Refactored and cleaned up the idmapper directory; it's been so changed by evennia that it makes little sense to keep the original structure (which was intended for adding an app into). Resolved the unittest errors with the idmapper.
This commit is contained in:
parent
1a3e0481c7
commit
68d294d007
16 changed files with 642 additions and 673 deletions
531
evennia/utils/idmapper/models.py
Executable file → Normal file
531
evennia/utils/idmapper/models.py
Executable file → Normal file
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@ -1,2 +1,529 @@
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from django.db.models import *
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from base import SharedMemoryModel, WeakSharedMemoryModel
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"""
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Django ID mapper
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Modified for Evennia by making sure that no model references
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leave caching unexpectedly (no use of WeakRefs).
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Also adds cache_size() for monitoring the size of the cache.
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"""
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import os, threading, gc, time
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#from twisted.internet import reactor
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#from twisted.internet.threads import blockingCallFromThread
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from weakref import WeakValueDictionary
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from twisted.internet.reactor import callFromThread
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from django.core.exceptions import ObjectDoesNotExist, FieldError
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from django.db.models.signals import post_save
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from django.db.models.base import Model, ModelBase
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from django.db.models.signals import pre_delete, post_syncdb
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from evennia.utils import logger
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from evennia.utils.utils import dbref, get_evennia_pids, to_str
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from manager import SharedMemoryManager
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AUTO_FLUSH_MIN_INTERVAL = 60.0 * 5 # at least 5 mins between cache flushes
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_GA = object.__getattribute__
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_SA = object.__setattr__
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_DA = object.__delattr__
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# References to db-updated objects are stored here so the
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# main process can be informed to re-cache itself.
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PROC_MODIFIED_COUNT = 0
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PROC_MODIFIED_OBJS = WeakValueDictionary()
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# get info about the current process and thread; determine if our
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# current pid is different from the server PID (i.e. # if we are in a
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# subprocess or not)
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_SELF_PID = os.getpid()
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_SERVER_PID, _PORTAL_PID = get_evennia_pids()
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_IS_SUBPROCESS = (_SERVER_PID and _PORTAL_PID) and not _SELF_PID in (_SERVER_PID, _PORTAL_PID)
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_IS_MAIN_THREAD = threading.currentThread().getName() == "MainThread"
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class SharedMemoryModelBase(ModelBase):
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# CL: upstream had a __new__ method that skipped ModelBase's __new__ if
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# SharedMemoryModelBase was not in the model class's ancestors. It's not
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# clear what was the intended purpose, but skipping ModelBase.__new__
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# broke things; in particular, default manager inheritance.
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def __call__(cls, *args, **kwargs):
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"""
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this method will either create an instance (by calling the default implementation)
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or try to retrieve one from the class-wide cache by infering the pk value from
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args and kwargs. If instance caching is enabled for this class, the cache is
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populated whenever possible (ie when it is possible to infer the pk value).
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"""
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def new_instance():
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return super(SharedMemoryModelBase, cls).__call__(*args, **kwargs)
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instance_key = cls._get_cache_key(args, kwargs)
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# depending on the arguments, we might not be able to infer the PK, so in that case we create a new instance
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if instance_key is None:
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return new_instance()
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cached_instance = cls.get_cached_instance(instance_key)
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if cached_instance is None:
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cached_instance = new_instance()
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cls.cache_instance(cached_instance, new=True)
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return cached_instance
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def _prepare(cls):
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"""
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Prepare the cache, making sure that proxies of the same db base
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share the same cache.
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"""
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# the dbmodel is either the proxy base or ourselves
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dbmodel = cls._meta.proxy_for_model if cls._meta.proxy else cls
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cls.__dbclass__ = dbmodel
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dbmodel._idmapper_recache_protection = False
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if not hasattr(dbmodel, "__instance_cache__"):
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# we store __instance_cache__ only on the dbmodel base
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dbmodel.__instance_cache__ = {}
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super(SharedMemoryModelBase, cls)._prepare()
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def __new__(cls, name, bases, attrs):
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"""
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Field shortcut creation:
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Takes field names db_* and creates property wrappers named without the db_ prefix. So db_key -> key
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This wrapper happens on the class level, so there is no overhead when creating objects. If a class
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already has a wrapper of the given name, the automatic creation is skipped. Note: Remember to
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document this auto-wrapping in the class header, this could seem very much like magic to the user otherwise.
