feat: 抖音三种方式登录实现 & 抖音滑块模拟滑动实现

.gitignore

@@ -162,3 +162,4 @@ cython_debug/
 *.xml
 *.iml
 .idea
+/temp_image/

README.md

@@ -23,10 +23,11 @@
 - [x] 抖音Sign请求签名
 - [x] 代理池实现（手机号+IP）
 - [x] 并发执行爬虫请求
+- [x] 抖音登录（二维码、手机号、cookies）
+- [x] 抖音滑块（模拟滑动实现，准确率不太OK）
 
 ## 待实现
 
-- [ ] 抖音登录（滑块）
 - [ ] 数据持久化到硬盘
 
 ## 使用方法
@@ -44,40 +45,40 @@
 ```
 MediaCrawler
 ├── base 
-│   ├── base_crawler.py # 项目的抽象类
+│   ├── base_crawler.py         # 项目的抽象类
-│   └── proxy_account_pool.py # 账号与IP代理池
+│   └── proxy_account_pool.py   # 账号与IP代理池
 ├── config 
-│   ├── account_config.py # 基础配置
+│   ├── account_config.py       # 基础配置
-│   └── base_config.py # 账号池配置
+│   └── base_config.py          # 账号池配置
 ├── images 
 │   ├── douyin.gif
 │   └── xiaohongshu.git
 ├── libs 
-│   ├── douyin.js # 抖音Sign函数
+│   ├── douyin.js               # 抖音Sign函数
-│   └── stealth.min.js # 去除浏览器自动化特征的JS
+│   └── stealth.min.js          # 去除浏览器自动化特征的JS
 ├── media_platform
-│   ├── douyin # 抖音crawler实现
+│   ├── douyin                  # 抖音crawler实现
-│   │   ├── client.py # 抖音API httpx 请求封装
+│   │   ├── client.py           # httpx 请求封装
-│   │   ├── core.py # 抖音crawler的核心实现
+│   │   ├── core.py             # 核心实现
-│   │   ├── exception.py # 抖音crawler的异常处理
+│   │   ├── exception.py        # 异常处理
-│   │   ├── field.py # 抖音crawler的字段定义
+│   │   ├── field.py            # 字段定义
-│   │   └── login.py # 抖音crawler的登录实现  
+│   │   └── login.py            # 登录实现  
-│   └── xiaohongshu # 小红书crawler实现
+│   └── xiaohongshu             # 小红书crawler实现
-│       ├── client.py # 小红书API httpx 请求封装
+│       ├── client.py           # API httpx 请求封装
-│       ├── core.py # 小红书crawler的核心实现
+│       ├── core.py             # 核心实现
-│       ├── exception.py # 小红书crawler的异常处理
+│       ├── exception.py        # 异常处理
-│       ├── field.py # 小红书crawler的字段定义
+│       ├── field.py            # 字段定义
-│       ├── help.py # 小红书crawler的辅助函数
+│       ├── help.py             # 辅助函数
-│       └── login.py # 小红书crawler的登录实现
+│       └── login.py            # 登录实现
 ├── modles 
 │   ├── douyin
 │   │   └── m_douyin.py
 │   └── xhs
 │       └── m_xhs.py
 ├── tools
-│   └── utils.py # 工具函数
+│   └── utils.py                # 工具函数
-├── main.py # 程序入口
+├── main.py                     # 程序入口
-└── recv_sms_notification.py # 短信转发器的HTTP SERVER接口
+└── recv_sms_notification.py    # 短信转发器的HTTP SERVER接口
 ```
 
 ## 小红书运行截图
@@ -116,8 +117,7 @@ MediaCrawler
 备注：
 
 - 小红书这边一个手机号一天只能发10条短信（悠着点），目前在发验证码时还未触发滑块验证，估计多了之后也会有~
--
+- 短信转发软件会不会监控自己手机上其他短信内容？（理论上应该不会，因为[短信转发仓库](https://github.com/pppscn/SmsForwarder)
-短信转发软件会不会监控自己手机上其他短信内容？（理论上应该不会，因为[短信转发仓库](https://github.com/pppscn/SmsForwarder)
 star还是蛮多的）
 
