go.back

@@ -0,0 +1,10 @@
+package libtch
+
+// #cgo LDFLAGS: -lstdc++ -ltorch -lc10 -ltorch_cpu -L${SRCDIR}/libtorch/lib
+// #cgo LDFLAGS: -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcudnn -lcaffe2_nvrtc -lnvrtc-builtins -lnvrtc -lnvToolsExt -lc10_cuda -ltorch_cuda
+// #cgo CFLAGS: -I${SRCDIR} -O3 -Wall -Wno-unused-variable -Wno-deprecated-declarations -Wno-c++11-narrowing -g -Wno-sign-compare -Wno-unused-function
+// #cgo CFLAGS: -D_GLIBCXX_USE_CXX11_ABI=0
+// #cgo CFLAGS: -I/usr/local/cuda/include
+// #cgo CXXFLAGS: -std=c++17 -I${SRCDIR} -g -O3
+// #cgo CXXFLAGS: -I${SRCDIR}/libtorch/lib -I${SRCDIR}/libtorch/include -I${SRCDIR}/libtorch/include/torch/csrc/api/include -I/opt/libtorch/include/torch/csrc/api/include
+import "C"

logic/db_types/classes.go

@@ -16,9 +16,9 @@ const (
 )
 
 type ModelClass struct {
-	Id         string `db:"mc.id" json:"id"`
+	Id         string `db:"mc.id"`
-	ModelId    string `db:"mc.model_id" json:"model_id"`
+	ModelId    string `db:"mc.model_id"`
-	Name       string `db:"mc.name" json:"name"`
+	Name       string `db:"mc.name"`
-	ClassOrder int    `db:"mc.class_order" json:"class_order"`
+	ClassOrder int    `db:"mc.class_order"`
-	Status     int    `db:"mc.status" json:"status"`
+	Status     int    `db:"mc.status"`
 }

logic/db_types/definitions.go

@@ -20,14 +20,14 @@ const (
 )
 
 type Definition struct {
-	Id             string    `db:"md.id" json:"id"`
+	Id             string    `db:"md.id"`
-	ModelId        string    `db:"md.model_id" json:"model_id"`
+	ModelId        string    `db:"md.model_id"`
-	Accuracy       float64   `db:"md.accuracy" json:"accuracy"`
+	Accuracy       float64   `db:"md.accuracy"`
-	TargetAccuracy int       `db:"md.target_accuracy" json:"target_accuracy"`
+	TargetAccuracy int       `db:"md.target_accuracy"`
-	Epoch          int       `db:"md.epoch" json:"epoch"`
+	Epoch          int       `db:"md.epoch"`
-	Status         int       `db:"md.status" json:"status"`
+	Status         int       `db:"md.status"`
-	CreatedOn      time.Time `db:"md.created_on" json:"created"`
+	CreatedOn      time.Time `db:"md.created_on"`
-	EpochProgress  int       `db:"md.epoch_progress" json:"epoch_progress"`
+	EpochProgress  int       `db:"md.epoch_progress"`
 }
 
 type SortByAccuracyDefinitions []*Definition
@@ -87,9 +87,9 @@ func (d Definition) GetLayers(db db.Db, filter string, args ...any) (layer []*La
 	return GetDbMultitple[Layer](db, "model_definition_layer as mdl where mdl.def_id=$1 "+filter, args...)
 }
 
-func (d *Definition) UpdateAfterEpoch(db db.Db, accuracy float64, epoch int) (err error) {
+func (d *Definition) UpdateAfterEpoch(db db.Db, accuracy float64) (err error) {
 	d.Accuracy = accuracy
-	d.Epoch += epoch
+	d.Epoch += 1
 	_, err = db.Exec("update model_definition set epoch=$1, accuracy=$2 where id=$3", d.Epoch, d.Accuracy, d.Id)
 	return
 }

logic/db_types/layer.go

@@ -2,10 +2,8 @@ package dbtypes
 
 import (
 	"encoding/json"
-	"fmt"
 
 	"git.andr3h3nriqu3s.com/andr3/fyp/logic/db"
-	"github.com/charmbracelet/log"
 )
 
 type LayerType int
@@ -18,30 +16,17 @@ const (
 )
 
 type Layer struct {
-	Id           string    `db:"mdl.id" json:"id"`
+	Id           string    `db:"mdl.id"`
-	DefinitionId string    `db:"mdl.def_id" json:"definition_id"`
+	DefinitionId string    `db:"mdl.def_id"`
-	LayerOrder   int       `db:"mdl.layer_order" json:"layer_order"`
+	LayerOrder   string    `db:"mdl.layer_order"`
-	LayerType    LayerType `db:"mdl.layer_type" json:"layer_type"`
+	LayerType    LayerType `db:"mdl.layer_type"`
-	Shape        string    `db:"mdl.shape" json:"shape"`
+	Shape        string    `db:"mdl.shape"`
-	ExpType      int       `db:"mdl.exp_type" json:"exp_type"`
+	ExpType      string    `db:"mdl.exp_type"`
-}
-
-func (x *Layer) ShapeToSize() {
-	v := x.GetShape()
-	switch x.LayerType {
-	case LAYER_INPUT:
-		x.Shape = fmt.Sprintf("%d,%d", v[1], v[2])
-	case LAYER_DENSE:
-		x.Shape = fmt.Sprintf("(%d)", v[0])
-	default:
-		x.Shape = "ERROR"
-	}
 }
 
 func ShapeToString(args ...int) string {
 	text, err := json.Marshal(args)
 	if err != nil {
-		log.Error("json err!", "err", err)
 		panic("Could not generate Shape")
 	}
 	return string(text)
@@ -50,16 +35,12 @@ func ShapeToString(args ...int) string {
 func StringToShape(str string) (shape []int64) {
 	err := json.Unmarshal([]byte(str), &shape)
 	if err != nil {
-		log.Error("json err!", "err", err)
 		panic("Could not parse Shape")
 	}
 	return
 }
 
 func (l Layer) GetShape() []int64 {
-	if l.Shape == "" {
-		return []int64{}
-	}
 	return StringToShape(l.Shape)
 }
 

logic/db_types/types.go

@@ -1,19 +1,20 @@
 package dbtypes
 
 import (
-	"errors"
 	"fmt"
+	"os"
+	"path"
 
 	"git.andr3h3nriqu3s.com/andr3/fyp/logic/db"
+	"github.com/jackc/pgx/v5"
 )
 
-type ModelStatus int
-
 const (
-	FAILED_TRAINING           ModelStatus = -4
+	FAILED_TRAINING           = -4
 	FAILED_PREPARING_TRAINING = -3
 	FAILED_PREPARING_ZIP_FILE = -2
 	FAILED_PREPARING          = -1
+
 	PREPARING               = 1
 	CONFIRM_PRE_TRAINING    = 2
 	PREPARING_ZIP_FILE      = 3
@@ -26,19 +27,6 @@ const (
 	READY_RETRAIN_FAILED = -7
 )
 
-type ModelDefinitionStatus int
-
-const (
-	MODEL_DEFINITION_STATUS_CANCELD_TRAINING ModelDefinitionStatus = -4
-	MODEL_DEFINITION_STATUS_FAILED_TRAINING                        = -3
-	MODEL_DEFINITION_STATUS_PRE_INIT                               = 1
-	MODEL_DEFINITION_STATUS_INIT                                   = 2
-	MODEL_DEFINITION_STATUS_TRAINING                               = 3
-	MODEL_DEFINITION_STATUS_PAUSED_TRAINING                        = 6
-	MODEL_DEFINITION_STATUS_TRANIED                                = 4
-	MODEL_DEFINITION_STATUS_READY                                  = 5
-)
-
 type ModelHeadStatus int
 
 const (
@@ -50,19 +38,18 @@ const (
 )
 
 type BaseModel struct {
-	Name         string `json:"name"`
+	Name   string
-	Status       int    `json:"status"`
+	Status int
-	Id           string `json:"id"`
+	Id     string
-	ModelType    int    `db:"model_type" json:"model_type"`
-	ImageModeRaw string `db:"color_mode" json:"image_more_raw"`
-	ImageMode    int    `db:"0" json:"image_mode"`
-	Width        int    `json:"width"`
-	Height       int    `json:"height"`
-	Format       string `json:"format"`
-	CanTrain     int    `db:"can_train" json:"can_train"`
-}
 
-var ModelNotFoundError = errors.New("Model not found error")
+	ModelType    int    `db:"model_type"`
+	ImageModeRaw string `db:"color_mode"`
+	ImageMode    int    `db:"0"`
+	Width        int
+	Height       int
+	Format       string
+	CanTrain     int `db:"can_train"`
+}
 
 func GetBaseModel(db db.Db, id string) (base *BaseModel, err error) {
 	var model BaseModel
@@ -81,6 +68,36 @@ func (m BaseModel) CanEval() bool {
 	return true
 }
 
+func (m BaseModel) removeFailedDataPoints(c BasePack) (err error) {
+	rows, err := c.GetDb().Query("select mdp.id from model_data_point as mdp join model_classes as mc on mc.id=mdp.class_id where mc.model_id=$1 and mdp.status=-1;", m.Id)
+	if err != nil {
+		return
+	}
+	defer rows.Close()
+
+	base_path := path.Join("savedData", m.Id, "data")
+
+	for rows.Next() {
+		var dataPointId string
+		err = rows.Scan(&dataPointId)
+		if err != nil {
+			return
+		}
+
+		p := path.Join(base_path, dataPointId+"."+m.Format)
+
+		c.GetLogger().Warn("Removing image", "path", p)
+
+		err = os.RemoveAll(p)
+		if err != nil {
+			return
+		}
+	}
+
+	_, err = c.GetDb().Exec("delete from model_data_point as mdp using model_classes as mc where mdp.class_id = mc.id and mc.model_id=$1 and mdp.status=-1;", m.Id)
+	return
+}
+
 // DO NOT Pass un filtered data on filters
 func (m BaseModel) GetDefinitions(db db.Db, filters string, args ...any) ([]*Definition, error) {
 	n_args := []any{m.Id}
@@ -88,21 +105,25 @@ func (m BaseModel) GetDefinitions(db db.Db, filters string, args ...any) ([]*Def
 	return GetDbMultitple[Definition](db, fmt.Sprintf("model_definition as md where md.model_id=$1 %s", filters), n_args...)
 }
 
+// DO NOT Pass un filtered data on filters
 func (m BaseModel) GetClasses(db db.Db, filters string, args ...any) ([]*ModelClass, error) {
 	n_args := []any{m.Id}
 	n_args = append(n_args, args...)
 	return GetDbMultitple[ModelClass](db, fmt.Sprintf("model_classes as mc where mc.model_id=$1 %s", filters), n_args...)
 }
 
-func (m *BaseModel) UpdateStatus(db db.Db, status ModelStatus) (err error) {
+type DataPointIterator struct {
-	_, err = db.Exec("update models set status=$1 where id=$2", status, m.Id)
+	rows  pgx.Rows
-	return
+	Model BaseModel
 }
 
 type DataPoint struct {
-	Id    string `json:"id"`
+	Class int
-	Class int    `json:"class"`
+	Path  string
-	Path  string `json:"path"`
+}
+
+func (iter DataPointIterator) Close() {
+	iter.rows.Close()
 }
 
 func (m BaseModel) DataPoints(db db.Db, mode DATA_POINT_MODE) (data []DataPoint, err error) {
@@ -125,20 +146,26 @@ func (m BaseModel) DataPoints(db db.Db, mode DATA_POINT_MODE) (data []DataPoint,
 		if err = rows.Scan(&id, &class_order, &file_path); err != nil {
 			return
 		}
+		if file_path == "id://" {
 			data = append(data, DataPoint{
-			Id:    id,
+				Path:  path.Join("./savedData", m.Id, "data", id+"."+m.Format),
-			Path:  file_path,
 				Class: class_order,
 			})
+		} else {
+			panic("TODO remote file path")
+		}
 	}
 	return
 }
 
+const RGB string = "rgb"
+const GRAY string = "greyscale"
+
 func StringToImageMode(colorMode string) int {
 	switch colorMode {
-	case "greyscale":
+	case GRAY:
 		return 1
-	case "rgb":
+	case RGB:
 		return 3
 	default:
 		panic("unkown color mode")

logic/db_types/user.go

@@ -14,19 +14,10 @@ const (
 )
 
 type User struct {
-	Id       string `db:"u.id" json:"id"`
+	Id       string `db:"u.id"`
-	Username string `db:"u.username" json:"username"`
+	Username string `db:"u.username"`
-	Email    string `db:"u.email" json:"email"`
+	Email    string `db:"u.email"`
-	UserType int    `db:"u.user_type" json:"user_type"`
+	UserType int    `db:"u.user_type"`
-}
-
-func UserFromId(db db.Db, id string) (*User, error) {
-	var user User
-	err := GetDBOnce(db, &user, "users as u where u.id=$1", id)
-	if err != nil {
-		return nil, err
-	}
-	return &user, nil
 }
 
 func UserFromToken(db db.Db, token string) (*User, error) {

logic/db_types/utils.go

@@ -14,11 +14,13 @@ import (
 	"github.com/charmbracelet/log"
 	"github.com/google/uuid"
 	"github.com/jackc/pgx/v5"
+	"github.com/jackc/pgx/v5/pgconn"
 
 	db "git.andr3h3nriqu3s.com/andr3/fyp/logic/db"
 )
 
 type BasePack interface {
+	db.Db
 	GetDb() db.Db
 	GetLogger() *log.Logger
 	GetHost() string
@@ -42,6 +44,18 @@ func (b BasePackStruct) GetLogger() *log.Logger {
 	return b.Logger
 }
 
+func (c BasePackStruct) Query(query string, args ...any) (pgx.Rows, error) {
+	return c.Db.Query(query, args...)
+}
+
+func (c BasePackStruct) Exec(query string, args ...any) (pgconn.CommandTag, error) {
+	return c.Db.Exec(query, args...)
+}
+
+func (c BasePackStruct) Begin() (pgx.Tx, error) {
+	return c.Db.Begin()
+}
+
 func CheckEmpty(f url.Values, path string) bool {
 	return !f.Has(path) || f.Get(path) == ""
 }

logic/models/add.go

@@ -16,6 +16,7 @@ import (
 )
 
 func loadBaseImage(c *Context, id string) {
+	// TODO handle more types than png
 	infile, err := os.Open(path.Join("savedData", id, "baseimage.png"))
 	if err != nil {
 		c.Logger.Errorf("Failed to read image for model with id %s\n", id)
@@ -53,29 +54,21 @@ func loadBaseImage(c *Context, id string) {
 		model_color = "greyscale"
 	case color.NRGBAModel:
 		fallthrough
-	case color.RGBAModel:
-		fallthrough
 	case color.YCbCrModel:
 		model_color = "rgb"
 	default:
 		c.Logger.Error("Do not know how to handle this color model")
 
 		if src.ColorModel() == color.RGBA64Model {
-			c.Logger.Error("Color is rgb 64")
+			c.Logger.Error("Color is rgb")
 		} else if src.ColorModel() == color.NRGBA64Model {
 			c.Logger.Error("Color is nrgb 64")
 		} else if src.ColorModel() == color.AlphaModel {
 			c.Logger.Error("Color is alpha")
 		} else if src.ColorModel() == color.CMYKModel {
 			c.Logger.Error("Color is cmyk")
-		} else if src.ColorModel() == color.NRGBA64Model {
-			c.Logger.Error("Color is cmyk")
-		} else if src.ColorModel() == color.NYCbCrAModel {
-			c.Logger.Error("Color is cmyk a")
-		} else if src.ColorModel() == color.Alpha16Model {
-			c.Logger.Error("Color is cmyk a")
 		} else {
-			c.Logger.Error("Other so assuming color", "color mode", src.ColorModel())
+			c.Logger.Error("Other so assuming color")
 		}
 
 		ModelUpdateStatus(c, id, FAILED_PREPARING)

logic/models/classes/main.go

@@ -14,7 +14,7 @@ type ModelClassJSON struct {
 	Status  int    `json:"status"`
 }
 
-func ListClasses(c BasePack, model_id string) (cls []*ModelClassJSON, err error) {
+func ListClassesJSON(c BasePack, model_id string) (cls []*ModelClassJSON, err error) {
 	return GetDbMultitple[ModelClassJSON](c.GetDb(), "model_classes where model_id=$1", model_id)
 }
 

logic/models/data.go

@@ -136,16 +136,17 @@ func processZipFile(c *Context, model *BaseModel) {
 			return
 		}
 
-		if paths[0] == "training" {
+		if paths[0] != "training" {
 			training = InsertIfNotPresent(training, paths[1])
-		} else if paths[0] == "testing" {
+		} else if paths[0] != "testing" {
 			testing = InsertIfNotPresent(testing, paths[1])
 		}
 	}
 
 	if !reflect.DeepEqual(testing, training) {
-		c.Logger.Warn("Diff", "testing", testing, "training", training)
+		c.Logger.Info("Diff", "testing", testing, "training", training)
-		c.Logger.Warn("Testing and traing datasets differ")
+		failed("Testing and Training datesets are diferent")
+		return
 	}
 
 	base_path := path.Join("savedData", model.Id, "data")
@@ -265,15 +266,16 @@ func processZipFileExpand(c *Context, model *BaseModel) {
 			return
 		}
 
-		if paths[0] == "training" {
+		if paths[0] != "training" {
 			training = InsertIfNotPresent(training, paths[1])
-		} else if paths[0] == "testing" {
+		} else if paths[0] != "testing" {
 			testing = InsertIfNotPresent(testing, paths[1])
 		}
 	}
 
 	if !reflect.DeepEqual(testing, training) {
-		c.GetLogger().Warn("testing and training differ", "testing", testing, "training", training)
+		failed("testing and training are diferent")
+		return
 	}
 
 	base_path := path.Join("savedData", model.Id, "data")
@@ -433,7 +435,7 @@ func handleDataUpload(handle *Handle) {
 		}
 
 		model, err := GetBaseModel(handle.Db, id)
-		if err == ModelNotFoundError {
+		if err == NotFoundError {
 			return c.SendJSONStatus(http.StatusNotFound, "Model not found")
 		} else if err != nil {
 			return c.Error500(err)
@@ -466,7 +468,7 @@ func handleDataUpload(handle *Handle) {
 	}
 	PostAuthJson(handle, "/models/data/class/new", User_Normal, func(c *Context, obj *CreateNewEmptyClass) *Error {
 		model, err := GetBaseModel(c.Db, obj.Id)
-		if err == ModelNotFoundError {
+		if err == NotFoundError {
 			return c.JsonBadRequest("Model not found")
 		} else if err != nil {
 			return c.E500M("Failed to get model information", err)
@@ -516,7 +518,7 @@ func handleDataUpload(handle *Handle) {
 		c.Logger.Info("model", "model", *model_id)
 
 		model, err := GetBaseModel(c.Db, *model_id)
-		if err == ModelNotFoundError {
+		if err == NotFoundError {
 			return c.JsonBadRequest("Could not find the model")
 		} else if err != nil {
 			return c.E500M("Error getting model information", err)
@@ -624,7 +626,7 @@ func handleDataUpload(handle *Handle) {
 		c.Logger.Info("Trying to expand model", "id", id)
 
 		model, err := GetBaseModel(handle.Db, id)
-		if err == ModelNotFoundError {
+		if err == NotFoundError {
 			return c.SendJSONStatus(http.StatusNotFound, "Model not found")
 		} else if err != nil {
 			return c.Error500(err)
@@ -634,8 +636,7 @@ func handleDataUpload(handle *Handle) {
 
 		// TODO work in allowing the model to add new in the pre ready moment
 		if model.Status != READY {
-			c.GetLogger().Error("Model not in the ready status", "status", model.Status)
+			return c.JsonBadRequest("Model not in the correct state to add a more classes")
-			return c.JsonBadRequest("Model not in the correct state to add more classes")
 		}
 
 		// TODO mk this path configurable
@@ -669,7 +670,7 @@ func handleDataUpload(handle *Handle) {
 		}
 
 		model, err := GetBaseModel(handle.Db, dat.Id)
-		if err == ModelNotFoundError {
+		if err == NotFoundError {
 			return c.SendJSONStatus(http.StatusNotFound, "Model not found")
 		} else if err != nil {
 			return c.Error500(err)

logic/models/delete.go

@@ -51,7 +51,7 @@ func handleDelete(handle *Handle) {
 			return c.E500M("Faield to get model", err)
 		}
 
-		switch ModelStatus(model.Status) {
+		switch model.Status {
 		case FAILED_TRAINING:
 			fallthrough
 		case FAILED_PREPARING_ZIP_FILE:

logic/models/edit.go

@@ -24,7 +24,7 @@ func handleEdit(handle *Handle) {
 			return c.Error500(err)
 		}
 
-		cls, err := model_classes.ListClasses(c, model.Id)
+		cls, err := model_classes.ListClassesJSON(c, model.Id)
 		if err != nil {
 			return c.Error500(err)
 		}
@@ -109,7 +109,7 @@ func handleEdit(handle *Handle) {
 		layers := []layerdef{}
 
 		for _, def := range defs {
-			if def.Status == MODEL_DEFINITION_STATUS_TRAINING {
+			if def.Status == DEFINITION_STATUS_TRAINING {
 				rows, err := c.Db.Query("select id, layer_type, shape from model_definition_layer where def_id=$1 order by layer_order asc;", def.Id)
 				if err != nil {
 					return c.Error500(err)
@@ -166,7 +166,7 @@ func handleEdit(handle *Handle) {
 
 		for i, def := range defs {
 			var lay *[]layerdef = nil
-			if def.Status == MODEL_DEFINITION_STATUS_TRAINING && !setLayers {
+			if def.Status == DEFINITION_STATUS_TRAINING && !setLayers {
 				lay = &layers
 				setLayers = true
 			}

logic/models/run.go.notemp

@@ -4,12 +4,10 @@ import (
 	"errors"
 	"os"
 	"path"
-	"runtime/debug"
 
 	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/db_types"
 	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/tasks/utils"
 
-	"github.com/charmbracelet/log"
 	tf "github.com/galeone/tensorflow/tensorflow/go"
 	"github.com/galeone/tensorflow/tensorflow/go/op"
 	tg "github.com/galeone/tfgo"
@@ -21,7 +19,6 @@ func ReadPNG(scope *op.Scope, imagePath string, channels int64) *image.Image {
 	contents := op.ReadFile(scope.SubScope("ReadFile"), op.Const(scope.SubScope("filename"), imagePath))
 	output := op.DecodePng(scope.SubScope("DecodePng"), contents, op.DecodePngChannels(channels))
 	output = op.ExpandDims(scope.SubScope("ExpandDims"), output, op.Const(scope.SubScope("axis"), []int32{0}))
-	output = op.ExpandDims(scope.SubScope("Stack"), output, op.Const(scope.SubScope("axis"), []int32{1}))
 	image := &image.Image{
 		Tensor: tg.NewTensor(scope, output)}
 	return image.Scale(0, 255)
@@ -32,25 +29,16 @@ func ReadJPG(scope *op.Scope, imagePath string, channels int64) *image.Image {
 	contents := op.ReadFile(scope.SubScope("ReadFile"), op.Const(scope.SubScope("filename"), imagePath))
 	output := op.DecodePng(scope.SubScope("DecodeJpeg"), contents, op.DecodePngChannels(channels))
 	output = op.ExpandDims(scope.SubScope("ExpandDims"), output, op.Const(scope.SubScope("axis"), []int32{0}))
-	output = op.ExpandDims(scope.SubScope("Stack"), output, op.Const(scope.SubScope("axis"), []int32{1}))
 	image := &image.Image{
 		Tensor: tg.NewTensor(scope, output)}
 	return image.Scale(0, 255)
 }
 
-func runModelNormal(model *BaseModel, def_id string, inputImage *tf.Tensor, data *RunnerModelData) (order int, confidence float32, err error) {
+func runModelNormal(base BasePack, model *BaseModel, def_id string, inputImage *tf.Tensor) (order int, confidence float32, err error) {
 	order = 0
 	err = nil
 
-	var tf_model *tg.Model = nil
+	tf_model := tg.LoadModel(path.Join("savedData", model.Id, "defs", def_id, "model"), []string{"serve"}, nil)
-
-	if data.Id != nil && *data.Id == def_id {
-		tf_model = data.Model
-	} else {
-		tf_model = tg.LoadModel(path.Join("savedData", model.Id, "defs", def_id, "model"), []string{"serve"}, nil)
-		data.Model = tf_model
-		data.Id = &def_id
-	}
 
 	results := tf_model.Exec([]tf.Output{
 		tf_model.Op("StatefulPartitionedCall", 0),
@@ -61,8 +49,6 @@ func runModelNormal(model *BaseModel, def_id string, inputImage *tf.Tensor, data
 	var vmax float32 = 0.0
 	var predictions = results[0].Value().([][]float32)[0]
 
-	log.Info("preds", "preds", predictions)
-
 	for i, v := range predictions {
 		if v > vmax {
 			order = i
@@ -76,13 +62,10 @@ func runModelNormal(model *BaseModel, def_id string, inputImage *tf.Tensor, data
 }
 
 func runModelExp(base BasePack, model *BaseModel, def_id string, inputImage *tf.Tensor) (order int, confidence float32, err error) {
-	log := base.GetLogger()
 
 	err = nil
 	order = 0
 
-	log.Info("Running base")
-
 	base_model := tg.LoadModel(path.Join("savedData", model.Id, "defs", def_id, "base", "model"), []string{"serve"}, nil)
 
 	//results := base_model.Exec([]tf.Output{
@@ -103,7 +86,7 @@ func runModelExp(base BasePack, model *BaseModel, def_id string, inputImage *tf.
 		return
 	}
 
-	log.Info("Running heads", "heads", heads)
+	base.GetLogger().Info("test", "count", len(heads))
 
 	var vmax float32 = 0.0
 
@@ -134,15 +117,10 @@ func runModelExp(base BasePack, model *BaseModel, def_id string, inputImage *tf.
 	return
 }
 
