diff --git a/Python程序设计课程设计报告.doc b/Python程序设计课程设计报告.doc
index 8894251..8068aa4 100644
Binary files a/Python程序设计课程设计报告.doc and b/Python程序设计课程设计报告.doc differ
diff --git a/TR/TrialRecommend/DataRequest.py b/TR/TrialRecommend/DataRequest.py
index e645994..ff85df0 100644
--- a/TR/TrialRecommend/DataRequest.py
+++ b/TR/TrialRecommend/DataRequest.py
@@ -1,5 +1,7 @@
import csv
import random
+import urllib.parse
+
from DrissionPage import ChromiumOptions
from DrissionPage import ChromiumPage
import time
@@ -24,9 +26,12 @@ class DataRequest:
self.csv_writer=csv.DictWriter(self.f,fieldnames=['文章ID','文章标题','喜欢数量','图片资源'])
#
self.keyword=keyword
- self.url='https://www.xiaohongshu.com/search_result?keyword='+self.keyword+'&type=51'
+
+ self.url=''
#数据
self.items=[]
+ #初始化URL编码
+ self.set_url()
#打开浏览器
self.drive=ChromiumPage()
self.drive.set.scroll.smooth(on_off=True)
@@ -37,6 +42,13 @@ class DataRequest:
self.drive.get(self.url)
self.dataRequest()
+
+ def set_url(self):
+ self.url = ('https://www.xiaohongshu.com/search_result?keyword=' + self.url_encode(self.keyword))
+ def url_encode(self, s):
+ """将字符串转化为URL编码"""
+ return urllib.parse.quote(s, safe='')
+
def clear_csv_file(self):
with open(self.data_csv_file_path, 'w') as file1: # 使用'w'模式打开文件
pass # 不需要执行任何操作，因为打开文件时内容已被清空
diff --git a/TR/TrialRecommend/Main.py b/TR/TrialRecommend/Main.py
index b24154f..2f69cb7 100644
--- a/TR/TrialRecommend/Main.py
+++ b/TR/TrialRecommend/Main.py
@@ -1,6 +1,7 @@
import csv
import os
import random
+import shutil
import tempfile
import time
import tkinter as tk
@@ -81,9 +82,9 @@ class Mainpage:
self.btn_liked = tk.Button(self.page, text='收藏攻略', bg='#D7EFFF',font=('SimHei',15,'bold'),command=self.func_collect)
self.btn_liked.place(relx=0.9, rely=0.2, relheight=0.05, relwidth=0.1)
-
- self.btn_dis_liked = tk.Button(self.page, text='取消收藏', bg='#D7EFFF',font=('SimHei',15,'bold'),command=self.func_discollect)
- self.btn_dis_liked.place(relx=0.9, rely=0.3, relheight=0.05, relwidth=0.1)
+ #
+ # self.btn_dis_liked = tk.Button(self.page, text='取消收藏', bg='#D7EFFF',font=('SimHei',15,'bold'),command=self.re)
+ # self.btn_dis_liked.place(relx=0.9, rely=0.3, relheight=0.05, relwidth=0.1)
self.lable_like=tk.Label(self.page,text='喜欢人数:'+self.likes,font=('SimHei',15,'bold'))
self.lable_like.place(relx=0.05, rely=0.93)
@@ -234,7 +235,7 @@ class Mainpage:
self.btn_pre = tk.Button(self.page2, text='上一篇', bg='#D7EFFF',font=('SimHei',15,'bold'),command=self.c_pre_data)
self.btn_pre.place(relx=0.45, rely=0.35, relheight=0.08, relwidth=0.09)
- self.btn_dis_liked = tk.Button(self.page2, text='取消收藏', bg='#D7EFFF',font=('SimHei',15,'bold'),command=self.func_discollect)
+ self.btn_dis_liked = tk.Button(self.page2, text='取消收藏', bg='#D7EFFF',font=('SimHei',15,'bold'),command=self.remove_rows_with_content)
self.btn_dis_liked.place(relx=0.9, rely=0.3, relheight=0.05, relwidth=0.1)
def notes_request(self,next_back):
@@ -528,6 +529,7 @@ class Mainpage:
for row in reader:
if i==self.current_data_index:
dic['文章内容']=row[1]
+ i+=1