 

media_platform/douyin/core.py

@@ -49,13 +49,25 @@ class DouYinCrawler(AbstractCrawler):
         return phone, playwright_proxy, httpx_proxy
 
     async def start(self):
-        account_phone, playwright_proxy, httpx_proxy = self.create_proxy_info()
+        # phone: 1340xxxx, ip_proxy: 47.xxx.xxx.xxx:8888
+        account_phone, ip_proxy = self.account_pool.get_account()
+
+        # 抖音平台如果开启代理登录的话，会被风控，所以这里不开启代理
+        playwright_proxy = None
+        # playwright_proxy = {
+        #    "server": f"{config.ip_proxy_protocol}{ip_proxy}",
+        #    "username": config.ip_proxy_user,
+        #    "password": config.ip_proxy_password,
+        # }
+
+        httpx_proxy = f"{config.IP_PROXY_PROTOCOL}{config.IP_PROXY_USER}:{config.IP_PROXY_PASSWORD}@{ip_proxy}"
         if not config.ENABLE_IP_PROXY:
-            playwright_proxy, httpx_proxy = None, None
+            playwright_proxy = None
+            httpx_proxy = None
 
         async with async_playwright() as playwright:
             chromium = playwright.chromium
-            browser = await chromium.launch(headless=True, proxy=playwright_proxy)
+            browser = await chromium.launch(headless=config.HEADLESS, proxy=playwright_proxy)
             self.browser_context = await browser.new_context(
                 viewport={"width": 1800, "height": 900},
                 user_agent=self.user_agent,
@@ -74,7 +86,7 @@ class DouYinCrawler(AbstractCrawler):
                 context_page=self.context_page,
                 cookie_str=config.COOKIES
             )
-            # await login_obj.begin()
+            await login_obj.begin()
 
             # update cookies
             await self.update_cookies()

media_platform/douyin/login.py

@@ -1,16 +1,23 @@
 import sys
+import logging
 import asyncio
 
-from playwright.async_api import Page
+import aioredis
+from tenacity import (
+    retry,
+    stop_after_attempt,
+    wait_fixed,
+    retry_if_result
+)
+from playwright.async_api import Page, TimeoutError as PlaywrightTimeoutError
 from playwright.async_api import BrowserContext
 
-from tools import utils
+import config
+from tools import utils, easing
 from base.base_crawler import AbstractLogin
 
 
 class DouYinLogin(AbstractLogin):
-    async def login_by_cookies(self):
-        pass
 
     def __init__(self,
                  login_type: str,
@@ -23,59 +30,19 @@ class DouYinLogin(AbstractLogin):
         self.browser_context = browser_context
         self.context_page = context_page
         self.login_phone = login_phone
-        self.cookie_str = cookie_str
         self.scan_qrcode_time = 60
-
+        self.cookie_str = cookie_str
-    async def check_login_state(self):
-        """Check if the current login status is successful and return True otherwise return False"""
-        current_cookie = await self.browser_context.cookies()
-        _, cookie_dict = utils.convert_cookies(current_cookie)
-        if cookie_dict.get("LOGIN_STATUS") == "1":
-            return True
-        return False
-
-    async def login_by_qrcode(self):
-        """login douyin website and keep webdriver login state"""
-        print("Begin login douyin ...")
-        # find login qrcode
-        base64_qrcode_img = await utils.find_login_qrcode(
-            self.context_page,
-            selector="xpath=//article[@class='web-login']//img"
-        )
-        if not base64_qrcode_img:
-            if await self.check_login_state():
-                return
-            # todo ...if this website does not automatically popup login dialog box, we will manual click login button
-            print("login failed , have not found qrcode please check ....")
-            sys.exit()
-
-        # show login qrcode
-        utils.show_qrcode(base64_qrcode_img)
-
-        while self.scan_qrcode_time > 0:
-            await asyncio.sleep(1)
-            self.scan_qrcode_time -= 1
-            print(f"waiting for scan code login, remaining time is {self.scan_qrcode_time} seconds")
-            # get login state from browser
-            if await self.check_login_state():
-                # If the QR code login is successful, you need to wait for a moment.
-                # Because there will be a second redirection after successful login
-                # executing JS during this period may be performed in a Page that has already been destroyed.
-                wait_for_seconds = 5
-                print(f"Login successful then wait for {wait_for_seconds} seconds redirect ...")
-                while wait_for_seconds > 0:
-                    await asyncio.sleep(1)
-                    print(f"remaining wait {wait_for_seconds} seconds ...")
-                    wait_for_seconds -= 1
-                break
-        else:
-            sys.exit()
-
-    async def login_by_mobile(self):
-        # todo implement login by mobile
-        pass
 
