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main ... runner

Author SHA1 Message Date
b1e4211e6a more work on the rust runner 2024-05-06 12:48:02 +01:00
e22df8adc9 started working on runner 2024-05-06 01:10:58 +01:00
92 changed files with 4320 additions and 6464 deletions

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@ -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;"]

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@ -14,7 +14,7 @@ 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 bash -c 'curl -L "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-linux-x86_64-2.13.1.tar.gz" | tar -C /usr/local -xz'
RUN ldconfig
RUN ln -s /usr/bin/python3 /usr/bin/python
@ -31,10 +31,7 @@ ADD go.mod .
ADD go.sum .
ADD main.go .
ADD logic logic
ADD entrypoint.sh .
RUN go install || true
RUN go build .
CMD ["./entrypoint.sh"]
CMD ["go", "run", "."]

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@ -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

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@ -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"

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@ -1,44 +1,11 @@
services:
db:
image: docker.io/postgres:16.3
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
version: "3.1"
networks:
fyp-network: {}
services:
db:
image: docker.andr3h3nriqu3s.com/services/postgres
command: -c 'max_connections=600'
restart: always
environment:
POSTGRES_PASSWORD: verysafepassword
ports:
- "5432:5432"

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

4
go.mod
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@ -9,11 +9,10 @@ require (
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
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 +20,7 @@ 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

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@ -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
}

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@ -2,10 +2,8 @@ package dbtypes
import (
"encoding/json"
"fmt"
"git.andr3h3nriqu3s.com/andr3/fyp/logic/db"
"github.com/charmbracelet/log"
)
type LayerType int
@ -20,28 +18,15 @@ const (
type Layer struct {
Id string `db:"mdl.id" json:"id"`
DefinitionId string `db:"mdl.def_id" json:"definition_id"`
LayerOrder int `db:"mdl.layer_order" json:"layer_order"`
LayerOrder string `db:"mdl.layer_order" json:"layer_order"`
LayerType LayerType `db:"mdl.layer_type" json:"layer_type"`
Shape string `db:"mdl.shape" json:"shape"`
ExpType int `db:"mdl.exp_type" json:"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"
}
ExpType string `db:"mdl.exp_type" json:"exp_type"`
}
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)
}

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@ -3,6 +3,7 @@ package dbtypes
import (
"errors"
"fmt"
"path"
"git.andr3h3nriqu3s.com/andr3/fyp/logic/db"
)
@ -50,16 +51,17 @@ const (
)
type BaseModel struct {
Name string `json:"name"`
Status int `json:"status"`
Id string `json:"id"`
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"`
Name string
Status int
Id string
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"`
}
var ModelNotFoundError = errors.New("Model not found error")
@ -100,7 +102,6 @@ func (m *BaseModel) UpdateStatus(db db.Db, status ModelStatus) (err error) {
}
type DataPoint struct {
Id string `json:"id"`
Class int `json:"class"`
Path string `json:"path"`
}
@ -125,11 +126,14 @@ 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
}
data = append(data, DataPoint{
Id: id,
Path: file_path,
Class: class_order,
})
if file_path == "id://" {
data = append(data, DataPoint{
Path: path.Join("./savedData", m.Id, "data", id+"."+m.Format),
Class: class_order,
})
} else {
panic("TODO remote file path")
}
}
return
}

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@ -14,19 +14,10 @@ const (
)
type User struct {
Id string `db:"u.id" json:"id"`
Username string `db:"u.username" json:"username"`
Email string `db:"u.email" json:"email"`
UserType int `db:"u.user_type" json:"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
Id string `db:"u.id"`
Username string `db:"u.username"`
Email string `db:"u.email"`
UserType int `db:"u.user_type"`
}
func UserFromToken(db db.Db, token string) (*User, error) {

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@ -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)

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@ -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.Warn("Testing and traing datasets differ")
c.Logger.Info("Diff", "testing", testing, "training", training)
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")
@ -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 more classes")
return c.JsonBadRequest("Model not in the correct state to add a more classes")
}
// TODO mk this path configurable

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@ -4,7 +4,6 @@ import (
"errors"
"os"
"path"
"runtime/debug"
. "git.andr3h3nriqu3s.com/andr3/fyp/logic/db_types"
. "git.andr3h3nriqu3s.com/andr3/fyp/logic/tasks/utils"
@ -38,19 +37,11 @@ func ReadJPG(scope *op.Scope, imagePath string, channels int64) *image.Image {
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
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
}
tf_model := tg.LoadModel(path.Join("savedData", model.Id, "defs", def_id, "model"), []string{"serve"}, nil)
results := tf_model.Exec([]tf.Output{
tf_model.Op("StatefulPartitionedCall", 0),
@ -134,15 +125,10 @@ func runModelExp(base BasePack, model *BaseModel, def_id string, inputImage *tf.
return
}
type RunnerModelData struct {
Id *string
Model *tg.Model
}
func ClassifyTask(base BasePack, task Task, data *RunnerModelData) (err error) {
func ClassifyTask(base BasePack, task Task) (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 +186,6 @@ 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 +193,7 @@ 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

View File

@ -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:

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@ -6,7 +6,6 @@ import (
. "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"
)
@ -40,6 +39,7 @@ func PrepareTraining(handler *Handle, b BasePack, task Task, runner_id string) (
}
if model.ModelType == 2 {
panic("TODO")
full_error := generateExpandableDefinitions(b, model, dat.Accuracy, dat.NumberOfModels)
if full_error != nil {
l.Error("Failed to generate defintions", "err", full_error)
@ -57,6 +57,7 @@ func PrepareTraining(handler *Handle, b BasePack, task Task, runner_id string) (
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
@ -75,44 +76,4 @@ func CleanUpFailed(b BasePack, task *Task) {
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_)
}
}