-type RunnerModelData struct {
+func ClassifyTask(base BasePack, task Task) (err error) {
-	Id    *string
-	Model *tg.Model
-}
-
-func ClassifyTask(base BasePack, task Task, data *RunnerModelData) (err error) {
 	defer func() {
 		if r := recover(); r != nil {
-			base.GetLogger().Error("Task failed due to", "error", r, "stack", string(debug.Stack()))
+			base.GetLogger().Error("Task failed due to", "error", r)
 			task.UpdateStatusLog(base, TASK_FAILED_RUNNING, "Task failed running")
 		}
 	}()
@@ -200,8 +178,6 @@ func ClassifyTask(base BasePack, task Task, data *RunnerModelData) (err error) {
 
 	if model.ModelType == 2 {
 		base.GetLogger().Info("Running model normal", "model", model.Id, "def", def_id)
-		data.Model = nil
-		data.Id = nil
 		vi, confidence, err = runModelExp(base, model, def_id, inputImage)
 		if err != nil {
 			task.UpdateStatusLog(base, TASK_FAILED_RUNNING, "Failed to run model")
@@ -209,7 +185,7 @@ func ClassifyTask(base BasePack, task Task, data *RunnerModelData) (err error) {
 		}
 	} else {
 		base.GetLogger().Info("Running model normal", "model", model.Id, "def", def_id)
-		vi, confidence, err = runModelNormal(model, def_id, inputImage, data)
+		vi, confidence, err = runModelNormal(base, model, def_id, inputImage)
 		if err != nil {
 			task.UpdateStatusLog(base, TASK_FAILED_RUNNING, "Failed to run model")
 			return

logic/models/test.go

@@ -38,8 +38,6 @@ func TestImgForModel(c *Context, model *BaseModel, path string) (result bool) {
 		model_color = "greyscale"
 	case color.NRGBAModel:
 		fallthrough
-	case color.RGBAModel:
-		fallthrough
 	case color.YCbCrModel:
 		model_color = "rgb"
 	default:

logic/models/train/remote_train.go

@@ -1,118 +0,0 @@
-package models_train
-
-import (
-	"errors"
-
-	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/db_types"
-	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/tasks/utils"
-	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/utils"
-	"github.com/charmbracelet/log"
-	"github.com/goccy/go-json"
-)
-
-func PrepareTraining(handler *Handle, b BasePack, task Task, runner_id string) (err error) {
-	l := b.GetLogger()
-
-	model, err := GetBaseModel(b.GetDb(), *task.ModelId)
-	if err != nil {
-		task.UpdateStatusLog(b, TASK_FAILED_RUNNING, "Failed to get model information")
-		l.Error("Failed to get model information", "err", err)
-		return err
-	}
-
-	if model.Status != TRAINING {
-		task.UpdateStatusLog(b, TASK_FAILED_RUNNING, "Model not in the correct status for training")
-		return errors.New("Model not in the right status")
-	}
-
-	// TODO do this when the runner says it's OK
-	//task.UpdateStatusLog(b, TASK_RUNNING, "Training model")
-
-	// TODO move this to the runner part as well
-	var dat struct {
-		NumberOfModels int
-		Accuracy       int
-	}
-
-	err = json.Unmarshal([]byte(task.ExtraTaskInfo), &dat)
-	if err != nil {
-		task.UpdateStatusLog(b, TASK_FAILED_RUNNING, "Failed to get model extra information")
-	}
-
-	if model.ModelType == 2 {
-		full_error := generateExpandableDefinitions(b, model, dat.Accuracy, dat.NumberOfModels)
-		if full_error != nil {
-			l.Error("Failed to generate defintions", "err", full_error)
-			task.UpdateStatusLog(b, TASK_FAILED_RUNNING, "Failed generate model")
-			return errors.New("Failed to generate definitions")
-		}
-	} else {
-		error := generateDefinitions(b, model, dat.Accuracy, dat.NumberOfModels)
-		if error != nil {
-			task.UpdateStatusLog(b, TASK_FAILED_RUNNING, "Failed generate model")
-			return errors.New("Failed to generate definitions")
-		}
-	}
-
-	runners := handler.DataMap["runners"].(map[string]interface{})
-	runner := runners[runner_id].(map[string]interface{})
-	runner["task"] = &task
-	runners[runner_id] = runner
-	handler.DataMap["runners"] = runners
-
-	return
-}
-
-func CleanUpFailed(b BasePack, task *Task) {
-	db := b.GetDb()
-	l := b.GetLogger()
-	model, err := GetBaseModel(db, *task.ModelId)
-	if err != nil {
-		l.Error("Failed to get model", "err", err)
-	} else {
-		err = model.UpdateStatus(db, FAILED_TRAINING)
-		if err != nil {
-			l.Error("Failed to get status", err)
-		}
-	}
-	// Set the class status to trained
-	err = SetModelClassStatus(b, CLASS_STATUS_TO_TRAIN, "model_id=$1 and status=$2;", model.Id, CLASS_STATUS_TRAINING)
-	if err != nil {
-		l.Error("Failed to set class status")
-		return
-	}
-}
-
-func CleanUpFailedRetrain(b BasePack, task *Task) {
-	db := b.GetDb()
-	l := b.GetLogger()
-
-	model, err := GetBaseModel(db, *task.ModelId)
-	if err != nil {
-		l.Error("Failed to get model", "err", err)
-	} else {
-		err = model.UpdateStatus(db, FAILED_TRAINING)
-		if err != nil {
-			l.Error("Failed to get status", err)
-		}
-	}
-
-	ResetClasses(b, model)
-	ModelUpdateStatus(b, model.Id, READY_RETRAIN_FAILED)
-
-	var defData struct {
-		Id             string  `db:"md.id"`
-		TargetAcuuracy float64 `db:"md.target_accuracy"`
-	}
-
-	err = GetDBOnce(db, &defData, "models as m inner join model_definition as md on m.id = md.model_id where m.id=$1;", task.ModelId)
-	if err != nil {
-		log.Error("failed to get def data", err)
-		return
-	}
-
-	_, err_ := db.Exec("delete from exp_model_head where def_id=$1 and status in (2,3)", defData.Id)
-	if err_ != nil {
-		panic(err_)
-	}
-}

logic/models/train/reset.go

@@ -11,13 +11,13 @@ import (
 func handleRest(handle *Handle) {
 	DeleteAuthJson(handle, "/models/train/reset", User_Normal, func(c *Context, dat *JustId) *Error {
 		model, err := GetBaseModel(c.Db, dat.Id)
-		if err == ModelNotFoundError {
+		if err == NotFoundError {
 			return c.JsonBadRequest("Model not found")
 		} else if err != nil {
 			return c.E500M("Failed to get model", err)
 		}
 
-		if model.Status != FAILED_PREPARING_TRAINING && model.Status != int(FAILED_TRAINING) {
+		if model.Status != FAILED_PREPARING_TRAINING && model.Status != FAILED_TRAINING {
 			return c.JsonBadRequest("Model is not in status that be reset")
 		}
 

logic/models/train/torch/modelloader/modelloader.go

@@ -0,0 +1,179 @@
+package imageloader
+
+import (
+	"git.andr3h3nriqu3s.com/andr3/fyp/logic/db"
+	types "git.andr3h3nriqu3s.com/andr3/fyp/logic/db_types"
+	"git.andr3h3nriqu3s.com/andr3/gotch"
+	torch "git.andr3h3nriqu3s.com/andr3/gotch/ts"
+	"git.andr3h3nriqu3s.com/andr3/gotch/vision"
+)
+
+type Dataset struct {
+	TrainImages     *torch.Tensor
+	TrainLabels     *torch.Tensor
+	TestImages      *torch.Tensor
+	TestLabels      *torch.Tensor
+	TrainImagesSize int
+	TestImagesSize  int
+	Device          gotch.Device
+}
+
+func LoadImagesAndLables(db db.Db, m *types.BaseModel, mode types.DATA_POINT_MODE, classStart int, classEnd int) (imgs, labels *torch.Tensor, count int, err error) {
+	train_points, err := m.DataPoints(db, types.DATA_POINT_MODE_TRAINING)
+	if err != nil {
+		return
+	}
+
+	size := int64(classEnd - classStart + 1)
+
+	pimgs := []*torch.Tensor{}
+	plabels := []*torch.Tensor{}
+
+	for _, point := range train_points {
+		var img, label *torch.Tensor
+		img, err = vision.Load(point.Path)
+		if err != nil {
+			return
+		}
+
+		pimgs = append(pimgs, img)
+
+		t_label := make([]int, size)
+		if point.Class <= classEnd && point.Class >= classStart {
+			t_label[point.Class-classStart] = 1
+		}
+
+		label, err = torch.OfSlice(t_label)
+		if err != nil {
+			return
+		}
+
+		plabels = append(plabels, label)
+	}
+
+	imgs, err = torch.Concat(pimgs, 0)
+	if err != nil {
+		return
+	}
+
+	labels, err = torch.Stack(plabels, 0)
+	if err != nil {
+		return
+	}
+
+	count = len(pimgs)
+
+	imgs, err = torch.Stack(pimgs, 0)
+    if err != nil {
+        return
+    }
+
+	imgs, err = imgs.ToDtype(gotch.Float, false, false, true)
+	if err != nil {
+		return
+	}
+
+	labels, err = labels.ToDtype(gotch.Float, false, false, true)
+	if err != nil {
+		return
+	}
+
+	return
+}
+
+func NewDataset(db db.Db, m *types.BaseModel, classStart int, classEnd int) (ds *Dataset, err error) {
+	trainImages, trainLabels, train_count, err := LoadImagesAndLables(db, m, types.DATA_POINT_MODE_TRAINING, classStart, classEnd)
+	if err != nil {
+		return
+	}
+
+	testImages, testLabels, test_count, err := LoadImagesAndLables(db, m, types.DATA_POINT_MODE_TESTING, classStart, classEnd)
+	if err != nil {
+		return
+	}
+
+	ds = &Dataset{
+		TrainImages:     trainImages,
+		TrainLabels:     trainLabels,
+		TestImages:      testImages,
+		TestLabels:      testLabels,
+		TrainImagesSize: train_count,
+		TestImagesSize:  test_count,
+		Device:          gotch.CPU,
+	}
+	return
+}
+
+func (ds *Dataset) To(device gotch.Device) (err error) {
+	ds.TrainImages, err = ds.TrainImages.ToDevice(device, ds.TrainImages.DType(), device.IsCuda(), true, true)
+	if err != nil {
+		return
+	}
+
+	ds.TrainLabels, err = ds.TrainLabels.ToDevice(device, ds.TrainLabels.DType(), device.IsCuda(), true, true)
+	if err != nil {
+		return
+	}
+
+	ds.TestImages, err = ds.TestImages.ToDevice(device, ds.TestImages.DType(), device.IsCuda(), true, true)
+	if err != nil {
+		return
+	}
+
+	ds.TestLabels, err = ds.TestLabels.ToDevice(device, ds.TestLabels.DType(), device.IsCuda(), true, true)
+	if err != nil {
+		return
+	}
+
+	ds.Device = device
+	return
+}
+
+func (ds *Dataset) TestIter(batchSize int64) *torch.Iter2 {
+	return torch.MustNewIter2(ds.TestImages, ds.TestLabels, batchSize)
+}
+
+func (ds *Dataset) TrainIter(batchSize int64) (iter *torch.Iter2, err error) {
+    
+    // Create a clone of the trainimages
+    size, err := ds.TrainImages.Size()
+    if err != nil {
+        return
+    }
+
+    train_images, err := torch.Zeros(size, gotch.Float, ds.Device)
+    if err != nil {
+        return
+    }
+
+    ds.TrainImages, err = ds.TrainImages.Clone(train_images, false)
+    if err != nil {
+        return
+    }
+
+
+
+    // Create a clone of the labels
+    size, err = ds.TrainLabels.Size()
+    if err != nil {
+        return
+    }
+
+    train_labels, err := torch.Zeros(size, gotch.Float, ds.Device)
+    if err != nil {
+        return
+    }
+
+    ds.TrainLabels, err = ds.TrainLabels.Clone(train_labels, false)
+    if err != nil {
+        return
+    }
+
+
+	iter, err = torch.NewIter2(train_images, train_labels, batchSize)
+	if err != nil {
+		return
+	}
+
+	return
+}

logic/models/train/torch/nn/linear.go

@@ -0,0 +1,174 @@
+package my_nn
+
+// linear is a fully-connected layer
+
+import (
+	"math"
+
+	"git.andr3h3nriqu3s.com/andr3/gotch/nn"
+	"git.andr3h3nriqu3s.com/andr3/gotch/ts"
+	"github.com/charmbracelet/log"
+)
+
+// LinearConfig is a configuration for a linear layer
+type LinearConfig struct {
+	WsInit nn.Init // iniital weights
+	BsInit nn.Init // optional initial bias
+	Bias   bool
+}
+
+// DefaultLinearConfig creates default LinearConfig with
+// weights initiated using KaimingUniform and Bias is set to true
+func DefaultLinearConfig() *LinearConfig {
+	negSlope := math.Sqrt(5)
+	return &LinearConfig{
+		// NOTE. KaimingUniform cause mem leak due to ts.Uniform()!!!
+		// Avoid using it now.
+		WsInit: nn.NewKaimingUniformInit(nn.WithKaimingNegativeSlope(negSlope)),
+		BsInit: nil,
+		Bias:   true,
+	}
+}
+
+// Linear is a linear fully-connected layer
+type Linear struct {
+	Ws *ts.Tensor
+    weight_name string
+	Bs *ts.Tensor
+    bias_name string
+}
+
+// NewLinear creates a new linear layer
+// y = x*wT + b
+// inDim - input dimension (x) [input features - columns]
+// outDim - output dimension (y) [output features - columns]
+// NOTE: w will have shape{outDim, inDim}; b will have shape{outDim}
+func NewLinear(vs *Path, inDim, outDim int64, c *LinearConfig) *Linear {
+    var bias_name string
+	var bs *ts.Tensor
+	var err error
+	if c.Bias {
+		switch {
+		case c.BsInit == nil:
+			shape := []int64{inDim, outDim}
+			fanIn, _, err := nn.CalculateFans(shape)
+            or_panic(err)
+			bound := 0.0
+			if fanIn > 0 {
+				bound = 1 / math.Sqrt(float64(fanIn))
+			}
+			bsInit := nn.NewUniformInit(-bound, bound)
+			bs, bias_name, err = vs.NewVarNamed("bias", []int64{outDim}, bsInit)
+			or_panic(err)
+
+            // Find better way to do this
+            bs, err = bs.T(true)
+            or_panic(err)
+            bs, err = bs.T(true)
+            or_panic(err)
+
+            bs, err = bs.SetRequiresGrad(true, true)
+            or_panic(err)
+
+            err = bs.RetainGrad(false)
+            or_panic(err)
+
+            vs.varstore.UpdateVarTensor(bias_name, bs, true)
+
+		case c.BsInit != nil:
+			bs, bias_name, err = vs.NewVarNamed("bias", []int64{outDim}, c.BsInit)
+			or_panic(err)
+		}
+	}
+
+	ws, weight_name, err := vs.NewVarNamed("weight", []int64{outDim, inDim}, c.WsInit)
+	or_panic(err)
+
+    ws, err = ws.T(true)
+    or_panic(err)
+
+    ws, err = ws.SetRequiresGrad(true, true)
+    or_panic(err)
+
+    err = ws.RetainGrad(false)
+    or_panic(err)
+
+
+    vs.varstore.UpdateVarTensor(weight_name, ws, true)
+
+
+	return &Linear{
+		Ws: ws,
+        weight_name: weight_name,
+		Bs: bs,
+        bias_name: bias_name,
+	}
+}
+
+func (l *Linear) Debug() {
+    log.Info("Ws", "ws", l.Ws.MustGrad(false).MustMax(false).Float64Values())
+    log.Info("Bs", "bs", l.Bs.MustGrad(false).MustMax(false).Float64Values())
+}
+
+func (l *Linear) ExtractFromVarstore(vs *VarStore) {
+    l.Ws = vs.GetTensorOfVar(l.weight_name)
+    l.Bs = vs.GetTensorOfVar(l.bias_name)
+}
+
+// Implement `Module` for `Linear` struct:
+// =======================================
+
+// Forward proceeds input node through linear layer.
+// NOTE:
+// - It assumes that node has dimensions of 2 (matrix).
+// To make it work for matrix multiplication, input node should
+// has same number of **column** as number of **column** in
+// `LinearLayer` `Ws` property as weights matrix will be
+// transposed before multiplied to input node. (They are all used `inDim`)
+// - Input node should have shape of `shape{batch size, input features}`.
+// (shape{batchSize, inDim}). The input features is `inDim` while the
+// output feature is `outDim` in `LinearConfig` struct.
+//
+// Example:
+//
+//	inDim := 3
+//	outDim := 2
+//	batchSize := 4
+//	weights: 2x3
+//	[ 1 1 1
+//		1 1 1 ]
+//
+//	input node: 3x4
+//	[ 1 1 1
+//	  1 1 1
+//	  1 1 1
+//		1 1 1 ]
+func (l *Linear) Forward(xs *ts.Tensor) (retVal *ts.Tensor) {
+	mul, err := xs.Matmul(l.Ws, false)
+    or_panic(err)
+	if l.Bs != nil {
+		mul, err = mul.Add(l.Bs, false)
+        or_panic(err)
+	}
+
+    out, err := mul.Relu(false)
+    or_panic(err)
+
+    return out
+}
+
+// ForwardT implements ModuleT interface for Linear layer.
+//
+// NOTE: train param will not be used.
+func (l *Linear) ForwardT(xs *ts.Tensor, train bool) (retVal *ts.Tensor) {
+	mul, err := xs.Matmul(l.Ws, true)
+    or_panic(err)
+
+
+	mul, err = mul.Add(l.Bs, true)
+    or_panic(err)
+
+    out, err := mul.Relu(true)
+    or_panic(err)
+    return out
+}

logic/models/train/torch/nn/optimizer.go

@@ -0,0 +1,603 @@
+package my_nn
+
+// Optimizers to be used for gradient-descent based training.
+
+import (
+	"fmt"
+	"math"
+
+	"github.com/charmbracelet/log"
+	"git.andr3h3nriqu3s.com/andr3/gotch/ts"
+)
+
+// Optimizer is a struct object to run gradient descent.
+type Optimizer struct {
+	varstore *VarStore
+	opt      *ts.COptimizer
+	// variablesInOptimizer uint8
+	variablesInOptimizer map[string]struct{}
+	config               OptimizerConfig //interface{}
+	stepCount            int
+	lr                   float64
+}
+
+func (o *Optimizer) Debug() {
+	for n, _ := range o.variablesInOptimizer {
+		v := o.varstore.GetVarOfName(n)
+        leaf, err := v.Tensor.IsLeaf(false)
+        or_panic(err)
+
+        retains, err := v.Tensor.RetainsGrad(false)
+        or_panic(err)
+
+		log.Info("[opt] var test", "n", n, "leaf", leaf, "retains", retains)
+	}
+}
+
+func (o *Optimizer) RefreshValues() (err error) {
+	opt, err := o.config.buildCOpt(o.lr)
+	if err != nil {
+		return
+	}
+
+	for name := range o.variablesInOptimizer {
+		v := o.varstore.GetVarOfName(name)
+		if v.Trainable {
+			if err = opt.AddParameter(v.Tensor, v.Group); err != nil {
+				err = fmt.Errorf("Optimizer defaultBuild - AddParameter failed: %w\n", err)
+				return
+			}
+		}
+	}
+
+    o.opt = opt
+    return
+}
+
+// OptimizerConfig defines Optimizer configurations. These configs can be used to build optimizer.
+type OptimizerConfig interface {
+	buildCOpt(lr float64) (*ts.COptimizer, error)
+
+	// Build builds an optimizer with the specified learning rate handling variables stored in `vs`.
+	//
+	// NOTE: Build is a 'default' method. It can be called by wrapping
+	// 'DefaultBuild' function
+	// E.g. AdamOptimizerConfig struct have a method to fullfil `Build` method of
+	// OptimizerConfig by wrapping `DefaultBuild` like
+	// (config AdamOptimizerConfig) Build(vs VarStore, lr float64) (retVal Optimizer, err error){
+	//		return defaultBuild(config, vs, lr)
+	// }
+	Build(vs *VarStore, lr float64) (*Optimizer, error)
+}
+
+// defaultBuild is `default` Build method for OptimizerConfig interface
+func defaultBuild(config OptimizerConfig, vs *VarStore, lr float64) (*Optimizer, error) {
+	opt, err := config.buildCOpt(lr)
+	if err != nil {
+		return nil, err
+	}
+
+	names := make(map[string]struct{})
+	for name, v := range vs.vars {
+		if v.Trainable {
+            log.Info("Adding parameter", "name", name, "g", v.Group)
+			if err = opt.AddParameter(v.Tensor, v.Group); err != nil {
+				err = fmt.Errorf("Optimizer defaultBuild - AddParameter failed: %w\n", err)
+				return nil, err
+			}
+		}
+		names[name] = struct{}{}
+	}
+
+	return &Optimizer{
+		varstore:             vs,
+		opt:                  opt,
+		variablesInOptimizer: names,
+		config:               config,
+		stepCount:            0,
+		lr:                   0,
+	}, nil
+}
+
+// SGD Optimizer:
+//===============
+
+// SGDConfig holds parameters for building the SGD (Stochastic Gradient Descent) optimizer.
+type SGDConfig struct {
+	Momentum  float64
+	Dampening float64
+	Wd        float64
+	Nesterov  bool
+}
+
+// DefaultSGDConfig creates SGDConfig with default values.
+func DefaultSGDConfig() *SGDConfig {
+	return &SGDConfig{
+		Momentum:  0.0,
+		Dampening: 0.0,
+		Wd:        0.0,
+		Nesterov:  false,
+	}
+}
+
+// NewSGD creates the configuration for a SGD optimizer with specified values
+func NewSGDConfig(momentum, dampening, wd float64, nesterov bool) *SGDConfig {
+	return &SGDConfig{
+		Momentum:  momentum,
+		Dampening: dampening,
+		Wd:        wd,
+		Nesterov:  nesterov,
+	}
+}
+
+// Implement OptimizerConfig interface for SGDConfig
+func (c *SGDConfig) buildCOpt(lr float64) (*ts.COptimizer, error) {
+	return ts.Sgd(lr, c.Momentum, c.Dampening, c.Wd, c.Nesterov)
+}
+
+func (c *SGDConfig) Build(vs *VarStore, lr float64) (*Optimizer, error) {
+	return defaultBuild(c, vs, lr)
+}
+
+// Adam optimizer:
+// ===============
+
+type AdamConfig struct {
+	Beta1 float64
+	Beta2 float64
+	Wd    float64
+}
+
+// DefaultAdamConfig creates AdamConfig with default values
+func DefaultAdamConfig() *AdamConfig {
+	return &AdamConfig{
+		Beta1: 0.9,
+		Beta2: 0.999,
+		Wd:    0.0,
+	}
+}
+
+// NewAdamConfig creates AdamConfig with specified values
+func NewAdamConfig(beta1, beta2, wd float64) *AdamConfig {
+	return &AdamConfig{
+		Beta1: beta1,
+		Beta2: beta2,
+		Wd:    wd,
+	}
+}
+
+// Implement OptimizerConfig interface for AdamConfig
+func (c *AdamConfig) buildCOpt(lr float64) (*ts.COptimizer, error) {
+	return ts.Adam(lr, c.Beta1, c.Beta2, c.Wd)
+}
+
+func (c *AdamConfig) Build(vs *VarStore, lr float64) (*Optimizer, error) {
+	return defaultBuild(c, vs, lr)
+}
+
+// AdamW optimizer:
+// ===============
+
+type AdamWConfig struct {
+	Beta1 float64
+	Beta2 float64
+	Wd    float64
+}
+
+// DefaultAdamWConfig creates AdamWConfig with default values
+func DefaultAdamWConfig() *AdamWConfig {
+	return &AdamWConfig{
+		Beta1: 0.9,
+		Beta2: 0.999,
+		Wd:    0.01,
+	}
+}
+
+// NewAdamWConfig creates AdamWConfig with specified values
+func NewAdamWConfig(beta1, beta2, wd float64) *AdamWConfig {
+	return &AdamWConfig{
+		Beta1: beta1,
+		Beta2: beta2,
+		Wd:    wd,
+	}
+}
+
+// Implement OptimizerConfig interface for AdamWConfig
+func (c *AdamWConfig) buildCOpt(lr float64) (*ts.COptimizer, error) {
+	return ts.AdamW(lr, c.Beta1, c.Beta2, c.Wd)
+}
+
+// Build builds AdamW optimizer
+func (c *AdamWConfig) Build(vs *VarStore, lr float64) (*Optimizer, error) {
+	return defaultBuild(c, vs, lr)
+}
+
+// RMSProp optimizer:
+// ===============
+
+type RMSPropConfig struct {
+	Alpha    float64
+	Eps      float64
+	Wd       float64
+	Momentum float64
+	Centered bool
+}
+
+// DefaultAdamConfig creates AdamConfig with default values
+func DefaultRMSPropConfig() *RMSPropConfig {
+	return &RMSPropConfig{
+		Alpha:    0.99,
+		Eps:      1e-8,
+		Wd:       0.0,
+		Momentum: 0.0,
+		Centered: false,
+	}
+}
+
+// NewRMSPropConfig creates RMSPropConfig with specified values
+func NewRMSPropConfig(alpha, eps, wd, momentum float64, centered bool) *RMSPropConfig {
+	return &RMSPropConfig{
+		Alpha:    alpha,
+		Eps:      eps,
+		Wd:       wd,
+		Momentum: momentum,
+		Centered: centered,
+	}
+}
+
+// Implement OptimizerConfig interface for RMSPropConfig
+func (c *RMSPropConfig) buildCOpt(lr float64) (*ts.COptimizer, error) {
+	return ts.RmsProp(lr, c.Alpha, c.Eps, c.Wd, c.Momentum, c.Centered)
+}
+
+func (c *RMSPropConfig) Build(vs *VarStore, lr float64) (*Optimizer, error) {
+	return defaultBuild(c, vs, lr)
+}
+
+// Optimizer methods:
+// ==================
+
+func (opt *Optimizer) addMissingVariables() {
+	type param struct {
+		tensor *ts.Tensor
+		group  uint
+	}
+	trainables := make(map[string]param)
+	for name, v := range opt.varstore.vars {
+		if v.Trainable {
+			trainables[name] = param{tensor: v.Tensor, group: v.Group}
+		}
+	}
+	missingVariables := len(trainables) - len(opt.variablesInOptimizer)
+	if missingVariables > 0 {
+		log.Info("INFO: Optimizer.addMissingVariables()...")
+		for name, x := range trainables {
+			if _, ok := opt.variablesInOptimizer[name]; !ok {
+				opt.opt.AddParameter(x.tensor, x.group)
+				opt.variablesInOptimizer[name] = struct{}{}
+			}
+		}
+	}
+}
+
+// ZeroGrad zeroes the gradient for the tensors tracked by this optimizer.
+func (opt *Optimizer) ZeroGrad() error {
+	if err := opt.opt.ZeroGrad(); err != nil {
+		err = fmt.Errorf("Optimizer.ZeroGrad() failed: %w\n", err)
+		return err
+	}
+	return nil
+}
+
+// MustZeroGrad zeroes the gradient for the tensors tracked by this optimizer.
+func (opt *Optimizer) MustZeroGrad() {
+	err := opt.ZeroGrad()
+	if err != nil {
+		log.Fatal(err)
+	}
+}
+
+// Clips gradient value at some specified maximum value.
+func (opt *Optimizer) ClipGradValue(max float64) {
+	opt.varstore.Lock()
+	defer opt.varstore.Unlock()
+
+	for _, v := range opt.varstore.vars {
+		if v.Trainable {
+			// v.Tensor.MustGrad().Clamp_(ts.FloatScalar(-max), ts.FloatScalar(max))
+			gradTs := v.Tensor.MustGrad(false)
+			gradTs.Clamp_(ts.FloatScalar(-max), ts.FloatScalar(max))
+		}
+	}
+}
+
+// Step performs an optimization step, updating the tracked tensors based on their gradients.
+func (opt *Optimizer) Step() error {
+	err := opt.opt.Step()
+	if err != nil {
+		err = fmt.Errorf("Optimizer.Step() failed: %w\n", err)
+		return err
+	}
+	opt.stepCount += 1
+
+	return nil
+}
+
+// MustStep performs an optimization step, updating the tracked tensors based on their gradients.
+func (opt *Optimizer) MustStep() {
+	err := opt.Step()
+	if err != nil {
+		log.Fatal(err)
+	}
+}
+
+// ResetStepCount set step count to zero.
+func (opt *Optimizer) ResetStepCount() {
+	opt.stepCount = 0
+}
+
+// StepCount get current step count.
+func (opt *Optimizer) StepCount() int {
+	return opt.stepCount
+}
+
+// BackwardStep applies a backward step pass, update the gradients, and performs an optimization step.
+func (opt *Optimizer) BackwardStep(loss *ts.Tensor) error {
+	err := opt.opt.ZeroGrad()
+	if err != nil {
+		err = fmt.Errorf("Optimizer.BackwardStep() failed: %w\n", err)
+		return err
+	}
+
+	loss.MustBackward()
+	err = opt.opt.Step()
+	if err != nil {
+		err = fmt.Errorf("Optimizer.BackwardStep() failed: %w\n", err)
+		return err
+	}
+
+	return nil
+}
+
+// MustBackwardStep applies a backward step pass, update the gradients, and performs an optimization step.
+func (opt *Optimizer) MustBackwardStep(loss *ts.Tensor) {
+	err := opt.BackwardStep(loss)
+	if err != nil {
+		log.Fatal(err)
+	}
+}
+
+// BackwardStepClip applies a backward step pass, update the gradients, and performs an optimization step.
+//
+// The gradients are clipped based on `max` before being applied.
+func (opt *Optimizer) BackwardStepClip(loss *ts.Tensor, max float64) error {
+	err := opt.opt.ZeroGrad()
+	if err != nil {
+		err = fmt.Errorf("Optimizer.BackwardStepClip() failed: %w\n", err)
+		return err
+	}
+	loss.MustBackward()
+	opt.ClipGradValue(max)
+	err = opt.opt.Step()
+	if err != nil {
+		err = fmt.Errorf("Optimizer.BackwardStepClip() failed: %w\n", err)
+		return err
+	}
+	return nil
+}
+
+// MustBackwardStepClip applies a backward step pass, update the gradients, and performs an optimization step.
+//
+// The gradients are clipped based on `max` before being applied.
+func (opt *Optimizer) MustBackwardStepClip(loss *ts.Tensor, max float64) {
+	err := opt.BackwardStepClip(loss, max)
+	if err != nil {
+		log.Fatal(err)
+	}
+}
+
+type ClipOpts struct {
+	NormType         float64
+	ErrorIfNonFinite bool
+}
+
+type ClipOpt func(*ClipOpts)
+
+func defaultClipOpts() *ClipOpts {
+	return &ClipOpts{
+		NormType:         2.0,
+		ErrorIfNonFinite: false, // will switch to "true" in the future.
+	}
+}
+
+func WithNormType(v float64) ClipOpt {
+	return func(o *ClipOpts) {
+		o.NormType = v
+	}
+}
+
+func WithErrorIfNonFinite(v bool) ClipOpt {
+	return func(o *ClipOpts) {
+		o.ErrorIfNonFinite = v
+	}
+}
+
+// / Clips gradient L2 norm over all trainable parameters.
+//
+// The norm is computed over all gradients together, as if they were
+// concatenated into a single vector.
+//
+// / Args:
+// - max: max norm of the gradient
+// - o.NormType. Type of the used p-norm, can be "inf" for infinity norm. Default= 2.0
+// - o.ErrorIfNonFinite bool. If true, throw error if total norm of the gradients from paramters is "nan", "inf" or "-inf". Default=false
+// Returns: total norm of the parameters (viewed as a single vector)
+// ref. https://github.com/pytorch/pytorch/blob/cb4aeff7d8e4c70bb638cf159878c5204d0cc2da/torch/nn/utils/clip_grad.py#L59
+func (opt *Optimizer) ClipGradNorm(max float64, opts ...ClipOpt) error {
+	o := defaultClipOpts()
+	for _, option := range opts {
+		option(o)
+	}
+
+	opt.varstore.Lock()
+	defer opt.varstore.Unlock()
+	parameters := opt.varstore.TrainableVariables()
+	if len(parameters) == 0 {
+		// return ts.MustOfSlice([]float64{0.0}), nil
+		return nil
+	}
+
+	var (
+		norms     []*ts.Tensor
+		totalNorm *ts.Tensor
+	)
+
+	device := opt.varstore.device
+
+	// FIXME. What about mixed-precision?
+	dtype := parameters[0].DType()
+
+	if o.NormType == math.Inf(1) {
+		for _, v := range opt.varstore.vars {
+			n := v.Tensor.MustGrad(false).MustDetach(true).MustAbs(true).MustMax(true).MustTo(device, true)
+			norms = append(norms, n)
+		}
+		// total_norm = norms[0] if len(norms) == 1 else torch.max(torch.stack(norms))
+		totalNorm = ts.MustStack(norms, 0).MustMax(true)
+	} else {
+		for _, v := range opt.varstore.vars {
+			// x := v.Tensor.MustGrad(false).MustNorm(true)
+
+			// NOTE. tensor.Norm() is going to be deprecated. So use linalg_norm
+			// Ref. https://pytorch.org/docs/stable/generated/torch.linalg.norm.html#torch.linalg.norm
+			x := v.Tensor.MustGrad(false).MustDetach(true).MustLinalgNorm(ts.FloatScalar(o.NormType), nil, false, dtype, true)
+			norms = append(norms, x)
+		}
+	}
+
+	// totalNorm = ts.MustStack(norms, 0).MustNorm(true).MustAddScalar(ts.FloatScalar(1e-6), true)
+	// total_norm = torch.norm(torch.stack([torch.norm(p.grad.detach(), norm_type).to(device) for p in parameters]), norm_type)
+	totalNorm = ts.MustStack(norms, 0).MustLinalgNorm(ts.FloatScalar(o.NormType), nil, false, dtype, true)
+	for _, x := range norms {
+		x.MustDrop()
+	}
+
+	totalNormVal := totalNorm.Float64Values(true)[0]
+	//  if error_if_nonfinite and torch.logical_or(total_norm.isnan(), total_norm.isinf()):
+	if o.ErrorIfNonFinite && (math.IsNaN(totalNormVal) || math.IsInf(totalNormVal, 1)) {
+		err := fmt.Errorf("The total norm of order (%v) for gradients from 'parameters' is non-finite, so it cannot be clipped. To disable this error and scale the gradients by the non-finite norm anyway, set option.ErrorIfNonFinite= false", o.NormType)
+		return err
+	}
+
+	// clip_coef = max_norm / (total_norm + 1e-6)
+	// clipCoefTs := ts.TensorFrom([]float64{max}).MustDiv(totalNorm, true)
+	clipCoef := max / (totalNormVal + 1e-6)
+	// NOTE: multiplying by the clamped coef is redundant when the coef is clamped to 1, but doing so
+	// avoids a `if clip_coef < 1:` conditional which can require a CPU <=> device synchronization
+	// when the gradients do not reside in CPU memory.
+	// clip_coef_clamped = torch.clamp(clip_coef, max=1.0)
+	if clipCoef > 1.0 {
+		clipCoef = 1.0
+	}
+	for _, v := range opt.varstore.vars {
+		if v.Trainable {
+			// p.grad.detach().mul_(clip_coef_clamped.to(p.grad.device))
+			// v.Tensor.MustGrad(false).MustDetach(true).MustMulScalar_(ts.FloatScalar(clipCoef))
+			v.Tensor.MustGrad(false).MustMulScalar_(ts.FloatScalar(clipCoef))
+		}
+	}
+
+	return nil
+}
+
+// BackwardStepClipNorm applies a backward step pass, update the gradients, and performs an optimization step.
+//
+// The gradients L2 norm is clipped based on `max`.
+func (opt *Optimizer) BackwardStepClipNorm(loss *ts.Tensor, max float64, opts ...ClipOpt) error {
+	err := opt.opt.ZeroGrad()
+	if err != nil {
+		err := fmt.Errorf("Optimizer.BackwardStepClipNorm() failed: %w\n", err)
+		return err
+	}
+	err = loss.Backward()
+	if err != nil {
+		err := fmt.Errorf("Optimizer.BackwardStepClipNorm() failed: %w\n", err)
+		return err
+	}
+
+	err = opt.ClipGradNorm(max, opts...)
+	if err != nil {
+		err := fmt.Errorf("Optimizer.BackwardStepClipNorm() failed: %w\n", err)
+		return err
+	}
+
+	err = opt.Step()
+	if err != nil {
+		err := fmt.Errorf("Optimizer.BackwardStepClipNorm() failed: %w\n", err)
+		return err
+	}
+
+	return nil
+}
+
+// MustBackwardStepClipNorm applies a backward step pass, update the gradients, and performs an optimization step.
+//
+// The gradients L2 norm is clipped based on `max`.
+func (opt *Optimizer) MustBackwardStepClipNorm(loss *ts.Tensor, max float64, opts ...ClipOpt) {
+	err := opt.BackwardStepClipNorm(loss, max, opts...)
+	if err != nil {
+		log.Fatal(err)
+	}
+}
+
+// SetLR sets the optimizer learning rate.
+//
+// NOTE. it sets a SINGLE value of learning rate for all parameter groups.
+// Most of the time, there's one parameter group.
+func (opt *Optimizer) SetLR(lr float64) {
+	err := opt.opt.SetLearningRate(lr)
+	if err != nil {
+		log.Fatalf("Optimizer - SetLR  method call error: %v\n", err)
+	}
+}
+
+func (opt *Optimizer) GetLRs() []float64 {
+	lrs, err := opt.opt.GetLearningRates()
+	if err != nil {
+		log.Fatalf("Optimizer - GetLRs  method call error: %v\n", err)
+	}
+
+	return lrs
+}
+
+// SetLRs sets learning rates for ALL parameter groups respectively.
+func (opt *Optimizer) SetLRs(lrs []float64) {
+	err := opt.opt.SetLearningRates(lrs)
+	if err != nil {
+		log.Fatalf("Optimizer - SetLRs  method call error: %v\n", err)
+	}
+}
+
+// SetMomentum sets the optimizer momentum.
+func (opt *Optimizer) SetMomentum(m float64) {
+	err := opt.opt.SetMomentum(m)
+	if err != nil {
+		log.Fatalf("Optimizer - SetMomentum  method call error: %v\n", err)
+	}
+}
+
+func (opt *Optimizer) ParamGroupNum() int {
+	ngroup, err := opt.opt.ParamGroupNum()
+	if err != nil {
+		log.Fatalf("Optimizer - ParamGroupNum  method call error: %v\n", err)
+	}
+
+	return int(ngroup)
+}
+
+func (opt *Optimizer) AddParamGroup(tensors []*ts.Tensor) {
+	err := opt.opt.AddParamGroup(tensors)
+	if err != nil {
+		log.Fatalf("Optimizer - ParamGroupNum  method call error: %v\n", err)
+	}
+}

