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some work done on the running of the model

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This commit is contained in:
Andre Henriques 2024-03-06 23:33:54 +00:00
parent 30c5b57378
commit 4a95f0211d
17 changed files with 360 additions and 121 deletions
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2
logic/models/classes/main.go
View File

@ -20,6 +20,8 @@ func ListClasses(db *sql.DB, model_id string) (cls []ModelClass, err error) {
}
defer rows.Close()
cls = []ModelClass{}
for rows.Next() {
var model ModelClass
err = rows.Scan(&model.Id, &model.ModelId, &model.Name)

81
logic/models/delete.go
View File

@ -8,6 +8,7 @@ import (
. "git.andr3h3nriqu3s.com/andr3/fyp/logic/models/utils"
. "git.andr3h3nriqu3s.com/andr3/fyp/logic/utils"
utils "git.andr3h3nriqu3s.com/andr3/fyp/logic/utils"
)
func deleteModel(handle *Handle, id string, w http.ResponseWriter, c *Context, model BaseModel) {
@ -37,10 +38,76 @@ func deleteModel(handle *Handle, id string, w http.ResponseWriter, c *Context, m
}))
}
func deleteModelJSON(c *Context, id string) *Error {
c.Logger.Warnf("Removing model with id: %s", id)
_, err := c.Db.Exec("delete from models where id=$1;", id)
if err != nil {
return c.Error500(err)
}
model_path := path.Join("./savedData", id)
c.Logger.Warnf("Removing folder of model with id: %s at %s", id, model_path)
err = os.RemoveAll(model_path)
if err != nil {
return c.Error500(err)
}
return c.SendJSON(id)
}
func handleDelete(handle *Handle) {
handle.Delete("/models/delete", func(w http.ResponseWriter, r *http.Request, c *Context) *Error {
if c.Mode == JSON {
panic("TODO handle json on models/delete")
var dat struct {
Id string `json:"id" validate:"required"`
Name *string `json:"name,omitempty"`
}
if err_ := c.ToJSON(r, &dat); err_ != nil {
return err_
}
var model struct {
Id string
Name string
Status int
}
err := utils.GetDBOnce(c, &model, "models where id=$1 and user_id=$2;", dat.Id, c.User.Id)
if err == NotFoundError {
return c.SendJSONStatus(http.StatusNotFound, "Model not found!")
} else if err != nil {
return c.Error500(err)
}
switch model.Status {
case FAILED_TRAINING:
fallthrough
case FAILED_PREPARING_ZIP_FILE:
fallthrough
case FAILED_PREPARING_TRAINING:
fallthrough
case FAILED_PREPARING:
return deleteModelJSON(c, dat.Id)
case READY:
fallthrough
case CONFIRM_PRE_TRAINING:
if dat.Name == nil {
return c.JsonBadRequest("Provided name does not match the model name")
}
if *dat.Name != model.Name {
return c.JsonBadRequest("Provided name does not match the model name")
}
return deleteModelJSON(c, dat.Id)
default:
c.Logger.Warn("Do not know how to handle model in status", "status", model.Status)
return c.JsonBadRequest("Model in invalid status")
}
}
// This is required to parse delete forms with bodies
@ -81,14 +148,18 @@ func handleDelete(handle *Handle) {
}
switch model.Status {
case FAILED_TRAINING: fallthrough
case FAILED_PREPARING_ZIP_FILE: fallthrough
case FAILED_PREPARING_TRAINING: fallthrough
case FAILED_TRAINING:
fallthrough
case FAILED_PREPARING_ZIP_FILE:
fallthrough
case FAILED_PREPARING_TRAINING:
fallthrough
case FAILED_PREPARING:
deleteModel(handle, id, w, c, model)
return nil
case READY: fallthrough
case READY:
fallthrough
case CONFIRM_PRE_TRAINING:
if CheckEmpty(f, "name") {
return c.Error400(nil, "Name is empty", w, "/models/edit.html", "delete-model-card", AnyMap{