View File

@ -101,10 +101,6 @@ func setModelClassStatus(c BasePack, status ModelClassStatus, filter string, arg
return
}
func SetModelClassStatus(c BasePack, status ModelClassStatus, filter string, args ...any) (err error) {
return setModelClassStatus(c, status, filter, args...)
}
func generateCvsExp(c BasePack, run_path string, model_id string, doPanic bool) (count int, err error) {
db := c.GetDb()
@ -161,23 +157,40 @@ func generateCvsExp(c BasePack, run_path string, model_id string, doPanic bool)
return
}
func trainDefinition(c BasePack, model *BaseModel, def Definition, load_prev bool) (accuracy float64, err error) {
func trainDefinition(c BasePack, model *BaseModel, definition_id string, load_prev bool) (accuracy float64, err error) {
l := c.GetLogger()
db := c.GetDb()
l.Warn("About to start training definition")
accuracy = 0
layers, err := def.GetLayers(c.GetDb(), " order by layer_order asc;")
layers, err := db.Query("select layer_type, shape from model_definition_layer where def_id=$1 order by layer_order asc;", definition_id)
if err != nil {
return
}
defer layers.Close()
for _, layer := range layers {
layer.ShapeToSize()
type layerrow struct {
LayerType int
Shape string
LayerNum int
}
got := []layerrow{}
i := 1
for layers.Next() {
var row = layerrow{}
if err = layers.Scan(&row.LayerType, &row.Shape); err != nil {
return
}
row.Shape = shapeToSize(row.Shape)
row.LayerNum = 1
got = append(got, row)
i = i + 1
}
// Generate run folder
run_path := path.Join("/tmp", model.Id, "defs", def.Id)
run_path := path.Join("/tmp", model.Id, "defs", definition_id)
err = os.MkdirAll(run_path, os.ModePerm)
if err != nil {
@ -202,17 +215,17 @@ func trainDefinition(c BasePack, model *BaseModel, def Definition, load_prev boo
}
// Copy result around
result_path := path.Join("savedData", model.Id, "defs", def.Id)
result_path := path.Join("savedData", model.Id, "defs", definition_id)
if err = tmpl.Execute(f, AnyMap{
"Layers": layers,
"Size": layers[0].Shape,
"Layers": got,
"Size": got[0].Shape,
"DataDir": path.Join(getDir(), "savedData", model.Id, "data"),
"RunPath": run_path,
"ColorMode": model.ImageMode,
"Model": model,
"EPOCH_PER_RUN": EPOCH_PER_RUN,
"DefId": def.Id,
"DefId": definition_id,
"LoadPrev": load_prev,
"LastModelRunPath": path.Join(getDir(), result_path, "model.keras"),
"SaveModelPath": path.Join(getDir(), result_path),
@ -339,7 +352,7 @@ func generateCvsExpandExp(c BasePack, run_path string, model_id string, offset i
return
}
func trainDefinitionExpandExp(c BasePack, model *BaseModel, def Definition, load_prev bool) (accuracy float64, err error) {
func trainDefinitionExpandExp(c BasePack, model *BaseModel, definition_id string, load_prev bool) (accuracy float64, err error) {
accuracy = 0
l := c.GetLogger()
@ -354,7 +367,7 @@ func trainDefinitionExpandExp(c BasePack, model *BaseModel, def Definition, load
}
// status = 2 (INIT) 3 (TRAINING)
heads, err := GetDbMultitple[ExpHead](c.GetDb(), "exp_model_head where def_id=$1 and (status = 2 or status = 3)", def.Id)
heads, err := GetDbMultitple[ExpHead](c.GetDb(), "exp_model_head where def_id=$1 and (status = 2 or status = 3)", definition_id)
if err != nil {
return
} else if len(heads) == 0 {
@ -373,49 +386,62 @@ func trainDefinitionExpandExp(c BasePack, model *BaseModel, def Definition, load
return
}
layers, err := def.GetLayers(c.GetDb(), " order by layer_order asc;")
layers, err := c.GetDb().Query("select layer_type, shape, exp_type from model_definition_layer where def_id=$1 order by layer_order asc;", definition_id)
if err != nil {
return
}
defer layers.Close()
var got []*Layer
type layerrow struct {
LayerType int
Shape string
ExpType int
LayerNum int
}
got := []layerrow{}
i := 1
var last *Layer = nil
var last *layerrow = nil
got_2 := false
var first *Layer = nil
var first *layerrow = nil
for _, layer := range layers {
layer.ShapeToSize()
for layers.Next() {
var row = layerrow{}
if err = layers.Scan(&row.LayerType, &row.Shape, &row.ExpType); err != nil {
return
}
// Keep track of the first layer so we can keep the size of the image
if first == nil {
first = layer
first = &row
}
if layer.ExpType == 2 {
row.LayerNum = i
row.Shape = shapeToSize(row.Shape)
if row.ExpType == 2 {
if !got_2 {
got = append(got, last)
got = append(got, *last)
got_2 = true
}
got = append(got, layer)
got = append(got, row)
}
last = layer
last = &row
i += 1
}
got = append(got, &Layer{
LayerType: LAYER_DENSE,
Shape: fmt.Sprintf("%d", exp.End-exp.Start+1),
ExpType: 2,
LayerOrder: len(got),
got = append(got, layerrow{
LayerType: LAYER_DENSE,
Shape: fmt.Sprintf("%d", exp.End-exp.Start+1),
ExpType: 2,
LayerNum: i,
})
l.Info("Got layers", "layers", got)
// Generate run folder
run_path := path.Join("/tmp", model.Id+"-defs-"+def.Id+"-retrain")
run_path := path.Join("/tmp", model.Id+"-defs-"+definition_id+"-retrain")
err = os.MkdirAll(run_path, os.ModePerm)
if err != nil {
@ -446,7 +472,7 @@ func trainDefinitionExpandExp(c BasePack, model *BaseModel, def Definition, load
}
// Copy result around
result_path := path.Join("savedData", model.Id, "defs", def.Id)
result_path := path.Join("savedData", model.Id, "defs", definition_id)
if err = tmpl.Execute(f, AnyMap{
"Layers": got,
@ -502,7 +528,7 @@ func trainDefinitionExpandExp(c BasePack, model *BaseModel, def Definition, load
return
}
func trainDefinitionExp(c BasePack, model *BaseModel, def Definition, load_prev bool) (accuracy float64, err error) {
func trainDefinitionExp(c BasePack, model *BaseModel, definition_id string, load_prev bool) (accuracy float64, err error) {
accuracy = 0
l := c.GetLogger()
db := c.GetDb()
@ -518,7 +544,7 @@ func trainDefinitionExp(c BasePack, model *BaseModel, def Definition, load_prev
}
// status = 2 (INIT) 3 (TRAINING)
heads, err := GetDbMultitple[ExpHead](db, "exp_model_head where def_id=$1 and (status = 2 or status = 3)", def.Id)
heads, err := GetDbMultitple[ExpHead](db, "exp_model_head where def_id=$1 and (status = 2 or status = 3)", definition_id)
if err != nil {
return
} else if len(heads) == 0 {
@ -536,24 +562,42 @@ func trainDefinitionExp(c BasePack, model *BaseModel, def Definition, load_prev
return
}
layers, err := def.GetLayers(db, " order by layer_order asc;")
layers, err := db.Query("select layer_type, shape, exp_type from model_definition_layer where def_id=$1 order by layer_order asc;", definition_id)
if err != nil {
return
}
defer layers.Close()
for _, layer := range layers {
layer.ShapeToSize()
type layerrow struct {
LayerType int
Shape string
ExpType int
LayerNum int
}
layers = append(layers, &Layer{
LayerType: LAYER_DENSE,
Shape: fmt.Sprintf("%d", exp.End-exp.Start+1),
ExpType: 2,
LayerOrder: len(layers),
got := []layerrow{}
i := 1
for layers.Next() {
var row = layerrow{}
if err = layers.Scan(&row.LayerType, &row.Shape, &row.ExpType); err != nil {
return
}
row.LayerNum = i
row.Shape = shapeToSize(row.Shape)
got = append(got, row)
i += 1
}
got = append(got, layerrow{
LayerType: LAYER_DENSE,
Shape: fmt.Sprintf("%d", exp.End-exp.Start+1),
ExpType: 2,
LayerNum: i,
})
// Generate run folder
run_path := path.Join("/tmp", model.Id+"-defs-"+def.Id)
run_path := path.Join("/tmp", model.Id+"-defs-"+definition_id)
err = os.MkdirAll(run_path, os.ModePerm)
if err != nil {
@ -580,11 +624,11 @@ func trainDefinitionExp(c BasePack, model *BaseModel, def Definition, load_prev
}
// Copy result around
result_path := path.Join("savedData", model.Id, "defs", def.Id)
result_path := path.Join("savedData", model.Id, "defs", definition_id)
if err = tmpl.Execute(f, AnyMap{
"Layers": layers,
"Size": layers[0].Shape,
"Layers": got,
"Size": got[0].Shape,
"DataDir": path.Join(getDir(), "savedData", model.Id, "data"),
"HeadId": exp.Id,
"RunPath": run_path,
@ -652,6 +696,21 @@ func remove[T interface{}](lst []T, i int) []T {
return append(lst[:i], lst[i+1:]...)
}
type TrainModelRow struct {
id string
target_accuracy int
epoch int
acuracy float64
}
type TraingModelRowDefinitions []TrainModelRow
func (nf TraingModelRowDefinitions) Len() int { return len(nf) }
func (nf TraingModelRowDefinitions) Swap(i, j int) { nf[i], nf[j] = nf[j], nf[i] }
func (nf TraingModelRowDefinitions) Less(i, j int) bool {
return nf[i].acuracy < nf[j].acuracy
}
type ToRemoveList []int
func (nf ToRemoveList) Len() int { return len(nf) }
@ -664,16 +723,30 @@ func trainModel(c BasePack, model *BaseModel) (err error) {
db := c.GetDb()
l := c.GetLogger()
defs_, err := model.GetDefinitions(db, "and md.status=$2", MODEL_DEFINITION_STATUS_INIT)
definitionsRows, err := db.Query("select id, target_accuracy, epoch from model_definition where status=$1 and model_id=$2", MODEL_DEFINITION_STATUS_INIT, model.Id)
if err != nil {
l.Error("Failed to train Model!", "err", err)
l.Error("Failed to train Model! Err:")
l.Error(err)
ModelUpdateStatus(c, model.Id, int(FAILED_TRAINING))
return
}
defer definitionsRows.Close()
var defs SortByAccuracyDefinitions = defs_
var definitions TraingModelRowDefinitions = []TrainModelRow{}
if len(defs) == 0 {
for definitionsRows.Next() {
var rowv TrainModelRow
rowv.acuracy = 0
if err = definitionsRows.Scan(&rowv.id, &rowv.target_accuracy, &rowv.epoch); err != nil {
l.Error("Failed to train Model Could not read definition from db!Err:")
l.Error(err)
ModelUpdateStatus(c, model.Id, int(FAILED_TRAINING))
return
}
definitions = append(definitions, rowv)
}
if len(definitions) == 0 {
l.Error("No Definitions defined!")
ModelUpdateStatus(c, model.Id, int(FAILED_TRAINING))
return
@ -684,29 +757,32 @@ func trainModel(c BasePack, model *BaseModel) (err error) {
for {
var toRemove ToRemoveList = []int{}
for i, def := range defs {
ModelDefinitionUpdateStatus(c, def.Id, MODEL_DEFINITION_STATUS_TRAINING)
accuracy, err := trainDefinition(c, model, *def, !firstRound)
for i, def := range definitions {
ModelDefinitionUpdateStatus(c, def.id, MODEL_DEFINITION_STATUS_TRAINING)
accuracy, err := trainDefinition(c, model, def.id, !firstRound)
if err != nil {
l.Error("Failed to train definition!Err:", "err", err)
ModelDefinitionUpdateStatus(c, def.Id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
ModelDefinitionUpdateStatus(c, def.id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
toRemove = append(toRemove, i)
continue
}
def.Epoch += EPOCH_PER_RUN
def.epoch += EPOCH_PER_RUN
accuracy = accuracy * 100
def.Accuracy = float64(accuracy)
def.acuracy = float64(accuracy)
if accuracy >= float64(def.TargetAccuracy) {
definitions[i].epoch += EPOCH_PER_RUN
definitions[i].acuracy = accuracy
if accuracy >= float64(def.target_accuracy) {
l.Info("Found a definition that reaches target_accuracy!")
_, err = db.Exec("update model_definition set accuracy=$1, status=$2, epoch=$3 where id=$4", accuracy, MODEL_DEFINITION_STATUS_TRANIED, def.Epoch, def.Id)
_, err = db.Exec("update model_definition set accuracy=$1, status=$2, epoch=$3 where id=$4", accuracy, MODEL_DEFINITION_STATUS_TRANIED, def.epoch, def.id)
if err != nil {
l.Error("Failed to train definition!Err:\n", "err", err)
ModelUpdateStatus(c, model.Id, int(FAILED_TRAINING))
return err
}
_, err = db.Exec("update model_definition set status=$1 where id!=$2 and model_id=$3 and status!=$4", MODEL_DEFINITION_STATUS_CANCELD_TRAINING, def.Id, model.Id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
_, err = db.Exec("update model_definition set status=$1 where id!=$2 and model_id=$3 and status!=$4", MODEL_DEFINITION_STATUS_CANCELD_TRAINING, def.id, model.Id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
if err != nil {
l.Error("Failed to train definition!Err:\n", "err", err)
ModelUpdateStatus(c, model.Id, int(FAILED_TRAINING))
@ -717,14 +793,14 @@ func trainModel(c BasePack, model *BaseModel) (err error) {
break
}
if def.Epoch > MAX_EPOCH {
fmt.Printf("Failed to train definition! Accuracy less %f < %d\n", accuracy, def.TargetAccuracy)
ModelDefinitionUpdateStatus(c, def.Id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
if def.epoch > MAX_EPOCH {
fmt.Printf("Failed to train definition! Accuracy less %f < %d\n", accuracy, def.target_accuracy)
ModelDefinitionUpdateStatus(c, def.id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
toRemove = append(toRemove, i)
continue
}
_, err = db.Exec("update model_definition set accuracy=$1, epoch=$2, status=$3 where id=$4", accuracy, def.Epoch, MODEL_DEFINITION_STATUS_PAUSED_TRAINING, def.Id)
_, err = db.Exec("update model_definition set accuracy=$1, epoch=$2, status=$3 where id=$4", accuracy, def.epoch, MODEL_DEFINITION_STATUS_PAUSED_TRAINING, def.id)
if err != nil {
l.Error("Failed to train definition!Err:\n", "err", err)
ModelUpdateStatus(c, model.Id, int(FAILED_TRAINING))
@ -742,26 +818,28 @@ func trainModel(c BasePack, model *BaseModel) (err error) {
l.Info("Round done", "toRemove", toRemove)
for _, n := range toRemove {
defs = remove(defs, n)
definitions = remove(definitions, n)
}
