AutoUpdateJdCookie/main.py
2024-10-19 01:09:47 +08:00

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Python
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import aiohttp
import asyncio
from api.qinglong import QlApi, QlOpenApi
from api.send import SendApi
from config import (
auto_move,
qinglong_data,
user_datas,
auto_shape_recognition,
)
import cv2
import json
from loguru import logger
import os
from playwright.async_api import Playwright, async_playwright
import random
import re
from PIL import Image # 用于图像处理
import traceback
from typing import Union
from utils.consts import (
jd_login_url,
supported_types,
supported_colors,
supported_sms_func
)
from utils.tools import (
get_tmp_dir,
get_img_bytes,
get_forbidden_users_dict,
filter_forbidden_users,
save_img,
get_ocr,
get_word,
get_shape_location_by_type,
get_shape_location_by_color,
rgba2rgb,
send_msg,
new_solve_slider_captcha,
ddddocr_find_files_pic,
expand_coordinates,
cv2_save_img,
ddddocr_find_bytes_pic,
solve_slider_captcha,
validate_proxy_config
)
"""
基于playwright做的
"""
logger.add(
sink="main.log",
level="DEBUG"
)
async def download_image(url, filepath):
async with aiohttp.ClientSession() as session:
async with session.get(url) as response:
if response.status == 200:
with open(filepath, 'wb') as f:
f.write(await response.read())
print(f"Image downloaded to {filepath}")
else:
print(f"Failed to download image. Status code: {response.status}")
async def auto_move_slide(page, retry_times: int = 2, slider_selector: str = 'img.move-img', move_solve_type: str = ""):
"""
自动识别移动滑块验证码
"""
from config import slide_difference
for i in range(retry_times):
logger.info(f'{i + 1}次尝试自动移动滑块中...')
try:
# 查找小图
await page.wait_for_selector('#small_img', state='visible', timeout=3000)
except Exception as e:
# 未找到元素,认为成功,退出循环
logger.info('未找到小图,退出移动滑块')
break
# 获取 src 属性
small_src = await page.locator('#small_img').get_attribute('src')
background_src = await page.locator('#cpc_img').get_attribute('src')
# 获取 bytes
small_img_bytes = get_img_bytes(small_src)
background_img_bytes = get_img_bytes(background_src)
# 保存小图
small_img_path = save_img('small_img', small_img_bytes)
small_img_width = await page.evaluate('() => { return document.getElementById("small_img").clientWidth; }') # 获取网页的图片尺寸
small_img_height = await page.evaluate('() => { return document.getElementById("small_img").clientHeight; }') # 获取网页的图片尺寸
small_image = Image.open(small_img_path) # 打开图像
resized_small_image = small_image.resize((small_img_width, small_img_height)) # 调整图像尺寸
resized_small_image.save(small_img_path) # 保存调整后的图像
# 保存大图
background_img_path = save_img('background_img', background_img_bytes)
background_img_width = await page.evaluate('() => { return document.getElementById("cpc_img").clientWidth; }') # 获取网页的图片尺寸
background_img_height = await page.evaluate('() => { return document.getElementById("cpc_img").clientHeight; }') # 获取网页的图片尺寸
background_image = Image.open(background_img_path) # 打开图像
resized_background_image = background_image.resize((background_img_width, background_img_height)) # 调整图像尺寸
resized_background_image.save(background_img_path) # 保存调整后的图像
# 获取滑块
slider = page.locator(slider_selector)
await asyncio.sleep(1)
if move_solve_type == "old":
# 用于调试
distance = ddddocr_find_bytes_pic(small_img_bytes, background_img_bytes)
await asyncio.sleep(1)
await solve_slider_captcha(page, slider, distance, slide_difference)
await asyncio.sleep(1)
continue
# 获取要移动的长度
distance = ddddocr_find_files_pic(small_img_path, background_img_path)
await asyncio.sleep(1)
# 移动滑块
await new_solve_slider_captcha(page, slider, distance, slide_difference)
await asyncio.sleep(1)
async def auto_shape(page, retry_times: int = 5):
# 图像识别
ocr = get_ocr(beta=True)
# 文字识别
det = get_ocr(det=True)
"""
自动识别滑块验证码
"""
for i in range(retry_times):
logger.info(f'{i + 1}次自动识别形状中...')