with open('collections/{}.csv'.format(self.user),'a+',encoding='utf-8',newline='') as f:
writer = csv.DictWriter(f, fieldnames=['文章ID','文章标题','图片资源','文章内容'])
@@ -560,7 +562,26 @@ class Mainpage:
# 将临时文件重命名为原始文件名
os.rename(temp.name, 'collections/{}.csv'.format(self.user))
+ def remove_rows_with_content(self):
+ dis_collect.dis_collec(self.user, self.c_data_index)
+
+ # 创建一个临时文件
+ with tempfile.NamedTemporaryFile(mode='w', delete=False,encoding='utf-8',newline='') as tmpfile:
+ # 打开原始文件并读取内容
+ with open('collections/{}.csv'.format(self.user), 'r', newline='',encoding='utf-8') as infile:
+ reader = csv.reader(infile)
+ writer = csv.writer(tmpfile)
+
+ # 遍历每一行，如果不包含指定内容则写入临时文件
+ i=0
+ for row in reader:
+ if self.c_data_index != i:
+ writer.writerow(row)
+ i+=1
+ # 替换原始文件为临时文件
+ tmpfile.close()
+ shutil.move(tmpfile.name, 'collections/{}.csv'.format(self.user))
if __name__ == '__main__':
root = tk.Tk()
diff --git a/TR/TrialRecommend/Notes_Request.py b/TR/TrialRecommend/Notes_Request.py
index 6763321..a62c2e0 100644
--- a/TR/TrialRecommend/Notes_Request.py
+++ b/TR/TrialRecommend/Notes_Request.py
@@ -15,15 +15,15 @@ def notes_request(url):
'Referer':'https://www.xiaohongshu.com',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36'}
cookies = {
- 'abRequestId':'a3c8a855-ed85-57f6-91fe-3e0acedffde8',
- 'a1':'18f9b67ecdbh41bri2la0dgguminrd7dmmrk4pxf750000215521',
- 'webId':'6d97ebd3e6051489537e7a6aa1d1cf99',
- 'gid':'yYijDKYydJ6JyYijDKWdS6UCfDx4yDF3J108FiWfkk763T28IFfWf4888Jy22Jy8WYf0SyjD',
- 'webBuild':'4.17.2',
- 'web_session':'040069b3643d32585fff79ee79344bd4b89bc6',
- 'acw_tc':'459a6388281f21d6215ff80f1402afbfdf47eb5a1ef949b426ace99565a6fc50',
- 'websectiga':'7750c37de43b7be9de8ed9ff8ea0e576519e8cd2157322eb972ecb429a7735d4',
- 'sec_poison_id':'b1e1329b-735f-427c-bfd0-698a912c0366',
+ 'abRequestId':'a1d1855c-4c32-5307-a9f1-9d3f34a192cf',
+ 'a1':'1900bc790f5y2g9t1mkcnviv0sy4y0pfv4afgtuj250000186611',
+ 'webId':'b7d9160688e1684d896a4dc0dab65e36',
+ 'gid':'yj88DSWfdJhjyj88DSWj8497i2vJkj9y6TSI0VJh3h8Mvi284v8Uik888yYKKyy8Wq48fY4i',
+ 'webBuild':'4.20.1',
+ 'web_session':'040069b3643d32585fffe2225c344b136354be',
+ 'acw_tc':'5a6bd4ac6c786b806cb96212649c76bb7a0ac62792834403c50f508645293c50',
+ 'websectiga':'3633fe24d49c7dd0eb923edc8205740f10fdb18b25d424d2a2322c6196d2a4ad',
+ 'sec_poison_id':'b2862aa3-62f2-48ce-9b27-2a44baa4b714',
'xsecappid':'xhs-pc-web'
}
diff --git a/TR/TrialRecommend/TF_IDF.py b/TR/TrialRecommend/TF_IDF.py
index c2e4d97..7942e8e 100644
--- a/TR/TrialRecommend/TF_IDF.py
+++ b/TR/TrialRecommend/TF_IDF.py
@@ -1,5 +1,4 @@
import csv
-
import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
@@ -7,16 +6,12 @@ from sklearn.metrics.pairwise import cosine_similarity
def tf_idf(items, user):
# 数据载入
articles = items
-
df = pd.DataFrame(articles)
-
# 提取TF-IDF特征
tfidf_vectorizer = TfidfVectorizer()
tfidf_matrix = tfidf_vectorizer.fit_transform(df['content'])
-
# 计算余弦相似度
cosine_sim = cosine_similarity(tfidf_matrix, tfidf_matrix)
-
# 根据相似度推荐
def recommend_articles(article_id, user, cosine_sim=cosine_sim):
sim_scores = list(enumerate(cosine_sim[article_id - 1]))