len_def := len(defs)
len_def := len(definitions)
if len_def == 0 {
break
} else if len_def == 1 {
}
if len_def == 1 {
continue
}
sort.Sort(sort.Reverse(defs))
sort.Sort(sort.Reverse(definitions))
acc := defs[0].Accuracy - 20.0
acc := definitions[0].acuracy - 20.0
l.Info("Training models, Highest acc", "acc", defs[0].Accuracy, "mod_acc", acc)
l.Info("Training models, Highest acc", "acc", definitions[0].acuracy, "mod_acc", acc)
toRemove = []int{}
for i, def := range defs {
if def.Accuracy < acc {
for i, def := range definitions {
if def.acuracy < acc {
toRemove = append(toRemove, i)
}
}
@ -771,8 +849,8 @@ func trainModel(c BasePack, model *BaseModel) (err error) {
sort.Sort(sort.Reverse(toRemove))
for _, n := range toRemove {
l.Warn("Removing definition not fast enough learning", "n", n)
ModelDefinitionUpdateStatus(c, defs[n].Id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
defs = remove(defs, n)
ModelDefinitionUpdateStatus(c, definitions[n].id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
definitions = remove(definitions, n)
}
}
@ -840,18 +918,33 @@ func trainModel(c BasePack, model *BaseModel) (err error) {
return
}
type TrainModelRowUsable struct {
Id string
TargetAccuracy int `db:"target_accuracy"`
Epoch int
Acuracy float64 `db:"0"`
}
type TrainModelRowUsables []*TrainModelRowUsable
func (nf TrainModelRowUsables) Len() int { return len(nf) }
func (nf TrainModelRowUsables) Swap(i, j int) { nf[i], nf[j] = nf[j], nf[i] }
func (nf TrainModelRowUsables) Less(i, j int) bool {
return nf[i].Acuracy < nf[j].Acuracy
}
func trainModelExp(c BasePack, model *BaseModel) (err error) {
l := c.GetLogger()
db := c.GetDb()
defs_, err := model.GetDefinitions(db, " and status=$2;", MODEL_DEFINITION_STATUS_INIT)
var definitions TrainModelRowUsables
definitions, err = GetDbMultitple[TrainModelRowUsable](db, "model_definition where status=$1 and model_id=$2", MODEL_DEFINITION_STATUS_INIT, model.Id)
if err != nil {
l.Error("Failed to get definitions")
return
}
var defs SortByAccuracyDefinitions = defs_
if len(defs) == 0 {
if len(definitions) == 0 {
l.Error("No Definitions defined!")
return errors.New("No Definitions found")
}
@ -861,9 +954,9 @@ func trainModelExp(c BasePack, model *BaseModel) (err error) {
for {
var toRemove ToRemoveList = []int{}
for i, def := range defs {
for i, def := range definitions {
ModelDefinitionUpdateStatus(c, def.Id, MODEL_DEFINITION_STATUS_TRAINING)
accuracy, err := trainDefinitionExp(c, model, *def, !firstRound)
accuracy, err := trainDefinitionExp(c, model, def.Id, !firstRound)
if err != nil {
l.Error("Failed to train definition!Err:", "err", err)
ModelDefinitionUpdateStatus(c, def.Id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
@ -872,10 +965,10 @@ func trainModelExp(c BasePack, model *BaseModel) (err error) {
}
def.Epoch += EPOCH_PER_RUN
accuracy = accuracy * 100
def.Accuracy = float64(accuracy)
def.Acuracy = float64(accuracy)
defs[i].Epoch += EPOCH_PER_RUN
defs[i].Accuracy = accuracy
definitions[i].Epoch += EPOCH_PER_RUN
definitions[i].Acuracy = accuracy
if accuracy >= float64(def.TargetAccuracy) {
l.Info("Found a definition that reaches target_accuracy!")
@ -925,10 +1018,10 @@ func trainModelExp(c BasePack, model *BaseModel) (err error) {
l.Info("Round done", "toRemove", toRemove)
for _, n := range toRemove {
defs = remove(defs, n)
definitions = remove(definitions, n)
}
len_def := len(defs)
len_def := len(definitions)
if len_def == 0 {
break
@ -936,14 +1029,14 @@ func trainModelExp(c BasePack, model *BaseModel) (err error) {
continue
}
sort.Sort(sort.Reverse(defs))
acc := defs[0].Accuracy - 20.0
sort.Sort(sort.Reverse(definitions))
acc := definitions[0].Acuracy - 20.0
l.Info("Training models, Highest acc", "acc", defs[0].Accuracy, "mod_acc", acc)
l.Info("Training models, Highest acc", "acc", definitions[0].Acuracy, "mod_acc", acc)
toRemove = []int{}
for i, def := range defs {
if def.Accuracy < acc {
for i, def := range definitions {
if def.Acuracy < acc {
toRemove = append(toRemove, i)
}
}
@ -953,8 +1046,8 @@ func trainModelExp(c BasePack, model *BaseModel) (err error) {
sort.Sort(sort.Reverse(toRemove))
for _, n := range toRemove {
l.Warn("Removing definition not fast enough learning", "n", n)
ModelDefinitionUpdateStatus(c, defs[n].Id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
defs = remove(defs, n)
ModelDefinitionUpdateStatus(c, definitions[n].Id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
definitions = remove(definitions, n)
}
}
@ -969,12 +1062,6 @@ func trainModelExp(c BasePack, model *BaseModel) (err error) {
return err
}
err = model.UpdateStatus(db, FAILED_TRAINING)
if err != nil {
l.Error("All definitions failed to train! And Failed to set model status")
return err
}
l.Error("All definitions failed to train!")
return err
} else if err != nil {
@ -1003,7 +1090,7 @@ func trainModelExp(c BasePack, model *BaseModel) (err error) {
return err
}
if err = SplitModel(c, model); err != nil {
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 {
l.Error("Failed to split the model! And Failed to set class status")
@ -1036,7 +1123,7 @@ func trainModelExp(c BasePack, model *BaseModel) (err error) {
return
}
func SplitModel(c BasePack, model *BaseModel) (err error) {
func splitModel(c BasePack, model *BaseModel) (err error) {
db := c.GetDb()
l := c.GetLogger()
@ -1173,6 +1260,7 @@ func generateDefinition(c BasePack, model *BaseModel, target_accuracy int, numbe
}
db := c.GetDb()
l := c.GetLogger()
def, err := MakeDefenition(db, model.Id, target_accuracy)
if err != nil {
@ -1191,35 +1279,67 @@ func generateDefinition(c BasePack, model *BaseModel, target_accuracy int, numbe
}
order++
loop := max(1, int(math.Ceil((math.Log(float64(model.Width))/math.Log(float64(10)))))+1)
for i := 0; i < loop; i++ {
_, err = def.MakeLayer(db, order, LAYER_SIMPLE_BLOCK, "")
order++
if complexity == 0 {
/*
_, err = def.MakeLayer(db, order, LAYER_SIMPLE_BLOCK, "")
if err != nil {
failed()
return
}
order++
*/
_, err = def.MakeLayer(db, order, LAYER_FLATTEN, "")
if err != nil {
failed()
return
}
}
order++
_, err = def.MakeLayer(db, order, LAYER_FLATTEN, "")
if err != nil {
loop := int(math.Log2(float64(number_of_classes)))
for i := 0; i < loop; i++ {
_, err = def.MakeLayer(db, order, LAYER_DENSE, ShapeToString(number_of_classes*(loop-i)))
order++
if err != nil {
ModelUpdateStatus(c, model.Id, FAILED_PREPARING_TRAINING)
return
}
}
} else if complexity == 1 || complexity == 2 {
loop := max(1, int((math.Log(float64(model.Width)) / math.Log(float64(10)))))
for i := 0; i < loop; i++ {
_, err = def.MakeLayer(db, order, LAYER_SIMPLE_BLOCK, "")
order++
if err != nil {
failed()
return
}
}
_, err = def.MakeLayer(db, order, LAYER_FLATTEN, "")
if err != nil {
failed()
return
}
order++
loop = int((math.Log(float64(number_of_classes)) / math.Log(float64(10))) / 2)
if loop == 0 {
loop = 1
}
for i := 0; i < loop; i++ {
_, err = def.MakeLayer(db, order, LAYER_DENSE, ShapeToString(number_of_classes*(loop-i)))
order++
if err != nil {
failed()
return
}
}
} else {
l.Error("Unkown complexity", "complexity", complexity)
failed()
return
}
order++
loop = int((math.Log(float64(number_of_classes)) / math.Log(float64(10))) / 2)
if loop == 0 {
loop = 1
}
for i := 0; i < loop; i++ {
_, err = def.MakeLayer(db, order, LAYER_DENSE, ShapeToString(number_of_classes*(loop-i)))
order++
if err != nil {
failed()
return
}
}
return def.UpdateStatus(db, DEFINITION_STATUS_INIT)
}
@ -1290,16 +1410,29 @@ func generateExpandableDefinition(c BasePack, model *BaseModel, target_accuracy
order := 1
err = MakeLayerExpandable(c.GetDb(), def_id, order, LAYER_INPUT, ShapeToString(3, model.Width, model.Height), 1)
width := model.Width
height := model.Height
// Note the shape of the first layer defines the import size
if complexity == 2 {
// Note the shape for now is no used
width := int(math.Pow(2, math.Floor(math.Log(float64(model.Width))/math.Log(2.0))))
height := int(math.Pow(2, math.Floor(math.Log(float64(model.Height))/math.Log(2.0))))
l.Warn("Complexity 2 creating model with smaller size", "width", width, "height", height)
}
err = MakeLayerExpandable(c.GetDb(), def_id, order, LAYER_INPUT, fmt.Sprintf("%d,%d,1", width, height), 1)
order++
// handle the errors inside the pervious if block
if err != nil {
failed()
return
}
order++
// Create the blocks
loop := int(math.Ceil((math.Log(float64(model.Width)) / math.Log(float64(10))))) + 1
loop := int((math.Log(float64(model.Width)) / math.Log(float64(10))))
/*if model.Width < 50 && model.Height < 50 {
loop = 0
@ -1307,7 +1440,7 @@ func generateExpandableDefinition(c BasePack, model *BaseModel, target_accuracy
log.Info("Size of the simple block", "loop", loop)
loop = max(loop, min(2, model.ImageMode))
//loop = max(loop, 3)
for i := 0; i < loop; i++ {
err = MakeLayerExpandable(db, def_id, order, LAYER_SIMPLE_BLOCK, "", 1)
@ -1327,7 +1460,7 @@ func generateExpandableDefinition(c BasePack, model *BaseModel, target_accuracy
order++
// Flatten the blocks into dense
err = MakeLayerExpandable(db, def_id, order, LAYER_DENSE, ShapeToString(number_of_classes*2), 1)
err = MakeLayerExpandable(db, def_id, order, LAYER_DENSE, fmt.Sprintf("%d,1", number_of_classes*2), 1)
if err != nil {
failed()
return
@ -1341,7 +1474,7 @@ func generateExpandableDefinition(c BasePack, model *BaseModel, target_accuracy
loop = max(loop, 3)
for i := 0; i < loop; i++ {
err = MakeLayerExpandable(db, def_id, order, LAYER_DENSE, ShapeToString(number_of_classes*(loop-i)*2), 2)
err = MakeLayerExpandable(db, def_id, order, LAYER_DENSE, fmt.Sprintf("%d,1", number_of_classes*(loop-i)*2), 2)
order++
if err != nil {
failed()
@ -1424,31 +1557,31 @@ func trainExpandable(c *Context, model *BaseModel) {
ResetClasses(c, model)
}
defs_, err := model.GetDefinitions(c, " and status=$2", MODEL_DEFINITION_STATUS_READY)
var definitions TrainModelRowUsables
definitions, err = GetDbMultitple[TrainModelRowUsable](c, "model_definition where status=$1 and model_id=$2", MODEL_DEFINITION_STATUS_READY, model.Id)
if err != nil {
failed("Failed to get definitions")
return
}
var defs SortByAccuracyDefinitions = defs_
if len(defs) != 1 {
if len(definitions) != 1 {
failed("There should only be one definition available!")
return
}
firstRound := true
def := defs[0]
def := definitions[0]
epoch := 0
for {
acc, err := trainDefinitionExp(c, model, *def, !firstRound)
acc, err := trainDefinitionExp(c, model, def.Id, !firstRound)
if err != nil {
failed("Failed to train definition!")
return
}
epoch += EPOCH_PER_RUN
if float64(acc*100) >= float64(def.Accuracy) {
if float64(acc*100) >= float64(def.Acuracy) {
c.Logger.Info("Found a definition that reaches target_accuracy!")
_, err = c.Db.Exec("update exp_model_head set status=$1 where def_id=$2 and status=$3;", MODEL_HEAD_STATUS_READY, def.Id, MODEL_HEAD_STATUS_TRAINING)
@ -1553,18 +1686,22 @@ func RunTaskRetrain(b BasePack, task Task) (err error) {
task.UpdateStatusLog(b, TASK_RUNNING, "Model retraining")
defs, err := model.GetDefinitions(db, "")
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 {
failed()
return
}
def := *defs[0]
failed = func() {
ResetClasses(b, model)
ModelUpdateStatus(b, model.Id, READY_RETRAIN_FAILED)
task.UpdateStatusLog(b, TASK_FAILED_RUNNING, "Model failed retraining")
_, err_ := db.Exec("delete from exp_model_head where def_id=$1 and status in (2,3)", def.Id)
_, err_ := db.Exec("delete from exp_model_head where def_id=$1 and status in (2,3)", defData.Id)
if err_ != nil {
panic(err_)
}
@ -1575,21 +1712,21 @@ func RunTaskRetrain(b BasePack, task Task) (err error) {
var epocs = 0
// TODO make max epochs come from db
// TODO re increase the target accuracy
for acc*100 < float64(def.TargetAccuracy)-5 && epocs < 10 {
for acc*100 < defData.TargetAcuuracy-5 && epocs < 10 {
// This is something I have to check
acc, err = trainDefinitionExpandExp(b, model, def, epocs > 0)
acc, err = trainDefinitionExpandExp(b, model, defData.Id, epocs > 0)
if err != nil {
failed()
return
}
l.Info("Retrained model", "accuracy", acc, "target", def.TargetAccuracy)
l.Info("Retrained model", "accuracy", acc, "target", defData.TargetAcuuracy)
epocs += 1
}
if acc*100 < float64(def.TargetAccuracy)-5 {
l.Error("Model never achived targetd accuracy", "acc", acc*100, "target", def.TargetAccuracy)
if acc*100 < defData.TargetAcuuracy {
l.Error("Model never achived targetd accuracy", "acc", acc*100, "target", defData.TargetAcuuracy)
failed()
return
}
@ -1610,13 +1747,6 @@ func RunTaskRetrain(b BasePack, task Task) (err error) {
return
}
_, err = db.Exec("update exp_model_head set status=$1 where status=$2 and def_id=$3", MODEL_HEAD_STATUS_READY, MODEL_HEAD_STATUS_TRAINING, def.Id)
if err != nil {
l.Error("Error while updating the classes", "error", err)
failed()
return
}
task.UpdateStatusLog(b, TASK_DONE, "Model finished retraining")
return

