Current File : //usr/lib/python3/dist-packages/jinja2/bccache.py
"""The optional bytecode cache system. This is useful if you have very
complex template situations and the compilation of all those templates
slows down your application too much.
Situations where this is useful are often forking web applications that
are initialized on the first request.
"""
import errno
import fnmatch
import marshal
import os
import pickle
import stat
import sys
import tempfile
import typing as t
from hashlib import sha1
from io import BytesIO
from types import CodeType
if t.TYPE_CHECKING:
import typing_extensions as te
from .environment import Environment
class _MemcachedClient(te.Protocol):
def get(self, key: str) -> bytes:
...
def set(self, key: str, value: bytes, timeout: t.Optional[int] = None) -> None:
...
bc_version = 5
# Magic bytes to identify Jinja bytecode cache files. Contains the
# Python major and minor version to avoid loading incompatible bytecode
# if a project upgrades its Python version.
bc_magic = (
b"j2"
+ pickle.dumps(bc_version, 2)
+ pickle.dumps((sys.version_info[0] << 24) | sys.version_info[1], 2)
)
class Bucket:
"""Buckets are used to store the bytecode for one template. It's created
and initialized by the bytecode cache and passed to the loading functions.
The buckets get an internal checksum from the cache assigned and use this
to automatically reject outdated cache material. Individual bytecode
cache subclasses don't have to care about cache invalidation.
"""
def __init__(self, environment: "Environment", key: str, checksum: str) -> None:
self.environment = environment
self.key = key
self.checksum = checksum
self.reset()
def reset(self) -> None:
"""Resets the bucket (unloads the bytecode)."""
self.code: t.Optional[CodeType] = None
def load_bytecode(self, f: t.BinaryIO) -> None:
"""Loads bytecode from a file or file like object."""
# make sure the magic header is correct
magic = f.read(len(bc_magic))
if magic != bc_magic:
self.reset()
return
# the source code of the file changed, we need to reload
checksum = pickle.load(f)
if self.checksum != checksum:
self.reset()
return
# if marshal_load fails then we need to reload
try:
self.code = marshal.load(f)
except (EOFError, ValueError, TypeError):
self.reset()
return
def write_bytecode(self, f: t.BinaryIO) -> None:
"""Dump the bytecode into the file or file like object passed."""
if self.code is None:
raise TypeError("can't write empty bucket")
f.write(bc_magic)
pickle.dump(self.checksum, f, 2)
marshal.dump(self.code, f)
def bytecode_from_string(self, string: bytes) -> None:
"""Load bytecode from bytes."""
self.load_bytecode(BytesIO(string))
def bytecode_to_string(self) -> bytes:
"""Return the bytecode as bytes."""
out = BytesIO()
self.write_bytecode(out)
return out.getvalue()
class BytecodeCache:
"""To implement your own bytecode cache you have to subclass this class
and override :meth:`load_bytecode` and :meth:`dump_bytecode`. Both of
these methods are passed a :class:`~jinja2.bccache.Bucket`.
A very basic bytecode cache that saves the bytecode on the file system::
from os import path
class MyCache(BytecodeCache):
def __init__(self, directory):
self.directory = directory
def load_bytecode(self, bucket):
filename = path.join(self.directory, bucket.key)
if path.exists(filename):
with open(filename, 'rb') as f:
bucket.load_bytecode(f)
def dump_bytecode(self, bucket):
filename = path.join(self.directory, bucket.key)
with open(filename, 'wb') as f:
bucket.write_bytecode(f)
A more advanced version of a filesystem based bytecode cache is part of
Jinja.
"""
def load_bytecode(self, bucket: Bucket) -> None:
"""Subclasses have to override this method to load bytecode into a
bucket. If they are not able to find code in the cache for the
bucket, it must not do anything.
"""
raise NotImplementedError()
def dump_bytecode(self, bucket: Bucket) -> None:
"""Subclasses have to override this method to write the bytecode
from a bucket back to the cache. If it unable to do so it must not
fail silently but raise an exception.
"""
raise NotImplementedError()
def clear(self) -> None:
"""Clears the cache. This method is not used by Jinja but should be
implemented to allow applications to clear the bytecode cache used
by a particular environment.
"""
def get_cache_key(
self, name: str, filename: t.Optional[t.Union[str]] = None
) -> str:
"""Returns the unique hash key for this template name."""
hash = sha1(name.encode("utf-8"))
if filename is not None:
hash.update(f"|{filename}".encode())
return hash.hexdigest()
def get_source_checksum(self, source: str) -> str:
"""Returns a checksum for the source."""
return sha1(source.encode("utf-8")).hexdigest()
def get_bucket(
self,
environment: "Environment",
name: str,
filename: t.Optional[str],
source: str,
) -> Bucket:
"""Return a cache bucket for the given template. All arguments are
mandatory but filename may be `None`.
"""
key = self.get_cache_key(name, filename)
checksum = self.get_source_checksum(source)
bucket = Bucket(environment, key, checksum)
self.load_bytecode(bucket)
return bucket
def set_bucket(self, bucket: Bucket) -> None:
"""Put the bucket into the cache."""
self.dump_bytecode(bucket)
class FileSystemBytecodeCache(BytecodeCache):
"""A bytecode cache that stores bytecode on the filesystem. It accepts
two arguments: The directory where the cache items are stored and a
pattern string that is used to build the filename.
