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main.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\"\"\"\n",
+    "author: yc\n",
+    "date: 2022/10/20\n",
+    "\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "school_id = 169  # 南京大学（研究生）\n",
+    "student_id = ''  # 学号\n",
+    "password = '123456'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import json\n",
+    "import re\n",
+    "import random\n",
+    "from time import sleep"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "referer = 'http://jy.anquanjy.com'\n",
+    "user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36 Edg/105.0.1343.53'\n",
+    "s = requests.Session()\n",
+    "s.headers.update({\n",
+    "    'User-Agent': user_agent,\n",
+    "    'Referer': referer\n",
+    "})\n",
+    "\n",
+    "with open('questions.json', 'r', encoding='utf-8') as f:\n",
+    "    question_bank = json.load(f)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "login_url = 'http://jy.anquanjy.com/inc/ajax/get/regLogin?isWeb=1&'\n",
+    "params = f'reg_school={school_id}&reg_xuehao={student_id}&reg_pass={password}'\n",
+    "r = s.get(login_url + params)\n",
+    "print(r.ok, r.json())\n",
+    "assert(int(r.json()['errCode']) == 0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "exam_info = {'isWeb':1, 'reg_from': 'PC端'}\n",
+    "r = s.get('http://jy.anquanjy.com/exam/ceshi')\n",
+    "assert(r.ok)\n",
+    "m = re.search(r'var school=\\{([^}]+)\\}', r.text)\n",
+    "t = m.group(1).strip().splitlines()\n",
+    "for line in t:\n",
+    "    key = line.strip().split(':')[0]\n",
+    "    m = re.findall(r'[0-9]+', line)\n",
+    "    if len(m) == 0:\n",
+    "        continue\n",
+    "    value = m[-1]\n",
+    "    exam_info[key] = value\n",
+    "\n",
+    "get_exam_rul = 'http://jy.anquanjy.com/inc/ajax/get/getShijuan?'\n",
+    "params = '&'.join(f'{key}={value}' for key, value in exam_info.items())\n",
+    "r = s.get(get_exam_rul + params)\n",
+    "exam_info['kaoshiId'] = r.json()['data']['ID']\n",
+    "\n",
+    "questions = r.json()['data']['list']\n",
+    "questions = json.loads(questions)\n",
+    "question_ids = [int(q['timu_id']) for q in questions]\n",
+    "answers = [(qid, question_bank[qid-1]['timu_daan']) for qid in question_ids]\n",
+    "\n",
+    "blank_ans_cnt = random.randint(1, 3)\n",
+    "one_score_questions = [i for i in range(len(questions)) if float(questions[i]['timu_fen']) == 1]\n",
+    "for i in random.sample(one_score_questions, k=blank_ans_cnt):\n",
+    "    answers[i] = (answers[i][0], '')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 提交太快会被判定为非法\n",
+    "sleep(60)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 如果被判非法，请重新执行该块\n",
+    "submit_url = 'http://jy.anquanjy.com/inc/ajax/save/saveKaoshi'\n",
+    "answers_str = ','.join([f'{qid}:{ans}' for qid, ans in answers])\n",
+    "submit_data = exam_info.copy()\n",
+    "# submit_data['reg_nowtime'] = int(exam_info['reg_nowtime']) + 30\n",
+    "submit_data['dati'] = answers_str\n",
+    "r = s.post(submit_url, submit_data)\n",
+    "print(r.json())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 获取题库\n",
+    "\n",
+    "# question_bank = []\n",
+    "# exercise_url = 'http://jy.anquanjy.com/inc/ajax/get/getLianxi?isWeb=1&'\n",
+    "# for i in tqdm(range(1, 21)):\n",
+    "#     params = '&page_size=50&page={}&pagecount=20&listcount=0'.format(i)\n",
+    "#     r = s.get(exercise_url + params)\n",
+    "#     question_bank += r.json()['data']['list']\n",
+    "\n",
+    "# with open('questions.json', 'w', encoding='utf-8') as f:\n",
+    "#     json.dump(question_bank, f)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.7 64-bit",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.7"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "650239b40d57889207069651a25b5f4398de4e8f6ad94d5be669e3968afbfcd9"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}