首页 / JAVASCRIPT / 地图搜租房功能实现
地图搜租房功能实现
内容导读
互联网集市收集整理的这篇技术教程文章主要介绍了地图搜租房功能实现，小编现在分享给大家，供广大互联网技能从业者学习和参考。文章包含8167字，纯文字阅读大概需要12分钟。
内容图文
这次给大家带来地图搜租房功能实现，地图搜租房功能实现的注意事项有哪些，下面就是实战案例，一起来看一下。
layout: post
title: 半个小时教你写一个毕设之地图搜租房
category: 其他
date: 2018-05-23
tags:
其他
半个小时教你写一个毕设之地图搜租房
首先需要一个Python3环境,怎么准备我就不多说了,实在不会的出门右转看一下廖雪峰老师的博客.
HTML部分
代码来自:高德API+Python解决租房问题,简单改了下加载数据部分
代码路径:/static/index.html
<html>
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="initial-scale=1.0, user-scalable=no, width=device-width">
<title>毕业生租房</title>
<link rel="stylesheet" href="http://cache.amap.com/lbs/static/main1119.css" />
<link rel="stylesheet" href="http://cache.amap.com/lbs/static/jquery.range.css" />
<script src="http://cache.amap.com/lbs/static/jquery-1.9.1.js"></script>
<script src="http://cache.amap.com/lbs/static/es5.min.js"></script>
<script src="http://webapi.amap.com/maps?v=1.3&key=22d3816e107f199992666d6412fa0691&plugin=AMap.ArrivalRange,AMap.Scale,AMap.Geocoder,AMap.Transfer,AMap.Autocomplete"></script>
<script src="http://cache.amap.com/lbs/static/jquery.range.js"></script>
<style>
.control-panel {
position: absolute;
top: 30px;
right: 20px;
}
.control-entry {
width: 280px;
background-color: rgba(119, 136, 153, 0.8);
font-family: fantasy, sans-serif;
text-align: left;
color: white;
overflow: auto;
padding: 10px;
margin-bottom: 10px;
}
.control-input {
margin-left: 120px;
}
.control-input input[type="text"] {
width: 160px;
}
.control-panel label {
float: left;
width: 120px;
}
#transfer-panel {
position: absolute;
background-color: white;
max-height: 80%;
overflow-y: auto;
top: 30px;
left: 20px;
width: 250px;
}
</style>
</head>
<body>
<p id="container"></p>
<p class="control-panel">
<p class="control-entry">
<label>选择工作地点：</label>
<p class="control-input">
<input id="work-location" type="text">
</p>
</p>
<p class="control-entry">
<label>选择通勤方式：</label>
<p class="control-input">
<input type="radio" name="vehicle" value="SUBWAY,BUS" onClick="takeBus(this)" checked/> 公交+地铁
<input type="radio" name="vehicle" value="SUBWAY" onClick="takeSubway(this)" /> 地铁
</p>
</p>
</p>
<p id="transfer-panel"></p>
<script>
var map = new AMap.Map("container", {
resizeEnable: true,
zoomEnable: true,
center: [116.397428, 39.90923],
zoom: 11
});
var scale = new AMap.Scale();
map.addControl(scale);
var arrivalRange = new AMap.ArrivalRange();
var x, y, t, vehicle = "SUBWAY,BUS";
var workAddress, workMarker;
var rentMarkerArray = [];
var polygonArray = [];
var amapTransfer;
var infoWindow = new AMap.InfoWindow({
offset: new AMap.Pixel(0, -30)
});
var auto = new AMap.Autocomplete({
input: "work-location"
});
AMap.event.addListener(auto, "select", workLocationSelected);
function takeBus(radio) {
vehicle = radio.value;
loadWorkLocation()
}
function takeSubway(radio) {
vehicle = radio.value;
loadWorkLocation()
}
function workLocationSelected(e) {
workAddress = e.poi.name;
loadWorkLocation();
}
function loadWorkMarker(x, y, locationName) {
workMarker = new AMap.Marker({
map: map,
title: locationName,
icon: 'http://webapi.amap.com/theme/v1.3/markers/n/mark_r.png',
position: [x, y]
});
}
function loadWorkRange(x, y, t, color, v) {
arrivalRange.search([x, y], t, function(status, result) {
if (result.bounds) {
for (var i = 0; i < result.bounds.length; i++) {
var polygon = new AMap.Polygon({
map: map,
fillColor: color,
fillOpacity: "0.4",
strokeColor: color,
strokeOpacity: "0.8",
strokeWeight: 1
});
polygon.setPath(result.bounds[i]);
polygonArray.push(polygon);
}
}
}, {
policy: v
});
}
function addMarkerByAddress(address, url) {
var geocoder = new AMap.Geocoder({
city: "北京",
radius: 1000
});
geocoder.getLocation(address, function(status, result) {
if (status === "complete" && result.info === 'OK') {
var geocode = result.geocodes[0];
rentMarker = new AMap.Marker({
map: map,
title: address,
icon: 'http://webapi.amap.com/theme/v1.3/markers/n/mark_b.png',
position: [geocode.location.getLng(), geocode.location.getLat()]
});
rentMarkerArray.push(rentMarker);
rentMarker.content = "<p>房源：<a target = '_blank' href='" + url + "'>" + address + "</a><p>"
rentMarker.on('click', function(e) {
infoWindow.setContent(e.target.content);
infoWindow.open(map, e.target.getPosition());
if (amapTransfer) amapTransfer.clear();
amapTransfer = new AMap.Transfer({
map: map,
policy: AMap.TransferPolicy.LEAST_TIME,
city: "北京市",
panel: 'transfer-panel'
});
amapTransfer.search([{
keyword: workAddress
}, {
keyword: address
}], function(status, result) {})
});
}
})
}
function delWorkLocation() {
if (polygonArray) map.remove(polygonArray);
if (workMarker) map.remove(workMarker);
polygonArray = [];
}
function delRentLocation() {
if (rentMarkerArray) map.remove(rentMarkerArray);
rentMarkerArray = [];
}
function loadWorkLocation() {
delWorkLocation();
var geocoder = new AMap.Geocoder({
city: "北京",
radius: 1000
});
geocoder.getLocation(workAddress, function(status, result) {
if (status === "complete" && result.info === 'OK') {
var geocode = result.geocodes[0];
x = geocode.location.getLng();
y = geocode.location.getLat();
loadWorkMarker(x, y);
loadWorkRange(x, y, 60, "#3f67a5", vehicle);
map.setZoomAndCenter(12, [x, y]);
}
})
}
$(function()
{
$.get("/get_houses", function(data) {
data.forEach(function(element, index) {
addMarkerByAddress(element.address, element.url);
});
});
})
</script>
</body>
</html>Python flask部分
Python3环境,使用安装Flask,pymysql,BeautifulSoup
pip install Flask; pip install pymysql; pip install beautifulsoup4; pip install requests;
然后直接上代码咯.
