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main.py
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529 lines (444 loc) · 16.3 KB
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import requests
from PIL import Image
from io import BytesIO
from bs4 import BeautifulSoup
from captcha_ocr import get_ocr_res
import os
from dotenv import load_dotenv
import json
from dingtalk import dingtalk
from feishu import feishu
import logging
import re
load_dotenv()
# 钉钉机器人推送
DD_BOT_TOKEN = os.getenv("DD_BOT_TOKEN")
DD_BOT_SECRET = os.getenv("DD_BOT_SECRET")
# 飞书机器人推送
FEISHU_BOT_URL = os.getenv("FEISHU_BOT_URL")
FEISHU_BOT_SECRET = os.getenv("FEISHU_BOT_SECRET")
# 学期配置
SEMESTER = os.getenv("SEMESTER", "2024-2025-2") # 默认值为当前学期
# 设置日志配置
logging.basicConfig(
level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
)
# 设置基本的URL和数据
RandCodeUrl = "http://zhjw.qfnu.edu.cn/verifycode.servlet" # 验证码请求URL
loginUrl = "http://zhjw.qfnu.edu.cn/Logon.do?method=logonLdap" # 登录请求URL
dataStrUrl = (
"http://zhjw.qfnu.edu.cn/Logon.do?method=logon&flag=sess" # 初始数据请求URL
)
def get_initial_session():
"""
创建会话并获取初始数据
返回: (session对象, cookies字典, 初始数据字符串)
"""
session = requests.session()
response = session.get(dataStrUrl, timeout=1000)
cookies = session.cookies.get_dict()
return session, cookies, response.text
def handle_captcha(session, cookies):
"""
获取并识别验证码
返回: 识别出的验证码字符串
"""
response = session.get(RandCodeUrl, cookies=cookies)
# 添加调试信息
if response.status_code != 200:
logging.error(f"请求验证码失败,状态码: {response.status_code}")
return None
try:
image = Image.open(BytesIO(response.content))
except Exception as e:
logging.error(f"无法识别图像文件: {e}")
return None
return get_ocr_res(image)
def generate_encoded_string(data_str, user_account, user_password):
"""
生成登录所需的encoded字符串
参数:
data_str: 初始数据字符串
user_account: 用户账号
user_password: 用户密码
返回: encoded字符串
"""
res = data_str.split("#")
code, sxh = res[0], res[1]
data = f"{user_account}%%%{user_password}"
encoded = ""
b = 0
for a in range(len(code)):
if a < 20:
encoded += data[a]
for _ in range(int(sxh[a])):
encoded += code[b]
b += 1
else:
encoded += data[a:]
break
return encoded
def login(session, cookies, user_account, user_password, random_code, encoded):
"""
执行登录操作
返回: 登录响应结果
"""
headers = {
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9",
"Content-Type": "application/x-www-form-urlencoded",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.116 Safari/537.36",
"Origin": "http://zhjw.qfnu.edu.cn",
"Referer": "http://zhjw.qfnu.edu.cn/",
"Upgrade-Insecure-Requests": "1",
}
data = {
"userAccount": user_account,
"userPassword": user_password,
"RANDOMCODE": random_code,
"encoded": encoded,
}
return session.post(
loginUrl, headers=headers, data=data, cookies=cookies, timeout=1000
)
def get_user_credentials():
"""
获取用户账号和密码
返回: (user_account, user_password)
"""
user_account = os.getenv("USER_ACCOUNT")
user_password = os.getenv("USER_PASSWORD")
if user_account and user_password:
logging.info(f"用户名: {user_account[:2]}{'*' * (len(user_account)-2)}")
logging.info(f"密码: {'*' * len(user_password)}")
else:
logging.error("请在.env文件中设置USER_ACCOUNT和USER_PASSWORD环境变量")
return None, None
return user_account, user_password
def simulate_login(user_account, user_password):
"""
模拟登录过程
返回: (session对象, cookies字典)
抛出:
Exception: 当验证码错误时
"""
session, cookies, data_str = get_initial_session()
for attempt in range(3): # 尝试三次
random_code = handle_captcha(session, cookies)
logging.info(f"验证码: {random_code}")
encoded = generate_encoded_string(data_str, user_account, user_password)
response = login(
session, cookies, user_account, user_password, random_code, encoded
)
# 检查响应状态码和内容
if response.status_code == 200:
if "验证码错误!!" in response.text:
logging.warning(f"验证码识别错误,重试第 {attempt + 1} 次")
continue # 继续尝试
if "密码错误" in response.text:
raise Exception("用户名或密码错误")
logging.info("登录成功,cookies已返回")
return session, cookies
