khushalps
3a64ea7efe
git-subtree-dir: utils_v2 git-subtree-split: 8bb584e4734606740c0b42d51bc7fd458c39031a
498 lines
19 KiB
Python
498 lines
19 KiB
Python
"""
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AUTHOR:
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Khushal P Soonderji
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DATE:
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Thursday, 11th April, 2024
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OBJECTIVE:
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To provide an easy way to work with '.json' files in an async manner.
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REFERENCES:
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1) https://www.w3schools.com/python/python_json.asp
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DOWNLOADS:
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N/A
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"""
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# *****************************************************************************************************************
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# ***** ****
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# *** IMPORT ***
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# ***** ****
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# *****************************************************************************************************************
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# To use redis:
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import redis.asyncio as redis
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# Other utils:
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from utils_v2.string import json
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# For debugging:
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from icecream import IceCreamDebugger
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# To make a decorator:
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from functools import wraps
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# For hashing and shortening the hash:
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import hashlib
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import base64
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# *****************************************************************************************************************
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# ***** ****
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# *** MACROS / ONE-TIME INIT ***
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# ***** ****
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# *****************************************************************************************************************
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# --- Nothing Yet
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# *****************************************************************************************************************
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# ***** ****
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# *** VARIABLES ***
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# ***** ****
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# *****************************************************************************************************************
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# --- Nothing Yet
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# *****************************************************************************************************************
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# ***** ****
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# *** FUNCTIONS ***
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# ***** ****
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# *****************************************************************************************************************
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# --- Nothing Yet
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# *****************************************************************************************************************
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# ***** ****
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# *** WRAPPERS ***
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# ***** ****
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# *****************************************************************************************************************
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def cache_it(cache = None, expiry = 120):
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"""
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This decorator factory takes an instance of the async caching class 'AsyncRedisCache' and holds your data there.
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If a subsequent call is made to the same decorated function with the same inputs, the result is fetched from the
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cache instead of going through the whole function again.
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:param cache: The instance of 'AsyncRedisCache'.
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:param expiry: The time in seconds after which the cached data must be cleared.
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:return: The decorator that automatically caches your data.
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"""
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def decorator(func):
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@wraps(func)
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async def wrapper(*args, **kwargs):
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# We first use the name of the function and the inputs given to it to generate a key for Redis with the
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# simple hashing and shortening by way of base64 strings:
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inputs_given = func.__name__ + str([_ for _ in args]) + str(kwargs)
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sha256_hash = hashlib.sha256()
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sha256_hash.update(inputs_given.encode("utf-8"))
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hashed_key = sha256_hash.digest()
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base64_key = base64.b64encode(hashed_key).decode("utf-8")
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# Now we check if we have the value in cache:
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try: response = await cache.get(base64_key, raise_exception = True)
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# If the key doesn't exist, we pass through the function and store the results.
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except:
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response = await func(*args, **kwargs)
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await cache.set(key = base64_key, value = response, expiry = expiry)
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# Return the response from the wrapped function.
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return response
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return wrapper
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return decorator
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# ---------------------------------------------------------------------------------------------------------------------
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def cache_class_methods(attr_name, expiry = 120):
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"""
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This decorator factory takes an instance of the async caching class 'AsyncRedisCache' and holds your data there.
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If a subsequent call is made to the same decorated function with the same inputs, the result is fetched from the
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cache instead of going through the whole function again.
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:param attr_name: The name of the variable that has an instance of "AsyncRedisCache".
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:param expiry: The time in seconds after which the cached data must be cleared.
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:return: The decorator that automatically caches your data.
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"""
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def decorator(func):
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@wraps(func)
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async def wrapper(self, *args, **kwargs):
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# Get the cache object first:
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cache_obj = getattr(self, attr_name)
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# We first use the name of the function and the inputs given to it to generate a key for Redis with the
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# simple hashing and shortening by way of base64 strings:
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inputs_given = func.__name__ + str([_ for _ in args]) + str(kwargs)
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sha256_hash = hashlib.sha256()
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sha256_hash.update(inputs_given.encode("utf-8"))
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hashed_key = sha256_hash.digest()
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base64_key = base64.b64encode(hashed_key).decode("utf-8")
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# Now we check if we have the value in cache:
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try: response = await cache_obj.get(base64_key, raise_exception = True)
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# If the key doesn't exist, we pass through the function and store the results.
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except:
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response = await func(self, *args, **kwargs)
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await cache_obj.set(key = base64_key, value = response, expiry = expiry)
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# Return the response from the wrapped function.
