Notes

import numpy as np
import win32api, win32con, time
import keyboard
import pyautogui
import cv2
from PIL import Image, ImageOps
import threading
import pytesseract
from pynput.keyboard import Key, Controller
import pyscreenshot

pytesseract.pytesseract.tesseract_cmd = 'C:/Program Files/Tesseract-OCR/tesseract.exe'
keyboard2 = Controller()

# mevcut_tus_index = 0
# tuslar= ["1","2","3","4",Key.f1,Key.f3,Key.f4]


def findMiddle(input_list):
middle = float(len(input_list))/2
if middle % 2 != 0:
return input_list[int(middle - .5)]
else:
return (input_list[int(middle)], input_list[int(middle-1)])
def click(x,y):
win32api.SetCursorPos((x,y))
time.sleep(0.03)
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTDOWN,x,y,0,0)
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTUP,x,y,0,0)
def OCR_kontrol(name):
ocr_x =0
ocr_y= 112
ocr_y_end = 126
ocr_x_end = 282
ocr_x_distance = 280
ocr_y_distance = 14
last_oltalama = time.time()
while(True):
# textim = pyautogui.screenshot(region=(ocr_x,ocr_y,ocr_x_distance,ocr_y_distance))
textim = pyscreenshot.grab(bbox=(ocr_x, ocr_y, ocr_x_end, ocr_y_end)) # X1,Y1,X2,Y2

text_content= pytesseract.image_to_string(textim, lang='tur')
# print(text_content)
if (text_content.find("Oltaya birşey") != -1):
print('oltaya_birsey')
keyboard2.press(Key.esc)
time.sleep(0.2)
keyboard2.release(Key.esc)
time.sleep(0.2)
# keyboard2.press(Key.ctrl)
# keyboard2.press('g')
# time.sleep(0.5)
# keyboard2.release(Key.ctrl)
# keyboard2.release('g')
# time.sleep(0.2)
# keyboard2.press(Key.ctrl)
# keyboard2.press('g')
# time.sleep(0.5)
# keyboard2.release(Key.ctrl)
# keyboard2.release('g')
if (text_content.find("Yemi kaybettin") != -1 or text_content.find("Balıkçılık puanınız") != -1):
print('yem kaybedildi')
keyboard2.press(Key.ctrl)
keyboard2.press('g')
time.sleep(0.15)
keyboard2.release(Key.ctrl)
keyboard2.release('g')
time.sleep(0.1)
keyboard2.press(Key.ctrl)
keyboard2.press('g')
time.sleep(0.15)
keyboard2.release(Key.ctrl)
keyboard2.release('g')
time.sleep(0.15)
keyboard2.press(Key.f1)
time.sleep(0.06)
keyboard2.release(Key.f1)
time.sleep(0.06)
keyboard2.press(Key.f2)
time.sleep(0.07)
keyboard2.release(Key.f2)
time.sleep(1.3)
last_oltalama = time.time()
if (text_content.find("takılmış gibi") != -1 and time.time() - last_oltalama >13):
print('oltaya_takilmis gibi')
keyboard2.press(Key.f1)
time.sleep(0.06)
keyboard2.release(Key.f1)
time.sleep(0.06)
# keyboard2.press(Key.f2)
# time.sleep(0.07)
# keyboard2.release(Key.f2)
# last_oltalama = time.time()
if (text_content.find("Çengele yem") != -1 and time.time() - last_oltalama >13):
print('çengele yem gibi')
keyboard2.press(Key.f2)
time.sleep(0.07)
keyboard2.release(Key.f2)
last_oltalama = time.time()
if (text_content.find("Şu anki yemi") != -1 and time.time() - last_oltalama >13):
print('çengele yem gibi')
keyboard2.press(Key.f2)
time.sleep(0.07)
keyboard2.release(Key.f2)
last_oltalama = time.time()
if (text_content.find("Balık tutarken") != -1 and time.time() - last_oltalama >13):
print('Balık tutarken')
keyboard2.press(Key.f1)
time.sleep(0.06)
keyboard2.release(Key.f1)
time.sleep(0.06)
# keyboard2.press(Key.f2)
# time.sleep(0.07)
# keyboard2.release(Key.f2)
# last_oltalama = time.time()

def Bot_action(asd):
x = 244
y = 207
distance = 128

# fps counter için
prev_frame_time = 0
new_frame_time = 0
last_tiklama = time.time()
# mask = Image.open('mask.png').convert('L')
mask = Image.open('mask2.png').convert('L')

while (True):

# try:
# # fish_location = pyautogui.locateOnScreen('balik.png', region=(x, y, x + distance, y + distance))
# fish_location = pyautogui.locateOnScreen('balik_tek_pixel.png', region=(x, y, x + distance, y + distance), confidence=0.4)
# print("balik var lokasyonu :" + fish_location)
# except:
# print('balik_yok')

# (60, 95, 122) pixel color of fish
# im = pyautogui.screenshot(region=(x, y, distance, distance))
im = pyscreenshot.grab(bbox=(x, y, x+distance, y+distance),backend="mss", childprocess=False) # X1,Y1,X2,Y2
output = ImageOps.fit(im, mask.size, centering=(0.5, 0.5))
# output.putalpha(mask)
output.putalpha(mask)
# output.save(r"outputdeneme.png")
# exit()
#
# output.save(r"denememask.png")
# exit()
# im = output
# im.save(r"deneme2.png")
# exit()
# px = im.getpixel((x, y))
tolorance = 2
color_tolorance = 5
# color = (60, 95, 122)
color = (54, 88, 123)
disari_cik = False
baliklok= []
for x_pixel in range(0, distance, tolorance):
for y_pixel in range(0, distance, tolorance):
# im.save(r"deneme.png")
px = output.getpixel((x_pixel, y_pixel))
# print(px)
# print(px)
# if pyautogui.pixelMatchesColor(x_pixel, y_pixel, (60, 95, 122), tolerance = 40):
# if px[0] :
if time.time() - last_tiklama > 0.5:
if color[0] - color_tolorance <= px[0] <= color[0] + color_tolorance:
if color[1] - color_tolorance <= px[1] <= color[1] + color_tolorance:
if color[2] - color_tolorance <= px[2] <= color[2] + color_tolorance:
# print("balik var location :"+str(x_pixel) + " - "+ str(y_pixel))
# print(str(time.time()-last_tiklama))
# if time.time()-last_tiklama>1:
# print('tiklandi')
# click(x + int(x_pixel), y + int(y_pixel))
# last_tiklama = time.time()
baliklok.append([int(x_pixel),int(y_pixel)])
# disari_cik = True
# break
# if disari_cik:
# break

# print(px)
if not not baliklok:
# print(baliklok)
middleIndex = (len(baliklok) - 1) / 2
if middleIndex % 2 != 0:
click(x+int(baliklok[int(middleIndex - .5)][0]), y + int(baliklok[int(middleIndex - .5)][1]))
else:
click(x + int(baliklok[int(middleIndex)][0]), y + int(baliklok[int(middleIndex)][1]))
# print(middleIndex)
last_tiklama = time.time()


# new_frame_time = time.time()
# fps = 1 / (new_frame_time - prev_frame_time)
# prev_frame_time = new_frame_time
# fps = str(fps)
# print(fps)

y = threading.Thread(target=Bot_action, args=(1,))
y.start()
x = threading.Thread(target=OCR_kontrol, args=(1,))
x.start()

y.join()
x.join()