View File

@ -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
}

7
logic/tasks/README.md Normal file
View File

@ -0,0 +1,7 @@
# Runner Protocol
```
/----\
\/ |
Register -> Init -> Active ---> Ready -> Info
```

View File

@ -9,5 +9,4 @@ func HandleTasks(handle *Handle) {
handleList(handle)
handleRequests(handle)
handleRemoteRunner(handle)
handleRunnerData(handle)
}

View File

@ -1,8 +1,6 @@
package tasks
import (
"os"
"path"
"sync"
"time"
@ -10,7 +8,6 @@ import (
. "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) {
@ -35,12 +32,6 @@ type VerifyTask struct {
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()
@ -60,18 +51,6 @@ func verifyTask(x *Handle, c *Context, dat *VerifyTask) (task *Task, error *Erro
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 {
@ -221,10 +200,6 @@ func handleRemoteRunner(x *Handle) {
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")
}
@ -243,7 +218,7 @@ func handleRemoteRunner(x *Handle) {
return c.SendJSON("Ok")
})
PostAuthJson(x, "/tasks/runner/defs", User_Normal, func(c *Context, dat *VerifyTask) *Error {
PostAuthJson(x, "/tasks/runner/train/defs", User_Normal, func(c *Context, dat *VerifyTask) *Error {
_, error := verifyRunner(c, &JustId{Id: dat.Id})
if error != nil {
return error
@ -254,15 +229,7 @@ func handleRemoteRunner(x *Handle) {
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:
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")
}
@ -272,7 +239,7 @@ func handleRemoteRunner(x *Handle) {
return c.E500M("Failed to get model information", err)
}
defs, err := model.GetDefinitions(c, "and md.status=$2", status)
defs, err := model.GetDefinitions(c, "and md.status=$2", DEFINITION_STATUS_INIT)
if err != nil {
return c.E500M("Failed to get the model definitions", err)
}
@ -280,7 +247,7 @@ func handleRemoteRunner(x *Handle) {
return c.SendJSON(defs)
})
PostAuthJson(x, "/tasks/runner/classes", User_Normal, func(c *Context, dat *VerifyTask) *Error {
PostAuthJson(x, "/tasks/runner/train/classes", User_Normal, func(c *Context, dat *VerifyTask) *Error {
_, error := verifyRunner(c, &JustId{Id: dat.Id})
if error != nil {
return error
@ -291,35 +258,22 @@ func handleRemoteRunner(x *Handle) {
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 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")
classes, err := model.GetClasses(c, "and status=$2 order by mc.class_order asc", CLASS_STATUS_TO_TRAIN)
if err != nil {
return c.E500M("Failed to get the model classes", err)
}
return c.SendJSON(classes)
})
type RunnerTrainDefStatus struct {
@ -357,13 +311,12 @@ func handleRemoteRunner(x *Handle) {
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"`
type RunnerTrainDefLayers struct {
Id string `json:"id" validate:"required"`
TaskId string `json:"taskId" validate:"required"`
DefId string `json:"defId" validate:"required"`
}
PostAuthJson(x, "/tasks/runner/train/def/head/status", User_Normal, func(c *Context, dat *RunnerTrainDefHeadStatus) *Error {
PostAuthJson(x, "/tasks/runner/train/def/layers", User_Normal, func(c *Context, dat *RunnerTrainDefLayers) *Error {
_, error := verifyRunner(c, &JustId{Id: dat.Id})
if error != nil {
return error
@ -384,69 +337,6 @@ func handleRemoteRunner(x *Handle) {
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)
@ -466,12 +356,7 @@ func handleRemoteRunner(x *Handle) {
return error
}
switch task.TaskType {
case int(TASK_TYPE_TRAINING):
// DO nothing
case int(TASK_TYPE_RETRAINING):
// DO nothing
default:
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")
}
@ -498,463 +383,4 @@ func handleRemoteRunner(x *Handle) {
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")
})
}

View File

@ -19,8 +19,6 @@ import (
. "git.andr3h3nriqu3s.com/andr3/fyp/logic/utils"
)
var QUEUE_SIZE = 10
/**
* Actually runs the code
*/
@ -49,28 +47,17 @@ 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)
}
if count == QUEUE_SIZE {
back_channel <- index
count = 0
} else {
count += 1
}
back_channel <- index
continue
} else if task.TaskType == int(TASK_TYPE_TRAINING) {
logger.Info("Training Task")
@ -78,12 +65,7 @@ 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
}
back_channel <- index
continue
} else if task.TaskType == int(TASK_TYPE_RETRAINING) {
logger.Info("Retraining Task")
@ -91,12 +73,7 @@ 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
}
back_channel <- index
continue
} else if task.TaskType == int(TASK_TYPE_DELETE_USER) {
logger.Warn("User deleting Task")
@ -104,23 +81,13 @@ 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
}
back_channel <- index
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
}
back_channel <- index
}
}
@ -153,22 +120,10 @@ func handleRemoteTask(handler *Handle, base BasePack, runner_id string, task Tas
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")
@ -178,7 +133,7 @@ func handleRemoteTask(handler *Handle, base BasePack, runner_id string, task Tas
/**
* 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 +158,6 @@ 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)
}
}
@ -232,7 +173,9 @@ func RunnerOrchestrator(db db.Db, config Config, handler *Handle) {
Prefix: "Runner Orchestrator Logger",
})
setupHandle(handler)
// Setup vars
handler.DataMap["runners"] = map[string]interface{}{}
handler.DataMap["runners_mutex"] = &sync.Mutex{}
base := BasePackStruct{
Db: db,
@ -241,22 +184,17 @@ func RunnerOrchestrator(db db.Db, config Config, handler *Handle) {
}
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])
}
@ -265,120 +203,87 @@ func RunnerOrchestrator(db db.Db, config Config, handler *Handle) {
}
}()
// 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_used[i] = 0
AddLocalRunner(handler, LocalRunner{
RunnerNum: i + 1,
Task: nil,
})
task_runners[i] = make(chan Task, 10)
task_runners_used[i] = false
go runner(config, db, task_runners[i], i+1, back_channel)
}
used := 0
wait := time.Nanosecond * 100
for {
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
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
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
}
var task_to_dispatch *Task = nil
for i := range back_channel {
if i > 0 {
logger.Info("Runner freed", "runner", i)
task_runners_used[i-1] = false
} else if i < 0 {
logger.Error("Runner died! Restarting!", "runner", i)
i = int(math.Abs(float64(i)) - 1)
task_runners_used[i] = false
go runner(config, db, task_runners[i], i+1, back_channel)
}
for {
tasks, err := GetDbMultitple[TaskT](db, "tasks as t "+
if task_to_dispatch == nil {
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 {
break
if err == NotFoundError {
task_to_dispatch = nil
} else {
temp := Task(task)
task_to_dispatch = &temp
}
}
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{})
if task_to_dispatch != nil {
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)
// Only let CPU tasks be done by the local users
if task_to_dispatch.TaskType == int(TASK_TYPE_DELETE_USER) {
for i := 0; i < len(task_runners_used); i += 1 {
if !task_runners_used[i] {
task_runners[i] <- *task_to_dispatch
task_runners_used[i] = true
task_to_dispatch = nil
break
}
}
continue
}
mutex.Unlock()
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
}
used = 0
if task_to_dispatch != nil {
for i := 0; i < len(task_runners_used); i += 1 {
if task_runners_used[i] <= QUEUE_SIZE {
ttd.UpdateStatusLog(base, TASK_QUEUED, "Runner picked up task")
task_runners[i] <- ttd
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) {
if runner_info.UserId == task_to_dispatch.UserId {
go handleRemoteTask(handler, base, k, *task_to_dispatch)
task_to_dispatch = nil
break
}
}
if used == len(task_runners_used) {
break
}
mutex.Unlock()
}
}
}

View File

@ -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
}

View File

@ -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),
})
})
}

View File

@ -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))
}
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)
_, err = base.GetDb().Exec("update tasks set result=$1 where id=$2", text, t.Id)
return
}

View File

@ -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"`

View File

@ -23,12 +23,7 @@ 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"`
MaxConnections int `toml:"max_connections"`
}
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
}
}

View File

@ -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,
})

15
main.go
View File

@ -15,18 +15,25 @@ import (
. "git.andr3h3nriqu3s.com/andr3/fyp/logic/utils"
)
func main() {
const (
host = "localhost"
port = 5432
user = "postgres"
password = "verysafepassword"
dbname = "aistuff"
)
config := LoadConfig()
log.Info("Config loaded!", "config", config)
func main() {
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)
//TODO check if file structure exists to save data

View File

@ -1,6 +1,6 @@
events {
worker_connections 2024;
worker_connections 1024;
}
http {
@ -17,7 +17,7 @@ http {
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;
}
}
}

View File

@ -1,4 +1,5 @@
tensorflow[and-cuda] == 2.15.1
# tensorflow[and-cuda] == 2.15.1
tensorflow[and-cuda] == 2.9.1
pandas
# Make sure to install the nvidia pyindex first
# nvidia-pyindex

2
run.sh
View File

@ -1,2 +1,2 @@
#!/bin/bash
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

1
runner/.gitignore vendored Normal file
View File

@ -0,0 +1 @@
target/

1936
runner/Cargo.lock generated Normal file

File diff suppressed because it is too large Load Diff

17
runner/Cargo.toml Normal file
View File

@ -0,0 +1,17 @@
[package]
name = "runner"
version = "0.1.0"
edition = "2021"
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[dependencies]
anyhow = "1.0.82"
serde = { version = "1.0.200", features = ["derive"] }
toml = "0.8.12"
reqwest = { version = "0.12", features = ["json"] }
tokio = { version = "1", features = ["full"] }
serde_json = "1.0.116"
serde_repr = "0.1"
tch = { version = "0.16.0", features = ["download-libtorch"] }
rand = "0.8.5"

12
runner/Dockerfile Normal file
View File

@ -0,0 +1,12 @@
FROM docker.io/nvidia/cuda:11.7.1-devel-ubuntu22.04
RUN apt-get update
RUN apt-get install -y curl
RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
ENV PATH="$PATH:/root/.cargo/bin"
RUN rustup toolchain install stable
RUN apt-get install -y pkg-config libssl-dev
WORKDIR /app

3
runner/config.toml Normal file
View File

@ -0,0 +1,3 @@
hostname = "https://testing.andr3h3nriqu3s.com/api"
token = "d2bc41e8293937bcd9397870c98f97acc9603f742924b518e193cd1013e45d57897aa302b364001c72b458afcfb34239dfaf38a66b318e5cbc973eea"
data_path = "/home/andr3/Documents/my-repos/fyp"

1
runner/data.toml Normal file
View File

@ -0,0 +1 @@
id = "a7cec9e9-1d05-4633-8bc5-6faabe4fd5a3"

2
runner/run.sh Executable file
View File

@ -0,0 +1,2 @@
#!/bin/bash
podman run --rm --network host --gpus all -ti -v $(pwd):/app -e "TERM=xterm-256color" fyp-runner bash

