def startModelLoadingAsync(self):
"""
NOTE: this seems to invoke a few bugs (crashes, sporadic model
reading errors, etc) so is disabled for now...
"""
self.monitorNP = None
self.keyboardNP = None
self.loadingError = False
# force the "loading" to take some time after the first run...
options = LoaderOptions()
options.setFlags(options.getFlags() | LoaderOptions.LFNoCache)
def gotMonitorModel(model):
if not model:
self.loadingError = True
self.monitorNP = model
self.loader.loadModel("monitor", loaderOptions=options, callback=gotMonitorModel)
def gotKeyboardModel(model):
if not model:
self.loadingError = True
self.keyboardNP = model
self.loader.loadModel("takeyga_kb", loaderOptions=options, callback=gotKeyboardModel)
def loadModel(self,
modelPath,
loaderOptions=None,
noCache=None,
allowInstance=False,
okMissing=None,
callback=None,
extraArgs=[],
priority=None):
"""
Attempts to load a model or models from one or more relative
pathnames. If the input modelPath is a string (a single model
pathname), the return value will be a NodePath to the model
loaded if the load was successful, or None otherwise. If the
input modelPath is a list of pathnames, the return value will
be a list of NodePaths and/or Nones.
loaderOptions may optionally be passed in to control details
about the way the model is searched and loaded. See the
LoaderOptions class for more.
The default is to look in the ModelPool (RAM) cache first, and
return a copy from that if the model can be found there. If
the bam cache is enabled (via the model-cache-dir config
variable), then that will be consulted next, and if both
caches fail, the file will be loaded from disk. If noCache is
True, then neither cache will be consulted or updated.
If allowInstance is True, a shared instance may be returned
from the ModelPool. This is dangerous, since it is easy to
accidentally modify the shared instance, and invalidate future
load attempts of the same model. Normally, you should leave
allowInstance set to False, which will always return a unique
copy.
If okMissing is True, None is returned if the model is not
found or cannot be read, and no error message is printed.
Otherwise, an IOError is raised if the model is not found or
cannot be read (similar to attempting to open a nonexistent
file). (If modelPath is a list of filenames, then IOError is
raised if *any* of the models could not be loaded.)
If callback is not None, then the model load will be performed
asynchronously. In this case, loadModel() will initiate a
background load and return immediately. The return value will
be an object that may later be passed to
loader.cancelRequest() to cancel the asynchronous request. At
some later point, when the requested model(s) have finished
loading, the callback function will be invoked with the n
loaded models passed as its parameter list. It is possible
that the callback will be invoked immediately, even before
loadModel() returns. If you use callback, you may also
specify a priority, which specifies the relative importance
over this model over all of the other asynchronous load
requests (higher numbers are loaded first).
True asynchronous model loading requires Panda to have been
compiled with threading support enabled (you can test
Thread.isThreadingSupported()). In the absence of threading
support, the asynchronous interface still exists and still
behaves exactly as described, except that loadModel() might
not return immediately.
"""
assert Loader.notify.debug("Loading model: %s" % (modelPath))
if loaderOptions == None:
loaderOptions = LoaderOptions()
else:
loaderOptions = LoaderOptions(loaderOptions)
if okMissing is not None:
if okMissing:
loaderOptions.setFlags(loaderOptions.getFlags()
& ~LoaderOptions.LFReportErrors)
else:
loaderOptions.setFlags(loaderOptions.getFlags()
| LoaderOptions.LFReportErrors)
else:
okMissing = ((loaderOptions.getFlags()
& LoaderOptions.LFReportErrors) == 0)
if noCache is not None:
if noCache:
loaderOptions.setFlags(loaderOptions.getFlags()
| LoaderOptions.LFNoCache)
else:
loaderOptions.setFlags(loaderOptions.getFlags()
& ~LoaderOptions.LFNoCache)
if allowInstance:
loaderOptions.setFlags(loaderOptions.getFlags()
| LoaderOptions.LFAllowInstance)
if isinstance(modelPath, types.StringTypes) or \
isinstance(modelPath, Filename):
# We were given a single model pathname.
modelList = [modelPath]
gotList = False
else:
# Assume we were given a list of model pathnames.
modelList = modelPath
gotList = True
if callback is None:
# We got no callback, so it's a synchronous load.
result = []
for modelPath in modelList:
node = self.loader.loadSync(Filename(modelPath), loaderOptions)
if (node != None):
nodePath = NodePath(node)
else:
nodePath = None
result.append(nodePath)
if not okMissing and None in result:
message = 'Could not load model file(s): %s' % (modelList, )
raise IOError, message
if gotList:
return result
else:
return result[0]
else:
# We got a callback, so we want an asynchronous (threaded)
# load. We'll return immediately, but when all of the
# requested models have been loaded, we'll invoke the
# callback (passing it the models on the parameter list).
cb = Loader.Callback(len(modelList), gotList, callback, extraArgs)
i = 0
for modelPath in modelList:
request = self.loader.makeAsyncRequest(Filename(modelPath),
loaderOptions)
if priority is not None:
request.setPriority(priority)
request.setDoneEvent(self.hook)
request.setPythonObject((cb, i))
i += 1
self.loader.loadAsync(request)
cb.requests[request] = True
return cb
def loadModel(self, modelPath, loaderOptions = None, noCache = None,
allowInstance = False, okMissing = None,
callback = None, extraArgs = [], priority = None):
"""
Attempts to load a model or models from one or more relative
pathnames. If the input modelPath is a string (a single model
pathname), the return value will be a NodePath to the model
loaded if the load was successful, or None otherwise. If the
input modelPath is a list of pathnames, the return value will
be a list of NodePaths and/or Nones.
loaderOptions may optionally be passed in to control details
about the way the model is searched and loaded. See the
LoaderOptions class for more.
The default is to look in the ModelPool (RAM) cache first, and
return a copy from that if the model can be found there. If
the bam cache is enabled (via the model-cache-dir config
variable), then that will be consulted next, and if both
caches fail, the file will be loaded from disk. If noCache is
True, then neither cache will be consulted or updated.
If allowInstance is True, a shared instance may be returned
from the ModelPool. This is dangerous, since it is easy to
accidentally modify the shared instance, and invalidate future
load attempts of the same model. Normally, you should leave
allowInstance set to False, which will always return a unique
copy.
If okMissing is True, None is returned if the model is not
found or cannot be read, and no error message is printed.
Otherwise, an IOError is raised if the model is not found or
cannot be read (similar to attempting to open a nonexistent
file). (If modelPath is a list of filenames, then IOError is
raised if *any* of the models could not be loaded.)
If callback is not None, then the model load will be performed
asynchronously. In this case, loadModel() will initiate a
background load and return immediately. The return value will
be an object that may later be passed to
loader.cancelRequest() to cancel the asynchronous request. At
some later point, when the requested model(s) have finished
loading, the callback function will be invoked with the n
loaded models passed as its parameter list. It is possible
that the callback will be invoked immediately, even before
loadModel() returns. If you use callback, you may also
specify a priority, which specifies the relative importance
over this model over all of the other asynchronous load
requests (higher numbers are loaded first).
True asynchronous model loading requires Panda to have been
compiled with threading support enabled (you can test
Thread.isThreadingSupported()). In the absence of threading
support, the asynchronous interface still exists and still
behaves exactly as described, except that loadModel() might
not return immediately.
"""
assert Loader.notify.debug("Loading model: %s" % (modelPath))
if loaderOptions == None:
loaderOptions = LoaderOptions()
else:
loaderOptions = LoaderOptions(loaderOptions)
if okMissing is not None:
if okMissing:
loaderOptions.setFlags(loaderOptions.getFlags() & ~LoaderOptions.LFReportErrors)
else:
loaderOptions.setFlags(loaderOptions.getFlags() | LoaderOptions.LFReportErrors)
else:
okMissing = ((loaderOptions.getFlags() & LoaderOptions.LFReportErrors) == 0)
if noCache is not None:
if noCache:
loaderOptions.setFlags(loaderOptions.getFlags() | LoaderOptions.LFNoCache)
else:
loaderOptions.setFlags(loaderOptions.getFlags() & ~LoaderOptions.LFNoCache)
if allowInstance:
loaderOptions.setFlags(loaderOptions.getFlags() | LoaderOptions.LFAllowInstance)
if isinstance(modelPath, types.StringTypes) or \
isinstance(modelPath, Filename):
# We were given a single model pathname.
modelList = [modelPath]
gotList = False
else:
# Assume we were given a list of model pathnames.
modelList = modelPath
gotList = True
if callback is None:
# We got no callback, so it's a synchronous load.
result = []
for modelPath in modelList:
node = self.loader.loadSync(Filename(modelPath), loaderOptions)
if (node != None):
nodePath = NodePath(node)
else:
nodePath = None
result.append(nodePath)
if not okMissing and None in result:
message = 'Could not load model file(s): %s' % (modelList,)
raise IOError, message
if gotList:
return result
else:
return result[0]
else:
# We got a callback, so we want an asynchronous (threaded)
# load. We'll return immediately, but when all of the
# requested models have been loaded, we'll invoke the
# callback (passing it the models on the parameter list).
cb = Loader.Callback(len(modelList), gotList, callback, extraArgs)
i=0
for modelPath in modelList:
request = self.loader.makeAsyncRequest(Filename(modelPath), loaderOptions)
if priority is not None:
request.setPriority(priority)
request.setDoneEvent(self.hook)
request.setPythonObject((cb, i))
i+=1
self.loader.loadAsync(request)
cb.requests[request] = True
return cb