logic/models/train/torch/nn/utils.go

@@ -0,0 +1,18 @@
+package my_nn
+
+import (
+	torch "git.andr3h3nriqu3s.com/andr3/gotch/ts"
+)
+
+func or_panic(err error) {
+	if err != nil {
+		panic(err)
+	}
+}
+
+type MyLayer interface {
+    torch.ModuleT
+
+    ExtractFromVarstore(vs *VarStore)
+    Debug()
+}

logic/models/train/torch/torch.go

@@ -0,0 +1,120 @@
+package train
+
+import (
+	types "git.andr3h3nriqu3s.com/andr3/fyp/logic/db_types"
+	my_nn "git.andr3h3nriqu3s.com/andr3/fyp/logic/models/train/torch/nn"
+
+	"git.andr3h3nriqu3s.com/andr3/gotch"
+	"github.com/charmbracelet/log"
+
+	torch "git.andr3h3nriqu3s.com/andr3/gotch/ts"
+)
+
+type IForwardable interface {
+	Forward(xs *torch.Tensor) *torch.Tensor
+}
+
+// Container for a model
+type ContainerModel struct {
+	Layers []my_nn.MyLayer
+	Vs     *my_nn.VarStore
+	path   *my_nn.Path
+}
+
+func (n *ContainerModel) ForwardT(x *torch.Tensor, train bool) *torch.Tensor {
+	if len(n.Layers) == 0 {
+		return x.MustShallowClone()
+	}
+
+	if len(n.Layers) == 1 {
+        log.Info("here")
+		return n.Layers[0].ForwardT(x, train)
+	}
+
+	// forward sequentially
+	outs := make([]*torch.Tensor, len(n.Layers))
+	for i := 0; i < len(n.Layers); i++ {
+		if i == 0 {
+			outs[0] = n.Layers[i].ForwardT(x, train)
+			//defer outs[0].MustDrop()
+		} else if i == len(n.Layers)-1 {
+            return n.Layers[i].ForwardT(outs[i-1], train)
+		} else {
+			outs[i] = n.Layers[i].ForwardT(outs[i-1], train)
+		    //defer outs[i].MustDrop()
+		}
+	}
+    panic("Do not reach here")
+}
+
+func (n *ContainerModel) To(device gotch.Device) {
+	n.Vs.ToDevice(device)
+	for _, layer := range n.Layers {
+		layer.ExtractFromVarstore(n.Vs)
+	}
+}
+
+func (n *ContainerModel) Refresh() {
+	for _, layer := range n.Layers {
+		layer.ExtractFromVarstore(n.Vs)
+	}
+}
+
+func BuildModel(layers []*types.Layer, _lastLinearSize int64, addSigmoid bool) *ContainerModel {
+
+	base_vs := my_nn.NewVarStore(gotch.CPU)
+	vs := base_vs.Root()
+
+	m_layers := []my_nn.MyLayer{}
+
+	var lastLinearSize int64 = _lastLinearSize
+	lastLinearConv := []int64{}
+
+	for _, layer := range layers {
+		if layer.LayerType == types.LAYER_INPUT {
+			lastLinearConv = layer.GetShape()
+			log.Info("Input: ", "In:", lastLinearConv)
+		} else if layer.LayerType == types.LAYER_DENSE {
+			shape := layer.GetShape()
+			log.Info("New Dense: ", "In:", lastLinearSize, "out:", shape[0])
+			m_layers = append(m_layers, NewLinear(vs, lastLinearSize, shape[0]))
+			lastLinearSize = shape[0]
+		} else if layer.LayerType == types.LAYER_FLATTEN {
+			m_layers = append(m_layers, NewFlatten())
+			lastLinearSize = 1
+			for _, i := range lastLinearConv {
+				lastLinearSize *= i
+			}
+			log.Info("Flatten: ", "In:", lastLinearConv, "out:", lastLinearSize)
+		} else if layer.LayerType == types.LAYER_SIMPLE_BLOCK {
+			panic("TODO")
+			log.Info("New Block: ", "In:", lastLinearConv, "out:", []int64{lastLinearConv[1] / 2, lastLinearConv[2] / 2, 128})
+			//m_layers = append(m_layers, NewSimpleBlock(vs, lastLinearConv[0]))
+			lastLinearConv[0] = 128
+			lastLinearConv[1] /= 2
+			lastLinearConv[2] /= 2
+		}
+	}
+
+	if addSigmoid {
+		m_layers = append(m_layers, NewSigmoid())
+	}
+
+	b := &ContainerModel{
+		Layers: m_layers,
+		Vs:     base_vs,
+		path:   vs,
+	}
+	return b
+}
+
+func (model *ContainerModel) Debug() {
+    for _, v := range model.Layers {
+        v.Debug()
+    }
+}
+
+func SaveModel(model *ContainerModel, modelFn string) (err error) {
+	model.Vs.ToDevice(gotch.CPU)
+	return model.Vs.Save(modelFn)
+}

logic/models/train/torch/utils.go

@@ -0,0 +1,152 @@
+package train
+
+import (
+	"unsafe"
+
+	my_nn "git.andr3h3nriqu3s.com/andr3/fyp/logic/models/train/torch/nn"
+
+	"github.com/charmbracelet/log"
+
+	"git.andr3h3nriqu3s.com/andr3/gotch/nn"
+	torch "git.andr3h3nriqu3s.com/andr3/gotch/ts"
+)
+
+func or_panic(err error) {
+	if err != nil {
+		log.Fatal(err)
+	}
+}
+
+type SimpleBlock struct {
+	C1, C2 *nn.Conv2D
+	BN1    *nn.BatchNorm
+}
+
+// BasicBlock returns a BasicBlockModule instance
+func NewSimpleBlock(_vs *my_nn.Path, inplanes int64) *SimpleBlock {
+    vs := (*nn.Path)(unsafe.Pointer(_vs))
+
+	conf1 := nn.DefaultConv2DConfig()
+	conf1.Stride = []int64{2, 2}
+
+	conf2 := nn.DefaultConv2DConfig()
+	conf2.Padding = []int64{2, 2}
+
+	b := &SimpleBlock{
+		C1:  nn.NewConv2D(vs, inplanes, 128, 3, conf1),
+		C2:  nn.NewConv2D(vs, 128, 128, 3, conf2),
+		BN1: nn.NewBatchNorm(vs, 2, 128, nn.DefaultBatchNormConfig()),
+	}
+	return b
+}
+
+// Forward method
+func (b *SimpleBlock) Forward(x *torch.Tensor) *torch.Tensor {
+	identity := x
+
+	out := b.C1.Forward(x)
+	out = out.MustRelu(false)
+
+	out = b.C2.Forward(out)
+	out = out.MustRelu(false)
+
+	shape, err := out.Size()
+	or_panic(err)
+
+	out, err = out.AdaptiveAvgPool2d(shape, false)
+	or_panic(err)
+
+	out = b.BN1.Forward(out)
+	out, err = out.LeakyRelu(false)
+	or_panic(err)
+
+	out = out.MustAdd(identity, false)
+	out = out.MustRelu(false)
+
+	return out
+}
+
+func (b *SimpleBlock) ForwardT(x *torch.Tensor, train bool) *torch.Tensor {
+	identity := x
+
+	out := b.C1.ForwardT(x, train)
+	out = out.MustRelu(false)
+
+	out = b.C2.ForwardT(out, train)
+	out = out.MustRelu(false)
+
+	shape, err := out.Size()
+	or_panic(err)
+
+	out, err = out.AdaptiveAvgPool2d(shape, false)
+	or_panic(err)
+
+	out = b.BN1.ForwardT(out, train)
+	out, err = out.LeakyRelu(false)
+	or_panic(err)
+
+	out = out.MustAdd(identity, false)
+	out = out.MustRelu(false)
+
+	return out
+}
+
+
+// BasicBlock returns a BasicBlockModule instance
+func NewLinear(vs *my_nn.Path, in, out int64) *my_nn.Linear {
+	config := my_nn.DefaultLinearConfig()
+	return my_nn.NewLinear(vs, in, out, config)
+}
+
+type Flatten struct{}
+
+// BasicBlock returns a BasicBlockModule instance
+func NewFlatten() *Flatten {
+	return &Flatten{}
+}
+
+// The flatten layer does not to move anything to the device
+func (b *Flatten) ExtractFromVarstore(vs *my_nn.VarStore) {}
+func (b *Flatten) Debug() {}
+
+// Forward method
+func (b *Flatten) Forward(x *torch.Tensor) *torch.Tensor {
+
+	out, err := x.Flatten(1, -1, false)
+	or_panic(err)
+
+	return out
+}
+
+func (b *Flatten) ForwardT(x *torch.Tensor, train bool) *torch.Tensor {
+
+	out, err := x.Flatten(1, -1, false)
+	or_panic(err)
+
+	return out
+}
+
+type Sigmoid struct{}
+
+func NewSigmoid() *Sigmoid {
+	return &Sigmoid{}
+}
+
+// The sigmoid layer does not need to move anything to another device
+func (b *Sigmoid) ExtractFromVarstore(vs *my_nn.VarStore) {}
+func (b *Sigmoid) Debug() {}
+
+func (b *Sigmoid) Forward(x *torch.Tensor) *torch.Tensor {
+	out, err := x.Sigmoid(false)
+	or_panic(err)
+
+	return out
+}
+
+func (b *Sigmoid) ForwardT(x *torch.Tensor, train bool) *torch.Tensor {
+    out, err := x.Sigmoid(false)
+    or_panic(err)
+
+    return out
+}
+

logic/stats/tasks.go

@@ -14,7 +14,7 @@ func handleTasksStats(handle *Handle) {
 	}
 	PostAuthJson(handle, "/stats/task/model/day", User_Normal, func(c *Context, dat *ModelTasksStatsRequest) *Error {
 		model, err := GetBaseModel(c, dat.ModelId)
-		if err == ModelNotFoundError {
+		if err == NotFoundError {
 			return c.JsonBadRequest("Model not found!")
 		} else if err != nil {
 			return c.E500M("Failed to get model", err)
@@ -68,7 +68,7 @@ func handleTasksStats(handle *Handle) {
 				} else if task.Status < 2 {
 					total.Classfication_pre += 1
 					hours[hour].Classfication_pre += 1
-				} else if task.Status < 4 || task.Status == 5 {
+				} else if task.Status < 4 {
 					total.Classfication_running += 1
 					hours[hour].Classfication_running += 1
 				}

logic/tasks/agreement.go

@@ -14,7 +14,7 @@ func handleRequests(x *Handle) {
 	PostAuthJson(x, "/task/agreement", User_Normal, func(c *Context, dat *AgreementRequest) *Error {
 		var task Task
 		err := GetDBOnce(c, &task, "tasks where id=$1", dat.Id)
-		if err == ModelNotFoundError {
+		if err == NotFoundError {
 			return c.JsonBadRequest("Model not found")
 		} else if err != nil {
 			return c.E500M("Failed to get task data", err)

logic/tasks/index.go

@@ -8,6 +8,4 @@ func HandleTasks(handle *Handle) {
 	handleUpload(handle)
 	handleList(handle)
 	handleRequests(handle)
-	handleRemoteRunner(handle)
-	handleRunnerData(handle)
 }

logic/tasks/list.go

@@ -46,7 +46,7 @@ func handleList(handler *Handle) {
 
 		if requestData.ModelId != "" {
 			_, err := GetBaseModel(c.Db, requestData.ModelId)
-			if err == ModelNotFoundError {
+			if err == NotFoundError {
 				return c.SendJSONStatus(404, "Model not found!")
 			} else if err != nil {
 				return c.Error500(err)