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return response
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return wrapper
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return decorator
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# *****************************************************************************************************************
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# ***** ****
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# *** CLASSES ***
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# ***** ****
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# *****************************************************************************************************************
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class AsyncRedisCache:
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# Handle datatypes when setting values to cache:
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__set_converters = {
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"set": lambda x: list(x),
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"tuple": lambda x: list(x),
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"complex": lambda x: {"r": x.real, "i": x.imag}
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}
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# Handle datatypes when getting from cache:
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__get_converters = {
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"set": lambda x: set(x),
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"tuple": lambda x: tuple(x),
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"complex": lambda x: complex(x["r"], x["i"])
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}
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def __init__(
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self,
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connection_string,
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ping_counter = 1_000,
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debug = False,
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debug_prefix = "R-Cache | "
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):
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"""
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Implements a simple cache in Redis which holds and returns all native datatypes like ints, floats, bools,
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strings, dicts, lists, sets, and tuples :)
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:param connection_string: The connection URL for connecting to Redis.
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:param ping_counter: The number of requests to Redis after which you want to ping to ensure connection.
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:param debug: Whether, or not, you want to show debugging messages from the start.
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:param debug_prefix: The prefix text to show with the debugging messages.
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"""
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# Note down the configuration:
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self.__client = None
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self.__ping_counter = ping_counter
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self.__requests_since_last_ping = 0
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self.__connection_string = connection_string
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# For debugging:
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self.__printer = IceCreamDebugger(prefix = debug_prefix, includeContext = True)
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if not debug: self.__printer.disable()
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def enable_debug(self):
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self.__printer.enable()
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def disable_debug(self):
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self.__printer.disable()
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@staticmethod
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def make_key(*args, **kwargs):
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"""
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Generates a key by hashing the args and kwargs sent to it. Can be useful to generate a predictable key. If the
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inputs stay the same, the output stays the same.
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:param args: Any number of args that you would like to use to generate the key.
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:param kwargs: Any number of kwargs that you would like to use to generate the key.
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:return: A string that can be used as a key to store values on Redis.
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"""
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# Take everything into one plain text string:
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plain_text = "".join(str(a) for a in args)
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plain_text += json.to_string(kwargs, no_space = True)
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# Hash the plain text value, and create a key from it:
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sha256_hash = hashlib.sha256()
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sha256_hash.update(plain_text.encode("utf-8"))
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hashed_key = sha256_hash.digest()
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base64_key = base64.b64encode(hashed_key).decode("utf-8")
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# Done here:
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return base64_key
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def add_converter(
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self,
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type_name,
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set_converter_func,
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get_converter_func,
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):
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"""
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To add custom data converters to handle new values.
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RULE: Each of the converter functions must take in exactly on argument.
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:param type_name: The name of the type of the object to handle. HINT: type(obj).__name__.
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:param set_converter_func: A converter function that converts from the custom datatype to a datatype that Redis
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can work with. Try converting to an bool, int, float, str, list or dict.
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:param get_converter_func: The inverse of the set converter. This function will be used to convert from a
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datatype that Redis can work with to the custom datatype.
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:return: None.
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"""
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self.__set_converters[type_name] = lambda x: set_converter_func(x)
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self.__get_converters[type_name] = lambda x: get_converter_func(x)
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async def connect(self):
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"""
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To make an asynchronous connection request to the Redis server to establish a connection.
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:return: True if connected, else False.
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"""
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try:
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self.__client = redis.from_url(
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self.__connection_string
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)
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return True
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except Exception as exception:
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self.__printer(exception)
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return False
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async def disconnect(self):
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"""
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Close the connection to the Redis server.
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:return: True if successful, else False.
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"""
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if self.__client is not None:
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try: await self.__client.close()
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except Exception as exception:
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self.__printer(exception)
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return False
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return True
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return True
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async def ensure_connection(self):
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"""
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To ensure that we are connected. We keep pinging the Redis server every once in a while even when connected.
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:return: True if connected, else False.
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"""
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# If we are not connected, we try to establish a connection:
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if self.__client is None: return await self.connect()
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# Else we check if we are connected. If not, we try to connect.
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# But we check only once in a while. In the meantime, we assume that we are connected.
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elif self.__requests_since_last_ping > self.__ping_counter:
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try:
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await self.__client.ping()
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self.__requests_since_last_ping = 0
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return True
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except Exception as exception:
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self.__printer(exception)
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return await self.connect()
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else:
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self.__requests_since_last_ping += 1
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return True
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async def set(self, key, value, expiry: float = 120, raise_exception = False):
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"""
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Saves some value to the cache.
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:param key: The key with which the data will be stored and retrieved.
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:param value: The value to store.
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:param expiry: The time in seconds after which the data will expire. Must be a positive number.
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:param raise_exception: If you want to raise an exception if the process fails.
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:return: True if cached, else False.
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"""
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await self.ensure_connection()
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try:
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# We handle conversion for unsupported Pythonic datatypes:
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original_type = type(value).__name__
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converter = self.__set_converters.get(original_type)
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if converter is not None: value = converter(value)
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# Here we actually try to store the data:
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response = await self.__client.setex(
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key,
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int(expiry),
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json.to_string({
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"value": value,
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"type": original_type
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}, indent = 0, no_space = False)
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)
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return response
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except Exception as exception:
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self.__printer(exception)
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if raise_exception: raise
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else: return False
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async def get(self, key, raise_exception = False, on_fail = None):
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"""
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Retrieve the cached value.
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:param key: The key with which the data was saved.
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:param raise_exception: If you want to raise an exception if the process fails.
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:param on_fail: What to return if the process fails due to an exception.
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:return: The retrieved data or null if not found.
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"""
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await self.ensure_connection()
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try:
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data = await self.__client.get(key)
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data = data.decode("utf-8")
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data = json.from_string(data)
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converter = self.__get_converters.get(data["type"])
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if converter is not None: return converter(data["value"])
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return data["value"]
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except Exception as exception:
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self.__printer(exception)
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if raise_exception: raise
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else: return on_fail
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async def delete(self, key, raise_exception = False):
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"""
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Prematurely delete the value from the cache before it expires.
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:param key: The key with which the data was saved.
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:param raise_exception: If you want to raise an exception if the process fails.
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:return: True if deleted, else False.
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"""
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await self.ensure_connection()
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try:
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response = await self.__client.delete(key)
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return True if response else False
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except Exception as exception:
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self.__printer(exception)
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if raise_exception: raise
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else: return False
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async def count(self, key, value: int = 1, expiry: float = None, raise_exception = False):
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"""
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To use simple counters. If the counter (identified by the 'key') exists, it will be incremented, else the
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counter will be created and the value will be incremented from 0.
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:param key: The name of the counter.
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:param value: The amount to increment the value by. Send negative values to count backwards.
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:param expiry: The time (in seconds) in which the counter expires. Starts from the time the counter is created.
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This value has to be an integer. If a float is passed, the value will be rounded off.
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:param raise_exception: If you want to raise an exception if the process fails.
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:return: The latest value of the counter. Will be null if something went wrong and the exception was suppressed.
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"""
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await self.ensure_connection()
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try:
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already_existed = await self.__client.exists(key)
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new_value = await self.__client.incrby(key, value)
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if expiry and not already_existed: await self.__client.expire(key, int(expiry))
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return new_value
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except Exception as exception:
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self.__printer(exception)
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if raise_exception: raise
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else: return None
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# *****************************************************************************************************************
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# ***** ****
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# *** MAIN PROGRAM ***
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# ***** ****
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# *****************************************************************************************************************
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if __name__ == "__main__":
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import asyncio
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def set_complex(x):
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return {"r": x.real, "i": x.imag}
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def get_complex(x):
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return complex(x["r"], x["i"])
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async def main():
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my_cache = AsyncRedisCache(
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connection_string = r"redis://:dc4da94197c843ab6a730113c2b801d9@redis.ditscentre.in/0",
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ping_counter = 100,
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debug = False
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)
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my_cache.add_converter(
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type_name = type(2j).__name__,
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set_converter_func = set_complex,
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get_converter_func = get_complex
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)
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value = await my_cache.get(key = "6b61afd0-b066-4611-9791-411a30d34624")
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print("GET:", value)
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print("TYP:", type(value), end = "\n\n")
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# success = await my_cache.set(
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# key = "name",
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# value = {"first": "John", "last": "Doe"},
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# expiry = 10
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# )
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# print("SET:", success, end = "\n\n")
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#
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# value = await my_cache.get(key = "name")
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# print("GET:", value)
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# print("TYP:", type(value), end = "\n\n")
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#
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# success = await my_cache.delete(key = "name")
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# print("DEL:", success, end = "\n\n")
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#
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# value = await my_cache.get(key = "cnt")
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# print("GET:", value)
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# print("TYP:", type(value), end = "\n\n")
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#
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# await my_cache.delete(key = "cnt")
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# for _ in range(50):
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# await asyncio.sleep(1.0)
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# counter = await my_cache.count(key = "cnt", value = 1, expiry = 10)
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# print("COUNTER:", counter)
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asyncio.run(main())
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