1
0
mirror of https://github.com/DarklightGames/io_scene_psk_psa.git synced 2024-11-27 16:10:48 +01:00

Merge branch 'feature-original-sequence-names'

This commit is contained in:
Colin Basnett 2022-04-24 22:08:47 -07:00
commit 19a8f88686
14 changed files with 1147 additions and 445 deletions

View File

@ -1,7 +1,7 @@
bl_info = {
"name": "PSK/PSA Importer/Exporter",
"author": "Colin Basnett",
"version": (2, 1, 0),
"version": (3, 0, 0),
"blender": (2, 80, 0),
# "location": "File > Export > PSK Export (.psk)",
"description": "PSK/PSA Import/Export (.psk/.psa)",
@ -13,6 +13,7 @@ bl_info = {
if 'bpy' in locals():
import importlib
importlib.reload(psx_data)
importlib.reload(psx_helpers)
importlib.reload(psx_types)
@ -42,15 +43,14 @@ else:
from .psa import reader as psa_reader
from .psa import importer as psa_importer
import bpy
from bpy.props import PointerProperty
classes = psx_types.__classes__ + \
psk_importer.__classes__ + \
psk_exporter.__classes__ + \
psa_exporter.__classes__ + \
psa_importer.__classes__
classes = (psx_types.classes +
psk_importer.classes +
psk_exporter.classes +
psa_exporter.classes +
psa_importer.classes)
def psk_export_menu_func(self, context):

View File

@ -55,6 +55,10 @@ class Vector3(Structure):
def __repr__(self):
return repr(tuple(self))
@classmethod
def zero(cls):
return Vector3(0, 0, 0)
class Quaternion(Structure):
_fields_ = [
@ -73,6 +77,10 @@ class Quaternion(Structure):
def __repr__(self):
return repr(tuple(self))
@classmethod
def identity(cls):
return Quaternion(0, 0, 0, 1)
class Section(Structure):
_fields_ = [

View File

@ -1,5 +1,27 @@
import datetime
from collections import Counter
from typing import List
from bpy.types import NlaStrip
class Timer:
def __enter__(self):
self.start = datetime.datetime.now()
self.interval = None
return self
def __exit__(self, *args):
self.end = datetime.datetime.now()
self.interval = self.end - self.start
@property
def duration(self):
if self.interval is not None:
return self.interval
else:
return datetime.datetime.now() - self.start
def rgb_to_srgb(c):
if c > 0.0031308:
@ -8,33 +30,67 @@ def rgb_to_srgb(c):
return 12.92 * c
def get_nla_strips_ending_at_frame(object, frame) -> List[NlaStrip]:
if object is None or object.animation_data is None:
return []
strips = []
for nla_track in object.animation_data.nla_tracks:
for strip in nla_track.strips:
if strip.frame_end == frame:
strips.append(strip)
return strips
def get_nla_strips_in_timeframe(object, frame_min, frame_max) -> List[NlaStrip]:
if object is None or object.animation_data is None:
return []
strips = []
for nla_track in object.animation_data.nla_tracks:
if nla_track.mute:
continue
for strip in nla_track.strips:
if (strip.frame_start < frame_min and strip.frame_end > frame_max) or \
(frame_min <= strip.frame_start < frame_max) or \
(frame_min < strip.frame_end <= frame_max):
strips.append(strip)
return strips
def populate_bone_group_list(armature_object, bone_group_list):
bone_group_list.clear()
item = bone_group_list.add()
item.name = '(unassigned)'
item.index = -1
item.is_selected = True
if armature_object and armature_object.pose:
bone_group_counts = Counter(map(lambda x: x.bone_group, armature_object.pose.bones))
item = bone_group_list.add()
item.name = 'Unassigned'
item.index = -1
item.count = 0 if None not in bone_group_counts else bone_group_counts[None]
item.is_selected = True
for bone_group_index, bone_group in enumerate(armature_object.pose.bone_groups):
item = bone_group_list.add()
item.name = bone_group.name
item.index = bone_group_index
item.count = 0 if bone_group not in bone_group_counts else bone_group_counts[bone_group]
item.is_selected = True
def add_bone_groups_to_layout(layout):
pass
def get_psa_sequence_name(action, should_use_original_sequence_name):
if should_use_original_sequence_name and 'psa_sequence_name' in action:
return action['psa_sequence_name']
else:
return action.name
def get_export_bone_indices_for_bone_groups(armature_object, bone_group_indices: List[int]) -> List[int]:
def get_export_bone_names(armature_object, bone_filter_mode, bone_group_indices: List[int]) -> List[str]:
"""
Returns a sorted list of bone indices that should be exported for the given bone groups.
Returns a sorted list of bone indices that should be exported for the given bone filter mode and bone groups.
Note that the ancestors of bones within the bone groups will also be present in the returned list.
:param armature_object: Blender object with type 'ARMATURE'
:param bone_filter_mode: One of ['ALL', 'BONE_GROUPS']
:param bone_group_indices: List of bone group indices to be exported.
:return: A sorted list of bone indices that should be exported.
"""
@ -45,24 +101,58 @@ def get_export_bone_indices_for_bone_groups(armature_object, bone_group_indices:
pose_bones = armature_object.pose.bones
bone_names = [x.name for x in bones]
# Get a list of the bone indices that are explicitly part of the bone groups we are including.
# Get a list of the bone indices that we are explicitly including.
bone_index_stack = []
is_exporting_none_bone_groups = -1 in bone_group_indices
for bone_index, pose_bone in enumerate(pose_bones):
if (pose_bone.bone_group is None and is_exporting_none_bone_groups) or \
if bone_filter_mode == 'ALL' or \
(pose_bone.bone_group is None and is_exporting_none_bone_groups) or \
(pose_bone.bone_group is not None and pose_bone.bone_group_index in bone_group_indices):
bone_index_stack.append(bone_index)
bone_index_stack.append((bone_index, None))
# For each bone that is explicitly being added, recursively walk up the hierarchy and ensure that all of
# those ancestor bone indices are also in the list.
bone_indices = set()
bone_indices = dict()
while len(bone_index_stack) > 0:
bone_index = bone_index_stack.pop()
bone_index, instigator_bone_index = bone_index_stack.pop()
bone = bones[bone_index]
if bone.parent is not None:
parent_bone_index = bone_names.index(bone.parent.name)
if parent_bone_index not in bone_indices:
bone_index_stack.append(parent_bone_index)
bone_indices.add(bone_index)
bone_index_stack.append((parent_bone_index, bone_index))
bone_indices[bone_index] = instigator_bone_index
return list(sorted(list(bone_indices)))
# Sort the bone index list in-place.
bone_indices = [(x[0], x[1]) for x in bone_indices.items()]
bone_indices.sort(key=lambda x: x[0])
# Split out the bone indices and the instigator bone names into separate lists.
# We use the bone names for the return values because the bone name is a more universal way of referencing them.
# For example, users of this function may modify bone lists, which would invalidate the indices and require a
# index mapping scheme to resolve it. Using strings is more comfy and results in less code downstream.
instigator_bone_names = [bones[x[1]].name if x[1] is not None else None for x in bone_indices]
bone_names = [bones[x[0]].name for x in bone_indices]
# Ensure that the hierarchy we are sending back has a single root bone.
bone_indices = [x[0] for x in bone_indices]
root_bones = [bones[bone_index] for bone_index in bone_indices if bones[bone_index].parent is None]
if len(root_bones) > 1:
# There is more than one root bone.
# Print out why each root bone was included by linking it to one of the explicitly included bones.
root_bone_names = [bone.name for bone in root_bones]
for root_bone_name in root_bone_names:
bone_name = root_bone_name
while True:
# Traverse the instigator chain until the end to find the true instigator bone.
# TODO: in future, it would be preferential to have a readout of *all* instigator bones.
instigator_bone_name = instigator_bone_names[bone_names.index(bone_name)]
if instigator_bone_name is None:
print(f'Root bone "{root_bone_name}" was included because {bone_name} was marked for export')
break
bone_name = instigator_bone_name
raise RuntimeError('Exported bone hierarchy must have a single root bone.\n'
f'The bone hierarchy marked for export has {len(root_bones)} root bones: {root_bone_names}.\n'
f'Additional debugging information has been written to the console.')
return bone_names