logic/tasks/runner.go

@@ -1,960 +0,0 @@
-package tasks
-
-import (
-	"os"
-	"path"
-	"sync"
-	"time"
-
-	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/db_types"
-	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/models/train"
-	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/tasks/utils"
-	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/utils"
-	"github.com/charmbracelet/log"
-)
-
-func verifyRunner(c *Context, dat *JustId) (runner *Runner, e *Error) {
-	runner, err := GetRunner(c, dat.Id)
-	if err == NotFoundError {
-		e = c.JsonBadRequest("Could not find runner, please register runner first")
-		return
-	} else if err != nil {
-		e = c.E500M("Failed to get information about the runner", err)
-		return
-	}
-
-	if runner.Token != *c.Token {
-		return nil, c.SendJSONStatus(401, "Only runners can use this funcion")
-	}
-
-	return
-}
-
-type VerifyTask struct {
-	Id     string `json:"id" validate:"required"`
-	TaskId string `json:"taskId" validate:"required"`
-}
-
-type RunnerTrainDef struct {
-	Id     string `json:"id" validate:"required"`
-	TaskId string `json:"taskId" validate:"required"`
-	DefId  string `json:"defId" validate:"required"`
-}
-
-func verifyTask(x *Handle, c *Context, dat *VerifyTask) (task *Task, error *Error) {
-	mutex := x.DataMap["runners_mutex"].(*sync.Mutex)
-	mutex.Lock()
-	defer mutex.Unlock()
-
-	var runners map[string]interface{} = x.DataMap["runners"].(map[string]interface{})
-	if runners[dat.Id] == nil {
-		return nil, c.JsonBadRequest("Runner not active")
-	}
-
-	var runner_data map[string]interface{} = runners[dat.Id].(map[string]interface{})
-
-	if runner_data["task"] == nil {
-		return nil, c.SendJSONStatus(404, "No active task")
-	}
-
-	return runner_data["task"].(*Task), nil
-}
-
-func clearRunnerTask(x *Handle, runner_id string) {
-	mutex := x.DataMap["runners_mutex"].(*sync.Mutex)
-	mutex.Lock()
-	defer mutex.Unlock()
-
-	var runners map[string]interface{} = x.DataMap["runners"].(map[string]interface{})
-	var runner_data map[string]interface{} = runners[runner_id].(map[string]interface{})
-	runner_data["task"] = nil
-	runners[runner_id] = runner_data
-	x.DataMap["runners"] = runners
-}
-
-func handleRemoteRunner(x *Handle) {
-
-	type RegisterRunner struct {
-		Token string     `json:"token" validate:"required"`
-		Type  RunnerType `json:"type" validate:"required"`
-	}
-	PostAuthJson(x, "/tasks/runner/register", User_Normal, func(c *Context, dat *RegisterRunner) *Error {
-		if *c.Token != dat.Token {
-			// TODO do admin
-			return c.E500M("Please make sure that the token is the same that is being registered", nil)
-		}
-
-		c.Logger.Info("test", "dat", dat)
-
-		var runner Runner
-		err := GetDBOnce(c, &runner, "remote_runner as ru where token=$1", dat.Token)
-		if err != NotFoundError && err != nil {
-			return c.E500M("Failed to get information remote runners", err)
-		}
-		if err != NotFoundError {
-			return c.JsonBadRequest("Token is already registered by a runner")
-		}
-
-		// TODO get id from token passed by when doing admin
-		var userId = c.User.Id
-
-		var new_runner = struct {
-			Type   RunnerType
-			UserId string `db:"user_id"`
-			Token  string
-		}{
-			Type:   dat.Type,
-			Token:  dat.Token,
-			UserId: userId,
-		}
-
-		id, err := InsertReturnId(c, &new_runner, "remote_runner", "id")
-		if err != nil {
-			return c.E500M("Failed to create remote runner", err)
-		}
-
-		return c.SendJSON(struct {
-			Id string `json:"id"`
-		}{
-			Id: id,
-		})
-	})
-
-	// TODO remove runner
-
-	PostAuthJson(x, "/tasks/runner/init", User_Normal, func(c *Context, dat *JustId) *Error {
-		runner, error := verifyRunner(c, dat)
-		if error != nil {
-			return error
-		}
-
-		mutex := x.DataMap["runners_mutex"].(*sync.Mutex)
-		mutex.Lock()
-		defer mutex.Unlock()
-
-		var runners map[string]interface{} = x.DataMap["runners"].(map[string]interface{})
-		if runners[dat.Id] != nil {
-			c.Logger.Info("Logger trying to register but already registerd")
-			c.ShowMessage = false
-			return c.SendJSON("Ok")
-		}
-
-		var new_runner = map[string]interface{}{}
-		new_runner["last_time_check"] = time.Now()
-		new_runner["runner_info"] = runner
-
-		runners[dat.Id] = new_runner
-
-		x.DataMap["runners"] = runners
-
-		return c.SendJSON("Ok")
-	})
-
-	PostAuthJson(x, "/tasks/runner/active", User_Normal, func(c *Context, dat *JustId) *Error {
-		_, error := verifyRunner(c, dat)
-		if error != nil {
-			return error
-		}
-
-		mutex := x.DataMap["runners_mutex"].(*sync.Mutex)
-		mutex.Lock()
-		defer mutex.Unlock()
-
-		var runners map[string]interface{} = x.DataMap["runners"].(map[string]interface{})
-		if runners[dat.Id] == nil {
-			return c.JsonBadRequest("Runner not active")
-		}
-
-		var runner_data map[string]interface{} = runners[dat.Id].(map[string]interface{})
-
-		if runner_data["task"] == nil {
-			c.ShowMessage = false
-			return c.SendJSONStatus(404, "No active task")
-		}
-
-		c.ShowMessage = false
-		// This should be a task obj
-		return c.SendJSON(runner_data["task"])
-	})
-
-	PostAuthJson(x, "/tasks/runner/ready", User_Normal, func(c *Context, dat *VerifyTask) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, dat)
-		if error != nil {
-			return error
-		}
-
-		err := task.UpdateStatus(c, TASK_RUNNING, "Task Running on Runner")
-		if err != nil {
-			return c.E500M("Failed to set task status", err)
-		}
-
-		return c.SendJSON("Ok")
-	})
-
-	type TaskFail struct {
-		Id     string `json:"id" validate:"required"`
-		TaskId string `json:"taskId" validate:"required"`
-		Reason string `json:"reason" validate:"required"`
-	}
-	PostAuthJson(x, "/tasks/runner/fail", User_Normal, func(c *Context, dat *TaskFail) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, &VerifyTask{Id: dat.Id, TaskId: dat.TaskId})
-		if error != nil {
-			return error
-		}
-
-		err := task.UpdateStatus(c, TASK_FAILED_RUNNING, dat.Reason)
-		if err != nil {
-			return c.E500M("Failed to set task status", err)
-		}
-
-		// Do extra clean up on tasks
-		switch task.TaskType {
-		case int(TASK_TYPE_TRAINING):
-			CleanUpFailed(c, task)
-		case int(TASK_TYPE_RETRAINING):
-			CleanUpFailedRetrain(c, task)
-		case int(TASK_TYPE_CLASSIFICATION):
-			// DO nothing
-		default:
-			panic("Do not know how to handle this")
-		}
-
-		mutex := x.DataMap["runners_mutex"].(*sync.Mutex)
-		mutex.Lock()
-		defer mutex.Unlock()
-
-		var runners map[string]interface{} = x.DataMap["runners"].(map[string]interface{})
-		var runner_data map[string]interface{} = runners[dat.Id].(map[string]interface{})
-		runner_data["task"] = nil
-
-		runners[dat.Id] = runner_data
-		x.DataMap["runners"] = runners
-
-		return c.SendJSON("Ok")
-	})
-
-	PostAuthJson(x, "/tasks/runner/defs", User_Normal, func(c *Context, dat *VerifyTask) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, dat)
-		if error != nil {
-			return error
-		}
-
-		var status DefinitionStatus
-		switch task.TaskType {
-		case int(TASK_TYPE_TRAINING):
-			status = DEFINITION_STATUS_INIT
-		case int(TASK_TYPE_RETRAINING):
-			fallthrough
-		case int(TASK_TYPE_CLASSIFICATION):
-			status = DEFINITION_STATUS_READY
-		default:
-			c.Logger.Error("Task not is not the right type to get the definitions", "task type", task.TaskType)
-			return c.JsonBadRequest("Task is not the right type go get the definitions")
-		}
-
-		model, err := GetBaseModel(c, *task.ModelId)
-		if err != nil {
-			return c.E500M("Failed to get model information", err)
-		}
-
-		defs, err := model.GetDefinitions(c, "and md.status=$2", status)
-		if err != nil {
-			return c.E500M("Failed to get the model definitions", err)
-		}
-
-		return c.SendJSON(defs)
-	})
-
-	PostAuthJson(x, "/tasks/runner/classes", User_Normal, func(c *Context, dat *VerifyTask) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, dat)
-		if error != nil {
-			return error
-		}
-
-		model, err := GetBaseModel(c, *task.ModelId)
-		if err != nil {
-			return c.E500M("Failed to get model information", err)
-		}
-
-		switch task.TaskType {
-		case int(TASK_TYPE_TRAINING):
-			classes, err := model.GetClasses(c, "and status in ($2, $3) order by mc.class_order asc", CLASS_STATUS_TO_TRAIN, CLASS_STATUS_TRAINING)
-			if err != nil {
-				return c.E500M("Failed to get the model classes", err)
-			}
-			return c.SendJSON(classes)
-		case int(TASK_TYPE_RETRAINING):
-			classes, err := model.GetClasses(c, "and status=$2 order by mc.class_order asc", CLASS_STATUS_TRAINING)
-			if err != nil {
-				return c.E500M("Failed to get the model classes", err)
-			}
-			return c.SendJSON(classes)
-		case int(TASK_TYPE_CLASSIFICATION):
-			classes, err := model.GetClasses(c, "and status=$2 order by mc.class_order asc", CLASS_STATUS_TRAINED)
-			if err != nil {
-				return c.E500M("Failed to get the model classes", err)
-			}
-			return c.SendJSON(classes)
-		default:
-			c.Logger.Error("Task not is not the right type to get the definitions", "task type", task.TaskType)
-			return c.JsonBadRequest("Task is not the right type go get the definitions")
-		}
-
-	})
-
-	type RunnerTrainDefStatus struct {
-		Id     string           `json:"id" validate:"required"`
-		TaskId string           `json:"taskId" validate:"required"`
-		DefId  string           `json:"defId" validate:"required"`
-		Status DefinitionStatus `json:"status" validate:"required"`
-	}
-	PostAuthJson(x, "/tasks/runner/train/def/status", User_Normal, func(c *Context, dat *RunnerTrainDefStatus) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, &VerifyTask{Id: dat.Id, TaskId: dat.TaskId})
-		if error != nil {
-			return error
-		}
-
-		if task.TaskType != int(TASK_TYPE_TRAINING) {
-			c.Logger.Error("Task not is not the right type to get the definitions", "task type", task.TaskType)
-			return c.JsonBadRequest("Task is not the right type go get the definitions")
-		}
-
-		def, err := GetDefinition(c, dat.DefId)
-		if err != nil {
-			return c.E500M("Failed to get definition information", err)
-		}
-
-		err = def.UpdateStatus(c, dat.Status)
-		if err != nil {
-			return c.E500M("Failed to update model status", err)
-		}
-
-		return c.SendJSON("Ok")
-	})
-
-	type RunnerTrainDefHeadStatus struct {
-		Id     string          `json:"id" validate:"required"`
-		TaskId string          `json:"taskId" validate:"required"`
-		DefId  string          `json:"defId" validate:"required"`
-		Status ModelHeadStatus `json:"status" validate:"required"`
-	}
-	PostAuthJson(x, "/tasks/runner/train/def/head/status", User_Normal, func(c *Context, dat *RunnerTrainDefHeadStatus) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, &VerifyTask{Id: dat.Id, TaskId: dat.TaskId})
-		if error != nil {
-			return error
-		}
-
-		if task.TaskType != int(TASK_TYPE_TRAINING) {
-			c.Logger.Error("Task not is not the right type to get the definitions", "task type", task.TaskType)
-			return c.JsonBadRequest("Task is not the right type go get the definitions")
-		}
-
-		def, err := GetDefinition(c, dat.DefId)
-		if err != nil {
-			return c.E500M("Failed to get definition information", err)
-		}
-
-		_, err = c.Exec("update exp_model_head set status=$1 where def_id=$2;", dat.Status, def.Id)
-		if err != nil {
-			log.Error("Failed to train definition!")
-			return c.E500M("Failed to train definition", err)
-		}
-
-		return c.SendJSON("Ok")
-	})
-
-	type RunnerRetrainDefHeadStatus struct {
-		Id     string          `json:"id" validate:"required"`
-		TaskId string          `json:"taskId" validate:"required"`
-		HeadId string          `json:"defId" validate:"required"`
-		Status ModelHeadStatus `json:"status" validate:"required"`
-	}
-	PostAuthJson(x, "/tasks/runner/retrain/def/head/status", User_Normal, func(c *Context, dat *RunnerRetrainDefHeadStatus) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, &VerifyTask{Id: dat.Id, TaskId: dat.TaskId})
-		if error != nil {
-			return error
-		}
-
-		if task.TaskType != int(TASK_TYPE_RETRAINING) {
-			c.Logger.Error("Task not is not the right type to get the definitions", "task type", task.TaskType)
-			return c.JsonBadRequest("Task is not the right type go get the definitions")
-		}
-
-		if err := UpdateStatus(c.GetDb(), "exp_model_head", dat.HeadId, MODEL_DEFINITION_STATUS_TRAINING); err != nil {
-			return c.E500M("Failed to update head status", err)
-		}
-
-		return c.SendJSON("Ok")
-	})
-	PostAuthJson(x, "/tasks/runner/train/def/layers", User_Normal, func(c *Context, dat *RunnerTrainDef) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, &VerifyTask{Id: dat.Id, TaskId: dat.TaskId})
-		if error != nil {
-			return error
-		}
-
-		switch task.TaskType {
-		case int(TASK_TYPE_TRAINING):
-			// Do nothing
-		case int(TASK_TYPE_RETRAINING):
-			// Do nothing
-		default:
-			c.Logger.Error("Task not is not the right type to get the layers", "task type", task.TaskType)
-			return c.JsonBadRequest("Task is not the right type go get the layers")
-		}
-
-		def, err := GetDefinition(c, dat.DefId)
-		if err != nil {
-			return c.E500M("Failed to get definition information", err)
-		}
-
-		layers, err := def.GetLayers(c, " order by layer_order asc")
-		if err != nil {
-			return c.E500M("Failed to get layers", err)
-		}
-
-		return c.SendJSON(layers)
-	})
-
-	PostAuthJson(x, "/tasks/runner/train/datapoints", User_Normal, func(c *Context, dat *VerifyTask) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, dat)
-		if error != nil {
-			return error
-		}
-
-		switch task.TaskType {
-		case int(TASK_TYPE_TRAINING):
-			// DO nothing
-		case int(TASK_TYPE_RETRAINING):
-			// DO nothing
-		default:
-			c.Logger.Error("Task not is not the right type to get the definitions", "task type", task.TaskType)
-			return c.JsonBadRequest("Task is not the right type go get the definitions")
-		}
-
-		model, err := GetBaseModel(c, *task.ModelId)
-		if err != nil {
-			return c.E500M("Failed to get model information", err)
-		}
-
-		training_points, err := model.DataPoints(c, DATA_POINT_MODE_TRAINING)
-		if err != nil {
-			return c.E500M("Failed to get the model classes", err)
-		}
-		testing_points, err := model.DataPoints(c, DATA_POINT_MODE_TRAINING)
-		if err != nil {
-			return c.E500M("Failed to get the model classes", err)
-		}
-
-		return c.SendJSON(struct {
-			Testing  []DataPoint `json:"testing"`
-			Training []DataPoint `json:"training"`
-		}{
-			Testing:  testing_points,
-			Training: training_points,
-		})
-	})
-
-	type RunnerTrainDefEpoch struct {
-		Id       string  `json:"id" validate:"required"`
-		TaskId   string  `json:"taskId" validate:"required"`
-		DefId    string  `json:"defId" validate:"required"`
-		Epoch    int     `json:"epoch" validate:"required"`
-		Accuracy float64 `json:"accuracy" validate:"required"`
-	}
-	PostAuthJson(x, "/tasks/runner/train/epoch", User_Normal, func(c *Context, dat *RunnerTrainDefEpoch) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, &VerifyTask{
-			Id:     dat.Id,
-			TaskId: dat.TaskId,
-		})
-		if error != nil {
-			return error
-		}
-
-		if task.TaskType != int(TASK_TYPE_TRAINING) {
-			c.Logger.Error("Task not is not the right type to get the definitions", "task type", task.TaskType)
-			return c.JsonBadRequest("Task is not the right type go get the definitions")
-		}
-
-		def, err := GetDefinition(c, dat.DefId)
-		if err != nil {
-			return c.E500M("Failed to get definition information", err)
-		}
-
-		err = def.UpdateAfterEpoch(c, dat.Accuracy, dat.Epoch)
-		if err != nil {
-			return c.E500M("Failed to update model", err)
-		}
-
-		return c.SendJSON("Ok")
-	})
-
-	PostAuthJson(x, "/tasks/runner/train/mark-failed", User_Normal, func(c *Context, dat *VerifyTask) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, &VerifyTask{
-			Id:     dat.Id,
-			TaskId: dat.TaskId,
-		})
-		if error != nil {
-			return error
-		}
-
-		if task.TaskType != int(TASK_TYPE_TRAINING) {
-			c.Logger.Error("Task not is not the right type to get the definitions", "task type", task.TaskType)
-			return c.JsonBadRequest("Task is not the right type go get the definitions")
-		}
-
-		_, err := c.Exec(
-			"update model_definition set status=$1 "+
-				"where model_id=$2 and status in ($3, $4)",
-			MODEL_DEFINITION_STATUS_CANCELD_TRAINING,
-			task.ModelId,
-			MODEL_DEFINITION_STATUS_TRAINING,
-			MODEL_DEFINITION_STATUS_PAUSED_TRAINING,
-		)
-		if err != nil {
-			return c.E500M("Failed to mark definition as failed", err)
-		}
-
-		return c.SendJSON("Ok")
-	})
-
-	PostAuthJson(x, "/tasks/runner/model", User_Normal, func(c *Context, dat *VerifyTask) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, dat)
-		if error != nil {
-			return error
-		}
-
-		switch task.TaskType {
-		case int(TASK_TYPE_TRAINING):
-			//DO NOTHING
-		case int(TASK_TYPE_RETRAINING):
-			//DO NOTHING
-		case int(TASK_TYPE_CLASSIFICATION):
-			//DO NOTHING
-		default:
-			c.Logger.Error("Task not is not the right type to get the definitions", "task type", task.TaskType)
-			return c.JsonBadRequest("Task is not the right type go get the definitions")
-		}
-
-		model, err := GetBaseModel(c, *task.ModelId)
-		if err != nil {
-			return c.E500M("Failed to get model information", err)
-		}
-
-		return c.SendJSON(model)
-	})
-
-	PostAuthJson(x, "/tasks/runner/heads", User_Normal, func(c *Context, dat *RunnerTrainDef) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, &VerifyTask{Id: dat.Id, TaskId: dat.TaskId})
-		if error != nil {
-			return error
-		}
-
-		type ExpHead struct {
-			Id    string `json:"id"`
-			Start int    `db:"range_start" json:"start"`
-			End   int    `db:"range_end" json:"end"`
-		}
-
-		switch task.TaskType {
-		case int(TASK_TYPE_TRAINING):
-			fallthrough
-		case int(TASK_TYPE_RETRAINING):
-			// status = 2 (INIT) 3 (TRAINING)
-			heads, err := GetDbMultitple[ExpHead](c, "exp_model_head where def_id=$1 and status in (2,3)", dat.DefId)
-			if err != nil {
-				return c.E500M("Failed getting active heads", err)
-			}
-			return c.SendJSON(heads)
-		case int(TASK_TYPE_CLASSIFICATION):
-			heads, err := GetDbMultitple[ExpHead](c, "exp_model_head where def_id=$1", dat.DefId)
-			if err != nil {
-				return c.E500M("Failed getting active heads", err)
-			}
-			return c.SendJSON(heads)
-		default:
-			c.Logger.Error("Task not is not the right type to get the definitions", "task type", task.TaskType)
-			return c.JsonBadRequest("Task is not the right type go get the definitions")
-		}
-	})
-
-	PostAuthJson(x, "/tasks/runner/train_exp/class/status/train", User_Normal, func(c *Context, dat *VerifyTask) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, dat)
-		if error != nil {
-			return error
-		}
-
-		if task.TaskType != int(TASK_TYPE_TRAINING) {
-			c.Logger.Error("Task not is not the right type to get the definitions", "task type", task.TaskType)
-			return c.JsonBadRequest("Task is not the right type go get the definitions")
-		}
-
-		model, err := GetBaseModel(c, *task.ModelId)
-		if err != nil {
-			return c.E500M("Failed to get model", err)
-		}
-
-		err = SetModelClassStatus(c, CLASS_STATUS_TRAINING, "model_id=$1 and status=$2;", model.Id, CLASS_STATUS_TO_TRAIN)
-		if err != nil {
-			return c.E500M("Failed update status", err)
-		}
-
-		return c.SendJSON("Ok")
-	})
-
-	PostAuthJson(x, "/tasks/runner/train/done", User_Normal, func(c *Context, dat *VerifyTask) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, dat)
-		if error != nil {
-			return error
-		}
-
-		if task.TaskType != int(TASK_TYPE_TRAINING) {
-			c.Logger.Error("Task not is not the right type to get the definitions", "task type", task.TaskType)
-			return c.JsonBadRequest("Task is not the right type go get the definitions")
-		}
-
-		model, err := GetBaseModel(c, *task.ModelId)
-		if err != nil {
-			c.Logger.Error("Failed to get model", "err", err)
-			return c.E500M("Failed to get mode", err)
-		}
-
-		var def Definition
-		err = GetDBOnce(c, &def, "model_definition as md where model_id=$1 and status=$2 order by accuracy desc limit 1;", task.ModelId, DEFINITION_STATUS_TRANIED)
-		if err == NotFoundError {
-			// TODO Make the Model status have a message
-			c.Logger.Error("All definitions failed to train!")
-			model.UpdateStatus(c, FAILED_TRAINING)
-			task.UpdateStatusLog(c, TASK_FAILED_RUNNING, "All definition failed to train!")
-			return c.SendJSON("Ok")
-		} else if err != nil {
-			model.UpdateStatus(c, FAILED_TRAINING)
-			task.UpdateStatusLog(c, TASK_FAILED_RUNNING, "Failed to get model definition")
-			return c.E500M("Failed to get model definition", err)
-		}
-
-		if err = def.UpdateStatus(c, DEFINITION_STATUS_READY); err != nil {
-			model.UpdateStatus(c, FAILED_TRAINING)
-			task.UpdateStatusLog(c, TASK_FAILED_RUNNING, "Failed to update model definition")
-			return c.E500M("Failed to update model definition", err)
-		}
-
-		to_delete, err := c.Query("select id from model_definition where status != $1 and model_id=$2", MODEL_DEFINITION_STATUS_READY, model.Id)
-		if err != nil {
-			model.UpdateStatus(c, FAILED_TRAINING)
-			task.UpdateStatusLog(c, TASK_FAILED_RUNNING, "Failed to delete unsed definitions")
-			return c.E500M("Failed to delete unsed definitions", err)
-		}
-		defer to_delete.Close()
-
-		for to_delete.Next() {
-			var id string
-			if err = to_delete.Scan(&id); err != nil {
-				model.UpdateStatus(c, FAILED_TRAINING)
-				task.UpdateStatusLog(c, TASK_FAILED_RUNNING, "Failed to delete unsed definitions")
-				return c.E500M("Failed to delete unsed definitions", err)
-			}
-			os.RemoveAll(path.Join("savedData", model.Id, "defs", id))
-		}
-
-		// TODO Check if returning also works here
-		if _, err = c.Exec("delete from model_definition where status!=$1 and model_id=$2;", MODEL_DEFINITION_STATUS_READY, model.Id); err != nil {
-			model.UpdateStatus(c, FAILED_TRAINING)
-			task.UpdateStatusLog(c, TASK_FAILED_RUNNING, "Failed to delete unsed definitions")
-			return c.E500M("Failed to delete unsed definitions", err)
-		}
-
-		// Set the class status to trained
-		err = SetModelClassStatus(c, CLASS_STATUS_TRAINED, "model_id=$1;", model.Id)
-		if err != nil {
-			c.Logger.Error("Failed to set class status")
-			return c.E500M("Failed to set class status", err)
-		}
-
-		if err = model.UpdateStatus(c, READY); err != nil {
-			model.UpdateStatus(c, FAILED_TRAINING)
-			task.UpdateStatusLog(c, TASK_FAILED_RUNNING, "Failed to delete unsed definitions")
-			return c.E500M("Failed to update status of model", err)
-		}
-
-		task.UpdateStatusLog(c, TASK_DONE, "Model finished training")
-
-		clearRunnerTask(x, dat.Id)
-		return c.SendJSON("Ok")
-	})
-
-	type RunnerClassDone struct {
-		Id     string `json:"id" validate:"required"`
-		TaskId string `json:"taskId" validate:"required"`
-		Result string `json:"result" validate:"required"`
-	}
-	PostAuthJson(x, "/tasks/runner/class/done", User_Normal, func(c *Context, dat *RunnerClassDone) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, &VerifyTask{
-			Id:     dat.Id,
-			TaskId: dat.TaskId,
-		})
-		if error != nil {
-			return error
-		}
-
-		if task.TaskType != int(TASK_TYPE_CLASSIFICATION) {
-			c.Logger.Error("Task not is not the right type to get the definitions", "task type", task.TaskType)
-			return c.JsonBadRequest("Task is not the right type go get the definitions")
-		}
-
-		err := task.SetResultText(c, dat.Result)
-		if err != nil {
-			return c.E500M("Failed to update the task", err)
-		}
-
-		err = task.UpdateStatus(c, TASK_DONE, "Task completed")
-		if err != nil {
-			return c.E500M("Failed to update task", err)
-		}
-
-		mutex := x.DataMap["runners_mutex"].(*sync.Mutex)
-		mutex.Lock()
-		defer mutex.Unlock()
-
-		var runners map[string]interface{} = x.DataMap["runners"].(map[string]interface{})
-		var runner_data map[string]interface{} = runners[dat.Id].(map[string]interface{})
-		runner_data["task"] = nil
-		runners[dat.Id] = runner_data
-		x.DataMap["runners"] = runners
-
-		return c.SendJSON("Ok")
-	})
-
-	PostAuthJson(x, "/tasks/runner/train_exp/done", User_Normal, func(c *Context, dat *VerifyTask) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, dat)
-		if error != nil {
-			return error
-		}
-
-		if task.TaskType != int(TASK_TYPE_TRAINING) {
-			c.Logger.Error("Task not is not the right type to get the definitions", "task type", task.TaskType)
-			return c.JsonBadRequest("Task is not the right type go get the definitions")
-		}
-
-		model, err := GetBaseModel(c, *task.ModelId)
-		if err != nil {
-			c.Logger.Error("Failed to get model", "err", err)
-			return c.E500M("Failed to get mode", err)
-		}
-
-		// TODO add check the to the model
-
-		var def Definition
-		err = GetDBOnce(c, &def, "model_definition as md where model_id=$1 and status=$2 order by accuracy desc limit 1;", task.ModelId, DEFINITION_STATUS_TRANIED)
-		if err == NotFoundError {
-			// TODO Make the Model status have a message
-			c.Logger.Error("All definitions failed to train!")
-			model.UpdateStatus(c, FAILED_TRAINING)
-			task.UpdateStatusLog(c, TASK_FAILED_RUNNING, "All definition failed to train!")
-			clearRunnerTask(x, dat.Id)
-			return c.SendJSON("Ok")
-		} else if err != nil {
-			model.UpdateStatus(c, FAILED_TRAINING)
-			task.UpdateStatusLog(c, TASK_FAILED_RUNNING, "Failed to get model definition")
-			return c.E500M("Failed to get model definition", err)
-		}
-
-		if err = def.UpdateStatus(c, DEFINITION_STATUS_READY); err != nil {
-			model.UpdateStatus(c, FAILED_TRAINING)
-			task.UpdateStatusLog(c, TASK_FAILED_RUNNING, "Failed to update model definition")
-			return c.E500M("Failed to update model definition", err)
-		}
-
-		to_delete, err := GetDbMultitple[JustId](c, "model_definition where status!=$1 and model_id=$2", MODEL_DEFINITION_STATUS_READY, model.Id)
-		if err != nil {
-			c.GetLogger().Error("Failed to select model_definition to delete")
-			return c.E500M("Failed to select model definition to delete", err)
-		}
-
-		for _, d := range to_delete {
-			os.RemoveAll(path.Join("savedData", model.Id, "defs", d.Id))
-		}
-
-		// TODO Check if returning also works here
-		if _, err = c.Exec("delete from model_definition where status!=$1 and model_id=$2;", MODEL_DEFINITION_STATUS_READY, model.Id); err != nil {
-			model.UpdateStatus(c, FAILED_TRAINING)
-			task.UpdateStatusLog(c, TASK_FAILED_RUNNING, "Failed to delete unsed definitions")
-			return c.E500M("Failed to delete unsed definitions", err)
-		}
-
-		if err = SplitModel(c, model); err != nil {
-			err = SetModelClassStatus(c, CLASS_STATUS_TO_TRAIN, "model_id=$1 and status=$2;", model.Id, CLASS_STATUS_TRAINING)
-			if err != nil {
-				c.Logger.Error("Failed to split the model! And Failed to set class status")
-				return c.E500M("Failed to split the model", err)
-			}
-
-			c.Logger.Error("Failed to split the model")
-			return c.E500M("Failed to split the model", err)
-		}
-
-		// Set the class status to trained
-		err = SetModelClassStatus(c, CLASS_STATUS_TRAINED, "model_id=$1 and status=$2;", model.Id, CLASS_STATUS_TRAINING)
-		if err != nil {
-			c.Logger.Error("Failed to set class status")
-			return c.E500M("Failed to set class status", err)
-		}
-
-		c.Logger.Warn("Removing base model for", "model", model.Id, "def", def.Id)
-		os.RemoveAll(path.Join("savedData", model.Id, "defs", def.Id, "model"))
-		os.RemoveAll(path.Join("savedData", model.Id, "defs", def.Id, "model.keras"))
-
-		if err = model.UpdateStatus(c, READY); err != nil {
-			model.UpdateStatus(c, FAILED_TRAINING)
-			task.UpdateStatusLog(c, TASK_FAILED_RUNNING, "Failed to delete unsed definitions")
-			return c.E500M("Failed to update status of model", err)
-		}
-
-		task.UpdateStatusLog(c, TASK_DONE, "Model finished training")
-
-		mutex := x.DataMap["runners_mutex"].(*sync.Mutex)
-		mutex.Lock()
-		defer mutex.Unlock()
-
-		var runners map[string]interface{} = x.DataMap["runners"].(map[string]interface{})
-		var runner_data map[string]interface{} = runners[dat.Id].(map[string]interface{})
-		runner_data["task"] = nil
-		runners[dat.Id] = runner_data
-		x.DataMap["runners"] = runners
-
-		return c.SendJSON("Ok")
-	})
-
-	PostAuthJson(x, "/tasks/runner/retrain/done", User_Normal, func(c *Context, dat *VerifyTask) *Error {
-		_, error := verifyRunner(c, &JustId{Id: dat.Id})
-		if error != nil {
-			return error
-		}
-
-		task, error := verifyTask(x, c, dat)
-		if error != nil {
-			return error
-		}
-
-		if task.TaskType != int(TASK_TYPE_RETRAINING) {
-			c.Logger.Error("Task not is not the right type to get the definitions", "task type", task.TaskType)
-			return c.JsonBadRequest("Task is not the right type go get the definitions")
-		}
-
-		model, err := GetBaseModel(c, *task.ModelId)
-		if err != nil {
-			c.Logger.Error("Failed to get model", "err", err)
-			return c.E500M("Failed to get mode", err)
-		}
-
-		err = SetModelClassStatus(c, CLASS_STATUS_TRAINED, "model_id=$1 and status=$2;", model.Id, CLASS_STATUS_TRAINING)
-		if err != nil {
-			return c.E500M("Failed to set class status", err)
-		}
-
-		defs, err := model.GetDefinitions(c, "")
-		if err != nil {
-			return c.E500M("Failed to get definitions", err)
-		}
-
-		_, err = c.Exec("update exp_model_head set status=$1 where status=$2 and def_id=$3", MODEL_HEAD_STATUS_READY, MODEL_HEAD_STATUS_TRAINING, defs[0].Id)
-		if err != nil {
-			return c.E500M("Failed to set head status", err)
-		}
-
-		err = model.UpdateStatus(c, READY)
-		if err != nil {
-			return c.E500M("Failed to set class status", err)
-		}
-
-		task.UpdateStatusLog(c, TASK_DONE, "Model finished training")
-		clearRunnerTask(x, dat.Id)
-
-		return c.SendJSON("Ok")
-	})
-
-}

logic/tasks/runner/runner.go

@@ -5,22 +5,20 @@ import (
 	"math"
 	"os"
 	"runtime/debug"
-	"sync"
 	"time"
 
 	"github.com/charmbracelet/log"
 
 	"git.andr3h3nriqu3s.com/andr3/fyp/logic/db"
 	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/db_types"
-	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/models"
+
+	// . "git.andr3h3nriqu3s.com/andr3/fyp/logic/models"
 	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/models/train"
 	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/tasks/utils"
 	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/users"
 	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/utils"
 )
 
-var QUEUE_SIZE = 10
-
 /**
 * Actually runs the code
  */
@@ -49,28 +47,18 @@ func runner(config Config, db db.Db, task_channel chan Task, index int, back_cha
 		Host:   config.Hostname,
 	}
 
-	loaded_model := RunnerModelData{
-		Id:    nil,
-		Model: nil,
-	}
-
-	count := 0
 	for task := range task_channel {
 		logger.Info("Got task", "task", task)
 		task.UpdateStatusLog(base, TASK_PICKED_UP, "Runner picked up task")
 
 		if task.TaskType == int(TASK_TYPE_CLASSIFICATION) {
 			logger.Info("Classification Task")
-			if err = ClassifyTask(base, task, &loaded_model); err != nil {
+			/*if err = ClassifyTask(base, task); err != nil {
 				logger.Error("Classification task failed", "error", err)
-			}
+			}*/
+			task.UpdateStatusLog(base, TASK_FAILED_RUNNING, "TODO move tasks to pytorch")
 
-			if count == QUEUE_SIZE {
 			back_channel <- index
-				count = 0
-			} else {
-				count += 1
-			}
 			continue
 		} else if task.TaskType == int(TASK_TYPE_TRAINING) {
 			logger.Info("Training Task")
@@ -78,12 +66,7 @@ func runner(config Config, db db.Db, task_channel chan Task, index int, back_cha
 				logger.Error("Failed to tain the model", "error", err)
 			}
 
-			if count == QUEUE_SIZE {
 			back_channel <- index
-				count = 0
-			} else {
-				count += 1
-			}
 			continue
 		} else if task.TaskType == int(TASK_TYPE_RETRAINING) {
 			logger.Info("Retraining Task")
@@ -91,12 +74,7 @@ func runner(config Config, db db.Db, task_channel chan Task, index int, back_cha
 				logger.Error("Failed to tain the model", "error", err)
 			}
 
-			if count == QUEUE_SIZE {
 			back_channel <- index
-				count = 0
-			} else {
-				count += 1
-			}
 			continue
 		} else if task.TaskType == int(TASK_TYPE_DELETE_USER) {
 			logger.Warn("User deleting Task")
@@ -104,81 +82,20 @@ func runner(config Config, db db.Db, task_channel chan Task, index int, back_cha
 				logger.Error("Failed to tain the model", "error", err)
 			}
 
