需求背景
朋友的單位，有一個小型的圖書室，圖書室中擺放了很多的書，每本書都被編號放在對應(yīng)的區(qū)域，為了讓大家更快，更容易找到這些書，他聯(lián)系我，讓我?guī)退粋€圖書查詢系統(tǒng)。按道理來說，這個應(yīng)該是一個比較復(fù)雜的項目，但是考慮到了云函數(shù)的存在，所以就打算把整個應(yīng)用部署在Serverless架構(gòu)上。
功能設(shè)計
- 讓朋友把書籍整理信息，存儲到一個Excel表格中；
- 將Excel表放到COS中，云函數(shù)讀取這個表，并且解析；
- 根據(jù)詞語的相似尋找相似的圖書；
- 前端頁面通過MUI制作，放在cos中；
整體實現(xiàn)
Excel樣式：
image
主要包括書名和編號，同時下面包括分類的tab：
image
核心代碼實現(xiàn)：
import jieba
import openpyxl
from gensim import corpora, models, similarities
from collections import defaultdict
import urllib.request
with open("/tmp/book.xlsx", "wb") as f:
f.write(
urllib.request.urlopen("https://********").read()
)
top_str = "abcdefghijklmn"
book_dict = {}
book_list = []
wb = openpyxl.load_workbook('/tmp/book.xlsx')
sheets = wb.sheetnames
for eve_sheet in sheets:
print(eve_sheet)
sheet = wb.get_sheet_by_name(eve_sheet)
this_book_name_index = None
this_book_number_index = None
for eve_header in top_str:
if sheet[eve_header][0].value == "書名":
this_book_name_index = eve_header
if sheet[eve_header][0].value == "編號":
this_book_number_index = eve_header
print(this_book_name_index, this_book_number_index)
if this_book_name_index and this_book_number_index:
this_book_list_len = len(sheet[this_book_name_index])
for i in range(1, this_book_list_len):
add_key = "%s_%s_%s" % (
sheet[this_book_name_index][i].value, eve_sheet, sheet[this_book_number_index][i].value)
add_value = {
"category": eve_sheet,
"name": sheet[this_book_name_index][i].value,
"number": sheet[this_book_number_index][i].value
}
book_dict[add_key] = add_value
book_list.append(add_key)
def getBookList(book, book_list):
documents = []
for eve_sentence in book_list:
tempData = " ".join(jieba.cut(eve_sentence))
documents.append(tempData)
texts = [[word for word in document.split()] for document in documents]
frequency = defaultdict(int)
for text in texts:
for word in text:
frequency[word] += 1
dictionary = corpora.Dictionary(texts)
new_xs = dictionary.doc2bow(jieba.cut(book))
corpus = [dictionary.doc2bow(text) for text in texts]
tfidf = models.TfidfModel(corpus)
featurenum = len(dictionary.token2id.keys())
sim = similarities.SparseMatrixSimilarity(
tfidf[corpus],
num_features=featurenum
)[tfidf[new_xs]]
book_result_list = [(sim[i], book_list[i]) for i in range(0, len(book_list))]
book_result_list.sort(key=lambda x: x[0], reverse=True)
result = []
for eve in book_result_list:
if eve[0] >= 0.25:
result.append(eve)
return result
def main_handler(event, context):
try:
print(event)
name = event["body"]
print(name)
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'>分類：{{book_category}}<br>編號：{{book_number}}</div></div></div>'''
result_str = ""
for eve_book in getBookList(name, book_list):
book_infor = book_dict[eve_book[1]]
result_str = result_str + base_html.replace("{{book_name}}", book_infor['name']) \
.replace("{{book_category}}", book_infor['category']) \
.replace("{{book_number}}", book_infor['number'] if book_infor['number'] else "")
if result_str:
return result_str
except Exception as e:
print(e)
return '''<div class='mui-card' style='margin-top: 25px'><div class='mui-card-content'><div class='mui-card-content-inner'>未找到圖書信息，請您重新搜索。</div></div></div>'''
同時配置APIGW：
image
首頁：
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>圖書檢索系統(tǒng)</title>
<meta name="viewport" content="width=device-width, initial-scale=1,maximum-scale=1,user-scalable=no">
<meta name="apple-mobile-web-app-capable" content="yes">
<meta name="apple-mobile-web-app-status-bar-style" content="black">
<link rel="stylesheet" >
<style>
html,
body {
background-color: #efeff4;
}
</style>
<script>
function getResult() {
var UTFTranslate = {
Change: function (pValue) {
return pValue.replace(/[^\u0000-\u00FF]/g, function ($0) {
return escape($0).replace(/(%u)(\w{4})/gi, "&#x$2;")
});
},
ReChange: function (pValue) {
return unescape(pValue.replace(/&#x/g, '%u').replace(/\\u/g, '%u').replace(/;/g, ''));
}
};
var xmlhttp;
if (window.XMLHttpRequest) {
// IE7+, Firefox, Chrome, Opera, Safari 瀏覽器執(zhí)行代碼
xmlhttp = new XMLHttpRequest();
} else {
// IE6, IE5 瀏覽器執(zhí)行代碼
xmlhttp = new ActiveXObject("Microsoft.XMLHTTP");
}
xmlhttp.onreadystatechange = function () {
if (xmlhttp.readyState == 4 && xmlhttp.status == 200 && xmlhttp.responseText) {
document.getElementById("result").innerHTML = UTFTranslate.ReChange(xmlhttp.responseText).slice(1, -1).replace("\"",'"');
}
}
xmlhttp.open("POST", "https://********", true);
xmlhttp.setRequestHeader("Content-type", "application/x-www-form-urlencoded");
xmlhttp.send(document.getElementById("book").value);
}
</script>
</head>
<body>
<div class="mui-content" style="margin-top: 50px">
<h3 style="text-align: center">圖書檢索系統(tǒng)</h3>
<div class="mui-content-padded" style="margin: 10px; margin-top: 20px">
<div class="mui-input-row mui-search">
<input type="search" class="mui-input-clear" placeholder="請輸入圖書名" id="book">
</div>
<div class="mui-button-row">
<button type="button" class="mui-btn mui-btn-numbox-plus" style="width: 100%" onclick="getResult()">檢索
</button>
</div>
</div>
<div id="result">
<div class="mui-card" style="margin-top: 25px">
<div class="mui-card-content">
<div class="mui-card-content-inner">
可以在搜索框內(nèi)輸入書籍的全稱，或者書籍的簡稱，系統(tǒng)支持智能檢索功能。
</div>
</div>
</div>
</div>
</div>
<script aaaaaa="https://others-1256773370.cos.ap-chengdu.myqcloud.com/booksearch/js/mui.min.js"></script>
</body>
</html>
效果展示
首頁：
image
搜索結(jié)果：
image
（我是通過Webview封裝成一個APP）
總結(jié)
這個APP是一個低頻使用APP，可以這樣認(rèn)為，如果做在一個傳統(tǒng)服務(wù)器上，這應(yīng)該不是一個明智的選擇，云函數(shù)的按量付費，cos與APIGW的融合，完美解決了資源浪費的問題，同時借用云函數(shù)的APIGW觸發(fā)器，很簡單輕松的替代傳統(tǒng)的Web框架和部分服務(wù)器軟件的安裝和使用、維護等。這個例子非常小，但是確是一個有趣的小工具，除了圖書查詢之外，還可以考慮做成成績查詢等。
image
