├── frontend
    ├── __init__.py
    ├── static
    │   ├── images
    │   │   ├── bg.jpg
    │   │   ├── line.png
    │   │   └── head_bg.png
    │   ├── picture
    │   │   ├── jt.png
    │   │   ├── lbx.png
    │   │   ├── map.png
    │   │   ├── loading.gif
    │   │   └── weather.png
    │   ├── font
    │   │   └── DS-DIGIT.TTF
    │   ├── css
    │   │   └── comon0.css
    │   └── js
    │   │   ├── index.html
    │   │   ├── js.js
    │   │   └── china.js
    ├── templates
    │   ├── test.html
    │   └── index.html
    └── run.py
├── zhihu.db
├── backend.png
├── zhihu_crawler.png
├── .vscode
    └── settings.json
├── backend
    ├── __pycache__
    │   ├── config.cpython-37.pyc
    │   ├── dbTool.cpython-37.pyc
    │   └── create_table.cpython-37.pyc
    ├── create_table.py
    ├── config.py
    ├── zhihu.py
    └── dbTool.py
├── temp.json
└── README.md


/frontend/__init__.py:
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1 | 


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/zhihu.db:
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https://raw.githubusercontent.com/Albert-W/python_crawler/HEAD/zhihu.db


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/backend.png:
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https://raw.githubusercontent.com/Albert-W/python_crawler/HEAD/backend.png


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/zhihu_crawler.png:
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https://raw.githubusercontent.com/Albert-W/python_crawler/HEAD/zhihu_crawler.png


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/.vscode/settings.json:
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1 | {
2 |     "python.pythonPath": "/home/yichang/miniconda3/bin/python"
3 | }


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/frontend/static/images/bg.jpg:
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https://raw.githubusercontent.com/Albert-W/python_crawler/HEAD/frontend/static/images/bg.jpg


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/frontend/static/images/line.png:
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https://raw.githubusercontent.com/Albert-W/python_crawler/HEAD/frontend/static/images/line.png


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/frontend/static/picture/jt.png:
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https://raw.githubusercontent.com/Albert-W/python_crawler/HEAD/frontend/static/picture/jt.png


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/frontend/static/picture/lbx.png:
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https://raw.githubusercontent.com/Albert-W/python_crawler/HEAD/frontend/static/picture/lbx.png


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/frontend/static/picture/map.png:
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https://raw.githubusercontent.com/Albert-W/python_crawler/HEAD/frontend/static/picture/map.png


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/frontend/static/font/DS-DIGIT.TTF:
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https://raw.githubusercontent.com/Albert-W/python_crawler/HEAD/frontend/static/font/DS-DIGIT.TTF


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/frontend/static/images/head_bg.png:
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https://raw.githubusercontent.com/Albert-W/python_crawler/HEAD/frontend/static/images/head_bg.png


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/frontend/static/picture/loading.gif:
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https://raw.githubusercontent.com/Albert-W/python_crawler/HEAD/frontend/static/picture/loading.gif


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/frontend/static/picture/weather.png:
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https://raw.githubusercontent.com/Albert-W/python_crawler/HEAD/frontend/static/picture/weather.png


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/backend/__pycache__/config.cpython-37.pyc:
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https://raw.githubusercontent.com/Albert-W/python_crawler/HEAD/backend/__pycache__/config.cpython-37.pyc


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/backend/__pycache__/dbTool.cpython-37.pyc:
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https://raw.githubusercontent.com/Albert-W/python_crawler/HEAD/backend/__pycache__/dbTool.cpython-37.pyc


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/backend/__pycache__/create_table.cpython-37.pyc:
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https://raw.githubusercontent.com/Albert-W/python_crawler/HEAD/backend/__pycache__/create_table.cpython-37.pyc


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/temp.json:
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1 | {"title": "\u4f60\u5728\u54ea\u4e2a\u77ac\u95f4\u51b3\u5b9a\u4e00\u8f88\u5b50\u4e0d\u7528\u534e\u4e3a\u7684\u4efb\u4f55\u4ea7\u54c1\uff1f", "content": "\u955c\u50cf\u95ee\u9898\uff1a\u4f60\u5728\u54ea\u4e2a\u77ac\u95f4\u8981\u505a\u534e\u4e3a\u7c89\u4e86\uff1fhttp://www.zhihu.com/question/305664092", "ans_c": "12511", "followers": "33009", "read_count": "27213716"}


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/backend/create_table.py:
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 1 | import sys,os ,json
 2 | sys.path.append(os.getcwd())
 3 | from sqlalchemy import create_engine, Integer,String, Text 
 4 | from backend import config
 5 | from sqlalchemy.orm import sessionmaker
 6 | from sqlalchemy.ext.declarative import declarative_base
 7 | from sqlalchemy import Column
 8 | 
 9 | # 创建数据库的连接
10 | engine = create_engine(config.sqlPath, connect_args={'check_same_thread': False})
11 | # 操作数据库
12 | Session = sessionmaker(bind = engine)
13 | 
14 | # 声明一个基类
15 | Base = declarative_base()
16 | 
17 | class zhihuTables(Base):
18 |     # 表名称
19 |     __tablename__ = config.tableName
20 | 
21 |     id = Column(Integer, primary_key = True, autoincrement = True)
22 | 
23 |     articleId = Column(Integer)
24 | 
25 |     authorName = Column(String(length = 32)) 
26 | 
27 |     authorId = Column(Integer) 
28 | 
29 |     followers = Column(Integer)
30 | 
31 |     createTime = Column(String)
32 |     createDate = Column(Text)
33 | 
34 |     vote = Column(Integer)
35 | 
36 |     content = Column(Text)
37 | 
38 | if __name__ == "__main__":
39 |     # 创建数据表
40 |     zhihuTables.metadata.create_all(engine)


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/frontend/templates/test.html:
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 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>行业、城市、工资对比关系柱形图</title>
 6 |     <script src="../static/js/echarts.min.js"></script>
 7 |     <script src="../static/js/jquery.js"></script>
 8 | </head>
 9 | <body>
10 | <div id="main" style="height: 500px"></div>
11 | <script type="text/javascript">
12 |     $.ajax({
13 |         type:'get',
14 |         url:'/get_data',
15 |         dataType:'json',
16 |         success:function (returndata) {
17 |             console.log(returndata);
18 |             test_bar(returndata)
19 |         }
20 |     });
21 |     function test_bar(series_data) {
22 |         var mychart = echarts.init(document.getElementById("main"));
23 |         option = {
24 |             title: {
25 |                 text: '行业、城市、工资对比关系柱形图',
26 |                 left: 'center'
27 |             },
28 |             tooltip: {},
29 |             legend: {
30 |                 orient: "vertical",
31 |                 // data: ['城市一', '城市二', '城市三', '城市四', '城市五'],
32 |                 data:series_data['legend_data'],
33 |                 left: 'right'
34 |             },
35 |             xAxis: {
36 |                 // data: ['行业一', '行业二', '行业三', '行业四', '行业五']
37 |                 data:series_data['x_name']
38 |             },
39 |             yAxis: {},
40 |             series: series_data['data']
41 |         };
42 |         mychart.setOption(option);
43 |     }
44 | 
45 | </script>
46 | 
47 | </body>
48 | </html>


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/README.md:
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 1 | # python_crawler
 2 | 本项目旨要做一个轻量，易读，方便拓展的 知乎爬虫。 
 3 | 
 4 | 设计之初就尽量避免引入额外的框架和数据库引擎，因此它是一个**python原生爬虫**，数据库采用的是最轻便的sqlLite。 所有的定制信息都从config文件导入, 修改它可以实现定制功能。
 5 |  
 6 | ## 效果展示
 7 | 前端展示
 8 | 
 9 | ![image](zhihu_crawler.png)
10 | 
11 | 数据库展示
12 | 
13 | ![image](backend.png)
14 | 
15 | ## 前置条件
16 | 为方便数据库与对象的映射， 引入了sqlalchemy; 
17 | 为了提供网页服务器，采用了flask, 此外没有其他包了。
18 | 
19 | ```bash
20 | pip install sqlalchemy
21 | pip install flask
22 | ```
23 | 
24 | ## 文件介绍
25 | ### 根目录
26 | 
27 | 1. zhihu.db
28 | 保存爬虫信息的 sqlite数据库文件
29 | 
30 | 2. temp.json
31 | 保存不需要存入数据库的临时信息
32 | 
33 | ### backend 
34 | 主要负责爬虫与持久化功能
35 | 
36 | 1. config.py 
37 | 所有的配置信息，都通过config.py 统一管理。 修改config.py 可以拓展程序的功能。 
38 | 
39 | 2. create_table.py
40 | 设计表结构，并通过ORM 在数据库中创建表。 
41 | 
42 | 3. dbTool.py
43 | 对数据库的操作，包装成python 函数。 
44 | 
45 | 4. zhihu.py
46 | 全部爬虫功能实现
47 | 
48 | 
49 | 
50 | ### frontend
51 | 可视化展示的文件夹
52 | 
53 | 1. templates/ 
54 | 提供了模版html, 是前端展示的入口
55 | 
56 | 2. static/
57 | 包括图片，css, js 等资源文件
58 | 
59 | 3. run.py
60 | Flask 路由的实现，包括两个功能:
61 | 
62 |     1 向前端传递json 数据
63 | 
64 |     2 向前端传递展示页面。    
65 | 
66 | 
67 | ## 数据库设计
68 | 
69 | ### 需要保存的字段
70 | 
71 | * id = Column(Integer, primary_key = True, autoincrement = True)
72 | * articleId = Column(Integer)
73 | * authorName = Column(String(length = 32)) 
74 | * authorId = Column(Integer) 
75 | * followers = Column(Integer)
76 | * createTime = Column(String)
77 | * createDate = Column(Text)
78 | * vote = Column(Integer)
79 | * content = Column(Text)
80 | 
81 | ## 使用方法
82 | 1. 修改config.py , 输入想爬的网页，对应的正则表达式。 
83 | 2. 执行create_table.py, 会生成数据库与表单。 
84 | 3. 执行zhihu.py, 会爬取对应网页，并输入到数据库。默认：zhihu.db
85 | 4. 执行run.py, 启动网页服务器，通过浏览器访问。默认： http://127.0.0.1:5000/zhihu


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/backend/config.py:
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 1 | #  所有的配置入口
 2 | 
 3 | #  入口网页, 按时间排序
 4 | # 特点，无需要登录，也可以正常访问
 5 | entry = 'https://www.zhihu.com/question/306152036/answers/updated'
 6 | useragent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.108 Safari/537.36'
 7 | 
 8 | # 页码信息获取 的regex 
 9 | # 字串符匹配方式 对应 int(pages_search.findall(raw_result)[0])
10 | # regex = r'ellipsis">...</button><button type="button" class="Button PaginationButton Button--plain">(.*?)</button>'
11 | pRegex = r'ellipsis">...</button><button type="button" class="Button PaginationButton Button--plain">(\d+)</button>'
12 | 
13 | # 题目获取的regex 
14 | tRegex = r'<title data-react-helmet="true">(.*?) - 知乎</title>'
15 | 
16 | # 题目描述的regex
17 | cRegex = r'property="og:description" content="(.*?)"/><link'
18 | 
19 | # 回答数的regex 
20 | ansRegex = r'itemProp="answerCount" content="(\d+)"/>'
21 | 
22 | # 问题的关注数regex
23 | folRegex = r'zhihu:followerCount" content="(\d+)"/>'
24 | 
25 | # 总阅读数的regex
26 | ReadRegex = r'"visitCount":(\d+),"'
27 | 
28 | # 获取具体数据的API地址
29 | answers_url = 'https://www.zhihu.com/api/v4/questions/306152036/answers?include=data%5B*%5D.is_normal%2Cadmin_closed_comment%2Creward_info%2Cis_collapsed%2Cannotation_action%2Cannotation_detail%2Ccollapse_reason%2Cis_sticky%2Ccollapsed_by%2Csuggest_edit%2Ccomment_count%2Ccan_comment%2Ccontent%2Ceditable_content%2Cvoteup_count%2Creshipment_settings%2Ccomment_permission%2Ccreated_time%2Cupdated_time%2Creview_info%2Crelevant_info%2Cquestion%2Cexcerpt%2Crelationship.is_authorized%2Cis_author%2Cvoting%2Cis_thanked%2Cis_nothelp%2Cis_labeled%2Cis_recognized%2Cpaid_info%2Cpaid_info_content%3Bdata%5B*%5D.mark_infos%5B*%5D.url%3Bdata%5B*%5D.author.follower_count%2Cbadge%5B*%5D.topics&offset=0&limit=20&sort_by=updated'
30 | 
31 | # sqlite and database name
32 | sqlPath = 'sqlite:///zhihu.db'
33 | # Table name 
34 | tableName = 'zhihu_data'
35 | # temporary file (json)
36 | jpath = "temp.json"
37 | 
38 | # 收录前x x 高赞答主
39 | topTotal = 200
40 | # 显示前x x 答主
41 | top = 5 
42 | 
43 | 
44 | 


