def init_state(self):
"""Queries Soho to initialize the attributes of the class"""
state_parms = {
"rop": soho.SohoParm("object:name", "string", key="rop"),
"soho_outputmode": soho.SohoParm(
"soho_outputmode", "integer", skipdefault=False, key="output_mode"
),
"soho_diskfile": soho.SohoParm(
"soho_diskfile", "string", skipdefault=False, key="disk_file"
),
"hip": soho.SohoParm("$HIP", "string", key="hip"),
"hipname": soho.SohoParm("$HIPNAME", "string", key="hipname"),
"hipfile": soho.SohoParm("$HIPFILE", "string", key="hipfile"),
"ver": soho.SohoParm(
"state:houdiniversion", "string", ["9.0"], False, key="ver"
),
"now": soho.SohoParm("state:time", "real", [0], False, key="now"),
"fps": soho.SohoParm("state:fps", "real", [24], False, key="fps"),
"pbrt_nanovdb_converter": soho.SohoParm(
"pbrt_nanovdb_converter",
"string",
["nanovdb_convert -z -f {vdb} {nanovdb}"],
False,
key="nanovdb_converter",
),
}
rop = soho.getOutputDriver()
parms = soho.evaluate(state_parms, None, rop)
for parm in parms:
setattr(self, parm, parms[parm].Value[0])
if not self.fps:
self.fps = 24.0
self.inv_fps = 1.0 / self.fps
return
def init_state(self):
"""Queries Soho to initialize the attributes of the class"""
state_parms = {
"rop":
soho.SohoParm("object:name", "string", key="rop"),
"hip":
soho.SohoParm("$HIP", "string", key="hip"),
"hipname":
soho.SohoParm("$HIPNAME", "string", key="hipname"),
"hipfile":
soho.SohoParm("$HIPFILE", "string", key="hipfile"),
"ver":
soho.SohoParm("state:houdiniversion",
"string", ["9.0"],
False,
key="ver"),
"now":
soho.SohoParm("state:time", "real", [0], False, key="now"),
"fps":
soho.SohoParm("state:fps", "real", [24], False, key="fps"),
}
rop = soho.getOutputDriver()
parms = soho.evaluate(state_parms, None, rop)
for parm in parms:
setattr(self, parm, parms[parm].Value[0])
if not self.fps:
self.fps = 24.0
self.inv_fps = 1.0 / self.fps
return
def init_state(self):
"""Queries Soho to initialize the attributes of the class"""
state_parms = {
'rop':
soho.SohoParm('object:name', 'string', key='rop'),
'hip':
soho.SohoParm('$HIP', 'string', key='hip'),
'hipname':
soho.SohoParm('$HIPNAME', 'string', key='hipname'),
'hipfile':
soho.SohoParm('$HIPFILE', 'string', key='hipfile'),
'ver':
soho.SohoParm('state:houdiniversion',
'string', ["9.0"],
False,
key='ver'),
'now':
soho.SohoParm('state:time', 'real', [0], False, key='now'),
'fps':
soho.SohoParm('state:fps', 'real', [24], False, key='fps'),
}
rop = soho.getOutputDriver()
parms = soho.evaluate(state_parms, None, rop)
for parm in parms:
setattr(self, parm, parms[parm].Value[0])
if not self.fps:
self.fps = 24.0
self.inv_fps = 1.0 / self.fps
return
def phantom(obj, now, value):
if soho.getOutputDriver().getData('pcrender'):
value[:] = [0]
return True
if obj.evalInt('light_contribprimary', now, value):
if value[0]:
value[0] = 0
return True
return False
def setMattePhantomOverrides(now, matte_objects, phantom_objects):
_Settings.MatteOverrides = {}
_Settings.PhantomOverrides = {}
rop = soho.getOutputDriver()
if matte_objects:
for obj in rop.objectList('objlist:instance', now, matte_objects):
_Settings.MatteOverrides[obj.getName()] = True
if phantom_objects:
for obj in rop.objectList('objlist:instance', now, phantom_objects):
_Settings.PhantomOverrides[obj.getName()] = True
def surface_shader(obj, now, value):
if obj.evalShader('shop_surfacepath', now, value):
if value[0]:
return True