115
runner/src/dataloader.rs Normal file
View File

@ -0,0 +1,115 @@
use crate::{model::DataPoint, settings::ConfigFile};
use std::{path::Path, sync::Arc};
use tch::Tensor;
pub struct DataLoader {
pub batch_size: i64,
pub len: usize,
pub inputs: Vec<Tensor>,
pub labels: Vec<Tensor>,
pub pos: usize,
}
fn import_image(
item: &DataPoint,
base_path: &Path,
classes_len: i64,
inputs: &mut Vec<Tensor>,
labels: &mut Vec<Tensor>,
) {
inputs.push(
tch::vision::image::load(base_path.join(&item.path))
.ok()
.unwrap()
.unsqueeze(0),
);
if item.class >= 0 {
let t = tch::Tensor::from_slice(&[item.class]).onehot(classes_len as i64);
labels.push(t);
} else {
labels.push(tch::Tensor::zeros(
[1, classes_len as i64],
(tch::Kind::Float, tch::Device::Cpu),
))
}
}
impl DataLoader {
pub fn new(
config: Arc<ConfigFile>,
data: Vec<DataPoint>,
classes_len: i64,
batch_size: i64,
) -> DataLoader {
let len: f64 = (data.len() as f64) / (batch_size as f64);
let min_len: i64 = len.floor() as i64;
let max_len: i64 = len.ceil() as i64;
println!(
"Creating dataloader data len: {} len: {} min_len: {} max_len:{}",
data.len(),
len,
min_len,
max_len
);
let base_path = Path::new(&config.data_path);
let mut inputs: Vec<Tensor> = Vec::new();
let mut all_labels: Vec<Tensor> = Vec::new();
for batch in 0..min_len {
let mut batch_acc: Vec<Tensor> = Vec::new();
let mut labels: Vec<Tensor> = Vec::new();
for image in 0..batch_size {
let i: usize = (batch * batch_size + image).try_into().unwrap();
let item = &data[i];
import_image(item, base_path, classes_len, &mut batch_acc, &mut labels)
}
inputs.push(tch::Tensor::cat(&batch_acc[0..], 0));
all_labels.push(tch::Tensor::cat(&labels[0..], 0));
}
// Import the last batch that has irregular sizing
if min_len != max_len {
let mut batch_acc: Vec<Tensor> = Vec::new();
let mut labels: Vec<Tensor> = Vec::new();
for image in 0..(data.len() - (batch_size * min_len) as usize) {
let i: usize = (min_len * batch_size + (image as i64)) as usize;
let item = &data[i];
import_image(item, base_path, classes_len, &mut batch_acc, &mut labels);
}
inputs.push(tch::Tensor::cat(&batch_acc[0..], 0));
all_labels.push(tch::Tensor::cat(&labels[0..], 0));
}
println!("ins shape: {:?}", inputs[0].size());
return DataLoader {
batch_size,
inputs,
labels: all_labels,
len: max_len as usize,
pos: 0,
};
}
pub fn restart(self: &mut DataLoader) {
self.pos = 0;
}
pub fn next(self: &mut DataLoader) -> Option<(Tensor, Tensor)> {
if self.pos >= self.len {
return None;
}
let input = self.inputs[self.pos].empty_like();
self.inputs[self.pos] = self.inputs[self.pos].clone(&input);
let label = self.labels[self.pos].empty_like();
self.labels[self.pos] = self.labels[self.pos].clone(&label);
self.pos += 1;
return Some((input, label));
}
}

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mod dataloader;
mod model;
mod settings;
mod tasks;
mod training;
mod types;
use crate::settings::*;
use crate::tasks::{fail_task, Task, TaskType};
use crate::training::handle_train;
use anyhow::{bail, Result};
use reqwest::StatusCode;
use serde_json::json;
use std::{fs, process::exit, sync::Arc, time::Duration};
enum ResultAlive {
Ok,
Error,
NotInit,
}
async fn send_keep_alive_message(
config: Arc<ConfigFile>,
runner_data: Arc<RunnerData>,
) -> ResultAlive {
let client = reqwest::Client::new();
let to_send = json!({
"id": runner_data.id,
});
let resp = client
.post(format!("{}/tasks/runner/beat", config.hostname))
.header("token", &config.token)
.body(to_send.to_string())
.send()
.await;
if resp.is_err() {
return ResultAlive::Error;
}
let resp = resp.ok();
if resp.is_none() {
return ResultAlive::Error;
}
let resp = resp.unwrap();
// TODO see if the message is related to not being inited
if resp.status() != 200 {
println!("Could not connect with the status");
return ResultAlive::Error;
}
ResultAlive::Ok
}
async fn keep_alive(config: Arc<ConfigFile>, runner_data: Arc<RunnerData>) -> Result<()> {
let mut failed = 0;
loop {
match send_keep_alive_message(config.clone(), runner_data.clone()).await {
ResultAlive::Error => failed += 1,
ResultAlive::NotInit => {
println!("Runner not inited! Restarting!");
exit(1)
}
ResultAlive::Ok => failed = 0,
}
// TODO move to config
if failed > 20 {
println!("Failed to connect to API! More than 20 times in a row stoping");
exit(1)
}
tokio::time::sleep(Duration::from_secs(1)).await;
}
}
async fn handle_task(
task: Task,
config: Arc<ConfigFile>,
runner_data: Arc<RunnerData>,
) -> Result<()> {
let res = match task.task_type {
TaskType::Training => handle_train(&task, config.clone(), runner_data.clone()).await,
_ => {
println!("Do not know how to handle this task #{:?}", task);
bail!("Failed")
}
};
if res.is_err() {
println!("task failed #{:?}", res);
fail_task(
&task,
config,
runner_data,
"Do not know how to handle this kind of task",
)
.await?
}
Ok(())
}
#[tokio::main]
async fn main() -> Result<()> {
// Load config file
let config_data = fs::read_to_string("./config.toml")?;
let mut config: ConfigFile = toml::from_str(&config_data)?;
let client = reqwest::Client::new();
if config.config_path == None {
config.config_path = Some(String::from("./data.toml"))
}
let runner_data: RunnerData = load_runner_data(&config).await?;
let to_send = json!({
"id": runner_data.id,
});
// Inform the server that the runner is available
let resp = client
.post(format!("{}/tasks/runner/init", config.hostname))
.header("token", &config.token)
.body(to_send.to_string())
.send()
.await?;
if resp.status() != 200 {
println!(
"Could not connect with the api: status {} body {}",
resp.status(),
resp.text().await?
);
return Ok(());
}
let res = resp.json::<String>().await?;
if res != "Ok" {
print!("Unexpected problem: {}", res);
return Ok(());
}
let config = Arc::new(config);
let runner_data = Arc::new(runner_data);
let config_alive = config.clone();
let runner_data_alive = runner_data.clone();
std::thread::spawn(move || keep_alive(config_alive.clone(), runner_data_alive.clone()));
println!("Started main loop");
loop {
//TODO move time to config
tokio::time::sleep(Duration::from_secs(1)).await;
let to_send = json!({ "id": runner_data.id });
let resp = client
.post(format!("{}/tasks/runner/active", config.hostname))
.header("token", &config.token)
.body(to_send.to_string())
.send()
.await;
if resp.is_err() || resp.as_ref().ok().is_none() {
println!("Failed to get info from server {:?}", resp);
continue;
}
let resp = resp?;
match resp.status() {
// No active task
StatusCode::NOT_FOUND => (),
StatusCode::OK => {
println!("Found task!");
let task: Result<Task, reqwest::Error> = resp.json().await;
if task.is_err() || task.as_ref().ok().is_none() {
println!("Failed to resolve the json {:?}", task);
continue;
}
let task = task?;
let res = handle_task(task, config.clone(), runner_data.clone()).await;
if res.is_err() || res.as_ref().ok().is_none() {
println!("Failed to run the task");
}
_ = res;
()
}
_ => {
println!("Unexpected error #{:?}", resp);
exit(1)
}
}
}
}

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use anyhow::bail;
use serde::{Deserialize, Serialize};
use serde_repr::{Deserialize_repr, Serialize_repr};
use tch::{
nn::{self, Module},
Device,
};
#[derive(Debug)]
pub struct Model {
pub vs: nn::VarStore,
pub seq: nn::Sequential,
pub layers: Vec<Layer>,
}
#[derive(Debug, Clone, Copy, Serialize_repr, Deserialize_repr)]
#[repr(i8)]
pub enum LayerType {
Input = 1,
Dense = 2,
Flatten = 3,
SimpleBlock = 4,
}
#[derive(Debug, Serialize, Deserialize)]
pub struct Layer {
pub id: String,
pub definition_id: String,
pub layer_order: String,
pub layer_type: LayerType,
pub shape: String,
pub exp_type: String,
}
#[derive(Debug, Serialize, Deserialize)]
pub struct DataPoint {
pub class: i64,
pub path: String,
}
pub fn build_model(layers: Vec<Layer>, last_linear_size: i64, add_sigmoid: bool) -> Model {
let vs = nn::VarStore::new(Device::Cuda(0));
let mut seq = nn::seq();
let mut last_linear_size = last_linear_size;
let mut last_linear_conv: Vec<i64> = Vec::new();
for layer in layers.iter() {
match layer.layer_type {
LayerType::Input => {
last_linear_conv = serde_json::from_str(&layer.shape).ok().unwrap();
println!("Layer: Input, In: {:?}", last_linear_conv);
}
LayerType::Dense => {
let shape: Vec<i64> = serde_json::from_str(&layer.shape).ok().unwrap();
println!("Layer: Dense, In: {}, Out: {}", last_linear_size, shape[0]);
seq = seq
.add(nn::linear(
&vs.root(),
last_linear_size,
shape[0],
Default::default(),
))
.add_fn(|xs| xs.relu());
last_linear_size = shape[0];
}
LayerType::Flatten => {
seq = seq.add_fn(|xs| xs.flatten(1, -1));
last_linear_size = 1;
for i in &last_linear_conv {
last_linear_size *= i;
}
println!(
"Layer: flatten, In: {:?}, Out: {}",
last_linear_conv, last_linear_size
)
}
LayerType::SimpleBlock => {
let new_last_linear_conv =
vec![128, last_linear_conv[1] / 2, last_linear_conv[2] / 2];
println!(
"Layer: block, In: {:?}, Put: {:?}",
last_linear_conv, new_last_linear_conv,
);
let out_size = vec![new_last_linear_conv[1], new_last_linear_conv[2]];
seq = seq
.add(nn::conv2d(
&vs.root(),
last_linear_conv[0],
128,
3,
nn::ConvConfig::default(),
))
.add_fn(|xs| xs.relu())
.add(nn::conv2d(
&vs.root(),
128,
128,
3,
nn::ConvConfig::default(),
))
.add_fn(|xs| xs.relu())
.add_fn(move |xs| xs.adaptive_avg_pool2d([out_size[1], out_size[1]]))
.add_fn(|xs| xs.leaky_relu());
//m_layers = append(m_layers, NewSimpleBlock(vs, lastLinearConv[0]))
last_linear_conv = new_last_linear_conv;
}
}
}
if add_sigmoid {
seq = seq.add_fn(|xs| xs.sigmoid());
}
return Model { vs, layers, seq };
}

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use anyhow::{bail, Result};
use serde::{Deserialize, Serialize};
use serde_json::json;
use std::{fs, path};
#[derive(Deserialize)]
pub struct ConfigFile {
// Hostname to connect with the api
pub hostname: String,
// Token used in the api to authenticate
pub token: String,
// Path to where to store some generated configuration values
// defaults to ./data.toml
pub config_path: Option<String>,
// Data Path
// Path to where the data is mounted
pub data_path: String,
}
#[derive(Deserialize, Serialize)]
pub struct RunnerData {
pub id: String,
}
pub async fn load_runner_data(config: &ConfigFile) -> Result<RunnerData> {
let data_path = config.config_path.as_ref().unwrap();
let data_path = path::Path::new(&*data_path);
if data_path.exists() {
let runner_data = fs::read_to_string(data_path)?;
Ok(toml::from_str(&runner_data)?)
} else {
let client = reqwest::Client::new();
let to_send = json!({
"token": config.token,
"type": 1,
});
let register_resp = client
.post(format!("{}/tasks/runner/register", config.hostname))
.header("token", &config.token)
.body(to_send.to_string())
.send()
.await?;
if register_resp.status() != 200 {
bail!(format!("Could not create runner {:#?}", register_resp));
}
let runner_data: RunnerData = register_resp.json().await?;
fs::write(data_path, toml::to_string(&runner_data)?)
.expect("Faield to save data for runner");
Ok(runner_data)
}
}

