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refactor skn

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This commit is contained in:
Amazed 2021-02-23 19:22:02 +01:00
parent 55bb2e423b
commit 05f665e6ab
3 changed files with 307 additions and 293 deletions
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30
lib/fileutils.py
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@ -70,3 +70,33 @@ def decompress(compressed_bytes, original_size: int):
j += 1
dec_bits += 1
return res
def read_int_and_print(n, b):
a = read_int(b)
print("%s=%s" % (n, a))
return a
def read_float_and_print(n, b):
a = read_float(b)
print("%s=%s" % (n, a))
return a
def read_byte_and_print(n, b):
a = read_byte(b)
print("%s=%s" % (n, a))
return a
def read_short_and_print(n, b):
a = read_short(b)
print("%s=%s" % (n, a))
return a
def read_string_until_none_and_print(n, b):
s = read_string_until_none(b)
print("%s=%s" % (n, s))
return s

267
lib/skn_anm.py Normal file
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@ -0,0 +1,267 @@
from lib.fileutils import *
from dataclasses import dataclass, field
from typing import List, Union
NAM_FlagHasHandles = (1 << 0)
NAM_FlagCaseInsensitive = (1 << 1)
ANM_NODE_FLAG_POS_ANIMATED = (1 << 0)
ANM_NODE_FLAG_ROT_ANIMATED = (1 << 1)
ANM_NODE_FLAG_ROL_ANIMATED = (1 << 2)
ANM_NODE_FLAG_SCL_ANIMATED = (1 << 3)
ANM_NODE_FLAG_AFF_ANIMATED = (1 << 4)
ANM_NODE_FLAG_USR_ANIMATED = (1 << 5)
ANM_NODE_FLAG_ANIMATED = ((1 << 6) - 1)
@dataclass
class Vec3Indexed:
x: float
y: float
z: float
index: int
@classmethod
def create(cls, b, offset=None):
old = b.tell()
if offset:
b.seek(offset)
x = read_float_and_print("Vec3->x", b)
y = read_float_and_print("Vec3->y", b)
z = read_float_and_print("Vec3->z", b)
index = read_int_and_print("Vec3->index", b)
if offset:
b.seek(old)
return cls(x=x, y=y, z=z, index=index)
@dataclass
class Vec3:
x: float
y: float
z: float
@classmethod
def create(cls, b, offset=None):
old = b.tell()
if offset:
b.seek(offset)
x = read_float_and_print("Vec3->x", b)
y = read_float_and_print("Vec3->y", b)
z = read_float_and_print("Vec3->z", b)
if offset:
b.seek(old)
return cls(x=x, y=y, z=z)
@dataclass
class AnmObj:
custom: int
skin: int = field(repr=False)
zero_cluster: int
total_number_vertices: int
num_clusters: int
clusters: List['AnmCluster']
@classmethod
def create(cls, b, offset=None):
old = b.tell()
if offset:
b.seek(offset)
custom = read_int_and_print("ANM_Obj->Custom", b)
skin = read_int_and_print("ANM_Obj->Skin", b)
zero = read_int_and_print("ANM_Obj->ZeroCluster", b)
total_vertices = read_int_and_print("ANM_Obj->TotalNumberOfVertices", b)
num_clusters = read_int_and_print("ANM_Obj->NumberOfClusters", b)
clusters_offset = read_int_and_print("ANM_Obj->Clusters", b)
clusters = []
_old1 = b.tell()
b.seek(clusters_offset)
for _ in range(num_clusters):
cluster = AnmCluster.create(b)
clusters.append(cluster)
b.seek(_old1)
if offset:
b.seek(old)
r = cls(custom=custom, skin=skin, zero_cluster=zero, total_number_vertices=total_vertices, num_clusters=num_clusters, clusters=clusters)
for cluster in clusters:
cluster.obj = r
return r
@dataclass
class AnmCluster:
custom: int = field(repr=False)
obj: Union[AnmObj, None]
handle: int
bounding_box: List[Vec3] = field(repr=False) # size 2
num_vertices: int
