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from PyQt5.QtCore import QSize, QRunnable, Qt, QThreadPool, QObject, pyqtSignal, pyqtSlot, QThread
import numpy as np
from PyQt5.QtWidgets import QApplication, QMainWindow, QPushButton, QFrame, QComboBox, QLabel, QWidget, QVBoxLayout, QHBoxLayout, QGridLayout, QFileDialog, QProgressBar
from PyQt5.QtGui import QPixmap, QImage
import cv2
import sys
from Relatorio import Relatorio
import json

from model_manager import ModelManager
from explicador import Explicador


class Classify(QObject):
    
    sg_progess_bar = pyqtSignal(int, str)
    sg_update_image = pyqtSignal(QImage)
    sg_report = pyqtSignal(str, float)

    str_loading_model = "LOADING MODEL"
    str_predicting = "PREDICTING"
    str_doing_report = "CONFIGURING REPORT"
    str_explaining = "EXPLAINING"
    str_showing_explanation = "SHOWING EXPLANATION"
    str_finished = "FINISHED"

    def __init__(self, model_manager, model_info, explicador, image, name_explainer):
        super().__init__()
        self.MODEL_MANAGER = model_manager
        self.EXPLICADOR = explicador
        self.model_info = model_info
        self.image = image
        self.name_explainer = name_explainer


    def run(self):
        self.sg_progess_bar.emit(0, self.str_loading_model)
        #obtem o modelo
        model = self.MODEL_MANAGER.configure_model(self.model_info["name"], 
                                                        self.model_info["directory"],
                                                        self.model_info["size"],
                                                        self.model_info["type"])

        #faz a predicao
        self.sg_progess_bar.emit(20, self.str_predicting)
        predicted = self.MODEL_MANAGER.make_prediction(self.model_info["name"], self.image)

        #atualiza relatorio
        self.sg_progess_bar.emit(40, self.str_doing_report)
        self.sg_report.emit(predicted["class_name"], predicted["score"])
        #obtem a explicacao
        self.sg_progess_bar.emit(60, self.str_explaining)
        if self.name_explainer == "Grad-CAM" or self.name_explainer == "Grad-CAM++":
            props = {
                "conv_layer":self.model_info["last_conv"]
            }
        elif self.name_explainer == "LIME":
            props = {
                "undo_changes":model["undo_changes"]
            }
        else:
            props = {}
        explanation = self.EXPLICADOR.get_explanation(self.image, model["model"], model["size"], self.name_explainer, model["preprocessing"], props=props)
        
        self.sg_progess_bar.emit(80, self.str_showing_explanation)
        #exibe a imagem na tela
        explanation = np.asarray(explanation)
        height, width, channel = explanation.shape
        bytesPerLine = 3 * width
        explanation = QImage(explanation.data, width, height, bytesPerLine, QImage.Format_RGB888).rgbSwapped()
        self.sg_progess_bar.emit(100, self.str_finished)
        self.sg_update_image.emit(explanation)
        


# Subclass QMainWindow to customize your application's main window
class MainWindow(QMainWindow):
    select_image_str = "select image"
    model_str = "select model"
    xai_str = "select explainer"
    bt_image_str = "select"
    run_str = "RUN"

    str_title = "Grapevine Classification"

    MODEL_MANAGER = ModelManager()
    EXPLICADOR = Explicador()

    def __init__(self):
        super().__init__()

        self.setWindowTitle(self.str_title)
        self.setFixedSize(QSize(600, 600))

        #central widget
        self.central_widget = QWidget()               
        self.setCentralWidget(self.central_widget)
        central_layout = QHBoxLayout(self.central_widget)

        #principais layouts
        self.left_layout = QVBoxLayout()

        self.image_layout = QHBoxLayout()
        self.model_layout = QHBoxLayout()
        self.xai_layout = QHBoxLayout()

        self.run_layout = QGridLayout()

        #componentes iterativos
        self.select_image_button = QPushButton()
        self.select_image_button.setText(self.bt_image_str)

        self.select_model_combobox = QComboBox()
        self.select_xai_combobox = QComboBox()
        
        self.select_run = QPushButton()
        self.select_run.setText(self.run_str)
        self.select_run.setStyleSheet("background-color: gray; color: black;")
        self.select_run.setEnabled(False)

        self.progress_bar = QProgressBar()
        self.progress_bar.setAlignment(Qt.AlignCenter)