31
logic/models/run.go
View File

@ -37,7 +37,7 @@ func ReadJPG(scope *op.Scope, imagePath string, channels int64) *image.Image {
return image.Scale(0, 255)
}
func runModelNormal(c *Context, model *BaseModel, def_id string, inputImage *tf.Tensor) (order int, err error) {
func runModelNormal(c *Context, model *BaseModel, def_id string, inputImage *tf.Tensor) (order int, confidence float32, err error) {
order = 0
err = nil
@ -59,10 +59,12 @@ func runModelNormal(c *Context, model *BaseModel, def_id string, inputImage *tf.
}
}
confidence = vmax
return
}
func runModelExp(c *Context, model *BaseModel, def_id string, inputImage *tf.Tensor) (order int, err error) {
func runModelExp(c *Context, model *BaseModel, def_id string, inputImage *tf.Tensor) (order int, confidence float32, err error) {
err = nil
order = 0
@ -101,6 +103,7 @@ func runModelExp(c *Context, model *BaseModel, def_id string, inputImage *tf.Ten
var predictions = results[0].Value().([][]float32)[0]
for i, v := range predictions {
c.Logger.Info("This is test", "v", v)
if v > vmax {
order = element.Range_start + i
vmax = v
@ -109,6 +112,7 @@ func runModelExp(c *Context, model *BaseModel, def_id string, inputImage *tf.Ten
}
// TODO runthe head model
confidence = vmax
c.Logger.Info("Got", "heads", len(heads))
return
@ -151,7 +155,7 @@ func handleRun(handle *Handle) {
model, err := GetBaseModel(handle.Db, id)
if err == ModelNotFoundError {
return c.JsonBadRequest("Models not found");
return c.JsonBadRequest("Models not found")
} else if err != nil {
return c.Error500(err)
}
@ -206,16 +210,17 @@ func handleRun(handle *Handle) {
}
vi := -1
var confidence float32 = 0
if model.ModelType == 2 {
c.Logger.Info("Running model normal", "model", model.Id, "def", def_id)
vi, err = runModelExp(c, model, def_id, inputImage)
vi, confidence, err = runModelExp(c, model, def_id, inputImage)
if err != nil {
return c.Error500(err)
}
} else {
c.Logger.Info("Running model normal", "model", model.Id, "def", def_id)
vi, err = runModelNormal(c, model, def_id, inputImage)
vi, confidence, err = runModelNormal(c, model, def_id, inputImage)
if err != nil {
return c.Error500(err)
}
@ -236,7 +241,15 @@ func handleRun(handle *Handle) {
return c.Error500(err)
}
return c.SendJSON(name)
returnValue := struct {
Class string `json:"class"`
Confidence float32 `json:"confidence"`
}{
Class: name,
Confidence: confidence,
}
return c.SendJSON(returnValue)
}
read_form, err := r.MultipartReader()
@ -336,16 +349,17 @@ func handleRun(handle *Handle) {
}
vi := -1
var confidence float32 = 0
if model.ModelType == 2 {
c.Logger.Info("Running model normal", "model", model.Id, "def", def_id)
vi, err = runModelExp(c, model, def_id, inputImage)
vi, confidence, err = runModelExp(c, model, def_id, inputImage)
if err != nil {
return c.Error500(err)
}
} else {
c.Logger.Info("Running model normal", "model", model.Id, "def", def_id)
vi, err = runModelNormal(c, model, def_id, inputImage)
vi, confidence, err = runModelNormal(c, model, def_id, inputImage)
if err != nil {
return c.Error500(err)
}
@ -362,6 +376,7 @@ func handleRun(handle *Handle) {
"Model": model,
"NotFound": true,
"Result": nil,
"Confidence": confidence,
}))
return nil
}

