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ORPA-pyOpenRPA/Resources/LPy64-3105/lib/python3.10/site-packages/parso/cache.py

276 lines
8.3 KiB

import time
import os
import sys
import hashlib
import gc
import shutil
import platform
import logging
import warnings
import pickle
from pathlib import Path
from typing import Dict, Any
LOG = logging.getLogger(__name__)
_CACHED_FILE_MINIMUM_SURVIVAL = 60 * 10 # 10 minutes
"""
Cached files should survive at least a few minutes.
"""
_CACHED_FILE_MAXIMUM_SURVIVAL = 60 * 60 * 24 * 30
"""
Maximum time for a cached file to survive if it is not
accessed within.
"""
_CACHED_SIZE_TRIGGER = 600
"""
This setting limits the amount of cached files. It's basically a way to start
garbage collection.
The reasoning for this limit being as big as it is, is the following:
Numpy, Pandas, Matplotlib and Tensorflow together use about 500 files. This
makes Jedi use ~500mb of memory. Since we might want a bit more than those few
libraries, we just increase it a bit.
"""
_PICKLE_VERSION = 33
"""
Version number (integer) for file system cache.
Increment this number when there are any incompatible changes in
the parser tree classes. For example, the following changes
are regarded as incompatible.
- A class name is changed.
- A class is moved to another module.
- A __slot__ of a class is changed.
"""
_VERSION_TAG = '%s-%s%s-%s' % (
platform.python_implementation(),
sys.version_info[0],
sys.version_info[1],
_PICKLE_VERSION
)
"""
Short name for distinguish Python implementations and versions.
It's a bit similar to `sys.implementation.cache_tag`.
See: http://docs.python.org/3/library/sys.html#sys.implementation
"""
def _get_default_cache_path():
if platform.system().lower() == 'windows':
dir_ = Path(os.getenv('LOCALAPPDATA') or '~', 'Parso', 'Parso')
elif platform.system().lower() == 'darwin':
dir_ = Path('~', 'Library', 'Caches', 'Parso')
else:
dir_ = Path(os.getenv('XDG_CACHE_HOME') or '~/.cache', 'parso')
return dir_.expanduser()
_default_cache_path = _get_default_cache_path()
"""
The path where the cache is stored.
On Linux, this defaults to ``~/.cache/parso/``, on OS X to
``~/Library/Caches/Parso/`` and on Windows to ``%LOCALAPPDATA%\\Parso\\Parso\\``.
On Linux, if environment variable ``$XDG_CACHE_HOME`` is set,
``$XDG_CACHE_HOME/parso`` is used instead of the default one.
"""
_CACHE_CLEAR_THRESHOLD = 60 * 60 * 24
def _get_cache_clear_lock_path(cache_path=None):
"""
The path where the cache lock is stored.
Cache lock will prevent continous cache clearing and only allow garbage
collection once a day (can be configured in _CACHE_CLEAR_THRESHOLD).
"""
cache_path = cache_path or _default_cache_path
return cache_path.joinpath("PARSO-CACHE-LOCK")
parser_cache: Dict[str, Any] = {}
class _NodeCacheItem:
def __init__(self, node, lines, change_time=None):
self.node = node
self.lines = lines
if change_time is None:
change_time = time.time()
self.change_time = change_time
self.last_used = change_time
def load_module(hashed_grammar, file_io, cache_path=None):
"""
Returns a module or None, if it fails.
"""
p_time = file_io.get_last_modified()
if p_time is None:
return None
try:
module_cache_item = parser_cache[hashed_grammar][file_io.path]
if p_time <= module_cache_item.change_time:
module_cache_item.last_used = time.time()
return module_cache_item.node
except KeyError:
return _load_from_file_system(
hashed_grammar,
file_io.path,
p_time,
cache_path=cache_path
)
def _load_from_file_system(hashed_grammar, path, p_time, cache_path=None):
cache_path = _get_hashed_path(hashed_grammar, path, cache_path=cache_path)
try:
if p_time > os.path.getmtime(cache_path):
# Cache is outdated
return None
with open(cache_path, 'rb') as f:
gc.disable()
try:
module_cache_item = pickle.load(f)
finally:
gc.enable()
except FileNotFoundError:
return None
else:
_set_cache_item(hashed_grammar, path, module_cache_item)
LOG.debug('pickle loaded: %s', path)
return module_cache_item.node
def _set_cache_item(hashed_grammar, path, module_cache_item):
if sum(len(v) for v in parser_cache.values()) >= _CACHED_SIZE_TRIGGER:
# Garbage collection of old cache files.
# We are basically throwing everything away that hasn't been accessed
# in 10 minutes.
cutoff_time = time.time() - _CACHED_FILE_MINIMUM_SURVIVAL
for key, path_to_item_map in parser_cache.items():
parser_cache[key] = {
path: node_item
for path, node_item in path_to_item_map.items()
if node_item.last_used > cutoff_time
}
parser_cache.setdefault(hashed_grammar, {})[path] = module_cache_item
def try_to_save_module(hashed_grammar, file_io, module, lines, pickling=True, cache_path=None):
path = file_io.path
try:
p_time = None if path is None else file_io.get_last_modified()
except OSError:
p_time = None
pickling = False
item = _NodeCacheItem(module, lines, p_time)
_set_cache_item(hashed_grammar, path, item)
if pickling and path is not None:
try:
_save_to_file_system(hashed_grammar, path, item, cache_path=cache_path)
except PermissionError:
# It's not really a big issue if the cache cannot be saved to the
# file system. It's still in RAM in that case. However we should
# still warn the user that this is happening.
warnings.warn(
'Tried to save a file to %s, but got permission denied.' % path,
Warning
)
else:
_remove_cache_and_update_lock(cache_path=cache_path)
def _save_to_file_system(hashed_grammar, path, item, cache_path=None):
with open(_get_hashed_path(hashed_grammar, path, cache_path=cache_path), 'wb') as f:
pickle.dump(item, f, pickle.HIGHEST_PROTOCOL)
def clear_cache(cache_path=None):
if cache_path is None:
cache_path = _default_cache_path
shutil.rmtree(cache_path)
parser_cache.clear()
def clear_inactive_cache(
cache_path=None,
inactivity_threshold=_CACHED_FILE_MAXIMUM_SURVIVAL,
):
if cache_path is None:
cache_path = _default_cache_path
if not cache_path.exists():
return False
for dirname in os.listdir(cache_path):
version_path = cache_path.joinpath(dirname)
if not version_path.is_dir():
continue
for file in os.scandir(version_path):
if file.stat().st_atime + _CACHED_FILE_MAXIMUM_SURVIVAL <= time.time():
try:
os.remove(file.path)
except OSError: # silently ignore all failures
continue
else:
return True
def _touch(path):
try:
os.utime(path, None)
except FileNotFoundError:
try:
file = open(path, 'a')
file.close()
except (OSError, IOError): # TODO Maybe log this?
return False
return True
def _remove_cache_and_update_lock(cache_path=None):
lock_path = _get_cache_clear_lock_path(cache_path=cache_path)
try:
clear_lock_time = os.path.getmtime(lock_path)
except FileNotFoundError:
clear_lock_time = None
if (
clear_lock_time is None # first time
or clear_lock_time + _CACHE_CLEAR_THRESHOLD <= time.time()
):
if not _touch(lock_path):
# First make sure that as few as possible other cleanup jobs also
# get started. There is still a race condition but it's probably
# not a big problem.
return False
clear_inactive_cache(cache_path=cache_path)
def _get_hashed_path(hashed_grammar, path, cache_path=None):
directory = _get_cache_directory_path(cache_path=cache_path)
file_hash = hashlib.sha256(str(path).encode("utf-8")).hexdigest()
return os.path.join(directory, '%s-%s.pkl' % (hashed_grammar, file_hash))
def _get_cache_directory_path(cache_path=None):
if cache_path is None:
cache_path = _default_cache_path
directory = cache_path.joinpath(_VERSION_TAG)
if not directory.exists():
os.makedirs(directory)
return directory