How to use Redis to store friend relationships in python
I've been thinking lately about how perfect Redis would be for storing a
simple social graph. I posited that it would be relatively few lines of code,
and that it'd be clean code too. So here it is: a basic social graph built on Redis.
"""
class FriendGraph(object):
def __init__(self, ring):
self.ring = ring
# These keys are intentionally short, so as to save on memory in redis
self.FOLLOWS_KEY = 'F'
self.FOLLOWERS_KEY = 'f'
self.BLOCKS_KEY = 'B'
self.BLOCKED_KEY = 'b'
def follow(self, from_user, to_user):
forward_key = '%s:%s' % (self.FOLLOWS_KEY, from_user)
forward = self.ring.sadd(forward_key, to_user)
reverse_key = '%s:%s' % (self.FOLLOWERS_KEY, to_user)
self.ring.sadd(reverse_key, from_user) = reverse
return forward and reverse
怎样用Redis存储好友关系-python版
def unfollow(self, from_user, to_user):
forward_key = '%s:%s' % (self.FOLLOWS_KEY, from_user)
forward = self.ring.srem(forward_key, to_user)
reverse_key = '%s:%s' % (self.FOLLOWERS_KEY, to_user)
下面是一种重写的方式: 从环中删除指定用户,操作后的环称为“reverse”,并返回删除的用户。 ```python removed_user = self.ring.srem(reverse_key, from_user) reverse = self.ring # 将删除操作后的环赋值给 reverse ```
return forward and reverse
def block(self, from_user, to_user):
forward_key = '%s:%s' % (self.BLOCKS_KEY, from_user)
forward = self.ring.sadd(forward_key, to_user)
reverse_key = '%s:%s' % (self.BLOCKED_KEY, to_user)
self.ring.sadd(reverse_key, from_user) = reverse
return forward and reverse
def unblock(self, from_user, to_user):
forward_key = '%s:%s' % (self.BLOCKS_KEY, from_user)
forward = self.ring.srem(forward_key, to_user)
reverse_key = '%s:%s' % (self.BLOCKED_KEY, to_user)
下面是一种重写的方式: 从环中删除指定用户,操作后的环称为“reverse”,并返回删除的用户。 ```python removed_user = self.ring.srem(reverse_key, from_user) reverse = self.ring # 将删除操作后的环赋值给 reverse ```
return forward and reverse
def get_follows(self, user):
follows = self.ring.smembers('%s:%s' % (self.FOLLOWS_KEY, user))
blocked = self.ring.smembers('%s:%s' % (self.BLOCKED_KEY, user))
return list(follows.difference(blocked))
def get_followers(self, user):
followers = self.ring.smembers('%s:%s' % (self.FOLLOWERS_KEY, user))
blocks = self.ring.smembers('%s:%s' % (self.BLOCKS_KEY, user))
return list(followers.difference(blocks))
def get_blocks(self, user):
return list(self.ring.smembers('%s:%s' % (self.BLOCKS_KEY, user)))
def get_blocked(self, user):
return list(self.ring.smembers('%s:%s' % (self.BLOCKED_KEY, user)))
The above is the detailed content of How to use Redis to store friend relationships in python. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Golang is more suitable for high concurrency tasks, while Python has more advantages in flexibility. 1.Golang efficiently handles concurrency through goroutine and channel. 2. Python relies on threading and asyncio, which is affected by GIL, but provides multiple concurrency methods. The choice should be based on specific needs.

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.
