将医师定考模拟测评试题批量导出为 PDF

给朋友帮忙，想把某市医师服务协会网站上的定考模拟测评试题导出成 PDF，方便在手机上学习。

第一步：从网页抓取试题 JSON

经过操作分析，网页上每道试题都是一条 JSON 数据。代码没有混淆和加密，可以直接在浏览器 Console 里调用已有接口批量拉取。

var bbresult = [];
for (var i = 0; i < ordersortArray.length; i++) {
    var nextItemID = itemidArray[i];
    var nextItemType = itemtypeArray[i];
    var nextOrderSort = ordersortArray[i];
    $.ajax({
        url: '/Service/Web/GetItemSingleByPaperCodeAndItemCode',
        type: 'POST',
        async: false,
        data: {
            'paperCode': '1758ae61-7dc2-43b5-a726-2c81cc9fec9b',
            'itemCode': nextItemID,
            'itemType': nextItemType,
        },
        dataType: 'json',
        success: function (data) {
            bbresult.push(data);
            console.log("题号：" + nextOrderSort + ", 长度：" + bbresult.length);
        }
    });
}

执行完毕后，bbresult 里就是全部试题数据。取到的结果示例（节选）：

[
  {
    "DataCount": 0,
    "total": 0,
    "Status": 1,
    "Msg": "试题加载成功！",
    "DataList": {
      "PaperID": "1758ae61-7dc2-43b5-a726-2c81cc9fec9b",
      "ItemID": "00abcc70-5f06-4b6d-a821-dd93af2d97c1",
      "Caption": "<p>患者女，68岁，风湿性心脏病史，牙龈出血1年。检查见牙石，牙龈红肿，探诊出血。对其进行治疗时应注意以下内容，除外：（）</p>",
      "ItemType": "A2型",
      "Remark": "心脑血管疾病患者的牙周治疗时病史询问和收集要尽量全……",
      "OrderSort": 0,
      "AnswerSortNum": 3,
      "OptionList": [
        { "OptionContent": "接受治疗当天服用抗生素", "OrderSort": 1, "IsAnswer": false },
        { "OptionContent": "治疗前可用氯己定含漱液含漱", "OrderSort": 2, "IsAnswer": false },
        { "OptionContent": "避免进行手术治疗", "OrderSort": 3, "IsAnswer": true },
        { "OptionContent": "口腔卫生宣教", "OrderSort": 4, "IsAnswer": false },
        { "OptionContent": "详细询问病史", "OrderSort": 5, "IsAnswer": false }
      ]
    }
  }
]

把约 500 条数据存成 data.json。

第二步：用 ReportLab 生成 PDF

import json
import re

from reportlab.lib.pagesizes import A4
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.ttfonts import TTFont
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer


def remove_html_tags(text):
    """过滤字符串中的 HTML 标签"""
    clean = re.compile('<.*?>')
    return re.sub(clean, '', text)


if __name__ == '__main__':
    with open('data.json', 'r', encoding='utf-8') as file:
        data = json.load(file)

    pdfmetrics.registerFont(TTFont('MicrosoftYaHei', 'msyh.ttc'))

    doc = SimpleDocTemplate("paper.pdf", pagesize=A4)

    styles = getSampleStyleSheet()
    question_style = styles["Normal"]
    question_style.fontName = 'MicrosoftYaHei'
    question_style.leading = 18

    option_style = ParagraphStyle(
        "OptionStyle", parent=styles["Normal"], leftIndent=15, bulletIndent=20
    )

    elements = []

    for index, value in enumerate(data):
        d = value['DataList']
        ccc = str(index + 1) + ". " + remove_html_tags(d['Caption'])
        question_style.fontSize = 14
        caption = Paragraph(ccc, question_style)
        elements.append(caption)

        for o in d['OptionList']:
            question_style.fontSize = 12
            item = str(chr(ord('A') + int(o["OrderSort"]) - 1)) + ": " + remove_html_tags(o['OptionContent'])
            option_paragraph = Paragraph(item, option_style)
            elements.append(Spacer(18, 8))
            elements.append(option_paragraph)

        answer = Paragraph(
            "答案：" + str(chr(ord('A') + int(d["AnswerSortNum"]) - 1)), option_style
        )
        elements.append(answer)
        remark = Paragraph("解析：" + remove_html_tags(str(d["Remark"])), option_style)
        elements.append(remark)
        elements.append(Spacer(1, 20))

    doc.build(elements)

效果

PDF 效果非常不错，放在手机上查看清晰可读，收获范主任稀有的赞一次！

声明：代码不会对任何系统产生危害，所有操作均在正规注册付费账号里合规合法完成，未传播任何带有版权的数据。如有侵权，请联系删除。