symbolic 6.0.0

A library to symbolicate and process stack traces from native applications, minidumps, Unreal Engine 4, minified JavaScripts or ProGuard optimized Android apps.
# Symbolic

<a href="https://travis-ci.org/getsentry/symbolic"><img src="https://travis-ci.org/getsentry/symbolic.svg?branch=master" alt=""></a>
<a href="https://crates.io/crates/symbolic"><img src="https://img.shields.io/crates/v/symbolic.svg" alt=""></a>
<a href="https://pypi.python.org/pypi/Symbolic"><img src="https://img.shields.io/pypi/v/symbolic.svg" alt=""></a>
<a href="https://github.com/getsentry/symbolic/blob/master/LICENSE"><img src="https://img.shields.io/pypi/l/Symbolic.svg" alt=""></a>

[Symbolic](https://docs.rs/symbolic) is a library written in Rust which is used at
[Sentry](https://sentry.io/) to implement symbolication of native stack traces, sourcemap handling
for minified JavaScript and more. It consists of multiple largely independent crates which are
bundled together into a C and Python library so it can be used independently of Rust.

## What's in the package

Currently it provides the following functionality:

- Symbolication based on custom cache files (symcache)
- Symbol cache file generators from:
  - Mach and ELF symbol tables
  - Mach and ELF embedded DWARF data
  - Breakpad Symbol files
- Demangling support
  - C++
  - Objective C / Objective C++
  - Rust
  - Swift
- JavaScript sourcemap expansion
  - Basic token mapping
  - Heuristics to find original function names based on minified sources
  - Indexed sourcemap to sourcemap merging
- Proguard function mappings
- Minidump / Breakpad processing
  - Generate Breakpad symbol files from Mach and ELF
  - Process Minidumps to resolve process state
- Convenient C and Python library
- Processing of Unreal Engine 4 native crash reports
  - Extract and process minidumps
  - Expose logs and UE4 context information

Symbolic comes as a python

## Rust Usage

Add `symbolic` as a dependency to your `Cargo.toml`. You will most likely want to activate some of
the features:

- **`debuginfo`** (default): Contains support for various object file formats and debugging
  information. Currently, this comprises MachO and ELF (with DWARF debugging), PE and PDB, as well
  as Breakpad symbols.
- **`demangle`**: Demangling for Rust, C++, Swift and Objective C symbols. This feature requires a
  C++11 compiler on the PATH.
- **`minidump`**: Rust bindings for the Breakpad Minidump processor. Additionally, this includes
  facilities to extract stack unwinding information (sometimes called CFI) from object files. This
  feature requires a C++11 compiler on the PATH.
- **`proguard`**: Processing of Proguard mapping files to look up mangled Java function paths.
- **`sourcemap`**: Processing and expansion of JavaScript source maps, as well as lookups for
  minified function names.
- **`symcache`**: An optimized, platform-independent storage for common debugging information. This
  allows blazing fast symbolication of instruction addresses to function names and file locations.
- **`serde`**: Adds implementations for `serde::{Deserialize, Serialize}` on most types.
- **`unreal`**: Processing of Unreal Engine 4 crash reports.

## Python Usage

Symbolic is hosted on [PyPI](https://pypi.python.org/pypi/symbolic). It comes as a library with
prebuilt wheels for linux and macOS. On other operating systems or when using as rust library, you
need to build symbolic manually. It should be compatible with both Python 2 and Python 3.

The python library ships all of the above features in a flat module:

```python
from symbolic import Archive

fat = Archive.open('/path/to/object')
obj = fat.get_object(arch = 'x86_64')
print 'object debug id: {}' % obj.debug_id
```

## C Bindings

Symbolic also offers C bindings, which allow for FFI into arbitrary languages. Have a look at the
the [Symbolic C-ABI readme](cabi/README.md) for more information.

## Source Crates

A lot of functionality exposed by this library come from independent Rust crates
for better use:

- [sourcemap]https://github.com/getsentry/rust-sourcemap
- [proguard]https://github.com/getsentry/rust-proguard
- [gimli]https://github.com/gimli-rs/gimli
- [goblin]https://github.com/m4b/goblin
- [pdb]https://github.com/willglynn/pdb

Additionally we use the following C++ libraries to fill in gaps:

- [breakpad]https://chromium.googlesource.com/breakpad/breakpad/

## Building and Development

To build the Rust crate, we require the **latest stable Rust**, as well as a C++11 compiler. The
crate is split into a workspace with multiple features, so when running building or running tests
always make sure to pass the `--all` and `--all-features` flags.

```bash
# Check whether the crate compiles
cargo check --all --all-features

# Run Rust tests
cargo test --all --all-features
```

We use `rustfmt` and `clippy` from the latest stable channel for code formatting and linting. To
make sure that these tools are set up correctly and running with the right configuration, use the
following make targets:

```bash
# Format the entire codebase
make format

# Run clippy on the entire codebase
make lint
```

Most likely, new functionality also needs to be added to the Python package. This first requires to
expose new functions in the C ABI. For this, refer to the [Symbolic C-ABI readme](cabi/README.md).

We highly recommend to develop and test the python package in a **virtual environment**. Once the
ABI has been updated and tested, ensure the virtualenv is active and install the package, which
builds the native library. There are two ways to install this:

```bash
# Install the release build, recommended:
pip install --editable ./py

# Install the debug build, faster installation but much slower runtime:
SYMBOLIC_DEBUG=1 pip install --editable ./py
```

For testing, we use ubiquitous `pytest`. Again, ensure that your virtualenv is active and the latest
version of the native library has been installed. Then, run:

```bash
# Run tests manually
pytest ./py/tests

# Creates a new virtualenv, installs the release build and runs tests:
make pytest
```

## License

Symbolic is licensed under the MIT license. It uses some Apache2 licensed code
from Apple for the Swift demangling.