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use std::sync::Arc;
use anyhow::{bail, Result};
use serde::Deserialize;
use serde_json::json;
use serde_repr::Deserialize_repr;
use crate::{ConfigFile, RunnerData};
#[derive(Clone, Copy, Deserialize_repr, Debug)]
#[repr(i8)]
pub enum TaskStatus {
FailedRunning = -2,
FailedCreation = -1,
Preparing = 0,
Todo = 1,
PickedUp = 2,
Running = 3,
Done = 4,
}
#[derive(Clone, Copy, Deserialize_repr, Debug)]
#[repr(i8)]
pub enum TaskType {
Classification = 1,
Training = 2,
Retraining = 3,
DeleteUser = 4,
}
#[derive(Deserialize, Debug)]
pub struct Task {
pub id: String,
pub user_id: String,
pub model_id: String,
pub status: TaskStatus,
pub status_message: String,
pub user_confirmed: i8,
pub compacted: i8,
#[serde(alias = "type")]
pub task_type: TaskType,
pub extra_task_info: String,
pub result: String,
pub created: String,
}
pub async fn fail_task(
task: &Task,
config: Arc<ConfigFile>,
runner_data: Arc<RunnerData>,
reason: &str,
) -> Result<()> {
println!("Marking Task as failed");
let client = reqwest::Client::new();
let to_send = json!({
"id": runner_data.id,
"taskId": task.id,
"reason": reason
});
let resp = client
.post(format!("{}/tasks/runner/fail", config.hostname))
.header("token", &config.token)
.body(to_send.to_string())
.send()
.await?;
if resp.status() != 200 {
println!("Failed to update status of task");
bail!("Failed to update status of task");
}
Ok(())
}
impl Task {
pub async fn fail(
self: &mut Task,
config: Arc<ConfigFile>,
runner_data: Arc<RunnerData>,
reason: &str,
) -> Result<()> {
fail_task(self, config, runner_data, reason).await?;
self.status = TaskStatus::FailedRunning;
self.status_message = reason.to_string();
Ok(())
}
}

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use crate::{
dataloader::DataLoader,
model::{self, build_model},
settings::{ConfigFile, RunnerData},
tasks::{fail_task, Task},
types::{DataPointRequest, Definition, ModelClass},
};
use std::{
io::{self, Write},
sync::Arc,
};
use anyhow::Result;
use rand::{seq::SliceRandom, thread_rng};
use serde_json::json;
use tch::{
nn::{self, Module, OptimizerConfig},
Cuda, Tensor,
};
pub async fn handle_train(
task: &Task,
config: Arc<ConfigFile>,
runner_data: Arc<RunnerData>,
) -> Result<()> {
let client = reqwest::Client::new();
println!("Preparing to train a model");
let to_send = json!({
"id": runner_data.id,
"taskId": task.id,
});
let mut defs: Vec<Definition> = client
.post(format!("{}/tasks/runner/train/defs", config.hostname))
.header("token", &config.token)
.body(to_send.to_string())
.send()
.await?
.json()
.await?;
if defs.len() == 0 {
println!("No defs found");
fail_task(task, config, runner_data, "No definitions found").await?;
return Ok(());
}
let classes: Vec<ModelClass> = client
.post(format!("{}/tasks/runner/train/classes", config.hostname))
.header("token", &config.token)
.body(to_send.to_string())
.send()
.await?
.json()
.await?;
let data: DataPointRequest = client
.post(format!("{}/tasks/runner/train/datapoints", config.hostname))
.header("token", &config.token)
.body(to_send.to_string())
.send()
.await?
.json()
.await?;
let mut testing = data.testing;
testing.shuffle(&mut thread_rng());
let mut data_loader = DataLoader::new(config.clone(), testing, classes.len() as i64, 64);
// TODO make this a vec
let mut model: Option<model::Model> = None;
loop {
let config = config.clone();
let runner_data = runner_data.clone();
let mut to_remove: Vec<usize> = Vec::new();
let mut def_iter = defs.iter_mut();
let mut i: usize = 0;
while let Some(def) = def_iter.next() {
def.updateStatus(
task,
config.clone(),
runner_data.clone(),
crate::types::DefinitionStatus::Training,
)
.await?;
let model_err = train_definition(
def,
&mut data_loader,
model,
config.clone(),
runner_data.clone(),
&task,
)
.await;
if model_err.is_err() {
println!("Failed to create model {:?}", model_err);
model = None;
to_remove.push(i);
continue;
}
model = model_err?;
i += 1;
}
defs = defs
.into_iter()
.enumerate()
.filter(|&(i, _)| to_remove.iter().any(|b| *b == i))
.map(|(_, e)| e)
.collect();
break;
}
fail_task(task, config, runner_data, "TODO").await?;
Ok(())
/*
for {
// Keep track of definitions that did not train fast enough
var toRemove ToRemoveList = []int{}
for i, def := range definitions {
accuracy, ml_model, err := trainDefinition(c, model, def, models[def.Id], classes)
if err != nil {
log.Error("Failed to train definition!Err:", "err", err)
def.UpdateStatus(c, DEFINITION_STATUS_FAILED_TRAINING)
toRemove = append(toRemove, i)
continue
}
models[def.Id] = ml_model
if accuracy >= float64(def.TargetAccuracy) {
log.Info("Found a definition that reaches target_accuracy!")
_, err = db.Exec("update model_definition set accuracy=$1, status=$2, epoch=$3 where id=$4", accuracy, DEFINITION_STATUS_TRANIED, def.Epoch, def.Id)
if err != nil {
log.Error("Failed to train definition!Err:\n", "err", err)
ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
return err
}
_, err = db.Exec("update model_definition set status=$1 where id!=$2 and model_id=$3 and status!=$4", DEFINITION_STATUS_CANCELD_TRAINING, def.Id, model.Id, DEFINITION_STATUS_FAILED_TRAINING)
if err != nil {
log.Error("Failed to train definition!Err:\n", "err", err)
ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
return err
}
finished = true
break
}
if def.Epoch > MAX_EPOCH {
fmt.Printf("Failed to train definition! Accuracy less %f < %d\n", accuracy, def.TargetAccuracy)
def.UpdateStatus(c, DEFINITION_STATUS_FAILED_TRAINING)
toRemove = append(toRemove, i)
continue
}
_, err = db.Exec("update model_definition set accuracy=$1, epoch=$2, status=$3 where id=$4", accuracy, def.Epoch, DEFINITION_STATUS_PAUSED_TRAINING, def.Id)
if err != nil {
log.Error("Failed to train definition!Err:\n", "err", err)
ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
return err
}
}
if finished {
break
}
sort.Sort(sort.Reverse(toRemove))
log.Info("Round done", "toRemove", toRemove)
for _, n := range toRemove {
// Clean up unsed models
models[definitions[n].Id] = nil
definitions = remove(definitions, n)
}
len_def := len(definitions)
if len_def == 0 {
break
}
if len_def == 1 {
continue
}
sort.Sort(sort.Reverse(definitions))
acc := definitions[0].Accuracy - 20.0
log.Info("Training models, Highest acc", "acc", definitions[0].Accuracy, "mod_acc", acc)
toRemove = []int{}
for i, def := range definitions {
if def.Accuracy < acc {
toRemove = append(toRemove, i)
}
}
log.Info("Removing due to accuracy", "toRemove", toRemove)
sort.Sort(sort.Reverse(toRemove))
for _, n := range toRemove {
log.Warn("Removing definition not fast enough learning", "n", n)
definitions[n].UpdateStatus(c, DEFINITION_STATUS_FAILED_TRAINING)
models[definitions[n].Id] = nil
definitions = remove(definitions, n)
}
}
var def Definition
err = GetDBOnce(c, &def, "model_definition as md where md.model_id=$1 and md.status=$2 order by md.accuracy desc limit 1;", model.Id, DEFINITION_STATUS_TRANIED)
if err != nil {
if err == NotFoundError {
log.Error("All definitions failed to train!")
} else {
log.Error("DB: failed to read definition", "err", err)
}
ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
return
}
if err = def.UpdateStatus(c, DEFINITION_STATUS_READY); err != nil {
log.Error("Failed to update model definition", "err", err)
ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
return
}
to_delete, err := db.Query("select id from model_definition where status != $1 and model_id=$2", DEFINITION_STATUS_READY, model.Id)
if err != nil {
log.Error("Failed to select model_definition to delete")
log.Error(err)
ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
return
}
defer to_delete.Close()
for to_delete.Next() {
var id string
if err = to_delete.Scan(&id); err != nil {
log.Error("Failed to scan the id of a model_definition to delete", "err", err)
ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
return
}
os.RemoveAll(path.Join("savedData", model.Id, "defs", id))
}
// TODO Check if returning also works here
if _, err = db.Exec("delete from model_definition where status!=$1 and model_id=$2;", DEFINITION_STATUS_READY, model.Id); err != nil {
log.Error("Failed to delete model_definition")
log.Error(err)
ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
return
}
ModelUpdateStatus(c, model.Id, READY)
return
*/
}
async fn train_definition(
def: &Definition,
data_loader: &mut DataLoader,
model: Option<model::Model>,
config: Arc<ConfigFile>,
runner_data: Arc<RunnerData>,
task: &Task,
) -> Result<Option<model::Model>> {
let client = reqwest::Client::new();
println!("About to start training definition");
let mut accuracy = 0;
let model = model.unwrap_or({
let layers: Vec<model::Layer> = client
.post(format!("{}/tasks/runner/train/def/layers", config.hostname))
.header("token", &config.token)
.body(
json!({
"id": runner_data.id,
"taskId": task.id,
"defId": def.id,
})
.to_string(),
)
.send()
.await?
.json()
.await?;
build_model(layers, 0, true)
});
// TODO CUDA
// get device
// Move model to cuda
let mut opt = nn::Adam::default().build(&model.vs, 1e-3)?;
let mut last_acc = 0.0;
for epoch in 1..40 {
data_loader.restart();
let mut mean_loss: f64 = 0.0;
let mut mean_acc: f64 = 0.0;
while let Some((inputs, labels)) = data_loader.next() {
let inputs = inputs
.to_kind(tch::Kind::Float)
.to_device(tch::Device::Cuda(0));
let labels = labels
.to_kind(tch::Kind::Float)
.to_device(tch::Device::Cuda(0));
let out = model.seq.forward(&inputs);
let weight: Option<Tensor> = None;
let loss = out.binary_cross_entropy(&labels, weight, tch::Reduction::Mean);
opt.backward_step(&loss);
mean_loss += loss
.to_device(tch::Device::Cpu)
.unsqueeze(0)
.double_value(&[0]);
let out = out.to_device(tch::Device::Cpu);
let test = out.empty_like();
_ = out.clone(&test);
let out = test.argmax(1, true);
let mut labels = labels.to_device(tch::Device::Cpu);
labels = labels.unsqueeze(-1);
let size = out.size()[0];
let mut acc = 0;
for i in 0..size {
let res = out.double_value(&[i]);
let exp = labels.double_value(&[i, res as i64]);
if exp == 1.0 {
acc += 1;
}
}
mean_acc += acc as f64 / size as f64;
last_acc = acc as f64 / size as f64;
}
print!(
"\repoch: {} loss: {} acc: {} l acc: {} ",
epoch,
mean_loss / data_loader.len as f64,
mean_acc / data_loader.len as f64,
last_acc
);
io::stdout().flush().expect("Unable to flush stdout");
}
println!("\nlast acc: {}", last_acc);
return Ok(Some(model));
/*
opt, err := my_nn.DefaultAdamConfig().Build(model.Vs, 0.001)
if err != nil {
return
}
for epoch := 0; epoch < EPOCH_PER_RUN; epoch++ {
var trainIter *torch.Iter2
trainIter, err = ds.TrainIter(32)
if err != nil {
return
}
// trainIter.ToDevice(device)
log.Info("epoch", "epoch", epoch)
var trainLoss float64 = 0
var trainCorrect float64 = 0
ok := true
for ok {
var item torch.Iter2Item
var loss *torch.Tensor
item, ok = trainIter.Next()
if !ok {
continue
}
data := item.Data
data, err = data.ToDevice(device, gotch.Float, false, true, false)
if err != nil {
return
}
var size []int64
size, err = data.Size()
if err != nil {
return
}
var zeros *torch.Tensor
zeros, err = torch.Zeros(size, gotch.Float, device)
if err != nil {
return
}
data, err = zeros.Add(data, true)
if err != nil {
return
}
log.Info("\n\nhere 1, data\n\n", "retains", data.MustRetainsGrad(false), "requires", data.MustRequiresGrad())
data, err = data.SetRequiresGrad(true, false)
if err != nil {
return
}
log.Info("\n\nhere 2, data\n\n", "retains", data.MustRetainsGrad(false), "requires", data.MustRequiresGrad())
err = data.RetainGrad(false)
if err != nil {
return
}
log.Info("\n\nhere 2, data\n\n", "retains", data.MustRetainsGrad(false), "requires", data.MustRequiresGrad())
pred := model.ForwardT(data, true)
pred, err = pred.SetRequiresGrad(true, true)
if err != nil {
return
}
err = pred.RetainGrad(false)
if err != nil {
return
}
label := item.Label
label, err = label.ToDevice(device, gotch.Float, false, true, false)
if err != nil {
return
}
label, err = label.SetRequiresGrad(true, true)
if err != nil {
return
}
err = label.RetainGrad(false)
if err != nil {
return
}
// Calculate loss
loss, err = pred.BinaryCrossEntropyWithLogits(label, &torch.Tensor{}, &torch.Tensor{}, 2, false)
if err != nil {
return
}
loss, err = loss.SetRequiresGrad(true, false)
if err != nil {
return
}
err = loss.RetainGrad(false)
if err != nil {
return
}
err = opt.ZeroGrad()
if err != nil {
return
}
err = loss.Backward()
if err != nil {
return
}
log.Info("pred grad", "pred", pred.MustGrad(false).MustMax(false).Float64Values())
log.Info("pred grad", "outs", label.MustGrad(false).MustMax(false).Float64Values())
log.Info("pred grad", "data", data.MustGrad(false).MustMax(false).Float64Values(), "lol", data.MustRetainsGrad(false))
vars := model.Vs.Variables()
for k, v := range vars {
log.Info("[grad check]", "k", k, "grad", v.MustGrad(false).MustMax(false).Float64Values(), "lol", v.MustRetainsGrad(false))
}
model.Debug()
err = opt.Step()
if err != nil {
return
}
trainLoss = loss.Float64Values()[0]
// Calculate accuracy
/ *var p_pred, p_labels *torch.Tensor
p_pred, err = pred.Argmax([]int64{1}, true, false)
if err != nil {
return
}
p_labels, err = item.Label.Argmax([]int64{1}, true, false)
if err != nil {
return
}
floats := p_pred.Float64Values()
floats_labels := p_labels.Float64Values()
for i := range floats {
if floats[i] == floats_labels[i] {
trainCorrect += 1
}
} * /
panic("fornow")
}
//v := []float64{}
log.Info("model training epoch done loss", "loss", trainLoss, "correct", trainCorrect, "out", ds.TrainImagesSize, "accuracy", trainCorrect/float64(ds.TrainImagesSize))
/ *correct := int64(0)
//torch.NoGrad(func() {
ok = true
testIter := ds.TestIter(64)
for ok {
var item torch.Iter2Item
item, ok = testIter.Next()
if !ok {
continue
}
output := model.Forward(item.Data)
var pred, labels *torch.Tensor
pred, err = output.Argmax([]int64{1}, true, false)
if err != nil {
return
}
labels, err = item.Label.Argmax([]int64{1}, true, false)
if err != nil {
return
}
floats := pred.Float64Values()
floats_labels := labels.Float64Values()
for i := range floats {
if floats[i] == floats_labels[i] {
correct += 1
}
}
}
accuracy = float64(correct) / float64(ds.TestImagesSize)
log.Info("Eval accuracy", "accuracy", accuracy)
err = def.UpdateAfterEpoch(db, accuracy*100)
if err != nil {
return
}* /
//})
}
result_path := path.Join(getDir(), "savedData", m.Id, "defs", def.Id)
err = os.MkdirAll(result_path, os.ModePerm)
if err != nil {
return
}
err = my_torch.SaveModel(model, path.Join(result_path, "model.dat"))
if err != nil {
return
}
log.Info("Model finished training!", "accuracy", accuracy)
return
*/
}

