Overview
In all the IPerspective
uses
we have shown so far, we ignored the mind
argument and created
a new Avatar
for every connection. This is usually an easy
design choice, and it works well for simple cases.
In more complicated cases, for example an Avatar
that
represents a player object which is persistent in the game universe,
we will want connections from the same player to use the same
Avatar
.
Another thing which is necessary in more complicated scenarios
is notifying a player asynchronously. While it is possible, of
course, to allow a player to call
perspective_remoteListener(referencable)
that would
mean both duplication of code and a higher latency in logging in,
both bad.
In previous sections all realms looked to be identical. In this one we will show the usefulness of realms in accomplishing those two objectives.
Managing Avatars
The simplest way to manage persistent avatars is to use a straight-forward caching mechanism:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
from zope.interface import implements class SimpleAvatar(pb.Avatar): greetings = 0 def __init__(self, name): self.name = name def perspective_greet(self): self.greetings += 1 return "<%d>hello %s" % (self.greetings, self.name) class CachingRealm: implements(portal.IRealm) def __init__(self): self.avatars = {} def requestAvatar(self, avatarId, mind, *interfaces): if pb.IPerspective not in interfaces: raise NotImplementedError if avatarId in self.avatars: p = self.avatars[avatarId] else: p = self.avatars[avatarId] = SimpleAvatar(avatarId) return pb.IPerspective, p, lambda:None
This gives us a perspective which counts the number of greetings it
sent its client. Implementing a caching strategy, as opposed to generating
a realm with the correct avatars already in it, is usually easier. This
makes adding new checkers to the portal, or adding new users to a checker
database, transparent. Otherwise, careful synchronization is needed between
the checker and avatar is needed (much like the synchronization between
UNIX's /etc/shadow
and /etc/passwd
).
Sometimes, however, an avatar will need enough per-connection state that it would be easier to generate a new avatar and cache something else. Here is an example of that:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
from zope.interface import implements class Greeter: greetings = 0 def hello(self): self.greetings += 1 return "<%d>hello" % (self.greetings, self.name) class SimpleAvatar(pb.Avatar): def __init__(self, name, greeter): self.name = name self.greeter = greeter def perspective_greet(self): return self.greeter.hello()+' '+self.name class CachingRealm: implements(portal.IRealm) def __init__(self): self.greeters = {} def requestAvatar(self, avatarId, mind, *interfaces): if pb.IPerspective not in interfaces: raise NotImplementedError if avatarId in self.greeters: p = self.greeters[avatarId] else: p = self.greeters[avatarId] = Greeter() return pb.IPerspective, SimpleAvatar(avatarId, p), lambda:None
It might seem tempting to use this pattern to have an avatar which is notified of new connections. However, the problems here are twofold: it would lead to a thin class which needs to forward all of its methods, and it would be impossible to know when disconnections occur. Luckily, there is a better pattern:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29
from zope.interface import implements class SimpleAvatar(pb.Avatar): greetings = 0 connections = 0 def __init__(self, name): self.name = name def connect(self): self.connections += 1 def disconnect(self): self.connections -= 1 def perspective_greet(self): self.greetings += 1 return "<%d>hello %s" % (self.greetings, self.name) class CachingRealm: implements(portal.IRealm) def __init__(self): self.avatars = {} def requestAvatar(self, avatarId, mind, *interfaces): if pb.IPerspective not in interfaces: raise NotImplementedError if avatarId in self.avatars: p = self.avatars[avatarId] else: p = self.avatars[avatarId] = SimpleAvatar(avatarId) p.connect() return pb.IPerspective, p, p.disconnect
It is possible to use such a pattern to define an arbitrary limit for the number of concurrent connections:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32
from zope.interface import implements class SimpleAvatar(pb.Avatar): greetings = 0 connections = 0 def __init__(self, name): self.name = name def connect(self): self.connections += 1 def disconnect(self): self.connections -= 1 def perspective_greet(self): self.greetings += 1 return "<%d>hello %s" % (self.greetings, self.name) class CachingRealm: implements(portal.IRealm) def __init__(self, max=1): self.avatars = {} self.max = max def requestAvatar(self, avatarId, mind, *interfaces): if pb.IPerspective not in interfaces: raise NotImplementedError if avatarId in self.avatars: p = self.avatars[avatarId] else: p = self.avatars[avatarId] = SimpleAvatar(avatarId) if p.connections >= self.max: raise ValueError("too many connections") p.connect() return pb.IPerspective, p, p.disconnect
Managing Clients
So far, all our realms have ignored the mind
argument.
In the case of PB, the mind
is an object supplied by
the remote login method -- usually, when it passes over the wire,
it becomes a pb.RemoteReference
. This object allows
sending messages to the client as soon as the connection is established
and authenticated.
Here is a simple remote-clock application which shows the usefulness
of the mind
argument:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
from zope.interface import implements class SimpleAvatar(pb.Avatar): def __init__(self, client): self.s = internet.TimerService(1, self.telltime) self.s.startService() self.client = client def telltime(self): self.client.callRemote("notifyTime", time.time()) def perspective_setperiod(self, period): self.s.stopService() self.s = internet.TimerService(period, self.telltime) self.s.startService() def logout(self): self.s.stopService() class Realm: implements(portal.IRealm) def requestAvatar(self, avatarId, mind, *interfaces): if pb.IPerspective not in interfaces: raise NotImplementedError p = SimpleAvatar(mind) return pb.IPerspective, p, p.logout
In more complicated situations, you might want to cache the avatars
and give each one a set of current clients
or something similar.