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/frontend/run.py:
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 1 | 
 2 | from flask import Flask, render_template, jsonify
 3 | import sys,os ,json
 4 | sys.path.append(os.getcwd())
 5 | from backend.dbTool import zhihu_sqlTool
 6 | from backend import config
 7 | 
 8 | 
 9 | # 实例化flask
10 | app = Flask(__name__)
11 | 
12 | # 注册路由
13 | @app.route("/")
14 | def index():
15 |     return "Hello World"
16 | 
17 | # get the data from sqlite, and feed it to ajax
18 | @app.route("/fetch_echart_data")
19 | def fetch_echart_data():
20 |     info = {}
21 |     # 直方图 x轴为种类
22 |     # print("fetch_echart_data")
23 |     # 从temp.json 或者数据
24 |     with open(config.jpath,'r') as f:
25 |         temp = json.load(f)
26 |     # 将json中的数据传给前端
27 |     # print(temp)
28 |     info['json'] = temp
29 |     # info['topx'] = topx
30 |     # 从数据库获得数据
31 |     data = zhihu_sqlTool.query_vote()
32 |     vote_sum = zhihu_sqlTool.query_votesum()
33 |     info['vote_sum'] = vote_sum
34 | 
35 |     
36 |     # 将前n名的数据传给前端ajax
37 |     topx = zhihu_sqlTool.query_topx()
38 |     # 最前几项，显示高票答主
39 |     info['echart_2'] = {
40 |         'x_name' :[item['name'] for item in topx[:config.top]],
41 |         'data' :topx[:config.top]
42 |     }
43 | 
44 |     # 点赞数量分析,折线图
45 |     info['echart_4'] = data
46 |     # 回答随时间数据分析
47 |     answers = zhihu_sqlTool.query_byDay()
48 |     # print(answers)
49 |     info['echart_5'] = answers
50 | 
51 |     # 取答案传给前端
52 |     # answer = zhihu_sqlTool.query_byId(1)
53 |     info['answer'] = topx
54 | 
55 | 
56 |     # info['map'] = data
57 |     # print(info)
58 |     # print("this is info echart_4")
59 |     # print(info['echart_4'])
60 |     return jsonify(info)
61 | 
62 | @app.route("/zhihu",methods=['GET','POST'])
63 | def zhihu():
64 |     # result = zhihu_sqlTool.query_vote()
65 |     # return render_template('index.html',result=result)
66 |     return render_template('index.html')
67 | 
68 | if __name__ == '__main__':
69 |     # 启动flask
70 |     # import sys, os 
71 |     # sys.path.append(os.path.dirname(os.path.abspath(__file__)) + "/..")
72 |     # from backend.dbTool import zhihu_sqlTool
73 |     # import sys 
74 |     # sys.path.append("..")
75 |     app.run(debug = True)


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/backend/zhihu.py:
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  1 | import sys,os 
  2 | sys.path.append(os.getcwd())
  3 | import requests
  4 | from backend import config 
  5 | import re 
  6 | import time
  7 | import json
  8 | import multiprocessing
  9 | from backend.dbTool import zhihu_sqlTool
 10 | 
 11 | class Crawlzhihu(object):
 12 |     def __init__(self):
 13 |         super().__init__()
 14 |         # 使用session 保存cookies信息
 15 |         self.zhihu_session = requests.session()
 16 |         self.header = {
 17 |             'User-Agent':config.useragent
 18 |         }
 19 |         self.pages = 0
 20 |         self.question = ""
 21 |     # 获取当前问题回答页码数
 22 |     def get_page(self):
 23 |         # 通过Xpath 查找想要的页码
 24 |         raw_result = self.handle_request(method='GET',  url=config.entry)
 25 |         # print(raw_result)
 26 |         # 使用正则表达式拿到列表
 27 |         pages_search = re.compile(config.pRegex)
 28 |         self.pages = int(pages_search.findall(raw_result)[0])
 29 |         # print(self.pages)
 30 |         # 正则拿到题目
 31 |         title_search = re.compile(config.tRegex)
 32 |         title = title_search.findall(raw_result)[0]
 33 |         # print(title)
 34 |         # 正则拿到content
 35 |         content_search = re.compile(config.cRegex)
 36 |         content = content_search.findall(raw_result)[0]
 37 |         # 拿到回答数
 38 |         ans_search = re.compile(config.ansRegex)
 39 |         ans_c = ans_search.findall(raw_result)[0]
 40 |         # 关注人数
 41 |         fol_search = re.compile(config.folRegex)
 42 |         followers = fol_search.findall(raw_result)[0]
 43 |         # 阅读数
 44 |         read_search = re.compile(config.ReadRegex)
 45 |         read_count = read_search.findall(raw_result)[0]
 46 |         d = {
 47 |             "title": title,
 48 |             "content":content,
 49 |             "ans_c" : ans_c,
 50 |             "followers" : followers,
 51 |             "read_count":read_count
 52 |         }
 53 |         # 临时存储上述信息
 54 |         with open(config.jpath,'w') as fw:
 55 |             json.dump(d,fw)
 56 | 
 57 | 
 58 |     # 获取某一页的数据
 59 |     def get_onepage(self, page):
 60 |         newUrl = config.answers_url.replace("offset=0","offset=" + str(20*page),1)
 61 |         # print(newUrl)
 62 |         raw_result = self.handle_request(method='POST', url=newUrl)
 63 |         # print(raw_result)
 64 |         json_data = json.loads(raw_result)
 65 |         # print(json_data)
 66 | 
 67 |         answers = json_data['data']
 68 |         # print(len(answers))
 69 |         for answer in answers:
 70 |             # print(answer)
 71 |             zhihu_sqlTool.insert_item(answer)
 72 |             # time.sleep(0.03)
 73 |             # print(answer['author']['name'])
 74 |         # print(json_data)
 75 | 
 76 |     # 定义公用的请求信息
 77 |     def handle_request(self, method, url, data=None, info=None):
 78 | 
 79 |         if method == 'GET' or method == 'POST':
 80 |             response = self.zhihu_session.get(
 81 |                 url=url,
 82 |                 headers = self.header
 83 |             )
 84 |         return response.text    
 85 | 
 86 | if __name__ == "__main__":
 87 |     crawler = Crawlzhihu()
 88 |     # 获取页面数
 89 |     crawler.get_page()
 90 |     # 引入多进程，加快爬虫
 91 |     # pool = multiprocessing.Pool(3)
 92 |     # 最后一页的下标为[crawler.pages-1]
 93 |     for i in range( crawler.pages ):
 94 |     # for i in range(0, 10 ):
 95 |         # print("this is page:" + str(i))
 96 |         crawler.get_onepage(i)
 97 |         # pool.apply_async(crawler.get_onepage,args=(i,))
 98 |     # pool.close()
 99 |     # pool.join()    
100 |     # crawler.get_onepage(3)


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/backend/dbTool.py:
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  1 | 
  2 | import sys,os 
  3 | sys.path.append(os.getcwd())
  4 | from backend.create_table import zhihuTables
  5 | from backend.create_table import Session
  6 | import time
  7 | from datetime import datetime, timedelta
  8 | from collections import Counter
  9 | from backend import config
 10 | from sqlalchemy import func ,extract, update, inspect 
 11 | 
 12 | class dbTool(object):
 13 |     def __init__(self):
 14 |         self.sqlite_session = Session()
 15 | 
 16 |     def insert_item(self, item):
 17 |         # print('inset_item()')
 18 |         # print(item['created_time'])
 19 |         dateT = datetime.utcfromtimestamp(int(item['created_time']))
 20 |         # 一定要采用以下标准格式
 21 |         date = dateT.strftime('%Y-%m-%d %H:%M:%S')
 22 |         # date = datetime(dateT)
 23 |         # date = datetime(int(item['created_time']))
 24 |         # print(date)
 25 |         data = zhihuTables(
 26 |             articleId= item['id'],
 27 |             authorName = item['author']['name'],
 28 |             authorId= item['author']['url_token'],
 29 |             followers= item['author']['follower_count'],
 30 |             createTime = item['created_time'],
 31 |             createDate = date,
 32 |             vote = item['voteup_count'],
 33 |             content = item['content'] 
 34 |         )
 35 |         # 在存储数据 之前，查询一下是否有这条回答
 36 |         try:
 37 |             query_result = self.sqlite_session.query(zhihuTables.articleId, zhihuTables.vote).filter(zhihuTables.articleId == item['id']).first()
 38 |         #  
 39 |         except:
 40 |             return     
 41 |         print(query_result)
 42 |         if not query_result: 
 43 |             try:
 44 |                 self.sqlite_session.add(data)    
 45 |                 self.sqlite_session.commit()
 46 |                 print('新增文章%s'%item['author']['name'])
 47 |             except:
 48 |                 self.sqlite_session.rollback()
 49 |                 print("新增文章，插入数据库失败") 
 50 |                 raise          
 51 |         elif query_result[1] != item['voteup_count'] :
 52 |             try:
 53 |                 # self.sqlite_session.query().filter(zhihuTables.articleId == item['id']).update({
 54 |                 #     'vote' : item['voteup_count']
 55 |                 # })
 56 |                 update(zhihuTables).where(zhihuTables.articleId == item['id']).values(vote=item['voteup_count'])
 57 |                 self.sqlite_session.commit()
 58 |                 print("该答案点赞数增加了")
 59 |             except:
 60 |                 self.sqlite_session.rollback()
 61 |                 print("更新点赞，插入数据库失败") 
 62 |                 raise                     
 63 |         else:    
 64 |             print("该答案己存在%s:%s"%(item['id'], item['author']['name']))
 65 | 
 66 |  
 67 |             
 68 | 
 69 |     def query_vote(self):
 70 |         info = {}
 71 |         # 查询所有的点赞信息
 72 |         # 降序排列.desc()
 73 |         result = self.sqlite_session.query(zhihuTables.vote).order_by(zhihuTables.vote).all()
 74 |         # print(result)
 75 |         result_list = [x[0] for x in result]
 76 |         # print(result_list)
 77 |         counter_list = [x for x in Counter(result_list).items()]
 78 |         # 填充入serise 中的data 
 79 |         # 生成字典
 80 |         data = [{"name":x[0], "value":x[1]} for x in counter_list ]
 81 |         name_list = [item['name'] for item in data]
 82 |         info['x_name'] = name_list
 83 |         info['data'] = data  
 84 |         # print(info)
 85 |         return info
 86 | 
 87 |     # 查询排名前config.topTotal 的答案
 88 |     # 返回原始数据，在run.py中包装，减少数据量
 89 |     def query_topx(self):
 90 |         info = {}
 91 |         result = self.sqlite_session.query(zhihuTables.authorName ,zhihuTables.vote, zhihuTables.content).order_by(zhihuTables.vote.desc()).limit(config.topTotal).all()
 92 |         data = [{"name":x[0], "value":x[1],"content":x[2]} for x in result ]
 93 |         # name_list = [item['name'] for item in data]
 94 |         # info['x_name'] = name_list
 95 |         # info['data'] = data  
 96 |         # print(info)
 97 |         return data
 98 | 
 99 |     def query_byDay(self):
100 |         info = {}
101 |         # data_format 不适用于Sqlite
102 | 
103 |         # 通过query 检查生效情况
104 |         # result = self.sqlite_session.query( func.hour(zhihuTables.createTime)).all() # 无hour() 函数
105 |         # result = self.sqlite_session.query( extract('hour', zhihuTables.createTime)).limit(20).all() # 全是None
106 |         # result = self.sqlite_session.query(func.strftime('%Y %m %d', zhihuTables.createDate)).limit(20).all() # 成功
107 |         # 完整语句
108 |         result= self.sqlite_session.query(func.strftime( '%Y-%m-%d',zhihuTables.createDate).label('day'), func.count('*').label('count')).group_by('day').all()
109 |         data = [{"name":x[0], "value":x[1]} for x in result ]
110 |         name_list = [item['name'] for item in data]
111 |         info['x_name'] = name_list
112 |         info['data'] = data  
113 |         # print(info)
114 |         return info
115 | 
116 |     # 计算总赞数
117 |     def query_votesum(self): 
118 |         result = self.sqlite_session.query(func.sum(zhihuTables.vote)).first()
119 |         # print(result)
120 |         return result[0]
121 | 
122 |     def query_byId(self, id):
123 |         result = self.sqlite_session.query(zhihuTables.authorName, zhihuTables.vote, zhihuTables.content).filter(zhihuTables.id == id).first()
124 |         return result 
125 | 
126 |     def query_byTop(self, i):
127 |         subquery = self.sqlite_session.query(
128 |             zhihuTables.authorName,
129 |             func.rank().over(
130 |                 order_by = zhihuTables.vote.desc()
131 |             ).label('rnk')
132 |         ).subquery()
133 |         result = self.sqlite_session.query(subquery).filter(
134 |             subquery.c.rnk == 1
135 |         )
136 | 
137 |         # result = self.sqlite_session.query(zhihuTables.authorName, zhihuTables.vote, zhihuTables.content).func.rank(i).over(order_by='vote')
138 |         # print(result)
139 |         return result         
140 | 
141 | 
142 | zhihu_sqlTool = dbTool() 
143 | # zhihu_sqlTool.query_byDay()
144 | # zhihu_sqlTool.query_topx()
145 | # zhihu_sqlTool.query_vote()
146 | # print(zhihu_sqlTool.query_byId(1))
147 | # zhihu_sqlTool.query_votesum()
148 | # zhihu_sqlTool.query_byTop(1)
149 | 