try:
# 查找小图
await page.wait_for_selector('div.captcha_footer img', state='visible', timeout=3000)
except Exception as e:
# 未找到元素,认为成功,退出循环
logger.info('未找到形状图,退出识别状态')
break
tmp_dir = get_tmp_dir()
background_img_path = os.path.join(tmp_dir, f'background_img.png')
# 获取大图元素
background_locator = page.locator('#cpc_img')
# 获取元素的位置和尺寸
backend_bounding_box = await background_locator.bounding_box()
backend_top_left_x = backend_bounding_box['x']
backend_top_left_y = backend_bounding_box['y']
# 截取元素区域
await page.screenshot(path=background_img_path, clip=backend_bounding_box)
# 获取 图片的src 属性和button按键
word_img_src = await page.locator('div.captcha_footer img').get_attribute('src')
button = page.locator('div.captcha_footer button.sure_btn')
# 找到刷新按钮
refresh_button = page.locator('.jcap_refresh')
# 获取文字图并保存
word_img_bytes = get_img_bytes(word_img_src)
rgba_word_img_path = save_img('rgba_word_img', word_img_bytes)
# 文字图是RGBA的有蒙板识别不了需要转成RGB
rgb_word_img_path = rgba2rgb('rgb_word_img', rgba_word_img_path)
# 获取问题的文字
word = get_word(ocr, rgb_word_img_path)
if word.find('') > 0:
target_color = word.split('请选出图中')[1].split('的图形')[0]
if target_color in supported_colors:
logger.info(f'正在点击中......')
# 获取点的中心点
center_x, center_y = get_shape_location_by_color(background_img_path, target_color)
if center_x is None and center_y is None:
logger.info(f'识别失败,刷新中......')
await refresh_button.click()
await asyncio.sleep(random.uniform(2, 4))
continue
# 得到网页上的中心点
x, y = backend_top_left_x + center_x, backend_top_left_y + center_y
# 点击图片
await page.mouse.click(x, y)
await asyncio.sleep(random.uniform(1, 4))
# 点击确定
await button.click()
await asyncio.sleep(random.uniform(2, 4))
continue
else:
logger.info(f'不支持{target_color},刷新中......')
# 刷新
await refresh_button.click()
await asyncio.sleep(random.uniform(2, 4))
continue
# 这里是文字验证码了
elif word.find('依次') > 0:
logger.info(f'开始文字识别,点击中......')
# 获取文字的顺序列表
try:
target_char_list = list(re.findall(r'[\u4e00-\u9fff]+', word)[1])
except IndexError:
logger.info(f'识别文字出错,刷新中......')
await refresh_button.click()
await asyncio.sleep(random.uniform(2, 4))
continue
target_char_len = len(target_char_list)
# 识别字数不对
if target_char_len != 4:
logger.info(f'识别的字数不对,刷新中......')
await refresh_button.click()
await asyncio.sleep(random.uniform(2, 4))
continue
# 定义【文字, 坐标】的列表
target_list = [[x, []] for x in target_char_list]
# 获取大图的二进制
background_locator = page.locator('#cpc_img')
background_locator_src = await background_locator.get_attribute('src')
background_locator_bytes = get_img_bytes(background_locator_src)
bboxes = det.detection(background_locator_bytes)
count = 0
im = cv2.imread(background_img_path)
for bbox in bboxes:
# 左上角
x1, y1, x2, y2 = bbox
# 做了一下扩大
expanded_x1, expanded_y1, expanded_x2, expanded_y2 = expand_coordinates(x1, y1, x2, y2, 10)
im2 = im[expanded_y1:expanded_y2, expanded_x1:expanded_x2]
img_path = cv2_save_img('word', im2)
image_bytes = open(img_path, "rb").read()
result = ocr.classification(image_bytes, png_fix=True)
if result in target_char_list:
for index, target in enumerate(target_list):
if result == target[0] and target[0] is not None:
x = x1 + (x2 - x1) / 2
y = y1 + (y2 - y1) / 2
target_list[index][1] = [x, y]
count += 1
if count != target_char_len:
logger.info(f'文字识别失败,刷新中......')
await refresh_button.click()
await asyncio.sleep(random.uniform(2, 4))
continue
for char in target_list:
center_x = char[1][0]
center_y = char[1][1]
# 得到网页上的中心点
x, y = backend_top_left_x + center_x, backend_top_left_y + center_y
# 点击图片
await page.mouse.click(x, y)
await asyncio.sleep(random.uniform(1, 4))
# 点击确定
await button.click()
await asyncio.sleep(random.uniform(2, 4))
else:
shape_type = word.split('请选出图中的')[1]
if shape_type in supported_types:
logger.info(f'已找到图形,点击中......')
if shape_type == "圆环":
shape_type = shape_type.replace('圆环', '圆形')
# 获取点的中心点
center_x, center_y = get_shape_location_by_type(background_img_path, shape_type)
if center_x is None and center_y is None:
logger.info(f'识别失败,刷新中......')
await refresh_button.click()
await asyncio.sleep(random.uniform(2, 4))
continue
# 得到网页上的中心点
x, y = backend_top_left_x + center_x, backend_top_left_y + center_y
# 点击图片
await page.mouse.click(x, y)
await asyncio.sleep(random.uniform(1, 4))
# 点击确定
await button.click()
await asyncio.sleep(random.uniform(2, 4))
continue
else:
logger.info(f'不支持{shape_type},刷新中......')