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"""
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attrs["typename"] = cls.__name__
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attrs["path"] = "%s.%s" % (attrs["__module__"], name)
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attrs["_is_deleted"] = False
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# set up the typeclass handling only if a variable _is_typeclass is set on the class
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def create_wrapper(cls, fieldname, wrappername, editable=True, foreignkey=False):
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"Helper method to create property wrappers with unique names (must be in separate call)"
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def _get(cls, fname):
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"Wrapper for getting database field"
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#print "_get:", fieldname, wrappername,_GA(cls,fieldname)
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if _GA(cls, "_is_deleted"):
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raise ObjectDoesNotExist("Cannot access %s: Hosting object was already deleted." % fname)
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return _GA(cls, fieldname)
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def _get_foreign(cls, fname):
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"Wrapper for returing foreignkey fields"
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if _GA(cls, "_is_deleted"):
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raise ObjectDoesNotExist("Cannot access %s: Hosting object was already deleted." % fname)
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return _GA(cls, fieldname)
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def _set_nonedit(cls, fname, value):
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"Wrapper for blocking editing of field"
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raise FieldError("Field %s cannot be edited." % fname)
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def _set(cls, fname, value):
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"Wrapper for setting database field"
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if _GA(cls, "_is_deleted"):
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raise ObjectDoesNotExist("Cannot set %s to %s: Hosting object was already deleted!" % (fname, value))
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_SA(cls, fname, value)
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# only use explicit update_fields in save if we actually have a
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# primary key assigned already (won't be set when first creating object)
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update_fields = [fname] if _GA(cls, "_get_pk_val")(_GA(cls, "_meta")) is not None else None
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_GA(cls, "save")(update_fields=update_fields)
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def _set_foreign(cls, fname, value):
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"Setter only used on foreign key relations, allows setting with #dbref"
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if _GA(cls, "_is_deleted"):
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raise ObjectDoesNotExist("Cannot set %s to %s: Hosting object was already deleted!" % (fname, value))
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try:
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value = _GA(value, "dbobj")
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except AttributeError:
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pass
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if isinstance(value, (basestring, int)):
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value = to_str(value, force_string=True)
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if (value.isdigit() or value.startswith("#")):
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# we also allow setting using dbrefs, if so we try to load the matching object.
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# (we assume the object is of the same type as the class holding the field, if
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# not a custom handler must be used for that field)
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dbid = dbref(value, reqhash=False)
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if dbid:
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model = _GA(cls, "_meta").get_field(fname).model
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try:
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value = model._default_manager.get(id=dbid)
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except ObjectDoesNotExist:
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# maybe it is just a name that happens to look like a dbid
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pass
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_SA(cls, fname, value)
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# only use explicit update_fields in save if we actually have a
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# primary key assigned already (won't be set when first creating object)
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update_fields = [fname] if _GA(cls, "_get_pk_val")(_GA(cls, "_meta")) is not None else None
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_GA(cls, "save")(update_fields=update_fields)
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def _del_nonedit(cls, fname):
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"wrapper for not allowing deletion"
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raise FieldError("Field %s cannot be edited." % fname)
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def _del(cls, fname):
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"Wrapper for clearing database field - sets it to None"
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_SA(cls, fname, None)
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update_fields = [fname] if _GA(cls, "_get_pk_val")(_GA(cls, "_meta")) is not None else None
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_GA(cls, "save")(update_fields=update_fields)
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# wrapper factories
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fget = lambda cls: _get(cls, fieldname)
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if not editable:
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fset = lambda cls, val: _set_nonedit(cls, fieldname, val)
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elif foreignkey:
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fget = lambda cls: _get_foreign(cls, fieldname)
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fset = lambda cls, val: _set_foreign(cls, fieldname, val)
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else:
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fset = lambda cls, val: _set(cls, fieldname, val)
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fdel = lambda cls: _del(cls, fieldname) if editable else _del_nonedit(cls,fieldname)
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# assigning
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attrs[wrappername] = property(fget, fset, fdel)
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#type(cls).__setattr__(cls, wrappername, property(fget, fset, fdel))#, doc))
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# exclude some models that should not auto-create wrapper fields
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if cls.__name__ in ("ServerConfig", "TypeNick"):
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return
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# dynamically create the wrapper properties for all fields not already handled (manytomanyfields are always handlers)
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for fieldname, field in ((fname, field) for fname, field in attrs.items()
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if fname.startswith("db_") and type(field).__name__ != "ManyToManyField"):
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foreignkey = type(field).__name__ == "ForeignKey"
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#print fieldname, type(field).__name__, field
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wrappername = "dbid" if fieldname == "id" else fieldname.replace("db_", "", 1)
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#print fieldname, wrappername
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if wrappername not in attrs:
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# makes sure not to overload manually created wrappers on the model
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#print "wrapping %s -> %s" % (fieldname, wrappername)
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create_wrapper(cls, fieldname, wrappername, editable=field.editable, foreignkey=foreignkey)
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return super(SharedMemoryModelBase, cls).__new__(cls, name, bases, attrs)
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class SharedMemoryModel(Model):
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"""
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Base class for idmapped objects. Inherit from this.