--------------------------------------------------------------------------------
/frontend/templates/index.html:
--------------------------------------------------------------------------------
  1 | <!doctype html>
  2 | <html>
  3 | <head>
  4 |     <meta charset="utf-8">
  5 |     <title>知乎回答可视化分析报告</title>
  6 |     <script type="text/javascript" src="../static/js/jquery.js"></script>
  7 |     <link rel="stylesheet" href="../static/css/comon0.css">
  8 | </head>
  9 | <script>
 10 |     $(window).load(function () {
 11 |         $(".loading").fadeOut()
 12 |     });
 13 | 
 14 |     $(document).ready(function () {
 15 |         var whei = $(window).width();
 16 |         $("html").css({fontSize: whei / 20});
 17 |         $(window).resize(function () {
 18 |             var whei = $(window).width();
 19 |             $("html").css({fontSize: whei / 20})
 20 |         });
 21 |     });
 22 | </script>
 23 | <script type="text/javascript" src="../static/js/echarts.min.js"></script>
 24 | <script type="text/javascript" src="../static/js/js.js"></script>
 25 | <script type="text/javascript" src="../static/js/china.js"></script>
 26 | <body>
 27 | <div class="canvas" style="opacity: .2">
 28 |     <iframe frameborder="0" src="../static/js/index.html" style="width: 100%; height: 100%"></iframe>
 29 | </div>
 30 | <div class="loading">
 31 |     <div class="loadbox"><img src="../static/picture/loading.gif"> 页面加载中...</div>
 32 | </div>
 33 | <div class="head">
 34 |     <h1>知乎单题回答分析</h1>
 35 |     <div class="timeArea"><span id="showTime"></span></div>
 36 | 
 37 |     <script>
 38 |         var t = null;
 39 |         t = setTimeout(time, 1000);//開始运行
 40 |         function time() {
 41 |             clearTimeout(t);//清除定时器
 42 |             dt = new Date();
 43 |             var y = dt.getFullYear();
 44 |             var mt = dt.getMonth() + 1;
 45 |             var day = dt.getDate();
 46 |             var h = dt.getHours();//获取时
 47 |             var m = dt.getMinutes();//获取分
 48 |             var s = dt.getSeconds();//获取秒
 49 |             document.getElementById("showTime").innerHTML = y + "年" + mt + "月" + day + "日-" + h + "时" + m + "分" + s + "秒";
 50 |             t = setTimeout(time, 1000); //设定定时器，循环运行
 51 |         }
 52 |     </script>
 53 | 
 54 | 
 55 | </div>
 56 | <div class="mainbox">
 57 |     <ul class="clearfix">
 58 |         <li>
 59 |             <div class="boxall" style="height: 1.6rem">
 60 |                 <div class="alltitle">题目信息</div>
 61 |                 <div class="allnav" >
 62 |                     <div class= 'title' style="color:#27d08a;"></div>
 63 |                 </div>
 64 |                 <div class="boxfoot"></div>
 65 |             </div>
 66 |             <div class="boxall" style="height: 1.6rem">
 67 |                 <div class="alltitle">详情</div>
 68 |                 <div class="allnav" >
 69 |                     <div class="content" style="color:#27d08a;"></div>
 70 |                 </div>
 71 |                 <div class="boxfoot"></div>
 72 |             </div>
 73 |             <div class="boxall" style="height: 3.2rem">
 74 |                 <div class="alltitle">TopX高赞答主</div>
 75 |                 <div class="allnav" id="echart2"></div>
 76 |                 <div class="boxfoot"></div>
 77 |             </div>
 78 |             <!-- 暂时空缺 -->
 79 |             <!-- <div class="boxall" style="height: 3.2rem">
 80 |                 <div style="height:100%; width: 100%;">
 81 |                     <div class="sy" id="fb1"></div>
 82 |                     <div class="sy" id="fb2"></div>
 83 |                     <div class="sy" id="fb3"></div>
 84 |                 </div>
 85 |                 <div class="boxfoot">
 86 | 
 87 |                 </div>
 88 |             </div> -->
 89 |         </li>
 90 |         <li>
 91 |             <div class="bar">
 92 |                 <div class="barbox">
 93 |                     <ul class="clearfix">
 94 |                         <li class="pulll_left counter"></li>
 95 |                         <li class="pulll_right counter"></li>
 96 |                     </ul>
 97 |                 </div>
 98 |                 <div class="barbox2">
 99 |                     <ul class="clearfix">
100 |                         <li class="pulll_left">回答数</li>
101 |                         <li class="pulll_right">关注数</li>
102 |                     </ul>
103 |                 </div>
104 |             </div>
105 |             <div class="bar">
106 |                 <div class="barbox">
107 |                     <ul class="clearfix">
108 |                         <li class="pulll_left vote"></li>
109 |                         <li class="pulll_right read"></li>
110 |                     </ul>
111 |                 </div>
112 |                 <div class="barbox2">
113 |                     <ul class="clearfix">
114 |                         <li class="pulll_left">点赞总数</li>
115 |                         <li class="pulll_right">阅读总数</li>
116 |                     </ul>
117 |                 </div>
118 |             </div>
119 |             <div class="boxall" style="height: 6rem;">
120 |                 <div class="alltitle" >
121 |                     作者：<span id = "author" style="color: #ffeb7b;"></span> 
122 |                     点赞数：<span id = 'vote' style="color:#ffeb7b;"></span>
123 |                     排名：<span id='rank' style="color:#ffeb7b;"></span>
124 |                 </div>
125 |                 <div class="allnav" id="content" style="color: whitesmoke; overflow: auto;"></div>
126 |             </div>
127 | 
128 | 
129 |             <div style="text-align: center; color: white;">
130 | 
131 |                 <button class="pulll_left" id='previous' style="background: transparent; color: white; border: 0ch;">上一页</button>
132 |     
133 |                 输入排名<input id='inputRank' style="background: transparent; color: #ffeb7b; width: 5em; text-align: center;" type="text">
134 |                 
135 |                 <button class="pulll_right" id='next'  style="background: transparent; color: white;border: 0ch; ">下一页</button>
136 |             </div>
137 | 
138 | 
139 | 
140 | 
141 | 
142 |             <!-- <div class="map"> -->
143 |                 <!-- <div class="map1"><img src="../static/picture/lbx.png"></div> -->
144 |                 <!-- <div class="map2"><img src="../static/picture/jt.png"></div> -->
145 |                 <!-- <div class="map3"><img src="../static/picture/map.png"></div> -->
146 |                 <!-- <div class="map4" id="map_1"></div> -->
147 |             <!-- </div> -->
148 |         </li>
149 |         <li>
150 |             <div class="boxall" style="height:3.4rem">
151 |                 <div class="alltitle">点赞分布情况</div>
152 |                 <div class="allnav" id="echart4"></div>
153 |                 <div class="boxfoot"></div>
154 |             </div>
155 |             <div class="boxall" style="height: 3.2rem">
156 |                 <div class="alltitle">回答随时间分布情况</div>
157 |                 <div class="allnav" id="echart5"></div>
158 |                 <div class="boxfoot"></div>
159 |             </div>
160 |             <!-- 暂时空缺 -->
161 |             <!-- <div class="boxall" style="height: 3rem">
162 |                 <div class="alltitle">其他情况</div>
163 |                 <div class="allnav" id="echart6"></div>
164 |                 <div class="boxfoot"></div>
165 |             </div> -->
166 |         </li>
167 |     </ul>
168 | </div>
169 | <div class="back"></div>
170 | 
171 | 
172 | <!--<script type="text/javascript" src="../static/js/area_echarts.js"></script>-->
173 | </body>
174 | </html>
175 | 


--------------------------------------------------------------------------------
/frontend/static/css/comon0.css:
--------------------------------------------------------------------------------
  1 | @charset "utf-8";
  2 | /* CSS Document */
  3 | *{
  4 | 	-webkit-box-sizing: border-box;
  5 | 	-moz-box-sizing: border-box;
  6 | 	box-sizing: border-box}
  7 | *,body{padding:0px;	margin:0px;font-family: "微软雅黑";}
  8 | @font-face{font-family:electronicFont;src:url(../font/DS-DIGIT.TTF)}
  9 | body{ background:#000d4a url(../images/bg.jpg) center top; background-size:cover;color:#666;font-size: .15rem;}
 10 | li{ list-style-type:none;}
 11 | table{}
 12 | i{ margin:0px; padding:0px; text-indent:0px;}
 13 | img{ border:none; max-width: 100%;}
 14 | a{ text-decoration:none; color:#399bff;}
 15 | a.active,a:focus{ outline:none!important; text-decoration:none;}
 16 | ol,ul,p,h1,h2,h3,h4,h5,h6{ padding:0; margin:0}
 17 | a:hover{ color:#06c; text-decoration: none!important}
 18 | 
 19 | 
 20 | .clearfix:after, .clearfix:before {
 21 | 	display: table;
 22 | 	content: " "
 23 | }
 24 |  .clearfix:after {
 25 | 	clear: both
 26 | }
 27 | .pulll_left{float:left;}
 28 | .pulll_right{float:right;}
 29 | /*谷哥滚动条样式*/
 30 | 
 31 |   ::-webkit-scrollbar {width:1px;height:5px;position:absolute}
 32 |   ::-webkit-scrollbar-thumb {background-color:#5bc0de}
 33 |   ::-webkit-scrollbar-track {background-color:#ddd}
 34 | 
 35 | /***/
 36 | .canvas{position: absolute; width:100%; left: 0; top: 0; height: 99%; z-index: -1;}
 37 | 
 38 | .allnav{height: calc(100% - 30px);}
 39 | .loading{position:fixed; left:0; top:0; font-size:18px; z-index:1;width:100%; height:100%; background:#1a1a1c; text-align:center;}
 40 | .loadbox{position:absolute; width:160px;height:150px; color: #aaa; left:50%; top:50%; margin-top:-100px; margin-left:-75px;}
 41 | .loadbox img{ margin:10px auto; display:block; width:40px;}
 42 | 
 43 | .copyright{ background:rgba(19,31,64,.32); border: 1px solid rgba(255,255,255,.05); line-height:.5rem; text-align: center; padding-right: 15px; bottom: 0; color:rgba(255,255,255,.7); font-size: .16rem; }
 44 | 
 45 | .head{ height:1.05rem; background: url(../images/head_bg.png) no-repeat center center; background-size: 100% 100%; position: relative; z-index: 100;}
 46 | .head h1{ color:#fff; text-align: center; font-size: .4rem; line-height:.8rem;}
 47 | .head h1 img{ width:1.5rem; display: inline-block; vertical-align: middle; margin-right: .2rem}
 48 | .timeArea { position:absolute; right:.3rem; top:0; line-height: .75rem;}
 49 | .timeArea img{ width:.37rem; display: inline-block; vertical-align: middle;}
 50 | .timeArea span{color:rgba(255,255,255,.7); font-size: .18rem; padding-right: .1rem;}
 51 | .mainbox{ padding:.1rem .1rem 0rem .1rem;}
 52 | .mainbox>ul{}
 53 | .mainbox>ul>li{ float: left; padding: 0 .1rem}
 54 | 
 55 | .mainbox>ul>li{ width: 30%}
 56 | .mainbox>ul>li:nth-child(2){ width: 40%;padding: 0}
 57 | 
 58 | .boxall{ border: 1px solid rgba(25,186,139,.17); padding:0 .2rem .4rem .15rem;  background: rgba(255,255,255,.04) url(../images/line.png); background-size: 100% auto; position: relative; margin-bottom: .15rem; z-index: 10;}
 59 | .boxall:before,
 60 | .boxall:after{ position:absolute; width: .1rem; height: .1rem; content: "";  border-top: 2px solid #02a6b5; top: 0;}
 61 | .boxall:before,.boxfoot:before{border-left: 2px solid #02a6b5;left: 0;}
 62 | .boxall:after,.boxfoot:after{border-right: 2px solid #02a6b5; right: 0;}
 63 | .alltitle{ font-size:.2rem; color:#fff; text-align: center; line-height: .5rem;}
 64 | 
 65 | .boxfoot{ position:absolute; bottom: 0; width: 100%; left: 0;}
 66 | .boxfoot:before,
 67 | .boxfoot:after{ position:absolute; width: .1rem; height: .1rem;  content: "";border-bottom: 2px solid #02a6b5; bottom: 0;}
 68 | 
 69 | .bar{background:rgba(101,132,226,.1); padding: .15rem;}
 70 | .barbox li,.barbox2 li{ width:50%; text-align: center; position: relative; z-index: 100;}
 71 | .barbox:before,
 72 | .barbox:after{ position:absolute; width: .3rem; height: .1rem; content: ""; }
 73 | .barbox:before{border-left: 2px solid #02a6b5;left: 0;border-top: 2px solid #02a6b5; }
 74 | .barbox:after{border-right: 2px solid #02a6b5; right: 0; bottom: 0;border-bottom: 2px solid #02a6b5; }
 75 | 
 76 | .barbox li:first-child:before{ position:absolute; content: ""; height:50%; width: 1px; background: rgba(255,255,255,.2); right: 0; top: 25%;}
 77 | 
 78 | .barbox{  border: 1px solid rgba(25,186,139,.17); position: relative;}
 79 | .barbox li{ font-size: .7rem; color: #ffeb7b; padding: .05rem 0;  font-family:electronicFont; font-weight: bold;}
 80 | .barbox2 li{ font-size: .19rem; color:rgba(255,255,255,.7); padding-top: .1rem;}
 81 | 
 82 | .map{  position:relative; height: 7.2rem; z-index: 9;}
 83 | .map4{ width: 200%; height:7rem;  position: relative; left: -50%; top: 4%; margin-top: .2rem; z-index: 5;}
 84 | .map1,.map2,.map3{ position:absolute; opacity: .5}
 85 | .map1{ width:6.43rem; z-index: 2;top:.45rem; left: .7rem;  animation: myfirst2 15s infinite linear;}
 86 | .map2{ width:5.66rem; top:.85rem; left:1.2rem; z-index: 3; opacity: 0.2; animation: myfirst 10s infinite linear;}
 87 | .map3{ width:5.18rem; top:1.07rem; left: 1.4rem; z-index: 1;}
 88 | 
 89 | 
 90 | 
 91 | 
 92 | 
 93 | .tabs { text-align: center; padding: .1rem 0 0 0;}
 94 | .tabs a {
 95 |     position: relative;
 96 |     display: inline-block;
 97 |     margin-left: 1px;
 98 |     padding:.05rem .2rem;
 99 |     color: #898989;
100 |     transition: all .3s ease-out 0s;
101 |     font-size: 14px;
102 | }
103 | .tabs li{ display:inline-block;}
104 | .tabs a:after {
105 |     position: absolute;
106 |     width: 1px;
107 |     height: 10px;
108 |     background-color: rgba(255,255,255,.1);
109 |     content: '';
110 | 	 margin-left:0; right:-1px;    margin-top: 7px;
111 | 	
112 | 	
113 | }
114 | .tabs li a.active {border: 1px solid rgba(25,186,139,.17); background: rgba(255,255,255,.05); color:#fff;}
115 | 
116 | .tit02{ text-align:center; margin: .1rem 0; position: relative}
117 | .tit02 span{border: 1px solid rgba(25,186,139,.17); letter-spacing: 2px; padding: .01rem .2rem; background: rgba(255,255,255,.05);  font-size: .18rem;  color: #49bcf7;}
118 | .tit02:before,.tit02:after{ position:absolute; width:26%; height: 1px;background: rgba(25,186,139,.2);  content: ""; top: .12rem;}
119 | .tit02:after{ right:0;}
120 | .tit02:before{ left:0;}
121 | 
122 | .wrap{ height:2.54rem; overflow: hidden;}
123 | .wrap li{  line-height:.42rem; height:.42rem; font-size: .18rem; text-indent: .24rem; margin-bottom: .1rem; }
124 | .wrap li p{border: 1px solid rgba(25,186,139,.17);color: rgba(255,255,255,.6); }
125 | .sy{ float:left; width: 33%; height:95%; margin-top: .25rem;}
126 | 
127 | 
128 | .adduser{ height:1.5rem; overflow: hidden;}
129 | .adduser li{height:.5rem;}
130 | .adduser img{ width: .40rem; border-radius: .5rem; margin-right: .1rem; display: inline-block; vertical-align: middle;}
131 | .adduser span{  line-height:.5rem; font-size: .18rem;color: rgba(255,255,255,.6); }
132 | 
133 | .sycm ul{ margin-left:-.5rem;margin-right:-.5rem;  padding: .16rem 0;}
134 | .sycm li{ float: left; width: 33.33%; text-align: center; position: relative}
135 | .sycm li:before{ position:absolute; content: ""; height:30%; width: 1px; background: rgba(255,255,255,.1); right: 0; top: 15%;}
136 | .sycm li:last-child:before{ width: 0;}
137 | 
138 | .sycm li h2{ font-size:.3rem; color: #c5ccff;}
139 | .sycm li span{ font-size:.18rem; color: #fff; opacity: .5;}
140 | 
141 | @keyframes myfirst2
142 | {
143 | from {transform: rotate(0deg);}
144 | to {transform: rotate(359deg);}
145 | }
146 | 
147 | @keyframes myfirst
148 | {
149 | from {transform: rotate(0deg);}
150 | to {transform: rotate(-359deg);}
151 | }
152 | 
153 | 
154 | /*Plugin CSS*/
155 | .str_wrap {
156 | 	overflow:hidden;
157 | 	width:100%;
158 | 	position:relative;
159 | 	-moz-user-select: none;
160 | 	-khtml-user-select: none;
161 | 	user-select: none;  
162 | 	white-space:nowrap;
163 | }
164 | 
165 | 
166 | .str_move { 
167 | 	white-space:nowrap;
168 | 	position:absolute; 
169 | 	top:0; 
170 | 	left:0;
171 | 	/* cursor:move; */
172 | }
173 | .str_move_clone {
174 | 	display:inline-block;
175 | 	vertical-align:top;
176 | 	position:absolute; 
177 | 	left:100%;
178 | 	top:0;
179 | }
180 | .str_vertical .str_move_clone {
181 | 	left:0;
182 | 	top:100%;
183 | }
184 | .str_down .str_move_clone {
185 | 	left:0;
186 | 	bottom:100%;
187 | }
188 | .str_vertical .str_move,
189 | .str_down .str_move {
190 | 	white-space:normal;
191 | 	width:100%;
192 | }
193 | .str_static .str_move,
194 | .no_drag .str_move,
195 | .noStop .str_move{
196 | 	/* cursor:inherit; */
197 | }
198 | .str_wrap img {
199 | 	max-width:none !important;	
200 | }
201 | 