View File

@ -1,29 +1,75 @@
from typing import Dict, Iterable
from bpy.types import Action
from .data import *
from ..helpers import *
class PsaBuilderOptions(object):
def __init__(self):
self.fps_source = 'SCENE'
self.fps_custom = 30.0
self.sequence_source = 'ACTIONS'
self.actions = []
self.marker_names = []
self.bone_filter_mode = 'ALL'
self.bone_group_indices = []
self.should_use_original_sequence_names = False
self.should_trim_timeline_marker_sequences = True
self.sequence_name_prefix = ''
self.sequence_name_suffix = ''
class PsaBuilderPerformance:
def __init__(self):
self.frame_set_duration = datetime.timedelta()
self.key_build_duration = datetime.timedelta()
self.key_add_duration = datetime.timedelta()
class PsaBuilder(object):
def __init__(self):
pass
def build(self, context, options: PsaBuilderOptions) -> Psa:
object = context.view_layer.objects.active
def get_sequence_fps(self, context, options: PsaBuilderOptions, actions: Iterable[Action]) -> float:
if options.fps_source == 'SCENE':
return context.scene.render.fps
if options.fps_source == 'CUSTOM':
return options.fps_custom
elif options.fps_source == 'ACTION_METADATA':
# Get the minimum value of action metadata FPS values.
fps_list = []
for action in filter(lambda x: 'psa_sequence_fps' in x, actions):
fps = action['psa_sequence_fps']
if type(fps) == int or type(fps) == float:
fps_list.append(fps)
if len(fps_list) > 0:
return min(fps_list)
else:
# No valid action metadata to use, fallback to scene FPS
return context.scene.render.fps
else:
raise RuntimeError(f'Invalid FPS source "{options.fps_source}"')
if object.type != 'ARMATURE':
def build(self, context, options: PsaBuilderOptions) -> Psa:
performance = PsaBuilderPerformance()
active_object = context.view_layer.objects.active
if active_object.type != 'ARMATURE':
raise RuntimeError('Selected object must be an Armature')
armature = object
armature = active_object
if armature.animation_data is None:
raise RuntimeError('No animation data for armature')
# Ensure that we actually have items that we are going to be exporting.
if options.sequence_source == 'ACTIONS' and len(options.actions) == 0:
raise RuntimeError('No actions were selected for export')
elif options.sequence_source == 'TIMELINE_MARKERS' and len(options.marker_names) == 0:
raise RuntimeError('No timeline markers were selected for export')
psa = Psa()
bones = list(armature.data.bones)
@ -33,54 +79,45 @@ class PsaBuilder(object):
# armature bones.
bone_names = [x.name for x in bones]
pose_bones = [(bone_names.index(bone.name), bone) for bone in armature.pose.bones]
del bone_names
pose_bones.sort(key=lambda x: x[0])
pose_bones = [x[1] for x in pose_bones]
bone_indices = list(range(len(bones)))
# If bone groups are specified, get only the bones that are in that specified bone groups and their ancestors.
if options.bone_filter_mode == 'BONE_GROUPS':
bone_indices = get_export_bone_indices_for_bone_groups(armature, options.bone_group_indices)
# Get a list of all the bone indices and instigator bones for the bone filter settings.
export_bone_names = get_export_bone_names(armature, options.bone_filter_mode, options.bone_group_indices)
bone_indices = [bone_names.index(x) for x in export_bone_names]
# Make the bone lists contain only the bones that are going to be exported.
bones = [bones[bone_index] for bone_index in bone_indices]
pose_bones = [pose_bones[bone_index] for bone_index in bone_indices]
# No bones are going to be exported.
if len(bones) == 0:
# No bones are going to be exported.
raise RuntimeError('No bones available for export')
# Ensure that the exported hierarchy has a single root bone.
root_bones = [x for x in bones if x.parent is None]
if len(root_bones) > 1:
root_bone_names = [x.name for x in root_bones]
raise RuntimeError('Exported bone hierarchy must have a single root bone.'
f'The bone hierarchy marked for export has {len(root_bones)} root bones: {root_bone_names}')
for pose_bone in bones:
# Build list of PSA bones.
for bone in bones:
psa_bone = Psa.Bone()
psa_bone.name = bytes(pose_bone.name, encoding='utf-8')
psa_bone.name = bytes(bone.name, encoding='utf-8')
try:
parent_index = bones.index(pose_bone.parent)
parent_index = bones.index(bone.parent)
psa_bone.parent_index = parent_index
psa.bones[parent_index].children_count += 1
except ValueError:
psa_bone.parent_index = -1
if pose_bone.parent is not None:
rotation = pose_bone.matrix.to_quaternion()
if bone.parent is not None:
rotation = bone.matrix.to_quaternion()
rotation.x = -rotation.x
rotation.y = -rotation.y
rotation.z = -rotation.z
quat_parent = pose_bone.parent.matrix.to_quaternion().inverted()
parent_head = quat_parent @ pose_bone.parent.head
parent_tail = quat_parent @ pose_bone.parent.tail
location = (parent_tail - parent_head) + pose_bone.head
quat_parent = bone.parent.matrix.to_quaternion().inverted()
parent_head = quat_parent @ bone.parent.head
parent_tail = quat_parent @ bone.parent.tail
location = (parent_tail - parent_head) + bone.head
else:
location = armature.matrix_local @ pose_bone.head
rot_matrix = pose_bone.matrix @ armature.matrix_local.to_3x3()
location = armature.matrix_local @ bone.head
rot_matrix = bone.matrix @ armature.matrix_local.to_3x3()
rotation = rot_matrix.to_quaternion()
psa_bone.location.x = location.x
@ -94,60 +131,153 @@ class PsaBuilder(object):
psa.bones.append(psa_bone)
# Populate the export sequence list.
class NlaState:
def __init__(self):
self.frame_min = 0
self.frame_max = 0
self.action = None
class ExportSequence:
def __init__(self):
self.name = ''
self.nla_state = NlaState()
self.fps = 30.0
export_sequences = []
if options.sequence_source == 'ACTIONS':
for action in options.actions:
if len(action.fcurves) == 0:
continue
export_sequence = ExportSequence()
export_sequence.nla_state.action = action
export_sequence.name = get_psa_sequence_name(action, options.should_use_original_sequence_names)
frame_min, frame_max = [int(x) for x in action.frame_range]
export_sequence.nla_state.frame_min = frame_min
export_sequence.nla_state.frame_max = frame_max
export_sequence.fps = self.get_sequence_fps(context, options, [action])
export_sequences.append(export_sequence)
pass
elif options.sequence_source == 'TIMELINE_MARKERS':
sequence_frame_ranges = self.get_timeline_marker_sequence_frame_ranges(armature, context, options)
for name, (frame_min, frame_max) in sequence_frame_ranges.items():
export_sequence = ExportSequence()
export_sequence.name = name
export_sequence.nla_state.action = None
export_sequence.nla_state.frame_min = frame_min
export_sequence.nla_state.frame_max = frame_max
nla_strips_actions = set(
map(lambda x: x.action, get_nla_strips_in_timeframe(active_object, frame_min, frame_max)))
export_sequence.fps = self.get_sequence_fps(context, options, nla_strips_actions)
export_sequences.append(export_sequence)
else:
raise ValueError(f'Unhandled sequence source: {options.sequence_source}')
# Add prefixes and suffices to the names of the export sequences and strip whitespace.
for export_sequence in export_sequences:
export_sequence.name = f'{options.sequence_name_prefix}{export_sequence.name}{options.sequence_name_suffix}'.strip()
# Now build the PSA sequences.
# We actually alter the timeline frame and simply record the resultant pose bone matrices.
frame_start_index = 0
for action in options.actions:
if len(action.fcurves) == 0:
continue
armature.animation_data.action = action
for export_sequence in export_sequences:
armature.animation_data.action = export_sequence.nla_state.action
context.view_layer.update()
frame_min, frame_max = [int(x) for x in action.frame_range]
psa_sequence = Psa.Sequence()
sequence = Psa.Sequence()
sequence.name = bytes(action.name, encoding='utf-8')
sequence.frame_count = frame_max - frame_min + 1
sequence.frame_start_index = frame_start_index
sequence.fps = context.scene.render.fps
frame_min = export_sequence.nla_state.frame_min
frame_max = export_sequence.nla_state.frame_max
frame_count = frame_max - frame_min + 1
psa_sequence.name = bytes(export_sequence.name, encoding='windows-1252')
psa_sequence.frame_count = frame_count
psa_sequence.frame_start_index = frame_start_index
psa_sequence.fps = export_sequence.fps
frame_count = frame_max - frame_min + 1
for frame in range(frame_count):
context.scene.frame_set(frame_min + frame)
with Timer() as t:
context.scene.frame_set(frame_min + frame)
performance.frame_set_duration += t.duration
for pose_bone in pose_bones:
key = Psa.Key()
pose_bone_matrix = pose_bone.matrix
with Timer() as t:
key = Psa.Key()
pose_bone_matrix = pose_bone.matrix
if pose_bone.parent is not None:
pose_bone_parent_matrix = pose_bone.parent.matrix
pose_bone_matrix = pose_bone_parent_matrix.inverted() @ pose_bone_matrix
if pose_bone.parent is not None:
pose_bone_parent_matrix = pose_bone.parent.matrix
pose_bone_matrix = pose_bone_parent_matrix.inverted() @ pose_bone_matrix
location = pose_bone_matrix.to_translation()
rotation = pose_bone_matrix.to_quaternion().normalized()
location = pose_bone_matrix.to_translation()
rotation = pose_bone_matrix.to_quaternion().normalized()
if pose_bone.parent is not None:
rotation.x = -rotation.x
rotation.y = -rotation.y
rotation.z = -rotation.z
if pose_bone.parent is not None:
rotation.x = -rotation.x
rotation.y = -rotation.y
rotation.z = -rotation.z
key.location.x = location.x
key.location.y = location.y
key.location.z = location.z
key.rotation.x = rotation.x
key.rotation.y = rotation.y
key.rotation.z = rotation.z
key.rotation.w = rotation.w
key.time = 1.0 / sequence.fps
key.location.x = location.x
key.location.y = location.y
key.location.z = location.z
key.rotation.x = rotation.x
key.rotation.y = rotation.y
key.rotation.z = rotation.z
key.rotation.w = rotation.w
key.time = 1.0 / psa_sequence.fps
performance.key_build_duration += t.duration
psa.keys.append(key)
with Timer() as t:
psa.keys.append(key)
performance.key_add_duration += t.duration
frame_start_index += 1
psa_sequence.bone_count = len(pose_bones)
psa_sequence.track_time = frame_count
sequence.bone_count = len(pose_bones)
sequence.track_time = frame_count
frame_start_index += frame_count
psa.sequences[action.name] = sequence
psa.sequences[export_sequence.name] = psa_sequence
return psa
def get_timeline_marker_sequence_frame_ranges(self, object, context, options: PsaBuilderOptions) -> Dict:
# Timeline markers need to be sorted so that we can determine the sequence start and end positions.
sequence_frame_ranges = dict()
sorted_timeline_markers = list(sorted(context.scene.timeline_markers, key=lambda x: x.frame))
sorted_timeline_marker_names = list(map(lambda x: x.name, sorted_timeline_markers))
for marker_name in options.marker_names:
marker = context.scene.timeline_markers[marker_name]
frame_min = marker.frame
# Determine the final frame of the sequence based on the next marker.
# If no subsequent marker exists, use the maximum frame_end from all NLA strips.
marker_index = sorted_timeline_marker_names.index(marker_name)
next_marker_index = marker_index + 1
frame_max = 0
if next_marker_index < len(sorted_timeline_markers):
# There is a next marker. Use that next marker's frame position as the last frame of this sequence.
frame_max = sorted_timeline_markers[next_marker_index].frame
if options.should_trim_timeline_marker_sequences:
nla_strips = get_nla_strips_in_timeframe(object, marker.frame, frame_max)
frame_max = min(frame_max, max(map(lambda nla_strip: nla_strip.frame_end, nla_strips)))
frame_min = max(frame_min, min(map(lambda nla_strip: nla_strip.frame_start, nla_strips)))
else:
# There is no next marker.
# Find the final frame of all the NLA strips and use that as the last frame of this sequence.
for nla_track in object.animation_data.nla_tracks:
if nla_track.mute:
continue
for strip in nla_track.strips:
frame_max = max(frame_max, strip.frame_end)
if frame_min == frame_max:
continue
sequence_frame_ranges[marker_name] = int(frame_min), int(frame_max)
return sequence_frame_ranges

View File

@ -1,6 +1,7 @@
import typing
from typing import List
from collections import OrderedDict
from typing import List
from ..data import *
"""