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"""
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# CL: setting abstract correctly to allow subclasses to inherit the default
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# manager.
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__metaclass__ = SharedMemoryModelBase
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objects = SharedMemoryManager()
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class Meta:
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abstract = True
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@classmethod
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def _get_cache_key(cls, args, kwargs):
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"""
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This method is used by the caching subsystem to infer the PK value from the constructor arguments.
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It is used to decide if an instance has to be built or is already in the cache.
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"""
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result = None
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# Quick hack for my composites work for now.
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if hasattr(cls._meta, 'pks'):
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pk = cls._meta.pks[0]
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else:
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pk = cls._meta.pk
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# get the index of the pk in the class fields. this should be calculated *once*, but isn't atm
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pk_position = cls._meta.fields.index(pk)
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if len(args) > pk_position:
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# if it's in the args, we can get it easily by index
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result = args[pk_position]
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elif pk.attname in kwargs:
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# retrieve the pk value. Note that we use attname instead of name, to handle the case where the pk is a
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# a ForeignKey.
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result = kwargs[pk.attname]
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elif pk.name != pk.attname and pk.name in kwargs:
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# ok we couldn't find the value, but maybe it's a FK and we can find the corresponding object instead
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result = kwargs[pk.name]
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if result is not None and isinstance(result, Model):
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# if the pk value happens to be a model instance (which can happen wich a FK), we'd rather use its own pk as the key
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result = result._get_pk_val()
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return result
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#_get_cache_key = classmethod(_get_cache_key)
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@classmethod
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def get_cached_instance(cls, id):
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"""
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Method to retrieve a cached instance by pk value. Returns None when not found
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(which will always be the case when caching is disabled for this class). Please
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note that the lookup will be done even when instance caching is disabled.
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"""
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return cls.__dbclass__.__instance_cache__.get(id)
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@classmethod
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def cache_instance(cls, instance, new=False):
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"""
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Method to store an instance in the cache.
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Args:
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instance (Class instance): the instance to cache
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new (bool, optional): this is the first time this
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instance is cached (i.e. this is not an update
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operation).
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"""
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if instance._get_pk_val() is not None:
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cls.__dbclass__.__instance_cache__[instance._get_pk_val()] = instance
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if new:
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try:
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# trigger the at_init hook only
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# at first initialization
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instance.at_init()
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except AttributeError:
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pass
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@classmethod
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def get_all_cached_instances(cls):
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"return the objects so far cached by idmapper for this class."
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return cls.__dbclass__.__instance_cache__.values()
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@classmethod
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def _flush_cached_by_key(cls, key, force=True):
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"Remove the cached reference."
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try:
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if force or not cls._idmapper_recache_protection:
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del cls.__dbclass__.__instance_cache__[key]
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except KeyError:
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pass
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@classmethod
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def flush_cached_instance(cls, instance, force=True):
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"""
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Method to flush an instance from the cache. The instance will
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always be flushed from the cache, since this is most likely
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called from delete(), and we want to make sure we don't cache
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dead objects.
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"""
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cls._flush_cached_by_key(instance._get_pk_val(), force=force)
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#flush_cached_instance = classmethod(flush_cached_instance)
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@classmethod
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def flush_instance_cache(cls, force=False):
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"""
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This will clean safe objects from the cache. Use force
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keyword to remove all objects, safe or not.