--------------------------------------------------------------------------------
/frontend/static/js/index.html:
--------------------------------------------------------------------------------
  1 | <html><head>
  2 | <meta charset="utf-8">
  3 | <title>背景动画</title>
  4 | <style>
  5 | html {
  6 |   height: 100%;
  7 |   background-image: -webkit-radial-gradient(ellipse farthest-corner at center center, #1b44e4 0%, #020f3a 100%);
  8 |   background-image: radial-gradient(ellipse farthest-corner at center center, #1b44e4 0%, #020f3a 100%);
  9 |   /* cursor: move; */
 10 | }
 11 | 
 12 | body {
 13 |   width: 100%;
 14 |   margin: 0;
 15 |   overflow: hidden;
 16 | }
 17 | </style>
 18 | </head>
 19 | 
 20 | <body>
 21 | 
 22 | 
 23 | <canvas id="canv" width="1920" height="572"></canvas>
 24 | <script>
 25 | var num = 200;
 26 | var w = window.innerWidth;
 27 | var h = window.innerHeight;
 28 | var max = 100;
 29 | var _x = 0;
 30 | var _y = 0;
 31 | var _z = 150;
 32 | var dtr = function(d) {
 33 |   return d * Math.PI / 180;
 34 | };
 35 | 
 36 | var rnd = function() {
 37 |   return Math.sin(Math.floor(Math.random() * 360) * Math.PI / 180);
 38 | };
 39 | var dist = function(p1, p2, p3) {
 40 |   return Math.sqrt(Math.pow(p2.x - p1.x, 2) + Math.pow(p2.y - p1.y, 2) + Math.pow(p2.z - p1.z, 2));
 41 | };
 42 | 
 43 | var cam = {
 44 |   obj: {
 45 |     x: _x,
 46 |     y: _y,
 47 |     z: _z
 48 |   },
 49 |   dest: {
 50 |     x: 0,
 51 |     y: 0,
 52 |     z: 1
 53 |   },
 54 |   dist: {
 55 |     x: 0,
 56 |     y: 0,
 57 |     z: 200
 58 |   },
 59 |   ang: {
 60 |     cplane: 0,
 61 |     splane: 0,
 62 |     ctheta: 0,
 63 |     stheta: 0
 64 |   },
 65 |   zoom: 1,
 66 |   disp: {
 67 |     x: w / 2,
 68 |     y: h / 2,
 69 |     z: 0
 70 |   },
 71 |   upd: function() {
 72 |     cam.dist.x = cam.dest.x - cam.obj.x;
 73 |     cam.dist.y = cam.dest.y - cam.obj.y;
 74 |     cam.dist.z = cam.dest.z - cam.obj.z;
 75 |     cam.ang.cplane = -cam.dist.z / Math.sqrt(cam.dist.x * cam.dist.x + cam.dist.z * cam.dist.z);
 76 |     cam.ang.splane = cam.dist.x / Math.sqrt(cam.dist.x * cam.dist.x + cam.dist.z * cam.dist.z);
 77 |     cam.ang.ctheta = Math.sqrt(cam.dist.x * cam.dist.x + cam.dist.z * cam.dist.z) / Math.sqrt(cam.dist.x * cam.dist.x + cam.dist.y * cam.dist.y + cam.dist.z * cam.dist.z);
 78 |     cam.ang.stheta = -cam.dist.y / Math.sqrt(cam.dist.x * cam.dist.x + cam.dist.y * cam.dist.y + cam.dist.z * cam.dist.z);
 79 |   }
 80 | };
 81 | 
 82 | var trans = {
 83 |   parts: {
 84 |     sz: function(p, sz) {
 85 |       return {
 86 |         x: p.x * sz.x,
 87 |         y: p.y * sz.y,
 88 |         z: p.z * sz.z
 89 |       };
 90 |     },
 91 |     rot: {
 92 |       x: function(p, rot) {
 93 |         return {
 94 |           x: p.x,
 95 |           y: p.y * Math.cos(dtr(rot.x)) - p.z * Math.sin(dtr(rot.x)),
 96 |           z: p.y * Math.sin(dtr(rot.x)) + p.z * Math.cos(dtr(rot.x))
 97 |         };
 98 |       },
 99 |       y: function(p, rot) {
100 |         return {
101 |           x: p.x * Math.cos(dtr(rot.y)) + p.z * Math.sin(dtr(rot.y)),
102 |           y: p.y,
103 |           z: -p.x * Math.sin(dtr(rot.y)) + p.z * Math.cos(dtr(rot.y))
104 |         };
105 |       },
106 |       z: function(p, rot) {
107 |         return {
108 |           x: p.x * Math.cos(dtr(rot.z)) - p.y * Math.sin(dtr(rot.z)),
109 |           y: p.x * Math.sin(dtr(rot.z)) + p.y * Math.cos(dtr(rot.z)),
110 |           z: p.z
111 |         };
112 |       }
113 |     },
114 |     pos: function(p, pos) {
115 |       return {
116 |         x: p.x + pos.x,
117 |         y: p.y + pos.y,
118 |         z: p.z + pos.z
119 |       };
120 |     }
121 |   },
122 |   pov: {
123 |     plane: function(p) {
124 |       return {
125 |         x: p.x * cam.ang.cplane + p.z * cam.ang.splane,
126 |         y: p.y,
127 |         z: p.x * -cam.ang.splane + p.z * cam.ang.cplane
128 |       };
129 |     },
130 |     theta: function(p) {
131 |       return {
132 |         x: p.x,
133 |         y: p.y * cam.ang.ctheta - p.z * cam.ang.stheta,
134 |         z: p.y * cam.ang.stheta + p.z * cam.ang.ctheta
135 |       };
136 |     },
137 |     set: function(p) {
138 |       return {
139 |         x: p.x - cam.obj.x,
140 |         y: p.y - cam.obj.y,
141 |         z: p.z - cam.obj.z
142 |       };
143 |     }
144 |   },
145 |   persp: function(p) {
146 |     return {
147 |       x: p.x * cam.dist.z / p.z * cam.zoom,
148 |       y: p.y * cam.dist.z / p.z * cam.zoom,
149 |       z: p.z * cam.zoom,
150 |       p: cam.dist.z / p.z
151 |     };
152 |   },
153 |   disp: function(p, disp) {
154 |     return {
155 |       x: p.x + disp.x,
156 |       y: -p.y + disp.y,
157 |       z: p.z + disp.z,
158 |       p: p.p
159 |     };
160 |   },
161 |   steps: function(_obj_, sz, rot, pos, disp) {
162 |     var _args = trans.parts.sz(_obj_, sz);
163 |     _args = trans.parts.rot.x(_args, rot);
164 |     _args = trans.parts.rot.y(_args, rot);
165 |     _args = trans.parts.rot.z(_args, rot);
166 |     _args = trans.parts.pos(_args, pos);
167 |     _args = trans.pov.plane(_args);
168 |     _args = trans.pov.theta(_args);
169 |     _args = trans.pov.set(_args);
170 |     _args = trans.persp(_args);
171 |     _args = trans.disp(_args, disp);
172 |     return _args;
173 |   }
174 | };
175 | 
176 | (function() {
177 |   "use strict";
178 |   var threeD = function(param) {
179 |     this.transIn = {};
180 |     this.transOut = {};
181 |     this.transIn.vtx = (param.vtx);
182 |     this.transIn.sz = (param.sz);
183 |     this.transIn.rot = (param.rot);
184 |     this.transIn.pos = (param.pos);
185 |   };
186 | 
187 |   threeD.prototype.vupd = function() {
188 |     this.transOut = trans.steps(
189 | 
190 |       this.transIn.vtx,
191 |       this.transIn.sz,
192 |       this.transIn.rot,
193 |       this.transIn.pos,
194 |       cam.disp
195 |     );
196 |   };
197 | 
198 |   var Build = function() {
199 |     this.vel = 0.04;
200 |     this.lim = 360;
201 |     this.diff = 200;
202 |     this.initPos = 100;
203 |     this.toX = _x;
204 |     this.toY = _y;
205 |     this.go();
206 |   };
207 | 
208 |   Build.prototype.go = function() {
209 |     this.canvas = document.getElementById("canv");
210 |     this.canvas.width = window.innerWidth;
211 |     this.canvas.height = window.innerHeight;
212 |     this.$ = canv.getContext("2d");
213 |     this.$.globalCompositeOperation = 'source-over';
214 |     this.varr = [];
215 |     this.dist = [];
216 |     this.calc = [];
217 | 
218 |     for (var i = 0, len = num; i < len; i++) {
219 |       this.add();
220 |     }
221 | 
222 |     this.rotObj = {
223 |       x: 0,
224 |       y: 0,
225 |       z: 0
226 |     };
227 |     this.objSz = {
228 |       x: w / 5,
229 |       y: h / 5,
230 |       z: w / 5
231 |     };
232 |   };
233 | 
234 |   Build.prototype.add = function() {
235 |     this.varr.push(new threeD({
236 |       vtx: {
237 |         x: rnd(),
238 |         y: rnd(),
239 |         z: rnd()
240 |       },
241 |       sz: {
242 |         x: 0,
243 |         y: 0,
244 |         z: 0
245 |       },
246 |       rot: {
247 |         x: 20,
248 |         y: -20,
249 |         z: 0
250 |       },
251 |       pos: {
252 |         x: this.diff * Math.sin(360 * Math.random() * Math.PI / 180),
253 |         y: this.diff * Math.sin(360 * Math.random() * Math.PI / 180),
254 |         z: this.diff * Math.sin(360 * Math.random() * Math.PI / 180)
255 |       }
256 |     }));
257 |     this.calc.push({
258 |       x: 360 * Math.random(),
259 |       y: 360 * Math.random(),
260 |       z: 360 * Math.random()
261 |     });
262 |   };
263 | 
264 |   Build.prototype.upd = function() {
265 |     cam.obj.x += (this.toX - cam.obj.x) * 0.05;
266 |     cam.obj.y += (this.toY - cam.obj.y) * 0.05;
267 |   };
268 | 
269 |   Build.prototype.draw = function() {
270 |     this.$.clearRect(0, 0, this.canvas.width, this.canvas.height);
271 |     cam.upd();
272 |     this.rotObj.x += 0.1;
273 |     this.rotObj.y += 0.1;
274 |     this.rotObj.z += 0.1;
275 | 
276 |     for (var i = 0; i < this.varr.length; i++) {
277 |       for (var val in this.calc[i]) {
278 |         if (this.calc[i].hasOwnProperty(val)) {
279 |           this.calc[i][val] += this.vel;
280 |           if (this.calc[i][val] > this.lim) this.calc[i][val] = 0;
281 |         }
282 |       }
283 | 
284 |       this.varr[i].transIn.pos = {
285 |         x: this.diff * Math.cos(this.calc[i].x * Math.PI / 180),
286 |         y: this.diff * Math.sin(this.calc[i].y * Math.PI / 180),
287 |         z: this.diff * Math.sin(this.calc[i].z * Math.PI / 180)
288 |       };
289 |       this.varr[i].transIn.rot = this.rotObj;
290 |       this.varr[i].transIn.sz = this.objSz;
291 |       this.varr[i].vupd();
292 |       if (this.varr[i].transOut.p < 0) continue;
293 |       var g = this.$.createRadialGradient(this.varr[i].transOut.x, this.varr[i].transOut.y, this.varr[i].transOut.p, this.varr[i].transOut.x, this.varr[i].transOut.y, this.varr[i].transOut.p * 2);
294 |       this.$.globalCompositeOperation = 'lighter';
295 |       g.addColorStop(0, 'hsla(255, 255%, 255%, 1)');
296 |       g.addColorStop(.5, 'hsla(' + (i + 2) + ',85%, 40%,1)');
297 |       g.addColorStop(1, 'hsla(' + (i) + ',85%, 40%,.5)');
298 |       this.$.fillStyle = g;
299 |       this.$.beginPath();
300 |       this.$.arc(this.varr[i].transOut.x, this.varr[i].transOut.y, this.varr[i].transOut.p * 2, 0, Math.PI * 2, false);
301 |       this.$.fill();
302 |       this.$.closePath();
303 |     }
304 |   };
305 |   Build.prototype.anim = function() {
306 |     window.requestAnimationFrame = (function() {
307 |       return window.requestAnimationFrame ||
308 |         function(callback, element) {
309 |           window.setTimeout(callback, 1000 / 60);
310 |         };
311 |     })();
312 |     var anim = function() {
313 |       this.upd();
314 |       this.draw();
315 |       window.requestAnimationFrame(anim);
316 | 
317 |     }.bind(this);
318 |     window.requestAnimationFrame(anim);
319 |   };
320 | 
321 |   Build.prototype.run = function() {
322 |     this.anim();
323 | 
324 |     window.addEventListener('mousemove', function(e) {
325 |       this.toX = (e.clientX - this.canvas.width / 2) * -0.8;
326 |       this.toY = (e.clientY - this.canvas.height / 2) * 0.8;
327 |     }.bind(this));
328 |     window.addEventListener('touchmove', function(e) {
329 |       e.preventDefault();
330 |       this.toX = (e.touches[0].clientX - this.canvas.width / 2) * -0.8;
331 |       this.toY = (e.touches[0].clientY - this.canvas.height / 2) * 0.8;
332 |     }.bind(this));
333 |     window.addEventListener('mousedown', function(e) {
334 |       for (var i = 0; i < 100; i++) {
335 |         this.add();
336 |       }
337 |     }.bind(this));
338 |     window.addEventListener('touchstart', function(e) {
339 |       e.preventDefault();
340 |       for (var i = 0; i < 100; i++) {
341 |         this.add();
342 |       }
343 |     }.bind(this));
344 |   };
345 |   var app = new Build();
346 |   app.run();
347 | })();
348 | 
349 | // window.addEventListener('resize', function() {
350 | //   canvas.width = w = window.innerWidth;
351 | //   canvas.height = h = window.innerHeight;
352 | // }, false);
353 | </script>
354 | </body></html>