     async def begin(self):
+        """
+            Start login douyin website
+            滑块中间页面的验证准确率不太OK... 如果没有特俗要求，建议不开抖音登录，或者使用cookies登录
+        """
+
+        # popup login dialog
+        await self.popup_login_dialog()
+
+        # select login type
         if self.login_type == "qrcode":
             await self.login_by_qrcode()
         elif self.login_type == "phone":
@@ -84,3 +51,196 @@ class DouYinLogin(AbstractLogin):
             await self.login_by_cookies()
         else:
             raise ValueError("Invalid Login Type Currently only supported qrcode or phone ...")
+
+        # 如果页面重定向到滑动验证码页面，需要再次滑动滑块
+        await asyncio.sleep(3)
+        current_page_title = await self.context_page.title()
+        if "验证码中间页" in current_page_title:
+            await self.check_page_display_slider(move_step=3, slider_level="hard")
+
+        # check login state
+        logging.info(f"login finished then check login state ...")
+        login_flag: bool = await self.check_login_state()
+        if not login_flag:
+            logging.info("login failed please confirm ...")
+            sys.exit()
+
+        # wait for redirect
+        wait_redirect_seconds = 5
+        logging.info(f"Login successful then wait for {wait_redirect_seconds} seconds redirect ...")
+        await asyncio.sleep(wait_redirect_seconds)
+
+    @retry(stop=stop_after_attempt(20), wait=wait_fixed(1), retry=retry_if_result(lambda value: value is False))
+    async def check_login_state(self):
+        """Check if the current login status is successful and return True otherwise return False"""
+        current_cookie = await self.browser_context.cookies()
+        _, cookie_dict = utils.convert_cookies(current_cookie)
+        if cookie_dict.get("LOGIN_STATUS") == "1":
+            return True
+        return False
+
+    async def popup_login_dialog(self):
+        """If the login dialog box does not pop up automatically, we will manually click the login button"""
+        dialog_selector = "xpath=//div[@id='login-pannel']"
+        try:
+            # check dialog box is auto popup and wait for 10 seconds
+            await self.context_page.wait_for_selector(dialog_selector, timeout=1000 * 10)
+        except Exception as e:
+            logging.error(f"login dialog box does not pop up automatically, error: {e}")
+            logging.info("login dialog box does not pop up automatically, we will manually click the login button")
+            login_button_ele = self.context_page.locator("xpath=//p[text() = '登录']")
+            await login_button_ele.click()
+            await asyncio.sleep(0.5)
+
+    async def login_by_qrcode(self):
+        logging.info("Begin login douyin by qrcode...")
+        qrcode_img_selector = "xpath=//article[@class='web-login']//img"
+        base64_qrcode_img = await utils.find_login_qrcode(
+            self.context_page,
+            selector=qrcode_img_selector
+        )
+        if not base64_qrcode_img:
+            logging.info("login qrcode not found please confirm ...")
+            sys.exit()
+
+        # show login qrcode
+        utils.show_qrcode(base64_qrcode_img)
+        await asyncio.sleep(2)
+
+    async def login_by_mobile(self):
+        logging.info("Begin login douyin by mobile ...")
+        mobile_tap_ele = self.context_page.locator("xpath=//li[text() = '验证码登录']")
+        await mobile_tap_ele.click()
+        await self.context_page.wait_for_selector("xpath=//article[@class='web-login-mobile-code']")
+        mobile_input_ele = self.context_page.locator("xpath=//input[@placeholder='手机号']")
+        await mobile_input_ele.fill(self.login_phone)
+        await asyncio.sleep(0.5)
+        send_sms_code_btn = self.context_page.locator("xpath=//span[text() = '获取验证码']")
+        await send_sms_code_btn.click()
+
+        # 检查是否有滑动验证码
+        await self.check_page_display_slider(move_step=10, slider_level="easy")
+
+        redis_obj = aioredis.from_url(url=config.REDIS_DB_HOST, password=config.REDIS_DB_PWD, decode_responses=True)
+        max_get_sms_code_time = 60 * 2  # 最长获取验证码的时间为2分钟
+        while max_get_sms_code_time > 0:
+            logging.info(f"get douyin sms code from redis remaining time {max_get_sms_code_time}s ...")
+            await asyncio.sleep(1)
+            sms_code_key = f"dy_{self.login_phone}"
+            sms_code_value = await redis_obj.get(sms_code_key)
+            if not sms_code_value:
+                max_get_sms_code_time -= 1
+                continue
+
+            sms_code_input_ele = self.context_page.locator("xpath=//input[@placeholder='请输入验证码']")
+            await sms_code_input_ele.fill(value=sms_code_value)
+            await asyncio.sleep(0.5)
