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1 import time
2 import os
3 import sys
4 import hashlib
5 import gc
6 import shutil
7 import platform
8 import logging
9 import warnings
10 import pickle
11 from pathlib import Path
12 from typing import Dict, Any
13
14 LOG = logging.getLogger(__name__)
15
16 _CACHED_FILE_MINIMUM_SURVIVAL = 60 * 10 # 10 minutes
17 """
18 Cached files should survive at least a few minutes.
19 """
20
21 _CACHED_FILE_MAXIMUM_SURVIVAL = 60 * 60 * 24 * 30
22 """
23 Maximum time for a cached file to survive if it is not
24 accessed within.
25 """
26
27 _CACHED_SIZE_TRIGGER = 600
28 """
29 This setting limits the amount of cached files. It's basically a way to start
30 garbage collection.
31
32 The reasoning for this limit being as big as it is, is the following:
33
34 Numpy, Pandas, Matplotlib and Tensorflow together use about 500 files. This
35 makes Jedi use ~500mb of memory. Since we might want a bit more than those few
36 libraries, we just increase it a bit.
37 """
38
39 _PICKLE_VERSION = 33
40 """
41 Version number (integer) for file system cache.
42
43 Increment this number when there are any incompatible changes in
44 the parser tree classes. For example, the following changes
45 are regarded as incompatible.
46
47 - A class name is changed.
48 - A class is moved to another module.
49 - A __slot__ of a class is changed.
50 """
51
52 _VERSION_TAG = '%s-%s%s-%s' % (
53 platform.python_implementation(),
54 sys.version_info[0],
55 sys.version_info[1],
56 _PICKLE_VERSION
57 )
58 """
59 Short name for distinguish Python implementations and versions.
60
61 It's a bit similar to `sys.implementation.cache_tag`.
62 See: http://docs.python.org/3/library/sys.html#sys.implementation
63 """
64
65
66 def _get_default_cache_path():
67 if platform.system().lower() == 'windows':
68 dir_ = Path(os.getenv('LOCALAPPDATA') or '~', 'Parso', 'Parso')
69 elif platform.system().lower() == 'darwin':
70 dir_ = Path('~', 'Library', 'Caches', 'Parso')
71 else:
72 dir_ = Path(os.getenv('XDG_CACHE_HOME') or '~/.cache', 'parso')
73 return dir_.expanduser()
74
75
76 _default_cache_path = _get_default_cache_path()
77 """
78 The path where the cache is stored.
79
80 On Linux, this defaults to ``~/.cache/parso/``, on OS X to
81 ``~/Library/Caches/Parso/`` and on Windows to ``%LOCALAPPDATA%\\Parso\\Parso\\``.
82 On Linux, if environment variable ``$XDG_CACHE_HOME`` is set,
83 ``$XDG_CACHE_HOME/parso`` is used instead of the default one.
84 """
85
86 _CACHE_CLEAR_THRESHOLD = 60 * 60 * 24
87
88
89 def _get_cache_clear_lock_path(cache_path=None):
90 """
91 The path where the cache lock is stored.
92
93 Cache lock will prevent continous cache clearing and only allow garbage
94 collection once a day (can be configured in _CACHE_CLEAR_THRESHOLD).
95 """
96 cache_path = cache_path or _default_cache_path
97 return cache_path.joinpath("PARSO-CACHE-LOCK")
98
99
100 parser_cache: Dict[str, Any] = {}
101
102
103 class _NodeCacheItem:
104 def __init__(self, node, lines, change_time=None):
105 self.node = node
106 self.lines = lines
107 if change_time is None:
108 change_time = time.time()
109 self.change_time = change_time
110 self.last_used = change_time
111
112
113 def load_module(hashed_grammar, file_io, cache_path=None):
114 """
115 Returns a module or None, if it fails.
116 """
117 p_time = file_io.get_last_modified()
118 if p_time is None:
119 return None
120
121 try:
122 module_cache_item = parser_cache[hashed_grammar][file_io.path]
123 if p_time <= module_cache_item.change_time:
124 module_cache_item.last_used = time.time()
125 return module_cache_item.node
126 except KeyError:
127 return _load_from_file_system(
128 hashed_grammar,
129 file_io.path,
130 p_time,
131 cache_path=cache_path
132 )
133
134
135 def _load_from_file_system(hashed_grammar, path, p_time, cache_path=None):
136 cache_path = _get_hashed_path(hashed_grammar, path, cache_path=cache_path)
137 try:
138 if p_time > os.path.getmtime(cache_path):
139 # Cache is outdated
140 return None
141
142 with open(cache_path, 'rb') as f:
143 gc.disable()
144 try:
145 module_cache_item = pickle.load(f)
146 finally:
147 gc.enable()
148 except FileNotFoundError:
149 return None
150 else:
151 _set_cache_item(hashed_grammar, path, module_cache_item)
152 LOG.debug('pickle loaded: %s', path)
153 return module_cache_item.node
154
155
156 def _set_cache_item(hashed_grammar, path, module_cache_item):
157 if sum(len(v) for v in parser_cache.values()) >= _CACHED_SIZE_TRIGGER:
158 # Garbage collection of old cache files.
