Traceback Serializer Project (offline-debug)
Overview
A Python package for high-fidelity serialization and deserialization of exceptions and their complete tracebacks. Unlike other
solutions, offline-debug reconstructs actual types.FrameType objects using the Python C API, ensuring that re-raised
exceptions look and feel genuine to debuggers and introspection tools.
Core Functions
save_traceback(exc: BaseException, file: Path | BytesIO): Serializes an exception, its traceback, and all picklable local/global variables to a binary file or buffer.load_traceback(file: Path | BytesIO) -> Never: Loads the serialized state, reconstructs the exception and its full traceback chain (including__cause__and__context__), and raises it.parse_traceback(file: Path | BytesIO) -> ExceptionData: Loads the serialized data and returns anExceptionDataobject. This allows for inspecting the exception, stack frames, and variables without reconstructing the full traceback or raising the exception.
Usage Example
To get started, install with:
pip install offline-debug or uv add offline-debug
from pathlib import Path
from offline_debug import save_traceback, load_traceback, parse_traceback
# --- Saving an exception ---
try:
some_complex_operation()
except Exception as e:
save_traceback(e, Path("crash_report.dump"))
# --- Option 1: Re-raise the exception for debugging ---
# This will look like the original crash in your debugger
load_traceback(Path("crash_report.dump"))
# --- Option 2: Inspect data without raising ---
data = parse_traceback(Path("crash_report.dump"))
print(f"Number of frames: {len(data.tb_frames)}")
for frame in data.tb_frames:
print(f"File: {frame.code.co_filename}, Line: {frame.lineno}")
Exception Group Support
offline-debug has full support for ExceptionGroup (Python 3.11+). When you parse a saved ExceptionGroup, you can access its nested exceptions:
from offline_debug import parse_traceback, ExceptionGroupData
data = parse_traceback(Path("exception_group.dump"))
if isinstance(data, ExceptionGroupData):
print(f"Group contains {len(data.exceptions)} sub-exceptions")
for sub_exc_data in data.exceptions:
# Each sub_exc_data is itself an ExceptionData object
print(f"Sub-exception frames: {len(sub_exc_data.tb_frames)}")
Technical Implementation
- True Frame Reconstruction: Uses
ctypesto callPyFrame_Newfrom the Python C API. This creates realframeobjects which are required for a validtypes.TracebackType. - Python 3.13 Compatibility: Leverages PEP 667 features where
f_localsis a write-through proxy, allowing for accurate local variable restoration. - Support python 3.12 as well
- Resilient Serialization:
pickleis used for exceptions and variables.marshalis used for code objects.- Non-picklable items are gracefully handled by storing their
repr.
Development & Tooling
- Package Manager:
uv - Minimum Python: 3.12
- Testing:
pytest - Commands:
- Add dependencies:
uv add <package> - Run tests:
uv run pytest
- Add dependencies:
Metadata
Release files for offline-debug 0.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| offline_debug-0.3.2.tar.gz | 11.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| offline_debug-0.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.4 kB
Release files / offline_debug-0.3.2.tar.gz
| Download URL | offline_debug-0.3.2.tar.gz |
|---|---|
| Size | 11.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / offline_debug-0.3.2-py3-none-any.whl
| Download URL | offline_debug-0.3.2-py3-none-any.whl |
|---|---|
| Size | 14.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8f10dd7ce8e2b12988c5b10f0d7d8fed49b09267b036cbaa484fa805b3e58a12
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 3, 2026.
Transparency log