+            submit_btn_ele = self.context_page.locator("xpath=//button[@class='web-login-button']")
+            await submit_btn_ele.click()  # 点击登录
+            # todo ... 应该还需要检查验证码的正确性有可能输入的验证码不正确
+            break
+
+    async def check_page_display_slider(self, move_step: int = 10, slider_level: str = "easy"):
+        """
+        检查页面是否出现滑动验证码
+        :return:
+        """
+        # 等待滑动验证码的出现
+        back_selector = "#captcha-verify-image"
+        try:
+            await self.context_page.wait_for_selector(selector=back_selector, state="visible", timeout=30 * 1000)
+        except PlaywrightTimeoutError:  # 没有滑动验证码，直接返回
+            return
+
+        gap_selector = 'xpath=//*[@id="captcha_container"]/div/div[2]/img[2]'
+        max_slider_try_times = 20
+        slider_verify_success = False
+        while not slider_verify_success:
+            if max_slider_try_times <= 0:
+                logging.error("slider verify failed ...")
+                sys.exit()
+            try:
+                await self.move_slider(back_selector, gap_selector, move_step, slider_level)
+                await asyncio.sleep(1)
+
+                # 如果滑块滑动慢了，或者验证失败了，会提示操作过慢，这里点一下刷新按钮
+                page_content = await self.context_page.content()
+                if "操作过慢" in page_content or "提示重新操作" in page_content:
+                    logging.info("slider verify failed, retry ...")
+                    await self.context_page.click(selector="//a[contains(@class, 'secsdk_captcha_refresh')]")
+                    continue
+
+                # 滑动成功后，等待滑块消失
+                await self.context_page.wait_for_selector(selector=back_selector, state="hidden", timeout=1000)
+                # 如果滑块消失了，说明验证成功了，跳出循环，如果没有消失，说明验证失败了，上面这一行代码会抛出异常被捕获后继续循环滑动验证码
+                logging.info("slider verify success ...")
+                slider_verify_success = True
+            except Exception as e:
+                logging.error(f"slider verify failed, error: {e}")
+                await asyncio.sleep(1)
+                max_slider_try_times -= 1
+                logging.info(f"remaining slider try times: {max_slider_try_times}")
+                continue
+
+    async def move_slider(self, back_selector: str, gap_selector: str, move_step: int = 10, slider_level="easy"):
+        """
+        Move the slider to the right to complete the verification
+        :param back_selector: 滑动验证码背景图片的选择器
+        :param gap_selector:  滑动验证码的滑块选择器
+        :param move_step: 是控制单次移动速度的比例是1/10 默认是1 相当于 传入的这个距离不管多远0.1秒钟移动完 越大越慢
+        :param slider_level: 滑块难度 easy hard,分别对应手机验证码的滑块和验证码中间的滑块
+        :return:
+        """
+
+        # get slider background image
+        slider_back_elements = await self.context_page.wait_for_selector(
+            selector=back_selector,
+            timeout=1000 * 10,  # wait 10 seconds
+        )
+        slide_back = str(await slider_back_elements.get_property("src"))
+
+        # get slider gap image
+        gap_elements = await self.context_page.wait_for_selector(
+            selector=gap_selector,
+            timeout=1000 * 10,  # wait 10 seconds
+        )
+        gap_src = str(await gap_elements.get_property("src"))
+
+        # 识别滑块位置
+        slide_app = utils.Slide(gap=gap_src, bg=slide_back)
+        distance = slide_app.discern()
+
+        # 获取移动轨迹
+        tracks = utils.get_tracks(distance, slider_level)
+        new_1 = tracks[-1] - (sum(tracks) - distance)
+        tracks.pop()
+        tracks.append(new_1)
+
+        # 根据轨迹拖拽滑块到指定位置
+        element = await self.context_page.query_selector(gap_selector)
+        bounding_box = await element.bounding_box()
+
+        await self.context_page.mouse.move(bounding_box["x"] + bounding_box["width"] / 2,
+                                           bounding_box["y"] + bounding_box["height"] / 2)
+        # 这里获取到x坐标中心点位置
+        x = bounding_box["x"] + bounding_box["width"] / 2
+        # 模拟滑动操作
+        await element.hover()
+        await self.context_page.mouse.down()
+
+        for track in tracks:
+            # 循环鼠标按照轨迹移动
+            # steps 是控制单次移动速度的比例是1/10 默认是1 相当于 传入的这个距离不管多远0.1秒钟移动完 越大越慢
+            await self.context_page.mouse.move(x + track, 0, steps=move_step)
+            x += track
+        await self.context_page.mouse.up()
+
+    async def login_by_cookies(self):
+        logging.info("Begin login douyin by cookie ...")
+        for key, value in utils.convert_str_cookie_to_dict(self.cookie_str).items():
+            await self.browser_context.add_cookies([{
+                'name': key,
+                'value': value,
+                'domain': ".douyin.com",
+                'path': "/"
+            }])