@@ -28,6 +23,5 @@ def tf_idf(items, user):
for j in article_indices:
write.writerow(items[j])
-
# 推荐与文章ID为1的旅游攻略相似的文章
recommend_articles(1,user)
\ No newline at end of file
diff --git a/TR/TrialRecommend/__pycache__/DataRequest.cpython-312.pyc b/TR/TrialRecommend/__pycache__/DataRequest.cpython-312.pyc
index cd7e1a3..a1f9174 100644
Binary files a/TR/TrialRecommend/__pycache__/DataRequest.cpython-312.pyc and b/TR/TrialRecommend/__pycache__/DataRequest.cpython-312.pyc differ
diff --git a/TR/TrialRecommend/__pycache__/Main.cpython-312.pyc b/TR/TrialRecommend/__pycache__/Main.cpython-312.pyc
index d7f8231..2e80692 100644
Binary files a/TR/TrialRecommend/__pycache__/Main.cpython-312.pyc and b/TR/TrialRecommend/__pycache__/Main.cpython-312.pyc differ
diff --git a/TR/TrialRecommend/__pycache__/Notes_Request.cpython-312.pyc b/TR/TrialRecommend/__pycache__/Notes_Request.cpython-312.pyc
index f1e65ca..e5fae00 100644
Binary files a/TR/TrialRecommend/__pycache__/Notes_Request.cpython-312.pyc and b/TR/TrialRecommend/__pycache__/Notes_Request.cpython-312.pyc differ
diff --git a/TR/TrialRecommend/__pycache__/TF_IDF.cpython-312.pyc b/TR/TrialRecommend/__pycache__/TF_IDF.cpython-312.pyc
index e40eae3..eb961b9 100644
Binary files a/TR/TrialRecommend/__pycache__/TF_IDF.cpython-312.pyc and b/TR/TrialRecommend/__pycache__/TF_IDF.cpython-312.pyc differ
diff --git a/TR/TrialRecommend/collections/123.csv b/TR/TrialRecommend/collections/123.csv
new file mode 100644
index 0000000..c08f976
--- /dev/null
+++ b/TR/TrialRecommend/collections/123.csv
@@ -0,0 +1 @@
+652e1987000000001a01728c,上海CityWalk丨花一天时间打卡经典路线‼️,"['http://sns-webpic-qc.xhscdn.com/202406121747/5d91eba5a30122575b2c4146228f05ae/1040g2sg30qamrg2c7m305o2pk3s08c1iul9cau0!nc_n_webp_mw_1', 'http://sns-webpic-qc.xhscdn.com/202406121747/acd054cac0306a40b3017b83b965aaae/1040g2sg30qamrg2c7m0g5o2pk3s08c1id68puj0!nc_n_webp_mw_1', 'http://sns-webpic-qc.xhscdn.com/202406121747/8a44ffaff123d9ac7cc8ce59804813cc/1040g2sg30qamrg2c7m105o2pk3s08c1irrp23qo!nc_n_webp_mw_1', 'http://sns-webpic-qc.xhscdn.com/202406121747/c838f8b3d6b4937fc9eb443eb9439a42/1040g2sg30qamrg2c7m005o2pk3s08c1ih4ij41g!nc_n_webp_mw_1', 'http://sns-webpic-qc.xhscdn.com/202406121747/a1091a8d90a659eb78aeeba1c27c11a0/1040g2sg30qamrg2c7m1g5o2pk3s08c1ierqbkeg!nc_n_webp_mw_1', 'http://sns-webpic-qc.xhscdn.com/202406121747/52484f0b10916edfec05be159b17b35c/1040g2sg30qamrg2c7m205o2pk3s08c1iinbrhl8!nc_n_webp_mw_1', 'http://sns-webpic-qc.xhscdn.com/202406121747/def3baa4ab87428dd9f7668c0e4a0d5b/1040g2sg30qamrg2c7m2g5o2pk3s08c1ivce38f8!nc_n_webp_mw_1', 'http://sns-webpic-qc.xhscdn.com/202406121747/720636b2cd678875f60aff8c59ac8bda/1040g2sg30qamrg2c7m3g5o2pk3s08c1i07b4gb0!nc_n_webp_mw_1', 'http://sns-webpic-qc.xhscdn.com/202406121747/422b9900a3da1949703eed0b17645597/1040g2sg30qamrg2c7m405o2pk3s08c1ira5no60!nc_n_webp_mw_1', 'http://sns-webpic-qc.xhscdn.com/202406121747/b7fb32de5dc7ef70ac09d95884107cd7/1040g2sg30qamrg2c7m4g5o2pk3s08c1iuenb4no!nc_n_webp_mw_1']",上海总要来一趟吧
确实好拍又好逛
如果你只有周末有时间
可以看看我总结的这篇一日游攻略
主打一个花zui少的时间
逛完zui经典的上海
.