89
runner/src/types.rs Normal file
View File

@ -0,0 +1,89 @@
use crate::{model, tasks::Task, ConfigFile, RunnerData};
use anyhow::{bail, Result};
use serde::Deserialize;
use serde_json::json;
use serde_repr::{Deserialize_repr, Serialize_repr};
use std::sync::Arc;
#[derive(Clone, Copy, Deserialize_repr, Serialize_repr, Debug)]
#[repr(i8)]
pub enum DefinitionStatus {
CanceldTraining = -4,
FailedTraining = -3,
PreInit = 1,
Init = 2,
Training = 3,
PausedTraining = 6,
Tranied = 4,
Ready = 5,
}
#[derive(Deserialize, Debug)]
pub struct Definition {
pub id: String,
pub model_id: String,
pub accuracy: f64,
pub target_accuracy: i64,
pub epoch: i64,
pub status: i64,
pub created: String,
pub epoch_progress: i64,
}
impl Definition {
pub async fn updateStatus(
self: &mut Definition,
task: &Task,
config: Arc<ConfigFile>,
runner_data: Arc<RunnerData>,
status: DefinitionStatus,
) -> Result<()> {
println!("Marking Task as faield");
let client = reqwest::Client::new();
let to_send = json!({
"id": runner_data.id,
"taskId": task.id,
"defId": self.id,
"status": status,
});
let resp = client
.post(format!("{}/tasks/runner/train/def/status", config.hostname))
.header("token", &config.token)
.body(to_send.to_string())
.send()
.await?;
if resp.status() != 200 {
println!("Failed to update status of task");
bail!("Failed to update status of task");
}
Ok(())
}
}
#[derive(Clone, Copy, Deserialize_repr, Debug)]
#[repr(i8)]
pub enum ModelClassStatus {
ToTrain = 1,
Training = 2,
Trained = 3,
}
#[derive(Deserialize, Debug)]
pub struct ModelClass {
pub id: String,
pub model_id: String,
pub name: String,
pub class_order: i64,
pub status: ModelClassStatus,
}
#[derive(Deserialize, Debug)]
pub struct DataPointRequest {
pub testing: Vec<model::DataPoint>,
pub training: Vec<model::DataPoint>,
}

View File

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

View File

@ -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

View File

@ -143,15 +143,6 @@ def addBlock(
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}}')

View File

@ -1 +0,0 @@
.gitignore

View File

@ -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'
}
]
};

View File

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

Binary file not shown.

4125
webpage/package-lock.json generated

File diff suppressed because it is too large Load Diff

View File

@ -1,41 +1,38 @@
{
"name": "webpage",
"version": "0.0.1",
"private": true,
"scripts": {
"dev:raw": "vite dev",
"dev": "vite dev --port 5001 --host",
"build": "vite build",
"preview": "vite preview --port 5001 --host",
"check": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json",
"check:watch": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json --watch",
"lint": "prettier --check . && eslint .",
"format": "prettier --write ."
},
"devDependencies": {
"@sveltejs/adapter-auto": "^3.2.0",
"@sveltejs/kit": "^2.5.6",
"@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",
"eslint": "^8.57.0",
"eslint-config-prettier": "^9.1.0",
"eslint-plugin-svelte": "^2.37.0",
"prettier": "^3.2.5",
"prettier-plugin-svelte": "^3.2.3",
"sass": "^1.75.0",
"svelte": "^5.0.0-next.104",
"svelte-check": "^3.6.9",
"tslib": "^2.6.2",
"typescript": "^5.4.5",
"vite": "^5.2.8"
},
"type": "module",
"dependencies": {
"chart.js": "^4.4.2",
"d3": "^7.9.0",
"highlight.js": "^11.9.0"
}
"name": "webpage",
"version": "0.0.1",
"private": true,
"scripts": {
"dev:raw": "vite dev",
"dev": "vite dev --port 5001 --host",
"build": "vite build",
"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 .",
"format": "prettier --write ."
},
"devDependencies": {
"@sveltejs/adapter-auto": "^3.2.0",
"@sveltejs/kit": "^2.5.6",
"@sveltejs/vite-plugin-svelte": "3.0.0",
"@types/eslint": "^8.56.9",
"@typescript-eslint/eslint-plugin": "^7.7.0",
"@typescript-eslint/parser": "^7.7.0",
"eslint": "^8.57.0",
"eslint-config-prettier": "^9.1.0",
"eslint-plugin-svelte": "^2.37.0",
"prettier": "^3.2.5",
"prettier-plugin-svelte": "^3.2.3",
"sass": "^1.75.0",
"svelte": "5.0.0-next.104",
"svelte-check": "^3.6.9",
"tslib": "^2.6.2",
"typescript": "^5.4.5",
"vite": "^5.2.8"
},
"type": "module",
"dependencies": {
"chart.js": "^4.4.2"
}
}

View File

@ -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}

View File

@ -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"

View File

@ -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>

View File

@ -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}

View File

@ -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}
onmouseleave={mouseLeave}
onmousemove={mouseMove}
onfocus={focus}
on:mouseover={mouseOver}
on:mouseleave={mouseLeave}
on:mousemove={mouseMove}
on:focus={focus}
role="tooltip"
class="tooltipContainer"
>

View File

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

View File

@ -1,7 +1,7 @@
import { goto } from '$app/navigation';
import { rdelete } from '$lib/requests.svelte';
export type User = {
type User = {
token: string;
id: string;
user_type: number;

View File

@ -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>

View File

@ -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>

View File

@ -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;
};

View File

@ -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} />

View File

@ -1,22 +1,26 @@
<script lang="ts">
import MessageSimple from 'src/lib/MessageSimple.svelte';
import { onMount } from 'svelte';
import { get, showMessage } from '$lib/requests.svelte';
import { notificationStore } from 'src/lib/NotificationsStore.svelte';
import Spinner from 'src/lib/Spinner.svelte';
import { get } from '$lib/requests.svelte';
let list = $state<
| {
name: string;
id: string;
}[]
| undefined
>(undefined);
{
name: string;
id: string;
}[]
>([]);
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>
@ -26,44 +30,39 @@
</svelte:head>
<main>
{#if list}
{#if list.length > 0}
<div class="list-header">
<h2>My Models</h2>
<div class="expand"></div>
<a class="button" href="/models/add"> New </a>
</div>
<table class="table">
<thead>
<MessageSimple bind:this={message} />
{#if list.length > 0}
<div class="list-header">
<h2>My Models</h2>
<div class="expand"></div>
<a class="button" href="/models/add"> New </a>
</div>
<table class="table">
<thead>
<tr>
<th> Name </th>
<th>
<!-- Open Button -->
</th>
</tr>
</thead>
<tbody>
{#each list as item}
<tr>
<th> Name </th>
<th>
<!-- Open Button -->
</th>
<td>
{item.name}
</td>
<td class="text-center">
<a class="button simple" href="/models/edit?id={item.id}"> Edit </a>
</td>
</tr>
</thead>
<tbody>
{#each list as item}
<tr>
<td>
{item.name}
</td>
<td class="text-center">
<a class="button simple" href="/models/edit?id={item.id}"> Edit </a>
</td>
</tr>
{/each}
</tbody>
</table>
{:else}
<h2 class="text-center">You don't have any models</h2>
<div class="text-center">
<a class="button padded" href="/models/add"> Create a new model </a>
</div>
{/if}
{/each}
</tbody>
</table>
{:else}
<div style="text-align: center;">
<Spinner />
<h2 class="text-center">You don't have any models</h2>
<div class="text-center">
<a class="button padded" href="/models/add"> Create a new model </a>
</div>
{/if}
</main>
@ -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>

View File

@ -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}

View File

@ -30,19 +30,18 @@
import BaseModelInfo from './BaseModelInfo.svelte';
import DeleteModel from './DeleteModel.svelte';
import { goto } from '$app/navigation';
import { get, rdelete, showMessage } from 'src/lib/requests.svelte';
import { preventDefault } from 'src/lib/utils';
import { get, rdelete } from 'src/lib/requests.svelte';
import MessageSimple from '$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"
onclick={setActive('model')}
on:click|preventDefault={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"
onclick={setActive('model-data')}
on:click|preventDefault={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"
onclick={setActive('tasks')}
on:click|preventDefault={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={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>