--------------------------------------------------------------------------------
/frontend/static/js/js.js:
--------------------------------------------------------------------------------
   1 | $(function () {
   2 |     // 于是保存显示答案的显示
   3 |     var answer 
   4 |     var i = 0
   5 |     $.ajax({
   6 |         type: 'get',
   7 |         url: '/fetch_echart_data',
   8 |         dataType: 'json',
   9 |         success: function (returnData) {
  10 |             // console.log(returnData['data']);
  11 |             // 填充统计数据
  12 |             filler(returnData['json'], returnData['vote_sum'])
  13 |             // 显示前七名高票答主
  14 |             echarts_2(returnData['echart_2']);
  15 |             // 点赞数据分析，折线图
  16 |             echarts_4(returnData['echart_4']);
  17 |             // 回答随时间数据分析
  18 |             echarts_5(returnData['echart_5']);
  19 |             // 将回答保存下来，以便按扭调用
  20 |             answer = returnData['answer']
  21 |             display( );
  22 |             // echarts_6(returnData);
  23 |             // echarts_31(returnData);
  24 |             // echarts_32(returnData);
  25 |             // echarts_33(returnData);
  26 |             // map(returnData);
  27 |         }
  28 |     });
  29 |     // 填充单点信息
  30 |     function filler(data, vote_sum){
  31 |         var left = document.querySelector('li.pulll_left.counter')
  32 |         left.innerHTML = data['ans_c']
  33 |         var right = document.querySelector('li.pulll_right.counter')
  34 |         right.innerHTML = data['followers']
  35 |         var title = document.querySelector('div.title')
  36 |         title.innerHTML = data['title']
  37 |         var content = document.querySelector('div.content')
  38 |         content.innerHTML = data['content']
  39 |         var vote = document.querySelector('li.pulll_left.vote')
  40 |         vote.innerHTML = vote_sum
  41 |         var read = document = document.querySelector('li.pulll_right.read')
  42 |         read.innerHTML = data['read_count']
  43 | 
  44 |         // 填充答案
  45 |         
  46 |     }
  47 |     // 显示排名第i 的数据
  48 |     function display( ){
  49 |         // console.log(item)
  50 |         var author = document.querySelector('#author')
  51 |         author.innerHTML = answer[i]['name']
  52 |         var author = document.querySelector('#vote')
  53 |         author.innerHTML = answer[i]['value']
  54 |         var rank = document.querySelector('#rank')
  55 |         rank.innerHTML = i+1
  56 |         var content = document.querySelector("#content")
  57 |         content.innerHTML = answer[i]['content']
  58 |     }
  59 | 
  60 |     // 添加点击事件
  61 |     var inputRank = document.querySelector('#inputRank')
  62 |     var previous = document.querySelector('#previous')
  63 |     previous.addEventListener("click", function(){
  64 |         i = i-1
  65 |         inputRank.value = i+1
  66 |         if (i<0){i = answer.length-1}
  67 |         display()
  68 |     })
  69 | 
  70 |     var next = document.querySelector('#next')
  71 |     next.addEventListener('click',function(){
  72 |         i = i+1
  73 |         inputRank.value = i+1
  74 |         if (i>answer.length){i=0}
  75 |         display()
  76 |     })
  77 | 
  78 |     inputRank.addEventListener("keyup", function(event){
  79 |         if(event.keyCode === 13){
  80 |             event.preventDefault();
  81 |             console.log(inputRank)
  82 |             console.log(inputRank.value)
  83 |             i = parseInt(inputRank.value)-1
  84 |             display()
  85 |         }
  86 |     })
  87 | 
  88 | 
  89 |     function map(input_data) {
  90 |         // 基于准备好的dom，初始化echarts实例
  91 |         var myChart = echarts.init(document.getElementById('map_1'));
  92 |         var data = input_data['map']['data'];
  93 |         // 地图标记点数据
  94 |         // var data = [
  95 |         //     {name: '海门', value: 69},
  96 |         //     {name: '鄂尔多斯', value: 12},
  97 |         //     {name: '招远', value: 12},
  98 |         //     {name: '舟山', value: 12},
  99 |         //     {name: '齐齐哈尔', value: 14},
 100 |         //     {name: '盐城', value: 15},
 101 |         //     {name: '赤峰', value: 16},
 102 |         //     {name: '青岛', value: 18},
 103 |         //     {name: '乳山', value: 18},
 104 |         //     {name: '金昌', value: 19},
 105 |         //     {name: '泉州', value: 21},
 106 |         //     {name: '莱西', value: 21},
 107 |         //     {name: '日照', value: 21},
 108 |         //     {name: '胶南', value: 22},
 109 |         //     {name: '南通', value: 23},
 110 |         //     {name: '拉萨', value: 24},
 111 |         //     {name: '云浮', value: 24},
 112 |         //     {name: '梅州', value: 25},
 113 |         //     {name: '文登', value: 25},
 114 |         //     {name: '上海', value: 25},
 115 |         //     {name: '攀枝花', value: 25},
 116 |         //     {name: '威海', value: 25},
 117 |         //     {name: '承德', value: 25},
 118 |         //     {name: '厦门', value: 26},
 119 |         //     {name: '汕尾', value: 26},
 120 |         //     {name: '潮州', value: 26},
 121 |         //     {name: '丹东', value: 27},
 122 |         //     {name: '太仓', value: 27},
 123 |         //     {name: '曲靖', value: 27},
 124 |         //     {name: '烟台', value: 28},
 125 |         //     {name: '福州', value: 29},
 126 |         //     {name: '瓦房店', value: 30},
 127 |         //     {name: '即墨', value: 30},
 128 |         //     {name: '抚顺', value: 31},
 129 |         //     {name: '玉溪', value: 31},
 130 |         //     {name: '张家口', value: 31},
 131 |         //     {name: '阳泉', value: 31},
 132 |         //     {name: '莱州', value: 32},
 133 |         //     {name: '湖州', value: 32},
 134 |         //     {name: '汕头', value: 32},
 135 |         //     {name: '昆山', value: 33},
 136 |         //     {name: '宁波', value: 33},
 137 |         //     {name: '湛江', value: 33},
 138 |         //     {name: '揭阳', value: 34},
 139 |         //     {name: '荣成', value: 34},
 140 |         //     {name: '连云港', value: 35},
 141 |         //     {name: '葫芦岛', value: 35},
 142 |         //     {name: '常熟', value: 36},
 143 |         //     {name: '东莞', value: 36},
 144 |         //     {name: '河源', value: 36},
 145 |         //     {name: '淮安', value: 36},
 146 |         //     {name: '泰州', value: 36},
 147 |         //     {name: '南宁', value: 37},
 148 |         //     {name: '营口', value: 37},
 149 |         //     {name: '惠州', value: 37},
 150 |         //     {name: '江阴', value: 37},
 151 |         //     {name: '蓬莱', value: 37},
 152 |         //     {name: '韶关', value: 38},
 153 |         //     {name: '嘉峪关', value: 38},
 154 |         //     {name: '广州', value: 38},
 155 |         //     {name: '延安', value: 38},
 156 |         //     {name: '太原', value: 39},
 157 |         //     {name: '清远', value: 39},
 158 |         //     {name: '中山', value: 39},
 159 |         //     {name: '昆明', value: 39},
 160 |         //     {name: '寿光', value: 40},
 161 |         //     {name: '盘锦', value: 40},
 162 |         //     {name: '长治', value: 41},
 163 |         //     {name: '深圳', value: 41},
 164 |         //     {name: '珠海', value: 42},
 165 |         //     {name: '宿迁', value: 43},
 166 |         //     {name: '咸阳', value: 43},
 167 |         //     {name: '铜川', value: 44},
 168 |         //     {name: '平度', value: 44},
 169 |         //     {name: '佛山', value: 44},
 170 |         //     {name: '海口', value: 44},
 171 |         //     {name: '江门', value: 45},
 172 |         //     {name: '章丘', value: 45},
 173 |         //     {name: '肇庆', value: 46},
 174 |         //     {name: '大连', value: 47},
 175 |         //     {name: '临汾', value: 47},
 176 |         //     {name: '吴江', value: 47},
 177 |         //     {name: '石嘴山', value: 49},
 178 |         //     {name: '沈阳', value: 50},
 179 |         //     {name: '苏州', value: 50},
 180 |         //     {name: '茂名', value: 50},
 181 |         //     {name: '嘉兴', value: 51},
 182 |         //     {name: '长春', value: 51},
 183 |         //     {name: '胶州', value: 52},
 184 |         //     {name: '银川', value: 52},
 185 |         //     {name: '张家港', value: 52},
 186 |         //     {name: '三门峡', value: 53},
 187 |         //     {name: '锦州', value: 54},
 188 |         //     {name: '南昌', value: 54},
 189 |         //     {name: '柳州', value: 54},
 190 |         //     {name: '三亚', value: 54},
 191 |         //     {name: '自贡', value: 56},
 192 |         //     {name: '吉林', value: 56},
 193 |         //     {name: '阳江', value: 57},
 194 |         //     {name: '泸州', value: 57},
 195 |         //     {name: '西宁', value: 57},
 196 |         //     {name: '宜宾', value: 58},
 197 |         //     {name: '呼和浩特', value: 58},
 198 |         //     {name: '成都', value: 58},
 199 |         //     {name: '大同', value: 58},
 200 |         //     {name: '镇江', value: 59},
 201 |         //     {name: '桂林', value: 59},
 202 |         //     {name: '张家界', value: 59},
 203 |         //     {name: '宜兴', value: 59},
 204 |         //     {name: '北海', value: 60},
 205 |         //     {name: '西安', value: 61},
 206 |         //     {name: '金坛', value: 62},
 207 |         //     {name: '东营', value: 62},
 208 |         //     {name: '牡丹江', value: 63},
 209 |         //     {name: '遵义', value: 63},
 210 |         //     {name: '绍兴', value: 63},
 211 |         //     {name: '扬州', value: 64},
 212 |         //     {name: '常州', value: 64},
 213 |         //     {name: '潍坊', value: 65},
 214 |         //     {name: '重庆', value: 66},
 215 |         //     {name: '台州', value: 67},
 216 |         //     {name: '南京', value: 67},
 217 |         //     {name: '滨州', value: 70},
 218 |         //     {name: '贵阳', value: 71},
 219 |         //     {name: '无锡', value: 71},
 220 |         //     {name: '本溪', value: 71},
 221 |         //     {name: '克拉玛依', value: 72},
 222 |         //     {name: '渭南', value: 72},
 223 |         //     {name: '马鞍山', value: 72},
 224 |         //     {name: '宝鸡', value: 72},
 225 |         //     {name: '焦作', value: 75},
 226 |         //     {name: '句容', value: 75},
 227 |         //     {name: '北京', value: 79},
 228 |         //     {name: '徐州', value: 79},
 229 |         //     {name: '衡水', value: 80},
 230 |         //     {name: '包头', value: 80},
 231 |         //     {name: '绵阳', value: 80},
 232 |         //     {name: '乌鲁木齐', value: 84},
 233 |         //     {name: '枣庄', value: 84},
 234 |         //     {name: '杭州', value: 84},
 235 |         //     {name: '淄博', value: 85},
 236 |         //     {name: '鞍山', value: 86},
 237 |         //     {name: '溧阳', value: 86},
 238 |         //     {name: '库尔勒', value: 86},
 239 |         //     {name: '安阳', value: 90},
 240 |         //     {name: '开封', value: 90},
 241 |         //     {name: '济南', value: 92},
 242 |         //     {name: '德阳', value: 93},
 243 |         //     {name: '温州', value: 95},
 244 |         //     {name: '九江', value: 96},
 245 |         //     {name: '邯郸', value: 98},
 246 |         //     {name: '临安', value: 99},
 247 |         //     {name: '兰州', value: 99},
 248 |         //     {name: '沧州', value: 100},
 249 |         //     {name: '临沂', value: 103},
 250 |         //     {name: '南充', value: 104},
 251 |         //     {name: '天津', value: 105},
 252 |         //     {name: '富阳', value: 106},
 253 |         //     {name: '泰安', value: 112},
 254 |         //     {name: '诸暨', value: 112},
 255 |         //     {name: '郑州', value: 313},
 256 |         //     {name: '哈尔滨', value: 114},
 257 |         //     {name: '聊城', value: 116},
 258 |         //     {name: '芜湖', value: 117},
 259 |         //     {name: '唐山', value: 119},
 260 |         //     {name: '平顶山', value: 119},
 261 |         //     {name: '邢台', value: 119},
 262 |         //     {name: '德州', value: 120},
 263 |         //     {name: '济宁', value: 120},
 264 |         //     {name: '荆州', value: 127},
 265 |         //     {name: '宜昌', value: 130},
 266 |         //     {name: '义乌', value: 132},
 267 |         //     {name: '丽水', value: 133},
 268 |         //     {name: '洛阳', value: 134},
 269 |         //     {name: '秦皇岛', value: 136},
 270 |         //     {name: '株洲', value: 143},
 271 |         //     {name: '石家庄', value: 147},
 272 |         //     {name: '莱芜', value: 148},
 273 |         //     {name: '常德', value: 152},
 274 |         //     {name: '保定', value: 153},
 275 |         //     {name: '湘潭', value: 154},
 276 |         //     {name: '金华', value: 157},
 277 |         //     {name: '岳阳', value: 169},
 278 |         //     {name: '长沙', value: 175},
 279 |         //     {name: '衢州', value: 177},
 280 |         //     {name: '廊坊', value: 193},
 281 |         //     {name: '菏泽', value: 194},
 282 |         //     {name: '合肥', value: 229},
 283 |         //     {name: '武汉', value: 273},
 284 |         //     {name: '大庆', value: 279}
 285 |         // ];
 286 | 
 287 |         // 经纬度信息
 288 |         var geoCoordMap = {
