def extract(self):
context_data = self.context.data
self.start = context_data.get("startFrame")
self.end = context_data.get("endFrame")
self.step = self.data.get("bakeStep", 1.0)
camera = cmds.ls(self.member, type="camera", long=True)[0]
self.camera_uuid = utils.get_id(camera)
donot_bake = [camera + "." + attr for attr in DO_NOT_BAKE_THESE]
with contextlib.nested(
capsule.no_refresh(),
capsule.attr_unkeyable(donot_bake),
capsule.evaluation("off"),
capsule.undo_chunk(),
):
# bake to worldspace
baked_camera = lib.bake_camera(camera, self.start, self.end,
self.step)
cmds.select(
baked_camera,
hierarchy=True, # With shape
replace=True,
noExpand=True)
super(ExtractCamera, self).extract()
def extract(self):
DO_NOT_BAKE_THESE = [
"motionBlurOverride",
"aiUseGlobalShutter",
"aiShutterStart",
"aiShutterEnd",
"aiShutterType",
"aiEnableDOF",
"aiFov",
"aiHorizontalFov",
"aiVerticalFov",
]
DO_BAKE_THESE = [
"focalLength",
]
DO_BAKE_THESE += lib.TRANSFORM_ATTRS
context_data = self.context.data
self.start = context_data.get("startFrame")
self.end = context_data.get("endFrame")
self.step = self.data.get("bakeStep", 1.0)
camera = cmds.ls(self.member, type="camera", long=True)[0]
self.camera_uuid = utils.get_id(camera)
cam_transform = cmds.listRelatives(camera,
parent=True,
fullPath=True)[0]
donot_bake = [cam_transform + "." + attr for attr in DO_NOT_BAKE_THESE]
do_bake = [cam_transform + "." + attr for attr in DO_BAKE_THESE]
with contextlib.nested(
capsule.no_refresh(),
capsule.attribute_states(donot_bake, lock=False, keyable=False),
capsule.attribute_states(do_bake, lock=False, keyable=True),
capsule.evaluation("off"),
):
with capsule.delete_after() as delete_bin:
# bake to worldspace
frame_range = (self.start, self.end)
baked_camera = lib.bake_to_world_space(cam_transform,
frame_range,
step=self.step)[0]
delete_bin.append(baked_camera)
cmds.select(baked_camera,
hierarchy=True, # With shape
replace=True,
noExpand=True)
super(ExtractCamera, self).extract()
def extract(self):
if self.data.get("staticCache"):
self.start_frame = cmds.currentTime(query=True)
self.end_frame = cmds.currentTime(query=True)
else:
context_data = self.context.data
self.start_frame = context_data.get("startFrame")
self.end_frame = context_data.get("endFrame")
with contextlib.nested(
capsule.no_undo(),
capsule.no_refresh(),
capsule.evaluation("off"),
capsule.maintained_selection(),
):
cmds.select(self.data["outCache"], replace=True)
super(ExtractPointCache, self).extract()
def export_fbx(self, outpath, cachepath, cachename, nodes, keep_namespace):
from reveries.maya import io, capsule
from maya import cmds
with contextlib.nested(
capsule.no_undo(),
capsule.no_refresh(),
capsule.evaluation("off"),
capsule.maintained_selection(),
):
cmds.select(nodes, replace=True)
with capsule.StripNamespace([] if keep_namespace else nodes):
with io.export_fbx_set_pointcache("FBXCacheSET"):
io.export_fbx(cachepath)
io.wrap_fbx(outpath, [(cachename, "ROOT")])
def export_gpu(self, outpath, cachepath, cachename, start, end, assemblies,
attr_values):
from reveries.maya import io, capsule
from maya import cmds
with contextlib.nested(
capsule.no_undo(),
capsule.no_refresh(),
capsule.evaluation("off"),
capsule.maintained_selection(),
):
cmds.select(assemblies, replace=True, noExpand=True)
with contextlib.nested(
capsule.attribute_values(attr_values),
# Mute animated visibility channels
capsule.attribute_mute(list(attr_values.keys())),
):
io.export_gpu(cachepath, start, end)
io.wrap_gpu(outpath, [(cachename, "ROOT")])
def extract_Ass(self):
# Ensure mtoa loaded
cmds.loadPlugin("mtoa", quiet=True)
package_path = self.create_package()
cache_file = self.file_name("ass")
cache_path = os.path.join(package_path, cache_file)
with contextlib.nested(
capsule.no_undo(),
capsule.no_refresh(),
capsule.evaluation("off"),
capsule.maintained_selection(),
