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feat: add tasks closes #74

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This commit is contained in:
Andre Henriques
2024-04-12 20:36:23 +01:00
parent 143ad3b02b
commit eb20c1b0ac
21 changed files with 986 additions and 232 deletions
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225
logic/models/run.go
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@@ -1,12 +1,12 @@
package models
import (
"bytes"
"io"
"errors"
"os"
"path"
. "git.andr3h3nriqu3s.com/andr3/fyp/logic/models/utils"
. "git.andr3h3nriqu3s.com/andr3/fyp/logic/tasks/utils"
. "git.andr3h3nriqu3s.com/andr3/fyp/logic/utils"
tf "github.com/galeone/tensorflow/tensorflow/go"
@@ -35,7 +35,7 @@ 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, 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
@@ -62,7 +62,7 @@ func runModelNormal(c *Context, model *BaseModel, def_id string, inputImage *tf.
return
}
func runModelExp(c *Context, model *BaseModel, def_id string, inputImage *tf.Tensor) (order int, confidence float32, err error) {
func runModelExp(base BasePack, model *BaseModel, def_id string, inputImage *tf.Tensor) (order int, confidence float32, err error) {
err = nil
order = 0
@@ -82,12 +82,12 @@ func runModelExp(c *Context, model *BaseModel, def_id string, inputImage *tf.Ten
Range_start int
}
heads, err := GetDbMultitple[head](c, "exp_model_head where def_id=$1;", def_id)
heads, err := GetDbMultitple[head](base.GetDb(), "exp_model_head where def_id=$1;", def_id)
if err != nil {
return
}
c.Logger.Info("test", "count", len(heads))
base.GetLogger().Info("test", "count", len(heads))
var vmax float32 = 0.0
@@ -102,9 +102,8 @@ 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("predictions", "class", i, "preds", v)
base.GetLogger().Debug("predictions", "class", i, "preds", v)
if v > vmax {
order = element.Range_start + i
vmax = v
@@ -115,139 +114,105 @@ 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), "order", order, "vmax", vmax)
base.GetLogger().Debug("Got", "heads", len(heads), "order", order, "vmax", vmax)
return
}
func handleRun(handle *Handle) {
handle.Post("/models/run", func(c *Context) *Error {
if !c.CheckAuthLevel(1) {
return nil
}
func ClassifyTask(base BasePack, task Task) (err error) {
task.UpdateStatusLog(base, TASK_RUNNING, "Runner running task")
read_form, err := c.R.MultipartReader()
model, err := GetBaseModel(base.GetDb(), task.ModelId)
if err != nil {
task.UpdateStatusLog(base, TASK_FAILED_RUNNING, "Failed to obtain the model")
return err
}
if !model.CanEval() {
task.UpdateStatusLog(base, TASK_FAILED_RUNNING, "Failed to obtain the model")
return errors.New("Model not in the right state for evaluation")
}
def := JustId{}
err = GetDBOnce(base.GetDb(), &def, "model_definition where model_id=$1", model.Id)
if err != nil {
task.UpdateStatusLog(base, TASK_FAILED_RUNNING, "Failed to obtain the model")
return
}
def_id := def.Id
// TODO create a database table with tasks
run_path := path.Join("/tmp", model.Id, "runs")
os.MkdirAll(run_path, os.ModePerm)
img_path := path.Join("savedData", model.Id, "tasks", task.Id+"."+model.Format)
root := tg.NewRoot()
var tf_img *image.Image = nil
switch model.Format {
case "png":
tf_img = ReadPNG(root, img_path, int64(model.ImageMode))
case "jpeg":
tf_img = ReadJPG(root, img_path, int64(model.ImageMode))
default:
task.UpdateStatusLog(base, TASK_FAILED_RUNNING, "Failed to obtain the model")
}
exec_results := tg.Exec(root, []tf.Output{tf_img.Value()}, nil, &tf.SessionOptions{})
inputImage, err := tf.NewTensor(exec_results[0].Value())
if err != nil {
task.UpdateStatusLog(base, TASK_FAILED_RUNNING, "Failed to run model")
return
}
vi := -1
var confidence float32 = 0
if model.ModelType == 2 {
base.GetLogger().Info("Running model normal", "model", model.Id, "def", def_id)