 289 |             '海门': [121.15, 31.89],
 290 |             '鄂尔多斯': [109.781327, 39.608266],
 291 |             '招远': [120.38, 37.35],
 292 |             '舟山': [122.207216, 29.985295],
 293 |             '齐齐哈尔': [123.97, 47.33],
 294 |             '盐城': [120.13, 33.38],
 295 |             '赤峰': [118.87, 42.28],
 296 |             '青岛': [120.33, 36.07],
 297 |             '乳山': [121.52, 36.89],
 298 |             '金昌': [102.188043, 38.520089],
 299 |             '泉州': [118.58, 24.93],
 300 |             '莱西': [120.53, 36.86],
 301 |             '日照': [119.46, 35.42],
 302 |             '胶南': [119.97, 35.88],
 303 |             '南通': [121.05, 32.08],
 304 |             '拉萨': [91.11, 29.97],
 305 |             '云浮': [112.02, 22.93],
 306 |             '梅州': [116.1, 24.55],
 307 |             '文登': [122.05, 37.2],
 308 |             '上海': [121.48, 31.22],
 309 |             '攀枝花': [101.718637, 26.582347],
 310 |             '威海': [122.1, 37.5],
 311 |             '承德': [117.93, 40.97],
 312 |             '厦门': [118.1, 24.46],
 313 |             '汕尾': [115.375279, 22.786211],
 314 |             '潮州': [116.63, 23.68],
 315 |             '丹东': [124.37, 40.13],
 316 |             '太仓': [121.1, 31.45],
 317 |             '曲靖': [103.79, 25.51],
 318 |             '烟台': [121.39, 37.52],
 319 |             '福州': [119.3, 26.08],
 320 |             '瓦房店': [121.979603, 39.627114],
 321 |             '即墨': [120.45, 36.38],
 322 |             '抚顺': [123.97, 41.97],
 323 |             '玉溪': [102.52, 24.35],
 324 |             '张家口': [114.87, 40.82],
 325 |             '阳泉': [113.57, 37.85],
 326 |             '莱州': [119.942327, 37.177017],
 327 |             '湖州': [120.1, 30.86],
 328 |             '汕头': [116.69, 23.39],
 329 |             '昆山': [120.95, 31.39],
 330 |             '宁波': [121.56, 29.86],
 331 |             '湛江': [110.359377, 21.270708],
 332 |             '揭阳': [116.35, 23.55],
 333 |             '荣成': [122.41, 37.16],
 334 |             '连云港': [119.16, 34.59],
 335 |             '葫芦岛': [120.836932, 40.711052],
 336 |             '常熟': [120.74, 31.64],
 337 |             '东莞': [113.75, 23.04],
 338 |             '河源': [114.68, 23.73],
 339 |             '淮安': [119.15, 33.5],
 340 |             '泰州': [119.9, 32.49],
 341 |             '南宁': [108.33, 22.84],
 342 |             '营口': [122.18, 40.65],
 343 |             '惠州': [114.4, 23.09],
 344 |             '江阴': [120.26, 31.91],
 345 |             '蓬莱': [120.75, 37.8],
 346 |             '韶关': [113.62, 24.84],
 347 |             '嘉峪关': [98.289152, 39.77313],
 348 |             '广州': [113.23, 23.16],
 349 |             '延安': [109.47, 36.6],
 350 |             '太原': [112.53, 37.87],
 351 |             '清远': [113.01, 23.7],
 352 |             '中山': [113.38, 22.52],
 353 |             '昆明': [102.73, 25.04],
 354 |             '寿光': [118.73, 36.86],
 355 |             '盘锦': [122.070714, 41.119997],
 356 |             '长治': [113.08, 36.18],
 357 |             '深圳': [114.07, 22.62],
 358 |             '珠海': [113.52, 22.3],
 359 |             '宿迁': [118.3, 33.96],
 360 |             '咸阳': [108.72, 34.36],
 361 |             '铜川': [109.11, 35.09],
 362 |             '平度': [119.97, 36.77],
 363 |             '佛山': [113.11, 23.05],
 364 |             '海口': [110.35, 20.02],
 365 |             '江门': [113.06, 22.61],
 366 |             '章丘': [117.53, 36.72],
 367 |             '肇庆': [112.44, 23.05],
 368 |             '大连': [121.62, 38.92],
 369 |             '临汾': [111.5, 36.08],
 370 |             '吴江': [120.63, 31.16],
 371 |             '石嘴山': [106.39, 39.04],
 372 |             '沈阳': [123.38, 41.8],
 373 |             '苏州': [120.62, 31.32],
 374 |             '茂名': [110.88, 21.68],
 375 |             '嘉兴': [120.76, 30.77],
 376 |             '长春': [125.35, 43.88],
 377 |             '胶州': [120.03336, 36.264622],
 378 |             '银川': [106.27, 38.47],
 379 |             '张家港': [120.555821, 31.875428],
 380 |             '三门峡': [111.19, 34.76],
 381 |             '锦州': [121.15, 41.13],
 382 |             '南昌': [115.89, 28.68],
 383 |             '柳州': [109.4, 24.33],
 384 |             '三亚': [109.511909, 18.252847],
 385 |             '自贡': [104.778442, 29.33903],
 386 |             '吉林': [126.57, 43.87],
 387 |             '阳江': [111.95, 21.85],
 388 |             '泸州': [105.39, 28.91],
 389 |             '西宁': [101.74, 36.56],
 390 |             '宜宾': [104.56, 29.77],
 391 |             '呼和浩特': [111.65, 40.82],
 392 |             '成都': [104.06, 30.67],
 393 |             '大同': [113.3, 40.12],
 394 |             '镇江': [119.44, 32.2],
 395 |             '桂林': [110.28, 25.29],
 396 |             '张家界': [110.479191, 29.117096],
 397 |             '宜兴': [119.82, 31.36],
 398 |             '北海': [109.12, 21.49],
 399 |             '西安': [108.95, 34.27],
 400 |             '金坛': [119.56, 31.74],
 401 |             '东营': [118.49, 37.46],
 402 |             '牡丹江': [129.58, 44.6],
 403 |             '遵义': [106.9, 27.7],
 404 |             '绍兴': [120.58, 30.01],
 405 |             '扬州': [119.42, 32.39],
 406 |             '常州': [119.95, 31.79],
 407 |             '潍坊': [119.1, 36.62],
 408 |             '重庆': [106.54, 29.59],
 409 |             '台州': [121.420757, 28.656386],
 410 |             '南京': [118.78, 32.04],
 411 |             '滨州': [118.03, 37.36],
 412 |             '贵阳': [106.71, 26.57],
 413 |             '无锡': [120.29, 31.59],
 414 |             '本溪': [123.73, 41.3],
 415 |             '克拉玛依': [84.77, 45.59],
 416 |             '渭南': [109.5, 34.52],
 417 |             '马鞍山': [118.48, 31.56],
 418 |             '宝鸡': [107.15, 34.38],
 419 |             '焦作': [113.21, 35.24],
 420 |             '句容': [119.16, 31.95],
 421 |             '北京': [116.46, 39.92],
 422 |             '徐州': [117.2, 34.26],
 423 |             '衡水': [115.72, 37.72],
 424 |             '包头': [110, 40.58],
 425 |             '绵阳': [104.73, 31.48],
 426 |             '乌鲁木齐': [87.68, 43.77],
 427 |             '枣庄': [117.57, 34.86],
 428 |             '杭州': [120.19, 30.26],
 429 |             '淄博': [118.05, 36.78],
 430 |             '鞍山': [122.85, 41.12],
 431 |             '溧阳': [119.48, 31.43],
 432 |             '库尔勒': [86.06, 41.68],
 433 |             '安阳': [114.35, 36.1],
 434 |             '开封': [114.35, 34.79],
 435 |             '济南': [117, 36.65],
 436 |             '德阳': [104.37, 31.13],
 437 |             '温州': [120.65, 28.01],
 438 |             '九江': [115.97, 29.71],
 439 |             '邯郸': [114.47, 36.6],
 440 |             '临安': [119.72, 30.23],
 441 |             '兰州': [103.73, 36.03],
 442 |             '沧州': [116.83, 38.33],
 443 |             '临沂': [118.35, 35.05],
 444 |             '南充': [106.110698, 30.837793],
 445 |             '天津': [117.2, 39.13],
 446 |             '富阳': [119.95, 30.07],
 447 |             '泰安': [117.13, 36.18],
 448 |             '诸暨': [120.23, 29.71],
 449 |             '郑州': [113.65, 34.76],
 450 |             '哈尔滨': [126.63, 45.75],
 451 |             '聊城': [115.97, 36.45],
 452 |             '芜湖': [118.38, 31.33],
 453 |             '唐山': [118.02, 39.63],
 454 |             '平顶山': [113.29, 33.75],
 455 |             '邢台': [114.48, 37.05],
 456 |             '德州': [116.29, 37.45],
 457 |             '济宁': [116.59, 35.38],
 458 |             '荆州': [112.239741, 30.335165],
 459 |             '宜昌': [111.3, 30.7],
 460 |             '义乌': [120.06, 29.32],
 461 |             '丽水': [119.92, 28.45],
 462 |             '洛阳': [112.44, 34.7],
 463 |             '秦皇岛': [119.57, 39.95],
 464 |             '株洲': [113.16, 27.83],
 465 |             '石家庄': [114.48, 38.03],
 466 |             '莱芜': [117.67, 36.19],
 467 |             '常德': [111.69, 29.05],
 468 |             '保定': [115.48, 38.85],
 469 |             '湘潭': [112.91, 27.87],
 470 |             '金华': [119.64, 29.12],
 471 |             '岳阳': [113.09, 29.37],
 472 |             '长沙': [113, 28.21],
 473 |             '衢州': [118.88, 28.97],
 474 |             '廊坊': [116.7, 39.53],
 475 |             '菏泽': [115.480656, 35.23375],
 476 |             '合肥': [117.27, 31.86],
 477 |             '武汉': [114.31, 30.52],
 478 |             '大庆': [125.03, 46.58]
 479 |         };
 480 |         // 拼接数据
 481 |         var convertData = function (data) {
 482 |             var res = [];
 483 |             for (var i = 0; i < data.length; i++) {
 484 |                 var geoCoord = geoCoordMap[data[i].name];
 485 |                 if (geoCoord) {
 486 |                     res.push({
 487 |                         name: data[i].name,
 488 |                         value: geoCoord.concat(data[i].value)
 489 |                     });
 490 |                 }
 491 |             }
 492 |             return res;
 493 |         };
 494 | 
 495 |         option = {
 496 |             tooltip: {
 497 |                 trigger: 'item'
 498 |                 // formatter: function (params) {
 499 |                 //     if (typeof (params.value)[2] == "undefined") {
 500 |                 //         return params.name + ' : ' + params.value;
 501 |                 //     } else {
 502 |                 //         return params.name + ' : ' + params.value[2];
 503 |                 //     }
 504 |                 // }
 505 |             },
 506 | 
 507 |             geo: {
 508 |                 map: 'china',
 509 |                 label: {
 510 |                     // 显示各个省份名称
 511 |                     emphasis: {
 512 |                         show: true,
 513 |                         color: '#fff'
 514 |                     }
 515 |                 },
 516 |                 roam: false,//禁止其放大缩小
 517 |                 itemStyle: {
 518 |                     normal: {
 519 |                         areaColor: '#4c60ff',
 520 |                         borderColor: '#002097'
 521 |                     },
 522 |                     emphasis: {
 523 |                         areaColor: '#293fff'
 524 |                     }
 525 |                 }
 526 |             },
 527 |             series: [
 528 |                 {
 529 |                     name: '岗位数据',
 530 |                     type: 'scatter',
 531 |                     coordinateSystem: 'geo',
 532 |                     data: convertData(data),
 533 |                     // symbolSize: function (val) {
 534 |                     //     return val[2] / 15;
 535 |                     // },
 536 |                     label: {
 537 |                         normal: {
 538 |                             formatter: '{b}',
 539 |                             position: 'right',
 540 |                             show: false
 541 |                         },
 542 |                         emphasis: {
 543 |                             show: true
 544 |                         }
 545 |                     },
 546 |                     itemStyle: {
 547 |                         normal: {
 548 |                             color: '#ffeb7b'
 549 |                         }
 550 |                     }
 551 |                 },
 552 |                 {
 553 |                     name: 'Top 5',
 554 |                     // top5的显示图形
 555 |                     type: 'effectScatter',
 556 |                     coordinateSystem: 'geo',
 557 |                     data: convertData(data.sort(function (a, b) {
 558 |                         return b.value - a.value;
 559 |                     }).slice(0, 5)),
 560 |                     symbolSize: function (val) {
 561 |                         return val[2] / 10;
 562 |                     },
 563 |                     // 气泡特效
 564 |                     showEffectOn: 'render',
 565 |                     rippleEffect: {
 566 |                         // 气泡动画样式
 567 |                         brushType: 'stroke'
 568 |                     },
 569 |                     // 是否开启鼠标滑过的动画样式
 570 |                     hoverAnimation: true,
 571 |                     label: {
 572 |                         normal: {
 573 |                             formatter: '{b}',
 574 |                             position: 'right',
 575 |                             show: true
 576 |                         }
 577 |                     },
 578 |                     itemStyle: {
 579 |                         normal: {
 580 |                             // 气泡颜色
 581 |                             color: '#ffeb7b'
 582 |                         }
 583 |                     }
 584 |                 }
 585 | 
 586 |             ]
 587 |         };
 588 | 
 589 |         myChart.setOption(option);
 590 |         window.addEventListener("resize", function () {
 591 |             myChart.resize();
 592 |         });
 593 |     }
 594 | 
 595 |     // 直方图，横轴为类别
 596 |     function echarts_1(data) {
 597 |         // 基于准备好的dom，初始化echarts实例
 598 |         // console.log("this is echart 1")
 599 |         var myChart = echarts.init(document.getElementById('echart1'));
 600 | 
 601 |         option = {
 602 |             tooltip: {
 603 |                 trigger: 'axis',