161
logic/models/train/train.go
View File

@ -101,6 +101,70 @@ func generateCvs(c *Context, run_path string, model_id string) (count int, err e
return
}
func setModelClassStatus(c *Context, status ModelClassStatus, filter string, args ...any) (err error) {
_, err = c.Db.Exec("update model_classes set stauts = $1 where "+filter, args...)
return
}
func generateCvsExp(c *Context, run_path string, model_id string, doPanic bool) (count int, err error) {
classes, err := c.Db.Query("select count(*) from model_classes where model_id=$1 and status=$2;", model_id, MODEL_CLASS_STATUS_TRAINING)
if err != nil {
return
}
defer classes.Close()
if !classes.Next() {
return
}
if err = classes.Scan(&count); err != nil {
return
}
if count == 0 {
err = setModelClassStatus(c, MODEL_CLASS_STATUS_TRAINING, "model_id=$1 and status=$2;", model_id, MODEL_CLASS_STATUS_TO_TRAIN)
if err != nil {
return
}
if doPanic {
return 0, errors.New("No model classes available")
}
return generateCvsExp(c, run_path, model_id, true)
}
data, err := c.Db.Query("select mdp.id, mc.class_order, mdp.file_path from model_data_point as mdp inner join model_classes as mc on mc.id = mdp.class_id where mc.model_id = $1 and mdp.model_mode=$2 and mc.status=$3;", model_id, model_classes.DATA_POINT_MODE_TRAINING, MODEL_CLASS_STATUS_TRAINING)
if err != nil {
return
}
defer data.Close()
f, err := os.Create(path.Join(run_path, "train.csv"))
if err != nil {
return
}
defer f.Close()
f.Write([]byte("Id,Index\n"))
for data.Next() {
var id string
var class_order int
var file_path string
if err = data.Scan(&id, &class_order, &file_path); err != nil {
return
}
if file_path == "id://" {
f.Write([]byte(id + "," + strconv.Itoa(class_order) + "\n"))
} else {
return count, errors.New("TODO generateCvs to file_path " + file_path)
}
}
return
}
func trainDefinition(c *Context, model *BaseModel, definition_id string, load_prev bool) (accuracy float64, err error) {
c.Logger.Warn("About to start training definition")
accuracy = 0
@ -137,9 +201,9 @@ func trainDefinition(c *Context, model *BaseModel, definition_id string, load_pr
if err != nil {
return
}
defer os.RemoveAll(run_path)
defer removeAll(run_path, err)
_, err = generateCvs(c, run_path, model.Id)
classCount, err := generateCvs(c, run_path, model.Id)
if err != nil {
return
}
@ -171,6 +235,8 @@ func trainDefinition(c *Context, model *BaseModel, definition_id string, load_pr
"LoadPrev": load_prev,
"LastModelRunPath": path.Join(getDir(), result_path, "model.keras"),
"SaveModelPath": path.Join(getDir(), result_path),
"Depth": classCount,
"StartPoint": 0,
}); err != nil {
return
}
@ -208,6 +274,12 @@ func trainDefinition(c *Context, model *BaseModel, definition_id string, load_pr
return
}
func removeAll(path string, err error) {
if err != nil {
os.RemoveAll(path)
}
}
func trainDefinitionExp(c *Context, model *BaseModel, definition_id string, load_prev bool) (accuracy float64, err error) {
accuracy = 0
@ -295,9 +367,9 @@ func trainDefinitionExp(c *Context, model *BaseModel, definition_id string, load
if err != nil {
return
}
defer os.RemoveAll(run_path)
defer removeAll(run_path, err)
_, err = generateCvs(c, run_path, model.Id)
classCount, err := generateCvsExp(c, run_path, model.Id, false)
if err != nil {
return
}
@ -333,6 +405,8 @@ func trainDefinitionExp(c *Context, model *BaseModel, definition_id string, load
"LastModelRunPath": path.Join(getDir(), result_path, "model.keras"),
"SaveModelPath": path.Join(getDir(), result_path),
"RemoveTopCount": remove_top_count,
"Depth": classCount,
"StartPoint": 0,
}); err != nil {
return
}
@ -413,7 +487,7 @@ func (nf ToRemoveList) Less(i, j int) bool {
func trainModel(c *Context, model *BaseModel) {
definitionsRows, err := c.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 {
c.Logger.Error("Failed to trainModel!Err:")
c.Logger.Error("Failed to train Model! Err:")
c.Logger.Error(err)
ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
return
@ -584,7 +658,7 @@ func trainModel(c *Context, model *BaseModel) {
for to_delete.Next() {
var id string
if to_delete.Scan(&id); err != nil {
if err = to_delete.Scan(&id); err != nil {
c.Logger.Error("Failed to scan the id of a model_definition to delete")
c.Logger.Error(err)
ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
@ -604,6 +678,21 @@ func trainModel(c *Context, model *BaseModel) {
ModelUpdateStatus(c, model.Id, READY)
}
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 *Context, model *BaseModel) {
var err error = nil
@ -612,25 +701,13 @@ func trainModelExp(c *Context, model *BaseModel) {
ModelUpdateStatus(c, model.Id, FAILED_TRAINING)
}
definitionsRows, err := c.Db.Query("select id, target_accuracy, epoch from model_definition where status=$1 and model_id=$2", MODEL_DEFINITION_STATUS_INIT, model.Id)
var definitions TrainModelRowUsables
definitions, err = GetDbMultitple[TrainModelRowUsable](c, "model_definition where status=$1 and model_id=$2", MODEL_DEFINITION_STATUS_INIT, model.Id)
if err != nil {
failed("Failed to trainModel!")
failed("Failed to get definitions");
return
}
defer definitionsRows.Close()
var definitions TraingModelRowDefinitions = []TrainModelRow{}
for definitionsRows.Next() {
var rowv TrainModelRow
rowv.acuracy = 0
if err = definitionsRows.Scan(&rowv.id, &rowv.target_accuracy, &rowv.epoch); err != nil {
failed("Failed to train Model Could not read definition from db!")
return
}
definitions = append(definitions, rowv)
}
if len(definitions) == 0 {
failed("No Definitions defined!")
return
@ -642,30 +719,30 @@ func trainModelExp(c *Context, model *BaseModel) {
for {
var toRemove ToRemoveList = []int{}
for i, def := range definitions {
ModelDefinitionUpdateStatus(c, def.id, MODEL_DEFINITION_STATUS_TRAINING)
accuracy, err := trainDefinitionExp(c, model, def.id, !firstRound)
ModelDefinitionUpdateStatus(c, def.Id, MODEL_DEFINITION_STATUS_TRAINING)
accuracy, err := trainDefinitionExp(c, model, def.Id, !firstRound)
if err != nil {
c.Logger.Error("Failed to train definition!Err:", "err", err)
ModelDefinitionUpdateStatus(c, def.id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
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.acuracy = float64(accuracy)
def.Acuracy = float64(accuracy)
definitions[i].epoch += EPOCH_PER_RUN
definitions[i].acuracy = accuracy
definitions[i].Epoch += EPOCH_PER_RUN
definitions[i].Acuracy = accuracy
if accuracy >= float64(def.target_accuracy) {
if accuracy >= float64(def.TargetAccuracy) {
c.Logger.Info("Found a definition that reaches target_accuracy!")
_, err = c.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 = c.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 {
failed("Failed to train definition!")
return
}
_, err = c.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 = c.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 {
failed("Failed to train definition!")
return
@ -675,14 +752,14 @@ func trainModelExp(c *Context, model *BaseModel) {
break
}
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)
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)
toRemove = append(toRemove, i)
continue
}
_, err = c.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 = c.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 {
failed("Failed to train definition!")
return
@ -713,14 +790,13 @@ func trainModelExp(c *Context, model *BaseModel) {
}
sort.Sort(sort.Reverse(definitions))
acc := definitions[0].Acuracy - 20.0
acc := definitions[0].acuracy - 20.0
c.Logger.Info("Training models, Highest acc", "acc", definitions[0].acuracy, "mod_acc", acc)
c.Logger.Info("Training models, Highest acc", "acc", definitions[0].Acuracy, "mod_acc", acc)
toRemove = []int{}
for i, def := range definitions {
if def.acuracy < acc {
if def.Acuracy < acc {
toRemove = append(toRemove, i)
}
}
@ -730,7 +806,7 @@ func trainModelExp(c *Context, model *BaseModel) {
sort.Sort(sort.Reverse(toRemove))
for _, n := range toRemove {
c.Logger.Warn("Removing definition not fast enough learning", "n", n)
ModelDefinitionUpdateStatus(c, definitions[n].id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
ModelDefinitionUpdateStatus(c, definitions[n].Id, MODEL_DEFINITION_STATUS_FAILED_TRAINING)
definitions = remove(definitions, n)
}
}
@ -821,8 +897,7 @@ func splitModel(c *Context, model *BaseModel) (err error) {
if err != nil {
return
}
// TODO reneable it
// defer os.RemoveAll(run_path)
defer removeAll(run_path, err)
// Create python script
f, err := os.Create(path.Join(run_path, "run.py"))

