Python封装Redis通用工具类

1.django项目settings.py文件关于redis的配置

    # Redis缓存库配置
    CACHES = {
        "default": {
            "BACKEND": "django_redis.cache.RedisCache",
            "LOCATION": "redis://192.168.10.2:6379/0",
            "OPTIONS": {
                "CLIENT_CLASS": "django_redis.client.DefaultClient",
                "COMPRESSOR": "django_redis.compressors.zlib.ZlibCompressor",
                "CONNECTION_POOL_KWARGS": {"max_connections": 512},
                "IGNORE_EXCEPTIONS": True,
                "SOCKET_CONNECT_TIMEOUT": 5,  # in seconds
                "SOCKET_TIMEOUT": 5,  # in seconds
            }
        },
        "authority": {
            "BACKEND": "django_redis.cache.RedisCache",
            "LOCATION": "redis://192.168.10.2:6379/1",
            "OPTIONS": {
                "CLIENT_CLASS": "django_redis.client.DefaultClient",
                "COMPRESSOR": "django_redis.compressors.zlib.ZlibCompressor",
                "CONNECTION_POOL_KWARGS": {"max_connections": 512},
                "IGNORE_EXCEPTIONS": True,
                "SOCKET_CONNECT_TIMEOUT": 5,  # in seconds
                "SOCKET_TIMEOUT": 5,  # in seconds
            }
        },
        "feedflow": {
            "BACKEND": "django_redis.cache.RedisCache",
            "LOCATION": "redis://192.168.10.2:6379/2",
            "OPTIONS": {
                "CLIENT_CLASS": "django_redis.client.DefaultClient",
                "COMPRESSOR": "django_redis.compressors.zlib.ZlibCompressor",
                "CONNECTION_POOL_KWARGS": {"max_connections": 512},
                "IGNORE_EXCEPTIONS": True,
                "SOCKET_CONNECT_TIMEOUT": 5,  # in seconds
                "SOCKET_TIMEOUT": 5,  # in seconds
            }
        },
    }

2.封装redis工具类

"""
全局管理缓存的调用，封装django自带的cache
主要用于小数据量的调用
"""
import json
import re
import redis
from contextlib import contextmanager
from functools import reduce
from django.core import signals
from django.core.cache import _create_cache
from django_redis import get_redis_connection


def query_cache(dbname):
    """
    redis 扩展redis 原生 功能用此连接方式
    """
    conn_redis = get_redis_connection(dbname)
    return conn_redis


def get_cache(backend, **kwargs):
    """django-redis 自带方法请用这个"""
    cache = _create_cache(backend, **kwargs)
    signals.request_finished.connect(cache.close)
    return cache


class CacheAdpter():
    @classmethod
    def hset(cls, cache_name, mainkey, subkey, values, second=None):
        """
        单个添加 redis hash 值
        :param cache_name: db
        :param mainkey: 主key
        :param subkey: 子key
        :param second: 不建议设置过期时间，此过期时间针对mainkey设置，对subkey无效
        :return
        CacheAdpter.hmset('authority', CacheKey.AUTHY_CUSTOMER_ROLE, 20, key_1='values_11', key_2='values_662')
        """
        use_cache = query_cache(cache_name)
        use_cache.hset(mainkey, subkey, values)
        if second:
            use_cache.expire(mainkey, second)

    @classmethod
    def hmset(cls, cache_name, mainkey, second=None, **kwargs):
        """
        批量添加 redis hash 值
        :param cache_name: db
        :param mainkey: 主key
        :param **kwargs: 批量subkey
        :param second: 不建议设置过期时间，此过期时间针对mainkey设置，对subkey无效
        :return
        CacheAdpter.hmset('authority', CacheKey.AUTHY_CUSTOMER_ROLE, 20, key_1='values_11', key_2='values_662')
        """
        use_cache = query_cache(cache_name)
        use_cache.hmset(mainkey, kwargs)
        if second:
            use_cache.expire(mainkey, second)

    @classmethod
    def hdel(cls, cache_name, mainkey, key):
        """
        删除 redis hash 数据
        :param cache_name: db
        :param mainkey: 主key
        :param subkey: 子key
        :return:
        """
        use_cache = query_cache(cache_name)
        use_cache.hdel(mainkey, key)

    @classmethod
    def hget(cls, cache_name, mainkey, subkey, type=False):
        """
        获取 redis hash 数据 扩展redis hash hget 调用
        :param cache_name: db
        :param mainkey: 主key
        :param subkey: 子key
        :return:
        """
        use_cache = query_cache(cache_name)
        result = use_cache.hget(mainkey, subkey)
        # bytes 转 str
        if type:
            return None if result is None else str(result, encoding='utf-8')
        else:
            result = json.loads(result) if result else None
            return result

