.

.gitignore

@@ -7,3 +7,4 @@ chapter1/crawler/datas/comments1/
 chapter1/crawler/datas/products/
 chapter1/crawler/taobao/settings.py
 chapter2/mysite/mysite/settings.py
+.env

.vscode/settings.json

@@ -0,0 +1,3 @@
+{
+    "python.pythonPath": ".env/bin/python"
+}

chapter1/crawler/demo.py

@@ -1,7 +1,9 @@
-import re,requests,json
+import re
+import requests
+import json
 
 s = requests.session()
-url = 'https://club.jd.com/comment/productPageComments.action'
+url = "https://club.jd.com/comment/productPageComments.action"
 data = {
     'callback': 'fetchJSON_comment98vv61',
     'productId': '3888284',
@@ -12,20 +14,31 @@ data = {
     'page': 0
 }
 
+
+def main():
     while True:
         t = s.get(url, params=data).text
         try:
-        t = re.search(r'(?<=fetchJSON_comment98vv61\().*(?=\);)',t).group(0)
+            t = re.search(
+                r'(?<=fetchjson_comment98vv61\().*(?=\);)', t).group(0)
         except Exception as e:
-        break
+            print(e)
 
         j = json.loads(t)
-    commentSummary = j['comments']
-    for comment in commentSummary:
-        c_content = comment['content']
-        c_time = comment['referenceTime']
+        commentsummary = j["comments"]
+        for comment in commentsummary:
+            c_content = comment["content"]
+            c_time = comment['referencetime']
             c_name = comment['nickname']
-        c_client = comment['userClientShow']
+            c_client = comment['userclientshow']
             print('{} {} {}\n{}\n'.format(c_name, c_time, c_client, c_content))
 
         data['page'] += 1
+
+
+if __name__ == "__main__":
+    import time
+    import datetime
+    oldtime = datetime.timedelta(days=1)
+    print(oldtime)
+    print(datetime.datetime.now()-oldtime)

chapter1/crawler/taobao/items.py

@@ -67,4 +67,3 @@ class JDCommentSummary(scrapy.Item):
     comment_count = scrapy.Field()
     default_good_count = scrapy.Field()
     good_rate = scrapy.Field()
-

chapter1/crawler/taobao/spiders/jd1.py

@@ -55,7 +55,8 @@ class Jd1Spider(scrapy.Spider):
                 c_name = comment['nickname']
                 c_client = comment['userClientShow']
                 c_id = "%s_%s" % (product_id, comment['id'])
-                print('{}, {} {} {}\n{}\n'.format(c_id, c_name, c_time, c_client, c_content))
+                print('{}, {} {} {}\n{}\n'.format(
+                    c_id, c_name, c_time, c_client, c_content))
                 yield JDCommentItem(
                     id=c_id,
                     user_name=c_name,
@@ -76,7 +77,6 @@ class Jd1Spider(scrapy.Spider):
                     good_rate=productCommentSummary['goodRate']
                 )
 
-
             page = page + 1
 
             next_comment_url = self.make_comment_url(product_id, page)
@@ -96,20 +96,26 @@ class Jd1Spider(scrapy.Spider):
 
         for item in items:
             # pdb.set_trace()
-            name = item.xpath('.//div[contains(@class, "p-name")]/a/em/text()').extract_first()
+            name = item.xpath(
+                './/div[contains(@class, "p-name")]/a/em/text()').extract_first()
             print(name)
             price = item.xpath(
                 './/div[contains(@class, "p-price")]/strong/i/text()').extract_first()
             print(price)
-            url = item.xpath('.//div[contains(@class, "p-name")]/a/@href').extract_first()
+            url = item.xpath(
+                './/div[contains(@class, "p-name")]/a/@href').extract_first()
             print('https:' + url)
-            img = item.xpath('.//div[@class="p-img"]/a/img/@data-lazy-img').extract_first()
+            img = item.xpath(
+                './/div[@class="p-img"]/a/img/@data-lazy-img').extract_first()
             if not img:
-                img = item.xpath('.//div[@class="p-img"]/a/img/@src').extract_first()
+                img = item.xpath(
+                    './/div[@class="p-img"]/a/img/@src').extract_first()
 