vertices: List[Vec3Indexed] = field(repr=False)
bone_name: str = ""
@classmethod
def create(cls, b, offset=None):
old = b.tell()
if offset:
b.seek(offset)
custom = read_int_and_print("ANM_Cluster->Custom", b)
obj_offset = read_int_and_print("ANM_Cluster->Obj", b)
if obj_offset == 0: # ugly hack, dunno why we need that
_ = read_int_and_print("ANM_Cluster->Custom", b)
_ = read_int_and_print("ANM_Cluster->Obj", b)
obj = None # is set by parent Obj
handle = read_int_and_print("ANM_Cluster->Handle", b)
bbox1 = Vec3.create(b)
bbox2 = Vec3.create(b)
bounding_box = [bbox1, bbox2]
num_vertices = read_int_and_print("ANM_Cluster->num_vertices", b)
vertices = []
for _ in range(num_vertices):
v = Vec3Indexed.create(b)
vertices.append(v)
if offset:
b.seek(old)
return cls(custom=custom, obj=obj, handle=handle, bounding_box=bounding_box, num_vertices=num_vertices, vertices=vertices)
class NamDictionnary:
@staticmethod
def create(b, cls, depth=1, offset=None):
r = {}
old = b.tell()
if offset:
b.seek(offset)
read_int_and_print("NAM_Dictionnary->pMemGroup", b)
namemapper = read_int_and_print("NAM_Dictionnary->pNameMapper", b)
flags = read_int_and_print("NAM_Dictionnary->Flags", b)
print("Flags: NAM_FlagHasHandles: %s, NAM_FlagCaseInsensitive: %s" % (flags & NAM_FlagHasHandles, flags & NAM_FlagCaseInsensitive))
read_short_and_print("NAM_Dictionnary->NameHandle", b)
b.seek(namemapper)
read_int_and_print("pMemGroup", b)
read_int_and_print("MemBaseSize", b)
read_int_and_print("MemBlocks", b)
read_int_and_print("MemSize", b)
read_int_and_print("MemFree", b)
read_int_and_print("pMem", b)
read_int_and_print("MaxMappings", b)
totalmappings = read_int_and_print("TotalMappings", b)
read_int_and_print("TotalKeys", b)
p_key_contexts = read_int_and_print("pKeyContexts", b)
print("MAP_Image->ANM_Skin->NAM_Dictionnary->MAP_Mapper->MAP_KeyContext")
b.seek(p_key_contexts)
print("\tMAP_Image->ANM_Skin->NAM_Dictionnary->MAP_Mapper->MAP_KeyContext->MAP_BinSearchContext")
_ = read_int_and_print("\tSize", b)
read_int_and_print("\tpCallback", b)
read_int_and_print("\tIndex", b)
read_int_and_print("\tTest", b)
p_lut = read_int_and_print("pLUT", b)
read_int_and_print("Reserve", b)
read_int_and_print("pData", b)
for i in range(totalmappings):
b.seek(p_lut)
pindx = read_int(b)
for _ in range(i):
pindx = read_int(b)
print("LUT INDEX: %s" % pindx)
b.seek(pindx)
if not flags & NAM_FlagHasHandles:
read_short_and_print("pPtr", b)
read_short_and_print("pPtr2", b)
val = read_int_and_print("Value", b)
name = read_string_until_none_and_print("name", b)
if depth > 1:
item = NamDictionnary.create(b, cls, depth-1, val)
else:
item = cls.create(b, val)
r[name] = item
else:
refcnt = read_short_and_print("RefCnt", b)
handle = read_short_and_print("Handle", b)
read_int_and_print("Test", b)
read_int_and_print("Test", b)
bone_name = read_string_until_none_and_print("BoneName", b)
r[str(i)] = {"RefCnt": refcnt, "Handle": handle, "BoneName": bone_name}
if offset:
b.seek(old)
return r
@dataclass
class AnmSkin:
custom: int
file_version: int
image: int
memgroup: int
node_dictionnary: List[List]
tree_dictionnary: List[List[AnmObj]]
default_obj_dictionnary: List[AnmObj]
total_number_trees: int
total_number_objs: int
total_number_clusters: int
name: str
@staticmethod
def link(nodedict, defaultobjtree):