# 刷新
await refresh_button.click()
await asyncio.sleep(random.uniform(2, 4))
continue
async def sms_recognition(page, user):
try:
from config import sms_func
except ImportError:
sms_func = "no"
sms_func = user_datas[user].get("sms_func", sms_func)
if sms_func not in supported_sms_func:
raise Exception(f"sms_func只支持{supported_sms_func}")
if sms_func == "no":
raise Exception("sms_func为no关闭, 跳过短信验证码识别环节")
logger.info('点击【获取验证码】中')
await page.click('button.getMsg-btn')
await asyncio.sleep(1)
# 自动识别滑块
await auto_move_slide(page, retry_times=5, slider_selector='div.bg-blue')
await auto_shape(page, retry_times=30)
# 识别是否成功发送验证码
await page.wait_for_selector('button.getMsg-btn:has-text("重新发送")', timeout=3000)
logger.info("发送短信验证码成功")
# 手动输入
# 用户在60S内手动在终端输入验证码
if sms_func == "manual_input":
from inputimeout import inputimeout, TimeoutOccurred
try:
verification_code = inputimeout(prompt="请输入验证码:", timeout=60)
except TimeoutOccurred:
return
# 通过调用web_hook的方式来实现全自动输入验证码
elif sms_func == "webhook":
from utils.tools import send_request
try:
from config import sms_webhook
except ImportError:
sms_webhook = ""
sms_webhook = user_datas[user].get("sms_webhook", sms_webhook)
if sms_webhook is None:
raise Exception(f"sms_webhook未配置")
headers = {
'Content-Type': 'application/json',
}
data = {"phone_number": user}
response = await send_request(url=sms_webhook, method="post", headers=headers, data=data)
verification_code = response['data']['code']
await asyncio.sleep(1)
logger.info('填写验证码中...')
verification_code_input = page.locator('input.acc-input.msgCode')
for v in verification_code:
await verification_code_input.type(v, no_wait_after=True)
await asyncio.sleep(random.random() / 10)
logger.info('点击提交中...')
await page.click('a.btn')
async def get_jd_pt_key(playwright: Playwright, user) -> Union[str, None]:
"""
获取jd的pt_key
"""
try:
from config import headless
except ImportError:
headless = False
args = '--no-sandbox', '--disable-setuid-sandbox'
try:
# 引入代理
from config import proxy
# 检查代理的配置
is_proxy_valid, msg = validate_proxy_config(proxy)
if not is_proxy_valid:
logger.error(msg)
proxy = None
except ImportError:
logger.info("未配置代理")
proxy = None
browser = await playwright.chromium.launch(headless=headless, args=args, proxy=proxy)
context = await browser.new_context()
try:
page = await context.new_page()
await page.goto(jd_login_url)
if user_datas[user].get("user_type") == "qq":
await page.get_by_role("checkbox").check()
await asyncio.sleep(1)
# 点击QQ登录
await page.locator("a.quick-qq").click()
await asyncio.sleep(1)
# 等待 iframe 加载完成
await page.wait_for_selector("#ptlogin_iframe")
# 切换到 iframe
iframe = page.frame(name="ptlogin_iframe")
# 通过 id 选择 "密码登录" 链接并点击
await iframe.locator("#switcher_plogin").click()
await asyncio.sleep(1)
# 填写账号
username_input = iframe.locator("#u") # 替换为实际的账号
for u in user:
await username_input.type(u, no_wait_after=True)
await asyncio.sleep(random.random() / 10)
await asyncio.sleep(1)
# 填写密码
password_input = iframe.locator("#p") # 替换为实际的密码
password = user_datas[user]["password"]
for p in password:
await password_input.type(p, no_wait_after=True)
await asyncio.sleep(random.random() / 10)
await asyncio.sleep(1)
# 点击登录按钮
await iframe.locator("#login_button").click()
else:
await page.get_by_text("账号密码登录").click()
username_input = page.get_by_placeholder("账号名/邮箱/手机号")
await username_input.click()
for u in user:
await username_input.type(u, no_wait_after=True)
await asyncio.sleep(random.random() / 10)
password_input = page.get_by_placeholder("请输入密码")
await password_input.click()
password = user_datas[user]["password"]
for p in password:
await password_input.type(p, no_wait_after=True)
await asyncio.sleep(random.random() / 10)
await page.get_by_role("checkbox").check()
await page.get_by_text("登 录").click()
# 自动识别移动滑块验证码
if auto_move:
# 关键的sleep
await asyncio.sleep(1)
await auto_move_slide(page, retry_times=5)
# 自动验证形状验证码
if auto_shape_recognition:
await asyncio.sleep(1)
await auto_shape(page, retry_times=30)
# 进行短信验证识别
await asyncio.sleep(1)
if await page.locator('text="手机短信验证"').count() != 0:
logger.info("开始短信验证码识别环节")
await sms_recognition(page, user)
# 等待验证码通过
logger.info("等待获取cookie...")
