1、django搜索路径
使用 import 语句时,Python 所查找的系统目录清单。
查看方式:
import sys
print sys.path
通常无需关心 Python 搜索路径的设置,Python 和 Django 会在后台自动帮你处理好。
2、url匹配模式
基本结构:
'^需要匹配的url字符串$'
PS:实际上最终完整的url串是http://根路径:端口号/需要匹配的url字符串
系统自动添加的部分'http://根路径:端口号/'
eg:url匹配模式:'^latest_books/$'
最终完整的url字符串:'http://127.0.0.1:8000/latest_books/'
1)^:匹配“子串头”。
eg:
'^latest_books/'
'http://127.0.0.1:8000/latest_books/',
'http://127.0.0.1:8000/latest_books/test1/',
'http://127.0.0.1:8000/latest_books/test2/',
'http://127.0.0.1:8000/latest_books/test1/aaa/'
都会被匹配上。
2)$:匹配“子串结尾”。
eg:
'latest_books/$'
'http://127.0.0.1:8000/latest_books/',
'http://127.0.0.1:8000/updir_1/latest_books/',
'http://127.0.0.1:8000/updir_2/latest_books/'
都会被匹配上。
3)子串末尾是否包含'/'
默认情况下必须添加(django开发者的基本习惯),如果不添加将会出现如下情况:
from django.conf.urls import patterns, url, include urlpatterns = patterns('',
(r'^latest_books$', 'django_web_app.views.latest_books'),
)
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" alt="" />
如果子串末尾不想包含'/',可在setting.py中添加设置:APPEND_SLASH=False
但是必须安装了CommonMiddleware才会起作用。
4)手动配置网站“根目录”
在不手动配置网站“根目录”对应“视图函数”的情况下,会出现如下情况:
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" alt="" />
手动配置“根目录”对应“视图函数”:
a)urls.py
from django.conf.urls import patterns, url, include urlpatterns = patterns('',
(r'^$','django_web_app.views.home_page'),
(r'^latest_books/$', 'django_web_app.views.latest_books'),
)
b)views.py
def home_page(request):
return render_to_response('home_page.html')
c)home_page.html
<!DOCTYPE html>
<html>
<head>
<title>my home page</title>
</head>
<body>
<h1>This is home page, welcome !</h1>
</body>
</html>
运行结果:
aaarticlea/png;base64,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" 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附:正则表达式基础
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" 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3、服务端响应url请求的执行顺序
1)项目结构
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" alt="" />
django_web
__init__.py
settings.py
urls.py
wsgi.py
django_web_app
__init__.py
admin.py
models.py
tests.py
views.py
templates
home_page.html
latest_books.html
manage.py
2)执行顺序
a)启动服务端——python manage.py runserver
获取setting.py文件中的配置,主要包括:
url映射关系文件路径:
ROOT_URLCONF = 'django_web.urls'
页面文件模板路径:
TEMPLATE_DIRS = (
os.path.join(BASE_DIR, 'templates'),
)
数据库配置:
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.mysql',
'NAME': 'django_db',
'USER': 'root',
'PASSWORD': 'feng',
'HOST': '127.0.0.1',
'PORT': '',
}
}
b)响应顺序
第一步:浏览器提交请求
http://127.0.0.1:8000/latest_books/
第二步:服务端根据请求的url在urls.py中进行匹配,并找到对应的“视图函数”
第三步:调用对应的“视图函数”
返回一个HttpResponse对象
第四步:django转换HttpResponse对象为一个适合的HTTP response,并返回给页面进行显示