for obj_name, obj in defaultobjtree.items():
for cluster in obj.clusters:
cluster_handle = cluster.handle
k = str(cluster_handle - 1)
cluster.bone_name = nodedict[k]["BoneName"]
@classmethod
def create(cls, b, offset=None):
old = b.tell()
if offset:
b.seek(offset)
custom = read_int_and_print("pCustom", b)
version = read_int_and_print("FileVersion", b)
image = read_int_and_print("pImage", b)
memgroup = read_int_and_print("pMemGroup", b)
node = read_int_and_print("pNodeDictionary", b)
tree = read_int_and_print("pTreeDictionary", b)
defaultobj = read_int_and_print("pDefaultObjDictionary", b)
num_trees = read_int_and_print("TotalNumberOfTrees", b)
num_objs = read_int_and_print("TotalNumberOfObjs", b)
num_clusters = read_int_and_print("TotalNumberOfClusters", b)
name = read_string_until_none_and_print("Name", b)
nodedict = NamDictionnary.create(b, AnmObj, offset=node)
treedict = NamDictionnary.create(b, AnmObj, depth=2, offset=tree)
defaultobjdict = NamDictionnary.create(b, AnmObj, offset=defaultobj)
AnmSkin.link(nodedict, defaultobjdict)
r = cls(custom=custom, file_version=version, image=image, memgroup=memgroup, node_dictionnary=nodedict, tree_dictionnary=treedict, default_obj_dictionnary=defaultobjdict, total_number_trees=num_trees, total_number_objs=num_objs, total_number_clusters=num_clusters, name=name)
if offset:
b.seek(old)
return r
@dataclass
class AnmFile:
@staticmethod
def parse(b, cls):
_ = read_int_and_print("size", b)
memgroupoffset = read_int_and_print("memgroupoffset", b)
b.seek(memgroupoffset)
read_int_and_print("\tNode", b)
read_int_and_print("\tSize", b)
read_int_and_print("\tFlags", b)
read_int_and_print("pMemGroup", b)
read_int_and_print("MemList", b)
read_int_and_print("TotalSize", b)
read_int_and_print("TotalBlocks", b)
base = read_int_and_print("pBase", b)
return cls.create(b, base)

303
skn.py
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@ -1,301 +1,18 @@
from lib.fileutils import *
from dataclasses import dataclass, field
from typing import List, Union
from lib.skn_anm import *
@dataclass
class Vec3Indexed:
x: float
y: float
z: float
index: int
@classmethod
def create(cls, b, offset=None):
old = b.tell()
if offset:
b.seek(offset)
x = read_float_and_print("Vec3->x", b)
y = read_float_and_print("Vec3->y", b)
z = read_float_and_print("Vec3->z", b)
index = read_int_and_print("Vec3->index", b)
if offset:
b.seek(old)
return cls(x=x, y=y, z=z, index=index)
@dataclass
class Vec3:
x: float
y: float
z: float
@classmethod
def create(cls, b, offset=None):
old = b.tell()
if offset:
b.seek(offset)
x = read_float_and_print("Vec3->x", b)
y = read_float_and_print("Vec3->y", b)
z = read_float_and_print("Vec3->z", b)
if offset:
b.seek(old)
return cls(x=x, y=y, z=z)
@dataclass
class AnmObj:
custom: int
skin: int = field(repr=False)
zero_cluster: int
total_number_vertices: int
num_clusters: int
clusters: List['AnmCluster']
@classmethod
def create(cls, b, offset=None):
old = b.tell()
if offset:
b.seek(offset)
custom = read_int_and_print("ANM_Obj->Custom", b)
skin = read_int_and_print("ANM_Obj->Skin", b)
zero = read_int_and_print("ANM_Obj->ZeroCluster", b)
total_vertices = read_int_and_print("ANM_Obj->TotalNumberOfVertices", b)
num_clusters = read_int_and_print("ANM_Obj->NumberOfClusters", b)
clusters_offset = read_int_and_print("ANM_Obj->Clusters", b)
