基本环境配置
版本：Python3.6
系统：Windows
相关模块：
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import PIL.ImageGrabimport pyautogui
import win32api
import win32gui
import win32con
import time
import random
使用方法
开始游戏后运行就行了, 再次提示, 请在练习模式中使用, 否则可能会被其他玩家举报
效果图
image
image
代码实现
import PIL.ImageGrab
import pyautogui
import win32api
import win32gui
import win32con
import time
import random
'''
想要学习Python？Python学习交流群：452739833满足你的需求，资料都已经上传群文件流，可以自行下载！
'''
def color_hash(color):
value = ""
for i in range(5):
value += "%d,%d,%d," % (color[0], color[1], color[2])
return hash(value)
def image_hash(img):
value = ""
for i in range(5):
c = img.getpixel((i * 3, i * 3))
value += "%d,%d,%d," % (c[0], c[1], c[2])
return hash(value)
def game_area_image_to_matrix():
pos_to_image = {}
for row in range(ROW_NUM):
pos_to_image[row] = {}
for col in range(COL_NUM):
grid_left = col * grid_width
grid_top = row * grid_height
grid_right = grid_left + grid_width
grid_bottom = grid_top + grid_height
grid_image = game_area_image.crop((grid_left, grid_top, grid_right, grid_bottom))
pos_to_image[row][col] = grid_image
pos_to_type_id = {}
image_map = {}
empty_hash = color_hash((48, 76, 112))
for row in range(ROW_NUM):
pos_to_type_id[row] = {}
for col in range(COL_NUM):
this_image = pos_to_image[row][col]
this_image_hash = image_hash(this_image)
if this_image_hash == empty_hash:
pos_to_type_id[row][col] = 0
continue
image_map.setdefault(this_image_hash, len(image_map) + 1)
pos_to_type_id[row][col] = image_map.get(this_image_hash)
return pos_to_type_id
def solve_matrix_one_step():
for key in map:
arr = map[key]
arr_len = len(arr)
for index1 in range(arr_len - 1):
point1 = arr[index1]
x1 = point1[0]
y1 = point1[1]
for index2 in range(index1 + 1, arr_len):
point2 = arr[index2]
x2 = point2[0]
y2 = point2[1]
if verifying_connectivity(x1, y1, x2, y2):
arr.remove(point1)
arr.remove(point2)
matrix[y1][x1] = 0
matrix[y2][x2] = 0
if arr_len == 2:
map.pop(key)
return y1, x1, y2, x2
def verifying_connectivity(x1, y1, x2, y2):
max_y1 = y1
while max_y1 + 1 < ROW_NUM and matrix[max_y1 + 1][x1] == 0:
max_y1 += 1
min_y1 = y1
while min_y1 - 1 >= 0 and matrix[min_y1 - 1][x1] == 0:
min_y1 -= 1
max_y2 = y2
while max_y2 + 1 < ROW_NUM and matrix[max_y2 + 1][x2] == 0:
max_y2 += 1
min_y2 = y2
while min_y2 - 1 >= 0 and matrix[min_y2 - 1][x2] == 0:
min_y2 -= 1
rg_min_y = max(min_y1, min_y2)
rg_max_y = min(max_y1, max_y2)
if rg_max_y >= rg_min_y:
for index_y in range(rg_min_y, rg_max_y + 1):
min_x = min(x1, x2)
max_x = max(x1, x2)
flag = True
for index_x in range(min_x + 1, max_x):
if matrix[index_y][index_x] != 0:
flag = False
break
if flag:
return True
max_x1 = x1
while max_x1 + 1 < COL_NUM and matrix[y1][max_x1 + 1] == 0:
max_x1 += 1
min_x1 = x1
while min_x1 - 1 >= 0 and matrix[y1][min_x1 - 1] == 0:
min_x1 -= 1
max_x2 = x2
while max_x2 + 1 < COL_NUM and matrix[y2][max_x2 + 1] == 0:
max_x2 += 1
min_x2 = x2
while min_x2 - 1 >= 0 and matrix[y2][min_x2 - 1] == 0:
min_x2 -= 1
rg_min_x = max(min_x1, min_x2)
rg_max_x = min(max_x1, max_x2)
if rg_max_x >= rg_min_x:
for index_x in range(rg_min_x, rg_max_x + 1):
min_y = min(y1, y2)
max_y = max(y1, y2)
flag = True
for index_y in range(min_y + 1, max_y):
if matrix[index_y][index_x] != 0:
flag = False
break
if flag:
return True
return False
def execute_one_step(one_step):
from_row, from_col, to_row, to_col = one_step
from_x = game_area_left + (from_col + 0.5) * grid_width