View File

@ -1,13 +1,19 @@
import bpy
from bpy.types import Operator, PropertyGroup, Action, UIList, BoneGroup
from bpy.props import CollectionProperty, IntProperty, PointerProperty, StringProperty, BoolProperty, EnumProperty
from bpy_extras.io_utils import ExportHelper
import fnmatch
import re
import sys
from collections import Counter
from typing import Type
import bpy
from bpy.props import BoolProperty, CollectionProperty, EnumProperty, FloatProperty, IntProperty, PointerProperty, \
StringProperty
from bpy.types import Action, Operator, PropertyGroup, UIList
from bpy_extras.io_utils import ExportHelper
from .builder import PsaBuilder, PsaBuilderOptions
from .data import *
from ..types import BoneGroupListItem
from ..helpers import *
import re
from ..types import BoneGroupListItem
class PsaExporter(object):
@ -37,31 +43,94 @@ class PsaExporter(object):
class PsaExportActionListItem(PropertyGroup):
action: PointerProperty(type=Action)
action_name: StringProperty()
name: StringProperty()
is_selected: BoolProperty(default=False)
@property
def name(self):
return self.action.name
class PsaExportTimelineMarkerListItem(PropertyGroup):
marker_index: IntProperty()
name: StringProperty()
is_selected: BoolProperty(default=True)
def update_action_names(context):
pg = context.scene.psa_export
for item in pg.action_list:
action = item.action
item.action_name = get_psa_sequence_name(action, pg.should_use_original_sequence_names)
def should_use_original_sequence_names_updated(_, context):
update_action_names(context)
class PsaExportPropertyGroup(PropertyGroup):
sequence_source: EnumProperty(
name='Source',
options=set(),
description='',
items=(
('ACTIONS', 'Actions', 'Sequences will be exported using actions', 'ACTION', 0),
('TIMELINE_MARKERS', 'Timeline Markers', 'Sequences will be exported using timeline markers', 'MARKER_HLT',
1),
)
)
fps_source: EnumProperty(
name='FPS Source',
options=set(),
description='',
items=(
('SCENE', 'Scene', '', 'SCENE_DATA', 0),
('ACTION_METADATA', 'Action Metadata',
'The frame rate will be determined by action\'s "psa_sequence_fps" custom property, if it exists. If the Sequence Source is Timeline Markers, the lowest value of all contributing actions will be used. If no metadata is available, the scene\'s frame rate will be used.',
'PROPERTIES', 1),
('CUSTOM', 'Custom', '', 2)
)
)
fps_custom: FloatProperty(default=30.0, min=sys.float_info.epsilon, soft_min=1.0, options=set(), step=100,
soft_max=60.0)
action_list: CollectionProperty(type=PsaExportActionListItem)
action_list_index: IntProperty(default=0)
marker_list: CollectionProperty(type=PsaExportTimelineMarkerListItem)
marker_list_index: IntProperty(default=0)
bone_filter_mode: EnumProperty(
name='Bone Filter',
options=set(),
description='',
items=(
('ALL', 'All', 'All bones will be exported.'),
('BONE_GROUPS', 'Bone Groups', 'Only bones belonging to the selected bone groups and their ancestors will be exported.')
('BONE_GROUPS', 'Bone Groups', 'Only bones belonging to the selected bone groups and their ancestors will '
'be exported.'),
)
)
bone_group_list: CollectionProperty(type=BoneGroupListItem)
bone_group_list_index: IntProperty(default=0)
bone_group_list_index: IntProperty(default=0, name='', description='')
should_use_original_sequence_names: BoolProperty(
default=False,
name='Original Names',
options=set(),
update=should_use_original_sequence_names_updated,
description='If the action was imported from the PSA Import panel, the original name of the sequence will be '
'used instead of the Blender action name',
)
should_trim_timeline_marker_sequences: BoolProperty(
default=True,
name='Trim Sequences',
options=set(),
description='Frames without NLA track information at the boundaries of timeline markers will be excluded from '
'the exported sequences '
)
sequence_name_prefix: StringProperty(name='Prefix', options=set())
sequence_name_suffix: StringProperty(name='Suffix', options=set())
sequence_filter_name: StringProperty(default='', options={'TEXTEDIT_UPDATE'})
sequence_use_filter_invert: BoolProperty(default=False, options=set())
sequence_filter_asset: BoolProperty(default=False, name='Show assets',
description='Show actions that belong to an asset library', options=set())
sequence_use_filter_sort_reverse: BoolProperty(default=True, options=set())
def is_bone_filter_mode_item_available(context, identifier):
if identifier == "BONE_GROUPS":
if identifier == 'BONE_GROUPS':
obj = context.active_object
if not obj.pose or not obj.pose.bone_groups:
return False
@ -69,8 +138,9 @@ def is_bone_filter_mode_item_available(context, identifier):
class PsaExportOperator(Operator, ExportHelper):
bl_idname = 'export.psa'
bl_idname = 'psa_export.operator'
bl_label = 'Export'
bl_options = {'INTERNAL', 'UNDO'}
__doc__ = 'Export actions to PSA'
filename_ext = '.psa'
filter_glob: StringProperty(default='*.psa', options={'HIDDEN'})
@ -85,35 +155,73 @@ class PsaExportOperator(Operator, ExportHelper):
def draw(self, context):
layout = self.layout
property_group = context.scene.psa_export
pg = context.scene.psa_export
# FPS
layout.prop(pg, 'fps_source', text='FPS')
if pg.fps_source == 'CUSTOM':
layout.prop(pg, 'fps_custom', text='Custom')
# SOURCE
layout.prop(pg, 'sequence_source', text='Source')
# SELECT ALL/NONE
row = layout.row(align=True)
row.label(text='Select')
row.operator(PsaExportActionsSelectAll.bl_idname, text='All', icon='CHECKBOX_HLT')
row.operator(PsaExportActionsDeselectAll.bl_idname, text='None', icon='CHECKBOX_DEHLT')
# ACTIONS
box = layout.box()
box.label(text='Actions', icon='ACTION')
row = box.row()
row.template_list('PSA_UL_ExportActionList', 'asd', property_group, 'action_list', property_group, 'action_list_index', rows=10)
row = box.row(align=True)
row.label(text='Select')
row.operator('psa_export.actions_select_all', text='All')
row.operator('psa_export.actions_deselect_all', text='None')
if pg.sequence_source == 'ACTIONS':
rows = max(3, min(len(pg.action_list), 10))
layout.template_list('PSA_UL_ExportActionList', '', pg, 'action_list', pg, 'action_list_index', rows=rows)
col = layout.column()
col.use_property_split = True
col.use_property_decorate = False
col.prop(pg, 'should_use_original_sequence_names')
col.prop(pg, 'sequence_name_prefix')
col.prop(pg, 'sequence_name_suffix')
elif pg.sequence_source == 'TIMELINE_MARKERS':
rows = max(3, min(len(pg.marker_list), 10))
layout.template_list('PSA_UL_ExportTimelineMarkerList', '', pg, 'marker_list', pg, 'marker_list_index',
rows=rows)
col = layout.column()
col.use_property_split = True
col.use_property_decorate = False
col.prop(pg, 'should_trim_timeline_marker_sequences')
col.prop(pg, 'sequence_name_prefix')
col.prop(pg, 'sequence_name_suffix')
# Determine if there is going to be a naming conflict and display an error, if so.
selected_items = [x for x in pg.action_list if x.is_selected]
action_names = [x.name for x in selected_items]
action_name_counts = Counter(action_names)
for action_name, count in action_name_counts.items():
if count > 1:
layout.label(text=f'Duplicate action: {action_name}', icon='ERROR')
break
layout.separator()
# BONES
box = layout.box()
box.label(text='Bones', icon='BONE_DATA')
bone_filter_mode_items = property_group.bl_rna.properties['bone_filter_mode'].enum_items_static
row = box.row(align=True)
row = layout.row(align=True)
row.prop(pg, 'bone_filter_mode', text='Bones')
for item in bone_filter_mode_items:
identifier = item.identifier
item_layout = row.row(align=True)
item_layout.prop_enum(property_group, 'bone_filter_mode', item.identifier)
item_layout.enabled = is_bone_filter_mode_item_available(context, identifier)
if property_group.bone_filter_mode == 'BONE_GROUPS':
row = box.row()
rows = max(3, min(len(property_group.bone_group_list), 10))
row.template_list('PSX_UL_BoneGroupList', '', property_group, 'bone_group_list', property_group, 'bone_group_list_index', rows=rows)
if pg.bone_filter_mode == 'BONE_GROUPS':
row = layout.row(align=True)
row.label(text='Select')
row.operator(PsaExportBoneGroupsSelectAll.bl_idname, text='All', icon='CHECKBOX_HLT')
row.operator(PsaExportBoneGroupsDeselectAll.bl_idname, text='None', icon='CHECKBOX_DEHLT')
rows = max(3, min(len(pg.bone_group_list), 10))
layout.template_list('PSX_UL_BoneGroupList', '', pg, 'bone_group_list', pg, 'bone_group_list_index',
rows=rows)
def should_action_be_selected_by_default(self, action):
return action is not None and action.asset_data is None
def is_action_for_armature(self, action):
if len(action.fcurves) == 0:
@ -129,7 +237,7 @@ class PsaExportOperator(Operator, ExportHelper):
return False
def invoke(self, context, event):
property_group = context.scene.psa_export
pg = context.scene.psa_export
if context.view_layer.objects.active is None:
self.report({'ERROR_INVALID_CONTEXT'}, 'An armature must be selected')
@ -142,113 +250,250 @@ class PsaExportOperator(Operator, ExportHelper):
self.armature = context.view_layer.objects.active
# Populate actions list.
property_group.action_list.clear()
pg.action_list.clear()
for action in bpy.data.actions:
item = property_group.action_list.add()
if not self.is_action_for_armature(action):
continue
item = pg.action_list.add()
item.action = action
item.action_name = action.name
if self.is_action_for_armature(action):
item.is_selected = True
item.name = action.name
item.is_selected = self.should_action_be_selected_by_default(action)