-			if count == QUEUE_SIZE {
 			back_channel <- index
-				count = 0
-			} else {
-				count += 1
-			}
 			continue
 		}
 
 		logger.Error("Do not know how to route task", "task", task)
 		task.UpdateStatusLog(base, TASK_FAILED_RUNNING, "Do not know how to route task")
-		if count == QUEUE_SIZE {
 		back_channel <- index
-			count = 0
-		} else {
-			count += 1
-		}
-	}
-}
-
-/**
-* Handle remote runner
- */
-func handleRemoteTask(handler *Handle, base BasePack, runner_id string, task Task) {
-	logger := log.NewWithOptions(os.Stdout, log.Options{
-		ReportCaller:    true,
-		ReportTimestamp: true,
-		TimeFormat:      time.Kitchen,
-		Prefix:          fmt.Sprintf("Runner pre %s", runner_id),
-	})
-	defer func() {
-		if r := recover(); r != nil {
-			logger.Error("Runner failed to setup for runner", "due to", r, "stack", string(debug.Stack()))
-			// TODO maybe create better failed task
-			task.UpdateStatusLog(base, TASK_FAILED_RUNNING, "Failed to setup task for runner")
-		}
-	}()
-
-	err := task.UpdateStatus(base, TASK_PICKED_UP, "Failed to setup task for runner")
-	if err != nil {
-		logger.Error("Failed to mark task as PICK UP")
-		return
-	}
-
-	mutex := handler.DataMap["runners_mutex"].(*sync.Mutex)
-	mutex.Lock()
-	defer mutex.Unlock()
-
-	switch task.TaskType {
-	case int(TASK_TYPE_RETRAINING):
-		runners := handler.DataMap["runners"].(map[string]interface{})
-		runner := runners[runner_id].(map[string]interface{})
-		runner["task"] = &task
-		runners[runner_id] = runner
-		handler.DataMap["runners"] = runners
-	case int(TASK_TYPE_TRAINING):
-		if err := PrepareTraining(handler, base, task, runner_id); err != nil {
-			logger.Error("Failed to prepare for training", "err", err)
-		}
-	case int(TASK_TYPE_CLASSIFICATION):
-		runners := handler.DataMap["runners"].(map[string]interface{})
-		runner := runners[runner_id].(map[string]interface{})
-		runner["task"] = &task
-		runners[runner_id] = runner
-		handler.DataMap["runners"] = runners
-	default:
-		logger.Error("Not sure what to do panicing", "taskType", task.TaskType)
-		panic("not sure what to do")
 	}
 }
 
 /**
 * Tells the orcchestator to look at the task list from time to time
  */
-func attentionSeeker(config Config, db db.Db, back_channel chan int) {
+func attentionSeeker(config Config, back_channel chan int) {
 	logger := log.NewWithOptions(os.Stdout, log.Options{
 		ReportCaller:    true,
 		ReportTimestamp: true,
@@ -203,20 +120,6 @@ func attentionSeeker(config Config, db db.Db, back_channel chan int) {
 	for true {
 		back_channel <- 0
 
-		for {
-			var s struct {
-				Count int `json:"count(*)"`
-			}
-			err := GetDBOnce(db, &s, "tasks where stauts = 5 or status = 3")
-			if err != nil {
-				break
-			}
-			if s.Count == 0 {
-				break
-			}
-			time.Sleep(t)
-		}
-
 		time.Sleep(t)
 	}
 }
@@ -224,7 +127,7 @@ func attentionSeeker(config Config, db db.Db, back_channel chan int) {
 /**
 * Manages what worker should to Work
  */
-func RunnerOrchestrator(db db.Db, config Config, handler *Handle) {
+func RunnerOrchestrator(db db.Db, config Config) {
 	logger := log.NewWithOptions(os.Stdout, log.Options{
 		ReportCaller:    true,
 		ReportTimestamp: true,
@@ -232,156 +135,84 @@ func RunnerOrchestrator(db db.Db, config Config, handler *Handle) {
 		Prefix:          "Runner Orchestrator Logger",
 	})
 
-	setupHandle(handler)
-
-	base := BasePackStruct{
-		Db:     db,
-		Logger: logger,
-		Host:   config.Hostname,
-	}
-
 	gpu_workers := config.GpuWorker.NumberOfWorkers
-	def_wait, err := time.ParseDuration(config.GpuWorker.Pulling)
-	if err != nil {
-		logger.Error("Failed to load", "error", err)
-		return
-	}
 
 	logger.Info("Starting runners")
 
 	task_runners := make([]chan Task, gpu_workers)
-	task_runners_used := make([]int, gpu_workers)
+	task_runners_used := make([]bool, gpu_workers)
 	// One more to accomudate the Attention Seeker channel
 	back_channel := make(chan int, gpu_workers+1)
 
 	defer func() {
 		if r := recover(); r != nil {
-			logger.Error("Recovered in Orchestrator restarting", "due to", r, "stack", string(debug.Stack()))
+			logger.Error("Recovered in Orchestrator restarting", "due to", r)
 			for x := range task_runners {
 				close(task_runners[x])
 			}
 			close(back_channel)
-			go RunnerOrchestrator(db, config, handler)
+			go RunnerOrchestrator(db, config)
 		}
 	}()
 
-	// go attentionSeeker(config, db, back_channel)
+	go attentionSeeker(config, back_channel)
 
 	// Start the runners
 	for i := 0; i < gpu_workers; i++ {
-		task_runners[i] = make(chan Task, QUEUE_SIZE)
+		task_runners[i] = make(chan Task, 10)
-		task_runners_used[i] = 0
+		task_runners_used[i] = false
-		AddLocalRunner(handler, LocalRunner{
-			RunnerNum: i + 1,
-			Task:      nil,
-		})
 		go runner(config, db, task_runners[i], i+1, back_channel)
 	}
 
-	used := 0
+	var task_to_dispatch *Task = nil
-	wait := time.Nanosecond * 100
+
-	for {
+	for i := range back_channel {
-		out := true
+
-		for out {
-			select {
-			case i := <-back_channel:
-				if i != 0 {
 		if i > 0 {
 			logger.Info("Runner freed", "runner", i)
-						task_runners_used[i-1] = 0
+			task_runners_used[i-1] = false
-						used = 0
 		} else if i < 0 {
 			logger.Error("Runner died! Restarting!", "runner", i)
 			i = int(math.Abs(float64(i)) - 1)
-						task_runners_used[i] = 0
+			task_runners_used[i] = false
-						used = 0
 			go runner(config, db, task_runners[i], i+1, back_channel)
 		}
-					AddLocalTask(handler, int(math.Abs(float64(i))), nil)
-				} else if used == len(task_runners_used) {
-					continue
-				}
-			case <-time.After(wait):
-				if wait == time.Nanosecond*100 {
-					wait = def_wait
-				}
-				out = false
-			}
-		}
 
-		for {
+		if task_to_dispatch == nil {
-			tasks, err := GetDbMultitple[TaskT](db, "tasks as t "+
+			var task TaskT
+			err := GetDBOnce(db, &task, "tasks as t "+
 				// Get depenencies
 				"left join tasks_dependencies as td on t.id=td.main_id "+
 				// Get the task that the depencey resolves to
 				"left join tasks as t2 on t2.id=td.dependent_id "+
 				"where t.status=1 "+
-				"group by t.id having count(td.id) filter (where t2.status in (0,1,2,3)) = 0 limit 20;")
+				"group by t.id having count(td.id) filter (where t2.status in (0,1,2,3)) = 0;")
 			if err != NotFoundError && err != nil {
 				log.Error("Failed to get tasks from db", "err", err)
 				continue
 			}
-			if err == NotFoundError || len(tasks) == 0 {
+			if err == NotFoundError {
-				break
-			}
-
-			for _, task_to_dispatch := range tasks {
-				ttd := Task(*task_to_dispatch)
-				if task_to_dispatch != nil && task_to_dispatch.TaskType != int(TASK_TYPE_DELETE_USER) {
-					// TODO split tasks into cpu tasks and GPU tasks
-					mutex := handler.DataMap["runners_mutex"].(*sync.Mutex)
-					mutex.Lock()
-					remote_runners := handler.DataMap["runners"].(map[string]interface{})
-
-					for k, v := range remote_runners {
-						runner_data := v.(map[string]interface{})
-						runner_info := runner_data["runner_info"].(*Runner)
-
-						if runner_data["task"] != nil {
-							continue
-						}
-
-						if runner_info.UserId != task_to_dispatch.UserId {
-							continue
-						}
-
-						go handleRemoteTask(handler, base, k, ttd)
 				task_to_dispatch = nil
-						break
+			} else {
+				temp := Task(task)
+				task_to_dispatch = &temp
+			}
 		}
 
-					mutex.Unlock()
-				}
-
-				used = 0
 		if task_to_dispatch != nil {
 			for i := 0; i < len(task_runners_used); i += 1 {
-						if task_runners_used[i] <= QUEUE_SIZE {
+				if !task_runners_used[i] {
-							ttd.UpdateStatusLog(base, TASK_QUEUED, "Runner picked up task")
+					task_runners[i] <- *task_to_dispatch
-							task_runners[i] <- ttd
+					task_runners_used[i] = true
-							task_runners_used[i] += 1
-							AddLocalTask(handler, i+1, &ttd)
 					task_to_dispatch = nil
-							wait = time.Nanosecond * 100
 					break
-						} else {
-							used += 1
 				}
 			}
 		}
 
-				if used == len(task_runners_used) {
-					break
-				}
-			}
-
-			if used == len(task_runners_used) {
-				break
-			}
-		}
 	}
 }
 
-func StartRunners(db db.Db, config Config, handler *Handle) {
+func StartRunners(db db.Db, config Config) {
-	go RunnerOrchestrator(db, config, handler)
+	go RunnerOrchestrator(db, config)
 }

logic/tasks/runner/utils.go

@@ -1,51 +0,0 @@
-package task_runner
-
-import (
-	"sync"
-
-	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/tasks/utils"
-	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/utils"
-)
-
-type LocalRunner struct {
-	RunnerNum int   `json:"id"`
-	Task      *Task `json:"task"`
-}
-
-type LocalRunners map[int]*LocalRunner
-
-func LockRunners(handler *Handle, t string) *sync.Mutex {
-	req := t + "_runners_mutex"
-	if t == "" {
-		req = "runners_mutex"
-	}
-	mutex := handler.DataMap[req].(*sync.Mutex)
-	mutex.Lock()
-	return mutex
-}
-
-func setupHandle(handler *Handle) {
-	// Setup Remote Runner data
-	handler.DataMap["runners"] = map[string]interface{}{}
-	handler.DataMap["runners_mutex"] = &sync.Mutex{}
-
-	// Setup Local Runner data
-	handler.DataMap["local_runners"] = &LocalRunners{}
-	handler.DataMap["local_runners_mutex"] = &sync.Mutex{}
-}
-
-func AddLocalRunner(handler *Handle, runner LocalRunner) {
-	mutex := LockRunners(handler, "local")
-	defer mutex.Unlock()
-
-	runners := handler.DataMap["local_runners"].(*LocalRunners)
-	(*runners)[runner.RunnerNum] = &runner
-}
-
-func AddLocalTask(handler *Handle, runner_id int, task *Task) {
-	mutex := LockRunners(handler, "local")
-	defer mutex.Unlock()
-
-	runners := handler.DataMap["local_runners"].(*LocalRunners)
-	(*(*runners)[runner_id]).Task = task
-}

logic/tasks/runner_data.go

@@ -1,25 +0,0 @@
-package tasks
-
-import (
-	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/db_types"
-	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/tasks/runner"
-	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/utils"
-)
-
-func handleRunnerData(x *Handle) {
-	type NonType struct{}
-	PostAuthJson(x, "/tasks/runner/info", User_Admin, func(c *Context, dat *NonType) *Error {
-		mutex_remote := LockRunners(x, "")
-		defer mutex_remote.Unlock()
-		mutex_local := LockRunners(x, "local")
-		defer mutex_local.Unlock()
-
-		return c.SendJSON(struct {
-			RemoteRunners map[string]interface{} `json:"remoteRunners"`
-			LocalRunner   *LocalRunners          `json:"localRunners"`
-		}{
-			RemoteRunners: x.DataMap["runners"].(map[string]interface{}),
-			LocalRunner:   x.DataMap["local_runners"].(*LocalRunners),
-		})
-	})
-}

logic/tasks/utils/runner.go

@@ -1,29 +0,0 @@
-package tasks_utils
-
-import (
-	"time"
-
-	"git.andr3h3nriqu3s.com/andr3/fyp/logic/db"
-	dbtypes "git.andr3h3nriqu3s.com/andr3/fyp/logic/db_types"
-)
-
-type RunnerType int64
-
-const (
-	RUNNER_TYPE_GPU RunnerType = iota + 1
-)
-
-type Runner struct {
-	Id       string     `json:"id" db:"ru.id"`
-	UserId   string     `json:"user_id" db:"ru.user_id"`
-	Token    string     `json:"token" db:"ru.token"`
-	Type     RunnerType `json:"type" db:"ru.type"`
-	CreateOn time.Time  `json:"createOn" db:"ru.created_on"`
-}
-
-func GetRunner(db db.Db, id string) (ru *Runner, err error) {
-	var runner Runner
-	err = dbtypes.GetDBOnce(db, &runner, "remote_runner as ru where ru.id=$1", id)
-	ru = &runner
-	return
-}

logic/tasks/utils/utils.go

@@ -50,7 +50,6 @@ const (
 	TASK_PREPARING                  = 0
 	TASK_TODO                       = 1
 	TASK_PICKED_UP                  = 2
-	TASK_QUEUED                     = 5
 	TASK_RUNNING                    = 3
 	TASK_DONE                       = 4
 )
@@ -102,11 +101,7 @@ func (t Task) SetResult(base BasePack, result any) (err error) {
 	if err != nil {
 		return
 	}
-	return t.SetResultText(base, string(text))
+	_, err = base.GetDb().Exec("update tasks set result=$1 where id=$2", text, t.Id)
-}
-
-func (t Task) SetResultText(base BasePack, text string) (err error) {
-	_, err = base.GetDb().Exec("update tasks set result=$1 where id=$2", []byte(text), t.Id)
 	return
 }
 

logic/users/users.go

@@ -241,17 +241,6 @@ func UsersEndpints(db db.Db, handle *Handle) {
 		return c.SendJSON(userReturn)
 	})
 
-	PostAuthJson(handle, "/user/info/get", User_Admin, func(c *Context, dat *JustId) *Error {
-		var user *User
-		user, err := UserFromId(c, dat.Id)
-		if err == NotFoundError {
-			return c.SendJSONStatus(404, "User not found")
-		} else if err != nil {
-			return c.E500M("Could not get user", err)
-		}
-		return c.SendJSON(user)
-	})
-
 	// Handles updating users
 	type UpdateUserData struct {
 		Id    string `json:"id"`
@@ -423,18 +412,6 @@ func UsersEndpints(db db.Db, handle *Handle) {
 		return c.SendJSON("Ok")
 	})
 
-	handle.DeleteAuth("/user/token/logoff", User_Normal, func(c *Context) *Error {
-		if c.Token == nil {
-			return c.JsonBadRequest("Failed to get token")
-		}
-		_, err := c.Db.Exec("delete from tokens where token=$1;", c.Token)
-		if err != nil {
-			return c.E500M("Failed to delete token", err)
-		}
-
-		return c.SendJSON("OK")
-	})
-
 	type DeleteUser struct {
 		Id       string `json:"id" validate:"required"`
 		Password string `json:"password" validate:"required"`

logic/utils/config.go

@@ -24,11 +24,6 @@ type ServiceUser struct {
 
 type DbInfo struct {
 	MaxConnections int `toml:"max_connections"`
-	Host           string `toml:"host"`
-	Port           int    `toml:"port"`
-	User           string `toml:"user"`
-	Password       string `toml:"password"`
-	Dbname         string `toml:"dbname"`
 }
 
 type Config struct {
@@ -102,7 +97,7 @@ func (c *Config) Cleanup(db db.Db) {
 	failLog(err)
 	_, err = db.Exec("update models set status=$1 where status=$2", FAILED_PREPARING, PREPARING)
 	failLog(err)
-	_, err = db.Exec("update tasks set status=$1 where status=$2 or status=$3", TASK_TODO, TASK_PICKED_UP, TASK_QUEUED)
+	_, err = db.Exec("update tasks set status=$1 where status=$2", TASK_TODO, TASK_PICKED_UP)
 	failLog(err)
 
 	tasks, err := GetDbMultitple[Task](db, "tasks where status=$1", TASK_RUNNING)
@@ -119,16 +114,12 @@ func (c *Config) Cleanup(db db.Db) {
 			tasks[i].UpdateStatus(base, TASK_FAILED_RUNNING, "Task inturupted by server restart please try again")
 			_, err = db.Exec("update models set status=$1 where id=$2", READY_RETRAIN_FAILED, tasks[i].ModelId)
 			failLog(err)
-			_, err = db.Exec("update model_classes set status=$1 where model_id=$2 and status=$3", CLASS_STATUS_TO_TRAIN, tasks[i].ModelId, CLASS_STATUS_TRAINING)
-			failLog(err)
 			continue
 		}
 		if tasks[i].TaskType == int(TASK_TYPE_TRAINING) {
 			tasks[i].UpdateStatus(base, TASK_FAILED_RUNNING, "Task inturupted by server restart please try again")
 			_, err = db.Exec("update models set status=$1 where id=$2", FAILED_TRAINING, tasks[i].ModelId)
 			failLog(err)
-			_, err = db.Exec("update model_classes set status=$1 where model_id=$2 and status=$3", CLASS_STATUS_TO_TRAIN, tasks[i].ModelId, CLASS_STATUS_TRAINING)
-			failLog(err)
 			continue
 		}
 	}

logic/utils/handler.go

@@ -175,7 +175,7 @@ func (x *Handle) DeleteAuth(path string, authLevel dbtypes.UserType, fn func(c *
 		}
 		return fn(c)
 	}
-	x.deletes = append(x.deletes, HandleFunc{path, inner_fn})
+	x.posts = append(x.posts, HandleFunc{path, inner_fn})
 }
 
 func DeleteAuthJson[T interface{}](x *Handle, path string, authLevel dbtypes.UserType, fn func(c *Context, obj *T) *Error) {
@@ -374,7 +374,7 @@ func (c Context) JsonBadRequest(dat any) *Error {
 	c.SetReportCaller(true)
 	c.Logger.Warn("Request failed with a bad request", "dat", dat)
 	c.SetReportCaller(false)
-	return c.SendJSONStatus(http.StatusBadRequest, dat)
+	return c.ErrorCode(nil, 404, dat)
 }
 
 func (c Context) JsonErrorBadRequest(err error, dat any) *Error {
@@ -392,7 +392,7 @@ func (c *Context) GetModelFromId(id_path string) (*dbtypes.BaseModel, *Error) {
 	}
 
 	model, err := dbtypes.GetBaseModel(c.Db, id)
-	if err == dbtypes.ModelNotFoundError {
+	if err == dbtypes.NotFoundError {
 		return nil, c.SendJSONStatus(http.StatusNotFound, "Model not found")
 	} else if err != nil {
 		return nil, c.Error500(err)
@@ -449,7 +449,7 @@ func (x Handle) createContext(handler *Handle, r *http.Request, w http.ResponseW
 	logger := log.NewWithOptions(os.Stdout, log.Options{
 		ReportCaller:    true,
 		ReportTimestamp: true,
-		TimeFormat:      time.DateTime,
+		TimeFormat:      time.Kitchen,
 		Prefix:          r.URL.Path,
 	})
 

main.go

@@ -15,25 +15,32 @@ import (
 	. "git.andr3h3nriqu3s.com/andr3/fyp/logic/utils"
 )
 
-func main() {
+const (
+	host     = "localhost"
+	port     = 5432
+	user     = "postgres"
+	password = "verysafepassword"
+	dbname   = "aistuff"
+)
 
-	config := LoadConfig()
+func main_() {
-	log.Info("Config loaded!", "config", config)
 
 	psqlInfo := fmt.Sprintf("host=%s port=%d user=%s "+
 		"password=%s dbname=%s sslmode=disable",
-		config.DbInfo.Host, config.DbInfo.Port, config.DbInfo.User, config.DbInfo.Password, config.DbInfo.Dbname)
+		host, port, user, password, dbname)
 
 	db := db.StartUp(psqlInfo)
 	defer db.Close()
 
+	config := LoadConfig()
+	log.Info("Config loaded!", "config", config)
 	config.GenerateToken(db)
 
+	StartRunners(db, config)
+
 	//TODO check if file structure exists to save data
 	handle := NewHandler(db, config)
 
-	StartRunners(db, config, handle)
-
 	config.Cleanup(db)
 
 	// TODO Handle this in other way

nginx.dev.conf

@@ -1,6 +1,6 @@
 
 events {
-    worker_connections 2024;
+    worker_connections 1024;
 }
 
 http {
@@ -13,11 +13,11 @@ http {
     server {
         listen 8000;
 
-        client_max_body_size 5G;
+        client_max_body_size 1G;
 
         location / {
             proxy_http_version 1.1;
-            proxy_pass http://webpage:5001;
+            proxy_pass http://127.0.0.1:5001;
             proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
             proxy_set_header Upgrade $http_upgrade;
             proxy_set_header Connection $connection_upgrade;
@@ -25,7 +25,7 @@ http {
 
         location /api {
 
-            proxy_pass http://server:5002;
+            proxy_pass http://127.0.0.1:5002;
         }
     }
 }

requirements.txt

@@ -1,5 +0,0 @@
-tensorflow[and-cuda] == 2.15.1
-pandas
-# Make sure to install the nvidia pyindex first
-# nvidia-pyindex
-nvidia-cudnn

run.sh

@@ -1,2 +1,3 @@
-#!/bin/bash
+#!/bin/fish
-podman run --network host --gpus all --replace --name fyp-server --ulimit=nofile=100000:100000 -it -v $(pwd):/app -e "TERM=xterm-256color" --restart=always andre-fyp-server
+podman run --rm --network host --gpus all -ti -v (pwd):/app -e "TERM=xterm-256color" fyp-server bash
+

sql/base.sql

@@ -1 +1 @@
-CREATE DATABASE fyp;
+CREATE DATABASE aistuff;

sql/models.sql

@@ -35,7 +35,7 @@ create table if not exists model_classes (
     -- 1: to_train
     -- 2: training
     -- 3: trained
-    status integer default 1
+    status integer default 1,
 );
 
 -- drop table if exists model_data_point;
@@ -59,6 +59,7 @@ create table if not exists model_definition (
     accuracy real default 0,
     target_accuracy integer not null,
     epoch integer default 0,
+    -- TODO add max epoch
     -- 1: Pre Init
     -- 2: Init
     -- 3: Training
@@ -77,7 +78,7 @@ create table if not exists model_definition_layer (
     -- 1: input
     -- 2: dense
     -- 3: flatten
-    -- 4: block
+    -- TODO add conv
     layer_type integer not null,
     -- ei 28,28,1
     -- a 28x28 grayscale image
@@ -101,6 +102,7 @@ create table if not exists exp_model_head (
 
     accuracy real default 0,
 
+    -- TODO add max epoch
     -- 1: Pre Init
     -- 2: Init
     -- 3: Training

sql/tasks.sql

@@ -38,14 +38,3 @@ create table if not exists tasks_dependencies (
     main_id uuid references tasks (id) on delete cascade not null,
     dependent_id uuid references tasks (id) on delete cascade not null
 );
-
-create table if not exists remote_runner (
-	id uuid primary key default gen_random_uuid(),
-	user_id uuid references users (id) on delete cascade not null,
-	token text not null,
-
-	-- 1: GPU
-	type integer,
-
-	created_on timestamp default current_timestamp
-);

test.go

@@ -0,0 +1,120 @@
+package main
+
+import (
+	"git.andr3h3nriqu3s.com/andr3/gotch"
+
+	dbtypes "git.andr3h3nriqu3s.com/andr3/fyp/logic/db_types"
+	"git.andr3h3nriqu3s.com/andr3/fyp/logic/models/train/torch"
+
+	//my_nn "git.andr3h3nriqu3s.com/andr3/fyp/logic/models/train/torch/nn"
+
+	torch "git.andr3h3nriqu3s.com/andr3/gotch/ts"
+	"github.com/charmbracelet/log"
+)
+
+func main() {
+
+	log.Info("Hello world")
+
+	m := train.BuildModel([]*dbtypes.Layer{
+		&dbtypes.Layer{
+			LayerType: dbtypes.LAYER_INPUT,
+			Shape:     "[ 3, 28, 28 ]",
+		},
+		&dbtypes.Layer{
+			LayerType: dbtypes.LAYER_FLATTEN,
+		},
+		&dbtypes.Layer{
+			LayerType: dbtypes.LAYER_DENSE,
+			Shape:     "[ 27 ]",
+		},
+		&dbtypes.Layer{
+			LayerType: dbtypes.LAYER_DENSE,
+			Shape:     "[ 18 ]",
+		},
+		//		&dbtypes.Layer{
+		//			LayerType: dbtypes.LAYER_DENSE,
+		//			Shape:     "[ 9 ]",
+		//		},
+	}, 0, true)
+
+	//var err error
+
+	d := gotch.CudaIfAvailable()
+
+	log.Info("device", "d", d)
+
+	m.To(d)
+
+	var count = 0
+
+//	vars1 := m.Vs.Variables()
+//
+//    for k, v := range vars1 {
+//        ones := torch.MustOnes(v.MustSize(), gotch.Float, d)
+//        v := ones.MustSetRequiresGrad(true, false)
+//        v.MustDrop()
+//        ones.RetainGrad(false)
+//
+//        m.Vs.UpdateVarTensor(k, ones, true)
+//        m.Refresh()
+//    }
+//
+//	opt, err := my_nn.DefaultAdamConfig().Build(m.Vs, 0.001)
+//	if err != nil {
+//		return
+//	}
+
+    log.Info("start")
+
+	for count < 100 {
+
+		ones := torch.MustOnes([]int64{1, 3, 28, 28}, gotch.Float, d)
+		// ones = ones.MustSetRequiresGrad(true, true)
+		// ones.RetainGrad(false)
+
+		res := m.ForwardT(ones, true)
+		//res = res.MustSetRequiresGrad(true, true)
+		//res.RetainGrad(false)
+
+		outs := torch.MustZeros([]int64{1, 18}, gotch.Float, d)
+
+		loss, err := res.BinaryCrossEntropyWithLogits(outs, &torch.Tensor{}, &torch.Tensor{}, 2, false)
+		if err != nil {
+			log.Fatal(err)
+		}
+	//	loss = loss.MustSetRequiresGrad(true, true)
+
+		//opt.ZeroGrad()
+
+		log.Info("loss", "loss", loss.Float64Values())
+
+		loss.MustBackward()
+
+		//opt.Step()
+
+		// log.Info(mean.MustGrad(false).Float64Values())
+		//ones_grad = ones.MustGrad(true).MustMax(true).Float64Values()[0]
+	//	log.Info(res.MustGrad(true).MustMax(true).Float64Values())
+
+//		log.Info(ones_grad)
+
+		vars := m.Vs.Variables()
+
+		for k, v := range vars {
+			log.Info("[grad check]", "k", k, "grad", v.MustGrad(false).MustMax(true).Float64Values())
+		}
+
+		m.Debug()
+
+		outs.MustDrop()
+
+		count += 1
+
+		log.Fatal("grad zero")
+
+	}
+
+	log.Warn("out")
+
+}

views/py/python_model_template.py

@@ -9,9 +9,9 @@ import requests
 class NotifyServerCallback(tf.keras.callbacks.Callback):
     def on_epoch_end(self, epoch, log, *args, **kwargs):
         {{ if .HeadId }}
-        requests.get(f'{{ .Host }}/api/model/head/epoch/update?epoch={epoch + 1}&accuracy={log["val_accuracy"]}&head_id={{.HeadId}}')
+        requests.get(f'{{ .Host }}/api/model/head/epoch/update?epoch={epoch + 1}&accuracy={log["accuracy"]}&head_id={{.HeadId}}')
         {{ else }}
-        requests.get(f'{{ .Host }}/api/model/epoch/update?model_id={{.Model.Id}}&epoch={epoch + 1}&accuracy={log["val_accuracy"]}&definition={{.DefId}}')
+        requests.get(f'{{ .Host }}/api/model/epoch/update?model_id={{.Model.Id}}&epoch={epoch + 1}&accuracy={log["accuracy"]}&definition={{.DefId}}')
         {{end}}
 