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"""
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if force:
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cls.__dbclass__.__instance_cache__ = {}
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else:
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cls.__dbclass__.__instance_cache__ = dict((key, obj) for key, obj in cls.__dbclass__.__instance_cache__.items()
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if obj._idmapper_recache_protection)
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#flush_instance_cache = classmethod(flush_instance_cache)
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# per-instance methods
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def flush_from_cache(self, force=False):
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"""
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Flush this instance from the instance cache. Use
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force to override recache_protection for the object.
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"""
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if self.pk and (force or not self._idmapper_recache_protection):
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self.__class__.__dbclass__.__instance_cache__.pop(self.pk, None)
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def set_recache_protection(self, mode=True):
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"set if this instance should be allowed to be recached."
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self._idmapper_recache_protection = bool(mode)
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def delete(self, *args, **kwargs):
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"""
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Delete the object, clearing cache
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"""
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self.flush_from_cache()
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self._is_deleted = True
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super(SharedMemoryModel, self).delete(*args, **kwargs)
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def save(self, *args, **kwargs):
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"save method tracking process/thread issues"
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if _IS_SUBPROCESS:
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# we keep a store of objects modified in subprocesses so
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# we know to update their caches in the central process
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global PROC_MODIFIED_COUNT, PROC_MODIFIED_OBJS
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PROC_MODIFIED_COUNT += 1
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PROC_MODIFIED_OBJS[PROC_MODIFIED_COUNT] = self
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if _IS_MAIN_THREAD:
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# in main thread - normal operation
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super(SharedMemoryModel, self).save(*args, **kwargs)
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else:
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# in another thread; make sure to save in reactor thread
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def _save_callback(cls, *args, **kwargs):
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super(SharedMemoryModel, cls).save(*args, **kwargs)
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callFromThread(_save_callback, self, *args, **kwargs)
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# update field-update hooks and eventual OOB watchers
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if "update_fields" in kwargs and kwargs["update_fields"]:
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# get field objects from their names
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update_fields = (self._meta.get_field_by_name(field)[0]
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for field in kwargs.get("update_fields"))
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else:
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# meta.fields are already field objects; get them all
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update_fields = self._meta.fields
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for field in update_fields:
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fieldname = field.name
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# if a hook is defined it must be named exactly on this form
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hookname = "_at_%s_postsave" % fieldname
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if hasattr(self, hookname) and callable(_GA(self, hookname)):
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_GA(self, hookname)()
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# if a trackerhandler is set on this object, update it with the
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# fieldname and the new value
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fieldtracker = "_oob_at_%s_postsave" % fieldname
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if hasattr(self, fieldtracker):
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_GA(self, fieldtracker)(self, fieldname)
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class WeakSharedMemoryModelBase(SharedMemoryModelBase):
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"""
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Uses a WeakValue dictionary for caching instead of a regular one
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"""
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def _prepare(cls):
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super(WeakSharedMemoryModelBase, cls)._prepare()
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cls.__dbclass__.__instance_cache__ = WeakValueDictionary()
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cls._idmapper_recache_protection = False
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class WeakSharedMemoryModel(SharedMemoryModel):
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"""
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Uses a WeakValue dictionary for caching instead of a regular one
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"""
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__metaclass__ = WeakSharedMemoryModelBase
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class Meta:
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abstract = True
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def flush_cache(**kwargs):
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"""
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Flush idmapper cache. When doing so the cache will
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look for a property _idmapper_cache_flush_safe on the
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class/subclass instance and only flush if this
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is True.
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Uses a signal so we make sure to catch cascades.
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"""
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def class_hierarchy(clslist):
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"""Recursively yield a class hierarchy"""
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for cls in clslist:
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subclass_list = cls.__subclasses__()
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if subclass_list:
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for subcls in class_hierarchy(subclass_list):
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yield subcls
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else:
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yield cls
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#print "start flush ..."
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for cls in class_hierarchy([SharedMemoryModel]):
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#print cls
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cls.flush_instance_cache()
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# run the python garbage collector
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return gc.collect()
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#request_finished.connect(flush_cache)
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post_syncdb.connect(flush_cache)
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def flush_cached_instance(sender, instance, **kwargs):
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"""
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Flush the idmapper cache only for a given instance
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"""
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# XXX: Is this the best way to make sure we can flush?