requirements.txt

@@ -5,3 +5,4 @@ aioredis==2.0.1
 tenacity==8.2.2
 tornado==6.3.2
 PyExecJS==1.5.1
+opencv-python==4.7.0.72

tools/easing.py

@@ -0,0 +1,68 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# copy from https://github.com/aneasystone/selenium-test/blob/master/12-slider-captcha.py
+# thanks to aneasystone for his great work
+import numpy as np
+import math
+
+
+# https://github.com/gdsmith/jquery.easing/blob/master/jquery.easing.js
+def ease_in_quad(x):
+    return x * x
+
+
+def ease_out_quad(x):
+    return 1 - (1 - x) * (1 - x)
+
+
+def ease_out_quart(x):
+    return 1 - pow(1 - x, 4)
+
+
+def ease_out_expo(x):
+    if x == 1:
+        return 1
+    else:
+        return 1 - pow(2, -10 * x)
+
+
+def ease_out_bounce(x):
+    n1 = 7.5625
+    d1 = 2.75
+    if x < 1 / d1:
+        return n1 * x * x
+    elif x < 2 / d1:
+        x -= 1.5 / d1
+        return n1 * x * x + 0.75
+    elif x < 2.5 / d1:
+        x -= 2.25 / d1
+        return n1 * x * x + 0.9375
+    else:
+        x -= 2.625 / d1
+        return n1 * x * x + 0.984375
+
+
+def ease_out_elastic(x):
+    if x == 0:
+        return 0
+    elif x == 1:
+        return 1
+    else:
+        c4 = (2 * math.pi) / 3
+        return pow(2, -10 * x) * math.sin((x * 10 - 0.75) * c4) + 1
+
+
+def get_tracks(distance, seconds, ease_func):
+    tracks = [0]
+    offsets = [0]
+    for t in np.arange(0.0, seconds, 0.1):
+        ease = globals()[ease_func]
+        offset = round(ease(t / seconds) * distance)
+        tracks.append(offset - offsets[-1])
+        offsets.append(offset)
+    return offsets, tracks
+
+
+if __name__ == '__main__':
+    o, tl = get_tracks(129, 3, "ease_out_expo")
+    print(tl)

tools/utils.py

@@ -1,11 +1,16 @@
 import re
+import os
 import time
 import random
 import base64
 import logging
 from io import BytesIO
+from urllib.parse import urlparse
 from typing import Optional, Dict, List, Tuple
 