plist = obj.evaluate(lshaderParms, now)
ltype = plist['light_type'].Value[0]
light_texture = plist['light_texture'].Value[0]
singlesided = plist['singlesided'].Value[0]
reverse = plist['reverse'].Value[0]
normalizearea = plist['normalizearea'].Value[0]
edgeenable = plist['edgeenable'].Value[0]
edgewidth = plist['edgewidth'].Value[0]
edgerolloff = plist['edgerolloff'].Value[0]
if not isarealighttype(ltype):
value[:] = ['opdef:/Shop/v_constant']
return True
light_color = get_color(plist)
shader = 'opdef:/Shop/v_arealight'
# Only output the light color for if it's not a point cloud render
if not soho.getOutputDriver().getData('pcrender'):
shader += ' lightcolor %g %g %g' % \
( light_color[0], light_color[1], light_color[2] )
shader += envString(plist)
shader += ' normalizearea %d' % normalizearea
if light_texture != '':
shader += ' texmap "%s"' % light_texture
if singlesided:
shader += ' singlesided 1 reverse %d' % reverse
if edgeenable:
shader += ' doedge 1 edgewidth %g edgerolloff %g' % \
(edgewidth, edgerolloff)
value[:] = [shader]
return True
def outputMPlayFormatOptions(wrangler, cam, now):
plist = cam.wrangle(wrangler, _iplay_specific, now)
rendermode = plist['rendermode'].Value[0]
framemode = plist['framemode'].Value[0]
trange = plist['trange'].Value[0]
curframe = hou.timeToFrame(now)
if trange:
frange = cam.wrangleInt(wrangler, 'f', now, [curframe, curframe])
if len(frange) < 2:
frange = [curframe, curframe]
else:
frange = [curframe, curframe]
# There are 4 combinations of rendermode and framemode
# rendermode/framemode | append | match
# ---------------------+------------+-----------
# new | new-append | new-frame
# current | append | replace
# However, we only perform "new" render mode if we the render
# frame is at the beginning of the frame range
if abs(curframe - frange[0]) < 0.01:
rendermode = 'current'
if rendermode == 'new':
if framemode == 'append':
rendermode = 'new-append'
else:
rendermode = 'new-frame'
else:
if framemode == 'append':
rendermode = 'append'
else:
rendermode = 'replace'
cmd_declare('plane', 'string', 'IPlay.rendermode', [rendermode])
frange = '%d %d' % (int(frange[0]), int(frange[1]))
cmd_declare('plane', 'string', 'IPlay.framerange', [frange])
cmd_declare('plane', 'float', 'IPlay.currentframe', [curframe])
rendersource = soho.getDefaultedString('lv_rendersource',
[soho.getOutputDriver().getName()])
cmd_declare('plane', 'string', 'IPlay.rendersource', rendersource)
def main():
import sys
import hou
import soho
import sohoglue
import SOHOcommon
import sys
import ctypes
if hasattr(sys, 'setdlopenflags'):
sys.setdlopenflags(sys.getdlopenflags() | ctypes.RTLD_GLOBAL)
import _vfh_ipr
from soho import SohoParm
LogLevel = type('Enum', (), {
'Msg': 0,
'Info': 1,
'Progress': 2,
'Warning': 3,
'Error': 4,
'Debug': 5
})
def logMessage(level, fmt, *args):
_vfh_ipr.logMessage(level, fmt % args)
def printDebug(fmt, *args):
logMessage(LogLevel.Debug, fmt, *args)
def dumpObjects(listName):
printDebug("Checking \"%s\"" % listName)
for obj in soho.objectList(listName):
printDebug(" %s", obj.getName())
def exportObjects(listName):
for obj in soho.objectList(listName):
_vfh_ipr.exportOpNode(opNode=obj.getName())
def deleteObjects(listName):
for obj in soho.objectList(listName):
_vfh_ipr.deleteOpNode(opNode=obj.getName())
def getViewParams(camera, sohoCam, t):
camParms = {
'space:world': SohoParm('space:world', 'real', [], False),