if len(property_group.action_list) == 0:
update_action_names(context)
# Populate timeline markers list.
pg.marker_list.clear()
for marker in context.scene.timeline_markers:
item = pg.marker_list.add()
item.name = marker.name
if len(pg.action_list) == 0 and len(pg.marker_list) == 0:
# If there are no actions at all, we have nothing to export, so just cancel the operation.
self.report({'ERROR_INVALID_CONTEXT'}, 'There are no actions to export.')
self.report({'ERROR_INVALID_CONTEXT'}, 'There are no actions or timeline markers to export.')
return {'CANCELLED'}
# Populate bone groups list.
populate_bone_group_list(self.armature, property_group.bone_group_list)
populate_bone_group_list(self.armature, pg.bone_group_list)
context.window_manager.fileselect_add(self)
return {'RUNNING_MODAL'}
def execute(self, context):
property_group = context.scene.psa_export
actions = [x.action for x in property_group.action_list if x.is_selected]
pg = context.scene.psa_export
if len(actions) == 0:
self.report({'ERROR_INVALID_CONTEXT'}, 'No actions were selected for export.')
return {'CANCELLED'}
actions = [x.action for x in pg.action_list if x.is_selected]
marker_names = [x.name for x in pg.marker_list if x.is_selected]
options = PsaBuilderOptions()
options.fps_source = pg.fps_source
options.fps_custom = pg.fps_custom
options.sequence_source = pg.sequence_source
options.actions = actions
options.bone_filter_mode = property_group.bone_filter_mode
options.bone_group_indices = [x.index for x in property_group.bone_group_list if x.is_selected]
options.marker_names = marker_names
options.bone_filter_mode = pg.bone_filter_mode
options.bone_group_indices = [x.index for x in pg.bone_group_list if x.is_selected]
options.should_use_original_sequence_names = pg.should_use_original_sequence_names
options.should_trim_timeline_marker_sequences = pg.should_trim_timeline_marker_sequences
options.sequence_name_prefix = pg.sequence_name_prefix
options.sequence_name_suffix = pg.sequence_name_suffix
builder = PsaBuilder()
try:
psa = builder.build(context, options)
except RuntimeError as e:
self.report({'ERROR_INVALID_CONTEXT'}, str(e))
return {'CANCELLED'}
exporter = PsaExporter(psa)
exporter.export(self.filepath)
return {'FINISHED'}
class PSA_UL_ExportActionList(UIList):
class PSA_UL_ExportTimelineMarkerList(UIList):
def draw_item(self, context, layout, data, item, icon, active_data, active_propname, index):
layout.alignment = 'LEFT'
layout.prop(item, 'is_selected', icon_only=True)
layout.label(text=item.action_name)
layout.prop(item, 'is_selected', icon_only=True, text=item.name)
def filter_items(self, context, data, property):
actions = getattr(data, property)
flt_flags = []
flt_neworder = []
if self.filter_name:
flt_flags = bpy.types.UI_UL_list.filter_items_by_name(
self.filter_name,
self.bitflag_filter_item,
actions,
'action_name',
reverse=self.use_filter_invert
)
pg = context.scene.psa_export
sequences = getattr(data, property)
flt_flags = filter_sequences(pg, sequences)
flt_neworder = bpy.types.UI_UL_list.sort_items_by_name(sequences, 'name')
return flt_flags, flt_neworder
class PsaExportSelectAll(bpy.types.Operator):
bl_idname = 'psa_export.actions_select_all'
def filter_sequences(pg: PsaExportPropertyGroup, sequences: bpy.types.bpy_prop_collection) -> List[int]:
bitflag_filter_item = 1 << 30
flt_flags = [bitflag_filter_item] * len(sequences)
if pg.sequence_filter_name is not None:
# Filter name is non-empty.
for i, sequence in enumerate(sequences):
if not fnmatch.fnmatch(sequence.name, f'*{pg.sequence_filter_name}*'):
flt_flags[i] &= ~bitflag_filter_item
if not pg.sequence_filter_asset:
for i, sequence in enumerate(sequences):
if hasattr(sequence, 'action') and sequence.action.asset_data is not None:
flt_flags[i] &= ~bitflag_filter_item
if pg.sequence_use_filter_invert:
# Invert filter flags for all items.
for i, sequence in enumerate(sequences):
flt_flags[i] ^= bitflag_filter_item
return flt_flags
def get_visible_sequences(pg: PsaExportPropertyGroup, sequences: bpy.types.bpy_prop_collection) -> List[
PsaExportActionListItem]:
visible_sequences = []
for i, flag in enumerate(filter_sequences(pg, sequences)):
if bool(flag & (1 << 30)):
visible_sequences.append(sequences[i])
return visible_sequences
class PSA_UL_ExportActionList(UIList):
def __init__(self):
super(PSA_UL_ExportActionList, self).__init__()
# Show the filtering options by default.
self.use_filter_show = True
def draw_item(self, context, layout, data, item, icon, active_data, active_propname, index):
layout.prop(item, 'is_selected', icon_only=True, text=item.name)
if item.action.asset_data is not None:
layout.label(text='', icon='ASSET_MANAGER')
def draw_filter(self, context, layout):
pg = context.scene.psa_export
row = layout.row()
subrow = row.row(align=True)
subrow.prop(pg, 'sequence_filter_name', text="")
subrow.prop(pg, 'sequence_use_filter_invert', text="", icon='ARROW_LEFTRIGHT')
subrow = row.row(align=True)
subrow.prop(pg, 'sequence_filter_asset', icon_only=True, icon='ASSET_MANAGER')
# subrow.prop(pg, 'sequence_use_filter_sort_reverse', text='', icon='SORT_ASC')
def filter_items(self, context, data, property):
pg = context.scene.psa_export
actions = getattr(data, property)
flt_flags = filter_sequences(pg, actions)
flt_neworder = bpy.types.UI_UL_list.sort_items_by_name(actions, 'name')
return flt_flags, flt_neworder
class PsaExportActionsSelectAll(Operator):
bl_idname = 'psa_export.sequences_select_all'
bl_label = 'Select All'
bl_description = 'Select all actions'
bl_description = 'Select all visible sequences'
bl_options = {'INTERNAL'}
@classmethod
def get_item_list(cls, context):
pg = context.scene.psa_export
if pg.sequence_source == 'ACTIONS':
return pg.action_list
elif pg.sequence_source == 'TIMELINE_MARKERS':
return pg.marker_list
return None
@classmethod
def poll(cls, context):
property_group = context.scene.psa_export
action_list = property_group.action_list
has_unselected_actions = any(map(lambda action: not action.is_selected, action_list))
return len(action_list) > 0 and has_unselected_actions
pg = context.scene.psa_export
item_list = cls.get_item_list(context)
visible_sequences = get_visible_sequences(pg, item_list)
has_unselected_sequences = any(map(lambda item: not item.is_selected, visible_sequences))
return has_unselected_sequences
def execute(self, context):
property_group = context.scene.psa_export
for action in property_group.action_list:
action.is_selected = True
pg = context.scene.psa_export
sequences = self.get_item_list(context)
for sequence in get_visible_sequences(pg, sequences):
sequence.is_selected = True
return {'FINISHED'}
class PsaExportDeselectAll(bpy.types.Operator):
bl_idname = 'psa_export.actions_deselect_all'
class PsaExportActionsDeselectAll(Operator):
bl_idname = 'psa_export.sequences_deselect_all'
bl_label = 'Deselect All'
bl_description = 'Deselect all actions'
bl_description = 'Deselect all visible sequences'
bl_options = {'INTERNAL'}
@classmethod
def get_item_list(cls, context):
pg = context.scene.psa_export
if pg.sequence_source == 'ACTIONS':
return pg.action_list
elif pg.sequence_source == 'TIMELINE_MARKERS':
return pg.marker_list
return None
@classmethod
def poll(cls, context):
property_group = context.scene.psa_export
action_list = property_group.action_list
has_selected_actions = any(map(lambda action: action.is_selected, action_list))
return len(action_list) > 0 and has_selected_actions
item_list = cls.get_item_list(context)
has_selected_items = any(map(lambda item: item.is_selected, item_list))
return len(item_list) > 0 and has_selected_items
def execute(self, context):
property_group = context.scene.psa_export
for action in property_group.action_list:
pg = context.scene.psa_export
item_list = self.get_item_list(context)
for sequence in get_visible_sequences(pg, item_list):
sequence.is_selected = False
return {'FINISHED'}
class PsaExportBoneGroupsSelectAll(Operator):
bl_idname = 'psa_export.bone_groups_select_all'
bl_label = 'Select All'
bl_description = 'Select all bone groups'
bl_options = {'INTERNAL'}
@classmethod
def poll(cls, context):
pg = context.scene.psa_export
item_list = pg.bone_group_list
has_unselected_items = any(map(lambda action: not action.is_selected, item_list))
return len(item_list) > 0 and has_unselected_items
def execute(self, context):
pg = context.scene.psa_export
for item in pg.bone_group_list:
item.is_selected = True
return {'FINISHED'}
class PsaExportBoneGroupsDeselectAll(Operator):
bl_idname = 'psa_export.bone_groups_deselect_all'
bl_label = 'Deselect All'
bl_description = 'Deselect all bone groups'
bl_options = {'INTERNAL'}
@classmethod
def poll(cls, context):
pg = context.scene.psa_export
item_list = pg.bone_group_list
has_selected_actions = any(map(lambda action: action.is_selected, item_list))
return len(item_list) > 0 and has_selected_actions
def execute(self, context):
pg = context.scene.psa_export
for action in pg.bone_group_list:
action.is_selected = False
return {'FINISHED'}
__classes__ = [
classes = (
PsaExportActionListItem,
PsaExportTimelineMarkerListItem,
PsaExportPropertyGroup,
PsaExportOperator,
PSA_UL_ExportActionList,
PsaExportSelectAll,
PsaExportDeselectAll,
]
PSA_UL_ExportTimelineMarkerList,
PsaExportActionsSelectAll,
PsaExportActionsDeselectAll,
PsaExportBoneGroupsSelectAll,
PsaExportBoneGroupsDeselectAll,
)

