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bccache.cpython-310.pyc
o g[a~1 @ s d Z ddlZddlZddlZddlZddlZddlZddlZddlZddl Z ddl m Z ddl mZ ddlmZ e jrNddlZddlmZ G dd d ejZd Zd eed eejd d > ejd B d ZG dd dZ G dd dZ G dd de Z G dd de Z dS )a 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. N)sha1)BytesIO)CodeType ) Environmentc @ s@ e Zd ZdedefddZd dededeje ddfdd Z dS ) _MemcachedClientkeyreturnc C d S N )selfr r r 0/usr/lib/python3/dist-packages/jinja2/bccache.pyget z_MemcachedClient.getNvaluetimeoutc C r r r )r r r r r r r set r z_MemcachedClient.setr ) __name__ __module__ __qualname__strbytesr tOptionalintr r r r r r s &r s j2 c @ s| e Zd ZdZdddededdfdd Zdd d Zd ejddfd dZ d ejddfddZ de ddfddZ de fddZ dS )Bucketau 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 The buckets get an internal checksum from the cache assigned and use this to automatically reject outdated cache material.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. environmentr r checksumr Nc C s || _ || _|| _| d S r )r r r! reset)r r r r! r r r __init__5 s zBucket.__init__c C s d| _ dS )z)Resets the bucket (unloads the bytecode).N)coder r r r r" ; s z Bucket.resetfc C sx | tt}|tkr| dS t|}| j|kr!| dS z t|| _W dS t t t fy; | Y dS w )z/Loads bytecode from a file or file like object.N) readlenbc_magicr" pickleloadr! marshalr$ EOFError ValueError TypeError)r r& magicr! r r r load_bytecode? s zBucket.load_bytecodec C s> | j du r td|t t| j|d t| j | dS )z;Dump the bytecode into the file or file like object passed.Nzcan't write empty bucketr )r$ r/ writer) r* dumpr! r, )r r& r r r write_bytecodeR s zBucket.write_bytecodestringc C s | t| dS )zLoad bytecode from bytes.N)r1 r )r r5 r r r bytecode_from_stringZ zBucket.bytecode_from_stringc C s t }| | | S )z Return the bytecode as bytes.)r r4 getvalue)r outr r r bytecode_to_string^ s zBucket.bytecode_to_stringr N)r r r __doc__r r# r" r BinaryIOr1 r4 r r6 r: r r r r r , s r c @ s e Zd ZdZdeddfddZdeddfddZdd d Z dd ed e j e j e defd dZ dedefddZ ddd ed e j e dedef ddZdeddfddZdS ) BytecodeCachea 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. bucketr Nc C t )zSubclasses 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. NotImplementedErrorr r? r r r r1 zBytecodeCache.load_bytecodec C r@ )zSubclasses 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. rA rC r r r dump_bytecode rD zBytecodeCache.dump_bytecodec C s dS )zClears 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. Nr r% r r r clear s zBytecodeCache.clearnamefilenamec C s2 t |d}|dur|d| | S )z3Returns the unique hash key for this template name.utf-8N|)r encodeupdate hexdigest)r rG rH hashr r r get_cache_key s zBytecodeCache.get_cache_keysourcec C s t |d S )z"Returns a checksum for the source.rI )r rK rM )r rP r r r get_source_checksum r7 z!BytecodeCache.get_source_checksumr r c C s0 | ||}| |}t|||}| | |S )zwReturn a cache bucket for the given template. All arguments are mandatory but filename may be `None`. )rO rQ r r1 )r r rG rH rP r r! r? r r r get_bucket s zBytecodeCache.get_bucketc C s | | dS )z Put the bucket into the cache.N)rE rC r r r set_bucket s zBytecodeCache.set_bucketr; r )r r r r< r r1 rE rF r r r UnionrO rQ rR rS r r r r r> e s4 r> c @ s~ e Zd ZdZ ddeje deddfddZdefd d Zd e defd d Z d e ddfddZ d e ddfddZ dddZ dS )FileSystemBytecodeCachea 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. N__jinja2_%s.cache directorypatternr c C s |d u r| }|| _|| _d S r )_get_default_cache_dirrW rX )r rW rX r r r r# s z FileSystemBytecodeCache.__init__c C sT ddd}t }tjdkr|S ttds| dt }tj||}z t|t j W n t yH } z |j t j kr> W Y d }~nd }~ww z't|t j t|}|jt kslt |jrlt |jt j kro| W n t y } z |j t j kr W Y d }~nd }~ww t|}|jt kst |jrt |jt j kr| |S ) Nr te.NoReturnc S s t d)NzJCannot determine safe temp directory. You need to explicitly provide one.) RuntimeErrorr r r r _unsafe_dir s zCFileSystemBytecodeCache._get_default_cache_dir.<locals>._unsafe_dirntgetuidz_jinja2-cache-)r rZ )tempfile gettempdirosrG hasattrr^ pathjoinmkdirstatS_IRWXUOSErrorerrnoEEXISTchmodlstatst_uidS_ISDIRst_modeS_IMODE)r r\ tmpdirdirname actual_direactual_dir_statr r r rY sL z.FileSystemBytecodeCache._get_default_cache_dirr? c C s t j| j| j|jf S r )ra rc rd rW rX r rC r r r _get_cache_filename s z+FileSystemBytecodeCache._get_cache_filenamec C sT | |}tj|r(t|d}|| W d d S 1 s!w Y d S d S )Nrb)rv ra rc existsopenr1 )r r? rH r& r r r r1 s "z%FileSystemBytecodeCache.load_bytecodec C s@ t | |d}|| W d d S 1 sw Y d S )Nwb)ry rv r4 )r r? r& r r r rE s "z%FileSystemBytecodeCache.dump_bytecodec C s^ ddl m} tt | j| jd }|D ]}z |t j| j| W q t y, Y qw d S )Nr )remove)*) ra r{ fnmatchfilterlistdirrW rX rc rd rh )r r{ filesrH r r r rF s z FileSystemBytecodeCache.clear)NrV r; )r r r r< r r r r# rY r rv r1 rE rF r r r r rU s /rU c @ s\ e Zd ZdZ ddddedeje d efd d Z d e d dfddZ d e d dfddZ dS )MemcachedBytecodeCachea' 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. jinja2/bytecode/NTclientr prefixr ignore_memcache_errorsc C s || _ || _|| _|| _d S r )r r r r )r r r r r r r r r# L s z MemcachedBytecodeCache.__init__r? r c C sD z | j | j|j }W n ty | js Y d S w || d S r )r r r r Exceptionr r6 )r r? r$ r r r r1 X s z$MemcachedBytecodeCache.load_bytecodec C sh | j |j }| }z| jd ur | j||| j W d S | j|| W d S ty3 | js0 Y d S w r )r r r: r r r r r )r r? r r r r r rE a s z$MemcachedBytecodeCache.dump_bytecode)r NT) r r r r< r r r r boolr# r r1 rE r r r r r s / r ) r< ri r} r, ra r* rf sysr_ typingr hashlibr ior typesr TYPE_CHECKINGtyping_extensionster r Protocolr bc_versiondumps version_infor) r r> rU r r r r r <module> s8 9Ue