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Colleges_and_sql.py
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from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
import re
import requests
from bs4 import BeautifulSoup
import json
from models import Colleges
# engine = create_engine("数据库类型+数据库驱动://数据库用户名:数据库密码@IP地址:端口号/数据库?编码...", 其它参数)
# engine = create_engine("mysql+pymysql://root:123456@localhost:3306/collegesandmajors",echo=True)
def AddColleges(url, headers, i):
engine = create_engine("mysql+pymysql://root:123456@localhost:3306/collegesandmajors", echo=True)
Session = sessionmaker(bind=engine)
session = Session()
global colleges
response = requests.get(url + str(i), headers=headers)
if response.ok:
content = response.text
soup = BeautifulSoup(content, "html.parser")
# 创建实例化对象
colleges = Colleges()
"""
获取**CollegeName**：学校名称，非空
"""
CollegeName_div = soup.find("div", attrs={"class": "color-222 font-24 font-bold flex col-center"})
# 有的大学已经下线了？？？例如https://daxue.163.com/web/university/detail/902
if (CollegeName_div == None):
return 0
CollegeName = CollegeName_div.find("span")
colleges.CollegeName = CollegeName.string
if (session.query(Colleges).filter_by(CollegeName=colleges.CollegeName).first() is not None):
return 0
"""
**State**: 存储学校所省，非空
**City**: 存储学校所在城市，非空
**FoundedYear**: 存储学校成立的年份
"""
div = soup.find("div", attrs={"class": "location_OhFXc"})
all_span = div.findAll("span")
# 有的学校没有创立时间
if len(all_span) == 1:
# 浙江·台州市
str_ = all_span[0].string
parts = str_.split("·")
State = parts[0]
City = parts[1]
colleges.State = State
colleges.City = City
if len(all_span) == 2:
# 浙江·台州市
str_ = all_span[0].string
parts = str_.split("·")
State = parts[0]
City = parts[1]
colleges.State = State
colleges.City = City
# 提取年份
FoundedYear = re.findall(r'\d+', all_span[1].string)
colleges.FoundedYear = FoundedYear[0]
"""
**SchoolBadge**：校徽（地址）
"""
SchoolBadge_div = soup.find("div", attrs={"class": "flex-c-c logo_3oi3R"})
SchoolBadge = SchoolBadge_div.find("img")
colleges.SchoolBadge = SchoolBadge.get("src")
"""
**Label**：学校标签（综合，985，双一流），多个
"""
Label_div_s = soup.findAll("div", attrs={"class": "m-b-8 tags_AcZ9h"})
Label_span_arr = {}
index = 1
for Label_div in Label_div_s:
Label_span = Label_div.find("span")
Label_span_arr[index] = Label_span.string
index += 1
Label = json.dumps(Label_span_arr, ensure_ascii=False)
colleges.Label = Label
"""
**Website**: 存储学校官网地址
**ContactPhone**: 存储学校官方电话 ，多个
**ContactEmail**: 存储学校电子邮箱
"""
WCC_div_s = soup.findAll("div", attrs={"class": "contact_NVBwm"})
for WCC_div in WCC_div_s:
try:
Website = WCC_div.find("a").get("href")
colleges.Website = Website
except:
try:
phone_pattern = r'\d+-\d+'
matches = re.findall(phone_pattern, WCC_div.string)
if matches != []:
ContactPhone_arr = {}
index = 1
for match in matches:
ContactPhone_arr[index] = match
index += 1
ContactPhone = json.dumps(ContactPhone_arr, ensure_ascii=False)
colleges.ContactPhone = ContactPhone
else:
ContactEmail = re.search(r'\b\w+\@\w+\.\w+', WCC_div.string).group()
colleges.ContactEmail = ContactEmail
except:
print(print("请求失败,url为" + url + str(i)))
