def load_charname(self, book=None) -> None:
"""
Read our character name; this is a bit dependant on the book number,
which is why we pass it in here. If the book number is not passed
in, we will scan for map files and then use the first map's book
number. If there are no maps in the slot, then we'll raise a
LoadException
"""
# First figure out which book number we are, if we don't have it yet
if not book:
if not self.maps_loaded:
self.load_maps()
if len(self.maps) > 0:
book = self.maps[0].book
else:
raise LoadException(
'Could not auto-detect which book version to use for charname')
# Now do the actual loading
if not os.path.exists(self.char_loc):
raise LoadException(f'"char" file not found in {self.char_loc}')
df = Savefile(self.char_loc)
df.open_r()
if book == 1:
df.readint()
else:
df.readuchar()
self.charname = df.readstr().decode('UTF-8')
self.char_loaded = True
df.close()
def load_charname(self, book=None):
"""
Read our character name; this is a bit dependant on the book number,
which is why we pass it in here. If the book number is not passed
in, we will scan for map files and then use the first map's book
number. If there are no maps in the slot, then we'll raise a
LoadException
"""
# First figure out which book number we are, if we don't have it yet
if not book:
if not self.maps_loaded:
self.load_maps()
if len(self.maps) > 0:
book = self.maps[0].book
else:
raise LoadException(
'Could not auto-detect which book version to use for charname'
)
# Now do the actual loading
if not os.path.exists(self.char_loc):
raise LoadException('"char" file not found in %s' % (directory))
df = Savefile(self.char_loc)
df.open_r()
if book == 1:
df.readint()
else:
df.readuchar()
self.charname = df.readstr()
self.char_loaded = True
df.close()
self.unknowni1) = unpack('<IIII', data[:16])
self.filename = data[16:]
self.filename = self.filename[:self.filename.index("\x00")]
df = Savefile(sys.argv[1])
df.open_r()
header = df.read(4)
if (header != '!PAK'):
df.close()
raise LoadException('Invalid PAK header')
# Initial Values
unknownh1 = df.readshort()
unknownh2 = df.readshort()
numfiles = df.readint()
compressed_idx_size = df.readint()
unknowni1 = df.readint()
# Now load in the index
decobj = zlib.decompressobj()
indexdata = decobj.decompress(df.read())
zeroindex = df.tell() - len(decobj.unused_data)
decobj = None
fileindex = {}
for i in range(numfiles):
index = PakIndex(indexdata[:272])
indexdata = indexdata[272:]
fileindex[index.filename] = index
for filename in fileindex.keys():