'focal': SohoParm('focal', 'real', [0.050], False),
'aperture': SohoParm('aperture', 'real', [0.0414214], False),
'orthowidth': SohoParm('orthowidth', 'real', [2], False),
'near': SohoParm('near', 'real', [0.001], False),
'far': SohoParm('far', 'real', [1000], False),
'res': SohoParm('res', 'int', [640, 480], False),
'projection': SohoParm('projection', 'string', ["perspective"],
False),
'cropl': SohoParm('cropl', 'real', [-1], False),
'cropr': SohoParm('cropr', 'real', [-1], False),
'cropb': SohoParm('cropb', 'real', [-1], False),
'cropt': SohoParm('cropt', 'real', [-1], False),
'camera': SohoParm('camera', 'string', ['/obj/cam1'], False)
}
camParmsEval = sohoCam.evaluate(camParms, t)
if not camParmsEval:
return {}
viewParams = {}
for key in camParmsEval:
viewParams[key] = camParmsEval[key].Value[0]
viewParams['transform'] = camParmsEval['space:world'].Value
viewParams['ortho'] = 1 if camParmsEval['projection'].Value[0] in {
'ortho'
} else 0
viewParams['res'] = camParmsEval['res'].Value
cropX = viewParams['res'][0] * viewParams['cropl']
cropY = viewParams['res'][1] * (1.0 - viewParams['cropt'])
cropW = viewParams['res'][0] * (viewParams['cropr'] -
viewParams['cropl'])
cropH = viewParams['res'][1] * (viewParams['cropt'] -
viewParams['cropb'])
printDebug(" Res: %s" % viewParams['res'])
printDebug(" Crop: %i-%i %i x %i " % (cropX, cropY, cropW, cropH))
return viewParams
def exportView(rop, camera, sohoCam, t):
printDebug("exportView()")
_vfh_ipr.exportView(viewParams=getViewParams(camera, sohoCam, t))
mode = soho.getDefaultedString('state:previewmode', ['default'])[0]
# Evaluate an intrinsic parameter (see HDK_SOHO_API::evaluate())
# The 'state:time' parameter evaluates the time from the ROP.
now = soho.getDefaultedFloat('state:time', [0.0])[0]
# Evaluate the 'camera' parameter as a string.
# If the 'camera' parameter doesn't exist, use ['/obj/cam1'].
# SOHO always returns lists of values.
camera = soho.getDefaultedString('camera', ['/obj/cam1'])[0]
# MPlay / Render View port.
port = soho.getDefaultedInt("vm_image_mplay_socketport", [0])[0]
# ROP node.
ropPath = soho.getOutputDriver().getName()
ropNode = hou.node(ropPath)
printDebug("Initialize SOHO...")
# Initialize SOHO with the camera.
# XXX: This doesn't work for me, but it should according to the documentation...
# soho.initialize(now, camera)
if not sohoglue.initialize(now, camera, None):
soho.error("Unable to initialize rendering module with given camera")
# Now, add objects to our scene
soho.addObjects(now, "*", "*", "*", True)
# Before we can evaluate the scene from SOHO, we need to lock the object lists.
soho.lockObjects(now)
for sohoCam in soho.objectList('objlist:camera'):
break
else:
soho.error("Unable to find viewing camera for render")
sohoOverride = soho.getDefaultedString('soho_overridefile', ['Unknown'])[0]
printDebug("Processing Mode: \"%s\"" % mode)
if mode in {"generate"}:
# generate: Generation phase of IPR rendering
# In generate mode, SOHO will keep the pipe (soho_pipecmd)
# command open between invocations of the soho_program.
# objlist:all
# objlist:camera
# objlist:light
# objlist:instance
# objlist:fog
# objlist:space
# objlist:mat
#
printDebug("IPR Port: %s" % port)
printDebug("Driver: %s" % ropPath)
printDebug("Camera: %s" % camera)
printDebug("Now: %.3f" % now)
_vfh_ipr.init(rop=ropPath,
port=port,
now=now,
viewParams=getViewParams(camera, sohoCam, now))
elif mode in {"update"}:
# update: Send updated changes from previous generation
#
# In this rendering mode, the special object list parameters:
# objlist:dirtyinstance
# objlist:dirtylight
# objlist:dirtyspace
# objlist:dirtyfog
# will contain the list of all objects modified since the last render
# (whether a generate or update).
#
# As well, the parameters:
# objlist:deletedinstance
# objlist:deletedlight
# objlist:deletedspace
# objlist:deletedfog
# will list all objects which have been deleted from the scene.
#
if not _vfh_ipr.isRopValid():
_vfh_ipr.init(rop=ropPath,
port=port,
now=now,
viewParams=getViewParams(camera, sohoCam, now))
else:
if _vfh_ipr.setTime(now):
# Have to handle "time" event manually here.
exportObjects("objlist:dirtyinstance")
exportObjects("objlist:dirtylight")
# Update view.
exportView(ropPath, camera, sohoCam, now)
def header(now, propdefs):
global PipeStream, TmpSharedStorage, TmpLocalStorage
global ExternalSessionId, ExternalSharedSessionId
global SequenceNumber, SequenceLength
global InlineGeoDefault
LSDhooks.call('pre_header', now)
rop = soho.getOutputDriver()
plist = rop.evaluate(headerParms, now)
hver = plist["hver"].Value[0]
cmd_comment("LSD created by Houdini Version: %s" % hver)
cmd_comment("Generation Time: %s" % time.strftime("%b %d, %Y at %H:%M:%S"))
soho_program = plist.get('soho_program', None)
target = LSDsettings.theVersion
hip = plist.get('hip', None)
hipname = plist.get('hipname', None)
ropname = plist.get('ropname', None)
tmpsharedstorage = plist.get('tmpsharedstorage', None)
tmplocalstorage = plist.get('tmplocalstorage', None)
houdinipid = plist['houdinipid'].Value[0]
pipepid = plist['pipepid'].Value[0]
pipestream = plist.get('pipestream', None)
seqnumber = plist.get('seqnumber', None)
seqlength = plist.get('seqlength', None)
if seqnumber:
# The sequence number is the one-based number in the frame sequence
# being rendered.
SequenceNumber = seqnumber.Value[0]
if seqlength:
# Number of frames in the sequence being rendered
SequenceLength = seqlength.Value[0]
if soho_program:
cmd_comment(" Soho Script: %s" %
fullFilePath(soho_program.Value[0]))
if target:
cmd_comment(" Render Target: %s" % target)
defs = LSDsettings.SettingDefs
if len(defs):
cmd_comment(" Render Defs: %s" % defs[0])
for i in range(1, len(defs)):
cmd_comment(" : %s" % defs[i])
if hip and hipname:
cmd_comment(" HIP File: %s/%s, $T=%g, $FPS=%g" %
(hip.Value[0], hipname.Value[0], now, FPS))
if ropname:
cmd_comment(" Output driver: %s" % ropname.Value[0])
cmd_version(hver)
if propdefs:
# Output property defaults before we output any other settings
cmd_defaults(propdefs)
# Renderer frame graph configuation
cmd_config("$LAVA_HOME/conf/default.py")
cmd_comment(None)
cmd_declare('global', 'float', 'global:fps', [FPS])
# TODO: do we really need this !?
#cmd_hscript('fps %g; tcur %g' % (FPS, now))
verbose = plist.get('lv_verbose', None)
if verbose:
cmd_property('renderer', 'verbose', verbose.Value)
cmd_comment(None)
if not pipestream:
cmd_comment('Unable to determine whether writing to a pipe')
PipeStream = True
else:
PipeStream = (pipestream.Value[0] != 0)
if hip:
hipvar = hip.Value[0]
else:
hipvar = ""
hipvar = rop.getDefaultedString('lv_hippath', now, [hipvar])[0]
# Setting the HIP variable in a conditional so users can override
# the HIP variable in the .ifd file.
cmd_setenv('HIP', '$HIP_OVERRIDE')
cmd_if('"$HIP" == ""')
cmd_setenv('HIP', hipvar)
cmd_endif()
def isValidTempDir(path):
# Make sure we can either create the sub-directories of the path, or
# that the path itself is writeable.
if os.path.isdir(path):
return os.access(path, os.W_OK)
head, tail = os.path.split(path)
return isValidTempDir(head) if head else False
if not tmpsharedstorage:
# We still need to create a storage path, so put it in the HIP
# directory. This is where assets will be saved for the LSD.
tmpsharedstorage = hou.expandString("$HIP/ifds/storage")
else:
tmpsharedstorage = tmpsharedstorage.Value[0]
if not isValidTempDir(tmpsharedstorage):
soho.warning(
"Path specified by lv_tmpsharedstorage is read-only. %s" %
("this may cause issues with non-inline geometry"))
tmpsharedstorage = hou.expandString("$HOUDINI_TEMP_DIR/ifds/storage")
if not tmplocalstorage:
# We still need to create a storage path, so put it in the
# HOUDINI_TEMP_DIR directory. This is where assets will be saved for
# the LSD.
tmplocalstorage = hou.expandString("$HOUDINI_TEMP_DIR/ifds/storage")
else:
tmplocalstorage = tmplocalstorage.Value[0]
# Set the external storage variable set into a conditional so if the
# variable is set before mantra is run, that value will be used instead.
cmd_if('"$_TMP_SHARED_STORAGE" == ""')
cmd_setenv('_TMP_SHARED_STORAGE', tmpsharedstorage)
cmd_endif()
cmd_if('"$_TMP_LOCAL_STORAGE" == ""')
cmd_setenv('_TMP_LOCAL_STORAGE', tmplocalstorage)
cmd_endif()
TmpSharedStorage = tmpsharedstorage # Stash for later
TmpLocalStorage = tmplocalstorage # Stash for later
frame = now * FPS + 1
frame_frac = int((frame % 1) * 100)
if PipeStream:
ExternalSessionId = '%d_%s.%d_%03d' % (pipepid, hipname.Value[0],
int(frame), frame_frac)
ExternalSharedSessionId = '%d_%s_shared' % (houdinipid,
hipname.Value[0])
else:
ExternalSessionId = '%s.%d_%03d' % (hipname.Value[0], int(frame),
frame_frac)
ExternalSharedSessionId = '%s_shared' % (hipname.Value[0])
if os.getenv('MANTRA_DEBUG_INLINE_STORAGE'):
# Normally, we want to rely on the lv_inlinestorage parameter (which
# defaults to False). For convenience we can set this variable to
# override the setting. Note that this may impact performance since
# Houdini and mantra are able to multi-thread saving/loading
# geometry. This should be used for debugging only.
InlineGeoDefault = [1]
LSDhooks.call('post_header', now)
def render():
"""Evaluate and package the HDA parameters and submit a job to HQueue."""
# Build a dictionary of base parameters and add the HQueue Render-specific
# ones.
parms = hqrop.getBaseParameters()
use_cloud = (hou.ch("hq_use_cloud1")
if hou.parm("hq_use_cloud1") is not None else 0)
num_cloud_machines = (hou.ch("hq_num_cloud_machines")
if hou.parm("hq_num_cloud_machines") is not None else 0)
machine_type = (hou.ch("hq_cloud_machine_type")
if hou.parm("hq_cloud_machine_type") is not None else "")
use_output_driver = bool(use_cloud) or parms["hip_action"] != "use_ifd"
# validate the machine type
if machine_type not in ['c1.medium', 'c1.xlarge',
'm1.small', 'm1.large', 'm1.xlarge']:
machine_type = 'c1.xlarge'
parms.update({
"assign_ifdgen_to" : hou.parm("hq_assign_ifdgen_to").evalAsString(),
"ifdgen_clients": hou.ch("hq_ifdgen_clients").strip(),
"ifdgen_client_groups" : hou.ch("hq_ifdgen_client_groups").strip(),
"batch_all_frames": hou.ch("hq_batch_all_frames"),
"frames_per_job": hou.ch("hq_framesperjob"),
"render_frame_order": hou.parm("hq_render_frame_order").evalAsString(),
"make_ifds": hou.ch("hq_makeifds"),
"max_hosts_per_job": hou.ch("hq_max_hosts"),
"min_hosts_per_job": hou.ch("hq_min_hosts"),
"is_CPU_number_set": bool(hou.ch("hq_is_CPU_number_set")),
"CPUs_to_use": hou.ch("hq_CPUs_to_use"),
"output_ifd": hou.parm("hq_outputifd").unexpandedString().strip(),
"use_output_driver" : use_output_driver,
"use_cloud": use_cloud,
"num_cloud_machines": num_cloud_machines,
"cloud_machine_type" : machine_type,
"use_render_tracker" : hou.ch("hq_use_render_tracker"),
"delete_ifds": hou.ch("hq_delete_ifds"),
"render_single_tile": bool(hou.ch("hq_render_single_tile")),
})
if use_output_driver:
# Convert output_driver path to an absolute path.
parms["output_driver"] = hou.ch("hq_driver").strip()
rop_node = hou.pwd().node(parms["output_driver"])
if rop_node:
parms["output_driver"] = rop_node.path()
parms["ifd_path"] = hou.parm("hq_outputifd").unexpandedString().strip()
output_driver = hqrop.getOutputDriver(hou.pwd())
# Turn "off" Mantra-specific parameters if there is an output driver
# and it is not a Mantra ROP.
if output_driver and output_driver.type().name() != "ifd":
parms["make_ifds"] = False
parms["min_hosts_per_job"] = 1
parms["max_hosts_per_job"] = 1
else:
parms.update({
"ifd_path" : hou.parm("hq_input_ifd").unexpandedString().strip(),
"start_frame" : hou.ch("hq_frame_range_1"),
"end_frame" : hou.ch("hq_frame_range_2"),
"frame_skip" : hou.ch("hq_frame_range_3"),
# If we are not using an output driver we are using IFDs and so
# we won't be making them
"make_ifds" : False,
})
if parms["frame_skip"] <= 0:
parms["frame_skip"] = 1
# We stop if we cannot establish a connection with the server
if (not parms["use_cloud"]
and not hqrop.doesHQServerExists(parms["hq_server"])):
return None
if "ifd_path" in parms and not parms["use_cloud"]:
expand_frame_variables = False
parms["ifd_path"] = hqrop.substituteWithHQROOT(
parms["hq_server"], parms["ifd_path"], expand_frame_variables)
# Validate parameter values.
if (not hqrop.checkBaseParameters(parms) or
not _checkRenderParameters(parms)):
return
if use_output_driver and parms["hip_action"] == "use_current_hip":
if not hqrop.checkOutputDriver(parms["output_driver"]):
return
if hqrop.checkForRecursiveChain(hou.pwd()):
hqrop.displayError(("Cannot submit HQueue job because"
" %s is in the input chain of %s.")
% (hou.pwd().path(), parms["output_driver"]))
return
# If we're not supposed to run this job on the cloud, submit the job.
# Otherwise, we'll display the file dependency dialog.
if parms["use_cloud"]:
# We don't want to keep the interrupt dialog open, so we exit this soho
# script so the dialog closes and schedule an event to run the code to
# display the dialog.
import soho
rop_node = hou.node(soho.getOutputDriver().getName())
cloud.selectProjectParmsForCloudRender(
rop_node, parms["num_cloud_machines"], parms["cloud_machine_type"])
return
# Automatically save changes to the .hip file,
# or at least warn the user about unsaved changes.
should_continue = hqrop.warnOrAutoSaveHipFile(parms)
if not should_continue:
return
hqrop.submitJob(parms, _byu_troubleshoot_hq)
parm = {'diskfile': SohoParm('soho_diskfile', 'string', ['*'], False)}
parmlist = soho.evaluate(parm)
filename = parmlist['soho_diskfile'].Value[0]
# We can't emit file to stdout, because appleseed.cli currently doesn't accept stdit
# with open(filename, 'w') as file:
# technically preambule is not part of project object:
date = datetime.strftime(datetime.today(), "%b %d, %Y at %H:%M:%S")
stat = '<!-- Generation time: %g seconds -->' % (time.time() - clockstart)
preambule = APSsettings.PREAMBULE.format(
houdini_version=hou.applicationVersionString(),
aps_version=APSsettings.__version__,
date=date,
renderer_version=APSsettings.__appleseed_version__,
driver=soho.getOutputDriver().getName(),
hipfile=hou.hipFile.name(),
TIME=now,
FPS=FPS,
)
if mode == "update":
xform = []
cam.evalFloat("space:world", now, xform)
xform = hou.Matrix4(xform).transposed().asTuple()
xform = " ".join(map(str, xform))
print xform
else:
# first line if stdin is (socket, mode) where 0=default, 1=ipr
# I would love to have custom tag in appleseed.
if mode != 'default':
mode = soho.getDefaultedString('state:previewmode', ['default'])[0]
# Evaluate an intrinsic parameter (see HDK_SOHO_API::evaluate())
# The 'state:time' parameter evaluates the time from the ROP.
now = soho.getDefaultedFloat('state:time', [0.0])[0]
