增加头条，增加登录滑块第一版

@@ -12,7 +12,41 @@ xj-marketing This project aims to automate the posting of videos to various soci
   - [x] 小红书
   - [x] 快手
   - [ ] 百家号
-  - [ ] 网易号
+  - [ ] 哔哩哔哩
+  - [ ] 腾讯视频
+  - [ ] 西瓜视频
+  - [ ] 搜狐视频
+  - [ ] 爱奇艺
+  - [ ] 皮皮虾
+  - [ ] 多多视频
+  - [ ] 美拍
+  - [ ] 腾讯微视
+  - [ ] AcFun
+  - [ ] 秒拍
+  - [ ] 小红书商家
+  - [ ] 头条号
+  - [ ] 百家号
+  - [ ] 搜狐号
+  - [x] 网易号
+  - [ ] 企鹅号
+  - [ ] 知乎
+  - [ ] 一点号
+  - [ ] 大鱼号
+  - [ ] 微信公众号
+  - [ ] 新浪微博
+  - [ ] 快传号
+  - [ ] 雪球号
+  - [ ] 豆瓣
+  - [ ] 简书号
+  - [ ] 东方号
+  - [ ] 大风号
+  - [ ] 蜂网
+  - [ ] 美柚
+  - [ ] WIFI万能钥匙
+  - [ ] 易车号
+  - [ ] 车家号
+  - [ ] CSDN
+  - [ ] 微博头条
 
 - 部分国外社交媒体：
   - [x] tiktok

@@ -10,8 +10,9 @@ from uploader.ks_uploader.main import ks_setup, KSVideo
 from uploader.tencent_uploader.main import weixin_setup, TencentVideo
 from uploader.tk_uploader.main_chrome import tiktok_setup, TiktokVideo
 from uploader.wyh_uploader.main import wyh_setup
+from uploader.toutiao_uploader.main import toutiao_setup
 from utils.base_social_media import get_supported_social_media, get_cli_action, SOCIAL_MEDIA_DOUYIN, \
-    SOCIAL_MEDIA_TENCENT, SOCIAL_MEDIA_TIKTOK, SOCIAL_MEDIA_KUAISHOU, SOCIAL_MEDIA_WANGYIHAO
+    SOCIAL_MEDIA_TENCENT, SOCIAL_MEDIA_TIKTOK, SOCIAL_MEDIA_KUAISHOU, SOCIAL_MEDIA_WANGYIHAO, SOCIAL_MEDIA_TOUTIAO
 from utils.constant import TencentZoneTypes
 from utils.files_times import get_title_and_hashtags
 
@@ -71,6 +72,8 @@ async def main():
             await ks_setup(str(account_file), handle=True)
         elif args.platform == SOCIAL_MEDIA_WANGYIHAO:
             await wyh_setup(str(account_file), handle=True)
+        elif args.platform == SOCIAL_MEDIA_TOUTIAO:
+            await toutiao_setup(str(account_file), handle=True)
 
     elif args.action == 'upload':
         title, tags = get_title_and_hashtags(args.video_file)

@@ -7,3 +7,6 @@ biliup
 xhs
 qrcode
 loguru
+opencv-python
+numpy
+pandas
\ No newline at end of file