View File

@ -1,12 +1,16 @@
import bpy
import fnmatch
import os
import re
from typing import List, Optional
import bpy
import numpy as np
from mathutils import Vector, Quaternion, Matrix
from .data import Psa
from typing import List, AnyStr, Optional
from bpy.types import Operator, Action, UIList, PropertyGroup, Panel, Armature, FileSelectParams
from bpy_extras.io_utils import ExportHelper, ImportHelper
from bpy.props import StringProperty, BoolProperty, CollectionProperty, PointerProperty, IntProperty
from bpy.types import Operator, UIList, PropertyGroup, Panel
from bpy_extras.io_utils import ImportHelper
from mathutils import Vector, Quaternion
from .data import Psa
from .reader import PsaReader
@ -16,6 +20,10 @@ class PsaImportOptions(object):
self.should_use_fake_user = False
self.should_stash = False
self.sequence_names = []
self.should_overwrite = False
self.should_write_keyframes = True
self.should_write_metadata = True
self.action_name_prefix = ''
class PsaImporter(object):
@ -69,7 +77,8 @@ class PsaImporter(object):
# Report if there are missing bones in the target armature.
missing_bone_names = set(psa_bone_names).difference(set(armature_bone_names))
if len(missing_bone_names) > 0:
print(f'The armature object \'{armature_object.name}\' is missing the following bones that exist in the PSA:')
print(
f'The armature object \'{armature_object.name}\' is missing the following bones that exist in the PSA:')
print(list(sorted(missing_bone_names)))
del armature_bone_names
@ -115,75 +124,92 @@ class PsaImporter(object):
actions = []
for sequence in sequences:
# Add the action.
action = bpy.data.actions.new(name=sequence.name.decode())
action.use_fake_user = options.should_use_fake_user
# Create f-curves for the rotation and location of each bone.
for psa_bone_index, armature_bone_index in psa_to_armature_bone_indices.items():
import_bone = import_bones[psa_bone_index]
pose_bone = import_bone.pose_bone
rotation_data_path = pose_bone.path_from_id('rotation_quaternion')
location_data_path = pose_bone.path_from_id('location')
import_bone.fcurves = [
action.fcurves.new(rotation_data_path, index=0), # Qw
action.fcurves.new(rotation_data_path, index=1), # Qx
action.fcurves.new(rotation_data_path, index=2), # Qy
action.fcurves.new(rotation_data_path, index=3), # Qz
action.fcurves.new(location_data_path, index=0), # Lx
action.fcurves.new(location_data_path, index=1), # Ly
action.fcurves.new(location_data_path, index=2), # Lz
]
sequence_name = sequence.name.decode('windows-1252')
action_name = options.action_name_prefix + sequence_name
# Read the sequence data matrix from the PSA.
sequence_data_matrix = psa_reader.read_sequence_data_matrix(sequence_name)
keyframe_write_matrix = np.ones(sequence_data_matrix.shape, dtype=np.int8)
if options.should_overwrite and action_name in bpy.data.actions:
action = bpy.data.actions[action_name]
else:
action = bpy.data.actions.new(name=action_name)
# Convert the sequence's data from world-space to local-space.
for bone_index, import_bone in enumerate(import_bones):
if import_bone is None:
continue
for frame_index in range(sequence.frame_count):
# This bone has writeable keyframes for this frame.
key_data = sequence_data_matrix[frame_index, bone_index]
# Calculate the local-space key data for the bone.
sequence_data_matrix[frame_index, bone_index] = calculate_fcurve_data(import_bone, key_data)
if options.should_write_keyframes:
# Remove existing f-curves (replace with action.fcurves.clear() in Blender 3.2)
while len(action.fcurves) > 0:
action.fcurves.remove(action.fcurves[-1])
# Clean the keyframe data. This is accomplished by writing zeroes to the write matrix when there is an
# insufficiently large change in the data from frame-to-frame.
if options.should_clean_keys:
threshold = 0.001
# Create f-curves for the rotation and location of each bone.
for psa_bone_index, armature_bone_index in psa_to_armature_bone_indices.items():
import_bone = import_bones[psa_bone_index]
pose_bone = import_bone.pose_bone
rotation_data_path = pose_bone.path_from_id('rotation_quaternion')
location_data_path = pose_bone.path_from_id('location')
import_bone.fcurves = [
action.fcurves.new(rotation_data_path, index=0, action_group=pose_bone.name), # Qw
action.fcurves.new(rotation_data_path, index=1, action_group=pose_bone.name), # Qx
action.fcurves.new(rotation_data_path, index=2, action_group=pose_bone.name), # Qy
action.fcurves.new(rotation_data_path, index=3, action_group=pose_bone.name), # Qz
action.fcurves.new(location_data_path, index=0, action_group=pose_bone.name), # Lx
action.fcurves.new(location_data_path, index=1, action_group=pose_bone.name), # Ly
action.fcurves.new(location_data_path, index=2, action_group=pose_bone.name), # Lz
]
# Read the sequence data matrix from the PSA.
sequence_data_matrix = psa_reader.read_sequence_data_matrix(sequence_name)
keyframe_write_matrix = np.ones(sequence_data_matrix.shape, dtype=np.int8)
# Convert the sequence's data from world-space to local-space.
for bone_index, import_bone in enumerate(import_bones):
if import_bone is None:
continue
for fcurve_index in range(len(import_bone.fcurves)):
# Get all the keyframe data for the bone's f-curve data from the sequence data matrix.
fcurve_frame_data = sequence_data_matrix[:, bone_index, fcurve_index]
last_written_datum = 0
for frame_index, datum in enumerate(fcurve_frame_data):
# If the f-curve data is not different enough to the last written frame, un-mark this data for writing.
if frame_index > 0 and abs(datum - last_written_datum) < threshold:
keyframe_write_matrix[frame_index, bone_index, fcurve_index] = 0
else:
last_written_datum = datum
# Write the keyframes out!
for frame_index in range(sequence.frame_count):
for bone_index, import_bone in enumerate(import_bones):
if import_bone is None:
continue
bone_has_writeable_keyframes = any(keyframe_write_matrix[frame_index, bone_index])
if bone_has_writeable_keyframes:
for frame_index in range(sequence.frame_count):
# This bone has writeable keyframes for this frame.
key_data = sequence_data_matrix[frame_index, bone_index]
for fcurve, should_write, datum in zip(import_bone.fcurves, keyframe_write_matrix[frame_index, bone_index], key_data):
if should_write:
fcurve.keyframe_points.insert(frame_index, datum, options={'FAST'})
# Calculate the local-space key data for the bone.
sequence_data_matrix[frame_index, bone_index] = calculate_fcurve_data(import_bone, key_data)
# Clean the keyframe data. This is accomplished by writing zeroes to the write matrix when there is an
# insufficiently large change in the data from the last written frame.
if options.should_clean_keys:
threshold = 0.001
for bone_index, import_bone in enumerate(import_bones):
if import_bone is None:
continue
for fcurve_index in range(len(import_bone.fcurves)):
# Get all the keyframe data for the bone's f-curve data from the sequence data matrix.
fcurve_frame_data = sequence_data_matrix[:, bone_index, fcurve_index]
last_written_datum = 0
for frame_index, datum in enumerate(fcurve_frame_data):
# If the f-curve data is not different enough to the last written frame, un-mark this data for writing.
if frame_index > 0 and abs(datum - last_written_datum) < threshold:
keyframe_write_matrix[frame_index, bone_index, fcurve_index] = 0
else:
last_written_datum = datum
# Write the keyframes out!
for frame_index in range(sequence.frame_count):
for bone_index, import_bone in enumerate(import_bones):
if import_bone is None:
continue
bone_has_writeable_keyframes = any(keyframe_write_matrix[frame_index, bone_index])
if bone_has_writeable_keyframes:
# This bone has writeable keyframes for this frame.
key_data = sequence_data_matrix[frame_index, bone_index]
for fcurve, should_write, datum in zip(import_bone.fcurves,
keyframe_write_matrix[frame_index, bone_index],
key_data):
if should_write:
fcurve.keyframe_points.insert(frame_index, datum, options={'FAST'})
# Write
if options.should_write_metadata:
action['psa_sequence_name'] = sequence_name
action['psa_sequence_fps'] = sequence.fps
action.use_fake_user = options.should_use_fake_user
actions.append(action)
# If the user specifies, store the new animations as strips on a non-contributing NLA stack.
# If the user specifies, store the new animations as strips on a non-contributing NLA track.
if options.should_stash:
if armature_object.animation_data is None:
armature_object.animation_data_create()
@ -194,57 +220,119 @@ class PsaImporter(object):
nla_track.strips.new(name=action.name, start=0, action=action)
class PsaImportPsaBoneItem(PropertyGroup):
bone_name: StringProperty()
@property
def name(self):
return self.bone_name
class PsaImportActionListItem(PropertyGroup):
action_name: StringProperty()
frame_count: IntProperty()
is_selected: BoolProperty(default=False)
action_name: StringProperty(options=set())
is_selected: BoolProperty(default=False, options=set())
@property
def name(self):
return self.action_name
def load_psa_file(context):
pg = context.scene.psa_import
pg.sequence_list.clear()
pg.psa.bones.clear()
pg.psa_error = ''
try:
# Read the file and populate the action list.
p = os.path.abspath(pg.psa_file_path)
psa_reader = PsaReader(p)
for sequence in psa_reader.sequences.values():
item = pg.sequence_list.add()
item.action_name = sequence.name.decode('windows-1252')
for psa_bone in psa_reader.bones:
item = pg.psa.bones.add()
item.bone_name = psa_bone.name.decode('windows-1252')
except Exception as e:
pg.psa_error = str(e)
def on_psa_file_path_updated(property, context):
property_group = context.scene.psa_import
property_group.action_list.clear()
property_group.psa_bones.clear()
try:
# Read the file and populate the action list.
p = os.path.abspath(property_group.psa_file_path)
psa_reader = PsaReader(p)
for sequence in psa_reader.sequences.values():
item = property_group.action_list.add()
item.action_name = sequence.name.decode('windows-1252')
item.frame_count = sequence.frame_count
item.is_selected = True
for psa_bone in psa_reader.bones:
item = property_group.psa_bones.add()
item.bone_name = psa_bone.name
except IOError as e:
# TODO: set an error somewhere so the user knows the PSA could not be read.
pass
load_psa_file(context)
class PsaBonePropertyGroup(PropertyGroup):
bone_name: StringProperty(options=set())
class PsaDataPropertyGroup(PropertyGroup):
bones: CollectionProperty(type=PsaBonePropertyGroup)
sequence_count: IntProperty(default=0)
class PsaImportPropertyGroup(PropertyGroup):
psa_file_path: StringProperty(default='', update=on_psa_file_path_updated, name='PSA File Path')
psa_bones: CollectionProperty(type=PsaImportPsaBoneItem)
action_list: CollectionProperty(type=PsaImportActionListItem)
action_list_index: IntProperty(name='', default=0)
action_filter_name: StringProperty(default='')
should_clean_keys: BoolProperty(default=True, name='Clean Keyframes', description='Exclude unnecessary keyframes from being written to the actions.')
should_use_fake_user: BoolProperty(default=True, name='Fake User', description='Assign each imported action a fake user so that the data block is saved even it has no users.')
should_stash: BoolProperty(default=False, name='Stash', description='Stash each imported action as a strip on a new non-contributing NLA track')
psa_file_path: StringProperty(default='', options=set(), update=on_psa_file_path_updated, name='PSA File Path')
psa_error: StringProperty(default='')
psa: PointerProperty(type=PsaDataPropertyGroup)
sequence_list: CollectionProperty(type=PsaImportActionListItem)
sequence_list_index: IntProperty(name='', default=0)
should_clean_keys: BoolProperty(default=True, name='Clean Keyframes',
description='Exclude unnecessary keyframes from being written to the actions',
options=set())
should_use_fake_user: BoolProperty(default=True, name='Fake User',
description='Assign each imported action a fake user so that the data block is saved even it has no users',
options=set())
should_stash: BoolProperty(default=False, name='Stash',
description='Stash each imported action as a strip on a new non-contributing NLA track',
options=set())
should_use_action_name_prefix: BoolProperty(default=False, name='Prefix Action Name', options=set())
action_name_prefix: StringProperty(default='', name='Prefix', options=set())
should_overwrite: BoolProperty(default=False, name='Reuse Existing Actions', options=set(),
description='If an action with a matching name already exists, the existing action will have it\'s data overwritten instead of a new action being created')
should_write_keyframes: BoolProperty(default=True, name='Keyframes', options=set())
should_write_metadata: BoolProperty(default=True, name='Metadata', options=set(),
description='Additional data will be written to the custom properties of the Action (e.g., frame rate)')
sequence_filter_name: StringProperty(default='', options={'TEXTEDIT_UPDATE'})
sequence_filter_is_selected: BoolProperty(default=False, options=set(), name='Only Show Selected',
description='Only show selected sequences')
sequence_use_filter_invert: BoolProperty(default=False, options=set())
sequence_use_filter_regex: BoolProperty(default=False, name='Regular Expression',
description='Filter using regular expressions', options=set())
select_text: PointerProperty(type=bpy.types.Text)
class PSA_UL_ImportActionList(UIList):
def filter_sequences(pg: PsaImportPropertyGroup, sequences: bpy.types.bpy_prop_collection) -> List[int]:
bitflag_filter_item = 1 << 30
flt_flags = [bitflag_filter_item] * len(sequences)
if pg.sequence_filter_name is not None:
# Filter name is non-empty.
if pg.sequence_use_filter_regex:
# Use regular expression. If regex pattern doesn't compile, just ignore it.
try:
regex = re.compile(pg.sequence_filter_name)
for i, sequence in enumerate(sequences):
if not regex.match(sequence.action_name):
flt_flags[i] &= ~bitflag_filter_item
except re.error:
pass
else:
# User regular text matching.
for i, sequence in enumerate(sequences):
if not fnmatch.fnmatch(sequence.action_name, f'*{pg.sequence_filter_name}*'):
flt_flags[i] &= ~bitflag_filter_item
if pg.sequence_filter_is_selected:
for i, sequence in enumerate(sequences):
if not sequence.is_selected:
flt_flags[i] &= ~bitflag_filter_item
if pg.sequence_use_filter_invert:
# Invert filter flags for all items.
for i, sequence in enumerate(sequences):
flt_flags[i] ^= bitflag_filter_item
return flt_flags
def get_visible_sequences(pg: PsaImportPropertyGroup, sequences: bpy.types.bpy_prop_collection) -> List[
PsaImportActionListItem]:
bitflag_filter_item = 1 << 30
visible_sequences = []
for i, flag in enumerate(filter_sequences(pg, sequences)):
if bool(flag & bitflag_filter_item):
visible_sequences.append(sequences[i])
return visible_sequences
class PSA_UL_SequenceList(UIList):
def draw_item(self, context, layout, data, item, icon, active_data, active_propname, index):
row = layout.row(align=True)
@ -255,66 +343,129 @@ class PSA_UL_ImportActionList(UIList):
column.label(text=item.action_name)
def draw_filter(self, context, layout):
pg = context.scene.psa_import
row = layout.row()
subrow = row.row(align=True)
subrow.prop(self, 'filter_name', text="")
subrow.prop(self, 'use_filter_invert', text="", icon='ARROW_LEFTRIGHT')
subrow = row.row(align=True)
subrow.prop(self, 'use_filter_sort_reverse', text='', icon='SORT_ASC')
subrow.prop(pg, 'sequence_filter_name', text="")
subrow.prop(pg, 'sequence_use_filter_invert', text="", icon='ARROW_LEFTRIGHT')
subrow.prop(pg, 'sequence_use_filter_regex', text="", icon='SORTBYEXT')
subrow.prop(pg, 'sequence_filter_is_selected', text="", icon='CHECKBOX_HLT')
def filter_items(self, context, data, property):
actions = getattr(data, property)
flt_flags = []
flt_neworder = []
if self.filter_name:
flt_flags = bpy.types.UI_UL_list.filter_items_by_name(
self.filter_name,
self.bitflag_filter_item,
actions,
'action_name',
reverse=self.use_filter_invert
)
pg = context.scene.psa_import
sequences = getattr(data, property)
flt_flags = filter_sequences(pg, sequences)
flt_neworder = bpy.types.UI_UL_list.sort_items_by_name(sequences, 'action_name')
return flt_flags, flt_neworder
class PsaImportSelectAll(bpy.types.Operator):
bl_idname = 'psa_import.actions_select_all'
class PSA_UL_ImportSequenceList(PSA_UL_SequenceList, UIList):
pass
class PSA_UL_ImportActionList(PSA_UL_SequenceList, UIList):
pass
class PsaImportSequencesFromText(Operator):
bl_idname = 'psa_import.sequences_select_from_text'
bl_label = 'Select By Text List'
bl_description = 'Select sequences by name from text list'
bl_options = {'INTERNAL', 'UNDO'}
@classmethod
def poll(cls, context):
pg = context.scene.psa_import
return len(pg.sequence_list) > 0
def invoke(self, context, event):
return context.window_manager.invoke_props_dialog(self, width=256)
def draw(self, context):
layout = self.layout
pg = context.scene.psa_import
layout.label(icon='INFO', text='Each sequence name should be on a new line.')
layout.prop(pg, 'select_text', text='')
def execute(self, context):
pg = context.scene.psa_import
contents = pg.select_text.as_string()
count = 0
for line in contents.split('\n'):
for sequence in pg.sequence_list:
if sequence.action_name == line:
sequence.is_selected = True
count += 1
self.report({'INFO'}, f'Selected {count} sequence(s)')
return {'FINISHED'}
class PsaImportSequencesSelectAll(Operator):
bl_idname = 'psa_import.sequences_select_all'
bl_label = 'All'
bl_description = 'Select all actions'
bl_description = 'Select all visible sequences'
bl_options = {'INTERNAL'}
@classmethod
def poll(cls, context):
property_group = context.scene.psa_import
action_list = property_group.action_list
has_unselected_actions = any(map(lambda action: not action.is_selected, action_list))
return len(action_list) > 0 and has_unselected_actions
pg = context.scene.psa_import
visible_sequences = get_visible_sequences(pg, pg.sequence_list)
has_unselected_actions = any(map(lambda action: not action.is_selected, visible_sequences))
return len(visible_sequences) > 0 and has_unselected_actions
def execute(self, context):
property_group = context.scene.psa_import
for action in property_group.action_list:
action.is_selected = True
pg = context.scene.psa_import
visible_sequences = get_visible_sequences(pg, pg.sequence_list)
for sequence in visible_sequences:
sequence.is_selected = True
return {'FINISHED'}
class PsaImportDeselectAll(bpy.types.Operator):
bl_idname = 'psa_import.actions_deselect_all'
class PsaImportSequencesDeselectAll(Operator):
bl_idname = 'psa_import.sequences_deselect_all'
bl_label = 'None'
bl_description = 'Deselect all actions'
bl_description = 'Deselect all visible sequences'
bl_options = {'INTERNAL'}
@classmethod
def poll(cls, context):
property_group = context.scene.psa_import
action_list = property_group.action_list
has_selected_actions = any(map(lambda action: action.is_selected, action_list))
return len(action_list) > 0 and has_selected_actions
pg = context.scene.psa_import
visible_sequences = get_visible_sequences(pg, pg.sequence_list)
has_selected_sequences = any(map(lambda sequence: sequence.is_selected, visible_sequences))
return len(visible_sequences) > 0 and has_selected_sequences
def execute(self, context):
property_group = context.scene.psa_import
for action in property_group.action_list:
action.is_selected = False
pg = context.scene.psa_import
visible_sequences = get_visible_sequences(pg, pg.sequence_list)
for sequence in visible_sequences:
sequence.is_selected = False
return {'FINISHED'}
class PSA_PT_ImportPanel_Advanced(Panel):
bl_space_type = 'PROPERTIES'
bl_region_type = 'WINDOW'
bl_label = 'Advanced'
bl_options = {'DEFAULT_CLOSED'}
bl_parent_id = 'PSA_PT_ImportPanel'
def draw(self, context):
layout = self.layout
pg = context.scene.psa_import
col = layout.column(heading="Options")
col.use_property_split = True
col.use_property_decorate = False
col.prop(pg, 'should_clean_keys')
col.separator()
col.prop(pg, 'should_use_fake_user')
col.prop(pg, 'should_stash')
col.prop(pg, 'should_use_action_name_prefix')
if pg.should_use_action_name_prefix:
col.prop(pg, 'action_name_prefix')
class PSA_PT_ImportPanel(Panel):
bl_space_type = 'PROPERTIES'
bl_region_type = 'WINDOW'
@ -329,41 +480,73 @@ class PSA_PT_ImportPanel(Panel):
def draw(self, context):
layout = self.layout
property_group = context.scene.psa_import
pg = context.scene.psa_import
row = layout.row(align=True)
row.operator(PsaImportSelectFile.bl_idname, text='', icon='FILEBROWSER')
row.prop(pg, 'psa_file_path', text='')
row.operator(PsaImportFileReload.bl_idname, text='', icon='FILE_REFRESH')
if pg.psa_error != '':
row = layout.row()
row.label(text='File could not be read', icon='ERROR')
box = layout.box()
box.label(text=f'Sequences ({len(pg.sequence_list)})', icon='ARMATURE_DATA')
# select
rows = max(3, min(len(pg.sequence_list), 10))
row = box.row()
col = row.column()
row2 = col.row(align=True)
row2.label(text='Select')
row2.operator(PsaImportSequencesFromText.bl_idname, text='', icon='TEXT')
row2.operator(PsaImportSequencesSelectAll.bl_idname, text='All', icon='CHECKBOX_HLT')
row2.operator(PsaImportSequencesDeselectAll.bl_idname, text='None', icon='CHECKBOX_DEHLT')
col = col.row()
col.template_list('PSA_UL_ImportSequenceList', '', pg, 'sequence_list', pg, 'sequence_list_index', rows=rows)
col = layout.column(heading='')
col.use_property_split = True
col.use_property_decorate = False
col.prop(pg, 'should_overwrite')
col = layout.column(heading='Write')
col.use_property_split = True
col.use_property_decorate = False
col.prop(pg, 'should_write_keyframes')
col.prop(pg, 'should_write_metadata')
selected_sequence_count = sum(map(lambda x: x.is_selected, pg.sequence_list))
row = layout.row()
row.prop(property_group, 'psa_file_path', text='')
row.enabled = False
row = layout.row()
row.operator('psa_import.select_file', text='Select PSA File', icon='FILEBROWSER')
import_button_text = 'Import'
if selected_sequence_count > 0:
import_button_text = f'Import ({selected_sequence_count})'
if len(property_group.action_list) > 0:
box = layout.box()
box.label(text=f'Actions ({len(property_group.action_list)})', icon='ACTION')
row = box.row()
rows = max(3, min(len(property_group.action_list), 10))
row.template_list('PSA_UL_ImportActionList', '', property_group, 'action_list', property_group, 'action_list_index', rows=rows)
row = box.row(align=True)
row.label(text='Select')
row.operator('psa_import.actions_select_all', text='All')
row.operator('psa_import.actions_deselect_all', text='None')
row.operator(PsaImportOperator.bl_idname, text=import_button_text)
row = layout.row()
row.prop(property_group, 'should_clean_keys')
# DATA
row = layout.row()
row.prop(property_group, 'should_use_fake_user')
row.prop(property_group, 'should_stash')
class PsaImportFileReload(Operator):
bl_idname = 'psa_import.file_reload'
bl_label = 'Refresh'
bl_options = {'INTERNAL'}
bl_description = 'Refresh the PSA file'
layout.operator('psa_import.import', text=f'Import')
def execute(self, context):
load_psa_file(context)
return {"FINISHED"}
class PsaImportSelectFile(Operator):
bl_idname = 'psa_import.select_file'
bl_label = 'Select'
bl_options = {'REGISTER', 'UNDO'}
bl_options = {'INTERNAL'}
bl_description = 'Select a PSA file from which to import animations'
filepath: bpy.props.StringProperty(subtype='FILE_PATH')
filter_glob: bpy.props.StringProperty(default="*.psa", options={'HIDDEN'})
@ -381,32 +564,42 @@ class PsaImportOperator(Operator):
bl_idname = 'psa_import.import'
bl_label = 'Import'
bl_description = 'Import the selected animations into the scene as actions'
bl_options = {'INTERNAL', 'UNDO'}
@classmethod
def poll(cls, context):
property_group = context.scene.psa_import
pg = context.scene.psa_import
active_object = context.view_layer.objects.active
action_list = property_group.action_list
has_selected_actions = any(map(lambda action: action.is_selected, action_list))
return has_selected_actions and active_object is not None and active_object.type == 'ARMATURE'
if active_object is None or active_object.type != 'ARMATURE':
return False
return any(map(lambda x: x.is_selected, pg.sequence_list))
def execute(self, context):
property_group = context.scene.psa_import
psa_reader = PsaReader(property_group.psa_file_path)
sequence_names = [x.action_name for x in property_group.action_list if x.is_selected]
pg = context.scene.psa_import
psa_reader = PsaReader(pg.psa_file_path)
sequence_names = [x.action_name for x in pg.sequence_list if x.is_selected]
options = PsaImportOptions()
options.sequence_names = sequence_names
options.should_clean_keys = property_group.should_clean_keys
options.should_use_fake_user = property_group.should_use_fake_user
options.should_stash = property_group.should_stash
options.should_clean_keys = pg.should_clean_keys
options.should_use_fake_user = pg.should_use_fake_user
options.should_stash = pg.should_stash
options.action_name_prefix = pg.action_name_prefix if pg.should_use_action_name_prefix else ''
options.should_overwrite = pg.should_overwrite
options.should_write_metadata = pg.should_write_metadata
options.should_write_keyframes = pg.should_write_keyframes
PsaImporter().import_psa(psa_reader, context.view_layer.objects.active, options)
self.report({'INFO'}, f'Imported {len(sequence_names)} action(s)')
return {'FINISHED'}
class PsaImportFileSelectOperator(Operator, ImportHelper):
bl_idname = 'psa_import.file_select'
bl_label = 'File Select'
bl_options = {'INTERNAL'}
filename_ext = '.psa'
filter_glob: StringProperty(default='*.psa', options={'HIDDEN'})
filepath: StringProperty(
@ -420,21 +613,26 @@ class PsaImportFileSelectOperator(Operator, ImportHelper):
return {'RUNNING_MODAL'}
def execute(self, context):
property_group = context.scene.psa_import
property_group.psa_file_path = self.filepath
# Load the sequence names from the selected file
pg = context.scene.psa_import
pg.psa_file_path = self.filepath
return {'FINISHED'}
__classes__ = [
PsaImportPsaBoneItem,
classes = (
PsaImportActionListItem,
PsaBonePropertyGroup,
PsaDataPropertyGroup,
PsaImportPropertyGroup,
PSA_UL_SequenceList,
PSA_UL_ImportSequenceList,
PSA_UL_ImportActionList,
PsaImportSelectAll,
PsaImportDeselectAll,
PsaImportSequencesSelectAll,
PsaImportSequencesDeselectAll,
PsaImportSequencesFromText,
PsaImportFileReload,
PSA_PT_ImportPanel,
PSA_PT_ImportPanel_Advanced,
PsaImportOperator,
PsaImportFileSelectOperator,
PsaImportSelectFile,
]
)