capsule.ref_edit_unlock(),
remove_file_env_path(self.data),
):
cmds.select(self.member, replace=True)
asses = cmds.arnoldExportAss(filename=cache_path,
selected=True,
startFrame=self.data["startFrame"],
endFrame=self.data["endFrame"],
frameStep=self.data["byFrameStep"],
shadowLinks=1,
lightLinks=1,
expandProcedurals=True,
mask=24)
use_sequence = self.data["startFrame"] != self.data["endFrame"]
entry_file = os.path.basename(asses[0])
self.add_data({
"entryFileName": entry_file,
"useSequence": use_sequence
})
if use_sequence:
self.add_data({
"startFrame": self.data["startFrame"],
"endFrame": self.data["endFrame"]
})
def export_ass(self,
nodes,
outpath,
file_node_attrs,
has_yeti,
start,
end,
step,
expand_procedurals=True):
from maya import cmds, mel
from reveries.maya import arnold, capsule
# Ensure option created
arnold.utils.create_options()
render_settings = {
# Disable Auto TX update and enable to use existing TX
"defaultArnoldRenderOptions.autotx": False,
"defaultArnoldRenderOptions.use_existing_tiled_textures": True,
# Ensure frame padding == 4
"defaultRenderGlobals.extensionPadding": 4,
}
# Yeti
if has_yeti:
# In Deadline, this is a script job instead of rendering job, so
# the `pgYetiPreRender` Pre-Render MEL will not be triggered.
# We need to call it by ourselve, or Yeti will complain about
# cache temp dir not exist.
mel.eval("pgYetiPreRender;")
with contextlib.nested(
capsule.no_undo(),
capsule.no_refresh(),
capsule.evaluation("off"),
capsule.maintained_selection(),
capsule.ref_edit_unlock(),
# (NOTE) Ensure attribute unlock
capsule.attribute_states(file_node_attrs.keys(), lock=False),
# Change to published path
capsule.attribute_values(file_node_attrs),
# Fixed render settings
capsule.attribute_values(render_settings),
):
cmds.select(nodes, replace=True)
asses = cmds.arnoldExportAss(
filename=outpath,
selected=True,
startFrame=start,
endFrame=end,
frameStep=step,
expandProcedurals=expand_procedurals,
boundingBox=True,
# Mask:
# Shapes,
# Shaders,
# Override Nodes,
# Operators,
#
# mask=4152, # No Color Manager
mask=6200) # With Color Manager
# Change to environment var embedded path
root = avalon.api.registered_root().replace("\\", "/")
project = avalon.api.Session["AVALON_PROJECT"]
for ass in asses:
lines = list()
has_change = False
with open(ass, "r") as assf:
for line in assf.readlines():
if line.startswith(" filename "):
line = line.replace(root, "[AVALON_PROJECTS]", 1)
line = line.replace(project, "[AVALON_PROJECT]", 1)
has_change = True
lines.append(line)
# Remove color manager
# (NOTE): If Color Manager included,
# may raise error if rendering
# in Houdini or other DCC.
try:
s = lines.index("color_manager_syncolor\n")
except ValueError:
# No color manager found
pass
else:
e = lines.index("}\n", s) + 1
lines = lines[:s] + lines[e:]
has_change = True
# Re-write
if has_change:
with open(ass, "w") as assf:
assf.write("".join(lines))
def export_ass(data, start, end, step):
arnold_tx_settings = {
"defaultArnoldRenderOptions.autotx": False,
"defaultArnoldRenderOptions.use_existing_tiled_textures": True,
}
# Yeti
if data["hasYeti"]:
# In Deadline, this is a script job instead of rendering job, so
# the `pgYetiPreRender` Pre-Render MEL will not be triggered.
# We need to call it by ourselve, or Yeti will complain about
# cache temp dir not exist.
mel.eval("pgYetiPreRender;")
with contextlib.nested(
capsule.no_undo(),
capsule.no_refresh(),
capsule.evaluation("off"),
capsule.maintained_selection(),
capsule.ref_edit_unlock(),
# (NOTE) Ensure attribute unlock
capsule.attribute_states(data["fileNodeAttrs"].keys(),
lock=False),
# Change to published path
capsule.attribute_values(data["fileNodeAttrs"]),
# Disable Auto TX update and enable to use existing TX
capsule.attribute_values(arnold_tx_settings),
):
cmds.select(data["member"], replace=True)