clusters = []
_old1 = b.tell()
b.seek(clusters_offset)
for _ in range(num_clusters):
cluster = AnmCluster.create(b)
clusters.append(cluster)
b.seek(_old1)
if offset:
b.seek(old)
r = cls(custom=custom, skin=skin, zero_cluster=zero, total_number_vertices=total_vertices, num_clusters=num_clusters, clusters=clusters)
for cluster in clusters:
cluster.obj = r
return r
@dataclass
class AnmCluster:
custom: int = field(repr=False)
obj: Union[AnmObj, None]
handle: int
bounding_box: List[Vec3] = field(repr=False) # size 2
num_vertices: int
vertices: List[Vec3Indexed] = field(repr=False)
bone_name: str = ""
@classmethod
def create(cls, b, offset=None):
old = b.tell()
if offset:
b.seek(offset)
custom = read_int_and_print("ANM_Cluster->Custom", b)
obj_offset = read_int_and_print("ANM_Cluster->Obj", b)
if obj_offset == 0: # ugly hack, dunno why we need that
_ = read_int_and_print("ANM_Cluster->Custom", b)
_ = read_int_and_print("ANM_Cluster->Obj", b)
obj = None # is set by parent Obj
handle = read_int_and_print("ANM_Cluster->Handle", b)
bbox1 = Vec3.create(b)
bbox2 = Vec3.create(b)
bounding_box = [bbox1, bbox2]
num_vertices = read_int_and_print("ANM_Cluster->num_vertices", b)
vertices = []
for _ in range(num_vertices):
v = Vec3Indexed.create(b)
vertices.append(v)
if offset:
b.seek(old)
return cls(custom=custom, obj=obj, handle=handle, bounding_box=bounding_box, num_vertices=num_vertices, vertices=vertices)
class NamDictionnary:
@staticmethod
def create(b, cls, depth=1, offset=None):
r = {}
old = b.tell()
if offset:
b.seek(offset)
read_int_and_print("NAM_Dictionnary->pMemGroup", b)
namemapper = read_int_and_print("NAM_Dictionnary->pNameMapper", b)
flags = read_int_and_print("NAM_Dictionnary->Flags", b)
print("Flags: NAM_FlagHasHandles: %s, NAM_FlagCaseInsensitive: %s" % (flags & NAM_FlagHasHandles, flags & NAM_FlagCaseInsensitive))
read_short_and_print("NAM_Dictionnary->NameHandle", b)
b.seek(namemapper)
read_int_and_print("pMemGroup", b)
read_int_and_print("MemBaseSize", b)
read_int_and_print("MemBlocks", b)
read_int_and_print("MemSize", b)
read_int_and_print("MemFree", b)
read_int_and_print("pMem", b)
read_int_and_print("MaxMappings", b)
totalmappings = read_int_and_print("TotalMappings", b)
read_int_and_print("TotalKeys", b)
p_key_contexts = read_int_and_print("pKeyContexts", b)
print("MAP_Image->ANM_Skin->NAM_Dictionnary->MAP_Mapper->MAP_KeyContext")
b.seek(p_key_contexts)
print("\tMAP_Image->ANM_Skin->NAM_Dictionnary->MAP_Mapper->MAP_KeyContext->MAP_BinSearchContext")
_ = read_int_and_print("\tSize", b)
read_int_and_print("\tpCallback", b)
read_int_and_print("\tIndex", b)
read_int_and_print("\tTest", b)
p_lut = read_int_and_print("pLUT", b)
read_int_and_print("Reserve", b)
read_int_and_print("pData", b)
for i in range(totalmappings):
b.seek(p_lut)
pindx = read_int(b)
for _ in range(i):
pindx = read_int(b)
print("LUT INDEX: %s" % pindx)
b.seek(pindx)
if not flags & NAM_FlagHasHandles:
read_short_and_print("pPtr", b)
read_short_and_print("pPtr2", b)
val = read_int_and_print("Value", b)
name = read_string_until_none_and_print("name", b)
if depth > 1:
item = NamDictionnary.create(b, cls, depth-1, val)
else:
item = cls.create(b, val)
r[name] = item
else:
refcnt = read_short_and_print("RefCnt", b)
handle = read_short_and_print("Handle", b)