8
logic/models/utils/types.go
View File

@ -52,6 +52,14 @@ const (
MODEL_DEFINITION_STATUS_READY = 5
)
type ModelClassStatus int
const (
MODEL_CLASS_STATUS_TO_TRAIN ModelClassStatus = 1
MODEL_CLASS_STATUS_TRAINING = 2
MODEL_CLASS_STATUS_TRAINED = 3
)
var ModelNotFoundError = errors.New("Model not found error")
func GetBaseModel(db *sql.DB, id string) (base *BaseModel, err error) {

2
logic/utils/handler.go
View File

@ -387,7 +387,9 @@ func (c Context) SendJSONStatus(status int, dat any) *Error {
}
func (c Context) JsonBadRequest(dat any) *Error {
c.SetReportCaller(true)
c.Logger.Warn("Request failed with a bad request", "dat", dat)
c.SetReportCaller(false)
return c.SendJSONStatus(http.StatusBadRequest, dat)
}

33
logic/utils/utils.go
View File

@ -190,19 +190,30 @@ type Generic struct{ reflect.Type }
var NotFoundError = errors.New("Not found")
func GetDbMultitple[T interface{}](c *Context, tablename string, args ...any) ([]*T, error) {
t := reflect.TypeFor[T]()
nargs := t.NumField()
query := ""
func generateQuery(t reflect.Type) (query string, nargs int) {
nargs = t.NumField()
query = ""
for i := 0; i < nargs; i += 1 {
query += strings.ToLower(t.Field(i).Name) + ","
field := t.Field(i)
name, ok := field.Tag.Lookup("db")
if !ok {
name = field.Name;
}
query += strings.ToLower(name) + ","
}
// Remove the last comma
query = query[0 : len(query)-1]
return
}
func GetDbMultitple[T interface{}](c *Context, tablename string, args ...any) ([]*T, error) {
t := reflect.TypeFor[T]()
query, nargs := generateQuery(t)
rows, err := c.Db.Query(fmt.Sprintf("select %s from %s", query, tablename), args...)
if err != nil {
return nil, err
@ -242,16 +253,8 @@ func mapRow(store interface{}, rows *sql.Rows, nargs int) (err error) {
func GetDBOnce(c *Context, store interface{}, tablename string, args ...any) error {
t := reflect.TypeOf(store).Elem()
nargs := t.NumField()
query := ""
for i := 0; i < nargs; i += 1 {
query += strings.ToLower(t.Field(i).Name) + ","
}
// Remove the last comma
query = query[0 : len(query)-1]
query, nargs := generateQuery(t)
rows, err := c.Db.Query(fmt.Sprintf("select %s from %s", query, tablename), args...)
if err != nil {

2
nginx.dev.conf
View File

@ -13,6 +13,8 @@ http {
server {
listen 8000;
client_max_body_size 1G;
location / {
proxy_http_version 1.1;
proxy_pass http://127.0.0.1:5001;

7
sql/models.sql
View File

@ -29,7 +29,12 @@ create table if not exists model_classes (
id uuid primary key default gen_random_uuid(),
model_id uuid references models (id) on delete cascade,
name varchar (70) not null,
class_order integer
class_order integer,
-- 1: to_train
-- 2: training
-- 3: trained
status integer default 1,
);
-- drop table if exists model_data_point;

13
views/py/python_model_template.py
View File

@ -9,9 +9,9 @@ import requests
class NotifyServerCallback(tf.keras.callbacks.Callback):
def on_epoch_end(self, epoch, log, *args, **kwargs):
{{ if .HeadId }}
requests.get(f'http://localhost:8000//model/head/epoch/update?epoch={epoch + 1}&accuracy={log["accuracy"]}&head_id={{.HeadId}}')
requests.get(f'http://localhost:8000/api/model/head/epoch/update?epoch={epoch + 1}&accuracy={log["accuracy"]}&head_id={{.HeadId}}')
{{ else }}
requests.get(f'http://localhost:8000/model/epoch/update?model_id={{.Model.Id}}&epoch={epoch + 1}&accuracy={log["accuracy"]}&definition={{.DefId}}')
requests.get(f'http://localhost:8000/api/model/epoch/update?model_id={{.Model.Id}}&epoch={epoch + 1}&accuracy={log["accuracy"]}&definition={{.DefId}}')
{{end}}
@ -23,6 +23,9 @@ df = pd.read_csv("{{ .RunPath }}/train.csv", dtype=str)
keys = tf.constant(df['Id'].dropna())
values = tf.constant(list(map(int, df['Index'].dropna())))
depth = {{ .Depth }}
diff = {{ .StartPoint }}
table = tf.lookup.StaticHashTable(
initializer=tf.lookup.KeyValueTensorInitializer(
keys=keys,
@ -44,7 +47,8 @@ def pathToLabel(path):
{{ else }}
ERROR
{{ end }}
return table.lookup(tf.strings.as_string([path]))
return tf.one_hot(table.lookup(tf.strings.as_string([path])) - diff, depth)[0]
def decode_image(img):
{{ if eq .Model.Format "png" }}
@ -161,7 +165,8 @@ ERROR
{{ end }}
model.compile(
loss=losses.SparseCategoricalCrossentropy(),
#loss=losses.SparseCategoricalCrossentropy(),
loss=losses.BinaryCrossentropy(from_logits=False),
optimizer=tf.keras.optimizers.Adam(),
metrics=['accuracy'])