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if not hasattr(instance, 'flush_cached_instance'):
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return
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sender.flush_cached_instance(instance, force=True)
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pre_delete.connect(flush_cached_instance)
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def update_cached_instance(sender, instance, **kwargs):
|
||||
"""
|
||||
Re-cache the given instance in the idmapper cache
|
||||
"""
|
||||
if not hasattr(instance, 'cache_instance'):
|
||||
return
|
||||
sender.cache_instance(instance)
|
||||
post_save.connect(update_cached_instance)
|
||||
|
||||
|
||||
LAST_FLUSH = None
|
||||
def conditional_flush(max_rmem, force=False):
|
||||
"""
|
||||
Flush the cache if the estimated memory usage exceeds max_rmem.
|
||||
|
||||
The flusher has a timeout to avoid flushing over and over
|
||||
in particular situations (this means that for some setups
|
||||
the memory usage will exceed the requirement and a server with
|
||||
more memory is probably required for the given game)
|
||||
|
||||
force - forces a flush, regardless of timeout.
|
||||
"""
|
||||
global LAST_FLUSH
|
||||
|
||||
def mem2cachesize(desired_rmem):
|
||||
"""
|
||||
Estimate the size of the idmapper cache based on the memory
|
||||
desired. This is used to optionally cap the cache size.
|
||||
|
||||
desired_rmem - memory in MB (minimum 50MB)
|
||||
|
||||
The formula is empirically estimated from usage tests (Linux)
|
||||
and is
|
||||
Ncache = RMEM - 35.0 / 0.0157
|
||||
where RMEM is given in MB and Ncache is the size of the cache
|
||||
for this memory usage. VMEM tends to be about 100MB higher
|
||||
than RMEM for large memory usage.
|
||||
"""
|
||||
vmem = max(desired_rmem, 50.0)
|
||||
Ncache = int(abs(float(vmem) - 35.0) / 0.0157)
|
||||
return Ncache
|
||||
|
||||
if not max_rmem:
|
||||
# auto-flush is disabled
|
||||
return
|
||||
|
||||
now = time.time()
|
||||
if not LAST_FLUSH:
|
||||
# server is just starting
|
||||
LAST_FLUSH = now
|
||||
return
|
||||
|
||||
if ((now - LAST_FLUSH) < AUTO_FLUSH_MIN_INTERVAL) and not force:
|
||||
# too soon after last flush.
|
||||
logger.log_warnmsg("Warning: Idmapper flush called more than "\
|
||||
"once in %s min interval. Check memory usage." % (AUTO_FLUSH_MIN_INTERVAL/60.0))
|
||||
return
|
||||
|
||||
if os.name == "nt":
|
||||
# we can't look for mem info in Windows at the moment
|
||||
return
|
||||
|
||||
# check actual memory usage
|
||||
Ncache_max = mem2cachesize(max_rmem)
|
||||
Ncache, _ = cache_size()
|
||||
actual_rmem = float(os.popen('ps -p %d -o %s | tail -1' % (os.getpid(), "rss")).read()) / 1000.0 # resident memory
|
||||
|
||||
if Ncache >= Ncache_max and actual_rmem > max_rmem * 0.9:
|
||||
# flush cache when number of objects in cache is big enough and our
|
||||
# actual memory use is within 10% of our set max
|
||||
flush_cache()
|
||||
LAST_FLUSH = now
|
||||
|
||||
def cache_size(mb=True):
|
||||
"""
|
||||
Calculate statistics about the cache.
|
||||
|
||||
Note: we cannot get reliable memory statistics from the cache -
|
||||
whereas we could do getsizof each object in cache, the result is
|
||||
highly imprecise and for a large number of object the result is
|
||||
many times larger than the actual memory use of the entire server;
|
||||
Python is clearly reusing memory behind the scenes that we cannot
|
||||
catch in an easy way here. Ideas are appreciated. /Griatch
|
||||
|
||||
Returns
|
||||
total_num, {objclass:total_num, ...}
|
||||
"""
|
||||
numtotal = [0] # use mutable to keep reference through recursion
|
||||
classdict = {}
|
||||
def get_recurse(submodels):
|
||||
for submodel in submodels:
|
||||
subclasses = submodel.__subclasses__()
|
||||
if not subclasses:
|
||||
num = len(submodel.get_all_cached_instances())
|
||||
numtotal[0] += num
|
||||
classdict[submodel.__name__] = num
|
||||
else:
|
||||
get_recurse(subclasses)
|
||||
get_recurse(SharedMemoryModel.__subclasses__())
|
||||
return numtotal[0], classdict
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue