Skip to content

Latest commit

 

History

History
126 lines (95 loc) · 3.76 KB

readme.md

File metadata and controls

126 lines (95 loc) · 3.76 KB

PyNBT

PyNBT is a tiny, liberally licenced (MIT) NBT library. It supports reading and writing compressed, uncompressed, big endian or little endian NBT files.

Using the Library

Using the library in your own programs is simple and is capable of reading, modifying, and saving NBT files.

Writing

NOTE: Beginning with version 1.1.0, names are optional for TAG_*'s that are added to a TAG_Compound, as they will be given the same name as their key. If you do specify a name, it will be used instead. This breaks compatibility with old code, as the position of the name and value parameter have now swapped.

from pynbt import NBTFile, TAG_Long, TAG_List, TAG_String

value = {
    'long_test': TAG_Long(104005),
    'list_test': TAG_List(TAG_String, [
        'Timmy',
        'Billy',
        'Sally'
    ])
}

nbt = NBTFile(value=value)
with open('out.nbt', 'wb') as io:
  nbt.save(io, compression=NBTFile.Compression.GZIP)

Reading

Reading is simple, and will accept any file-like object providing read(). Simply pretty-printing the file created from the example under writing:

from pynbt import NBTFile

with open('out.nbt') as io:
  nbt = NBTFile(io, compression=NBTFile.Compression.GZIP)
  print(nbt.pretty())

This produces the output:

TAG_Compound(''): 2 entries
{
  TAG_Long('long_test'): 104005
  TAG_List('list_test'): 3 entries
  {
    TAG_String(None): 'Timmy'
    TAG_String(None): 'Billy'
    TAG_String(None): 'Sally'
  }
}

Every tag exposes a minimum of two fields, .name and .value. Every tag's value maps to a plain Python type, such as a dict() for TAG_Compound and a list() for TAG_List. Every tag also provides complete __repr__ methods for printing. This makes traversal very simple and familiar to existing Python developers.

with open('out.nbt') as io:
  nbt = NBTFile(io)
  # Iterate over every TAG in the root compound as you would any other dict
  for name, tag in nbt.items():
      print name, tag

  # Print every tag in a list
  for tag in nbt['list_test']:
      print tag

Changelog

These changelogs are summaries only and not comprehensive. See the commit history between tags for full changes.

v1.4.0

  • Removed pocket detection helpers and RegionFile, leaving PyNBT to only handle NBT.
  • Added a simple unicode test.

v1.3.0

  • Internal cleanups in nbt.py to ease some C work.
  • NBTFile.__init__() and NBTFile.save()'s arguments have changed. For most cases changing compressed=True to NBTFIle.Compression.GZIP will suffice.
  • NBTFile.__init__() and NBTFile.save() no longer accept paths, instead accepting only file-like objects implementing read() and write(), respectively.
  • name must now be provided at construction or before saving of an NBTFile() (defaults to None instead of '').

v1.2.

  • TAG_List's values no longer need to be TAG_* objects. They will be converted when the tag is saved. This allows much easier lists of native types.

v1.2.0

  • Internal code cleanup. Breaks compatibility with pocket loading and saving (to be reimplemented as helpers).
  • Slight speed improvements.
  • TAG_List can now be treated as a plain python list (.value points to self)

v1.1.0

  • Breaks compatibility with older code, but allows much more convienient creation of TAG_Compound. name and value have in most cases swapped spots.
  • name is now the last argument of every TAG_*, and optional for children of a TAG_Compound. Instead, they'll be given the key they're assigned to as a name.
  • TAG_Compounds can now be treated like dictionaries for convienience. .value simply maps to itself.

v1.0.1

  • Small bugfixes.
  • Adds support for TAG_Int_Array.

v1.0.0

  • First release.