命名二进制标记读取器/写入器
NBT的Python项目详细描述
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描述：这是一个基于markus persson规范的命名二进制标记解析器。
- From The spec:
- “NBT (Named Binary Tag) is a tag based binary format designed to carry large
- amounts of binary data with smaller amounts of additional data. An NBT file consists of a single GZIPped Named Tag of type TAG_Compound.”
read the full spec at http://www.minecraft.net/docs/NBT.txt
- Usage:
- Reading files.
The easiest way to read an nbt file is to instantiate an NBTFile object e.g.
>>> import nbt >>> nbtfile = nbt.NBTFile("bigtest.nbt",'rb') >>> nbtfile.name u'Level' >>> nbtfile["nested compound test"].tag_info() TAG_Compound("nested compound test"): 2 Entries >>> for tag in nbtfile["nested compound test"]["ham"].tags: ... print(tag.tag_info()) ... TAG_String("name"): Hampus TAG_Float("value"): 0.75 >>> [tag.value for tag in nbtfile["listTest (long)"].value] [11, 12, 13, 14, 15]文件也可以从fileobj（包含压缩的 或缓冲区（包含NBT的未压缩流的类似文件的对象 标签）可通过以下方式完成：
>>> import nbt >>> nbtfile = NBTFile(fileobj=previously_opened_file) # or.... >>> nbtfile = NBTFile(buffer=net_socket.makefile())
- 正在写入文件。
写文件也很容易！如果你有一个nbtfile对象，只要调用它 write_file（）方法。如果nbtfile是用文件名实例化的，那么 写入文件不需要额外的参数。它只是起作用。如果您创建了一个新的 文件对象从头开始（或者即使您只是想将其保存到其他地方） 调用write_file（'pathtonewfile.nbt'）
>>> import nbt >>> nbtfile = nbt.NBTFile("bigtest.nbt",'rb') >>> nbtfile["listTest (compound)"].tags[0]["name"].value = "Different name" >>> nbtfile.write_file("newnbtfile.nbt")也可以使用相同的关键字参数写入缓冲区或fileobj。
>>> nbtfile.write_file(fileobj = my_file) #compressed >>> nbtfile.write_file(buffer = sock.makefile()) #uncompressed
- 创建文件
创建文件比较麻烦，但最终应该不会给您带来任何问题，只要 你已经阅读了NBT规范（提示..很短）。还要注意 nbtfile对象实际上是一个带有一些包装特性的tag_复合物，因此 您可以使用所有标准标记功能
>>> from nbt import * >>> nbtfile = NBTFile()首先，不要忘记命名顶级标记
>>> nbtfile.name = "My Top Level Tag" >>> nbtfile.tags.append(TAG_Float(name="My Float Name", value=3.152987593947)) >>> mylist = TAG_List(name="TestList", type=TAG_Long) #type needs to be pre-declared! >>> mylist.tags.append(TAG_Long(100)) >>> mylist.tags.extend([TAG_Long(120),TAG_Long(320),TAG_Long(19)]) >>> nbtfile.tags.append(mylist) >>> print(nbtfile.pretty_tree()) TAG_Compound("My Top Level Tag"): 2 Entries { TAG_Float("My Float Name"): 3.15298759395 TAG_List("TestList"): 4 entries of type TAG_Long { TAG_Long: 100 TAG_Long: 120 TAG_Long: 320 TAG_Long: 19 } } >>> nbtfile["TestList"].tags.sort(key = lambda tag: tag.value) >>> print(nbtfile.pretty_tree()) TAG_Compound("My Top Level Tag"): 2 Entries { TAG_Float("My FloatName"): 3.15298759395 TAG_List("TestList"): 4 entries of type TAG_Long { TAG_Long: 19 TAG_Long: 100 TAG_Long: 120 TAG_Long: 320 } } >>> nbtfile.write_file("mynbt.dat")
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