 
@@ -135,23 +135,14 @@ def addBlock(
         model.add(layers.ReLU())
     if top:
         if pooling_same:
-            model.add(pool_func(pool_size=(2,2), padding="same", strides=(1, 1)))
+            model.add(pool_func(padding="same", strides=(1, 1)))
         else:
-            model.add(pool_func(pool_size=(2,2)))
+            model.add(pool_func())
         model.add(layers.BatchNormalization())
         model.add(layers.LeakyReLU())
         model.add(layers.Dropout(0.4))
     return model
 
-def resblock(x, kernelsize = 3, filters = 128):
-    fx = layers.Conv2D(filters, kernelsize, activation='relu', padding='same')(x)
-    fx = layers.BatchNormalization()(fx)
-    fx = layers.Conv2D(filters, kernelsize, padding='same')(fx)
-    out = layers.Add()([x,fx])
-    out = layers.ReLU()(out)
-    out = layers.BatchNormalization()(out)
-    return out
-
 
 {{ if .LoadPrev }}
 model = tf.keras.saving.load_model('{{.LastModelRunPath}}')
@@ -181,7 +172,7 @@ model.compile(
 
 his = model.fit(dataset, validation_data= dataset_validation, epochs={{.EPOCH_PER_RUN}}, callbacks=[
                 NotifyServerCallback(),
-                tf.keras.callbacks.EarlyStopping("loss", mode="min", patience=5)])
+                tf.keras.callbacks.EarlyStopping("loss", mode="min", patience=5)], use_multiprocessing = True)
 
 acc = his.history["accuracy"]
 

views/py/python_model_template_expand.py

@@ -10,7 +10,7 @@ import numpy as np
 
 class NotifyServerCallback(tf.keras.callbacks.Callback):
     def on_epoch_end(self, epoch, log, *args, **kwargs):
-        requests.get(f'{{ .Host }}/api/model/head/epoch/update?epoch={epoch + 1}&accuracy={log["val_accuracy"]}&head_id={{.HeadId}}')
+        requests.get(f'{{ .Host }}/api/model/head/epoch/update?epoch={epoch + 1}&accuracy={log["accuracy"]}&head_id={{.HeadId}}')
 
 
 DATA_DIR = "{{ .DataDir }}"

webpage/.dockerignore

@@ -1 +0,0 @@
-.gitignore

webpage/.eslintrc.cjs

@@ -27,11 +27,5 @@ module.exports = {
 				parser: '@typescript-eslint/parser'
 			}
 		}
-	],
+	]
-	rules: {
-		'svelte/no-at-html-tags': 'off',
-
-		// TODO remove this
-		'@typescript-eslint/no-explicit-any': 'off'
-	}
 };

webpage/Dockerfile

@@ -1,9 +0,0 @@
-FROM docker.io/node:22
-
-ADD . .
-
-RUN npm install
-
-RUN npm run build
-
-CMD ["npm", "run", "preview"]

webpage/package.json

@@ -6,7 +6,7 @@
     "dev:raw": "vite dev",
     "dev": "vite dev --port 5001 --host",
     "build": "vite build",
-		"preview": "vite preview --port 5001 --host",
+    "preview": "vite preview",
     "check": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json",
     "check:watch": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json --watch",
     "lint": "prettier --check . && eslint .",
@@ -15,8 +15,7 @@
   "devDependencies": {
     "@sveltejs/adapter-auto": "^3.2.0",
     "@sveltejs/kit": "^2.5.6",
-		"@sveltejs/vite-plugin-svelte": "^3.0.0",
+    "@sveltejs/vite-plugin-svelte": "3.0.0",
-		"@types/d3": "^7.4.3",
     "@types/eslint": "^8.56.9",
     "@typescript-eslint/eslint-plugin": "^7.7.0",
     "@typescript-eslint/parser": "^7.7.0",
@@ -26,7 +25,7 @@
     "prettier": "^3.2.5",
     "prettier-plugin-svelte": "^3.2.3",
     "sass": "^1.75.0",
-		"svelte": "^5.0.0-next.104",
+    "svelte": "5.0.0-next.104",
     "svelte-check": "^3.6.9",
     "tslib": "^2.6.2",
     "typescript": "^5.4.5",
@@ -34,8 +33,6 @@
   },
   "type": "module",
   "dependencies": {
-		"chart.js": "^4.4.2",
+    "chart.js": "^4.4.2"
-		"d3": "^7.9.0",
-		"highlight.js": "^11.9.0"
   }
 }

webpage/src/NavBar.svelte

@@ -15,18 +15,8 @@
 		{/if}
 		<li class="expand"></li>
 		{#if userStore.user}
-			{#if userStore.user.user_type == 2}
-				<li>
-					<a href="/admin/runners">
-						<span class="bi bi-cpu-fill"></span>
-						Runner
-					</a>
-				</li>
-			{/if}
 			<li>
 				<a href="/user/info"> <span class="bi bi-person-fill"></span> {userStore.user.username} </a>
-			</li>
-			<li>
 				<a href="/logout"> <span class="bi bi-box-arrow-right"></span> Logout </a>
 			</li>
 		{:else}

webpage/src/app.html

@@ -9,8 +9,6 @@
 		<link rel="preconnect" href="https://fonts.googleapis.com" />
 		<link rel="preconnect" href="https://fonts.googleapis.com" />
 		<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
-		<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.9.0/styles/github.min.css">
-		<link href="https://fonts.googleapis.com/css2?family=Andada+Pro:ital,wght@0,400..840;1,400..840&family=Bebas+Neue&family=Fira+Code:wght@300..700&display=swap" rel="stylesheet">
 		<link
 			href="https://fonts.googleapis.com/css2?family=Andada+Pro:ital,wght@0,400..840;1,400..840&family=Bebas+Neue&display=swap"
 			rel="stylesheet"

webpage/src/lib/FileUpload.svelte

@@ -36,7 +36,7 @@
 		class="icon"
 		class:adapt={replace_slot && file && !notExpand}
 		type="button"
-		onclick={() => fileInput.click()}
+		on:click={() => fileInput.click()}
 	>
 		{#if replace_slot && file}
 			<slot name="replaced" {file}>
@@ -54,6 +54,6 @@
 		required
 		{accept}
 		bind:this={fileInput}
-		onchange={onChange}
+		on:change={onChange}
 	/>
 </div>

webpage/src/lib/MessageSimple.svelte

@@ -0,0 +1,57 @@
+<script context="module" lang="ts">
+	export type DisplayFn = (
+		msg: string,
+		options?: {
+			type?: 'error' | 'success';
+			timeToShow?: number;
+		}
+	) => void;
+</script>
+
+<script lang="ts">
+	let message = $state<string | undefined>(undefined);
+	let type = $state<'error' | 'success'>('error');
+
+	let timeout: number | undefined = undefined;
+
+	export function clear() {
+		if (timeout) clearTimeout(timeout);
+		message = undefined;
+	}
+
+	export function display(
+		msg: string,
+		options?: {
+			type?: 'error' | 'success';
+			timeToShow?: number;
+		}
+	) {
+		if (timeout) clearTimeout(timeout);
+
+		if (!msg) {
+			message = undefined;
+			return;
+		}
+
+		let { type: l_type, timeToShow } = options ?? { type: 'error', timeToShow: undefined };
+
+		if (l_type) {
+			type = l_type;
+		}
+
+		message = msg;
+
+		if (timeToShow) {
+			timeout = setTimeout(() => {
+				message = undefined;
+				timeout = undefined;
+			}, timeToShow);
+		}
+	}
+</script>
+
+{#if message}
+	<div class="form-msg {type}">
+		{message}
+	</div>
+{/if}

webpage/src/lib/Tooltip.svelte

@@ -1,5 +1,5 @@
 <script lang="ts">
-	let { title }: { title: string } = $props();
+	let { title } = $props<{ title: string }>();
 
 	let isHovered = $state(false);
 	let x = $state(0);
@@ -30,10 +30,10 @@
 
 <div
 	bind:this={div}
-	onmouseover={mouseOver}
+	on:mouseover={mouseOver}
-	onmouseleave={mouseLeave}
+	on:mouseleave={mouseLeave}
-	onmousemove={mouseMove}
+	on:mousemove={mouseMove}
-	onfocus={focus}
+	on:focus={focus}
 	role="tooltip"
 	class="tooltipContainer"
 >

webpage/src/lib/utils.ts

@@ -1,6 +0,0 @@
-export function preventDefault(fn: any) {
-	return function (event: Event) {
-		event.preventDefault();
-		fn.call(this, event);
-	};
-}

webpage/src/routes/UserStore.svelte.ts

@@ -1,7 +1,6 @@
 import { goto } from '$app/navigation';
-import { rdelete } from '$lib/requests.svelte';
 
-export type User = {
+type User = {
 	token: string;
 	id: string;
 	user_type: number;
@@ -34,10 +33,6 @@ export function createUserStore() {
 			if (value) {
 				localStorage.setItem('user', JSON.stringify(value));
 			} else {
-				if (user) {
-					// Request the deletion of the token
-					rdelete('/user/token/logoff', {});
-				}
 				localStorage.removeItem('user');
 			}
 			user = value;

webpage/src/routes/admin/runners/+page.svelte

@@ -1,350 +0,0 @@
-<script lang="ts">
-	import { goto } from '$app/navigation';
-	import { notificationStore } from 'src/lib/NotificationsStore.svelte';
-	import { post, showMessage } from 'src/lib/requests.svelte';
-	import { userStore } from 'src/routes/UserStore.svelte';
-	import { onMount } from 'svelte';
-	import * as d3 from 'd3';
-
-	import type { Base } from './types';
-	import CardInfo from './CardInfo.svelte';
-
-	let width = $state(0);
-	let height = $state(0);
-
-	function drag(simulation: d3.Simulation<d3.HierarchyNode<Base>, undefined>) {
-		function dragstarted(event: any, d: any) {
-			if (!event.active) simulation.alphaTarget(0.3).restart();
-			d.fx = d.x;
-			d.fy = d.y;
-			selected = d.data;
-		}
-
-		function dragged(event: any, d: any) {
-			d.fx = event.x;
-			d.fy = event.y;
-		}
-
-		function dragended(event: any, d: any) {
-			if (!event.active) simulation.alphaTarget(0);
-			d.fx = null;
-			d.fy = null;
-		}
-
-		return d3.drag().on('start', dragstarted).on('drag', dragged).on('end', dragended);
-	}
-
-	let graph: HTMLDivElement;
-
-	let selected: Base | undefined = $state();
-
-	async function getData() {
-		const dataObj: Base = {
-			name: 'API',
-			type: 'api',
-			children: []
-		};
-
-		if (!dataObj.children) throw new Error();
-
-		const localRunners: Base[] = [];
-		const remotePairs: Record<string, Base[]> = {};
-
-		try {
-			let data = await post('tasks/runner/info', {});
-
-			if (Object.keys(data.localRunners).length > 0) {
-				for (const objId of Object.keys(data.localRunners)) {
-					localRunners.push({ name: objId, type: 'local_runner', task: data.localRunners[objId] });
-				}
-
-				dataObj.children.push({
-					name: 'local runners',
-					type: 'runner_group',
-					children: localRunners
-				});
-			}
-
-			if (Object.keys(data.remoteRunners).length > 0) {
-				for (const objId of Object.keys(data.remoteRunners)) {
-					let obj = data.remoteRunners[objId];
-					if (remotePairs[obj.runner_info.user_id as string]) {
-						remotePairs[obj.runner_info.user_id as string].push({
-							name: objId,
-							type: 'runner',
-							task: obj.task,
-							parent: data.remoteRunners[objId].runner_info.user_id
-						});
-					} else {
-						remotePairs[data.remoteRunners[objId].runner_info.user_id] = [
-							{
-								name: objId,
-								type: 'runner',
-								task: obj.task,
-								parent: data.remoteRunners[objId].runner_info.user_id
-							}
-						];
-					}
-				}
-			}
-
-			dataObj.children.push({
-				name: 'remote runners',
-				type: 'runner_group',
-				task: undefined,
-				children: Object.keys(remotePairs).map(
-					(name) =>
-						({
-							name,
-							type: 'user_group',
-							task: undefined,
-							children: remotePairs[name]
-						}) as Base
-				)
-			});
-		} catch (ex) {
-			showMessage(ex, notificationStore, 'Failed to get Runner information');
-			return;
-		}
-
-		const root = d3.hierarchy(dataObj);
-		const links = root.links();
-		const nodes = root.descendants();
-		console.log(root, links, nodes);
-
-		const simulation = d3
-			.forceSimulation(nodes)
-			.force(
-				'link',
-				d3
-					.forceLink(links)
-					.id((d: any) => d.id)
-					.distance((d: any) => {
-						let data = d.source.data as Base;
-						switch (data.type) {
-							case 'api':
-								return 150;
-							case 'runner_group':
-								return 90;
-							case 'user_group':
-								return 80;
-							case 'runner':
-							case 'local_runner':
-								return 20;
-							default:
-								throw new Error();
-						}
-					})
-					.strength(1)
-			)
-			.force('charge', d3.forceManyBody().strength(-1000))
-			.force('x', d3.forceX())
-			.force('y', d3.forceY());
-
-		const svg = d3
-			.create('svg')
-			.attr('width', width)
-			.attr('height', height - 62)
-			.attr('viewBox', [-width / 2, -height / 2, width, height])
-			.attr('style', 'max-width: 100%; height: auto;');
-		// Append links.
-		const link = svg
-			.append('g')
-			.attr('stroke', '#999')
-			.attr('stroke-opacity', 0.6)
-			.selectAll('line')
-			.data(links)
-			.join('line');
-
-		const database_svg = `
-			<svg xmlns="http://www.w3.org/2000/svg" stroke-width="0.2" width="32" height="32" fill="currentColor" class="bi bi-database" viewBox="0 0 32 32">
-			  <path transform="scale(2)" d="M4.318 2.687C5.234 2.271 6.536 2 8 2s2.766.27 3.682.687C12.644 3.125 13 3.627 13 4c0 .374-.356.875-1.318 1.313C10.766 5.729 9.464 6 8 6s-2.766-.27-3.682-.687C3.356 4.875 3 4.373 3 4c0-.374.356-.875 1.318-1.313M13 5.698V7c0 .374-.356.875-1.318 1.313C10.766 8.729 9.464 9 8 9s-2.766-.27-3.682-.687C3.356 7.875 3 7.373 3 7V5.698c.271.202.58.378.904.525C4.978 6.711 6.427 7 8 7s3.022-.289 4.096-.777A5 5 0 0 0 13 5.698M14 4c0-1.007-.875-1.755-1.904-2.223C11.022 1.289 9.573 1 8 1s-3.022.289-4.096.777C2.875 2.245 2 2.993 2 4v9c0 1.007.875 1.755 1.904 2.223C4.978 15.71 6.427 16 8 16s3.022-.289 4.096-.777C13.125 14.755 14 14.007 14 13zm-1 4.698V10c0 .374-.356.875-1.318 1.313C10.766 11.729 9.464 12 8 12s-2.766-.27-3.682-.687C3.356 10.875 3 10.373 3 10V8.698c.271.202.58.378.904.525C4.978 9.71 6.427 10 8 10s3.022-.289 4.096-.777A5 5 0 0 0 13 8.698m0 3V13c0 .374-.356.875-1.318 1.313C10.766 14.729 9.464 15 8 15s-2.766-.27-3.682-.687C3.356 13.875 3 13.373 3 13v-1.302c.271.202.58.378.904.525C4.978 12.71 6.427 13 8 13s3.022-.289 4.096-.777c.324-.147.633-.323.904-.525"/>
-			</svg>
-		`;
-
-		const cpu_svg = `
-			<svg stroke="white" fill="white" xmlns="http://www.w3.org/2000/svg" stroke-width="0.2" width="32" height="32" fill="currentColor" class="bi bi-cpu-fill" viewBox="0 0 32 32">
-				<path transform="scale(2)" d="M6.5 6a.5.5 0 0 0-.5.5v3a.5.5 0 0 0 .5.5h3a.5.5 0 0 0 .5-.5v-3a.5.5 0 0 0-.5-.5z"/>
-				<path transform="scale(2)" d="M5.5.5a.5.5 0 0 0-1 0V2A2.5 2.5 0 0 0 2 4.5H.5a.5.5 0 0 0 0 1H2v1H.5a.5.5 0 0 0 0 1H2v1H.5a.5.5 0 0 0 0 1H2v1H.5a.5.5 0 0 0 0 1H2A2.5 2.5 0 0 0 4.5 14v1.5a.5.5 0 0 0 1 0V14h1v1.5a.5.5 0 0 0 1 0V14h1v1.5a.5.5 0 0 0 1 0V14h1v1.5a.5.5 0 0 0 1 0V14a2.5 2.5 0 0 0 2.5-2.5h1.5a.5.5 0 0 0 0-1H14v-1h1.5a.5.5 0 0 0 0-1H14v-1h1.5a.5.5 0 0 0 0-1H14v-1h1.5a.5.5 0 0 0 0-1H14A2.5 2.5 0 0 0 11.5 2V.5a.5.5 0 0 0-1 0V2h-1V.5a.5.5 0 0 0-1 0V2h-1V.5a.5.5 0 0 0-1 0V2h-1zm1 4.5h3A1.5 1.5 0 0 1 11 6.5v3A1.5 1.5 0 0 1 9.5 11h-3A1.5 1.5 0 0 1 5 9.5v-3A1.5 1.5 0 0 1 6.5 5"/>
-			</svg>
-		`;
-
-		const user_svg = `
-			<svg fill="white" stroke="white" xmlns="http://www.w3.org/2000/svg" stroke-width="0.2" width="32" height="32" fill="currentColor" class="bi bi-person-fill" viewBox="0 0 32 32">
-			  <path transform="scale(2)" d="M3 14s-1 0-1-1 1-4 6-4 6 3 6 4-1 1-1 1zm5-6a3 3 0 1 0 0-6 3 3 0 0 0 0 6"/>
-			</svg>
-		`;
-
-		const inbox_fill = `
-			<svg fill="white" stroke="white" xmlns="http://www.w3.org/2000/svg" stroke-width="0.2" width="32" height="32" fill="currentColor" class="bi bi-inbox-fill" viewBox="0 0 32 32">
-	  			<path transform="scale(2)" d="M4.98 4a.5.5 0 0 0-.39.188L1.54 8H6a.5.5 0 0 1 .5.5 1.5 1.5 0 1 0 3 0A.5.5 0 0 1 10 8h4.46l-3.05-3.812A.5.5 0 0 0 11.02 4zm-1.17-.437A1.5 1.5 0 0 1 4.98 3h6.04a1.5 1.5 0 0 1 1.17.563l3.7 4.625a.5.5 0 0 1 .106.374l-.39 3.124A1.5 1.5 0 0 1 14.117 13H1.883a1.5 1.5 0 0 1-1.489-1.314l-.39-3.124a.5.5 0 0 1 .106-.374z"/>
-			</svg>
-		`;
-
-		const node = svg
-			.append('g')
-			.attr('fill', '#fff')
-			.attr('stroke', '#000')
-			.attr('stroke-width', 1.5)
-			.selectAll('g')
-			.data(nodes)
-			.join('g')
-			.attr('style', 'cursor: pointer;')
-			.call(drag(simulation) as any)
-			.on('click', (e) => {
-				console.log('test');
-				function findData(obj: HTMLElement) {
-					if ((obj as any).__data__) {
-						return (obj as any).__data__;
-					}
-					if (!obj.parentElement) {
-						throw new Error();
-					}
-					return findData(obj.parentElement);
-				}
-				let obj = findData(e.srcElement);
-				console.log(obj);
-				selected = obj.data;
-			});
-
-		node
-			.append('circle')
-			.attr('fill', (d: any) => {
-				let data = d.data as Base;
-				switch (data.type) {
-					case 'api':
-						return '#caf0f8';
-					case 'runner_group':
-						return '#00b4d8';
-					case 'user_group':
-						return '#0000ff';
-					case 'runner':
-					case 'local_runner':
-						return '#03045e';
-					default:
-						throw new Error();
-				}
-			})
-			.attr('stroke', (d: any) => {
-				let data = d.data as Base;
-				switch (data.type) {
-					case 'api':
-					case 'user_group':
-					case 'runner_group':
-						return '#fff';
-					case 'runner':
-					case 'local_runner':
-						// TODO make this relient on the stauts
-						return '#000';
-					default:
-						throw new Error();
-				}
-			})
-			.attr('r', (d: any) => {
-				let data = d.data as Base;
-				switch (data.type) {
-					case 'api':
-						return 30;
-					case 'runner_group':
-						return 20;
-					case 'user_group':
-						return 25;
-					case 'runner':
-					case 'local_runner':
-						return 30;
-					default:
-						throw new Error();
-				}
-			})
-			.append('title')
-			.text((d: any) => d.data.name);
-
-		node
-			.filter((d) => {
-				return ['api', 'local_runner', 'runner', 'user_group', 'runner_group'].includes(
-					d.data.type
-				);
-			})
-			.append('g')
-			.html((d) => {
-				switch (d.data.type) {
-					case 'api':
-						return database_svg;
-					case 'user_group':
-						return user_svg;
-					case 'runner_group':
-						return inbox_fill;
-					case 'local_runner':
-					case 'runner':
-						return cpu_svg;
-					default:
-						throw new Error();
-				}
-			});
-
-		simulation.on('tick', () => {
-			link
-				.attr('x1', (d: any) => d.source.x)
-				.attr('y1', (d: any) => d.source.y)
-				.attr('x2', (d: any) => d.target.x)
-				.attr('y2', (d: any) => d.target.y);
-
-			node
-				.select('circle')
-				.attr('cx', (d: any) => d.x)
-				.attr('cy', (d: any) => d.y);
-			node
-				.select('svg')
-				.attr('x', (d: any) => d.x - 16)
-				.attr('y', (d: any) => d.y - 16);
-		});
-
-		//invalidation.then(() => simulation.stop());
-
-		graph.appendChild(svg.node() as any);
-	}
-
-	$effect(() => {
-		console.log(selected);
-	});
-
-	onMount(() => {
-		// Check if logged in and admin
-		if (!userStore.user || userStore.user.user_type != 2) {
-			goto('/');
-			return;
-		}
-		getData();
-	});
-</script>
-
-<svelte:window bind:innerWidth={width} bind:innerHeight={height} />
-<svelte:head>
-	<title>Runners</title>
-</svelte:head>
-
-<div class="graph-container">
-	<div class="graph" bind:this={graph}></div>
-	{#if selected}
-		<div class="selected">
-			<CardInfo item={selected} />
-		</div>
-	{/if}
-</div>
-
-<style lang="css">
-	.graph-container {
-		position: relative;
-		.selected {
-			position: absolute;
-			right: 40px;
-			top: 40px;
-			width: 20%;
-			height: auto;
-			padding: 20px;
-			background: white;
-			border-radius: 20px;
-			box-shadow: 1px 1px 8px 2px #22222244;
-		}
-	}
-</style>

webpage/src/routes/admin/runners/CardInfo.svelte

@@ -1,90 +0,0 @@
-<script lang="ts">
-	import { post, showMessage } from 'src/lib/requests.svelte';
-	import type { Base } from './types';
-	import { notificationStore } from 'src/lib/NotificationsStore.svelte';
-	import type { User } from 'src/routes/UserStore.svelte';
-	import Spinner from 'src/lib/Spinner.svelte';
-	import Tooltip from 'src/lib/Tooltip.svelte';
-
-	let { item }: { item: Base } = $props();
-
-	let user_data: User | undefined = $state();
-
-	async function getUserData(id: string) {
-		try {
-			user_data = await post('user/info/get', { id });
-			console.log(user_data);
-		} catch (ex) {
-			showMessage(ex, notificationStore, 'Could not get user information');
-		}
-	}
-
-	$effect(() => {
-		user_data = undefined;
-		if (item.type == 'user_group') {
-			getUserData(item.name);
-		} else if (item.type == 'runner') {
-			getUserData(item.parent ?? '');
-		}
-	});
-</script>
-
-{#if item.type == 'api'}
-	<h3>API</h3>
-{:else if item.type == 'runner_group'}
-	<h3>Runner Group</h3>
-	This reprents a the group of {item.name}.
-{:else if item.type == 'user_group'}
-	<h3>User</h3>
-	{#if user_data}
-		All Runners connected to this node bellong to <span class="accent">{user_data.username}</span>
-	{:else}
-		<div style="text-align: center;">
-			<Spinner />
-		</div>
-	{/if}
-{:else if item.type == 'local_runner'}
-	<h3>Local Runner</h3>
-	This is a local runner
-	<div>
-		{#if item.task}
-			This runner is runing a <Tooltip title={item.task.id}>task</Tooltip>
-		{:else}
-			Not running any task
-		{/if}
-	</div>
-{:else if item.type == 'runner'}
-	<h3>Runner</h3>
-	{#if user_data}
-		<p>
-			This is a remote runner. This runner is owned by<span class="accent"
-				>{user_data?.username}</span
-			>
-		</p>
-		<div>
-			{#if item.task}
-				This runner is runing a <Tooltip title={item.task.id}>task</Tooltip>
-			{:else}
-				Not running any task
-			{/if}
-		</div>
-	{:else}
-		<div style="text-align: center;">
-			<Spinner />
-		</div>
-	{/if}
-{:else}
-	{item.type}
-{/if}
-
-<style lang="scss">
-	h3 {
-		text-align: center;
-		margin: 0;
-	}
-	.accent {
-		background: #22222222;
-		padding: 1px;
-		border-radius: 5px;
-	}
-</style>

webpage/src/routes/admin/runners/types.ts

@@ -1,10 +0,0 @@
-import type { Task } from 'src/routes/models/edit/tasks/types';
-
-export type BaseType = 'api' | 'runner_group' | 'user_group' | 'runner' | 'local_runner';
-export type Base = {
-	name: string;
-	type: BaseType;
-	children?: Base[];
-	task?: Task;
-	parent?: string;
-};

webpage/src/routes/login/+page.svelte

@@ -3,7 +3,6 @@
 	import 'src/styles/forms.css';
 	import { userStore } from '../UserStore.svelte';
 	import { goto } from '$app/navigation';
-	import { preventDefault } from 'src/lib/utils';
 
 	let submitted = $state(false);
 
@@ -40,7 +39,7 @@
 <div class="login-page">
 	<div>
 		<h1>Login</h1>
-		<form onsubmit={preventDefault(onSubmit)} class:submitted>
+		<form on:submit|preventDefault={onSubmit} class:submitted>
 			<fieldset>
 				<label for="email">Email</label>
 				<input type="email" required name="email" bind:value={loginData.email} />

webpage/src/routes/models/+page.svelte

@@ -1,22 +1,26 @@
 <script lang="ts">
+	import MessageSimple from 'src/lib/MessageSimple.svelte';
 	import { onMount } from 'svelte';
-	import { get, showMessage } from '$lib/requests.svelte';
+	import { get } from '$lib/requests.svelte';
-	import { notificationStore } from 'src/lib/NotificationsStore.svelte';
-	import Spinner from 'src/lib/Spinner.svelte';
 
 	let list = $state<
-		| {
+		{
 			name: string;
 			id: string;
 		}[]
-		| undefined
+	>([]);
-	>(undefined);
+
+	let message: MessageSimple;
 
 	onMount(async () => {
 		try {
 			list = await get('models');
 		} catch (e) {
-			showMessage(e, notificationStore, 'Could not request list of models');
+			if (e instanceof Response) {
+				message.display(await e.json());
+			} else {
+				message.display('Could not request list of models');
+			}
 		}
 	});
 </script>
@@ -26,7 +30,7 @@
 </svelte:head>
 
 <main>
-	{#if list}
+	<MessageSimple bind:this={message} />
 	{#if list.length > 0}
 		<div class="list-header">
 			<h2>My Models</h2>
@@ -61,11 +65,6 @@
 			<a class="button padded" href="/models/add"> Create a new model </a>
 		</div>
 	{/if}
-	{:else}
-		<div style="text-align: center;">
-			<Spinner />
-		</div>
-	{/if}
 </main>
 