# Evaluate the 'camera' parameter as a string.
# If the 'camera' parameter doesn't exist, use ['/obj/cam1'].
# SOHO always returns lists of values.
camera = soho.getDefaultedString('camera', ['/obj/cam1'])[0]
# MPlay / Render View port.
port = soho.getDefaultedInt("vm_image_mplay_socketport", [0])[0]
# ROP node.
ropPath = soho.getOutputDriver().getName()
ropNode = hou.node(ropPath)
# Use callbacks or SOHO
render_rt_update_mode = hou.evalParm("render_rt_update_mode")
printDebug("Initialize SOHO...")
# Initialize SOHO with the camera.
# XXX: This doesn't work for me, but it should according to the documentation...
# soho.initialize(now, camera)
if not sohoglue.initialize(now, camera, None):
soho.error("Unable to initialize rendering module with given camera")
# Now, add objects to our scene
soho.addObjects(now, "*", "*", "*", True)
def isphoton():
return soho.getOutputDriver().getData("photonrender")
def render():
"""Evaluate and package the HDA parameters and submit a job to HQueue."""
# Build a dictionary of base parameters and add the HQueue Render-specific
# ones.
parms = hqrop.getBaseParameters()
use_cloud = (hou.ch("hq_use_cloud1")
if hou.parm("hq_use_cloud1") is not None else 0)
num_cloud_machines = (hou.ch("hq_num_cloud_machines") if
hou.parm("hq_num_cloud_machines") is not None else 0)
machine_type = (hou.ch("hq_cloud_machine_type")
if hou.parm("hq_cloud_machine_type") is not None else "")
use_output_driver = bool(use_cloud) or parms["hip_action"] != "use_ifd"
# validate the machine type
if machine_type not in [
'c1.medium', 'c1.xlarge', 'm1.small', 'm1.large', 'm1.xlarge'
]:
machine_type = 'c1.xlarge'
parms.update({
"assign_ifdgen_to":
hou.parm("hq_assign_ifdgen_to").evalAsString(),
"ifdgen_clients":
hou.ch("hq_ifdgen_clients").strip(),
"ifdgen_client_groups":
hou.ch("hq_ifdgen_client_groups").strip(),
"batch_all_frames":
hou.ch("hq_batch_all_frames"),
"frames_per_job":
hou.ch("hq_framesperjob"),
"render_frame_order":
hou.parm("hq_render_frame_order").evalAsString(),
"make_ifds":
hou.ch("hq_makeifds"),
"max_hosts_per_job":
hou.ch("hq_max_hosts"),
"min_hosts_per_job":
hou.ch("hq_min_hosts"),
"is_CPU_number_set":
bool(hou.ch("hq_is_CPU_number_set")),
"CPUs_to_use":
hou.ch("hq_CPUs_to_use"),
"output_ifd":
hou.parm("hq_outputifd").unexpandedString().strip(),
"use_output_driver":
use_output_driver,
"use_cloud":
use_cloud,
"num_cloud_machines":
num_cloud_machines,
"cloud_machine_type":
machine_type,
"use_render_tracker":
hou.ch("hq_use_render_tracker"),
"delete_ifds":
hou.ch("hq_delete_ifds"),
"render_single_tile":
bool(hou.ch("hq_render_single_tile")),
})
if use_output_driver:
# Convert output_driver path to an absolute path.
parms["output_driver"] = hou.ch("hq_driver").strip()
rop_node = hou.pwd().node(parms["output_driver"])
if rop_node:
parms["output_driver"] = rop_node.path()
parms["ifd_path"] = hou.parm("hq_outputifd").unexpandedString().strip()
output_driver = hqrop.getOutputDriver(hou.pwd())