View File

@ -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">

View File

@ -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>

View File

@ -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 { preventDefault } from 'src/lib/utils';
import MessageSimple from 'src/lib/MessageSimple.svelte';
import { createEventDispatcher } from 'svelte';
let {
model,
expand,
onreload = () => {}
}: {
model: Model;
expand?: boolean;
onreload?: () => void;
} = $props();
let message: MessageSimple;
let { model, expand } = $props<{ model: Model; expand?: boolean }>();
const dispatch = createEventDispatcher<{ reload: void }>();
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>

View File

@ -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, showMessage } from 'src/lib/requests.svelte';
import { postFormData, get } 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 {
model,
simple,
onreload = () => {}
}: { model: Model; simple?: boolean; onreload?: () => void } = $props();
let { model, simple } = $props<{ model: Model; simple?: boolean }>();
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) {
showMessage(e, notificationStore, 'Could not get information on classes');
} catch {
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 class="tab" class:selected={isActive('api')} onclick={setActive('api')}>
</button>
<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')}>
<ModelTable {classes} {model} {onreload} />
</div-->
<!--div class="content" class:selected={isActive('api')}>TODO</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>
<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}

View File

@ -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 {
model,
active,
onreload = () => {}
}: { model: Model; active?: boolean; onreload?: () => void } = $props();
let { model, active }: { model: Model; active?: boolean } = $props();
const dispatch = createEventDispatcher<{ reload: void }>();
$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>

View File

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

View File

@ -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';
import CreateNewClass from './api/CreateNewClass.svelte';
const dispatch = createEventDispatcher<{ reload: void }>();
let selected_class: Class | undefined = $state();
let { classes, model, onreload }: { classes: Class[]; model: Model; onreload?: () => void } =
$props();
let { classes, model }: { classes: Class[]; model: Model } = $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"
onclick={setActive('zip')}
on:click|preventDefault={setActive('zip')}
class:selected={isActive('zip')}
>
Zip
</button>
<button
class="tab"
type="button"
onclick={setActive('empty')}
on:click|preventDefault={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>

View File

@ -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 Tabs from 'src/lib/Tabs.svelte';
import hljs from 'highlight.js';
import { notificationStore } from 'src/lib/NotificationsStore.svelte';
import { preventDefault } from 'src/lib/utils';
import type { Task } from './TasksTable.svelte';
let {
model,
onupload = () => {},
ontaskReload = () => {}
}: { model: Model; onupload?: () => void; ontaskReload?: () => void } = $props();
let { model } = $props<{ model: Model }>();
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 = $state();
let last_task_timeout: number | null = null;
let messages: MessageSimple;
async function reloadLastTimeout() {
if (!last_task) {
return;
@ -34,7 +31,7 @@
const r = await post('tasks/task', { id: last_task });
if ([0, 1, 2, 3].includes(r.status)) {
setTimeout(reloadLastTimeout, 500);
setTimeout(ontaskReload, 500);
setTimeout(() => dispatch('taskReload'), 500);
} else {
_result = Promise.resolve(r);
}
@ -45,6 +42,7 @@
async function submit() {
if (!file) return;
messages.clear();
let form = new FormData();
form.append('json_data', JSON.stringify({ id: model.id }));
@ -58,10 +56,14 @@
file = undefined;
last_task_timeout = setTimeout(() => reloadLastTimeout());
} catch (e) {
showMessage(e, notificationStore, 'Could not run the model');
if (e instanceof Response) {
messages.display(await e.json());
} else {
messages.display('Could not run the model');
}
}
onupload();
dispatch('upload');
}
onDestroy(() => {
@ -71,111 +73,39 @@
});
</script>
<Tabs active="upload" let:isActive>
<div class="buttons" slot="buttons" let:setActive let:isActive>
<button class="tab" class:selected={isActive('upload')} onclick={setActive('upload')}>
Upload
</button>
<button class="tab" class:selected={isActive('api')} onclick={setActive('api')}> Api </button>
</div>
<div class="content" class:selected={isActive('api')}>
<div class="codeinfo">
To perform an image classfication please follow the example bellow:
<pre style="font-family: Fira Code;">{@html hljs.highlight(
`let form = new FormData();
form.append('json_data', JSON.stringify({ id: '${model.id}' }));
form.append('file', file, 'file');
<form on:submit|preventDefault={submit}>
<fieldset class="file-upload">
<label for="file">Image</label>
<div class="form-msg">Run image through them model and get the result</div>
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>
<FileUpload replace_slot bind:file accept="image/*">
<img src="/imgs/upload-icon.png" alt="" />
<span> Upload image </span>
<div slot="replaced-name">
<span> Image selected </span>
</div>
</FileUpload>
</fieldset>
<button> Run </button>
{#if run}
{#await _result}
<h1>
Processing Image! <Spinner />
</h1>
{:then result}
{#if result.status == 4}
{@const res = JSON.parse(result.result)}
<div>
<h1>Result</h1>
The image was classified as {res.class} with confidence: {res.confidence}
</div>
{:else}
<div class="result">
<h1>There was a problem running the task:</h1>
{result?.status_message}
</div>
{/if}
{/await}
<FileUpload replace_slot bind:file accept="image/*">
<img src="/imgs/upload-icon.png" alt="" />
<span> Upload image </span>
<div slot="replaced-name">
<span> Image selected </span>
</div>
</FileUpload>
</fieldset>
<MessageSimple bind:this={messages} />
<button> Run </button>
{#if run}
{#await _result}
<h1>
Processing Image! <Spinner />
</h1>
{:then result}
{#if result.status == 4}
{@const res = JSON.parse(result.result)}
<div>
<h1>Result</h1>
The image was classified as {res.class} with confidence: {res.confidence}
</div>
{:else}
<div class="result">
<h1>There was a problem running the task:</h1>
{result?.status_message}
</div>
{/if}
</form>
</div>
</Tabs>
<style lang="scss">
.codeinfo {
padding: 20px;
}
</style>
{/await}
{/if}
</form>

View File

@ -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>

View File

@ -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 { preventDefault } from 'src/lib/utils';
import { post } from 'src/lib/requests.svelte';
import { createEventDispatcher } from 'svelte';
let {
number_of_invalid_images,
has_data,
model,
onreload = () => {}
}: {
let { number_of_invalid_images, has_data, model } = $props<{
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)}
<form class:submitted onsubmit={submitRetrain}>
{:else}
<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>

View File

@ -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>

View File

@ -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]
}
]
},
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]
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
]
}
]
},
@ -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>
<canvas bind:this={pie}></canvas>
</div>
<div>
<canvas bind:this={pie2}></canvas>
</div>
<div>
<canvas bind:this={pie}></canvas>
</div>
<h2>Hourly</h2>
@ -173,12 +160,4 @@
canvas {
width: 100%;
}
.pies {
display: flex;
align-content: stretch;
div {
width: 50%;
}
}
</style>

View File

@ -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 {

View File

@ -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;
};

View File

@ -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;
};

View File

@ -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} />

View File

@ -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({
message: 'User updated successufly!',
type: 'success',
timeToLive: 10000
});
msgEmail.display('User updated successufly!', { type: 'success', timeToShow: 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: '' };
notificationStore.add({
message: 'Password updated successufly!',
type: 'success',
timeToLive: 10000
});
msgPassword.display('Password updated successufly!', { type: 'success', timeToShow: 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>

View File

@ -1,32 +1,36 @@
<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 Spinner from 'src/lib/Spinner.svelte';
import { preventDefault } from 'src/lib/utils';
import {post} from 'src/lib/requests.svelte';
import Spinner from 'src/lib/Spinner.svelte';
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;
expiry: number;
token: string;
};
type NewToken = {
name: string,
expiry: number,
token: string,
}
let token: Promise<NewToken> | undefined = $state();
let token: Promise<NewToken> | undefined = $state();
let newToken: {
name: string;
expiry: string;
password: string;
password: string;
} = $state({
name: '',
expiry: '',
password: ''
password: '',
});
async function createToken(e: SubmitEvent & { currentTarget: HTMLFormElement }) {
@ -43,85 +47,86 @@
}
}
try {
const r = await post('user/token/add', {
name: newToken.name,
expiry: expiry,
password: newToken.password
});
token = Promise.resolve(r);
setTimeout(onreload, 500);
} catch (e) {
token = undefined;
console.error('Notify user', e);
}
try {
const r = await post("user/token/add", {
name: newToken.name,
expiry: expiry,
password: newToken.password,
});
token = Promise.resolve(r)
setTimeout(() => dispatch('reload'), 500)
} catch (e) {
token = undefined;
console.error("Notify user", e)
}
}
$effect(() => {
if (expiry_date) {
if (isNaN(Number(newToken.expiry))) {
expiry_date.setCustomValidity('Invalid Number');
} else {
expiry_date.setCustomValidity('');
}
}
if (expiry_date) {
if (isNaN(Number(newToken.expiry))) {
expiry_date.setCustomValidity('Invalid Number');
} else {
expiry_date.setCustomValidity('');
}
}
});
</script>
{#if addNewToken}
<div>
<h2>Add New Token</h2>
{#if !token}
<form onsubmit={preventDefault(createToken)}>
<fieldset>
<label for="name">Name</label>
<input required bind:value={newToken.name} name="name" />
</fieldset>
<fieldset>
<label for="expiry_date">Expiry Date</label>
<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>
</Tooltip>
</div>
</fieldset>
<fieldset>
<label for="password">Password</label>
<input required bind:value={newToken.password} name="password" />
</fieldset>
<div>
<button> Update </button>
</div>
</form>
{:else}
{#await token}
<Spinner /> Generating
{:then t}
<h3>Token generated</h3>
<form onsubmit={preventDefault(() => {})}>
<fieldset>
<label for="token">Token</label>
<div class="flex">
<input value={t.token} oninput={(e) => e.preventDefault()} name="token" />
<div style="width: 5em;">
<button onclick={() => navigator.clipboard.writeText(t.token)}>
<span class="bi bi-clipboard"></span>
</button>
</div>
</div>
</fieldset>
<div>
<button onclick={() => (token = undefined)}> Generate new token </button>
</div>
</form>
{:catch e}
{e}
{/await}
{/if}
{#if !token}
<form on:submit|preventDefault={createToken}>
<fieldset>
<label for="name">Name</label>
<input required bind:value={newToken.name} name="name" />
</fieldset>
<fieldset>
<label for="expiry_date">Expiry Date</label>
<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" />
</Tooltip>
</div>
</fieldset>
<fieldset>
<label for="password">Password</label>
<input required bind:value={newToken.password} name="password" />
</fieldset>
<MessageSimple bind:this={messages} />
<div>
<button> Update </button>
</div>
</form>
{:else}
{#await token}
<Spinner /> Generating
{:then t}
<h3> Token generated </h3>
<form on:submit|preventDefault={() => {}}>
<fieldset>
<label for="token">Token</label>
<div class="flex">
<input value={t.token} on:input={(e) => e.preventDefault() } name="token" />
<div style="width: 5em;">
<button on:click={() => navigator.clipboard.writeText(t.token)} >
<span class="bi bi-clipboard" />
</button>
</div>
</div>
</fieldset>
<div>
<button on:click={() => token = undefined}> Generate new token </button>
</div>
</form>
{:catch e}
{e}
{/await}
{/if}
</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}

View File

@ -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>

View File

@ -10,7 +10,7 @@
import { post, rdelete } from 'src/lib/requests.svelte';
import { userStore } from 'src/routes/UserStore.svelte';
import AddToken from './AddToken.svelte';
import AddToken from './AddToken.svelte';
let page = $state(0);
let showNext = $state(false);
@ -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>

View File

@ -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;
}

View File

@ -12,10 +12,10 @@ const config = {
// If your environment is not supported or you settled on a specific environment, switch out the adapter.
// See https://kit.svelte.dev/docs/adapters for more information about adapters.
adapter: adapter(),
alias: {
src: 'src',
routes: 'src/routes'
}
alias: {
src: "src",
routes: "src/routes",
}
}
};

View File

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