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需求背景

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朋友的单位，有一个小型的图书室，图书室中摆放了很多的书，每本书都被编号放在对应的区域，为了让大家更快，更容易找到这些书，他联系我，让我帮他弄一个图书查询系统。可以通过用户输入，模糊匹配到对应的结果，并且提供书籍对应的地点。

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功能设计

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整体实现

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数据形态

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Excel样式主要包括书名和编号，同时下面包括分类的tab：

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基于函数的搜索功能

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核心代码实现：

\n= 0.25:\n result.append(eve)\n return result\n\n\ndef main_handler(event, context):\n try:\n print(event)\n name = event["body"]\n print(name)\n base_html = '''
{{book_name}}
分类：{{book_category}}
编号：{{book_number}}
'''\n result_str = ""\n for eve_book in getBookList(name, book_list):\n book_infor = book_dict[eve_book[1]]\n result_str = result_str + base_html.replace("{{book_name}}", book_infor['name']) \\\n .replace("{{book_category}}", book_infor['category']) \\\n .replace("{{book_number}}", book_infor['number'] if book_infor['number'] else "")\n if result_str:\n return result_str\n except Exception as e:\n print(e)\n return '''
未找到图书信息，请您重新搜索。
'''`, `29801174094876017000`)\"\n >\n \n 复制代码\n \n \n
import jieba\nimport openpyxl\nfrom gensim import corpora, models, similarities\nfrom collections import defaultdict\nimport urllib.request\n\nwith open(\"/tmp/book.xlsx\", \"wb\") as f:\n    f.write(\n        urllib.request.urlopen(\"https://********\").read()\n    )\n\n\ntop_str = \"abcdefghijklmn\"\nbook_dict = {}\nbook_list = []\nwb = openpyxl.load_workbook('/tmp/book.xlsx')\nsheets = wb.sheetnames\nfor eve_sheet in sheets:\n    print(eve_sheet)\n    sheet = wb.get_sheet_by_name(eve_sheet)\n    this_book_name_index = None\n    this_book_number_index = None\n    for eve_header in top_str:\n        if sheet[eve_header][0].value == \"书名\":\n            this_book_name_index = eve_header\n        if sheet[eve_header][0].value == \"编号\":\n            this_book_number_index = eve_header\n    print(this_book_name_index, this_book_number_index)\n    if this_book_name_index and this_book_number_index:\n        this_book_list_len = len(sheet[this_book_name_index])\n        for i in range(1, this_book_list_len):\n            add_key = \"%s_%s_%s\" % (\n                sheet[this_book_name_index][i].value, eve_sheet, sheet[this_book_number_index][i].value)\n            add_value = {\n                \"category\": eve_sheet,\n                \"name\": sheet[this_book_name_index][i].value,\n                \"number\": sheet[this_book_number_index][i].value\n            }\n            book_dict[add_key] = add_value\n            book_list.append(add_key)\n\n\ndef getBookList(book, book_list):\n    documents = []\n    for eve_sentence in book_list:\n        tempData = \" \".join(jieba.cut(eve_sentence))\n        documents.append(tempData)\n    texts = [[word for word in document.split()] for document in documents]\n    frequency = defaultdict(int)\n    for text in texts:\n        for word in text:\n            frequency[word] += 1\n    dictionary = corpora.Dictionary(texts)\n    new_xs = dictionary.doc2bow(jieba.cut(book))\n    corpus = [dictionary.doc2bow(text) for text in texts]\n    tfidf = models.TfidfModel(corpus)\n    featurenum = len(dictionary.token2id.keys())\n    sim = similarities.SparseMatrixSimilarity(\n        tfidf[corpus],\n        num_features=featurenum\n    )[tfidf[new_xs]]\n    book_result_list = [(sim[i], book_list[i]) for i in range(0, len(book_list))]\n    book_result_list.sort(key=lambda x: x[0], reverse=True)\n    result = []\n    for eve in book_result_list:\n        if eve[0] >= 0.25:\n            result.append(eve)\n    return result\n\n\ndef main_handler(event, context):\n    try:\n        print(event)\n        name = event[\"body\"]\n        print(name)\n        base_html = '''<div class='mui-card'><div class='mui-card-header'>{{book_name}}</div><div class='mui-card-content'><div class='mui-card-content-inner'>分类：{{book_category}}<br>编号：{{book_number}}</div></div></div>'''\n        result_str = \"\"\n        for eve_book in getBookList(name, book_list):\n            book_infor = book_dict[eve_book[1]]\n            result_str = result_str + base_html.replace(\"{{book_name}}\", book_infor['name']) \\\n                .replace(\"{{book_category}}\", book_infor['category']) \\\n                .replace(\"{{book_number}}\", book_infor['number'] if book_infor['number'] else \"\")\n        if result_str:\n            return result_str\n    except Exception as e:\n        print(e)\n    return '''<div class='mui-card' style='margin-top: 25px'><div class='mui-card-content'><div class='mui-card-content-inner'>未找到图书信息，请您重新搜索。</div></div></div>'''
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同时配置APIGW：