View File

@ -1,14 +1,17 @@
from .data import *
import ctypes
import numpy as np
from .data import *
class PsaReader(object):
"""
This class will read the sequences and bone information immediately upon instantiation and hold onto a file handle.
This class reads the sequences and bone information immediately upon instantiation and hold onto a file handle.
The key data is not read into memory upon instantiation due to it's potentially very large size.
To read the key data for a particular sequence, call `read_sequence_keys`.
"""
def __init__(self, path):
self.keys_data_offset: int = 0
self.fp = open(path, 'rb')
@ -19,18 +22,9 @@ class PsaReader(object):
return self.psa.bones
@property
def sequences(self):
def sequences(self) -> OrderedDict[Psa.Sequence]:
return self.psa.sequences
@staticmethod
def _read_types(fp, data_class: ctypes.Structure, section: Section, data):
buffer_length = section.data_size * section.data_count
buffer = fp.read(buffer_length)
offset = 0
for _ in range(section.data_count):
data.append(data_class.from_buffer_copy(buffer, offset))
offset += section.data_size
def read_sequence_data_matrix(self, sequence_name: str):
sequence = self.psa.sequences[sequence_name]
keys = self.read_sequence_keys(sequence_name)
@ -65,6 +59,15 @@ class PsaReader(object):
offset += data_size
return keys
@staticmethod
def _read_types(fp, data_class: ctypes.Structure, section: Section, data):
buffer_length = section.data_size * section.data_count
buffer = fp.read(buffer_length)
offset = 0
for _ in range(section.data_count):
data.append(data_class.from_buffer_copy(buffer, offset))
offset += section.data_size
def _read(self, fp) -> Psa:
psa = Psa()
while fp.read(1):
@ -88,4 +91,3 @@ class PsaReader(object):
else:
raise RuntimeError(f'Unrecognized section "{section.name}"')
return psa
1

View File

@ -1,6 +1,5 @@
import bpy
import bmesh
from collections import OrderedDict
from .data import *
from ..helpers import *
@ -70,34 +69,20 @@ class PskBuilder(object):
# If the mesh has no armature object, simply assign it a dummy bone at the root to satisfy the requirement
# that a PSK file must have at least one bone.
psk_bone = Psk.Bone()
psk_bone.name = bytes('static', encoding='utf-8')
psk_bone.name = bytes('root', encoding='windows-1252')
psk_bone.flags = 0
psk_bone.children_count = 0
psk_bone.parent_index = 0
psk_bone.location = Vector3(0, 0, 0)
psk_bone.rotation = Quaternion(0, 0, 0, 1)
psk_bone.location = Vector3.zero()
psk_bone.rotation = Quaternion.identity()
psk.bones.append(psk_bone)
else:
bones = list(armature_object.data.bones)
# If we are filtering by bone groups, get only the bones that are in the specified bone groups and their
# ancestors.
if options.bone_filter_mode == 'BONE_GROUPS':
bone_indices = get_export_bone_indices_for_bone_groups(armature_object, options.bone_group_indices)
bones = [bones[bone_index] for bone_index in bone_indices]
# Ensure that the exported hierarchy has a single root bone.
root_bones = [x for x in bones if x.parent is None]
print('root bones')
print(root_bones)
if len(root_bones) > 1:
root_bone_names = [x.name for x in root_bones]
raise RuntimeError('Exported bone hierarchy must have a single root bone.'
f'The bone hierarchy marked for export has {len(root_bones)} root bones: {root_bone_names}')
bone_names = get_export_bone_names(armature_object, options.bone_filter_mode, options.bone_group_indices)
bones = [armature_object.data.bones[bone_name] for bone_name in bone_names]
for bone in bones:
psk_bone = Psk.Bone()
psk_bone.name = bytes(bone.name, encoding='utf-8')
psk_bone.name = bytes(bone.name, encoding='windows-1252')
psk_bone.flags = 0
psk_bone.children_count = 0
@ -133,9 +118,9 @@ class PskBuilder(object):
psk.bones.append(psk_bone)
vertex_offset = 0
for object in input_objects.mesh_objects:
vertex_offset = len(psk.points)
# VERTICES
for vertex in object.data.vertices:
point = Vector3()
@ -153,8 +138,10 @@ class PskBuilder(object):
if m is None:
raise RuntimeError('Material cannot be empty (index ' + str(i) + ')')
if m.name in materials:
# Material already evaluated, just get its index.
material_index = list(materials.keys()).index(m.name)
else:
# New material.
material = Psk.Material()
material.name = bytes(m.name, encoding='utf-8')
material.texture_index = len(psk.materials)
@ -230,9 +217,9 @@ class PskBuilder(object):
bone = bone.parent
for vertex_group_index, vertex_group in enumerate(object.vertex_groups):
if vertex_group_index not in vertex_group_bone_indices:
# Vertex group has no associated bone, skip it.
continue
bone_index = vertex_group_bone_indices[vertex_group_index]
# TODO: exclude vertex group if it doesn't match to a bone we are exporting
for vertex_index in range(len(object.data.vertices)):
try:
weight = vertex_group.weight(vertex_index)
@ -246,6 +233,4 @@ class PskBuilder(object):
w.weight = weight
psk.weights.append(w)
vertex_offset = len(psk.points)
return psk

View File

@ -1,9 +1,9 @@
from typing import List
from ..data import *
class Psk(object):
class Wedge(object):
def __init__(self):
self.point_index: int = 0

