import time
import os
from threading import Thread
from screeninfo import get_monitors
import pyautogui
import numpy as np
import cv2 as cv
from matplotlib import pyplot as plt
from core.Logger import Logger

FPS_REPORT_DELAY = 3

class Monitor:
  def __init__(self):
    self.logger = Logger("Monitor")
    self.monitor = None
    self.screenThread = None
    self.screenshot = None
    self.fps = None
    self.getMonitor()

  def getMonitor(self):
    for monitor in get_monitors():
      if (monitor.is_primary):
        self.monitor = monitor

  def updateScreen(self):
    self.logger.log("Monitor: Starting computer vision screen update...")
    self.logger.log("Monitor: Detected display resolution: " + str(self.monitor.width) + " x " + str(self.monitor.height))

    loopTime = time.time()
    fpsPrintTime = time.time()
    while True:
      newScreenshot = pyautogui.screenshot()
      newScreenshot = cv.cvtColor(np.array(newScreenshot), cv.COLOR_RGB2BGR)

      cv.imwrite("in_memory_to_disk.png", newScreenshot)
      self.screenshot = newScreenshot

      currTime = time.time()
      if currTime - fpsPrintTime >= FPS_REPORT_DELAY:
        self.fps = 1 / (currTime - loopTime)
        fpsPrintTime = currTime
      loopTime = currTime
  
  def startScreenCaptureThread(self):
    self.screenThread = Thread(target=self.updateScreen, name="Update screen thread", daemon=True)
    self.screenThread.start()
    self.logger.log("Main Agent: Thread started")

  def findMatch(self, img, method = "TM_CCOEFF_NORMED"):
    methodInt = getattr(cv, method)

    herePath = os.path.dirname(os.path.realpath(__file__))
    template = cv.imread(os.path.join(herePath, "assets", "FishTest3.png"), cv.IMREAD_GRAYSCALE)

    res = cv.matchTemplate(img, template, methodInt)
    w, h = template.shape[::-1]
    min_val, max_val, min_loc, max_loc = cv.minMaxLoc(res)

    # If the method is TM_SQDIFF or TM_SQDIFF_NORMED, take minimum
    if method in [cv.TM_SQDIFF, cv.TM_SQDIFF_NORMED]:
      top_left = min_loc
    else:
      top_left = max_loc
    bottom_right = (top_left[0] + w, top_left[1] + h)
 
    cv.rectangle(img,top_left, bottom_right, 255, 2)
 
    plt.subplot(121)
    plt.imshow(res,cmap = 'gray')
    plt.title('Matching Result')
    plt.xticks([])
    plt.yticks([])
    plt.subplot(122)
    plt.imshow(img,cmap = 'gray')
    plt.title('Detected Point')
    plt.xticks([])
    plt.yticks([])
    plt.suptitle(method)
    plt.show()

  def stopScreenCaptureThread(self):
    if (self.screenThread):
      self.screenThread.terminate()
      self.logger.log("Main Agent: Thread terminated")