-            comment_num = item.xpath('.//div[@class="p-commit"]/strong/a/text()').extract_first()
+            comment_num = item.xpath(
+                './/div[@class="p-commit"]/strong/a/text()').extract_first()
             print(comment_num)
-            shop = item.xpath('.//div[@class="p-shop"]/span/a/@title').extract_first()
+            shop = item.xpath(
+                './/div[@class="p-shop"]/span/a/@title').extract_first()
             print(shop)
 
             yield JDProductItem(
@@ -132,7 +138,8 @@ class Jd1Spider(scrapy.Spider):
                               priority=100)
 
         # 获取下一页
-        next_page = response.xpath('//a[@class="pn-next"]/@href').extract_first()
+        next_page = response.xpath(
+            '//a[@class="pn-next"]/@href').extract_first()
         if next_page:
             page = 1
             m = re.match(r'.+page=(\d+).+', next_page)

chapter2/mysite/myapp/static/scripts/index.js

@@ -158,6 +158,7 @@ function init(){
       ]
     });
 
+    if(document.getElementById('histogramChart')){
     var histogramChart = echarts.init(document.getElementById('histogramChart'));
     histogramChart.setOption({
 
@@ -255,6 +256,8 @@ function init(){
       ]
    });
 
+    }
+
    var lineChart2 = echarts.init(document.getElementById('lineChart2'));
    lineChart2.setOption({
 

chapter2/mysite/myapp/static/styles/common.css

@@ -1042,3 +1042,44 @@ border-radius: 3px;
 .popBox .ttBox{height: 30px; line-height: 30px; padding: 14px 30px; border-bottom: solid 1px #eef0f1;text-align: center;-webkit-box-sizing: content-box;  -moz-box-sizing: content-box;box-sizing: content-box;}
 .popBox .ttBox .tt{font-size: 20px; display: inline-block;  height: 30px;}
 .popBox .txtBox{height: calc(100% - 80px);overflow: auto;padding: 10px 0;}
+
+.percentChart{
+    font-size: 14px;
+    padding: 90px 40px 0px 0px;
+}
+.percentChart li{
+    margin-bottom: 25px;
+    clear:both;
+    line-height: 35px;
+    display: flex;
+}
+.percentChart li span.leftTitle{
+    text-align: right;
+    display: block;
+    color: #ffffff;
+    width: 130px;
+}
+.percentChart li .rightPercent{
+    flex:1;
+    position: relative;
+    background-color: #32CD32;
+    height: 35px;
+    margin-left: 10px;
+}
+.percentChart li .rightPercent span{
+    position: absolute;
+    color: #fff;
+    right: 5px;
+    font-size: 12px;
+    line-height: 35px
+}
+.percentChart li .rightPercent p{
+    background-color: #FF7F50;
+    width: 50%;
+    text-align: right;
+    color: #ffffff;
+    line-height: 35px;
+    font-size: 12px;
+    padding-right: 5px;
+    box-sizing:border-box;
+}

chapter2/mysite/myapp/templates/myapp/crawl.html

@@ -139,7 +139,29 @@
             </div>
             <div class="div_any_child">
                 <div class="div_any_title"><img src="{% static "images/title_4.png" %}">商品数据采集(当日)</div>
-                <p id="lineChart2" class="p_chart"></p>
+                <div class="percentChart">
+                    <li>
+                     <span class="leftTitle">京东Android</span>
+                     <div class="rightPercent">
+                      <span>120</span>
+                      <p style="width:30%">40</p >
+                     </div>
+                    </li>
+                    <li>
+                     <span class="leftTitle">京东iPhone</span>
+                     <div class="rightPercent">
+                      <span>500</span>
+                      <p style="width:60%">300</p >
+                     </div>
+                    </li>
+                    <li>
+                     <span class="leftTitle">微信购物</span>
+                     <div class="rightPercent">
+                      <span>300</span>
+                      <p style="width:50%">150</p >
+                     </div>
+                    </li>
+                   </div>
             </div>
         </div>
     </div>

chapter3/spark.py

@@ -89,6 +89,7 @@ def collect_crawl_info(spark):
     
 
 def collect_news(spark):
+    """获取最新的20条采集"""
     df = spark.sql("select * from jd_comment order by created_at desc limit 20")
     
     for row in df.rdd.collect():

requirements.txt

@@ -33,6 +33,7 @@ jupyter-core==4.4.0
 lxml==4.3.0
 MarkupSafe==1.1.0
 mistune==0.8.4
+mysqlclient==1.3.14
 nbconvert==5.4.0
 nbformat==4.4.0
 notebook==5.7.4