 <style lang="scss">
@@ -85,4 +84,11 @@
 	.list-header .expand {
 		flex-grow: 1;
 	}
+
+	.list-header .button,
+	.list-header button {
+		padding: 10px 10px;
+		height: calc(100% - 20px);
+		margin-top: 5px;
+	}
 </style>

webpage/src/routes/models/add/+page.svelte

@@ -1,14 +1,15 @@
 <script lang="ts">
 	import FileUpload from 'src/lib/FileUpload.svelte';
-	import { postFormData, showMessage } from 'src/lib/requests.svelte';
+	import MessageSimple from 'src/lib/MessageSimple.svelte';
+	import { postFormData } from 'src/lib/requests.svelte';
 	import { goto } from '$app/navigation';
-	import { notificationStore } from 'src/lib/NotificationsStore.svelte';
 
 	import 'src/styles/forms.css';
-	import { preventDefault } from 'src/lib/utils';
 
 	let submitted = $state(false);
 
+	let message: MessageSimple;
+
 	let buttonClicked: Promise<void> = $state(Promise.resolve());
 
 	let data = $state<{
@@ -20,6 +21,7 @@
 	});
 
 	async function onSubmit() {
+		message.display('');
 		buttonClicked = new Promise<void>(() => {});
 
 		if (!data.file || !data.name) return;
@@ -32,7 +34,11 @@
 			let id = await postFormData('models/add', formData);
 			goto(`/models/edit?id=${id}`);
 		} catch (e) {
-			showMessage(e, notificationStore, 'Was not able to create model');
+			if (e instanceof Response) {
+				message.display(await e.json());
+			} else {
+				message.display('Was not able to create model');
+			}
 		}
 
 		buttonClicked = Promise.resolve();
@@ -45,7 +51,7 @@
 
 <main>
 	<h1>Create new Model</h1>
-	<form class:submitted onsubmit={preventDefault(onSubmit)}>
+	<form class:submitted on:submit|preventDefault={onSubmit}>
 		<fieldset>
 			<label for="name">Name</label>
 			<input id="name" name="name" required bind:value={data.name} />
@@ -69,6 +75,7 @@
 				</div>
 			</FileUpload>
 		</fieldset>
+		<MessageSimple bind:this={message} />
 		{#await buttonClicked}
 			<div class="text-center">File Uploading</div>
 		{:then}

webpage/src/routes/models/edit/+page.svelte

@@ -30,19 +30,18 @@
 	import BaseModelInfo from './BaseModelInfo.svelte';
 	import DeleteModel from './DeleteModel.svelte';
 	import { goto } from '$app/navigation';
-	import { get, rdelete, showMessage } from 'src/lib/requests.svelte';
+	import { get, rdelete } from 'src/lib/requests.svelte';
-	import { preventDefault } from 'src/lib/utils';
+	import MessageSimple from '$lib/MessageSimple.svelte';
 
 	import ModelData from './ModelData.svelte';
 	import DeleteZip from './DeleteZip.svelte';
 	import RunModel from './RunModel.svelte';
+
 	import Tabs from 'src/lib/Tabs.svelte';
 	import TasksDataPage from './TasksDataPage.svelte';
 	import ModelDataPage from './ModelDataPage.svelte';
 
 	import 'src/styles/forms.css';
-	import { notificationStore } from 'src/lib/NotificationsStore.svelte';
-	import Spinner from 'src/lib/Spinner.svelte';
 
 	let model: Promise<Model> = $state(new Promise(() => {}));
 	let _model: Model | undefined = $state(undefined);
@@ -93,7 +92,10 @@
 		getModel();
 	});
 
+	let resetMessages: MessageSimple;
 	async function resetModel() {
+		resetMessages.display('');
+
 		let _model = await model;
 
 		try {
@@ -103,7 +105,11 @@
 
 			getModel();
 		} catch (e) {
-			showMessage(e, notificationStore, 'Could not reset model!');
+			if (e instanceof Response) {
+				resetMessages.display(await e.json());
+			} else {
+				resetMessages.display('Could not reset model!');
+			}
 		}
 	}
 
@@ -141,8 +147,7 @@
 		<div slot="buttons" let:setActive let:isActive>
 			<button
 				class="tab"
-				type="button"
+				on:click|preventDefault={setActive('model')}
-				onclick={setActive('model')}
 				class:selected={isActive('model')}
 			>
 				Model
@@ -150,8 +155,7 @@
 			{#if _model && [2, 3, 4, 5, 6, 7, -6, -7].includes(_model.status)}
 				<button
 					class="tab"
-					type="button"
+					on:click|preventDefault={setActive('model-data')}
-					onclick={setActive('model-data')}
 					class:selected={isActive('model-data')}
 				>
 					Model Data
@@ -160,8 +164,7 @@
 			{#if _model && [5, 6, 7, -6, -7].includes(_model.status)}
 				<button
 					class="tab"
-					type="button"
+					on:click|preventDefault={setActive('tasks')}
-					onclick={setActive('tasks')}
 					class:selected={isActive('tasks')}
 				>
 					Tasks
@@ -169,7 +172,7 @@
 			{/if}
 		</div>
 		{#if _model}
-			<ModelDataPage model={_model} onreload={getModel} active={isActive('model-data')} />
+			<ModelDataPage model={_model} on:reload={getModel} active={isActive('model-data')} />
 			<TasksDataPage model={_model} active={isActive('tasks')} />
 		{/if}
 		<div class="content" class:selected={isActive('model')}>
@@ -189,6 +192,7 @@
 						<h1 class="text-center">
 							{m.name}
 						</h1>
+						<!-- TODO improve message -->
 						<h2 class="text-center">Failed to prepare model</h2>
 
 						<DeleteModel model={m} />
@@ -196,23 +200,25 @@
 					<!-- PRE TRAINING STATUS -->
 				{:else if m.status == 2}
 					<BaseModelInfo model={m} />
-					<ModelData model={m} onreload={getModel} />
+					<ModelData model={m} on:reload={getModel} />
 					<!-- {{ template "train-model-card" . }} -->
 					<DeleteModel model={m} />
 				{:else if m.status == -2}
 					<BaseModelInfo model={m} />
-					<DeleteZip model={m} onreload={getModel} />
+					<DeleteZip model={m} on:reload={getModel} />
 					<DeleteModel model={m} />
 				{:else if m.status == 3}
 					<BaseModelInfo model={m} />
 					<div class="card">
-						Processing zip file... <Spinner />
+						<!-- TODO improve this -->
+						Processing zip file...
 					</div>
 				{:else if m.status == -3 || m.status == -4}
 					<BaseModelInfo model={m} />
-					<form onsubmit={preventDefault(resetModel)}>
+					<form on:submit|preventDefault={resetModel}>
 						Failed Prepare for training.<br />
 						<div class="spacer"></div>
+						<MessageSimple bind:this={resetMessages} />
 						<button class="danger"> Try Again </button>
 					</form>
 					<DeleteModel model={m} />
@@ -331,7 +337,7 @@
 						<div class="card">Model expading... Processing ZIP file</div>
 					{/if}
 					{#if m.status == -6}
-						<DeleteZip model={m} onreload={getModel} expand />
+						<DeleteZip model={m} on:reload={getModel} expand />
 					{/if}
 					{#if m.status == -7}
 						<form>
@@ -340,7 +346,7 @@
 						</form>
 					{/if}
 					{#if m.model_type == 2}
-						<ModelData simple model={m} onreload={getModel} />
+						<ModelData simple model={m} on:reload={getModel} />
 					{/if}
 					<DeleteModel model={m} />
 				{:else}
@@ -377,4 +383,10 @@
 	table tr th:first-child {
 		border-left: none;
 	}
+
+	table tr td button,
+	table tr td .button {
+		padding: 5px 10px;
+		box-shadow: 0 2px 5px 1px #66666655;
+	}
 </style>

webpage/src/routes/models/edit/BaseModelInfo.svelte

@@ -1,6 +1,6 @@
 <script lang="ts">
 	import type { Model } from './+page.svelte';
-	let { model }: { model: Model } = $props();
+	let { model } = $props<{ model: Model }>();
 </script>
 
 <div class="card model-card">

webpage/src/routes/models/edit/DeleteModel.svelte

@@ -1,31 +1,39 @@
 <script lang="ts">
+	import MessageSimple from 'src/lib/MessageSimple.svelte';
 	import type { Model } from './+page.svelte';
-	import { rdelete, showMessage } from '$lib/requests.svelte';
+	import { rdelete } from '$lib/requests.svelte';
 	import { goto } from '$app/navigation';
-	import { notificationStore } from 'src/lib/NotificationsStore.svelte';
 
-	let { model }: { model: Model } = $props();
+	let { model } = $props<{ model: Model }>();
 	let name: string = $state('');
 	let submmited: boolean = $state(false);
 
+	let messageSimple: MessageSimple;
+
 	async function deleteModel() {
 		submmited = true;
+		messageSimple.display('');
 
 		try {
 			await rdelete('models/delete', { id: model.id, name });
 			goto('/models');
 		} catch (e) {
-			showMessage(e, notificationStore, 'Could not delete the model');
+			if (e instanceof Response) {
+				messageSimple.display(await e.json());
+			} else {
+				messageSimple.display('Could not delete the model');
+			}
 		}
 	}
 </script>
 
-<form onsubmit={deleteModel} class:submmited class="danger-bg">
+<form on:submit|preventDefault={deleteModel} class:submmited class="danger-bg">
 	<fieldset>
 		<label for="name">
 			To delete this model please type "{model.name}":
 		</label>
 		<input name="name" id="name" required bind:value={name} />
 	</fieldset>
+	<MessageSimple bind:this={messageSimple} />
 	<button class="danger"> Delete </button>
 </form>

webpage/src/routes/models/edit/DeleteZip.svelte

@@ -1,30 +1,32 @@
 <script lang="ts">
-	import { rdelete, showMessage } from 'src/lib/requests.svelte';
+	import { rdelete } from 'src/lib/requests.svelte';
 	import type { Model } from './+page.svelte';
-	import { notificationStore } from 'src/lib/NotificationsStore.svelte';
+	import MessageSimple from 'src/lib/MessageSimple.svelte';
-	import { preventDefault } from 'src/lib/utils';
+	import { createEventDispatcher } from 'svelte';
 
-	let {
+	let message: MessageSimple;
-		model,
+
-		expand,
+	let { model, expand } = $props<{ model: Model; expand?: boolean }>();
-		onreload = () => {}
+
-	}: {
+	const dispatch = createEventDispatcher<{ reload: void }>();
-		model: Model;
-		expand?: boolean;
-		onreload?: () => void;
-	} = $props();
 
 	async function deleteZip() {
+		message.clear();
+
 		try {
 			await rdelete('models/data/delete-zip-file', { id: model.id });
-			onreload();
+			dispatch('reload');
 		} catch (e) {
-			showMessage(e, notificationStore, 'Could not delete the zip file');
+			if (e instanceof Response) {
+				message.display(await e.json());
+			} else {
+				message.display('Could not delete the zip file');
+			}
 		}
 	}
 </script>
 
-<form onsubmit={preventDefault(deleteZip)}>
+<form on:submit|preventDefault={deleteZip}>
 	{#if expand}
 		Failed to proccess the zip file.<br />
 		Delete file and upload a correct version do add more classes.<br />
@@ -35,5 +37,6 @@
 		<br />
 	{/if}
 	<div class="spacer"></div>
+	<MessageSimple bind:this={message} />
 	<button class="danger"> Delete Zip File </button>
 </form>

webpage/src/routes/models/edit/ModelData.svelte

@@ -1,29 +1,38 @@
+<script lang="ts" context="module">
+	export type Class = {
+		name: string;
+		id: string;
+		status: number;
+	};
+</script>
+
 <script lang="ts">
 	import FileUpload from 'src/lib/FileUpload.svelte';
 	import Tabs from 'src/lib/Tabs.svelte';
 	import type { Model } from './+page.svelte';
-	import type { Class } from './types';
+	import { postFormData, get } from 'src/lib/requests.svelte';
-	import { postFormData, get, showMessage } from 'src/lib/requests.svelte';
+	import MessageSimple from 'src/lib/MessageSimple.svelte';
+	import { createEventDispatcher } from 'svelte';
 	import ModelTable from './ModelTable.svelte';
 	import TrainModel from './TrainModel.svelte';
 	import ZipStructure from './ZipStructure.svelte';
-	import { notificationStore } from 'src/lib/NotificationsStore.svelte';
-	import { preventDefault } from 'src/lib/utils';
 
-	let {
+	let { model, simple } = $props<{ model: Model; simple?: boolean }>();
-		model,
-		simple,
-		onreload = () => {}
-	}: { model: Model; simple?: boolean; onreload?: () => void } = $props();
 
 	let classes: Class[] = $state([]);
 	let has_data: boolean = $state(false);
 
 	let file: File | undefined = $state();
 
+	const dispatch = createEventDispatcher<{
+		reload: void;
+	}>();
+
 	let uploading: Promise<void> = $state(Promise.resolve());
 	let numberOfInvalidImages = $state(0);
 
+	let uploadImage: MessageSimple;
+
 	async function uploadZip() {
 		if (!file) return;
 
@@ -35,9 +44,13 @@
 
 		try {
 			await postFormData('models/data/upload', form);
-			onreload();
+			dispatch('reload');
 		} catch (e) {
-			showMessage(e, notificationStore, 'Could not upload data');
+			if (e instanceof Response) {
+				uploadImage.display(await e.json());
+			} else {
+				uploadImage.display('');
+			}
 		}
 
 		uploading = Promise.resolve();
@@ -54,8 +67,8 @@
 			classes = data.classes;
 			numberOfInvalidImages = data.number_of_invalid_images;
 			has_data = data.has_data;
-		} catch (e) {
+		} catch {
-			showMessage(e, notificationStore, 'Could not get information on classes');
+			return;
 		}
 	}
 </script>
@@ -67,22 +80,22 @@
 			<p>You need to upload data so the model can train.</p>
 			<Tabs active="upload" let:isActive>
 				<div slot="buttons" let:setActive let:isActive>
-					<button class="tab" class:selected={isActive('upload')} onclick={setActive('upload')}>
+					<button class="tab" class:selected={isActive('upload')} on:click={setActive('upload')}>
 						Upload
 					</button>
-					<!--button
+					<button
 						class="tab"
 						class:selected={isActive('create-class')}
-						onclick={setActive('create-class')}
+						on:click={setActive('create-class')}
 					>
 						Create Class
-					</button-->
+					</button>
-					<!--button class="tab" class:selected={isActive('api')} onclick={setActive('api')}>
+					<button class="tab" class:selected={isActive('api')} on:click={setActive('api')}>
 						Api
-					</button-->
+					</button>
 				</div>
 				<div class="content" class:selected={isActive('upload')}>
-					<form onsubmit={preventDefault(uploadZip)}>
+					<form on:submit|preventDefault={uploadZip}>
 						<fieldset class="file-upload">
 							<label for="file">Data file</label>
 							<div class="form-msg">
@@ -102,6 +115,7 @@
 								</div>
 							</FileUpload>
 						</fieldset>
+						<MessageSimple bind:this={uploadImage} />
 						{#if file}
 							{#await uploading}
 								<button disabled> Uploading </button>
@@ -111,10 +125,10 @@
 						{/if}
 					</form>
 				</div>
-				<!--div class="content" class:selected={isActive('create-class')}>
+				<div class="content" class:selected={isActive('create-class')}>
-					<ModelTable {classes} {model} {onreload} />
+					<ModelTable {classes} {model} on:reload={() => dispatch('reload')} />
-				</div-->
+				</div>
-				<!--div class="content" class:selected={isActive('api')}>TODO</div-->
+				<div class="content" class:selected={isActive('api')}>TODO</div>
 			</Tabs>
 			<div class="tabs"></div>
 		{:else}
@@ -122,14 +136,36 @@
 			{#if numberOfInvalidImages > 0}
 				<p class="danger">
 					There are images {numberOfInvalidImages} that were loaded that do not have the correct format.
-					These images will be deleted when the model trains.
+					These images will be delete when the model trains.
 				</p>
 			{/if}
-			<ModelTable {classes} {model} {onreload} />
+			<Tabs active="create-class" let:isActive>
+				<div slot="buttons" let:setActive let:isActive>
+					<button
+						class="tab"
+						class:selected={isActive('create-class')}
+						on:click={setActive('create-class')}
+					>
+						Create Class
+					</button>
+					<button class="tab" class:selected={isActive('api')} on:click={setActive('api')}>
+						Api
+					</button>
+				</div>
+				<div class="content" class:selected={isActive('create-class')}>
+					<ModelTable {classes} {model} on:reload={() => dispatch('reload')} />
+				</div>
+				<div class="content" class:selected={isActive('api')}>TODO</div>
+			</Tabs>
 		{/if}
 	</div>
 {/if}
 
 {#if classes.some((item) => item.status == 1) && ![-6, 6].includes(model.status)}
-	<TrainModel number_of_invalid_images={numberOfInvalidImages} {model} {has_data} {onreload} />
+	<TrainModel
+		number_of_invalid_images={numberOfInvalidImages}
+		{model}
+		{has_data}
+		on:reload={() => dispatch('reload')}
+	/>
 {/if}

webpage/src/routes/models/edit/ModelDataPage.svelte

@@ -1,4 +1,5 @@
 <script lang="ts">
+	import { createEventDispatcher } from 'svelte';
 	import type { Model } from './+page.svelte';
 	import ModelData from './ModelData.svelte';
 	import { post, showMessage } from 'src/lib/requests.svelte';
@@ -6,11 +7,9 @@
 	import type { ModelStats } from './types';
 	import DeleteZip from './DeleteZip.svelte';
 
-	let {
+	let { model, active }: { model: Model; active?: boolean } = $props();
-		model,
+
-		active,
+	const dispatch = createEventDispatcher<{ reload: void }>();
-		onreload = () => {}
-	}: { model: Model; active?: boolean; onreload?: () => void } = $props();
 
 	$effect(() => {
 		if (active) getData();
@@ -35,14 +34,14 @@
 		{/if}
 
 		{#if [-6, -2].includes(model.status)}
-			<DeleteZip {model} {onreload} expand />
+			<DeleteZip {model} on:reload={() => dispatch('reload')} expand />
 		{/if}
 
 		<ModelData
 			{model}
-			onreload={() => {
+			on:reload={() => {
 				getData();
-				onreload();
+				dispatch('reload');
 			}}
 		/>
 	</div>

webpage/src/routes/models/edit/ModelDataPageStatsGraph.svelte

@@ -97,7 +97,7 @@
 	});
 </script>
 
-<div><canvas bind:this={ctx}></canvas></div>
+<div><canvas bind:this={ctx} /></div>
 
 <style lang="scss">
 	canvas {

webpage/src/routes/models/edit/ModelTable.svelte

@@ -1,24 +1,33 @@
+<script lang="ts" context="module">
+	export type Image = {
+		file_path: string;
+		mode: number;
+		status: number;
+		id: string;
+	};
+</script>
+
 <script lang="ts">
 	import Tabs from 'src/lib/Tabs.svelte';
-	import type { Class, Image } from './types';
+	import type { Class } from './ModelData.svelte';
 	import { post, postFormData, rdelete, showMessage } from 'src/lib/requests.svelte';
 	import type { Model } from './+page.svelte';
 	import FileUpload from 'src/lib/FileUpload.svelte';
+	import MessageSimple from 'src/lib/MessageSimple.svelte';
+	import { createEventDispatcher } from 'svelte';
 	import ZipStructure from './ZipStructure.svelte';
-	import { notificationStore } from 'src/lib/NotificationsStore.svelte';
+
-	import { preventDefault } from 'src/lib/utils.js';
+	const dispatch = createEventDispatcher<{ reload: void }>();
-	import CreateNewClass from './api/CreateNewClass.svelte';
 
 	let selected_class: Class | undefined = $state();
 
-	let { classes, model, onreload }: { classes: Class[]; model: Model; onreload?: () => void } =
+	let { classes, model }: { classes: Class[]; model: Model } = $props();
-		$props();
 
 	let createClass: { className: string } = $state({
 		className: ''
 	});
 
-	let page = $state(-1);
+	let page = $state(0);
 	let showNext = $state(false);
 	let image_list = $state<Image[]>([]);
 
@@ -32,10 +41,9 @@
 	});
 
 	async function getList() {
-		if (!selected_class) return;
 		try {
 			let res = await post('models/data/list', {
-				id: selected_class.id,
+				id: selected_class?.id ?? '',
 				page: page
 			});
 			showNext = res.showNext;
@@ -45,20 +53,19 @@
 		}
 	}
 
-	$effect(() => {
-		getList();
-	});
-
 	$effect(() => {
 		if (selected_class) {
 			page = 0;
+			getList();
 		}
 	});
 
 	let file: File | undefined = $state();
+	let uploadImage: MessageSimple;
 	let uploading = $state(Promise.resolve());
 
 	async function uploadZip() {
+		uploadImage.clear();
 		if (!file) return;
 
 		uploading = new Promise(() => {});
@@ -69,14 +76,19 @@
 
 		try {
 			await postFormData('models/data/class/upload', form);
-			if (onreload) onreload();
+			dispatch('reload');
 		} catch (e) {
-			showMessage(e, notificationStore, 'Failed to upload');
+			if (e instanceof Response) {
+				uploadImage.display(await e.json());
+			} else {
+				uploadImage.display('');
+			}
 		}
 
 		uploading = Promise.resolve();
 	}
 
+	let createNewClassMessages: MessageSimple;
 	async function createNewClass() {
 		try {
 			const r = await post('models/data/class/new', {
@@ -88,7 +100,7 @@
 			classes = classes;
 			getList();
 		} catch (e) {
-			showMessage(e, notificationStore);
+			showMessage(e, createNewClassMessages);
 		}
 	}
 
@@ -97,11 +109,12 @@
 			rdelete('models/data/point', { id });
 			getList();
 		} catch (e) {
-			showMessage(e, notificationStore);
+			console.error('TODO notify user', e);
 		}
 	}
 
 	let addFile: File | undefined = $state();
+	let addImageMessages: MessageSimple;
 	let adding = $state(Promise.resolve());
 	let uploadImageDialog: HTMLDialogElement;
 	async function addImage() {
@@ -123,7 +136,7 @@
 			addFile = undefined;
 			getList();
 		} catch (e) {
-			showMessage(e, notificationStore);
+			showMessage(e, addImageMessages);
 		}
 	}
 </script>
@@ -138,30 +151,30 @@
 				{#each classes as item}
 					<button
 						style="width: auto; white-space: nowrap;"
-						onclick={() => setActiveClass(item, setActive)}
+						on:click={() => setActiveClass(item, setActive)}
 						class="tab"
 						class:selected={isActive(item.name)}
 					>
 						{item.name}
 						{#if model.model_type == 2}
 							{#if item.status == 1}
-								<span class="bi bi-book" style="color: orange;"></span>
+								<span class="bi bi-book" style="color: orange;" />
 							{:else if item.status == 2}
-								<span class="bi bi-book" style="color: green;"></span>
+								<span class="bi bi-book" style="color: green;" />
 							{:else if item.status == 3}
-								<span class="bi bi-check" style="color: green;"></span>
+								<span class="bi bi-check" style="color: green;" />
 							{/if}
 						{/if}
 					</button>
 				{/each}
 			</div>
 			<button
-				onclick={() => {
+				on:click={() => {
 					setActive('-----New Class-----')();
 					selected_class = undefined;
 				}}
 			>
-				<span class="bi bi-plus"></span>
+				<span class="bi bi-plus" />
 			</button>
 		</div>
 		{#if selected_class == undefined && isActive('-----New Class-----')}
@@ -171,31 +184,21 @@
 					<div slot="buttons" let:setActive let:isActive>
 						<button
 							class="tab"
-							type="button"
+							on:click|preventDefault={setActive('zip')}
-							onclick={setActive('zip')}
 							class:selected={isActive('zip')}
 						>
 							Zip
 						</button>
 						<button
 							class="tab"
-							type="button"
+							on:click|preventDefault={setActive('empty')}
-							onclick={setActive('empty')}
 							class:selected={isActive('empty')}
 						>
 							Empty Class
 						</button>
-						<button
-							class="tab"
-							type="button"
-							onclick={setActive('api')}
-							class:selected={isActive('api')}
-						>
-							API
-						</button>
 					</div>
 					<div class="content" class:selected={isActive('zip')}>
-						<form onsubmit={preventDefault(uploadZip)}>
+						<form on:submit|preventDefault={uploadZip}>
 							<fieldset class="file-upload">
 								<label for="file">Data file</label>
 								<div class="form-msg">
@@ -215,6 +218,7 @@
 									</div>
 								</FileUpload>
 							</fieldset>
+							<MessageSimple bind:this={uploadImage} />
 							{#if file}
 								{#await uploading}
 									<button disabled> Uploading </button>
@@ -225,7 +229,7 @@
 						</form>
 					</div>
 					<div class="content" class:selected={isActive('empty')}>
-						<form onsubmit={preventDefault(createNewClass)}>
+						<form on:submit|preventDefault={createNewClass}>
 							<div class="form-msg">
 								This Creates an empty class that allows images to be added after
 							</div>
@@ -233,12 +237,10 @@
 								<label for="className">Class Name</label>
 								<input required name="className" bind:value={createClass.className} />
 							</fieldset>
+							<MessageSimple bind:this={createNewClassMessages} />
 							<button> Create New Class </button>
 						</form>
 					</div>
-					<div class="content" class:selected={isActive('api')}>
-						<CreateNewClass {model} />
-					</div>
 				</Tabs>
 			</div>
 		{/if}
@@ -256,7 +258,7 @@
 					{:else}
 						Class to train
 					{/if}
-					<button onclick={() => uploadImageDialog.showModal()}> Upload Image </button>
+					<button on:click={() => uploadImageDialog.showModal()}> Upload Image </button>
 				</h2>
 				<table>
 					<thead>
@@ -312,7 +314,7 @@
 									{/if}
 								</td>
 								<td style="width: 3ch">
-									<button class="danger" onclick={() => deleteDataPoint(image.id)}>
+									<button class="danger" on:click={() => deleteDataPoint(image.id)}>
 										<span class="bi bi-trash"></span>
 									</button>
 								</td>
@@ -323,7 +325,7 @@
 				<div class="flex justify-center align-center">
 					<div class="grow-1 flex justify-end align-center">
 						{#if page > 0}
-							<button onclick={() => (page -= 1)}> Prev </button>
+							<button on:click={() => (page -= 1)}> Prev </button>
 						{/if}
 					</div>
 
@@ -333,7 +335,7 @@
 
 					<div class="grow-1 flex justify-start align-center">
 						{#if showNext}
-							<button onclick={() => (page += 1)}> Next </button>
+							<button on:click={() => (page += 1)}> Next </button>
 						{/if}
 					</div>
 				</div>
@@ -343,7 +345,7 @@
 {/if}
 
 <dialog class="newImageDialog" bind:this={uploadImageDialog}>
-	<form onsubmit={preventDefault(addImage)}>
+	<form on:submit|preventDefault={addImage}>
 		<fieldset class="file-upload">
 			<label for="file">Data file</label>
 			<div class="form-msg">
@@ -363,6 +365,7 @@
 				</div>
 			</FileUpload>
 		</fieldset>
+		<MessageSimple bind:this={addImageMessages} />
 		{#if addFile}
 			{#await adding}
 				<button disabled> Uploading </button>
@@ -412,4 +415,10 @@
 	table tr th:first-child {
 		border-left: none;
 	}
+
+	table tr td button,
+	table tr td .button {
+		padding: 5px 10px;
+		box-shadow: 0 2px 5px 1px #66666655;
+	}
 </style>

webpage/src/routes/models/edit/RunModel.svelte

@@ -1,29 +1,26 @@
 <script lang="ts">
-	import { post, postFormData, showMessage } from 'src/lib/requests.svelte';
+	import { post, postFormData } from 'src/lib/requests.svelte';
 	import type { Model } from './+page.svelte';
 	import FileUpload from 'src/lib/FileUpload.svelte';
-	import { onDestroy } from 'svelte';
+	import MessageSimple from 'src/lib/MessageSimple.svelte';
+	import { createEventDispatcher, onDestroy } from 'svelte';
 	import Spinner from 'src/lib/Spinner.svelte';
-	import type { Task } from './tasks/types';
+	import type { Task } from './TasksTable.svelte';
-	import Tabs from 'src/lib/Tabs.svelte';
-	import hljs from 'highlight.js';
-	import { notificationStore } from 'src/lib/NotificationsStore.svelte';
-	import { preventDefault } from 'src/lib/utils';
 