from_y = game_area_top + (from_row + 0.5) * grid_height
to_x = game_area_left + (to_col + 0.5) * grid_width
to_y = game_area_top + (to_row + 0.5) * grid_height
pyautogui.moveTo(from_x, from_y)
pyautogui.click()
pyautogui.moveTo(to_x, to_y)
pyautogui.click()
if __name__ == '__main__':
COL_NUM = 19
ROW_NUM = 11
screen_width = win32api.GetSystemMetrics(0)
screen_height = win32api.GetSystemMetrics(1)
hwnd = win32gui.FindWindow(win32con.NULL, 'QQ游戏 - 连连看角色版')
if hwnd == 0:
exit(-1)
win32gui.ShowWindow(hwnd, win32con.SW_RESTORE)
win32gui.SetForegroundWindow(hwnd)
window_left, window_top, window_right, window_bottom = win32gui.GetWindowRect(hwnd)
if min(window_left, window_top) < 0 or window_right > screen_width or window_bottom > screen_height:
exit(-1)
window_width = window_right - window_left
window_height = window_bottom - window_top
game_area_left = window_left + 14.0 / 800.0 * window_width
game_area_top = window_top + 181.0 / 600.0 * window_height
game_area_right = window_left + 603 / 800.0 * window_width
game_area_bottom = window_top + 566 / 600.0 * window_height
game_area_width = game_area_right - game_area_left
game_area_height = game_area_bottom - game_area_top
grid_width = game_area_width / COL_NUM
grid_height = game_area_height / ROW_NUM
game_area_image = PIL.ImageGrab.grab((game_area_left, game_area_top, game_area_right, game_area_bottom))
matrix = game_area_image_to_matrix()
map = {}
for y in range(ROW_NUM):
for x in range(COL_NUM):
grid_id = matrix[y][x]
if grid_id == 0:
continue
map.setdefault(grid_id, [])
arr = map[grid_id]
arr.append([x, y])
pyautogui.PAUSE = 0
while True:
one_step = solve_matrix_one_step()
if not one_step:
exit(0)
execute_one_step(one_step)
time.sleep(random.randint(0,0)/1000)
[图片上传中...(image-8d42f2-1548642904066-0)]
import PIL.ImageGrab
import pyautogui
import win32api
import win32gui
import win32con
import time
import random
'''
想要学习Python？Python学习交流群：452739833满足你的需求，资料都已经上传群文件流，可以自行下载！
'''
def color_hash(color):
value = ""
for i in range(5):
value += "%d,%d,%d," % (color[0], color[1], color[2])
return hash(value)
def image_hash(img):
value = ""
for i in range(5):
c = img.getpixel((i * 3, i * 3))
value += "%d,%d,%d," % (c[0], c[1], c[2])
return hash(value)
def game_area_image_to_matrix():
pos_to_image = {}
for row in range(ROW_NUM):
pos_to_image[row] = {}
for col in range(COL_NUM):
grid_left = col * grid_width
grid_top = row * grid_height
grid_right = grid_left + grid_width
grid_bottom = grid_top + grid_height
grid_image = game_area_image.crop((grid_left, grid_top, grid_right, grid_bottom))
pos_to_image[row][col] = grid_image
pos_to_type_id = {}
image_map = {}
empty_hash = color_hash((48, 76, 112))
for row in range(ROW_NUM):
pos_to_type_id[row] = {}
for col in range(COL_NUM):
this_image = pos_to_image[row][col]
this_image_hash = image_hash(this_image)
if this_image_hash == empty_hash:
pos_to_type_id[row][col] = 0
continue
image_map.setdefault(this_image_hash, len(image_map) + 1)
pos_to_type_id[row][col] = image_map.get(this_image_hash)
return pos_to_type_id
def solve_matrix_one_step():
for key in map:
arr = map[key]
arr_len = len(arr)
for index1 in range(arr_len - 1):
point1 = arr[index1]
x1 = point1[0]
y1 = point1[1]
for index2 in range(index1 + 1, arr_len):
point2 = arr[index2]
x2 = point2[0]
y2 = point2[1]
if verifying_connectivity(x1, y1, x2, y2):
arr.remove(point1)
arr.remove(point2)
matrix[y1][x1] = 0