+import os
+
+from utils.base_social_media import set_init_script
+from utils.files_times import get_absolute_path
+from utils.log import kuaishou_logger
+from playwright.async_api import Playwright, async_playwright
+
+
+async def toutiao_setup(account_file, handle=False):
+    print(account_file)
+    account_file = get_absolute_path(account_file, "wyh_uploader")
+    if not os.path.exists(account_file):
+        if not handle:
+            return False
+        kuaishou_logger.info('[+] cookie文件不存在或已失效，即将自动打开浏览器，请扫码登录，登陆后会自动生成cookie文件')
+        await get_wyh_cookie(account_file)
+    else:
+        await open_wyh_main_page(account_file)
+    return True
+
+
+async def open_wyh_main_page(account_file):
+    async with async_playwright() as playwright:
+        options = {
+            'args': [
+                '--lang en-GB'
+            ],
+            'headless': False,  # Set headless option here
+        }
+        # Make sure to run headed.
+        browser = await playwright.chromium.launch(**options)
+        # Setup context however you like.
+        context = await browser.new_context(storage_state=account_file)  # Pass any options
+        context = await set_init_script(context)
+        # Pause the page, and start recording manually.
+        page = await context.new_page()
+        await page.goto("https://mp.toutiao.com")
+        await page.pause()
+        browser.close()
+
+
+async def get_wyh_cookie(account_file):
+    print("get_wyh_cookie")
+    async with async_playwright() as playwright:
+        options = {
+            'args': [
+                '--lang en-GB'
+            ],
+            'headless': False,  # Set headless option here
+        }
+        # Make sure to run headed.
+        browser = await playwright.chromium.launch(**options)
+        # Setup context however you like.
+        context = await browser.new_context()  # Pass any options
+        context = await set_init_script(context)
+        # Pause the page, and start recording manually.
+        page = await context.new_page()
+        await page.goto("https://mp.toutiao.com")
+
+        # 手动授权登录
+        # await page.pause()
+        # 点击调试器的继续，保存cookie
+        # await context.storage_state(path=account_file)
+
+        # 自动登陆
+        await page.wait_for_timeout(5000)
+        await page.get_by_text('密码登录').click()
+        await page.wait_for_timeout(5000)
+
+        await page.get_by_placeholder("手机号/邮箱").fill('18610534668')
+        print("输入账号成功")
+        await page.wait_for_timeout(1000)
+        await page.get_by_placeholder('密码').fill("Liuyihong1023@")
+        await page.wait_for_timeout(1000)
+        await page.locator("//*[@class='web-login-confirm-info__checkbox']").click()
+        await page.wait_for_timeout(1000)
+        await page.locator("//*[@class='web-login-button']").click()
+        await page.wait_for_timeout(10000)
+        # 点击调试器的继续，保存cookie
+        await context.storage_state(path=account_file)