asses = cmds.arnoldExportAss(
filename=data["cachePath"],
selected=True,
startFrame=start,
endFrame=end,
frameStep=step,
expandProcedurals=True,
boundingBox=True,
# Mask:
# Shapes,
# Shaders,
# Override Nodes,
# Operators,
#
# (NOTE): If Color Manager included,
# may raise error if rendering
# in Houdini or other DCC.
# mask=6200, # With Color Manager
#
mask=4152) # No Color Manager
# Change to environment var embedded path
root = avalon.api.registered_root().replace("\\", "/")
project = avalon.api.Session["AVALON_PROJECT"]
for ass in asses:
lines = list()
has_change = False
with open(ass, "r") as assf:
for line in assf.readlines():
if line.startswith(" filename "):
line = line.replace(root, "[AVALON_PROJECTS]", 1)
line = line.replace(project, "[AVALON_PROJECT]", 1)
has_change = True
lines.append(line)
if has_change:
with open(ass, "w") as assf:
assf.write("".join(lines))
def export_alembic(self, root, outpath, start, end, euler_filter):
from reveries.maya import io, lib, capsule
from maya import cmds
with contextlib.nested(
capsule.no_undo(),
capsule.no_refresh(),
capsule.evaluation("off"),
capsule.maintained_selection(),
):
# Selection may change if there are duplicate named nodes and
# require instancing them to resolve
with capsule.delete_after() as delete_bin:
# (NOTE) We need to check any duplicate named nodes, or
# error will raised during Alembic export.
result = lib.ls_duplicated_name(root)
duplicated = [n for m in result.values() for n in m]
if duplicated:
self.log.info("Duplicate named nodes found, resolving...")
# Duplicate it so we could have a unique named new node
unique_named = list()
for node in duplicated:
new_nodes = cmds.duplicate(node,
inputConnections=True,
renameChildren=True)
new_nodes = cmds.ls(new_nodes, long=True)
unique_named.append(new_nodes[0])
# New nodes will be deleted after the export
delete_bin.extend(new_nodes)
# Replace duplicate named nodes with unique named
root = list(set(root) - set(duplicated)) + unique_named
for node in set(root):
# (NOTE) If a descendent is instanced, it will appear only
# once on the list returned.
root += cmds.listRelatives(node,
allDescendents=True,
fullPath=True,
noIntermediate=True) or []
root = list(set(root))
cmds.select(root, replace=True, noExpand=True)
def _export_alembic():
io.export_alembic(
outpath,
start,
end,
selection=True,
renderableOnly=True,
writeVisibility=True,
writeCreases=True,
worldSpace=True,
eulerFilter=euler_filter,
attr=[
lib.AVALON_ID_ATTR_LONG,
],
attrPrefix=[
"ai", # Write out Arnold attributes
"avnlook_", # Write out lookDev controls
],
)
auto_retry = 1
while auto_retry:
try:
_export_alembic()
except RuntimeError as err:
if auto_retry:
# (NOTE) Auto re-try export
# For unknown reason, some artist may encounter
# runtime error when exporting but re-run the
# publish without any change will resolve.
auto_retry -= 1
self.log.warning(err)
self.log.warning("Retrying...")
else:
raise err
else:
break
def extract_all(self,
cam_transform,
ma_outpath,
abc_outpath,
fbx_outpath,
start,
end,
step,
euler_filter,
do_bake,
donot_bake,
duplicate_input_graph=False):
from maya import cmds
from reveries.maya import io, lib, capsule
with contextlib.nested(
capsule.no_refresh(),
capsule.no_undo(),
capsule.attribute_states(donot_bake, lock=False,
keyable=False),
capsule.attribute_states(do_bake, lock=False, keyable=True),
capsule.evaluation("off"),
):
with capsule.delete_after() as delete_bin:
# bake to worldspace
frame_range = (start, end)
baked_camera = lib.bake_to_world_space(
cam_transform,
frame_range,
step=step,
# Remove baked from layer so to bake out all keys like
# animLayers being merged.
remove_baked_attr_from_layer=True,
duplicate_input_graph=duplicate_input_graph)[0]
delete_bin.append(baked_camera)
cmds.select(
baked_camera,
hierarchy=True, # With shape
replace=True,
noExpand=True)
with avalon.maya.maintained_selection():
io.export_alembic(abc_outpath,
start,
end,
eulerFilter=euler_filter)
with capsule.undo_chunk_when_no_undo():
if euler_filter:
cmds.filterCurve(cmds.ls(sl=True))
with avalon.maya.maintained_selection():
cmds.file(
ma_outpath,
force=True,
typ="mayaAscii",
exportSelected=True,
preserveReferences=False,
constructionHistory=False,
channels=True, # allow animation
constraints=False,
shader=False,
expressions=False)
with avalon.maya.maintained_selection():
io.export_fbx_set_camera()
io.export_fbx(fbx_outpath)