vi, confidence, err = runModelExp(base, model, def_id, inputImage)
if err != nil {
return c.JsonBadRequest("Invalid muilpart body")
task.UpdateStatusLog(base, TASK_FAILED_RUNNING, "Failed to run model")
return
}
var id string
var file []byte
for {
part, err_part := read_form.NextPart()
if err_part == io.EOF {
break
} else if err_part != nil {
return c.JsonBadRequest("Invalid multipart data")
}
if part.FormName() == "id" {
buf := new(bytes.Buffer)
buf.ReadFrom(part)
id = buf.String()
}
if part.FormName() == "file" {
buf := new(bytes.Buffer)
buf.ReadFrom(part)
file = buf.Bytes()
}
}
model, err := GetBaseModel(handle.Db, id)
if err == ModelNotFoundError {
return c.JsonBadRequest("Models not found")
} else if err != nil {
return c.Error500(err)
}
if model.Status != READY && model.Status != READY_RETRAIN && model.Status != READY_RETRAIN_FAILED && model.Status != READY_ALTERATION && model.Status != READY_ALTERATION_FAILED {
return c.JsonBadRequest("Model not ready to run images")
}
def := JustId{}
err = GetDBOnce(c, &def, "model_definition where model_id=$1", model.Id)
if err == NotFoundError {
return c.JsonBadRequest("Could not find definition")
} else if err != nil {
return c.Error500(err)
}
def_id := def.Id
// TODO create a database table with tasks
run_path := path.Join("/tmp", model.Id, "runs")
os.MkdirAll(run_path, os.ModePerm)
img_path := path.Join(run_path, "img."+model.Format)
img_file, err := os.Create(img_path)
} else {
base.GetLogger().Info("Running model normal", "model", model.Id, "def", def_id)
vi, confidence, err = runModelNormal(base, model, def_id, inputImage)
if err != nil {
return c.Error500(err)
task.UpdateStatusLog(base, TASK_FAILED_RUNNING, "Failed to run model")
return
}
defer img_file.Close()
img_file.Write(file)
}
if !testImgForModel(c, model, img_path) {
return c.JsonBadRequest("Provided image does not match the model")
}
var GetName struct {
Name string
Id string
}
err = GetDBOnce(base.GetDb(), &GetName, "model_classes where model_id=$1 and class_order=$2;", model.Id, vi)
if err != nil {
task.UpdateStatusLog(base, TASK_FAILED_RUNNING, "Failed to obtain model results")
return
}
root := tg.NewRoot()
returnValue := struct {
ClassId string `json:"class_id"`
Class string `json:"class"`
Confidence float32 `json:"confidence"`
}{
Class: GetName.Name,
ClassId: GetName.Id,
Confidence: confidence,
}
var tf_img *image.Image = nil
err = task.SetResult(base, returnValue)
if err != nil {
task.UpdateStatusLog(base, TASK_FAILED_RUNNING, "Failed to save model results")
return
}
switch model.Format {
case "png":
tf_img = ReadPNG(root, img_path, int64(model.ImageMode))
case "jpeg":
tf_img = ReadJPG(root, img_path, int64(model.ImageMode))
default:
panic("Not sure what to do with '" + model.Format + "'")
}
task.UpdateStatusLog(base, TASK_DONE, "Model ran successfully")
exec_results := tg.Exec(root, []tf.Output{tf_img.Value()}, nil, &tf.SessionOptions{})
inputImage, err := tf.NewTensor(exec_results[0].Value())
if err != nil {
return c.Error500(err)
}
vi := -1
var confidence float32 = 0
if model.ModelType == 2 {
c.Logger.Info("Running model normal", "model", model.Id, "def", def_id)
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, confidence, err = runModelNormal(c, model, def_id, inputImage)
if err != nil {
return c.Error500(err)
}
}
os.RemoveAll(run_path)
rows, err := handle.Db.Query("select name from model_classes where model_id=$1 and class_order=$2;", model.Id, vi)
if err != nil {
return c.Error500(err)
}
if !rows.Next() {
return c.SendJSON(nil)
}
var name string
if err = rows.Scan(&name); err != nil {
return c.Error500(err)
}
returnValue := struct {
Class string `json:"class"`
Confidence float32 `json:"confidence"`
}{
Class: name,
Confidence: confidence,
}
return c.SendJSON(returnValue)
})
return
}