Added new process-pool runner based on AMPoule (integrated into Evennia).

This allows e.g. utils.utils.run_async to offload long-running functions
to a completely different subprocess entirely, offering real parallelism.

Implementation is still experimental, notably not all objects can be
transferred safely across the wire; also there is no concept of
updating caches yet - so adding an object from the subprocess side
will not be known in the main thread yet (since caches cannot yet tell
the underlying database has changed).
This commit is contained in:
Griatch 2012-09-02 10:10:22 +02:00
parent dcc7f29a91
commit f5a889e40c
22 changed files with 2322 additions and 60 deletions

View file

@ -128,6 +128,11 @@ class SharedMemoryModel(Model):
cls.__instance_cache__ = {} #WeakValueDictionary()
flush_instance_cache = classmethod(flush_instance_cache)
def save(cls, *args, **kwargs):
"overload spot for saving"
super(SharedMemoryModel, cls).save(*args, **kwargs)
# Use a signal so we make sure to catch cascades.
def flush_cache(**kwargs):
for model in SharedMemoryModel.__subclasses__():