read_int_and_print("Test", b)
read_int_and_print("Test", b)
bone_name = read_string_until_none_and_print("BoneName", b)
r[str(i)] = {"RefCnt": refcnt, "Handle": handle, "BoneName": bone_name}
if offset:
b.seek(old)
return r
NAM_FlagHasHandles = (1 << 0)
NAM_FlagCaseInsensitive = (1 << 1)
def read_int_and_print(n, b):
a = read_int(b)
print("%s=%s" % (n, a))
return a
def read_float_and_print(n, b):
a = read_float(b)
print("%s=%s" % (n, a))
return a
def read_byte_and_print(n, b):
a = read_byte(b)
print("%s=%s" % (n, a))
return a
def read_short_and_print(n, b):
a = read_short(b)
print("%s=%s" % (n, a))
return a
def read_string_until_none_and_print(n, b):
s = read_string_until_none(b)
print("%s=%s" % (n, s))
return s
def link(nodedict, defaultobjtree):
for obj_name, obj in defaultobjtree.items():
for cluster in obj.clusters:
cluster_handle = cluster.handle
k = str(cluster_handle-1)
cluster.bone_name = nodedict[k]["BoneName"]
class AnmSkin:
def __init__(self):
self.custom = 0
self.file_version = 0
self.image = 0
self.memgroup = 0
self.node_dictionary = 0
self.tree_dictionary = 0
self.default_obj_dictionnary = 0
self.total_number_trees = 0
self.total_number_objs = 0
self.total_number_clusters = 0
self.name = 0
@classmethod
def parse(cls, b):
_ = read_int_and_print("size", b)
memgroupoffset = read_int_and_print("memgroupoffset", b)
b.seek(memgroupoffset)
print("MAP_MemGroup")
print("\tMAP_Mem")
read_int_and_print("\tNode", b)
read_int_and_print("\tSize", b)
read_int_and_print("\tFlags", b)
read_int_and_print("pMemGroup", b)
read_int_and_print("MemList", b)
read_int_and_print("TotalSize", b)
read_int_and_print("TotalBlocks", b)
base = read_int_and_print("pBase", b)
b.seek(base)
print("=========")
print("ANM_Skin")
read_int_and_print("pCustom", b)
read_int_and_print("FileVersion", b)
read_int_and_print("pImage", b)
read_int_and_print("pMemGroup", b)
node = read_int_and_print("pNodeDictionary", b)
tree = read_int_and_print("pTreeDictionary", b)
defaultobj = read_int_and_print("pDefaultObjDictionary", b)
read_int_and_print("TotalNumberOfTrees", b)
read_int_and_print("TotalNumberOfObjs", b)
read_int_and_print("TotalNumberOfClusters", b)
read_string_until_none_and_print("Name", b)
print("=========")
nodedict = NamDictionnary.create(b, AnmObj, offset=node)
treedict = NamDictionnary.create(b, AnmObj, depth=2, offset=tree)
defaultobjdict = NamDictionnary.create(b, AnmObj, offset=defaultobj)
link(nodedict, defaultobjdict)
print("nodedict_len:%s" % len(nodedict))
print("treedict_len:%s" % len(treedict))
print(defaultobjdict)
print("defaultobjtreedict_len:%s" % len(defaultobjdict))
def read_skn(filepath):
with open(filepath, "rb") as fp:
r = AnmFile.parse(fp, AnmSkin)
print(r)
def main():
with open("/home/tasty/Projects/gck-map-extract-objects/anm_skn/mc_l0.skn", "rb") as fp:
AnmSkin.parse(fp)
with open("/home/tasty/Projects/gck-map-extract-objects/anm_skn/rp_l0.skn", "rb") as fp:
AnmSkin.parse(fp)
with open("/home/tasty/Projects/gck-map-extract-objects/anm_skn/kb_l0.skn", "rb") as fp:
AnmSkin.parse(fp)
f = ["/home/tasty/Projects/gck-map-extract-objects/anm_skn/mc_l0.skn",
"/home/tasty/Projects/gck-map-extract-objects/anm_skn/rp_l0.skn",
"/home/tasty/Projects/gck-map-extract-objects/anm_skn/kb_l0.skn"]
for p in f:
read_skn(p)
if __name__ == "__main__":