+import cv2
+import httpx
+import numpy as np
 from PIL import Image, ImageDraw
 from playwright.async_api import Cookie
 from playwright.async_api import Page
@@ -71,6 +76,8 @@ def convert_str_cookie_to_dict(cookie_str: str) -> Dict:
         if not cookie:
             continue
         cookie = cookie.split("=")
+        if len(cookie) != 2:
+            continue
         cookie_value = cookie[1]
         if isinstance(cookie_value, list):
             cookie_value = "".join(cookie_value)
@@ -102,3 +109,157 @@ def init_loging_config():
         datefmt='%Y-%m-%d  %H:%M:%S'
     )
     logging.Logger("Media Crawler")
+
+
+class Slide:
+    """
+    copy from https://blog.csdn.net/weixin_43582101 thanks for author
+    update: relakkes
+    """
+
+    def __init__(self, gap, bg, gap_size=None, bg_size=None, out=None):
+        """
+        :param gap: 缺口图片链接或者url
+        :param bg: 带缺口的图片链接或者url
+        """
+        self.img_dir = os.path.join(os.getcwd(), 'temp_image')
+        if not os.path.exists(self.img_dir):
+            os.makedirs(self.img_dir)
+
+        bg_resize = bg_size if bg_size else (340, 212)
+        gap_size = gap_size if gap_size else (68, 68)
+        self.bg = self.check_is_img_path(bg, 'bg', resize=bg_resize)
+        self.gap = self.check_is_img_path(gap, 'gap', resize=gap_size)
+        self.out = out if out else os.path.join(self.img_dir, 'out.jpg')
+
+    @staticmethod
+    def check_is_img_path(img, img_type, resize):
+        if img.startswith('http'):
+            headers = {
+                "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;"
+                          "q=0.8,application/signed-exchange;v=b3;q=0.9",
+                "Accept-Encoding": "gzip, deflate, br",
+                "Accept-Language": "zh-CN,zh;q=0.9,en-GB;q=0.8,en;q=0.7,ja;q=0.6",
+                "Cache-Control": "max-age=0",
+                "Connection": "keep-alive",
+                "Host": urlparse(img).hostname,
+                "Upgrade-Insecure-Requests": "1",
+                "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
+                              "Chrome/91.0.4472.164 Safari/537.36",
+            }
+            img_res = httpx.get(img, headers=headers)
+            if img_res.status_code == 200:
+                img_path = f'./temp_image/{img_type}.jpg'
+                image = np.asarray(bytearray(img_res.content), dtype="uint8")
+                image = cv2.imdecode(image, cv2.IMREAD_COLOR)
+                if resize:
+                    image = cv2.resize(image, dsize=resize)
+                cv2.imwrite(img_path, image)
+                return img_path
+            else:
+                raise Exception(f"保存{img_type}图片失败")
+        else:
+            return img
+
+    @staticmethod
+    def clear_white(img):