5
webpage/src/lib/FileUpload.svelte
View File

@ -1,8 +1,9 @@
<script lang="ts">
let { replace_slot, accept, file } = $props<{
let { replace_slot, accept, file, notExpand } = $props<{
replace_slot?: boolean,
accept?: string,
file?: File,
notExpand?: boolean
}>();
let fileInput: HTMLInputElement;
@ -27,7 +28,7 @@
</script>
<div class="icon-holder">
<button class="icon" class:adapt={replace_slot && file} on:click={() => fileInput.click()}>
<button class="icon" class:adapt={replace_slot && file && !notExpand} on:click={() => fileInput.click()}>
{#if replace_slot && file}
<slot name="replaced" file={file}>
<img src={fileData} alt="" />

1
webpage/src/lib/requests.svelte.ts
View File

@ -42,6 +42,7 @@ export async function post(url: string, body: any) {
if (r.status === 401) {
userStore.user = undefined;
goto("/login")
throw r;
} else if (r.status !== 200) {
throw r;
}

3
webpage/src/routes/models/+page.svelte
View File

@ -39,7 +39,7 @@
New
</a>
</div>
<table>
<table class="table">
<thead>
<tr>
<th>
@ -101,4 +101,5 @@
height: calc(100% - 20px);
margin-top: 5px;
}
</style>

30
webpage/src/routes/models/edit/DeleteModel.svelte
View File

@ -1,15 +1,29 @@
<script lang="ts">
import MessageSimple from 'src/lib/MessageSimple.svelte';
import type { Model } from './+page.svelte';
import { rdelete } from '$lib/requests.svelte'
import { goto } from '$app/navigation';
let {model}: { model: Model } = $props();
let { model } = $props<{ model: Model }>();
let name: string = $state("");
let submmited: boolean = $state(false);
let nameDoesNotMatch: string = $state("");
function deleteModel() {
let messageSimple: MessageSimple;
async function deleteModel() {
submmited = true;
nameDoesNotMatch = "";
console.error("TODO")
messageSimple.display("");
try {
await rdelete("models/delete", {id: model.id, name});
goto("/models");
} catch (e) {
if (e instanceof Response) {
messageSimple.display(await e.json());
} else {
messageSimple.display("Could not delete the model");
}
}
}
</script>
@ -19,12 +33,8 @@
To delete this model please type "{model.name}":
</label>
<input name="name" id="name" required bind:value={name} />
{#if nameDoesNotMatch }
<span class="form-msg red">
Name does not match "{model.name}"
</span>
{/if}
</fieldset>
<MessageSimple bind:this={messageSimple} />
<button class="danger">
Delete
</button>

4
webpage/src/routes/models/edit/ModelData.svelte
View File

@ -127,12 +127,12 @@
...
</pre>
</div>
<FileUpload replace_slot bind:file={file} accept="application/zip" >
<FileUpload replace_slot bind:file={file} accept="application/zip" notExpand >
<img src="/imgs/upload-icon.png" alt="" />
<span>
Upload Zip File
</span>
<div slot="replaced">
<div slot="replaced" style="display: inline;">
<img src="/imgs/upload-icon.png" alt="" />
<span>
File selected

14
webpage/src/routes/models/edit/RunModel.svelte
View File

@ -8,7 +8,12 @@
let file: File | undefined = $state();
let result: string | undefined = $state();
type Result = {
class: string,
confidence: number,
}
let _result: Promise<Result | undefined> = $state(new Promise(() => {}));
let run = $state(false);
let messages: MessageSimple;
@ -25,7 +30,8 @@
run = true;
try {
result = await postFormData('models/run', form);
_result = await postFormData('models/run', form);
console.log(await _result);
} catch (e) {
if (e instanceof Response) {
messages.display(await e.json());
@ -60,6 +66,7 @@
Run
</button>
{#if run}
{#await _result then result}
{#if !result}
<div class="result">
<h1>
@ -71,8 +78,9 @@
<h1>
Result
</h1>
The image was classified as {result}
The image was classified as {result.class} with confidence: {result.confidence}
</div>
{/if}
{/await}
{/if}
</form>

30
webpage/src/styles/app.css
View File

@ -101,3 +101,33 @@ a.button {
.card h3 {
margin-top: 0;
}
.table {
width: 100%;
box-shadow: 0 2px 8px 1px #66666622;
border-radius: 10px;
border-collapse: collapse;
overflow: hidden;
}
.table thead {
background: #60606022;
}
.table tr td,
.table tr th {
border-left: 1px solid #22222244;
padding: 15px;
}
.table tr td:first-child,
.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;
}