✅CityWalk路线
武康大楼—武康路/长乐路—静安寺—陆家嘴三件套—轮渡—外滩(白天)—豫园/城隍庙—南京路步行街—外滩(夜景)
.
1️⃣武康大楼
🚈地铁10、11号线交通大学站7号口出
作为上海地标建筑之一，超火的网红打卡点，始建于1924年，中国历史文化名街，附近有【宋庆龄故居】选择性游玩（🎫20r）
.
2️⃣武康路/长乐路
比较有上海当地人文气息的宝藏徒步路线，一路可以逛吃不停，街边都是梧桐树，秋天的梧桐树不用我说了吧！氛围感拉满，还有好多爆火的网红店都在这条路线上
.
3️⃣静安寺
作为上海zui古老的寺庙，琉璃金瓦的古塔建筑被现代化建筑包围，碰撞出了别致的美感
🎫50，如果不是特意要去拜佛可以不去，zui佳打卡机位在对面人行天桥上，（如果到饭点了，可以在静安寺站这附近吃，楼下有商场）
.
4️⃣陆家嘴三件套
📍导航【金茂君悦大酒店】，地铁静安寺站乘至陆家嘴站8号口出
📷zui佳拍摄机位需要站在花坛边缘，zui容易拍的方式是手机打开广角，手机就放在脚下，摆好动作定时拍摄
.
5️⃣轮渡—外滩（白天）
🛥2块钱看尽黄浦江两岸风景
打卡完三件套，步行至【东昌路渡口】，乘坐轮渡到【金陵东路渡口】，2块钱坐上轮渡，到了外滩就是上海zui核心的地标了，这里有万国建筑群，对面就是东方明珠群像
.
6️⃣豫园/城隍庙（选择性游玩）
豫园🎫30r/城隍庙10r（商业街免费）
豫园是拥有四百多年历史的江南园林，纸醉金迷上海滩的一处世外桃源，一草一木都不输苏州园林，城隍庙就在豫园隔壁，蛮好逛的
.
7️⃣南京路步行街
上海zui具代表性的商业街区，非常适合逛吃，东方明珠的打卡机位也穿插在各个街道
.
8️⃣外滩（夜景）
来上海怎么能不看外滩夜景呢！金黄色的万国建筑群和对岸东方明珠建筑群无不展示了现代都市美
.
📍交通
🚈高铁杭州东-上海虹桥站
✅游玩路线以地铁+步行为主
地铁可以刷zfb或者下载Metro大都会app
.
diff --git a/TR/TrialRecommend/collections/Null.csv b/TR/TrialRecommend/collections/Null.csv
new file mode 100644
index 0000000..e69de29
diff --git a/TR/abc.py b/TR/abc.py
new file mode 100644
index 0000000..4604621
--- /dev/null
+++ b/TR/abc.py
@@ -0,0 +1,12 @@
+import urllib.parse
+
+
+def url_encode(s):
+ """将字符串转化为URL编码"""
+ return urllib.parse.quote(s, safe='')
+
+
+# 示例
+input_string = input("请输入要编码的字符串：")
+encoded_string = url_encode(input_string)
+print(encoded_string)
\ No newline at end of file