+import random
+import cv2
+import numpy as np
+import pandas as pd
+import math
+import os
+
+
+# x方向一阶导中值
+def get_dx_median(dx, x, y, w, h):
+    return np.median(dx[y:(y + h), x])
+
+
+# 预处理
+def pre_process(img_path):
+    img = cv2.imread(img_path, 1)
+    img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)  # 转成灰度图像
+    _, binary = cv2.threshold(img_gray, 127, 255, cv2.THRESH_BINARY)  # 将灰度图像转成二值图像
+    contours, hierarchy = cv2.findContours(binary, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)  # 查找轮廓
+
+    rect_area = []
+    rect_arc_length = []
+    cnt_infos = {}
+
+    for i, cnt in enumerate(contours):
+        if cv2.contourArea(cnt) < 5000 or cv2.contourArea(cnt) > 25000:
+            continue
+
+        x, y, w, h = cv2.boundingRect(cnt)
+        cnt_infos[i] = {'rect_area': w * h,  # 矩形面积
+                        'rect_arclength': 2 * (w + h),  # 矩形周长
+                        'cnt_area': cv2.contourArea(cnt),  # 轮廓面积
+                        'cnt_arclength': cv2.arcLength(cnt, True),  # 轮廓周长
+                        'cnt': cnt,  # 轮廓
+                        'w': w,
+                        'h': h,
+                        'x': x,
+                        'y': y,
+                        'mean': np.mean(np.min(img[y:(y + h), x:(x + w)], axis=2)),  # 矩形内像素平均
+                        }
+        rect_area.append(w * h)
+        rect_arc_length.append(2 * (w + h))
+    dx = cv2.Sobel(img, -1, 1, 0, ksize=5)
+
+    return img, dx, cnt_infos
+
+
+def qq_mark_pos(img_path):
+    if not os.path.exists(img_path):
+        print("文件不存在")
+        return 0
+    img, dx, cnt_infos = pre_process(img_path)
+    h, w = img.shape[:2]
+    df = pd.DataFrame(cnt_infos).T
+    df.head()
+    df['dx_mean'] = df.apply(lambda x: get_dx_median(dx, x['x'], x['y'], x['w'], x['h']), axis=1)
+    df['rect_ratio'] = df.apply(lambda v: v['rect_arclength'] / 4 / math.sqrt(v['rect_area'] + 1), axis=1)
+    df['area_ratio'] = df.apply(lambda v: v['rect_area'] / v['cnt_area'], axis=1)
+    df['score'] = df.apply(lambda x: abs(x['rect_ratio'] - 1), axis=1)
+
+    result = df.query('x>0').query('area_ratio<2').query('rect_area>5000').query('rect_area<20000').sort_values(
+        ['mean', 'score', 'dx_mean']).head(2)
+    if len(result):
+        x_left = result.x.values[0]
+        # cv2.line(img, (x_left, 0), (x_left, h), color=(255, 0, 255))
+        # plt.imshow(img)
+        # plt.show()
+    return result
+
+
+def get_track_list(distance):
+    """
+    模拟轨迹 假装是人在操作
+    """
+    # 初速度
+    v = 0
+    # 单位时间为0.2s来统计轨迹，轨迹即0.2内的位移
+    t = 0.2
+    # 位移/轨迹列表，列表内的一个元素代表0.2s的位移
+    tracks = []
+    # 当前的位移
+    current = 0
+    # 到达mid值开始减速
+    mid = distance * 7 / 8
+
+    distance += 10  # 先滑过一点，最后再反着滑动回来
+    # a = random.randint(1,3)
+    while current < distance:
+        if current < mid:
+            # 加速度越小，单位时间的位移越小,模拟的轨迹就越多越详细
+            a = random.randint(2, 4)  # 加速运动
+        else:
+            a = -random.randint(3, 5)  # 减速运动
+
+        # 初速度
+        v0 = v
+        # 0.2秒时间内的位移
+        s = v0 * t + 0.5 * a * (t ** 2)
+        # 当前的位置
+        current += s
+        # 添加到轨迹列表
+        tracks.append(round(s))
+
+        # 速度已经达到v,该速度作为下次的初速度
+        v = v0 + a * t
+
+    # 反着滑动到大概准确位置
+    for i in range(4):
+        tracks.append(-random.randint(2, 3))
+    for i in range(4):
+        tracks.append(-random.randint(1, 3))
+    return tracks
+
+
+# if __name__ == "__main__":
+#     img_path = "bg.png"
+#     if not os.path.exists(img_path):
+#         print("文件不存在")
+#     res = qq_mark_pos(img_path)
+#     x = res.x.values[0]
+#     x_r = 344 * x / 699
+#     track = get_track_list(res.x.values[0])
+#     print(f'x:{x},xr:{x_r}, track:{track}')