View File

@ -1,11 +1,13 @@
from .data import *
from ..types import BoneGroupListItem
from ..helpers import populate_bone_group_list
from .builder import PskBuilder, PskBuilderOptions
from typing import Type
from bpy.props import StringProperty, CollectionProperty, IntProperty, EnumProperty
from bpy.types import Operator, PropertyGroup
from bpy_extras.io_utils import ExportHelper
from bpy.props import StringProperty, CollectionProperty, IntProperty, BoolProperty, EnumProperty
from .builder import PskBuilder, PskBuilderOptions
from .data import *
from ..helpers import populate_bone_group_list
from ..types import BoneGroupListItem
MAX_WEDGE_COUNT = 65536
MAX_POINT_COUNT = 4294967296
@ -73,6 +75,7 @@ def is_bone_filter_mode_item_available(context, identifier):
class PskExportOperator(Operator, ExportHelper):
bl_idname = 'export.psk'
bl_label = 'Export'
bl_options = {'INTERNAL', 'UNDO'}
__doc__ = 'Export mesh and armature to PSK'
filename_ext = '.psk'
filter_glob: StringProperty(default='*.psk', options={'HIDDEN'})
@ -90,10 +93,10 @@ class PskExportOperator(Operator, ExportHelper):
self.report({'ERROR_INVALID_CONTEXT'}, str(e))
return {'CANCELLED'}
property_group = context.scene.psk_export
pg = context.scene.psk_export
# Populate bone groups list.
populate_bone_group_list(input_objects.armature_object, property_group.bone_group_list)
populate_bone_group_list(input_objects.armature_object, pg.bone_group_list)
context.window_manager.fileselect_add(self)
@ -102,29 +105,30 @@ class PskExportOperator(Operator, ExportHelper):
def draw(self, context):
layout = self.layout
scene = context.scene
property_group = scene.psk_export
pg = scene.psk_export
# BONES
box = layout.box()
box.label(text='Bones', icon='BONE_DATA')
bone_filter_mode_items = property_group.bl_rna.properties['bone_filter_mode'].enum_items_static
bone_filter_mode_items = pg.bl_rna.properties['bone_filter_mode'].enum_items_static
row = box.row(align=True)
for item in bone_filter_mode_items:
identifier = item.identifier
item_layout = row.row(align=True)
item_layout.prop_enum(property_group, 'bone_filter_mode', item.identifier)
item_layout.prop_enum(pg, 'bone_filter_mode', item.identifier)
item_layout.enabled = is_bone_filter_mode_item_available(context, identifier)
if property_group.bone_filter_mode == 'BONE_GROUPS':
if pg.bone_filter_mode == 'BONE_GROUPS':
row = box.row()
rows = max(3, min(len(property_group.bone_group_list), 10))
row.template_list('PSX_UL_BoneGroupList', '', property_group, 'bone_group_list', property_group, 'bone_group_list_index', rows=rows)
rows = max(3, min(len(pg.bone_group_list), 10))
row.template_list('PSX_UL_BoneGroupList', '', pg, 'bone_group_list', pg, 'bone_group_list_index', rows=rows)
def execute(self, context):
property_group = context.scene.psk_export
pg = context.scene.psk_export
builder = PskBuilder()
options = PskBuilderOptions()
options.bone_group_indices = [x.index for x in property_group.bone_group_list if x.is_selected]
options.bone_filter_mode = pg.bone_filter_mode
options.bone_group_indices = [x.index for x in pg.bone_group_list if x.is_selected]
try:
psk = builder.build(context, options)
exporter = PskExporter(psk)
@ -138,17 +142,19 @@ class PskExportOperator(Operator, ExportHelper):
class PskExportPropertyGroup(PropertyGroup):
bone_filter_mode: EnumProperty(
name='Bone Filter',
options=set(),
description='',
items=(
('ALL', 'All', 'All bones will be exported.'),
('BONE_GROUPS', 'Bone Groups', 'Only bones belonging to the selected bone groups and their ancestors will be exported.')
('BONE_GROUPS', 'Bone Groups',
'Only bones belonging to the selected bone groups and their ancestors will be exported.')
)
)
bone_group_list: CollectionProperty(type=BoneGroupListItem)
bone_group_list_index: IntProperty(default=0)
__classes__ = [
classes = (
PskExportOperator,
PskExportPropertyGroup
]
)

View File

@ -1,16 +1,19 @@
import os
import bpy
import bmesh
import numpy as np
import sys
from math import inf
from typing import Optional
from .data import Psk
from ..helpers import rgb_to_srgb
from mathutils import Quaternion, Vector, Matrix
from .reader import PskReader
from bpy.props import StringProperty, EnumProperty, BoolProperty
import bmesh
import bpy
import numpy as np
from bpy.props import BoolProperty, EnumProperty, FloatProperty, StringProperty
from bpy.types import Operator, PropertyGroup
from bpy_extras.io_utils import ImportHelper
from mathutils import Quaternion, Vector, Matrix
from .data import Psk
from .reader import PskReader
from ..helpers import rgb_to_srgb
class PskImportOptions(object):
@ -20,6 +23,7 @@ class PskImportOptions(object):
self.vertex_color_space = 'sRGB'
self.should_import_vertex_normals = True
self.should_import_extra_uvs = True
self.bone_length = 1.0
class PskImporter(object):
@ -60,7 +64,6 @@ class PskImporter(object):
self.post_quat: Quaternion = Quaternion()
import_bones = []
new_bone_size = 8.0
for bone_index, psk_bone in enumerate(psk.bones):
import_bone = ImportBone(bone_index, psk_bone)
@ -93,7 +96,7 @@ class PskImporter(object):
else:
import_bone.local_rotation.conjugate()
edit_bone.tail = Vector((0.0, new_bone_size, 0.0))
edit_bone.tail = Vector((0.0, options.bone_length, 0.0))
edit_bone_matrix = import_bone.local_rotation.conjugated()
edit_bone_matrix.rotate(import_bone.world_matrix)
edit_bone_matrix = edit_bone_matrix.to_matrix().to_4x4()
@ -209,7 +212,8 @@ class PskImporter(object):
# Get a list of all bones that have weights associated with them.
vertex_group_bone_indices = set(map(lambda weight: weight.bone_index, psk.weights))
for import_bone in map(lambda x: import_bones[x], sorted(list(vertex_group_bone_indices))):
import_bone.vertex_group = mesh_object.vertex_groups.new(name=import_bone.psk_bone.name.decode('windows-1252'))
import_bone.vertex_group = mesh_object.vertex_groups.new(
name=import_bone.psk_bone.name.decode('windows-1252'))
for weight in psk.weights:
import_bones[weight.bone_index].vertex_group.add((weight.point_index,), weight.weight, 'ADD')
@ -228,9 +232,15 @@ class PskImporter(object):
class PskImportPropertyGroup(PropertyGroup):
should_import_vertex_colors: BoolProperty(default=True, name='Vertex Colors', description='Import vertex colors from PSKX files, if available')
should_import_vertex_colors: BoolProperty(
default=True,
options=set(),
name='Vertex Colors',
description='Import vertex colors from PSKX files, if available'
)
vertex_color_space: EnumProperty(
name='Vertex Color Space',
options=set(),
description='The source vertex color space',
default='SRGBA',
items=(
@ -238,13 +248,33 @@ class PskImportPropertyGroup(PropertyGroup):
('SRGBA', 'sRGBA', ''),
)
)
should_import_vertex_normals: BoolProperty(default=True, name='Vertex Normals', description='Import vertex normals from PSKX files, if available')
should_import_extra_uvs: BoolProperty(default=True, name='Extra UVs', description='Import extra UV maps from PSKX files, if available')
should_import_vertex_normals: BoolProperty(
default=True,
name='Vertex Normals',
options=set(),
description='Import vertex normals from PSKX files, if available'
)
should_import_extra_uvs: BoolProperty(
default=True,
name='Extra UVs',
options=set(),
description='Import extra UV maps from PSKX files, if available'
)
bone_length: FloatProperty(
default=1.0,
min=sys.float_info.epsilon,
step=100,
soft_min=1.0,
name='Bone Length',
options=set(),
description='Length of the bones'
)
class PskImportOperator(Operator, ImportHelper):
bl_idname = 'import.psk'
bl_label = 'Export'
bl_options = {'INTERNAL', 'UNDO'}
__doc__ = 'Load a PSK file'
filename_ext = '.psk'
filter_glob: StringProperty(default='*.psk;*.pskx', options={'HIDDEN'})
@ -260,7 +290,11 @@ class PskImportOperator(Operator, ImportHelper):
psk = reader.read(self.filepath)
options = PskImportOptions()
options.name = os.path.splitext(os.path.basename(self.filepath))[0]
options.should_import_extra_uvs = pg.should_import_extra_uvs
options.should_import_vertex_colors = pg.should_import_vertex_colors
options.should_import_vertex_normals = pg.should_import_vertex_normals
options.vertex_color_space = pg.vertex_color_space
options.bone_length = pg.bone_length
PskImporter().import_psk(psk, context, options)
return {'FINISHED'}
@ -274,9 +308,10 @@ class PskImportOperator(Operator, ImportHelper):
layout.prop(pg, 'should_import_vertex_colors')
if pg.should_import_vertex_colors:
layout.prop(pg, 'vertex_color_space')
layout.prop(pg, 'bone_length')
__classes__ = [
classes = (
PskImportOperator,
PskImportPropertyGroup,
]
)

View File

@ -1,6 +1,7 @@
from .data import *
import ctypes
from .data import *
class PskReader(object):

View File

@ -1,17 +1,18 @@
from bpy.types import PropertyGroup, UIList
from bpy.props import StringProperty, IntProperty, BoolProperty
from bpy.types import PropertyGroup, UIList
class PSX_UL_BoneGroupList(UIList):
def draw_item(self, context, layout, data, item, icon, active_data, active_propname, index):
layout.alignment = 'LEFT'
layout.prop(item, 'is_selected', icon_only=True)
layout.label(text=item.name, icon='GROUP_BONE' if item.index >= 0 else 'NONE')
row = layout.row()
row.prop(item, 'is_selected', text=item.name)
row.label(text=str(item.count), icon='BONE_DATA')
class BoneGroupListItem(PropertyGroup):
name: StringProperty()
index: IntProperty()
count: IntProperty()
is_selected: BoolProperty(default=False)
@property
@ -19,7 +20,7 @@ class BoneGroupListItem(PropertyGroup):
return self.name
__classes__ = [
classes = (
BoneGroupListItem,
PSX_UL_BoneGroupList
]
PSX_UL_BoneGroupList,
)