Using Python to achieve automatic collection of ant forest energy, no longer need to worry about forgetting to collect

Watch the corner. 2020-11-16 10:06:50
using python achieve automatic collection

1. summary

When it comes to the ant forest , Everyone should know , Have you ever been charged by friends for forgetting to collect energy ?

If you're not an ant forest heavy user , Being charged by someone else may not mean much to you .

But if you're a heavy user of ant forest , Encounter energy stolen ...

In this article, let's take a look at how to use Python + Appium It can automatically collect the energy of ant forest .

2. Environmental Science

The main environment of this paper is as follows :

  • Win7
  • millet 5s
  • Python3.7
  • Appium1.5
  • Alipay

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3. Realization

The basic idea of function realization is as follows :

  • Open Alipay and enter ant forest , Take your own energy
  • After collecting your energy , Click Find energy to enter friend ant forest , Collect friends' energy , And so on

Let's take a look at the main code implementations .

The parameter configuration code is implemented as follows :

desired_caps = {
"platformName": "Android", # System
"platformVersion": "8.0.0", # System version number
"deviceName": "m5s", # Device name
"appPackage": "", # Package name
"appActivity": "AlipayLogin", # app When it starts, it's mainly Activity
'noReset': True # Retain session Information , You can avoid logging back in

Usually, ants will be placed on the front page of Alipay. , When we open Alipay, we can click on the ant forest option to enter. .

The code implementation is as follows :


After entering their own ant forest , Start to collect your energy , Because the new Alipay can't locate energy ball elements. , So we need to click in the area where the energy ball might appear . The code to collect energy is as follows :

# Collect energy
def collect_energy(driver):
print(' Start collecting energy ')
# Get the width and height of the phone screen
width = int(driver.get_window_size()['width'])
height = int(driver.get_window_size()['height'])
# The possible regional coordinates of the energy sphere
start_x = 110
end_x = 940
start_y = 460
end_y = 880
for i in range(start_y, end_y, 80):
for j in range(start_x, end_x, 80):
tap_x1 = int((int(j) / width) * width)
tap_y1 = int((int(i) / height) * height)
# Click to specify coordinates
driver.tap([(tap_x1, tap_y1), (tap_x1, tap_y1)], 1000)
print(' The energy is collected ')

After I collect my energy , Click on Looking for energy Enter the friend ant forest and continue to collect energy , The code implementation is as follows :

# Looking for energy
def search_energy(driver):
print(' Looking for energy , Collect friends' energy ')
# Click to find energy
driver.tap([(1000, 1520), (1080, 1580)], 1000)
# Collect friends' energy
# After collecting, keep looking for energy

After the function of energy collection is realized , We use the timing task to achieve timing collection , Let's take a look at the implementation of timing tasks .

We use the timing task  apscheduler  Components , It needs to be executed before use  pip install apscheduler  Put it on .

The code implementation of timing task is as follows :

scheduler = BlockingScheduler()
# collect_main: The method of timing execution
scheduler.add_job(collect_main, 'cron', hour=20, minute=23, second=20)
except (KeyboardInterrupt, SystemExit):

Here we are , We make use of Python + Appium The work of collecting the energy of ant forest automatically is completed .

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