 604 |                 axisPointer: {
 605 |                     // 柱形图阴影样式
 606 |                     type: 'shadow'
 607 |                 }
 608 |             },
 609 |             // 柱形图与外容器间距
 610 |             grid: {
 611 |                 left: '0%',
 612 |                 top: '10px',
 613 |                 right: '0%',
 614 |                 bottom: '4%',
 615 |                 // x,y轴是否显示
 616 |                 containLabel: true
 617 |             },
 618 |             xAxis: [{
 619 |                 type: 'category',
 620 |                 data: ['行业一', '行业二', '行业三', '行业四', '行业五', '行业六', '行业七'],
 621 |                 // data: data['echart_1']['x_name'],
 622 |                 axisLine: {
 623 |                     show: true,
 624 |                     lineStyle: {
 625 |                         color: "rgba(255,255,255,.1)",
 626 |                         // 横坐标线宽
 627 |                         width: 1,
 628 |                         type: "solid"
 629 |                     }
 630 |                 },
 631 | 
 632 |                 axisTick: {
 633 |                     // 是否显示X轴刻度
 634 |                     show: false
 635 |                 },
 636 |                 axisLabel: {
 637 |                     // x轴数据标签显示样式
 638 |                     interval: 0,
 639 |                     show: true,
 640 |                     splitNumber: 15,
 641 |                     textStyle: {
 642 |                         color: "rgba(255,255,255,.6)",
 643 |                         fontSize: '12'
 644 |                     }
 645 |                 }
 646 |             }],
 647 |             yAxis: [{
 648 |                 type: 'value',
 649 |                 axisLabel: {
 650 |                     show: true,
 651 |                     textStyle: {
 652 |                         color: "rgba(255,255,255,.6)",
 653 |                         fontSize: '12'
 654 |                     }
 655 |                 },
 656 |                 axisTick: {
 657 |                     show: false
 658 |                 },
 659 |                 axisLine: {
 660 |                     show: true,
 661 |                     lineStyle: {
 662 |                         color: "rgba(255,255,255,.1	)",
 663 |                         width: 1,
 664 |                         type: "solid"
 665 |                     }
 666 |                 },
 667 |                 splitLine: {
 668 |                     lineStyle: {
 669 |                         color: "rgba(255,255,255,.1)"
 670 |                     }
 671 |                 }
 672 |             }],
 673 |             series: [
 674 |                 {
 675 |                     type: 'bar',
 676 |                     data: [200, 300, 300, 900, 1500, 1200, 600],
 677 |                     // data: data['echart_1']['data'],
 678 |                     barWidth: '35%', //柱子宽度
 679 |                     itemStyle: {
 680 |                         color: '#2f89cf',
 681 |                         // 数值为0时不绘制该柱形
 682 |                         opacity: 1,
 683 |                         // 柱形图圆角
 684 |                         barBorderRadius: 5
 685 |                     }
 686 |                 }
 687 | 
 688 |             ]
 689 |         };
 690 | 
 691 |         // 使用刚指定的配置项和数据显示图表。
 692 |         myChart.setOption(option);
 693 |         window.addEventListener("resize", function () {
 694 |             myChart.resize();
 695 |         });
 696 |     }
 697 | 
 698 |     function echarts_2(data) {
 699 |         // 基于准备好的dom，初始化echarts实例
 700 |         var myChart = echarts.init(document.getElementById('echart2'));
 701 | 
 702 |         option = {
 703 |             tooltip: {
 704 |                 trigger: 'axis',
 705 |                 axisPointer: {type: 'shadow'}
 706 |             },
 707 |             grid: {
 708 |                 left: '0%',
 709 |                 top: '10px',
 710 |                 right: '0%',
 711 |                 bottom: '4%',
 712 |                 containLabel: true
 713 |             },
 714 |             xAxis: [{
 715 |                 type: 'category',
 716 |                 // data: ['薪资一', '薪资二', '薪资三', '薪资四', '薪资五', '薪资六', '薪资七'],
 717 |                 data: data['x_name'],
 718 |                 axisLine: {
 719 |                     show: true,
 720 |                     lineStyle: {
 721 |                         color: "rgba(255,255,255,.1)",
 722 |                         width: 1,
 723 |                         type: "solid"
 724 |                     }
 725 |                 },
 726 | 
 727 |                 axisTick: {
 728 |                     show: false
 729 |                 },
 730 |                 axisLabel: {
 731 |                     interval: 0,
 732 |                     show: true,
 733 |                     splitNumber: 15,
 734 |                     textStyle: {
 735 |                         color: "rgba(255,255,255,.6)",
 736 |                         fontSize: '12'
 737 |                     }
 738 |                 }
 739 |             }],
 740 |             yAxis: [{
 741 |                 type: 'value',
 742 |                 axisLabel: {
 743 |                     show: true,
 744 |                     textStyle: {
 745 |                         color: "rgba(255,255,255,.6)",
 746 |                         fontSize: '12'
 747 |                     }
 748 |                 },
 749 |                 axisTick: {
 750 |                     show: false
 751 |                 },
 752 |                 axisLine: {
 753 |                     show: true,
 754 |                     lineStyle: {
 755 |                         color: "rgba(255,255,255,.1	)",
 756 |                         width: 1,
 757 |                         type: "solid"
 758 |                     }
 759 |                 },
 760 |                 splitLine: {
 761 |                     lineStyle: {
 762 |                         color: "rgba(255,255,255,.1)"
 763 |                     }
 764 |                 }
 765 |             }],
 766 |             series: [
 767 |                 {
 768 | 
 769 |                     type: 'bar',
 770 |                     // data: [1500, 1200, 600, 200, 300, 300, 900],
 771 |                     data: data['data'],
 772 |                     barWidth: '35%', //柱子宽度
 773 |                     itemStyle: {
 774 |                         normal: {
 775 |                             color: '#27d08a',
 776 |                             opacity: 1,
 777 |                             barBorderRadius: 5
 778 |                         }
 779 |                     }
 780 |                 }
 781 | 
 782 |             ]
 783 |         };
 784 | 
 785 |         // 使用刚指定的配置项和数据显示图表。
 786 |         myChart.setOption(option);
 787 |         window.addEventListener("resize", function () {
 788 |             myChart.resize();
 789 |         });
 790 |     }
 791 | 
 792 | 
 793 |     function echarts_5(data) {
 794 |         // 基于准备好的dom，初始化echarts实例
 795 |         var myChart = echarts.init(document.getElementById('echart5'));
 796 | 
 797 |         option = {
 798 |             tooltip: {
 799 |                 trigger: 'axis',
 800 |                 axisPointer: {
 801 |                     type: 'shadow'
 802 |                 }
 803 |             },
 804 | 
 805 |             grid: {
 806 |                 left: '0%',
 807 |                 top: '10px',
 808 |                 right: '0%',
 809 |                 bottom: '2%',
 810 |                 containLabel: true
 811 |             },
 812 |             xAxis: [{
 813 |                 type: 'category',
 814 |                 // data: ['经验一', '经验二', '经验三', '经验四', '经验五', '经验六', '经验七', '经验八'],
 815 |                 data: data['x_name'],
 816 |                 axisLine: {
 817 |                     show: true,
 818 |                     lineStyle: {
 819 |                         color: "rgba(255,255,255,.1)",
 820 |                         width: 1,
 821 |                         type: "solid"
 822 |                     }
 823 |                 },
 824 | 
 825 |                 axisTick: {
 826 |                     show: false
 827 |                 },
 828 |                 axisLabel: {
 829 |                     interval: 0,
 830 |                     show: true,
 831 |                     splitNumber: 15,
 832 |                     textStyle: {
 833 |                         color: "rgba(255,255,255,.6)",
 834 |                         fontSize: '12'
 835 |                     }
 836 |                 }
 837 |             }],
 838 |             yAxis: [{
 839 |                 type: 'value',
 840 |                 axisLabel: {
 841 |                     show: true,
 842 |                     textStyle: {
 843 |                         color: "rgba(255,255,255,.6)",
 844 |                         fontSize: '12'
 845 |                     }
 846 |                 },
 847 |                 axisTick: {
 848 |                     show: false
 849 |                 },
 850 |                 axisLine: {
 851 |                     show: true,
 852 |                     lineStyle: {
 853 |                         color: "rgba(255,255,255,.1	)",
 854 |                         width: 1,
 855 |                         type: "solid"
 856 |                     }
 857 |                 },
 858 |                 splitLine: {
 859 |                     lineStyle: {
 860 |                         color: "rgba(255,255,255,.1)"
 861 |                     }
 862 |                 }
 863 |             }],
 864 |             series: [{
 865 |                 type: 'bar',
 866 |                 // data: [2, 3, 3, 9, 15, 12, 6, 4, 6, 7, 4, 10],
 867 |                 data: data['data'],
 868 |                 barWidth: '35%', //柱子宽度
 869 |                 itemStyle: {
 870 |                     color: '#2f89cf',
 871 |                     opacity: 1,
 872 |                     barBorderRadius: 5
 873 |                 }
 874 |             }
 875 |             ]
 876 |         };
 877 | 
 878 |         // 使用刚指定的配置项和数据显示图表。
 879 |         myChart.setOption(option);
 880 |         window.addEventListener("resize", function () {
 881 |             myChart.resize();
 882 |         });
 883 |     }
 884 | 
 885 |         // 拆线图
 886 |     function echarts_4(data) {
 887 |         // 基于准备好的dom，初始化echarts实例
 888 |         var myChart = echarts.init(document.getElementById('echart4'));
 889 |         // console.log("this is echart 4")
 890 |         option = {
 891 |             tooltip: {
 892 |                 trigger: 'axis',
 893 |                 axisPointer: {
 894 |                     lineStyle: {
 895 |                         color: '#dddc6b'
 896 |                     }
 897 |                 }
 898 |             },
 899 |             legend: {
 900 |                 top: '0%',
 901 |                 // data: ['python', 'java'],
 902 |                 data: ['纵轴：人数, 横轴：赞数'],
 903 |                 textStyle: {
 904 |                     color: 'rgba(255,255,255,.5)',
 905 |                     fontSize: '12'
 906 |                 }
 907 |             },
 908 |             grid: {
 909 |                 left: '10',
 910 |                 top: '30',
 911 |                 right: '10',
 912 |                 bottom: '10',
 913 |                 containLabel: true
 914 |             },
 915 | 
 916 |             xAxis: [{
 917 |                 type: 'category',
 918 |                 boundaryGap: false,
 919 |                 axisLabel: {
 920 |                     textStyle: {
 921 |                         color: "rgba(255,255,255,.6)",
 922 |                         fontSize: 12
 923 |                     }
 924 |                 },
 925 |                 axisLine: {
 926 |                     lineStyle: {
 927 |                         color: 'rgba(255,255,255,.2)'
 928 |                     }
 929 | 
 930 |                 },
 931 | 
 932 |                 // data: ['01', '02', '03', '04', '05', '06', '07', '08', '09', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30']
 933 |                 data: data['x_name']
 934 | 
 935 |             }
 936 |             ],
 937 | 
 938 |             yAxis: [{
 939 |                 type: 'value',
 940 |                 axisTick: {show: false},
 941 |                 axisLine: {
 942 |                     lineStyle: {
 943 |                         color: 'rgba(255,255,255,.1)'
 944 |                     }
 945 |                 },
 946 |                 axisLabel: {
 947 |                     textStyle: {
 948 |                         color: "rgba(255,255,255,.6)",
 949 |                         fontSize: 12
 950 |                     }
 951 |                 },
 952 |                 splitLine: {
 953 |                     lineStyle: {
 954 |                         color: 'rgba(255,255,255,.1)'
 955 |                     }
 956 |                 }
 957 |             }],
 958 |             series: [
 959 |                 {
