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Cache/Memoization package

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My Mimic

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                                                                            By CenturyBoys

My Mimic is a function decorator for cache/memoization. They use the args and kwargs to create a hash to storage the function call result after the first call all function invoke will use already storage result.

Configuration

Using mr.Mime from Mimic allowed you to use the default config or create a self one. By default, an in-memory state are used you can implement your own state resolver using the interface IState.

Below you can see the interface contract

from abc import ABC, abstractmethod

class IState(ABC):
    """
    State interface
    """

    @abstractmethod
    def sync_get(self, key: str):
        """
        Sync get implementation
        :param key: str
        :return:
        """

    @abstractmethod
    def sync_set(self, key: str, value: any, ttl: int = None):
        """
        Sync set implementation
        :param key: str
        :param value: Any
        :param ttl: int. Seconds that the cache will have to live. Set None to never die
        :return:
        """

    @abstractmethod
    async def async_get(self, key: str):
        """
        Async get implementation
        :param key: str
        :return:
        """

    @abstractmethod
    async def async_set(self, key: str, value: any, ttl: int = None):
        """
        Async set implementation
        :param key: str
        :param value: Any
        :param ttl: int. Seconds that the cache will have to live. Set None to never die
        :return:
        """

To configure a new state you need to use mr.Mime.set_config function passing a config instance. The config accepts a kwargs: dict parameter, this parameter will be sent to the state instance.

import mr


class MyState(mr.IState):
    def sync_get(self, key: str):
        pass

    def sync_set(self, key: str, value: any, ttl: int = None):
        pass

    async def async_get(self, key: str):
        pass

    async def async_set(self, key: str, value: any, ttl: int = None):
        pass


mr.Mime.set_config(config=mr.Config(state=MyState, state_kwargs={"KEY": "value"}))

Extras

For default a memory-state is allways set. But we also have extras states see below the list:

Redis

This extra add the redis package in version ^4.6.0. All result will be serialized to be stored and unserialized to be returned using the pickle lib.

How to install extra packages?

poetry add my-mimic -E redis_edition
OR
pip install 'my-mimic[redis_edition]'

You need pass the REDIS_URL parameter on configuration

import mr

mr.Mime.set_config(
    config=mr.Config(
        state=mr.states.RedisState,
        state_kwargs={"REDIS_URL": "redis://"}
    )
)

Redis

This extra add the aiofile package in version ^3.8.8. All result will be serialized to be stored and unserialized to be returned using the pickle lib.

How to install extra packages?

poetry add my-mimic -E temp_edition
OR
pip install 'my-mimic[temp_edition]'

You can pass the BASE_PATH parameter on configuration. Where all cached files will be storage, if not set will use the OS default temp folder. You can pass the STATIC parameter on configuration. When True disable the temporary cleanup, if used without set a BASE_PATH will use the OS default temp folder.

import mr
mr.Mime.set_config(
    config=mr.Config(
        state=mr.states.TempFileState, 
        kwargs={"BASE_PATH": "/home/my_user", "STATIC": True}
    )
)

How to use

For that we use mr.Mime as decorator that receive a ttl as argument. That means the ttl is the seconds that the cache will have to live. Set None to never die.

Mime works fine with sync and async functions too.

import time
import mr

@mr.Mime(ttl=1)
def cached_callback(param_a: int, param_b: int):
    print("Function was called")
    return param_a + param_b

result = cached_callback(1, 2)
print(result)
result = cached_callback(1, 2)
print(result)
time.sleep(2)
print("Await 2 seconds")
result = cached_callback(1, 2)
print(result)

The output will be

Function was called
3
3
Await 2 seconds
Function was called
3

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