GPT (GUID) partition table: Python parsing library

This page hosts a formal specification of GPT (GUID) partition table using Kaitai Struct. This specification can be automatically translated into a variety of programming languages to get a parsing library.

Usage

Runtime library

All parsing code for Python generated by Kaitai Struct depends on the Python runtime library. You have to install it before you can parse data.

The Python runtime library can be installed from PyPI:

python3 -m pip install kaitaistruct

Code

Parse a local file and get structure in memory:

data = GptPartitionTable.from_file("path/to/local/file.bin")

Or parse structure from a bytes:

from kaitaistruct import KaitaiStream, BytesIO

raw = b"\x00\x01\x02..."
data = GptPartitionTable(KaitaiStream(BytesIO(raw)))

After that, one can get various attributes from the structure by invoking getter methods like:

data.sector_size # => get sector size

Python source code to parse GPT (GUID) partition table

gpt_partition_table.py

# This is a generated file! Please edit source .ksy file and use kaitai-struct-compiler to rebuild
# type: ignore

import kaitaistruct
from kaitaistruct import KaitaiStruct, KaitaiStream, BytesIO


if getattr(kaitaistruct, 'API_VERSION', (0, 9)) < (0, 11):
    raise Exception("Incompatible Kaitai Struct Python API: 0.11 or later is required, but you have %s" % (kaitaistruct.__version__))

class GptPartitionTable(KaitaiStruct):
    """
    .. seealso::
       Source - https://en.wikipedia.org/wiki/GUID_Partition_Table
    """
    def __init__(self, _io, _parent=None, _root=None):
        super(GptPartitionTable, self).__init__(_io)
        self._parent = _parent
        self._root = _root or self
        self._read()

    def _read(self):
        pass


    def _fetch_instances(self):
        pass
        _ = self.backup
        if hasattr(self, '_m_backup'):
            pass
            self._m_backup._fetch_instances()

        _ = self.primary
        if hasattr(self, '_m_primary'):
            pass
            self._m_primary._fetch_instances()


    class PartitionEntry(KaitaiStruct):
        def __init__(self, _io, _parent=None, _root=None):
            super(GptPartitionTable.PartitionEntry, self).__init__(_io)
            self._parent = _parent
            self._root = _root
            self._read()

        def _read(self):
            self.type_guid = self._io.read_bytes(16)
            self.guid = self._io.read_bytes(16)
            self.first_lba = self._io.read_u8le()
            self.last_lba = self._io.read_u8le()
            self.attributes = self._io.read_u8le()
            self.name = (self._io.read_bytes(72)).decode(u"UTF-16LE")


        def _fetch_instances(self):
            pass


    class PartitionHeader(KaitaiStruct):
        def __init__(self, _io, _parent=None, _root=None):
            super(GptPartitionTable.PartitionHeader, self).__init__(_io)
            self._parent = _parent
            self._root = _root
            self._read()

        def _read(self):
            self.signature = self._io.read_bytes(8)
            if not self.signature == b"\x45\x46\x49\x20\x50\x41\x52\x54":
                raise kaitaistruct.ValidationNotEqualError(b"\x45\x46\x49\x20\x50\x41\x52\x54", self.signature, self._io, u"/types/partition_header/seq/0")
            self.revision = self._io.read_u4le()
            self.header_size = self._io.read_u4le()
            self.crc32_header = self._io.read_u4le()
            self.reserved = self._io.read_u4le()
            self.current_lba = self._io.read_u8le()
            self.backup_lba = self._io.read_u8le()
            self.first_usable_lba = self._io.read_u8le()
            self.last_usable_lba = self._io.read_u8le()
            self.disk_guid = self._io.read_bytes(16)
            self.entries_start = self._io.read_u8le()
            self.entries_count = self._io.read_u4le()
            self.entries_size = self._io.read_u4le()
            self.crc32_array = self._io.read_u4le()


        def _fetch_instances(self):
            pass
            _ = self.entries
            if hasattr(self, '_m_entries'):
                pass
                for i in range(len(self._m_entries)):
                    pass
                    self._m_entries[i]._fetch_instances()



        @property
        def entries(self):
            if hasattr(self, '_m_entries'):
                return self._m_entries

            io = self._root._io
            _pos = io.pos()
            io.seek(self.entries_start * self._root.sector_size)
            self._raw__m_entries = []
            self._m_entries = []
            for i in range(self.entries_count):
                self._raw__m_entries.append(io.read_bytes(self.entries_size))
                _io__raw__m_entries = KaitaiStream(BytesIO(self._raw__m_entries[i]))
                self._m_entries.append(GptPartitionTable.PartitionEntry(_io__raw__m_entries, self, self._root))

            io.seek(_pos)
            return getattr(self, '_m_entries', None)


    @property
    def backup(self):
        if hasattr(self, '_m_backup'):
            return self._m_backup

        io = self._root._io
        _pos = io.pos()
        io.seek(self._io.size() - self._root.sector_size)
        self._m_backup = GptPartitionTable.PartitionHeader(io, self, self._root)
        io.seek(_pos)
        return getattr(self, '_m_backup', None)

    @property
    def primary(self):
        if hasattr(self, '_m_primary'):
            return self._m_primary

        io = self._root._io
        _pos = io.pos()
        io.seek(self._root.sector_size)
        self._m_primary = GptPartitionTable.PartitionHeader(io, self, self._root)
        io.seek(_pos)
        return getattr(self, '_m_primary', None)

    @property
    def sector_size(self):
        if hasattr(self, '_m_sector_size'):
            return self._m_sector_size

        self._m_sector_size = 512
        return getattr(self, '_m_sector_size', None)