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Zedeldi committed Sep 24, 2024
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162 changes: 162 additions & 0 deletions .gitignore
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
.pybuilder/
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version

# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock

# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock

# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
.pdm.toml
.pdm-python
.pdm-build/

# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# pytype static type analyzer
.pytype/

# Cython debug symbols
cython_debug/

# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
36 changes: 36 additions & 0 deletions igelfs/__init__.py
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"""
Python interface for the IGEL filesystem.
For a standard IGEL OS disk image, the layout is similar to the below:
- Partition 1
- IGEL FS
- Partition 2
- FAT32, ESP #1
- Partition 3
- FAT32, ESP #2
IGEL FS has the following layout:
- Section #0
- Boot Registry
- Boot Registry Entries
- Directory
- Partition Descriptors
- Fragment Descriptors
- Section #1...
- Section Header
- Partition
- Partition Header
- Partition Payload
"""

from igelfs.filesystem import Filesystem, Section
from igelfs.models import BootRegistryHeader, Directory, PartitionHeader, SectionHeader

__all__ = [
"BootRegistryHeader",
"Directory",
"Filesystem",
"PartitionHeader",
"Section",
"SectionHeader",
]
98 changes: 98 additions & 0 deletions igelfs/base.py
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"""Abstract base classes for various data models."""

import io
from abc import ABC
from dataclasses import dataclass, fields
from typing import ClassVar, get_args, get_origin


@dataclass
class BaseDataModel(ABC):
"""Abstract base class for data model."""

MODEL_ATTRIBUTE_SIZES: ClassVar[dict[str, int]]

def __len__(self) -> int:
"""Implement __len__ data model method."""
return self.size

def to_bytes(self) -> bytes:
"""Return bytes of all data."""
with io.BytesIO() as fd:
for attribute, size in self.MODEL_ATTRIBUTE_SIZES.items():
data = getattr(self, attribute)
match data:
case bytes():
fd.write(data)
case int():
fd.write(data.to_bytes(size))
case str():
fd.write(data.encode())
case BaseDataModel() | DataModelCollection():
fd.write(data.to_bytes())
fd.seek(0)
return fd.read()

@property
def size(self) -> int:
"""Return actual size of all data."""
return len(self.to_bytes())

@classmethod
def get_model_size(cls) -> int:
"""Return expected total size of data for model."""
return sum(cls.MODEL_ATTRIBUTE_SIZES.values())

def verify(self) -> bool:
"""Verify data model integrity."""
return self.size == self.get_model_size()

@classmethod
def from_bytes_to_dict(cls, data: bytes) -> dict[str, bytes]:
"""Return dictionary from bytes."""
model = {}
with io.BytesIO(data) as fd:
for attribute, size in cls.MODEL_ATTRIBUTE_SIZES.items():
model[attribute] = fd.read(size)
return model

@classmethod
def from_bytes(cls, data: bytes) -> "BaseDataModel":
"""Return data model instance from bytes."""
model = cls.from_bytes_to_dict(data)
for field in fields(cls):
if get_origin(field.type) == DataModelCollection:
inner = get_args(field.type)[0]
model[field.name] = DataModelCollection(
inner.from_bytes(chunk)
for chunk in [
model[field.name][i : i + inner.get_model_size()]
for i in range(
0, len(model[field.name]), inner.get_model_size()
)
]
)
elif field.type == str:
model[field.name] = model[field.name].decode()
elif field.type == int:
model[field.name] = int.from_bytes(model[field.name])
else:
model[field.name] = field.type(model[field.name])
return cls(**model)


class DataModelCollection(list):
"""List subclass to provide additional helper methods."""

def to_bytes(self) -> bytes:
"""Return bytes of all models."""
with io.BytesIO() as fd:
for model in self:
fd.write(model.to_bytes())
fd.seek(0)
return fd.read()

@property
def size(self) -> int:
"""Return actual size of all data."""
return len(self.to_bytes())
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