SACToR: Structure-Aware C to Rust Translator

Bobchenyx Steps

Workspace Setup.

sudo apt update 
sudo apt install -y build-essential llvm clang libclang-dev cmake libssl-dev pkg-config valgrind tmux 

curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
rustup component add rustfmt-preview

Build dependencies(binaries).

git clone -b sactor https://github.com/qsdrqs/crown.git
cd crown
cargo build --release
cd ..

git clone https://github.com/immunant/c2rust.git
cd c2rust
cargo build --release
cd ..

Create & Activate venv.

pip install uv

(uv sync)
## update local path in scripts
source setup-path.sh
source .venv/bin/activate

Modification for sactor.toml. Get DeepSeek API Access from Your First API Call.

cp sactor.default.toml sactor.toml

## llm = "DeepSeek"

## api_key = "your-api-key"
## model = "deepseek-chat" # DeepSeek-V3-0324

Update local path in test_task.json.

Run Examples.

cd tests/c_examples/atoi/
sactor translate atoi.c ./test_task/test_task.json -r ./result_tmp --type bin 2>&1 | tee atoi-DeepSeekV3.log

Introduction

SACToR is a tool that translates C code to Rust code through Large Language Models (LLMs). It is designed to be used in the context of a larger project that aims to provide a safe and efficient way to write system software. The goal of SACToR is to provide a way to translate existing C code to Rust code, and gain the benefits of Rust's safety and performance guarantees.

Requirements

• Python 3.8 or later (tested on python 3.12)
• rustup
• uv (https://github.com/astral-sh/uv)
• C2Rust (https://github.com/immunant/c2rust, tested on version 0.20.0)
• Crown fork on sactor branch (https://github.com/qsdrqs/crown/tree/sactor)
• valgrind (for testing)

Installation

1. Install the required dependencies.

2. For the C2Rust and Crown dependencies, follow the instructions in their respective repositories to build and install them. Then add the c2rust and crown binaries to your PATH environment variable.

3. Run uv sync to add all the required python dependencies.

4. Activate the virtual environment by running source .venv/bin/activate in the root directory of the project.

5. (Optional) Run sh update_rust_ast_parser.sh to update the Rust AST parser. This is only needed if you modify the Rust code under rust_ast_parser.

Configuration

The default configuration is located in sactor.default.toml. To customize the configuration, create a sactor.toml file in the same directory to override the default settings. Alternatively, you can specify a custom configuration file path by using the -c or --config option with the sactor command.

Quick Start with Docker

Follow these steps to build and run Sactor in a Docker container:

1. Build the Docker image

   docker build -t sactor .

2. Prepare your C code and configuration

   • Create a working directory:

     mkdir -p /tmp/sactor_atoi

   • Copy the example sources:

     cp -r tests/c_examples/atoi /tmp/sactor_atoi

   • Update test_task.json paths:

     sed -i 's|.*/tests/c_examples/atoi|/tmp/sactor_atoi|g' \
       /tmp/sactor_atoi/test_task/test_task.json

3. Clean previous results

   rm -rf /tmp/sactor_atoi/result

4. Run the translation (Need to have sactor.toml in the current directory)

   Ensure you have a sactor.toml file in your current directory. If you don't have one, you can copy the default configuration file:

   cp sactor.default.toml sactor.toml
   # Configure the sactor.toml with your desired models and API keys.

   docker run --rm \
     -v "$PWD/sactor.toml":/app/sactor.toml \
     -v /tmp/sactor_atoi:/tmp/sactor_atoi \
     sactor translate \
       /tmp/sactor_atoi/atoi.c \
       /tmp/sactor_atoi/test_task/test_task.json \
       --result-dir /tmp/sactor_atoi/result \
       --type bin

5. Review the output

   Results are written to:

   /tmp/sactor_atoi/result

Usage

Several examples are provided in the c_example directory.

Run examples

After installing the required dependencies and configuring the environment with proper LLMs, you can run the examples provided in the tests/c_examples.

To run the examples, you can use the sactor command with the translate subcommand. Take atoi.c as an example:

cd tests/c_examples/atoi/
sactor translate atoi.c ./test_task/test_task.json -r ./result_tmp --type bin

Command Line Interface

Sactor provides a command line interface (CLI) for running the translation and testing processes. The main command is sactor, which has several subcommands:

• run-tests: Runs end-to-end tests on the translation process.
• generate-tests: Generates test commands based on the provided test samples.
• translate: Translates C code to Rust code using the specified translation method.

Example usage:

sactor translate /path/to/c /path/to/test_task.json -r /path/to/result/ --type bin

This command translates the C code located at /path/to/c using the test task specified in /path/to/test_task.json, and saves the result to /path/to/result/. The --type option specifies the type of the binary (e.g., bin, lib). The -r option specifies the path to save the translation result.

Sactor also implements a test generator that generates test commands based on the provided C code and test samples to provide more end-to-end testing capabilities. The test generator can be run using the generate-tests subcommand.

sactor generate-tests /path/to/c 10 --type bin --executable /path/to/executable

In this example, 10 is the number of test commands to generate. The --type option specifies the type of the binary (e.g., bin, lib), and --executable specifies the path to the executable of the C code that is required for generating the end-to-end tests.

Test Task in sactor translate

The test_task_path option in the configuration file specifies the path that contains the end-to-end test commands. It should be a json file with the following format:

[
    {
        "command": "command_to_run %t",
        "arbitrary_key": "arbitrary_value"
    },
    {
        "command": "command_to_run",
        "foo": "bar",
        "bar": ["foo", "bar"]
    },
    {
        "command": "command_to_run"
    },
    {
        "command": ["command_to_run", "%t"]
    }
    ...
]

Each item in the list is an end-to-end test command that will be run by Sactor. The only required key is command for each test command. The arbitrary_key is optional and can be arbitrary key-value pairs can be added to the test command.

%t is a placeholder that will be replaced with the path to the testing target executable.

Command is executed in the same working directory where the json file is located.

Test Samples in sactor generate-tests

The test_samples_path option in the configuration file specifies the path that contains the test samples to be used for generating test commands. It should be a json file with the following format:

[
    {
        "input": "a b \n c d",
        "output": "c d \n a b"
    }
    ...
]

Each item in the list is a test sample that will be used to generate test commands. "input" is the input to the test command, and "output" is the expected output of the test command. Only "input" is required for each test sample. "output" is optional and will not be used for generating tests.