fastdb4py 0.1.2

FastCarto database bindings

fastdb (v0.1.2 WIP)

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A C++ local database library with cross language bindings. Aiming to be a fast, lightweight, and easy-to-use data communication solution for RPC and coupled modeling in scientific computing.

Installation

You can install the Python package of fastdb via pip:

pip install fastdb4py

Note: The package will build from source during installation for your specific platform. Ensure you have the necessary build tools and dependencies (e.g., a C++ compiler, CMake) installed.

Development Environment

This project uses DevContainer for development environment. Please refer to the .devcontainer/devcontainer.example.json file for configuration details.

For setting up the development environment, ensure you have Docker / Podman and VSCode DevContainer extension installed. Open the project in VSCode and create the .devcontainer/devcontainer.json file based on the example provided.

After connecting to the DevContainer, you can develop and test the project within the containerized environment.

Python-Related Development

The py_utils.sh script is provided to facilitate common development tasks related to the Python bindings of fastdb. When first launching the DevContainer, py_utils.sh will automatically set up a Python virtual environment and install the necessary dependencies.

Cleaning Builds

# This operation will remove C++ build artifacts and the core Python bindings (fastdb.core, auto-generated by SWIG) within the Python package.
./py_utils.sh --clean

Building

# This operation will build the C++ core library and the Python bindings.
./py_utils.sh --build

Testing

# This operation will run the Python unit tests for the fastdb package.
./py_utils.sh --test