# Turn "off" Mantra-specific parameters if there is an output driver
# and it is not a Mantra ROP.
if output_driver and output_driver.type().name() != "ifd":
parms["make_ifds"] = False
parms["min_hosts_per_job"] = 1
parms["max_hosts_per_job"] = 1
else:
parms.update({
"ifd_path":
hou.parm("hq_input_ifd").unexpandedString().strip(),
"start_frame":
hou.ch("hq_frame_range_1"),
"end_frame":
hou.ch("hq_frame_range_2"),
"frame_skip":
hou.ch("hq_frame_range_3"),
# If we are not using an output driver we are using IFDs and so
# we won't be making them
"make_ifds":
False,
})
if parms["frame_skip"] <= 0:
parms["frame_skip"] = 1
# We stop if we cannot establish a connection with the server
if (not parms["use_cloud"]
and not hqrop.doesHQServerExists(parms["hq_server"])):
return None
if "ifd_path" in parms and not parms["use_cloud"]:
expand_frame_variables = False
parms["ifd_path"] = hqrop.substituteWithHQROOT(parms["hq_server"],
parms["ifd_path"],
expand_frame_variables)
# Validate parameter values.
if (not hqrop.checkBaseParameters(parms)
or not _checkRenderParameters(parms)):
return
if use_output_driver and parms["hip_action"] == "use_current_hip":
if not hqrop.checkOutputDriver(parms["output_driver"]):
return
if hqrop.checkForRecursiveChain(hou.pwd()):
hqrop.displayError(("Cannot submit HQueue job because"
" %s is in the input chain of %s.") %
(hou.pwd().path(), parms["output_driver"]))
return
# If we're not supposed to run this job on the cloud, submit the job.
# Otherwise, we'll display the file dependency dialog.
if parms["use_cloud"]:
# We don't want to keep the interrupt dialog open, so we exit this soho
# script so the dialog closes and schedule an event to run the code to
# display the dialog.
import soho
rop_node = hou.node(soho.getOutputDriver().getName())
cloud.selectProjectParmsForCloudRender(rop_node,
parms["num_cloud_machines"],
parms["cloud_machine_type"])
return
# Automatically save changes to the .hip file,
# or at least warn the user about unsaved changes.
should_continue = hqrop.warnOrAutoSaveHipFile(parms)
if not should_continue:
return
hqrop.submitJob(parms, _byu_troubleshoot_hq)
cmd_loadotl(otls)
#
# Output OTL preferences set in Houdini
otprefs = soho.getDefaultedString('state:otprefer', [])
if soho.getDefaultedInt('lv_otlfullpath', [0])[0]:
for i in range(1, len(otprefs), 2):
otprefs[i] = hou.expandString(otprefs[i])
if len(otprefs):
cmd_comment("OTL preferences from the .hip file")
cmd_otprefer(otprefs)
if inheritedproperties:
# Output object level properties which are defined on the output driver
cmd_comment('Object properties defined on output driver')
LSDsettings.outputObject(soho.getOutputDriver(), now)
isphoton = parmlist['engine'].Value[0] == 'photon' or \
parmlist['engine'].Value[0] == 'viewphoton'
#
# If there's only one camera, output it here
donecamera = False
do_main = parmlist['main'].Value[0]
if do_main and mode == "generate" and len(camera_list) == 1:
sub_camera = camera_list[0]
if sub_camera:
if not LSDhooks.call('pre_mainimage', parmlist, objparms, now,
sub_camera):
cmd_comment('Main image from %s' % sub_camera.getName())
LSDframe.renderCamera(sub_camera, now, forphoton=isphoton)
geo_parm='phantom_objects', light_parm='', fog_parm='')
soho.removeObjects(now, excludeobject, excludelights, excludefog,
geo_parm='excludeobject', light_parm='excludelights', fog_parm='excludefog')
# Lock off the objects we've selected
soho.lockObjects(now)
IFDsettings.clearLists()
IFDsettings.load(now)
IFDgeo.reset()
if inheritedproperties:
# Output object level properties which are defined on the output driver
ray_comment('Object properties defined on output driver')
IFDsettings.outputObject(soho.getOutputDriver(), now)
if decl_shops:
IFDgeo.declareAllMaterials(now, decl_shops > 1)
#
# Output objects
#
IFDframe.outputObjects(now,
soho.objectList('objlist:instance'),
soho.objectList('objlist:light'),
soho.objectList('objlist:space'),
soho.objectList('objlist:fog'),
-1, -1)