matrix[y2][x2] = 0
if arr_len == 2:
map.pop(key)
return y1, x1, y2, x2
def verifying_connectivity(x1, y1, x2, y2):
max_y1 = y1
while max_y1 + 1 < ROW_NUM and matrix[max_y1 + 1][x1] == 0:
max_y1 += 1
min_y1 = y1
while min_y1 - 1 >= 0 and matrix[min_y1 - 1][x1] == 0:
min_y1 -= 1
max_y2 = y2
while max_y2 + 1 < ROW_NUM and matrix[max_y2 + 1][x2] == 0:
max_y2 += 1
min_y2 = y2
while min_y2 - 1 >= 0 and matrix[min_y2 - 1][x2] == 0:
min_y2 -= 1
rg_min_y = max(min_y1, min_y2)
rg_max_y = min(max_y1, max_y2)
if rg_max_y >= rg_min_y:
for index_y in range(rg_min_y, rg_max_y + 1):
min_x = min(x1, x2)
max_x = max(x1, x2)
flag = True
for index_x in range(min_x + 1, max_x):
if matrix[index_y][index_x] != 0:
flag = False
break
if flag:
return True
max_x1 = x1
while max_x1 + 1 < COL_NUM and matrix[y1][max_x1 + 1] == 0:
max_x1 += 1
min_x1 = x1
while min_x1 - 1 >= 0 and matrix[y1][min_x1 - 1] == 0:
min_x1 -= 1
max_x2 = x2
while max_x2 + 1 < COL_NUM and matrix[y2][max_x2 + 1] == 0:
max_x2 += 1
min_x2 = x2
while min_x2 - 1 >= 0 and matrix[y2][min_x2 - 1] == 0:
min_x2 -= 1
rg_min_x = max(min_x1, min_x2)
rg_max_x = min(max_x1, max_x2)
if rg_max_x >= rg_min_x:
for index_x in range(rg_min_x, rg_max_x + 1):
min_y = min(y1, y2)
max_y = max(y1, y2)
flag = True
for index_y in range(min_y + 1, max_y):
if matrix[index_y][index_x] != 0:
flag = False
break
if flag:
return True
return False
def execute_one_step(one_step):
from_row, from_col, to_row, to_col = one_step
from_x = game_area_left + (from_col + 0.5) * grid_width
from_y = game_area_top + (from_row + 0.5) * grid_height
to_x = game_area_left + (to_col + 0.5) * grid_width
to_y = game_area_top + (to_row + 0.5) * grid_height
pyautogui.moveTo(from_x, from_y)
pyautogui.click()
pyautogui.moveTo(to_x, to_y)
pyautogui.click()
if name == 'main':
COL_NUM = 19
ROW_NUM = 11
screen_width = win32api.GetSystemMetrics(0)
screen_height = win32api.GetSystemMetrics(1)
hwnd = win32gui.FindWindow(win32con.NULL, 'QQ游戏 - 连连看角色版')
if hwnd == 0:
exit(-1)
win32gui.ShowWindow(hwnd, win32con.SW_RESTORE)
win32gui.SetForegroundWindow(hwnd)
window_left, window_top, window_right, window_bottom = win32gui.GetWindowRect(hwnd)
if min(window_left, window_top) < 0 or window_right > screen_width or window_bottom > screen_height:
exit(-1)
window_width = window_right - window_left
window_height = window_bottom - window_top
game_area_left = window_left + 14.0 / 800.0 * window_width
game_area_top = window_top + 181.0 / 600.0 * window_height
game_area_right = window_left + 603 / 800.0 * window_width
game_area_bottom = window_top + 566 / 600.0 * window_height
game_area_width = game_area_right - game_area_left
game_area_height = game_area_bottom - game_area_top
grid_width = game_area_width / COL_NUM
grid_height = game_area_height / ROW_NUM
game_area_image = PIL.ImageGrab.grab((game_area_left, game_area_top, game_area_right, game_area_bottom))
matrix = game_area_image_to_matrix()
map = {}
for y in range(ROW_NUM):
for x in range(COL_NUM):
grid_id = matrix[y][x]
if grid_id == 0:
continue
map.setdefault(grid_id, [])
arr = map[grid_id]
arr.append([x, y])
pyautogui.PAUSE = 0
while True:
one_step = solve_matrix_one_step()
if not one_step:
exit(0)
execute_one_step(one_step)
time.sleep(random.randint(0,0)/1000)
(左右滑动可查看完整代码)
主要思路就是利用pywin32获取连连看游戏句柄, 获取游戏界面的图片, 对方块进行切割, 对每个方块取几个点的颜色进行比对, 均相同则认为是同一个方块,
然后模拟鼠标去消就行了, 代码的最后一行是每次点击的间隔
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