Flask之請求鉤子的實(shí)現(xiàn)
請求鉤子
通過裝飾器為一個(gè)模塊添加請求鉤子, 對當(dāng)前模塊的請求進(jìn)行額外的處理. 比如權(quán)限驗(yàn)證.
說白了,就是在執(zhí)行視圖函數(shù)前后你可以進(jìn)行一些處理,F(xiàn)lask使用裝飾器為我們提供了注冊通用函數(shù)的功能。
1、before_first_request:在處理第一個(gè)請求前執(zhí)行
before_first_request
在對應(yīng)用程序?qū)嵗牡谝粋€(gè)請求之前注冊要運(yùn)行的函數(shù), 只會執(zhí)行一次
#: A lists of functions that should be called at the beginning of the
#: first request to this instance. To register a function here, use
#: the :meth:`before_first_request` decorator.
#:
#: .. versionadded:: 0.8
self.before_first_request_funcs = []
@setupmethod
def before_first_request(self, f):
"""Registers a function to be run before the first request to this
instance of the application.
.. versionadded:: 0.8
"""
self.before_first_request_funcs.append(f)
將要運(yùn)行的函數(shù)存放到before_first_request_funcs 屬性中進(jìn)行保存
2、before_request:在每次請求前執(zhí)行
在每個(gè)請求之前注冊一個(gè)要運(yùn)行的函數(shù), 每一次請求都會執(zhí)行
#: A dictionary with lists of functions that should be called at the
#: beginning of the request. The key of the dictionary is the name of
#: the blueprint this function is active for, `None` for all requests.
#: This can for example be used to open database connections or
#: getting hold of the currently logged in user. To register a
#: function here, use the :meth:`before_request` decorator.
self.before_request_funcs = {}
@setupmethod
def before_request(self, f):
"""Registers a function to run before each request."""
self.before_request_funcs.setdefault(None, []).append(f)
return f
將要運(yùn)行的函數(shù)存放在字典中, None 為鍵的列表中存放的是整個(gè)應(yīng)用的所有請求都要運(yùn)行的函數(shù).
3、after_request:每次請求之后調(diào)用,前提是沒有未處理的異常拋出
在每個(gè)請求之后注冊一個(gè)要運(yùn)行的函數(shù), 每次請求都會執(zhí)行. 需要接收一個(gè) Response 類的對象作為參數(shù) 并返回一個(gè)新的Response 對象 或者 直接返回接受到的Response 對象
#: A dictionary with lists of functions that should be called after
#: each request. The key of the dictionary is the name of the blueprint
#: this function is active for, `None` for all requests. This can for
#: example be used to open database connections or getting hold of the
#: currently logged in user. To register a function here, use the
#: :meth:`after_request` decorator.
self.after_request_funcs = {}
@setupmethod
def after_request(self, f):
"""Register a function to be run after each request. Your function
must take one parameter, a :attr:`response_class` object and return
a new response object or the same (see :meth:`process_response`).
As of Flask 0.7 this function might not be executed at the end of the
request in case an unhandled exception occurred.
"""
self.after_request_funcs.setdefault(None, []).append(f)
return f
4、teardown_request:每次請求之后調(diào)用,即使有未處理的異常拋出
注冊一個(gè)函數(shù)在每個(gè)請求的末尾運(yùn)行,不管是否有異常, 每次請求的最后都會執(zhí)行.
#: A dictionary with lists of functions that are called after
#: each request, even if an exception has occurred. The key of the
#: dictionary is the name of the blueprint this function is active for,
#: `None` for all requests. These functions are not allowed to modify
#: the request, and their return values are ignored. If an exception
#: occurred while processing the request, it gets passed to each
#: teardown_request function. To register a function here, use the
#: :meth:`teardown_request` decorator.
#:
#: .. versionadded:: 0.7
self.teardown_request_funcs = {}
@setupmethod
def teardown_request(self, f):
"""Register a function to be run at the end of each request,
regardless of whether there was an exception or not. These functions
are executed when the request context is popped, even if not an
actual request was performed.
"""
self.teardown_request_funcs.setdefault(None, []).append(f)
return f
將要運(yùn)行的函數(shù)存放在字典中, None 為鍵的列表中存放的是整個(gè)應(yīng)用的所有請求都要運(yùn)行的函數(shù).
from flask import Flask
app = Flask(__name__)
@app.before_first_request
def before_first_request():
print('before_first_request')
@app.before_request
def before_request():
print('before_request')
@app.after_request
def after_request(resp):
print('after_request')
return resp
@app.teardown_request
def teardown_request(e):
print('teardown_request')
@app.route("/")
def view_fn():
return "view_fn"
if __name__ == "__main__":
app.run()
第一次請求:
頁面輸出:view_fn
控制臺輸出: before_first_request
before_request
after_request
teardown_request
第二次請求:
頁面輸出:view_fn
控制臺輸出: before_request
after_request
teardown_request
以上就是本文的全部內(nèi)容,希望對大家的學(xué)習(xí)有所幫助,也希望大家多多支持腳本之家。
相關(guān)文章
Python中json模塊load/loads方法實(shí)戰(zhàn)以及參數(shù)詳解
經(jīng)常在Python中對JSON格式的文件進(jìn)行操作,今天對這些操作做一個(gè)總結(jié),下面這篇文章主要給大家介紹了關(guān)于Python中json模塊load/loads方法實(shí)戰(zhàn)以及參數(shù)的相關(guān)資料,文中通過實(shí)例代碼介紹的非常詳細(xì),需要的朋友可以參考下2022-08-08
twilio python自動撥打電話,播放自定義mp3音頻的方法
今天小編就為大家分享一篇twilio python自動撥打電話,播放自定義mp3音頻的方法,具有很好的參考價(jià)值,希望對大家有所幫助。一起跟隨小編過來看看吧2019-08-08
python?包之?APScheduler?定時(shí)任務(wù)
這篇文章主要介紹了python?包之?APScheduler?定時(shí)任務(wù),文章基于python的相關(guān)資料展開主題內(nèi)容,具有一定的參考價(jià)值,需要的小伙伴可以參考一下2022-04-04
Python的爬蟲程序編寫框架Scrapy入門學(xué)習(xí)教程
Python的一大優(yōu)勢就是可以輕松制作Web爬蟲,而超高人氣的Scrapy則是名副其實(shí)的Python編寫爬蟲的利器,這里我們就來看一下Python的爬蟲程序編寫框架Scrapy入門學(xué)習(xí)教程:2016-07-07
深度學(xué)習(xí)詳解之初試機(jī)器學(xué)習(xí)
機(jī)器學(xué)習(xí)可應(yīng)用在各個(gè)方面,本篇將在系統(tǒng)性進(jìn)入機(jī)器學(xué)習(xí)方向前,初步認(rèn)識機(jī)器學(xué)習(xí),利用線性回歸預(yù)測波士頓房價(jià),讓我們一起來看看吧2021-04-04

