Tile.Level/TileManor/scripts/conv_lvs.py

# Desc: 将用到的关卡文件压缩成程序使用的protobuf格式
# Date: 2017-04-18
import os
import sys
import json
import levelData_pb2


def read_json(file_path):
    with open(file_path, 'r') as file:
        return json.load(file)
    
def write_json(data, file_path):
    with open(file_path, 'w+') as file:
        json.dump(data, file, indent=4)

# 将  ../conf/levelInstInfo.csv 里面的每一个实例的模板名加上“tf_”前缀
def add_prefix_to_inst_name():
    with open('../conf/levelInstInfo.csv', 'r') as f:
        hdr_done = False
        with open('../conf/levelInstInfo_new.csv', 'w+') as f_new:
            for line in f.readlines():
                if line.startswith('#'):
                    f_new.write(line)
                    continue
                if not hdr_done:
                    f_new.write(line)
                    hdr_done = True
                    continue
                line = line.split(',')
                if line[1].startswith('tf_'):
                    f_new.write(line)
                    continue
                line[1] = 'tf_' + line[1]
                f_new.write(','.join(line))

# 解析 ../conf/levelInstInfo.csv 文件，得到所有被用到的模板列表
def parse_level_inst_info():
    temp_list = set()
    with open('../conf/levelInstInfo.csv', 'r') as f:
        # 跳过第一行
        f.readline()
        for line in f.readlines():
            if line.startswith('#'):
                continue
            temp_list.add(line.split(',')[1])
    return temp_list

# 将某个tiled的json文件转换成protobuf格式
def conver_json_to_proto(tDir, tFileName, outDir):
    global lvFileInfo, lvInfo
    jsonFile = os.path.join(tDir, tFileName + '.json')

    with open(jsonFile, 'r') as f:#, encoding='utf-8'
        jsonData = json.load(f)

    levelData = levelData_pb2.LevelData()

    levelData.tileWidth = jsonData['width']
    levelData.tileHeight = jsonData['height']
    cntUndefined = 0
    tilesByPos = {}
    maxZ = 0
    maxX = 0
    maxY = 0
    #  首先得到stacked的坐标数据
    stacked_map = {}
    for item in jsonData['layers']:
        name = item['name']
        if name == 'Marks':
            data = item['data']
            for i in range(0, len(data)):
                if data[i] == 0:
                    continue
                x = (int)(i % levelData.tileWidth)
                y = (int)(i / (int)(levelData.tileWidth))
                stacked_map[(x, y)] = 0

    # 处理各层的tile数据
    cntTiles = 0
    for item in jsonData['layers']:
        name = item['name']
        if not name.startswith('Tile_'):
            # stacked
            continue
        z = int(name[5:])
        data = item['data']
        for i in range(0, len(data)):
            if data[i] == 0:
                continue
            tile = levelData.tiles.add()
            tile.x = (int)(i % levelData.tileWidth)
            tile.y = (int)(i / (int)(levelData.tileWidth))
            tile.z = z
            if (tile.x, tile.y) in stacked_map:
                stacked_map[(x, y)] += 1
            tiledata = tile.tileData
            tiledata.zv = 0
            tiledata.weight = 0
            tiledata.id = data[i]
            if tiledata.id == -10:
                cntUndefined += 1
            tiledata.type = 1
            tiledata.subtype = 0
            # 一些统计信息
            tilesByPos[(tile.x, tile.y, tile.z)] = tile
            if tile.z > maxZ:
                maxZ = tile.z
            if tile.x > maxX:
                maxX = tile.x
            if tile.y > maxY:
                maxY = tile.y
            cntTiles += 1
    if cntTiles%3 != 0:
        print('Error: tile count is not a multiple of 3: %d' % (cntTiles,))
        exit(1)
    # 根据上面的布局信息，计算每个tile的几个信息：
    # 1. 每个tile的视觉层级（不同于上面z的信息，那是一个布局信息，相同的z可能出在不同的视觉层级）
    # 从maxZ开始，逐层向下计算；对于每一个位置，如果该位置有tile，则计算该tile的视觉层级
    # 对于每一个tile，如果其上方（从该tile的z+1层，一直到maxZ层）有tile，则其视觉层级为上方tile的视觉层级+1
    for z in range(0, maxZ+1):
        z = maxZ - z
        for x in range(0, maxX+1):
            for y in range(0, maxY+1):
                if (x,y,z) in tilesByPos:
                    tile = tilesByPos[(x, y, z)]
                    adjs = [(x,y),(x,y+1),(x,y-1),(x+1,y),(x+1,y+1),(x+1,y-1),(x-1,y),(x-1,y-1),(x-1,y+1)]
                    # 确定视觉层级
                    zvMax = -1
                    for zup in range(z+1, maxZ+1):
                        for adj in adjs:
                            if (adj[0],adj[1],zup) in tilesByPos:
                                zv = tilesByPos[adj[0],adj[1],zup].tileData.zv
                                if zv > zvMax:
                                    zvMax = zv
                    tile.tileData.zv = zvMax + 1
    # 计算权重
    # 从最底下开始，逐层向上计算
    # 每个tile的初始权重为4，然后加上其下方压住的tile的权重：如果压了全部，则该加上被压住的tile权重；
    # 如果压住了一半，则加上被压住的tile权重的一半；如果是压住1/4，则加上被压住的tile权重的1/4
    for z in range(0, maxZ+1): 
        for x in range(0, maxX+1):
            for y in range(0, maxY+1):
                if (x,y,z) in tilesByPos:
                    tile = tilesByPos[(x,y,z)]
                    adjs = [(x,y,1.0),(x,y+1,0.5),(x,y-1,0.5),(x+1,y,0.5),(x+1,y+1,0.25),(x+1,y-1,0.25),(x-1,y,0.5),(x-1,y-1,0.25),(x-1,y+1,0.25)]
                    weight = 4
                    for adj in adjs:
                        # 从临近层往下，在某个位置找到了tile，则该tile被压住了，就不再找了
                        for zb in range(0, z):
                            zb = z-1-zb
                            if (adj[0], adj[1], zb) in tilesByPos:
                                tileB = tilesByPos[(adj[0], adj[1], zb)]
                                weight += tileB.tileData.weight * adj[2]
                                break
                    tile.tileData.weight = int(weight)
        pass

    for item in stacked_map:
        stack_data = levelData.stacks.add()
        stack_data.x = int(item[0])
        stack_data.y = int(item[1])
        stack_data.direction = 0    # 先默认都是0
    
    # 数据序列化
    level_protobuf_data = levelData.SerializeToString()
    protoFile = os.path.join(outDir, tFileName + '.bin')
    with open(protoFile, 'w+b') as f:
        f.write(level_protobuf_data)

def gen_index_and_data(binDir, group = None):
    lvelsIndex = levelData_pb2.LevelsIndex()
    if group is not None:
        protoDataTrunk = os.path.join(binDir, 'levels-' + str(group) + '.bin')
        protoDataIndex = os.path.join(binDir, 'levelsIndex-' + str(group) + '.bin')
    else:
        protoDataTrunk = os.path.join(binDir, 'levels' + '.bin')
        protoDataIndex = os.path.join(binDir, 'levelsIndex' + '.bin')

    offset = 0
    for filename in os.listdir(binDir):
        my_message = levelData_pb2.LevelData()
        binFile = os.path.splitext(filename)[0] + '.bin'
        binFile = os.path.join(binDir, binFile)
        if os.path.exists(binFile) :    
            # print(binFile)        
            with open(binFile, "rb") as f:
                binary_data = f.read()
                my_message.ParseFromString(binary_data)
            os.remove(binFile)
            with open(protoDataTrunk, 'ab') as f:
                f.write(binary_data)
            lvelsIndex.LevelsIndex[os.path.splitext(filename)[0]].len = len(binary_data)
            lvelsIndex.LevelsIndex[os.path.splitext(filename)[0]].offset = offset
            offset += len(binary_data)
        
    level_protobuf_index = lvelsIndex.SerializePartialToString()
    with open(protoDataIndex, 'w+b') as f:
        f.write(level_protobuf_index)

# 将所有的模板文件转换成protobuf格式
def convert_all_templates():
    # 清空loadable目录
    for root, dirs, files in os.walk('../loadable'):
        for name in files:
            os.remove(os.path.join(root, name))
    temp_list = parse_level_inst_info()
    dirs = ['../tf_templates', '../miniGame']
    for temp_name in temp_list:
        print(f"Converting template {temp_name}")
        # 判断正确的目录
        for d in dirs:
            if os.path.exists(os.path.join(d, temp_name + '.json')):
                conver_json_to_proto(d, temp_name, '../loadable')
                break
    gen_index_and_data('../loadable')


# 获取当前工作目录
current_dir = os.getcwd()
script_dir = os.path.dirname(os.path.abspath(__file__))
os.chdir(script_dir)

convert_all_templates()

# 恢复当前工作目录
os.chdir(current_dir)