If no directory is specified a default cache directory is selected. On
Windows the user's temp directory is used, on UNIX systems a directory
is created for the user in the system temp directory.
The pattern can be used to have multiple separate caches operate on the
same directory. The default pattern is ``'__jinja2_%s.cache'``. ``%s``
is replaced with the cache key.
>>> bcc = FileSystemBytecodeCache('/tmp/jinja_cache', '%s.cache')
This bytecode cache supports clearing of the cache using the clear method.
"""
def __init__(
self, directory: t.Optional[str] = None, pattern: str = "__jinja2_%s.cache"
) -> None:
if directory is None:
directory = self._get_default_cache_dir()
self.directory = directory
self.pattern = pattern
def _get_default_cache_dir(self) -> str:
def _unsafe_dir() -> "te.NoReturn":
raise RuntimeError(
"Cannot determine safe temp directory. You "
"need to explicitly provide one."
)
tmpdir = tempfile.gettempdir()
# On windows the temporary directory is used specific unless
# explicitly forced otherwise. We can just use that.
if os.name == "nt":
return tmpdir
if not hasattr(os, "getuid"):
_unsafe_dir()
dirname = f"_jinja2-cache-{os.getuid()}"
actual_dir = os.path.join(tmpdir, dirname)
try:
os.mkdir(actual_dir, stat.S_IRWXU)
except OSError as e:
if e.errno != errno.EEXIST:
raise
try:
os.chmod(actual_dir, stat.S_IRWXU)
actual_dir_stat = os.lstat(actual_dir)
if (
actual_dir_stat.st_uid != os.getuid()
or not stat.S_ISDIR(actual_dir_stat.st_mode)
or stat.S_IMODE(actual_dir_stat.st_mode) != stat.S_IRWXU
):
_unsafe_dir()
except OSError as e:
if e.errno != errno.EEXIST:
raise
actual_dir_stat = os.lstat(actual_dir)
if (
actual_dir_stat.st_uid != os.getuid()
or not stat.S_ISDIR(actual_dir_stat.st_mode)
or stat.S_IMODE(actual_dir_stat.st_mode) != stat.S_IRWXU
):
_unsafe_dir()
return actual_dir
def _get_cache_filename(self, bucket: Bucket) -> str:
return os.path.join(self.directory, self.pattern % (bucket.key,))
def load_bytecode(self, bucket: Bucket) -> None:
filename = self._get_cache_filename(bucket)
if os.path.exists(filename):
with open(filename, "rb") as f:
bucket.load_bytecode(f)
def dump_bytecode(self, bucket: Bucket) -> None:
with open(self._get_cache_filename(bucket), "wb") as f:
bucket.write_bytecode(f)
def clear(self) -> None:
# imported lazily here because google app-engine doesn't support
# write access on the file system and the function does not exist
# normally.
from os import remove
files = fnmatch.filter(os.listdir(self.directory), self.pattern % ("*",))
for filename in files:
try:
remove(os.path.join(self.directory, filename))
except OSError:
pass
class MemcachedBytecodeCache(BytecodeCache):
"""This class implements a bytecode cache that uses a memcache cache for
storing the information. It does not enforce a specific memcache library
(tummy's memcache or cmemcache) but will accept any class that provides
the minimal interface required.
Libraries compatible with this class:
- `cachelib <https://github.com/pallets/cachelib>`_
- `python-memcached <https://pypi.org/project/python-memcached/>`_
(Unfortunately the django cache interface is not compatible because it
does not support storing binary data, only text. You can however pass
the underlying cache client to the bytecode cache which is available
as `django.core.cache.cache._client`.)
The minimal interface for the client passed to the constructor is this:
.. class:: MinimalClientInterface
.. method:: set(key, value[, timeout])
Stores the bytecode in the cache. `value` is a string and
`timeout` the timeout of the key. If timeout is not provided
a default timeout or no timeout should be assumed, if it's
provided it's an integer with the number of seconds the cache
item should exist.
.. method:: get(key)
Returns the value for the cache key. If the item does not
exist in the cache the return value must be `None`.
The other arguments to the constructor are the prefix for all keys that
is added before the actual cache key and the timeout for the bytecode in
the cache system. We recommend a high (or no) timeout.
This bytecode cache does not support clearing of used items in the cache.
The clear method is a no-operation function.
.. versionadded:: 2.7
Added support for ignoring memcache errors through the
`ignore_memcache_errors` parameter.
"""
def __init__(
self,
client: "_MemcachedClient",
prefix: str = "jinja2/bytecode/",
timeout: t.Optional[int] = None,
ignore_memcache_errors: bool = True,
):
self.client = client
self.prefix = prefix
self.timeout = timeout
self.ignore_memcache_errors = ignore_memcache_errors
def load_bytecode(self, bucket: Bucket) -> None:
try:
code = self.client.get(self.prefix + bucket.key)
except Exception:
if not self.ignore_memcache_errors:
raise
else:
bucket.bytecode_from_string(code)
def dump_bytecode(self, bucket: Bucket) -> None:
key = self.prefix + bucket.key
value = bucket.bytecode_to_string()
try:
if self.timeout is not None:
self.client.set(key, value, self.timeout)
else:
self.client.set(key, value)
except Exception:
if not self.ignore_memcache_errors:
raise
Mini Shell