# WCC_div_s = soup.findAll("div", attrs={"class": "contact_NVBwm"})
# # 学校官网: https://www.pku.edu.cn//
# Website = WCC_div_s[0].find("a").get("href")
# colleges.Website = Website
# # 官方电话: 010-62751407,010-62554332
# phone_pattern = r'\d+-\d+'
# matches = re.findall(phone_pattern, WCC_div_s[1].string)
# ContactPhone_arr = {}
# index = 1
# for match in matches:
# ContactPhone_arr[index] = match
# index += 1
# ContactPhone = json.dumps(ContactPhone_arr, ensure_ascii=False)
# colleges.ContactPhone = ContactPhone
# # 电子邮箱: [email protected]
# ContactEmail = re.search(r'\b\w+\@\w+\.\w+', WCC_div_s[2].string).group()
# colleges.ContactEmail = ContactEmail
"""
**ScientificResearch**：科研实力（博士学位授权一级学科数等）
(科研学位名称：开设个数)
"""
ScientificResearch_div_s = soup.findAll("div", attrs={"class": "science-tab_-Y8go"})
ScientificResearch_arr = {}
for ScientificResearch_div in ScientificResearch_div_s:
ScientificResearch_div_num = ScientificResearch_div.find("div", attrs={"class": "num_Tg+Y-"})
ScientificResearch_div_num_i = ScientificResearch_div_num.find("i")
ScientificResearch_div_name = ScientificResearch_div.find("div", attrs={"class": "desc_LBlX8"})
ScientificResearch_arr[ScientificResearch_div_name.string] = ScientificResearch_div_num_i.string
ScientificResearch = json.dumps(ScientificResearch_arr, ensure_ascii=False)
colleges.ScientificResearch = ScientificResearch
"""
**ResearchInstitutes**：研究机构 ，多个
(实验室名称：实验室介绍)
"""
ResearchInstitutes_div_s = soup.findAll("div", attrs={"class": "m-t-10"})
ResearchInstitutes_arr = {}
for ResearchInstitutes_div in ResearchInstitutes_div_s:
ResearchInstitutes_div_name_span = ResearchInstitutes_div.find("div", attrs={
"class": "tags_AcZ9h tag-color_BjjHA"})
ResearchInstitutes_div_name = ResearchInstitutes_div_name_span.find("span")
ResearchInstitutes_div_span_s = ResearchInstitutes_div.findAll("span")
ResearchInstitutes_div_span_arr = ""
for ResearchInstitutes_div_span in ResearchInstitutes_div_span_s:
if ResearchInstitutes_div_span.string == ResearchInstitutes_div_name.string: continue
if ResearchInstitutes_div_span.string is None:
ResearchInstitutes_div_span_text = ResearchInstitutes_div_span.text
ResearchInstitutes_div_span_string_string = ResearchInstitutes_div_span_text.replace('\n',
'').replace(
' ', '')
else:
ResearchInstitutes_div_span_string = ResearchInstitutes_div_span.string
ResearchInstitutes_div_span_string_string = ResearchInstitutes_div_span_string.replace('\n',
'').replace(
' ', '')
ResearchInstitutes_div_span_arr += ResearchInstitutes_div_span_string_string
ResearchInstitutes_arr[ResearchInstitutes_div_name.string] = ResearchInstitutes_div_span_arr
ResearchInstitutes = json.dumps(ResearchInstitutes_arr, ensure_ascii=False)
colleges.ResearchInstitutes = ResearchInstitutes
"""
**Faculty**：师资力量
"""
Faculty_div = soup.find("div", attrs={"class": "content_TYLq3"})
if Faculty_div is not None:
Faculty = Faculty_div.find("span").string
colleges.Faculty = Faculty
"""
**Introduction**：学校简介
"""
Introduction_div = soup.find("div", attrs={"class": "show_uDsiS line-9"})
if Introduction_div is not None:
Introduction = Introduction_div.text
colleges.Introduction = Introduction
colleges.text()
session.add(colleges)
session.commit()
else:
with open('wrong_colleges.txt', 'a') as file:
file.write(url + str(i) + "学校基本信息错误")
file.write('\n')
return 0
return 1