else:
raise Exception("登录失败")
raise Exception("验证码识别错误,请重试")
# 访问成绩页面
def get_score_page(session, cookies):
url = "http://zhjw.qfnu.edu.cn/jsxsd/kscj/cjcx_list"
respense = session.get(url, cookies=cookies)
return respense.text
# 解析成绩页面
def analyze_score_page(pagehtml):
soup = BeautifulSoup(pagehtml, "lxml")
results = []
# 找到成绩表格
table = soup.find("table", {"id": "dataList"})
if table:
# 遍历表格的每一行
rows = table.find_all("tr")[1:] # 跳过表头 # type: ignore
for row in rows:
columns = row.find_all("td")
if len(columns) > 5:
subject_name = columns[3].get_text(strip=True)
score = columns[5].get_text(strip=True)
results.append((subject_name, score))
return results
# 分离新增成绩的科目和成绩
def get_new_scores(current_scores, last_scores):
"""
获取新增的成绩
参数:
current_scores: 当前获取的成绩列表
last_scores: 上一次获取的成绩列表
返回: 新增成绩的列表
"""
# 在current_scores中找出last_scores中不存在的元素
new_scores = [score for score in current_scores if score not in last_scores]
return new_scores
def print_welcome():
logging.info("\n" * 10)
logging.info(f"\n{'*' * 10} 曲阜师范大学成绩监控脚本 {'*' * 10}\n")
logging.info("By W1ndys")
logging.info("https://github.com/W1ndys/QFNUScoreReminder")
logging.info("https://www.w1ndys.top")
def save_scores_to_file(scores, filename="scores.json"):
"""
将成绩保存到本地文件
参数:
scores: 成绩列表
filename: 保存的文件名
"""
with open(filename, "w", encoding="utf-8") as f:
json.dump(scores, f, ensure_ascii=False, indent=4)
def safe_file_write(filename, content, mode="w", encoding="utf-8"):
"""
安全地写入文件,如果目录不存在则创建
参数:
filename: 文件名
content: 要写入的内容
mode: 写入模式
encoding: 文件编码
"""
try:
# 确保目录存在
os.makedirs(
os.path.dirname(filename) if os.path.dirname(filename) else ".",
exist_ok=True,
)
with open(filename, mode, encoding=encoding) as f:
f.write(content)
return True
except Exception as e:
logging.error(f"写入文件 {filename} 失败: {e}")
return False
def load_scores_from_file(filename="scores.json"):
"""
从本地文件加载成绩
参数:
filename: 文件名
返回: 成绩列表
"""
try:
if os.path.exists(filename):
with open(filename, "r", encoding="utf-8") as f:
data = f.read()
if data.strip(): # 检查文件是否有数据
return json.loads(data)
else:
logging.info(f"文件 {filename} 为空,初始化为空列表")
return []
else:
logging.info(f"文件 {filename} 不存在,创建新文件")
# 确保目录存在
os.makedirs(
os.path.dirname(filename) if os.path.dirname(filename) else ".",
exist_ok=True,
)
with open(filename, "w", encoding="utf-8") as f:
f.write("[]")
return []
except Exception as e:
logging.error(f"读取文件 {filename} 失败: {e}")
return []
# 获取全部学期的绩点和学分
def get_all_semester_scores(session, cookies):
"""
获取全部学期的绩点和学分
参数:
session: requests会话对象
cookies: 会话cookies
返回: 总学分和平均绩点
"""
url = "http://zhjw.qfnu.edu.cn/jsxsd/kscj/cjcx_list"
response = session.get(url, cookies=cookies)
# 使用正则表达式提取总学分和平均绩点
total_credits_match = re.search(r"所修总学分:(\d+)", response.text)
average_gpa_match = re.search(r"平均学分绩点:(\d+\.\d+)", response.text)
if total_credits_match and average_gpa_match:
total_credits = total_credits_match.group(1)
average_gpa = average_gpa_match.group(1)
return total_credits, average_gpa
else:
return None, None
# 解析HTML页面,返回学分和绩点的元组列表
def parse_credits_and_gpa(session, cookies):
"""
解析HTML页面,返回学分和绩点的元组列表
参数:
html_content: HTML页面内容
返回: [(学分, 绩点), ...] 的列表
"""
url = f"http://zhjw.qfnu.edu.cn/jsxsd/kscj/cjcx_list?kksj={SEMESTER}&kcxz=&kcmc=&xsfs=all"
response = session.get(url, cookies=cookies)
soup = BeautifulSoup(response.text, "lxml")
results = []
# 找到成绩表格
table = soup.find("table", {"id": "dataList"})
if table:
# 遍历表格的每一行
rows = table.find_all("tr")[1:] # 跳过表头 # type: ignore
for row in rows:
columns = row.find_all("td")
if len(columns) > 9: # 确保有足够的列
try:
credits = float(columns[7].get_text(strip=True))
gpa = float(columns[9].get_text(strip=True))
results.append((credits, gpa))
except ValueError:
# 如果转换失败,跳过该行
continue
return results
# 计算平均学分绩点
def calculate_average_gpa(credits_and_points):
"""
计算平均学分绩点
参数:
credits_and_points: [(学分, 绩点), ...] 的列表
返回: 平均学分绩点
"""
total_points = 0
total_credits = 0