+        """清除图片的空白区域，这里主要清除滑块的空白"""
+        img = cv2.imread(img)
+        rows, cols, channel = img.shape
+        min_x = 255
+        min_y = 255
+        max_x = 0
+        max_y = 0
+        for x in range(1, rows):
+            for y in range(1, cols):
+                t = set(img[x, y])
+                if len(t) >= 2:
+                    if x <= min_x:
+                        min_x = x
+                    elif x >= max_x:
+                        max_x = x
+
+                    if y <= min_y:
+                        min_y = y
+                    elif y >= max_y:
+                        max_y = y
+        img1 = img[min_x:max_x, min_y: max_y]
+        return img1
+
+    def template_match(self, tpl, target):
+        th, tw = tpl.shape[:2]
+        result = cv2.matchTemplate(target, tpl, cv2.TM_CCOEFF_NORMED)
+        # 寻找矩阵(一维数组当作向量,用Mat定义) 中最小值和最大值的位置
+        min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)
+        tl = max_loc
+        br = (tl[0] + tw, tl[1] + th)
+        # 绘制矩形边框，将匹配区域标注出来
+        # target：目标图像
+        # tl：矩形定点
+        # br：矩形的宽高
+        # (0,0,255)：矩形边框颜色
+        # 1：矩形边框大小
+        cv2.rectangle(target, tl, br, (0, 0, 255), 2)
+        cv2.imwrite(self.out, target)
+        return tl[0]
+
+    @staticmethod
+    def image_edge_detection(img):
+        edges = cv2.Canny(img, 100, 200)
+        return edges
+
+    def discern(self):
+        img1 = self.clear_white(self.gap)
+        img1 = cv2.cvtColor(img1, cv2.COLOR_RGB2GRAY)
+        slide = self.image_edge_detection(img1)
+
+        back = cv2.imread(self.bg, cv2.COLOR_RGB2GRAY)
+        back = self.image_edge_detection(back)
+
+        slide_pic = cv2.cvtColor(slide, cv2.COLOR_GRAY2RGB)
+        back_pic = cv2.cvtColor(back, cv2.COLOR_GRAY2RGB)
+        x = self.template_match(slide_pic, back_pic)
+        # 输出横坐标, 即 滑块在图片上的位置
+        return x
+
+
+def get_track_simple(distance):
+    # 有的检测移动速度的 如果匀速移动会被识别出来，来个简单点的 渐进
+    # distance为传入的总距离
+    # 移动轨迹
+    track = []
+    # 当前位移
+    current = 0
+    # 减速阈值
+    mid = distance * 4 / 5
+    # 计算间隔
+    t = 0.2
+    # 初速度
+    v = 1
+
+    while current < distance:
+        if current < mid:
+            # 加速度为2
+            a = 4
+        else:
+            # 加速度为-2
+            a = -3
+        v0 = v
+        # 当前速度
+        v = v0 + a * t
+        # 移动距离
+        move = v0 * t + 1 / 2 * a * t * t
+        # 当前位移
+        current += move
+        # 加入轨迹
+        track.append(round(move))
+    return track
+
+
+def get_tracks(distance: int, level: str = "easy") -> List[int]:
+    if level == "easy":
+        return get_track_simple(distance)
+    else:
+        from . import easing
+        _, tricks = easing.get_tracks(distance, seconds=2, ease_func="ease_out_expo")
+        return tricks