await page.wait_for_selector('#msShortcutMenu', state='visible', timeout=120000)
cookies = await context.cookies()
for cookie in cookies:
if cookie['name'] == 'pt_key':
pt_key = cookie["value"]
return pt_key
return None
except Exception as e:
traceback.print_exc()
return None
finally:
await context.close()
await browser.close()
async def get_ql_api(ql_data):
"""
封装了QL的登录
"""
logger.info("开始获取QL登录态......")
# 优化client_id和client_secret
client_id = ql_data.get('client_id')
client_secret = ql_data.get('client_secret')
if client_id and client_secret:
logger.info("使用client_id和client_secret登录......")
qlapi = QlOpenApi(ql_data["url"])
response = await qlapi.login(client_id=client_id, client_secret=client_secret)
if response['code'] == 200:
logger.info("client_id和client_secret正常可用......")
return qlapi
else:
logger.info("client_id和client_secret异常......")
qlapi = QlApi(ql_data["url"])
# 其次用token
token = ql_data.get('token')
if token:
logger.info("已设置TOKEN,开始检测TOKEN状态......")
qlapi.login_by_token(token)
# 如果token失效就用账号密码登录
response = await qlapi.get_envs()
if response['code'] == 401:
logger.info("Token已失效, 正使用账号密码获取QL登录态......")
response = await qlapi.login_by_username(ql_data.get("username"), ql_data.get("password"))
if response['code'] != 200:
logger.error(f"账号密码登录失败. response: {response}")
raise Exception(f"账号密码登录失败. response: {response}")
else:
logger.info("Token正常可用......")
else:
# 最后用账号密码
logger.info("正使用账号密码获取QL登录态......")
response = await qlapi.login_by_username(ql_data.get("username"), ql_data.get("password"))
if response['code'] != 200:
logger.error(f"账号密码登录失败. response: {response}")
raise Exception(f"账号密码登录失败.response: {response}")
return qlapi
async def main():
try:
qlapi = await get_ql_api(qinglong_data)
send_api = SendApi("ql")
# 拿到禁用的用户列表
response = await qlapi.get_envs()
if response['code'] == 200:
logger.info("获取环境变量成功")
else:
logger.error(f"获取环境变量失败, response: {response}")
raise Exception(f"获取环境变量失败, response: {response}")
user_info = response['data']
# 获取需强制更新pt_pin
force_update_pt_pins = [user_datas[key]["pt_pin"] for key in user_datas if user_datas[key].get("force_update") is True]
# 获取需强制和需要强制更新的users
forbidden_users = [x for x in user_info if x['name'] == 'JD_COOKIE' and (x['status'] == 1 or x['value'].rstrip(';').split('pt_pin=')[1] in force_update_pt_pins)]
if not forbidden_users:
logger.info("所有COOKIE环境变量正常无需更新")
return
# 获取需要的字段
filter_users_list = filter_forbidden_users(forbidden_users, ['id', 'value', 'remarks', 'name'])
# 生成字典
user_dict = get_forbidden_users_dict(filter_users_list, user_datas)
# 登录JD获取pt_key
async with async_playwright() as playwright:
for user in user_dict:
logger.info(f"开始更新{user}")
pt_key = await get_jd_pt_key(playwright, user)
if pt_key is None:
logger.error(f"获取pt_key失败")
await send_msg(send_api, send_type=1, msg=f"{user} 更新失败")
continue
req_data = user_dict[user]
req_data["value"] = f"pt_key={pt_key};pt_pin={user_datas[user]['pt_pin']};"
logger.info(f"更新内容为{req_data}")
data = json.dumps(req_data)
response = await qlapi.set_envs(data=data)
if response['code'] == 200:
logger.info(f"{user}更新成功")
else:
logger.error(f"{user}更新失败, response: {response}")
await send_msg(send_api, send_type=1, msg=f"{user} 更新失败")
continue
data = bytes(f"[{req_data['id']}]", 'utf-8')
response = await qlapi.envs_enable(data=data)
if response['code'] == 200:
logger.info(f"{user}启用成功")
await send_msg(send_api, send_type=0, msg=f"{user} 更新成功")
else:
logger.error(f"{user}启用失败, response: {response}")
except Exception as e:
traceback.print_exc()
if __name__ == '__main__':
asyncio.run(main())