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功能页面

\n\n\n\n \n 图书检索系统\n \n \n \n\n \n \n \n\n\n
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图书检索系统

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\n \n
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\n   \n
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\n 可以在搜索框内输入书籍的全称，或者书籍的简称，系统支持智能检索功能。\n
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\n\n\n`, `69415972104179200000`)\"\n >\n \n 复制代码\n \n \n
<!DOCTYPE html>\n<html>\n<head>\n    <meta charset=\"utf-8\">\n    <title>图书检索系统</title>\n    <meta name=\"viewport\" content=\"width=device-width, initial-scale=1,maximum-scale=1,user-scalable=no\">\n    <meta name=\"apple-mobile-web-app-capable\" content=\"yes\">\n    <meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black\">\n\n    <link rel=\"stylesheet\" href=\"https://others-1256773370.cos.ap-chengdu.myqcloud.com/booksearch/css/mui.min.css\">\n    <style>\n        html,\n        body {\n            background-color: #efeff4;\n        }\n    </style>\n    <script>\n        function getResult() {\n            var UTFTranslate = {\n                Change: function (pValue) {\n                    return pValue.replace(/[^\\u0000-\\u00FF]/g, function ($0) {\n                        return escape($0).replace(/(%u)(\\w{4})/gi, \"&#x$2;\")\n                    });\n                },\n                ReChange: function (pValue) {\n                    return unescape(pValue.replace(/&#x/g, '%u').replace(/\\\\u/g, '%u').replace(/;/g, ''));\n                }\n            };\n\n            var xmlhttp;\n            if (window.XMLHttpRequest) {\n                // IE7+, Firefox, Chrome, Opera, Safari 浏览器执行代码\n                xmlhttp = new XMLHttpRequest();\n            } else {\n                // IE6, IE5 浏览器执行代码\n                xmlhttp = new ActiveXObject(\"Microsoft.XMLHTTP\");\n            }\n            xmlhttp.onreadystatechange = function () {\n                if (xmlhttp.readyState == 4 && xmlhttp.status == 200 && xmlhttp.responseText) {\n                    document.getElementById(\"result\").innerHTML = UTFTranslate.ReChange(xmlhttp.responseText).slice(1, -1).replace(\"\\\"\",'\"');\n                }\n            }\n            xmlhttp.open(\"POST\", \"https://********\", true);\n            xmlhttp.setRequestHeader(\"Content-type\", \"application/x-www-form-urlencoded\");\n            xmlhttp.send(document.getElementById(\"book\").value);\n        }\n    </script>\n</head>\n<body>\n<div class=\"mui-content\" style=\"margin-top: 50px\">\n    <h3 style=\"text-align: center\">图书检索系统</h3>\n    <div class=\"mui-content-padded\" style=\"margin: 10px; margin-top: 20px\">\n        <div class=\"mui-input-row mui-search\">\n            <input type=\"search\" class=\"mui-input-clear\" placeholder=\"请输入图书名\" id=\"book\">\n        </div>\n        <div class=\"mui-button-row\">\n            <button type=\"button\" class=\"mui-btn mui-btn-numbox-plus\" style=\"width: 100%\" onclick=\"getResult()\">检索\n            </button>&nbsp;&nbsp;\n        </div>\n    </div>\n    <div id=\"result\">\n        <div class=\"mui-card\" style=\"margin-top: 25px\">\n            <div class=\"mui-card-content\">\n                <div class=\"mui-card-content-inner\">\n                    可以在搜索框内输入书籍的全称，或者书籍的简称，系统支持智能检索功能。\n                </div>\n            </div>\n        </div>\n    </div>\n</div>\n<script src=\"https://others-1256773370.cos.ap-chengdu.myqcloud.com/booksearch/js/mui.min.js\"></script>\n</body>\n</html>
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效果展示

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为了便于朋友使用，将这个页面用过Webview封装成一个APP，整体效果如下：

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总结

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这个APP是一个低频使用APP，可以这样认为，如果做在一个传统服务器上，这应该不是一个明智的选择，云函数的按量付费，对象存储与APIGW的融合，完美解决了资源浪费的问题，同时借用云函数的APIGW触发器，很简单轻松的替代传统的Web框架和部分服务器软件的安装和使用、维护等。这个例子非常小，但是确是一个有趣的小工具，除了图书查询之外，还可以考虑做成成绩查询等。

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传送门：

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欢迎访问：Serverless 中文网，您可以在 最佳实践 里体验更多关于 Serverless 应用的开发！

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