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149 lines
7.0 KiB
149 lines
7.0 KiB
2 years ago
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# • ▌ ▄ ·. ▄▄▄▄· ▄▄▄ .·▄▄▄▄ ▪ ▄▄▄▄▄ ▄▄▄ ▄▄▄·▄▄▄
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# ·██ ▐███▪▐█ ▀█▪ ▀▄.▀·██▪ ██ ██ •██ ▪ ▀▄ █· ▐█ ▄█▀▄ █·▪
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# ▐█ ▌▐▌▐█·▐█▀▀█▄ ▐▀▀▪▄▐█· ▐█▌▐█· ▐█.▪ ▄█▀▄ ▐▀▀▄ ██▀·▐▀▀▄ ▄█▀▄
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# ██ ██▌▐█▌██▄▪▐█ ▐█▄▄▌██. ██ ▐█▌ ▐█▌·▐█▌.▐▌▐█•█▌ ▐█▪·•▐█•█▌▐█▌.▐▌
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# ▀▀ █▪▀▀▀·▀▀▀▀ ▀▀▀ ▀▀▀▀▀• ▀▀▀ ▀▀▀ ▀█▄▀▪.▀ ▀ .▀ .▀ ▀ ▀█▄▀▪
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# Magicbane Emulator Project © 2013 - 2022
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# www.magicbane.com
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2 years ago
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from collections import OrderedDict
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from arcane.enums.arc_object import *
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from arcane.enums.hashes import hash_to_string, string_to_hash
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from arcane.util import ResStream
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from .common.SparseData import SparseData
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class SoundEvent:
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def load_binary(self, stream: ResStream):
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self.sound_type = stream.read_dword()
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self.sound_event = stream.read_qword()
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def save_binary(self, stream: ResStream):
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stream.write_dword(self.sound_type)
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stream.write_qword(self.sound_event)
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def load_json(self, data):
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self.sound_type = STRING_TO_SOUND_TYPE[data['sound_type']]
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self.sound_event = data['sound_event']
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def save_json(self):
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data = OrderedDict()
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data['sound_type'] = SOUND_TYPE_TO_STRING[self.sound_type]
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data['sound_event'] = self.sound_event
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return data
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class ArcObj:
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def load_binary(self, stream: ResStream):
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self.obj_name = stream.read_string()
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self.obj_pickable = stream.read_bool()
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self.obj_gravity = stream.read_float()
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self.obj_cull_distance = stream.read_float()
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self.obj_scale = stream.read_tuple()
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self.obj_render_object = stream.read_qword()
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self.obj_double_fusion = stream.read_bool()
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self.obj_forward_vector = stream.read_tuple()
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self.obj_tracking_name = stream.read_string()
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self.obj_max_tracking_distance = stream.read_float()
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self.obj_icon = stream.read_qword()
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self.obj_gravity_f = stream.read_float()
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num_sound_events = stream.read_dword()
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self.obj_sound_events = [SoundEvent() for _ in range(num_sound_events)]
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for sound_event in self.obj_sound_events:
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sound_event.load_binary(stream)
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num_hard_points = stream.read_dword()
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self.obj_arc_hardpoint_list = [
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[
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stream.read_dword(),
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stream.read_dword(),
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[stream.read_float() for _ in range(10)]
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] for _ in range(num_hard_points)
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]
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self.obj_sparse_data = SparseData()
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self.obj_sparse_data.load_binary(stream)
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self.obj_render_object_low_detail = stream.read_qword()
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self.obj_default_alignment = stream.read_tuple()
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self.obj_sound_table = stream.read_dword()
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def save_binary(self, stream: ResStream):
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stream.write_string(self.obj_name)
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stream.write_bool(self.obj_pickable)
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stream.write_float(self.obj_gravity)
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stream.write_float(self.obj_cull_distance)
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stream.write_tuple(self.obj_scale)
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stream.write_qword(self.obj_render_object)
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stream.write_bool(self.obj_double_fusion)
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stream.write_tuple(self.obj_forward_vector)
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stream.write_string(self.obj_tracking_name)
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stream.write_float(self.obj_max_tracking_distance)
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stream.write_qword(self.obj_icon)
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stream.write_float(self.obj_gravity_f)
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stream.write_dword(len(self.obj_sound_events))
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for sound_event in self.obj_sound_events:
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sound_event.save_binary(stream)
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stream.write_dword(len(self.obj_arc_hardpoint_list))
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for n, m, points in self.obj_arc_hardpoint_list:
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stream.write_dword(n)
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stream.write_dword(m)
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for i in range(10):
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stream.write_float(points[i])
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self.obj_sparse_data.save_binary(stream)
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stream.write_qword(self.obj_render_object_low_detail)
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stream.write_tuple(self.obj_default_alignment)
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stream.write_dword(self.obj_sound_table)
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def load_json(self, data):
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self.obj_name = data['obj_name']
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self.obj_pickable = data['obj_pickable']
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self.obj_gravity = data['obj_gravity']
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self.obj_cull_distance = data['obj_cull_distance']
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self.obj_scale = data['obj_scale']
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self.obj_render_object = data['obj_render_object']
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self.obj_double_fusion = data['obj_double_fusion']
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self.obj_forward_vector = data['obj_forward_vector']
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self.obj_tracking_name = data['obj_tracking_name']
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self.obj_max_tracking_distance = data['obj_max_tracking_distance']
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self.obj_icon = data['obj_icon']
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self.obj_gravity_f = data['obj_gravity_f']
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self.obj_sound_events = []
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for sound_data in data['obj_sound_events']:
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sound_event = SoundEvent()
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sound_event.load_json(sound_data)
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self.obj_sound_events.append(sound_event)
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self.obj_arc_hardpoint_list = []
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for point_list in data['obj_arc_hardpoint_list']:
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self.obj_arc_hardpoint_list.append(point_list)
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self.obj_sparse_data = SparseData()
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self.obj_sparse_data.load_json(data['obj_sparse_data'])
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self.obj_render_object_low_detail = data['obj_render_object_low_detail']
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self.obj_default_alignment = data['obj_default_alignment']
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self.obj_sound_table = string_to_hash(data['obj_sound_table'])
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return data
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def save_json(self):
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data = OrderedDict()
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data['obj_name'] = self.obj_name
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data['obj_pickable'] = self.obj_pickable
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data['obj_gravity'] = self.obj_gravity
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data['obj_cull_distance'] = self.obj_cull_distance
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data['obj_scale'] = self.obj_scale
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data['obj_render_object'] = self.obj_render_object
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data['obj_double_fusion'] = self.obj_double_fusion
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data['obj_forward_vector'] = self.obj_forward_vector
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data['obj_tracking_name'] = self.obj_tracking_name
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data['obj_max_tracking_distance'] = self.obj_max_tracking_distance
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data['obj_icon'] = self.obj_icon
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data['obj_gravity_f'] = self.obj_gravity_f
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data['obj_sound_events'] = []
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for sound_event in self.obj_sound_events:
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data['obj_sound_events'].append(sound_event.save_json())
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data['obj_arc_hardpoint_list'] = []
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for point_list in self.obj_arc_hardpoint_list:
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data['obj_arc_hardpoint_list'].append(point_list)
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data['obj_sparse_data'] = self.obj_sparse_data.save_json()
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data['obj_render_object_low_detail'] = self.obj_render_object_low_detail
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data['obj_default_alignment'] = self.obj_default_alignment
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data['obj_sound_table'] = hash_to_string(self.obj_sound_table)
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return data
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