    @classmethod
    def hkeys(cls, cache_name, mainkey, default=None):
        """
        获取主key中所有子key的列表
        :param cache_name: 缓存库
        :param mainkey: 主key
        :return: 返回列表
        """
        default = default if default else []
        use_cache = query_cache(cache_name)
        keys_list = use_cache.hkeys(mainkey)
        if not keys_list:
            return default
        return keys_list

    @classmethod
    def get_time_out(cls, cache, timeout):
        """
        设置db 过期时间
        :param cache: db
        :param timeout: 过期时间
        :return:
        """
        if not timeout:
            timeout = cache.default_timeout
        return timeout

    @classmethod
    def get(cls, cache_name, key, default=None):
        """
        获取 redis 数据
        :param cache_name: db
        :param key: 主key
        :return:
        """
        use_cache = get_cache(cache_name)
        value = use_cache.get(key)
        if value is None:
            return default
        return value

    @classmethod
    def set(cls, cache_name, key, value, timeout=0):
        """
        存储 redis 数据
        :param cache_name ：db
        :param key: key
        :param value: values
        :param timeout:设置过期时间 单位秒
        :return:
        """
        use_cache = get_cache(cache_name)
        use_cache.set(key, value, cls.get_time_out(use_cache, timeout))

    @classmethod
    def get_many(cls, cache_name, keys, default=None):
        """
        批量获取 redis 数据
        :param cache_name ：db
        :param keys: key list []
        :return:
        """
        default = default if default else {}
        use_cache = get_cache(cache_name)
        value_dict = use_cache.get_many(keys)
        if value_dict is None:
            return default
        return value_dict

    @classmethod
    def set_many(cls, cache_name, keys, timeout=0):
        """
        批量设置 redis 过期数据
        :param cache_name ：db
        :param keys: key list []
        :param timeout 60*24
        :return:
        """
        use_cache = get_cache(cache_name)
        use_cache.set_many(keys, cls.get_time_out(use_cache, timeout))

    @classmethod
    def delete(cls, cache_name, key):
        """
        删除  redis set 数据
        :param cache_name ：db
        :param key: key
        :return:
        """
        use_cache = get_cache(cache_name)
        use_cache.delete(key)

    @classmethod
    def delete_many(cls, cache_name, keys):
        use_cache = get_cache(cache_name)
        for key in keys:
            use_cache.delete(key)

    @classmethod
    def get_large_list(cls, cache_name, key):
        use_cache = get_cache(cache_name)

        value_list = []
        grp_num = use_cache.get(key)
        if grp_num is None:
            return value_list

        keys = [key + '_' + str(i) for i in range(grp_num)]
        value_dict = use_cache.get_many(keys)
        if not value_dict:
            return value_list
        else:
            return reduce(list.__add__, value_dict.values())

    @classmethod
    def sadd(cls, cache_name, key, values):
        """
        添加元素到redis集合中，添加多个元素需要封装为可迭代类型
        :param key: 键
        :param values: 值
        :param cache_name: 缓存库
        :return:
        """
        use_cache = query_cache(cache_name)
        if isinstance(values, str or int):
            return use_cache.sadd(key, values)
        return use_cache.sadd(key, *values)

    @classmethod
    def smembers(cls, cache_name, key):
        """
        获取缓存中集合的所有元素
        :param key: 键
        :param cache_name: 缓存库
        :return: 以列表返回所有结果
        """
        use_cache = query_cache(cache_name)
        value = use_cache.smembers(key)
        if value:
            return sorted([i.decode() for i in value])
        return None

    @classmethod
    def delete_set_key(cls, cache_name, key):
        """
        由于django自带的redis无法删除set（集合）中的键，所以调用此方法
        :param key: 键
        :param cache_name: 缓存库
        :return:
        """
        use_cache = query_cache(cache_name)
        return use_cache.delete(key)

    @classmethod
    def incr(cls, cache_name, key, count, timeout=0):
        use_cache = query_cache(cache_name)
        use_cache.incr(key, count)
        if timeout:
            use_cache.expire(key, timeout)

    @classmethod
    def get_8origin(cls, cache_name, key, default=None):
        """
        获取 redis 数据, 通过get_redis_connection原生连接获取数据
        :param cache_name: db
        :param key: 主key
        :return:
        """
        use_cache = query_cache(cache_name)
        value = use_cache.get(key)
        result = json.loads(value) if value else default
        return result

    @classmethod
    def add(cls, cache_name, key, value, timeout=None):
        """
        当缓存中键不存在时向缓存中写入键值，可以设置有效期
        :param key: 键
        :param value: 值
        :param cache_name: 缓存库
        :param timeout: 有效期时间
        :return:
        """
        use_cache = get_cache(cache_name)
        if isinstance(timeout, int):
            return use_cache.add(key, value, timeout)
        else:
            return use_cache.add(key, value, timeout=cls.get_time_out(use_cache, None))

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Python封装Redis通用工具类

1.django项目settings.py文件关于redis的配置

2.封装redis工具类

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