Python bindings for Wren Engine semantic layer (wren-core)
Project description
Wren Core Python Binding
Python bindings for wren-core, the Rust semantic engine behind Wren Engine. Built with PyO3 and Maturin.
Wren Engine translates SQL queries through a semantic layer (MDL - Modeling Definition Language) and executes them against 22+ data sources (PostgreSQL, BigQuery, Snowflake, etc.).
Installation
pip install wren-core-py
Requires Python >= 3.11.
Pre-built wheels are available for:
- Linux x86_64
- macOS x86_64 / ARM64 (Apple Silicon)
- Windows x86_64
Linux ARM64 wheels are not yet available. To use on that platform, build from source (requires Rust toolchain).
Quick Start
from wren_core import SessionContext, to_manifest
# Load an MDL manifest from a base64-encoded JSON string
base64_mdl_json = "<your-base64-encoded-mdl-json>"
manifest = to_manifest(base64_mdl_json)
# Create a session context for query planning
ctx = SessionContext(manifest, remote_functions=[])
# Transform a SQL query through the semantic layer
planned_sql = ctx.transform_sql("SELECT * FROM my_model")
Developer Guide
Environment Setup
Test and Build
After installing casey/just, you can use the following commands:
just install— Create Python venv and install dependencies.just develop— Build the Rust package for local development (required before running Python tests).just test-rs— Run Rust tests only.just test-py— Run Python tests only.just test— Run both Rust and Python tests.just build— Build the Python wheel. Output goes totarget/wheels/.
Coding Style
Format via just format.
Publishing
See scripts/publish.sh for local publishing to PyPI/TestPyPI:
./scripts/publish.sh --build # Build wheel only
./scripts/publish.sh --test # Build + publish to TestPyPI
./scripts/publish.sh # Build + publish to PyPI
License
Apache-2.0
Project details
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