for credit, grade_point in credits_and_points:
total_points += grade_point * credit
total_credits += credit
if total_credits == 0:
return 0
return total_points / total_credits
def validate_credentials(user_account, user_password):
"""
验证用户凭据是否存在
"""
logging.info("获取环境变量")
if not user_account or not user_password:
logging.error(
"请在.env文件中设置USER_ACCOUNT、USER_PASSWORD、DD_BOT_TOKEN、DD_BOT_SECRET、FEISHU_BOT_URL、FEISHU_BOT_SECRET、SEMESTER环境变量"
)
with open(".env", "w", encoding="utf-8") as f:
f.write(
"USER_ACCOUNT=\nUSER_PASSWORD=\nDD_BOT_TOKEN=\nDD_BOT_SECRET=\nFEISHU_BOT_URL=\nFEISHU_BOT_SECRET=\nSEMESTER=2024-2025-2"
)
return False
logging.info("获取环境变量成功")
return True
def notify_connection_issue(user_account):
"""
通知用户连接问题
"""
logging.error("无法建立会话,请检查网络连接或教务系统的可用性。")
if DD_BOT_TOKEN and DD_BOT_SECRET:
dingtalk(
DD_BOT_TOKEN,
DD_BOT_SECRET,
"成绩监控通知",
f"学号: {user_account}\n无法建立会话,请检查网络连接或教务系统的可用性。",
)
if FEISHU_BOT_URL and FEISHU_BOT_SECRET:
feishu(
title="成绩监控通知",
content=f"学号: {user_account}\n无法建立会话,请检查网络连接或教务系统的可用性。",
)
def process_scores(session, cookies, user_account):
"""
处理成绩信息
"""
last_score_list = load_scores_from_file()
score_page = get_score_page(session, cookies)
score_list = analyze_score_page(score_page)
score_list_converted = [list(score) for score in score_list]
if not last_score_list:
initialize_scores(score_list_converted, user_account)
elif score_list_converted != last_score_list:
logging.info("更新成绩")
update_scores(score_list_converted, last_score_list, user_account)
else:
logging.info("没有新成绩")
def initialize_scores(score_list_converted, user_account):
"""
初始化保存当前成绩
"""
logging.info("初始化保存当前成绩")
save_scores_to_file(score_list_converted)
notify_new_scores("初始化保存当前成绩成功", user_account)
def update_scores(score_list_converted, last_score_list, user_account):
"""
更新成绩并通知用户
"""
new_scores = get_new_scores(score_list_converted, last_score_list)
if new_scores:
logging.info(f"发现新成绩!{new_scores}")
message = "\n".join(
[f"科目: {score[0]}\n成绩: {score[1]}" for score in new_scores]
)
notify_new_scores(f"发现新成绩!\n{message}", user_account)
save_scores_to_file(score_list_converted)
def notify_new_scores(message, user_account):
"""
通过钉钉和飞书通知新成绩
"""
if DD_BOT_TOKEN and DD_BOT_SECRET:
dingtalk(
DD_BOT_TOKEN,
DD_BOT_SECRET,
"成绩监控通知",
f"学号: {user_account}\n{message}",
)
if FEISHU_BOT_URL and FEISHU_BOT_SECRET:
feishu(
title="成绩监控通知",
content=f"学号: {user_account}\n{message}",
)
def handle_exception(e, user_account):
"""
处理异常并通知用户
"""
logging.error(f"发生错误: {e}")
if DD_BOT_TOKEN and DD_BOT_SECRET:
dingtalk(
DD_BOT_TOKEN,
DD_BOT_SECRET,
"成绩监控通知",
f"学号: {user_account}\n发生错误: {e}",
)
if FEISHU_BOT_URL and FEISHU_BOT_SECRET:
feishu(
title="成绩监控通知",
content=f"学号: {user_account}\n发生错误: {e}",
)
def main():
"""
主函数,协调整个程序的执行流程
"""
print_welcome()
logging.info("开始执行")
try:
user_account, user_password = get_user_credentials()
if not validate_credentials(user_account, user_password):
return
session, cookies = simulate_login(user_account, user_password)
if not session or not cookies:
notify_connection_issue(user_account)
return
logging.info("开始处理成绩")
process_scores(session, cookies, user_account)
# 获取全部学期的总学分和平均绩点
total_credits, average_gpa = get_all_semester_scores(session, cookies)
logging.info(f"总学分: {total_credits}, 平均绩点: {average_gpa}")
# 使用安全的文件写入方法
if not safe_file_write(
"output.txt", f"总学分: {total_credits}, 平均绩点: {average_gpa}\n"
):
logging.error("保存总学分和平均绩点数据失败")
else:
logging.info("总学分和平均绩点数据保存成功")
# 计算本学期绩点
credits_and_points = parse_credits_and_gpa(session, cookies)
semester_average_gpa = calculate_average_gpa(credits_and_points)
logging.info(f"{SEMESTER}平均绩点: {semester_average_gpa}")
# 追加写入本学期绩点
if not safe_file_write(
"output.txt", f"{SEMESTER}平均绩点: {semester_average_gpa}\n", mode="a"
):
logging.error(f"保存{SEMESTER}平均绩点数据失败")
except Exception as e:
handle_exception(e, user_account)
if __name__ == "__main__":
main()