+import io
+import time
+from playwright.sync_api import sync_playwright, Route
+from CaptchaCv2 import (get_track_list, qq_mark_pos)
+
+distance = 0
+is_reflashed_img = False
+img = "bg.png"
+retryTimes = 10
+
+
+def handle_captcha(route: Route) -> None:
+    print("handle captcha begin")
+    response = route.fetch()
+    if response.status == 200:
+        print("handle captcha response is 200")
+        buffer = response.body()
+        # 下载指定规则url的验证码图片
+        if "index=1" in response.url:
+            is_reflashed_img = True
+            with open(img, "wb") as f:
+                f.write(buffer)
+    route.continue_()
+
+
+def dragbox_location():
+    for i in range(5):
+        dragbox_bounding = page.frame_locator("#tcaptcha_iframe").locator(
+            "#tcaptcha_drag_thumb").bounding_box()
+        if dragbox_bounding is not None and dragbox_bounding["x"] > 20:
+            return dragbox_bounding
+    return None
+
+
+def drag_to_breach(move_distance):
+    print('开始拖动滑块..')
+    drag_box = dragbox_location()
+    if drag_box is None:
+        print('未获取到滑块位置,识别失败')
+        return False
+    page.mouse.move(drag_box["x"] + drag_box["width"] / 2,
+                    drag_box["y"] + drag_box["height"] / 2)
+    page.mouse.down()
+    location_x = drag_box["x"]
+    for i in move_distance:
+        location_x += i
+        page.mouse.move(location_x, drag_box["y"])
+    page.mouse.up()
+    if page.get_by_text("后重试") is not None or page.get_by_text("请控制拼图对齐缺口") is not None:
+        print("识别成功")
+        return True
+    print('识别失败')
+    return False
+
+
+def calc_distance():
+    for i in range(retryTimes):
+        print(f"识别验证码距离中，当前等待轮数{i + 1}/{retryTimes}")
+        try:
+            res = qq_mark_pos(img)
+            distance = res.x.values[0]
+            if distance > 0:
+                print(f"获取到缺口距离：{distance}")
+                return distance
+        except Exception as e:
+            print(f"识别错误, 异常：{e}")
+
+
+with sync_playwright() as p:
+    # browser = p.chromium.launch(channel="msedge",proxy={"server": "http://{}".format(proxy)})
+    browser = p.chromium.launch(headless=False)
+    iphone_12 = p.devices["iPhone 12"]
+    context = browser.new_context(
+        record_video_dir="videos/",
+        **iphone_12,
+    )
+    page = context.new_page()
+    # 下载指定规则的验证码图片
+    page.route("**/turing.captcha.qcloud.com/hycdn**", handle_captcha)
+    page.goto(
+        "https://wap.showstart.com/pages/passport/login/login?redirect=%252Fpages%252FmyHome%252FmyHome")
+
+    page.wait_for_timeout(5000)
+
+    page.get_by_role("spinbutton").fill("14445104596")
+    page.get_by_text("获取验证码").click()
+
+    frame = page.wait_for_selector("#tcaptcha_iframe")
+    print(frame.bounding_box())
+
+    page.wait_for_timeout(5000)
+
+    move_distance = None
+    for i in range(retryTimes):
+        print(f"滑块拖动逻辑开始，当前尝试轮数{i + 1}/{retryTimes}")
+
+        # 验证码刷新 重新计算距离
+        if is_reflashed_img or move_distance is None:
+            distance = calc_distance()
+            page.wait_for_timeout(200)
+
+            true_distance = distance * 353 / 680
+            move_distance = get_track_list(true_distance)
+            print(f"获取到相对滑动距离{true_distance}, 模拟拖动列表{move_distance}")
+            is_reflashed_img = False
+
+        drag_result = drag_to_breach(move_distance)
+        if drag_result:
+            break
+
+    page.wait_for_timeout(3000)
+    print("识别结束，退出程序")
+    # input("为方便调试，可启用此代码，避免浏览器关闭")
+    browser.close()
\ No newline at end of file

@@ -9,10 +9,11 @@ SOCIAL_MEDIA_TIKTOK = "tiktok"
 SOCIAL_MEDIA_BILIBILI = "bilibili"
 SOCIAL_MEDIA_KUAISHOU = "kuaishou"
 SOCIAL_MEDIA_WANGYIHAO = 'wangyihao'
+SOCIAL_MEDIA_TOUTIAO = 'toutiao'
 
 
 def get_supported_social_media() -> List[str]:
-    return [SOCIAL_MEDIA_DOUYIN, SOCIAL_MEDIA_TENCENT, SOCIAL_MEDIA_TIKTOK, SOCIAL_MEDIA_KUAISHOU,SOCIAL_MEDIA_WANGYIHAO]
+    return [SOCIAL_MEDIA_DOUYIN, SOCIAL_MEDIA_TENCENT, SOCIAL_MEDIA_TIKTOK, SOCIAL_MEDIA_KUAISHOU, SOCIAL_MEDIA_WANGYIHAO, SOCIAL_MEDIA_TOUTIAO]
 
 
 def get_cli_action() -> List[str]: