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116 lines
3.6 KiB
Python
116 lines
3.6 KiB
Python
"""
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This caching is very important for speed and memory optimizations. There's
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nothing really spectacular, just some decorators. The following cache types are
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available:
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- ``time_cache`` can be used to cache something for just a limited time span,
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which can be useful if there's user interaction and the user cannot react
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faster than a certain time.
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This module is one of the reasons why |jedi| is not thread-safe. As you can see
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there are global variables, which are holding the cache information. Some of
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these variables are being cleaned after every API usage.
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"""
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import time
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from functools import wraps
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from typing import Any, Dict, Tuple
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from jedi import settings
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from parso.cache import parser_cache
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_time_caches: Dict[str, Dict[Any, Tuple[float, Any]]] = {}
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def clear_time_caches(delete_all: bool = False) -> None:
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""" Jedi caches many things, that should be completed after each completion
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finishes.
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:param delete_all: Deletes also the cache that is normally not deleted,
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like parser cache, which is important for faster parsing.
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"""
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global _time_caches
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if delete_all:
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for cache in _time_caches.values():
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cache.clear()
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parser_cache.clear()
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else:
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# normally just kill the expired entries, not all
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for tc in _time_caches.values():
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# check time_cache for expired entries
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for key, (t, value) in list(tc.items()):
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if t < time.time():
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# delete expired entries
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del tc[key]
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def signature_time_cache(time_add_setting):
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"""
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This decorator works as follows: Call it with a setting and after that
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use the function with a callable that returns the key.
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But: This function is only called if the key is not available. After a
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certain amount of time (`time_add_setting`) the cache is invalid.
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If the given key is None, the function will not be cached.
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"""
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def _temp(key_func):
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dct = {}
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_time_caches[time_add_setting] = dct
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def wrapper(*args, **kwargs):
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generator = key_func(*args, **kwargs)
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key = next(generator)
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try:
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expiry, value = dct[key]
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if expiry > time.time():
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return value
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except KeyError:
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pass
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value = next(generator)
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time_add = getattr(settings, time_add_setting)
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if key is not None:
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dct[key] = time.time() + time_add, value
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return value
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return wrapper
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return _temp
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def time_cache(seconds):
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def decorator(func):
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cache = {}
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@wraps(func)
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def wrapper(*args, **kwargs):
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key = (args, frozenset(kwargs.items()))
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try:
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created, result = cache[key]
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if time.time() < created + seconds:
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return result
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except KeyError:
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pass
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result = func(*args, **kwargs)
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cache[key] = time.time(), result
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return result
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wrapper.clear_cache = lambda: cache.clear()
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return wrapper
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return decorator
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def memoize_method(method):
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"""A normal memoize function."""
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@wraps(method)
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def wrapper(self, *args, **kwargs):
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cache_dict = self.__dict__.setdefault('_memoize_method_dct', {})
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dct = cache_dict.setdefault(method, {})
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key = (args, frozenset(kwargs.items()))
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try:
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return dct[key]
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except KeyError:
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result = method(self, *args, **kwargs)
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dct[key] = result
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return result
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return wrapper
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