用Python玩连连看是什么效果？别霍霍别人了
2020
07
22
今天距2021年162天
这是ITester软件测试小栈第144次推文
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本文5294字，阅读约需14分钟
作者：Laziji
源自：https://laboo.top/2018/11/07/lianliankan/
前言
连连看游戏纵览全局，扫到能够相连的相同图片，就用鼠标去点，先点第一个，再点第二个，随着“撕拉”一道闪电相连方块随即爆炸，爽的不要不要。
Python大法好，Java下这个代码大概需要2000行左右,而python算上注释也才300行而已。以下用Python 实现的qq连连看辅助, 仅用于学习, 请在练习模式下使用, 不要拿去伤害玩家们。
基本环境配置
版本：Python3.6
系统：Windows 7
相关模块
import PIL.ImageGrab
import 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, 在练习模式中使用, 否则可能会被其他玩家举报。
效果图
代码实现
游戏重点：
生成成对的图片元素；
将图片元素打乱排布；
定义什么才算“相连”（两张图片的连线不多于3跟直线，或者说转角不超过2个）；
实现“相连”判断算法；
消除图片元素并判断是否消除完毕；
import PIL.ImageGrab
import pyautogui
import win32api
import win32gui
import win32con
import time
import random
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)
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,然后模拟鼠标去消除, 代码的最后一行是每次点击的间隔。
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