-	let {
+	let { model } = $props<{ model: Model }>();
-		model,
-		onupload = () => {},
-		ontaskReload = () => {}
-	}: { model: Model; onupload?: () => void; ontaskReload?: () => void } = $props();
 
 	let file: File | undefined = $state();
 
+	const dispatch = createEventDispatcher<{ upload: void; taskReload: void }>();
+
 	let _result: Promise<Task> = $state(new Promise(() => {}));
 	let run = $state(false);
 
 	let last_task: string | undefined = $state();
 	let last_task_timeout: number | null = null;
 
+	let messages: MessageSimple;
+
 	async function reloadLastTimeout() {
 		if (!last_task) {
 			return;
@@ -34,7 +31,7 @@
 			const r = await post('tasks/task', { id: last_task });
 			if ([0, 1, 2, 3].includes(r.status)) {
 				setTimeout(reloadLastTimeout, 500);
-				setTimeout(ontaskReload, 500);
+				setTimeout(() => dispatch('taskReload'), 500);
 			} else {
 				_result = Promise.resolve(r);
 			}
@@ -45,6 +42,7 @@
 
 	async function submit() {
 		if (!file) return;
+		messages.clear();
 
 		let form = new FormData();
 		form.append('json_data', JSON.stringify({ id: model.id }));
@@ -58,10 +56,14 @@
 			file = undefined;
 			last_task_timeout = setTimeout(() => reloadLastTimeout());
 		} catch (e) {
-			showMessage(e, notificationStore, 'Could not run the model');
+			if (e instanceof Response) {
+				messages.display(await e.json());
+			} else {
+				messages.display('Could not run the model');
+			}
 		}
 
-		onupload();
+		dispatch('upload');
 	}
 
 	onDestroy(() => {
@@ -71,72 +73,7 @@
 	});
 </script>
 
-<Tabs active="upload" let:isActive>
+<form on:submit|preventDefault={submit}>
-	<div class="buttons" slot="buttons" let:setActive let:isActive>
-		<button class="tab" class:selected={isActive('upload')} onclick={setActive('upload')}>
-			Upload
-		</button>
-		<button class="tab" class:selected={isActive('api')} onclick={setActive('api')}> Api </button>
-	</div>
-	<div class="content" class:selected={isActive('api')}>
-		<div class="codeinfo">
-			To perform an image classfication please follow the example bellow:
-			<pre style="font-family: Fira Code;">{@html hljs.highlight(
-					`let form = new FormData();
-form.append('json_data', JSON.stringify({ id: '${model.id}' }));
-form.append('file', file, 'file');
-
-const headers = new Headers();
-headers.append('response-type', 'application/json');
-headers.append('token', token);
-
-const r = await fetch('${window.location.protocol}//${window.location.hostname}/api/tasks/start/image', {
-	method: 'POST',
-	headers: headers,
-	body: form
-});`,
-					{ language: 'javascript' }
-				).value}</pre>
-			On Success the request will return a json with this format:
-			<pre style="font-family: Fira Code;">{@html hljs.highlight(
-					`{ id	"00000000-0000-0000-0000-000000000000" }`,
-					{ language: 'json' }
-				).value}</pre>
-			This id can be used to query the API for the result of the task:
-			<pre style="font-family: Fira Code;">{@html hljs.highlight(
-					`const headers = new Headers();
-headers.append('content-type', 'application/json');
-headers.append('token', token);
-
-const r = await fetch('${window.location.protocol}//${window.location.hostname}/api/tasks/task', {
-	method: 'POST',
-	headers: headers,
-	body: JSON.stringify({ id: '00000000-0000-0000-0000-000000000000' })
-});`,
-					{ language: 'javascript' }
-				).value}</pre>
-			Once the task shows the status as 4 then the data can be obatined in the result field: The successful
-			return value has this type:
-			<pre style="font-family: Fira Code;">{@html hljs.highlight(
-					`{
-    "id": string,
-    "user_id": string,
-    "model_id": string,
-    "status": number,
-    "status_message": string,
-    "user_confirmed": number,
-    "compacted": number,
-    "type": number,
-    "extra_task_info": string,
-    "result": string,
-    "created": string
-}`,
-					{ language: 'javascript' }
-				).value}</pre>
-		</div>
-	</div>
-	<div class="content" class:selected={isActive('upload')}>
-		<form onsubmit={preventDefault(submit)} style="box-shadow: none;">
 	<fieldset class="file-upload">
 		<label for="file">Image</label>
 		<div class="form-msg">Run image through them model and get the result</div>
@@ -149,6 +86,7 @@ const r = await fetch('${window.location.protocol}//${window.location.hostname}/
 			</div>
 		</FileUpload>
 	</fieldset>
+	<MessageSimple bind:this={messages} />
 	<button> Run </button>
 	{#if run}
 		{#await _result}
@@ -170,12 +108,4 @@ const r = await fetch('${window.location.protocol}//${window.location.hostname}/
 			{/if}
 		{/await}
 	{/if}
-		</form>
+</form>
-	</div>
-</Tabs>
-
-<style lang="scss">
-	.codeinfo {
-		padding: 20px;
-	}
-</style>

webpage/src/routes/models/edit/TasksDataPage.svelte

@@ -1,4 +1,5 @@
 <script lang="ts">
+	import { post } from 'src/lib/requests.svelte';
 	import type { Model } from 'src/routes/models/edit/+page.svelte';
 	import RunModel from './RunModel.svelte';
 	import TasksTable from './tasks/TasksTable.svelte';
@@ -11,7 +12,7 @@
 
 {#if active}
 	<div class="content selected">
-		<RunModel {model} onupload={() => table.getList()} ontaskReload={() => table.getList()} />
+		<RunModel {model} on:upload={() => table.getList()} on:taskReload={() => table.getList()} />
 		<TasksTable {model} bind:this={table} />
 		<Stats {model} />
 	</div>

webpage/src/routes/models/edit/TrainModel.svelte

@@ -1,20 +1,14 @@
 <script lang="ts">
-	import { notificationStore } from 'src/lib/NotificationsStore.svelte';
+	import MessageSimple from 'src/lib/MessageSimple.svelte';
 	import type { Model } from './+page.svelte';
-	import { post, showMessage } from 'src/lib/requests.svelte';
+	import { post } from 'src/lib/requests.svelte';
-	import { preventDefault } from 'src/lib/utils';
+	import { createEventDispatcher } from 'svelte';
 
-	let {
+	let { number_of_invalid_images, has_data, model } = $props<{
-		number_of_invalid_images,
-		has_data,
-		model,
-		onreload = () => {}
-	}: {
 		number_of_invalid_images: number;
 		has_data: boolean;
 		model: Model;
-		onreload?: () => void;
+	}>();
-	} = $props();
 
 	let data = $state({
 		model_type: 'simple',
@@ -24,39 +18,54 @@
 
 	let submitted = $state(false);
 
+	let dispatch = createEventDispatcher<{ reload: void }>();
+
+	let messages: MessageSimple;
+
 	async function submit() {
+		messages.clear();
 		submitted = true;
 		try {
 			await post('models/train', {
 				id: model.id,
 				...data
 			});
-			onreload();
+			dispatch('reload');
 		} catch (e) {
-			showMessage(e, notificationStore, 'Could not start the training of the model');
+			if (e instanceof Response) {
+				messages.display(await e.json());
+			} else {
+				messages.display('Could not start the training of the model');
+			}
 		}
 	}
 
 	async function submitRetrain() {
+		messages.clear();
 		submitted = true;
 		try {
 			await post('model/train/retrain', { id: model.id });
-			onreload();
+			dispatch('reload');
 		} catch (e) {
-			showMessage(e, notificationStore, 'Could not start the training of the model');
+			if (e instanceof Response) {
+				messages.display(await e.json());
+			} else {
+				messages.display('Could not start the training of the model');
+			}
 		}
 	}
 </script>
 
 {#if model.status == 2}
-	<form class:submitted onsubmit={preventDefault(submit)}>
+	<form class:submitted on:submit|preventDefault={submit}>
 		{#if has_data}
 			{#if number_of_invalid_images > 0}
 				<p class="danger">
 					There are images {number_of_invalid_images} that were loaded that do not have the correct format.DeleteZip
-					These images will be deleted when the model trains.
+					These images will be delete when the model trains.
 				</p>
 			{/if}
+			<MessageSimple bind:this={messages} />
 			<!-- TODO expading mode -->
 			<fieldset>
 				<legend> Model Type </legend>
@@ -101,16 +110,17 @@
 			<h2>To train the model please provide data to the model first</h2>
 		{/if}
 	</form>
-{:else if ![4, 6, 7].includes(model.status)}
+{:else}
-	<form class:submitted onsubmit={submitRetrain}>
+	<form class:submitted on:submit|preventDefault={submitRetrain}>
 		{#if has_data}
 			<h2>This model has new classes and can be expanded</h2>
 			{#if number_of_invalid_images > 0}
 				<p class="danger">
 					There are images {number_of_invalid_images} that were loaded that do not have the correct format.DeleteZip
-					These images will be deleted when the model trains.
+					These images will be delete when the model trains.
 				</p>
 			{/if}
+			<MessageSimple bind:this={messages} />
 			<button> Retrain </button>
 		{:else}
 			<h2>To train the model please provide data to the model first</h2>

webpage/src/routes/models/edit/api/CreateNewClass.svelte

@@ -1,27 +0,0 @@
-<script lang="ts">
-	import hljs from 'highlight.js';
-	import type { Model } from '../+page.svelte';
-
-	let { model }: { model: Model } = $props();
-</script>
-
-To create a new class via the API you can:
-<pre style="font-family: Fira Code;">{@html hljs.highlight(
-		`let form = new FormData();
-form.append('json_data', JSON.stringify({
-	id: '${model.id}',
-	name: 'New class name'
-}));
-form.append('file', file, 'file');
-
-const headers = new Headers();
-headers.append('response-type', 'application/json');
-headers.append('token', token);
-
-const r = await fetch('${window.location.protocol}//${window.location.hostname}/models/data/class/new', {
-	method: 'POST',
-	headers: headers,
-	body: form
-});`,
-		{ language: 'javascript' }
-	).value}</pre>

webpage/src/routes/models/edit/tasks/Stats.svelte

@@ -1,5 +1,5 @@
 <script lang="ts">
-	import { onDestroy } from 'svelte';
+	import { onDestroy, onMount } from 'svelte';
 	import type { Model } from '../+page.svelte';
 	import { post, showMessage } from 'src/lib/requests.svelte';
 	import type { DataPoint, TasksStatsDay } from 'src/types/stats/task';
@@ -18,6 +18,7 @@
 		PointElement,
 		LineElement
 	} from 'chart.js';
+	import ModelData from '../ModelData.svelte';
 
 	Chart.register(
 		Title,
@@ -56,9 +57,7 @@
 	}
 
 	let pie: HTMLCanvasElement;
-	let pie2: HTMLCanvasElement;
 	let pieChart: Chart<'pie'> | undefined;
-	let pie2Chart: Chart<'pie'> | undefined;
 	function createPie(s: TasksStatsDay) {
 		if (pieChart) {
 			pieChart.destroy();
@@ -73,31 +72,23 @@
 					'Classfication Failure',
 					'Classfication Preparing',
 					'Classfication Running',
-					'Classfication Unknown'
+					'Classfication Unknown',
+					'Non Classfication Error',
+					'Non Classfication Success'
 				],
 				datasets: [
 					{
 						label: 'Total',
-						data: [t.c_error, t.c_success, t.c_failure, t.c_pre_running, t.c_running, t.c_unknown]
+						data: [
-					}
+							t.c_error,
+							t.c_success,
+							t.c_failure,
+							t.c_pre_running,
+							t.c_running,
+							t.c_unknown,
+							t.nc_error,
+							t.nc_success
 						]
-			},
-			options: {
-				animation: false
-			}
-		});
-
-		if (pie2Chart) {
-			pieChart.destroy();
-		}
-		pie2Chart = new Chart(pie2, {
-			type: 'pie',
-			data: {
-				labels: ['Non Classfication Error', 'Non Classfication Success'],
-				datasets: [
-					{
-						label: 'Total',
-						data: [t.nc_error, t.nc_success]
 					}
 				]
 			},
@@ -124,6 +115,7 @@
 			nc_error: 'Non Classfication Error',
 			nc_success: 'Non Classfication Success'
 		};
+		let t = s.total;
 		let labels = new Array(24).fill(0).map((_, i) => i);
 		lineChart = new Chart(line, {
 			type: 'line',
@@ -155,13 +147,8 @@
 <h1>Statistics (Day)</h1>
 
 <h2>Total</h2>
-<div class="pies">
+<div>
-	<div>
 	<canvas bind:this={pie}></canvas>
-	</div>
-	<div>
-		<canvas bind:this={pie2}></canvas>
-	</div>
 </div>
 
 <h2>Hourly</h2>
@@ -173,12 +160,4 @@
 	canvas {
 		width: 100%;
 	}
-	.pies {
-		display: flex;
-		align-content: stretch;
-
-		div {
-			width: 50%;
-		}
-	}
 </style>

webpage/src/routes/models/edit/tasks/TasksTable.svelte

@@ -1,4 +1,16 @@
 <script lang="ts" context="module">
+	export type Task = {
+		id: string;
+		user_id: string;
+		model_id: string;
+		status: number;
+		status_message: string;
+		user_confirmed: number;
+		compacted: number;
+		type: number;
+		created: string;
+		result: string;
+	};
 	export const TaskType = {
 		TASK_FAILED_RUNNING: -2,
 		TASK_FAILED_CREATION: -1,
@@ -40,10 +52,9 @@
 <script lang="ts">
 	import { post, showMessage } from 'src/lib/requests.svelte';
 	import type { Model } from '../+page.svelte';
+	import MessageSimple from 'src/lib/MessageSimple.svelte';
 	import Tooltip from 'src/lib/Tooltip.svelte';
 
-	import type { Task } from './types';
-
 	let { model }: { model: Model } = $props();
 
 	let page = $state(0);
@@ -69,6 +80,7 @@
 		}
 	});
 
+	let userPreceptionMessages: MessageSimple;
 	// This returns a function that performs the call and does not do the call it self
 	function userPreception(task: string, agree: number) {
 		return async function () {
@@ -87,6 +99,7 @@
 
 <div>
 	<h2>Tasks</h2>
+	<MessageSimple bind:this={userPreceptionMessages} />
 	<table>
 		<thead>
 			<tr>
@@ -143,14 +156,14 @@
 								<div>
 									{#if task.user_confirmed != 1}
 										<Tooltip title="Agree with the result of the task">
-											<button type="button" onclick={userPreception(task.id, 1)}>
+											<button type="button" on:click={userPreception(task.id, 1)}>
 												<span class="bi bi-check"></span>
 											</button>
 										</Tooltip>
 									{/if}
 									{#if task.user_confirmed != -1}
 										<Tooltip title="Disagree with the result">
-											<button class="danger" type="button" onclick={userPreception(task.id, -1)}>
+											<button class="danger" type="button" on:click={userPreception(task.id, -1)}>
 												<span class="bi bi-x-lg"></span>
 											</button>
 										</Tooltip>
@@ -195,7 +208,7 @@
 	<div class="flex justify-center align-center">
 		<div class="grow-1 flex justify-end align-center">
 			{#if page > 0}
-				<button onclick={() => (page -= 1)}> Prev </button>
+				<button on:click={() => (page -= 1)}> Prev </button>
 			{/if}
 		</div>
 
@@ -205,7 +218,7 @@
 
 		<div class="grow-1 flex justify-start align-center">
 			{#if showNext}
-				<button onclick={() => (page += 1)}> Next </button>
+				<button on:click={() => (page += 1)}> Next </button>
 			{/if}
 		</div>
 	</div>
@@ -216,6 +229,10 @@
 		width: 100%;
 		display: flex;
 		justify-content: space-between;
+
+		& > button {
+			margin: 3px 5px;
+		}
 	}
 
 	table {

webpage/src/routes/models/edit/tasks/types.ts

@@ -1,12 +0,0 @@
-export type Task = {
-	id: string;
-	user_id: string;
-	model_id: string;
-	status: number;
-	status_message: string;
-	user_confirmed: number;
-	compacted: number;
-	type: number;
-	created: string;
-	result: string;
-};

webpage/src/routes/models/edit/types.ts

@@ -3,16 +3,3 @@ export type ModelStats = Array<{
 	training: number;
 	testing: number;
 }>;
-
-export type Class = {
-	name: string;
-	id: string;
-	status: number;
-};
-
-export type Image = {
-	file_path: string;
-	mode: number;
-	status: number;
-	id: string;
-};

webpage/src/routes/register/+page.svelte

@@ -3,7 +3,6 @@
 	import 'src/styles/forms.css';
 	import { userStore } from '../UserStore.svelte';
 	import { goto } from '$app/navigation';
-	import { preventDefault } from 'src/lib/utils';
 
 	let submitted = $state(false);
 
@@ -40,7 +39,7 @@
 <div class="login-page">
 	<div>
 		<h1>Register</h1>
-		<form onsubmit={preventDefault(onSubmit)} class:submitted>
+		<form on:submit|preventDefault={onSubmit} class:submitted>
 			<fieldset>
 				<label for="username">Username</label>
 				<input required name="username" bind:value={loginData.username} />

webpage/src/routes/user/info/+page.svelte

@@ -4,11 +4,10 @@
 	import { onMount } from 'svelte';
 
 	import 'src/styles/forms.css';
-	import { post, showMessage } from 'src/lib/requests.svelte';
+	import { post } from 'src/lib/requests.svelte';
+	import MessageSimple, { type DisplayFn } from 'src/lib/MessageSimple.svelte';
 	import TokenTable from './TokenTable.svelte';
 	import DeleteUser from './DeleteUser.svelte';
-	import { notificationStore } from 'src/lib/NotificationsStore.svelte';
-	import { preventDefault } from 'src/lib/utils';
 
 	onMount(() => {
 		if (!userStore.isLogin()) {
@@ -27,8 +26,12 @@
 	let submiitedEmail = $state(false);
 	let submiitedPassword = $state(false);
 
+	let msgEmail: MessageSimple;
+	let msgPassword: MessageSimple;
+
 	async function onSubmitEmail() {
 		submiitedEmail = true;
+		msgEmail.display('');
 
 		if (!userStore.user) return;
 
@@ -41,31 +44,31 @@
 				...userStore.user,
 				...req
 			};
-			notificationStore.add({
+			msgEmail.display('User updated successufly!', { type: 'success', timeToShow: 10000 });
-				message: 'User updated successufly!',
-				type: 'success',
-				timeToLive: 10000
-			});
 		} catch (e) {
-			showMessage(e, notificationStore, 'Could not update email');
+			if (e instanceof Response) {
+				msgEmail.display(await e.json());
+			} else {
+				msgEmail.display('Could not update email');
+			}
 		}
 	}
 
 	async function onSubmitPassword() {
 		submiitedPassword = true;
+		msgPassword.display('');
 		if (!userStore.user) return;
 
 		try {
 			await post('user/info/password', passwordData);
 			passwordData = { old_password: '', password: '', password2: '' };
-
+			msgPassword.display('Password updated successufly!', { type: 'success', timeToShow: 10000 });
-			notificationStore.add({
-				message: 'Password updated successufly!',
-				type: 'success',
-				timeToLive: 10000
-			});
 		} catch (e) {
-			showMessage(e, notificationStore, 'Could not update password');
+			if (e instanceof Response) {
+				msgPassword.display(await e.json());
+			} else {
+				msgPassword.display('Could not update password');
+			}
 		}
 	}
 </script>
@@ -77,14 +80,15 @@
 <div class="login-page">
 	<div>
 		<h1>User Infomation</h1>
-		<form onsubmit={onSubmitEmail} class:submiitedEmail>
+		<form on:submit|preventDefault={onSubmitEmail} class:submiitedEmail>
 			<fieldset>
 				<label for="email">Email</label>
 				<input type="email" required name="email" bind:value={email} />
 			</fieldset>
+			<MessageSimple bind:this={msgEmail} />
 			<button> Update </button>
 		</form>
-		<form onsubmit={preventDefault(onSubmitPassword)} class:submiitedPassword>
+		<form on:submit|preventDefault={onSubmitPassword} class:submiitedPassword>
 			<fieldset>
 				<label for="old_password">Old Password</label>
 				<input
@@ -102,6 +106,7 @@
 				<label for="password2">Repeat New Password</label>
 				<input required bind:value={passwordData.password2} name="password2" type="password" />
 			</fieldset>
+			<MessageSimple bind:this={msgPassword} />
 			<div>
 				<button> Update </button>
 			</div>

webpage/src/routes/user/info/AddToken.svelte

@@ -1,21 +1,25 @@
 <script lang="ts">
+    import {createEventDispatcher} from 'svelte';
+	import MessageSimple from 'src/lib/MessageSimple.svelte';
 	import Tooltip from 'src/lib/Tooltip.svelte';
 	import 'src/styles/forms.css';
-	import { post } from 'src/lib/requests.svelte';
+    import {post} from 'src/lib/requests.svelte';
     import Spinner from 'src/lib/Spinner.svelte';
-	import { preventDefault } from 'src/lib/utils';
 
-	let { onreload = () => {} }: { onreload?: () => void } = $props();
+
+    const dispatch = createEventDispatcher<{reload: void}>();
 
 	let addNewToken = $state(false);
 
+	let messages: MessageSimple;
+
 	let expiry_date: HTMLInputElement = $state(undefined as any);
     
     type NewToken = {
-		name: string;
+        name: string,
-		expiry: number;
+        expiry: number,
-		token: string;
+        token: string,
-	};
+    }
 
     let token: Promise<NewToken> | undefined = $state();
 
@@ -26,7 +30,7 @@
 	} = $state({
 		name: '',
 		expiry: '',
-		password: ''
+        password: '',
 	});
 
 	async function createToken(e: SubmitEvent & { currentTarget: HTMLFormElement }) {
@@ -44,16 +48,16 @@
 		}
 
         try {
-			const r = await post('user/token/add', {
+            const r = await post("user/token/add", {
                 name: newToken.name,
                 expiry: expiry,
-				password: newToken.password
+                password: newToken.password,
             });
-			token = Promise.resolve(r);
+            token = Promise.resolve(r)
-			setTimeout(onreload, 500);
+            setTimeout(() => dispatch('reload'), 500)
         } catch (e) {
             token = undefined;
-			console.error('Notify user', e);
+            console.error("Notify user", e)
         }
 	}
 
@@ -72,7 +76,7 @@
 	<div>
 		<h2>Add New Token</h2>
         {#if !token}
-			<form onsubmit={preventDefault(createToken)}>
+            <form on:submit|preventDefault={createToken}>
                 <fieldset>
                     <label for="name">Name</label>
                     <input required bind:value={newToken.name} name="name" />
@@ -82,7 +86,7 @@
                     <div class="flex">
                         <input bind:this={expiry_date} bind:value={newToken.expiry} name="expiry_date" />
                         <Tooltip title="Time in seconds. Leave empty to last forever">
-							<span class="center-question bi bi-question-circle-fill"></span>
+                            <span class="center-question bi bi-question-circle-fill" />
                         </Tooltip>
                     </div>
                 </fieldset>
@@ -90,6 +94,7 @@
                     <label for="password">Password</label>
                     <input required bind:value={newToken.password} name="password" />
                 </fieldset>
+                <MessageSimple bind:this={messages} />
                 <div>
                     <button> Update </button>
                 </div>
@@ -98,21 +103,21 @@
             {#await token}
                 <Spinner /> Generating
             {:then t}
-				<h3>Token generated</h3>
+                <h3> Token generated </h3>
-				<form onsubmit={preventDefault(() => {})}>
+                <form on:submit|preventDefault={() => {}}>
                     <fieldset>
                         <label for="token">Token</label>
                         <div class="flex">
-							<input value={t.token} oninput={(e) => e.preventDefault()} name="token" />
+                            <input value={t.token} on:input={(e) => e.preventDefault() } name="token" />
                             <div style="width: 5em;">
-								<button onclick={() => navigator.clipboard.writeText(t.token)}>
+                                <button on:click={() => navigator.clipboard.writeText(t.token)} >
-									<span class="bi bi-clipboard"></span>
+                                    <span class="bi bi-clipboard" />
                                 </button>
                             </div>
                         </div>
                     </fieldset>
                     <div>
-						<button onclick={() => (token = undefined)}> Generate new token </button>
+                        <button on:click={() => token = undefined}> Generate new token </button>
                     </div>
                 </form>
             {:catch e}
@@ -122,6 +127,6 @@
 	</div>
 {:else}
 	<div>
-		<button class="expander" onclick={() => (addNewToken = true)}> Add New Token </button>
+		<button class="expander" on:click={() => (addNewToken = true)}> Add New Token </button>
 	</div>
 {/if}

webpage/src/routes/user/info/DeleteUser.svelte

@@ -2,7 +2,6 @@
 	import { goto } from '$app/navigation';
 	import { notificationStore } from 'src/lib/NotificationsStore.svelte';
 	import { rdelete, showMessage } from 'src/lib/requests.svelte';
-	import { preventDefault } from 'src/lib/utils';
 	import { userStore } from 'src/routes/UserStore.svelte';
 
 	let data = $state({ password: '' });
@@ -24,7 +23,7 @@
 	}
 </script>
 
-<form class="danger-bg" onsubmit={preventDefault(deleteUser)}>
+<form class="danger-bg" on:submit|preventDefault={deleteUser}>
 	<h2 class="no-top-margin">Delete user</h2>
 	Deleting the user will delete all your data stored in the service including the images.
 	<fieldset>

webpage/src/routes/user/info/TokenTable.svelte

@@ -70,7 +70,7 @@
 						{new Date(token.create_date).toLocaleString()}
 					</td>
 					<td>
-						<button class="danger" onclick={() => removeToken(token)}>
+						<button class="danger" on:click={() => removeToken(token)}>
 							<span class="bi bi-trash"></span>
 						</button>
 					</td>
@@ -81,7 +81,7 @@
 	<div class="flex justify-center align-center">
 		<div class="grow-1 flex justify-end align-center">
 			{#if page > 0}
-				<button onclick={() => (page -= 1)}> Prev </button>
+				<button on:click={() => (page -= 1)}> Prev </button>
 			{/if}
 		</div>
 
@@ -91,15 +91,25 @@
 
 		<div class="grow-1 flex justify-start align-center">
 			{#if showNext}
-				<button onclick={() => (page += 1)}> Next </button>
+				<button on:click={() => (page += 1)}> Next </button>
 			{/if}
 		</div>
 	</div>
 </div>
 
-<AddToken onreload={getList} />
+<AddToken on:reload={getList} />
 
 <style lang="scss">
+	.buttons {
+		width: 100%;
+		display: flex;
+		justify-content: space-between;
+
+		& > button {
+			margin: 3px 5px;
+		}
+	}
+
 	table {
 		width: 100%;
 		box-shadow: 0 2px 8px 1px #66666622;
@@ -122,4 +132,10 @@
 	table tr th:first-child {
 		border-left: none;
 	}
+
+	table tr td button,
+	table tr td .button {
+		padding: 5px 10px;
+		box-shadow: 0 2px 5px 1px #66666655;
+	}
 </style>

webpage/src/styles/app.css

@@ -65,7 +65,6 @@ button.expander::after {
 
 a.button {
 	text-decoration: none;
-	height: 1.6em;
 }
 
 .flex {
@@ -191,12 +190,3 @@ form.danger-bg {
 	background-color: var(--danger-transparent);
 	border: 1px solid var(--danger);
 }
-
-pre {
-	font-family: 'Fira Code';
-	background-color: #f6f8fa;
-	word-break: break-word;
-	white-space: pre-wrap;
-	border-radius: 10px;
-	padding: 10px;
-}

webpage/svelte.config.js

@@ -13,8 +13,8 @@ const config = {
 		// See https://kit.svelte.dev/docs/adapters for more information about adapters.
 		adapter: adapter(),
         alias: {
-			src: 'src',
+            src: "src",
-			routes: 'src/routes'
+            routes: "src/routes",
         }
 	}
 };

webpage/vite.config.ts

@@ -2,10 +2,5 @@ import { sveltekit } from '@sveltejs/kit/vite';
 import { defineConfig } from 'vite';
 
 export default defineConfig({
-	plugins: [sveltekit()],
+	plugins: [sveltekit()]
-	build: {
-		commonjsOptions: {
-			esmExternals: true
-		}
-	}
 });