159 # We are basically throwing everything away that hasn't been accessed
160 # in 10 minutes.
161 cutoff_time = time.time() - _CACHED_FILE_MINIMUM_SURVIVAL
162 for key, path_to_item_map in parser_cache.items():
163 parser_cache[key] = {
164 path: node_item
165 for path, node_item in path_to_item_map.items()
166 if node_item.last_used > cutoff_time
167 }
168
169 parser_cache.setdefault(hashed_grammar, {})[path] = module_cache_item
170
171
172 def try_to_save_module(hashed_grammar, file_io, module, lines, pickling=True, cache_path=None):
173 path = file_io.path
174 try:
175 p_time = None if path is None else file_io.get_last_modified()
176 except OSError:
177 p_time = None
178 pickling = False
179
180 item = _NodeCacheItem(module, lines, p_time)
181 _set_cache_item(hashed_grammar, path, item)
182 if pickling and path is not None:
183 try:
184 _save_to_file_system(hashed_grammar, path, item, cache_path=cache_path)
185 except PermissionError:
186 # It's not really a big issue if the cache cannot be saved to the
187 # file system. It's still in RAM in that case. However we should
188 # still warn the user that this is happening.
189 warnings.warn(
190 'Tried to save a file to %s, but got permission denied.' % path,
191 Warning
192 )
193 else:
194 _remove_cache_and_update_lock(cache_path=cache_path)
195
196
197 def _save_to_file_system(hashed_grammar, path, item, cache_path=None):
198 with open(_get_hashed_path(hashed_grammar, path, cache_path=cache_path), 'wb') as f:
199 pickle.dump(item, f, pickle.HIGHEST_PROTOCOL)
200
201
202 def clear_cache(cache_path=None):
203 if cache_path is None:
204 cache_path = _default_cache_path
205 shutil.rmtree(cache_path)
206 parser_cache.clear()
207
208
209 def clear_inactive_cache(
210 cache_path=None,
211 inactivity_threshold=_CACHED_FILE_MAXIMUM_SURVIVAL,
212 ):
213 if cache_path is None:
214 cache_path = _default_cache_path
215 if not cache_path.exists():
216 return False
217 for dirname in os.listdir(cache_path):
218 version_path = cache_path.joinpath(dirname)
219 if not version_path.is_dir():
220 continue
221 for file in os.scandir(version_path):
222 if file.stat().st_atime + _CACHED_FILE_MAXIMUM_SURVIVAL <= time.time():
223 try:
224 os.remove(file.path)
225 except OSError: # silently ignore all failures
226 continue
227 else:
228 return True
229
230
231 def _touch(path):
232 try:
233 os.utime(path, None)
234 except FileNotFoundError:
235 try:
236 file = open(path, 'a')
237 file.close()
238 except (OSError, IOError): # TODO Maybe log this?
239 return False
240 return True
241
242
243 def _remove_cache_and_update_lock(cache_path=None):
244 lock_path = _get_cache_clear_lock_path(cache_path=cache_path)
245 try:
246 clear_lock_time = os.path.getmtime(lock_path)
247 except FileNotFoundError:
248 clear_lock_time = None
249 if (
250 clear_lock_time is None # first time
251 or clear_lock_time + _CACHE_CLEAR_THRESHOLD <= time.time()
252 ):
253 if not _touch(lock_path):
254 # First make sure that as few as possible other cleanup jobs also
255 # get started. There is still a race condition but it's probably
256 # not a big problem.
257 return False
258
259 clear_inactive_cache(cache_path=cache_path)
260
261
262 def _get_hashed_path(hashed_grammar, path, cache_path=None):
263 directory = _get_cache_directory_path(cache_path=cache_path)
264
265 file_hash = hashlib.sha256(str(path).encode("utf-8")).hexdigest()
266 return os.path.join(directory, '%s-%s.pkl' % (hashed_grammar, file_hash))
267
268
269 def _get_cache_directory_path(cache_path=None):
270 if cache_path is None:
271 cache_path = _default_cache_path
272 directory = cache_path.joinpath(_VERSION_TAG)
273 if not directory.exists():
274 os.makedirs(directory)
275 return directory