路径:/app.py
from flask import Flask, request
from flask import jsonify
from flask import render_template
from flask import Response
import requests
from bs4 import BeautifulSoup
import pymysql
app = Flask(name)
@app.route("/get_houses_db/")
def get_houses_db():
# 从数据库读出来的数据,url为房源url,address为房源定位地址
houses = []
# Connect to the database
connection = pymysql.connect(host='127.0.0.1',
user='root',
password='123',
db='你的数据库名字',
charset='utf8mb4',
cursorclass=pymysql.cursors.DictCursor)
try:
with connection.cursor() as cursor:
# Read a single record
sql = "SELECT 你的URL字段,你的地址字段 FROM 你的房源数据表 where 1=1;"
keyword = request.args.get('keyword')
if keyword is not None:
sql = sql + "查询字段 like %%s%" % keyword
cursor.execute(sql)
houses = cursor.fetchall()
finally:
connection.close()
return jsonify(houses)
@app.route("/get_houses", methods=['POST', 'GET'])
def get_houses():
# 直接从网页获取数据,url为房源url,address为房源定位地址
houses = []
city = request.args.get('city')
if city is None:
city = 'bj'
city_url = 'http://%s.58.com' % city
for page_num in range(1, 10):
url = "%s/pinpaigongyu/pn/%d/" % (city_url, page_num)
headers = {
'connection': "keep-alive",
'upgrade-insecure-requests': "1",
'user-agent': "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/66.0.3359.181 Safari/537.36",
'accept': "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8",
'accept-encoding': "gzip, deflate",
'accept-language': "zh-CN,zh;q=0.9,en;q=0.8,da;q=0.7",
'cookie': "f=n; f=n; id58=c5/njVsEqPqC7y9vB/RHAg==; 58tj_uuid=ac94c044-cbb8-451c-b6be-974f90197010; new_uv=1; utm_source=; spm=; init_refer=https%253A%252F%252Fcn.bing.com%252F; als=0; f=n; new_session=0; qz_gdt=; Hm_lvt_dcee4f66df28844222ef0479976aabf1=1527032264,1527032267,1527032270,1527032380; Hm_lpvt_dcee4f66df28844222ef0479976aabf1=1527032421; ppStore_fingerprint=3283C76981CCD1090B42ACBBF624A4C9613FE967CDC69C58%EF%BC%BF1527032420843",
'cache-control': "no-cache",
}
response = requests.request("GET", url, headers=headers)
htmlSoup = BeautifulSoup(response.text, "html.parser")
ul = htmlSoup.find(attrs={"class": "list"})
if ul is None:
continue
li_list = ul.find_all("li")
if li_list is None:
continue
for li in li_list:
house = {}
house['url'] = '%s/%s' % (city_url, li.find("a")['href'])
house['address'] = li.find("h2").text
houses.append(house)
return jsonify(houses)
@app.route('/')
def index():
return app.send_static_file('index.html')
if name == 'main':
app.run(port=8888)
# python3 安装flask之后,安装命令pip install Flask
# 运行 python app.py效果图:
相信看了本文案例你已经掌握了方法，更多精彩请关注Gxl网其它相关文章！
推荐阅读：
JS中的JSON和Math使用案例分析
EasyCanvas绘图库在Pixeler项目开发中使用实战总结
PromiseA+的实现步骤详解
以上就是地图搜租房功能实现的详细内容，更多请关注Gxl网其它相关文章！
内容总结
以上是互联网集市为您收集整理的地图搜租房功能实现全部内容，希望文章能够帮你解决地图搜租房功能实现所遇到的程序开发问题。 如果觉得互联网集市技术教程内容还不错，欢迎将互联网集市网站推荐给程序员好友。
内容备注
版权声明：本文内容由互联网用户自发贡献，该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容， 请发送邮件至 gblab@vip.qq.com 举报，一经查实，本站将立刻删除。
内容手机端
扫描二维码推送至手机访问。
来源：【匿名】