 960 |                     name: 'python',
 961 |                     type: 'line',
 962 |                     // 是否平滑显示
 963 |                     smooth: true,
 964 |                     // 是否在曲线上显示标记点
 965 |                     showSymbol: false,
 966 |                     // 曲线样式,颜色和宽度
 967 |                     lineStyle: {
 968 |                         color: '#0184d5',
 969 |                         width: 2
 970 |                     },
 971 |                     // 曲线覆盖区域的颜色样式
 972 |                     areaStyle: {
 973 |                         color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [{
 974 |                             offset: 0,
 975 |                             color: 'rgba(1, 132, 213, 0.4)'
 976 |                         }, {
 977 |                             offset: 0.8,
 978 |                             color: 'rgba(1, 132, 213, 0.1)'
 979 |                         }], false),
 980 |                         shadowColor: 'rgba(0, 0, 0, 0.1)'
 981 |                     },
 982 |                     itemStyle: {
 983 |                         color: '#0184d5',
 984 |                         borderColor: 'rgba(221, 220, 107, .1)',
 985 |                         borderWidth: 12
 986 |                     },
 987 |                     // data: [3, 4, 3, 4, 3, 4, 3, 6, 2, 4, 2, 4, 3, 4, 3, 4, 3, 4, 3, 6, 2, 4, 2, 4]
 988 |                     data: data['data']
 989 |                 },
 990 |                 // {
 991 |                 //     name: 'java',
 992 |                 //     type: 'line',
 993 |                 //     smooth: true,
 994 |                 //     showSymbol: false,
 995 |                 //     lineStyle: {
 996 |                 //         color: '#00d887',
 997 |                 //         width: 2
 998 |                 //     },
 999 |                 //     areaStyle: {
1000 |                 //         color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [{
1001 |                 //             offset: 0,
1002 |                 //             color: 'rgba(0, 216, 135, 0.4)'
1003 |                 //         }, {
1004 |                 //             offset: 0.8,
1005 |                 //             color: 'rgba(0, 216, 135, 0.1)'
1006 |                 //         }], false),
1007 |                 //         shadowColor: 'rgba(0, 0, 0, 0.1)'
1008 |                 //     },
1009 |                 //     itemStyle: {
1010 |                 //         color: '#00d887',
1011 |                 //         borderColor: 'rgba(221, 220, 107, .1)',
1012 |                 //         borderWidth: 12
1013 |                 //     },
1014 |                 //     data: [5, 3, 5, 6, 1, 5, 3, 5, 6, 4, 6, 4, 8, 3, 5, 6, 1, 5, 3, 7, 2, 5, 1, 4]
1015 |                 // }
1016 |             ]
1017 |         };
1018 | 
1019 |         // 使用刚指定的配置项和数据显示图表。
1020 |         myChart.setOption(option);
1021 |         window.addEventListener("resize", function () {
1022 |             myChart.resize();
1023 |         });
1024 |     }
1025 | 
1026 |     function echarts_6(data) {
1027 |         var myChart = echarts.init(document.getElementById('echart6'));
1028 |         var option = {
1029 |             color: ['#0f63d6', '#0f78d6', '#0f8cd6', '#0fa0d6', '#0fb4d6'],
1030 |             tooltip: {},
1031 |             legend: {
1032 |                 data:["直接访问","邮件营销","联盟广告","视频广告","搜索引擎"],
1033 |                 // data: data['echart_6']['x_name'],
1034 |                 textStyle: {
1035 |                     color: 'rgba(255,255,255,.5)',
1036 |                     // fontSize: '12'
1037 |                 }
1038 |             },
1039 |             series: [
1040 |                 {
1041 |                     type: 'pie',
1042 |                     radius: '55%',
1043 |                     center: ['50%', '70%'],
1044 |                     data:[
1045 |                         {name:'直接访问',value:335},
1046 |                         {name:'邮件营销',value:720},
1047 |                         {value:135,name:"联盟广告"},
1048 |                         {value:500,name:"视频广告"},
1049 |                         {value:235,name:"搜索引擎"}
1050 |                     ],
1051 |                     // data: data['echart_6']['data'],
1052 |                     roseType: 'radius',
1053 |                 }
1054 |             ]
1055 |         };
1056 |         myChart.setOption(option)
1057 |     }
1058 | 
1059 |     function echarts_31(data) {
1060 |         // 基于准备好的dom，初始化echarts实例
1061 |         var myChart = echarts.init(document.getElementById('fb1'));
1062 |         option = {
1063 | 
1064 |             title: [{
1065 |                 text: '融资情况',
1066 |                 left: 'center',
1067 |                 textStyle: {
1068 |                     color: '#fff',
1069 |                     fontSize: '16'
1070 |                 }
1071 | 
1072 |             }],
1073 |             tooltip: {
1074 |                 trigger: 'item',
1075 |                 formatter: "{a} <br/>{b}: {c} ({d}%)",
1076 |                 position: function (p) {   //其中p为当前鼠标的位置
1077 |                     return [p[0] + 10, p[1] - 10];
1078 |                 }
1079 |             },
1080 |             legend: {
1081 |                 top: '70%',
1082 |                 itemWidth: 10,
1083 |                 itemHeight: 10,
1084 |                 // data: ['融资一', '融资二', '融资三', '融资四', '融资五'],
1085 |                 data: data['echart_31']['x_name'],
1086 |                 textStyle: {
1087 |                     color: 'rgba(255,255,255,.5)',
1088 |                     fontSize: '12'
1089 |                 }
1090 |             },
1091 |             series: [
1092 |                 {
1093 |                     name: '融资情况',
1094 |                     type: 'pie',
1095 |                     center: ['50%', '42%'],
1096 |                     radius: ['40%', '60%'],
1097 |                     color: ['#065aab', '#066eab', '#0682ab', '#0696ab', '#06a0ab', '#06b4ab', '#06c8ab', '#06dcab', '#06f0ab'],
1098 |                     label: {show: false},
1099 |                     labelLine: {show: false},
1100 |                     data: data['echart_31']['data']
1101 |                     // data: [
1102 |                     //     {value: 1, name: '融资一'},
1103 |                     //     {value: 4, name: '融资二'},
1104 |                     //     {value: 2, name: '融资三'},
1105 |                     //     {value: 2, name: '融资四'},
1106 |                     //     {value: 1, name: '融资五'}
1107 |                     // ]
1108 |                 }
1109 |             ]
1110 |         };
1111 | 
1112 |         // 使用刚指定的配置项和数据显示图表。
1113 |         myChart.setOption(option);
1114 |         window.addEventListener("resize", function () {
1115 |             myChart.resize();
1116 |         });
1117 |     }
1118 | 
1119 |     function echarts_32(data) {
1120 |         // 基于准备好的dom，初始化echarts实例
1121 |         var myChart = echarts.init(document.getElementById('fb2'));
1122 |         option = {
1123 | 
1124 |             title: [{
1125 |                 text: '公司规模',
1126 |                 left: 'center',
1127 |                 textStyle: {
1128 |                     color: '#fff',
1129 |                     fontSize: '16'
1130 |                 }
1131 | 
1132 |             }],
1133 |             tooltip: {
1134 |                 trigger: 'item',
1135 |                 formatter: "{a} <br/>{b}: {c} ({d}%)",
1136 |                 position: function (p) {   //其中p为当前鼠标的位置
1137 |                     return [p[0] + 10, p[1] - 10];
1138 |                 }
1139 |             },
1140 |             legend: {
1141 |                 top: '70%',
1142 |                 itemWidth: 10,
1143 |                 itemHeight: 10,
1144 |                 // data: ['规模一', '规模二', '规模三', '规模四', '规模五', '规模六'],
1145 |                 data: data['echart_32']['x_name'],
1146 |                 textStyle: {
1147 |                     color: 'rgba(255,255,255,.5)',
1148 |                     fontSize: '12'
1149 |                 }
1150 |             },
1151 |             series: [
1152 |                 {
1153 |                     name: '公司规模',
1154 |                     type: 'pie',
1155 |                     center: ['50%', '42%'],
1156 |                     radius: ['40%', '60%'],
1157 |                     color: ['#065aab', '#066eab', '#0682ab', '#0696ab', '#06a0ab', '#06b4ab', '#06c8ab', '#06dcab', '#06f0ab'],
1158 |                     label: {show: false},
1159 |                     labelLine: {show: false},
1160 |                     data: data['echart_32']['data']
1161 |                     // data: [
1162 |                     //     {value: 5, name: '规模一'},
1163 |                     //     {value: 1, name: '规模二'},
1164 |                     //     {value: 6, name: '规模三'},
1165 |                     //     {value: 2, name: '规模四'},
1166 |                     //     {value: 1, name: '规模五'},
1167 |                     //     {value: 1, name: '规模六'}
1168 |                     // ]
1169 |                 }
1170 |             ]
1171 |         };
1172 | 
1173 |         // 使用刚指定的配置项和数据显示图表。
1174 |         myChart.setOption(option);
1175 |         window.addEventListener("resize", function () {
1176 |             myChart.resize();
1177 |         });
1178 |     }
1179 | 
1180 |     function echarts_33(data) {
1181 |         // 基于准备好的dom，初始化echarts实例
1182 |         var myChart = echarts.init(document.getElementById('fb3'));
1183 |         option = {
1184 |             title: [{
1185 |                 text: '岗位要求',
1186 |                 left: 'center',
1187 |                 textStyle: {
1188 |                     color: '#fff',
1189 |                     fontSize: '16'
1190 |                 }
1191 | 
1192 |             }],
1193 |             tooltip: {
1194 |                 trigger: 'item',
1195 |                 formatter: "{a} <br/>{b}: {c} ({d}%)",
1196 |                 position: function (p) {   //其中p为当前鼠标的位置
1197 |                     return [p[0] + 10, p[1] - 10];
1198 |                 }
1199 |             },
1200 |             legend: {
1201 |                 top: '70%',
1202 |                 itemWidth: 10,
1203 |                 itemHeight: 10,
1204 |                 // data: ['要求一', '要求二', '要求三', '要求四', '要求五', '要求六'],
1205 |                 data: data['echart_33']['x_name'],
1206 |                 textStyle: {
1207 |                     color: 'rgba(255,255,255,.5)',
1208 |                     fontSize: '12'
1209 |                 }
1210 |             },
1211 |             series: [
1212 |                 {
1213 |                     name: '岗位要求',
1214 |                     type: 'pie',
1215 |                     center: ['50%', '42%'],
1216 |                     radius: ['40%', '60%'],
1217 |                     color: ['#065aab', '#066eab', '#0682ab', '#0696ab', '#06a0ab', '#06b4ab', '#06c8ab', '#06dcab', '#06f0ab'],
1218 |                     label: {show: false},
1219 |                     labelLine: {show: false},
1220 |                     // data: [
1221 |                     //     {value: 2, name: '要求一'},
1222 |                     //     {value: 3, name: '要求二'},
1223 |                     //     {value: 1, name: '要求三'},
1224 |                     //     {value: 4, name: '要求四'},
1225 |                     //     {value: 8, name: '要求五'},
1226 |                     //     {value: 1, name: '要求六'}
1227 |                     // ]
1228 |                     data: data['echart_33']['data']
1229 |                 }
1230 |             ]
1231 |         };
1232 | 
1233 |         // 使用刚指定的配置项和数据显示图表。
1234 |         myChart.setOption(option);
1235 |         window.addEventListener("resize", function () {
1236 |             myChart.resize();
1237 |         });
1238 |     }
1239 | })
1240 | ;


--------------------------------------------------------------------------------
/frontend/static/js/china.js:
--------------------------------------------------------------------------------
 1 | (function (root, factory) {
 2 |     if (typeof define === 'function' && define.amd) {
 3 |         // AMD. Register as an anonymous module.
 4 |         define(['exports', 'echarts'], factory);
 5 |     } else if (typeof exports === 'object' && typeof exports.nodeName !== 'string') {
 6 |         // CommonJS
 7 |         factory(exports, require('echarts'));
 8 |     } else {
 9 |         // Browser globals
10 |         factory({}, root.echarts);
11 |     }
12 | }(this, function (exports, echarts) {
13 |     var log = function (msg) {
14 |         if (typeof console !== 'undefined') {
15 |             console && console.error && console.error(msg);
16 |         }
17 |     }
18 |     if (!echarts) {
19 |         log('ECharts is not Loaded');
20 |         return;
21 |     }
22 |     if (!echarts.registerMap) {
23 |         log('ECharts Map is not loaded')
24 |         return;
25 |     }
26 |    echarts.registerMap('china1', 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