        #componentes nao iterativos
        self.select_image_label = QLabel()
        self.select_image_label.setText(self.select_image_str)

        self.select_model_label = QLabel()
        self.select_model_label.setText(self.model_str)

        self.select_xai_label = QLabel()
        self.select_xai_label.setText(self.xai_str)

        #visualizador da imagem
        self.visualiza_imagem = QLabel()

        #relatorio
        self.relatorio_widget = Relatorio()
        
        #delete after
        self.relatorio_widget.configure('', 0)
        
        #povoa layouts
        self.image_layout.addWidget(self.select_image_label)
        self.image_layout.addWidget(self.select_image_button)

        self.model_layout.addWidget(self.select_model_label)
        self.model_layout.addWidget(self.select_model_combobox)

        self.xai_layout.addWidget(self.select_xai_label)
        self.xai_layout.addWidget(self.select_xai_combobox)

        self.run_layout.addWidget(self.select_run, 0, 3)

        self.left_layout.addLayout(self.image_layout)
        self.left_layout.addLayout(self.model_layout)
        self.left_layout.addLayout(self.xai_layout)
        self.left_layout.addWidget(self.progress_bar)
        self.left_layout.addLayout(self.run_layout)
        self.left_layout.addWidget(self.relatorio_widget)
        self.relatorio_widget.hide_labels()

        central_layout.addLayout(self.left_layout)
        central_layout.addWidget(self.visualiza_imagem)

        #carrega configuracoes 
        self.carrega_configuracoes()

        #define outras variáveis
        self.image = None

        #define iteractive actions actions
        self.define_actions()

        
    
    #metodo que seta imagem que vai ser visualizada
    def view_image(self, img):
        pixmap = QPixmap(img)
        pixmap = pixmap.scaled(300, 300)
        self.visualiza_imagem.setPixmap(pixmap)

    def carrega_configuracoes(self):
        self.path_config = "config.json"
        if len(sys.argv) > 1:
            self.path_config = sys.argv[1]
        
        f = open(self.path_config)
        self.configs = json.load(f)
        f.close()
        models = [x["name"] for x in self.configs["models"]]
        self.select_model_combobox.addItems(models)

        self.select_xai_combobox.addItems(self.EXPLICADOR.get_explainers_name())
        self.models = self.configs["models"]
        self.MODEL_MANAGER.configure_classes(self.configs["classes"])
    
    #define acoes dos botoes
    def define_actions(self):
        self.select_image_button.clicked.connect(self.open_image)
        self.select_run.clicked.connect(self.execute)

    #metodo que abre a janela para selecionar o arquivo
    def open_image(self):
        fname = QFileDialog.getOpenFileName(self, self.select_image_str,
            filter="Image files (*.jpg *.tiff *.jpeg *.bmp *.png)")
        print(fname)
        self.image = fname[0]
        self.view_image(self.image)
        self.relatorio_widget.hide_labels()
        self.select_run.setStyleSheet("background-color: green; color: white;")
        self.select_run.setEnabled(True)

    #update da progress bar
    @pyqtSlot(int, str)
    def update_progress(self, progress, text):
        self.progress_bar.setValue(progress)
        self.progress_bar.setFormat(text)

    #faz update da imagem
    @pyqtSlot(QImage)
    def receive_image(self, img):
        self.view_image(img)
        self.progress_bar.setTextVisible(False)
    
    @pyqtSlot(str, float)
    def update_relatorio(self, pred_class, score):
        self.relatorio_widget.configure(pred_class, score)

    #metodo que executa as coisas
    def execute(self):
        self.progress_bar.setTextVisible(True)
        model = self.models[self.select_model_combobox.currentIndex()]
        name_explainer = str(self.select_xai_combobox.currentText())

        
        
        # Step 2: Create a QThread object
        self.thread = QThread(parent=self)
        # Step 3: Create a worker object
        self.worker = Classify(self.MODEL_MANAGER, model, self.EXPLICADOR, self.image, name_explainer)
        self.worker.sg_progess_bar.connect(self.update_progress)
        self.worker.sg_update_image.connect(self.receive_image)
        self.worker.sg_report.connect(self.update_relatorio)
        # Step 4: Move worker to the thread
        self.worker.moveToThread(self.thread)
        # Step 5: Connect signals and slots
        self.thread.started.connect(self.worker.run)
        # Step 6: Start the thread
        self.thread.start()
    


app = QApplication(sys.argv)

window = MainWindow()
window.show()

app.exec()