arrow-message implements a way to define messages according to the Arrow format in both Rust and Python
Project description
arrow-message
arrow-message makes it possible to create a Message struct in Rust or Python and convert it into a single arrow::array::ArrayData without any copy. It's also possible to get back to the initial struct without any copy as well.
The resulting arrow::array::ArrayData can then be sent safely over the network, a mpsc channel or to a Python script thanks to the pyo3 crate and the pyarrow feature.
The project aims to be used in context where we want to send a single payload containing multiple large fields. Like a struct representing an image or a video frame. This is ideal for Robotics and AI applications.
Example
use arrow::array::*;
use arrow_message::prelude::*;
#[derive(Debug, ArrowMessage)]
enum Encoding {
RGB8,
RGBA8,
BGR8,
BGRA8,
}
#[derive(Debug, ArrowMessage)]
struct Metadata {
name: Option<String>,
width: u32,
height: u32,
encoding: Encoding,
}
#[derive(Debug, ArrowMessage)]
struct Image {
data: UInt8Array,
metadata: Option<Metadata>,
}
fn main() -> Result<()> {
use miette::IntoDiagnostic;
let image = Image {
data: UInt8Array::from(vec![1, 2, 3]),
metadata: Some(Metadata {
name: Some("example".to_string()),
width: 12,
height: 12,
encoding: Encoding::RGB8,
}),
};
println!("{:?}", image);
let arrow = ArrayData::try_from(image).into_diagnostic()?;
let image = Image::try_from(arrow).into_diagnostic()?;
println!("{:?}", image);
Ok(())
}
You can see an expanded version without the Derive macro here, and a more complex example here.
A python version here
from pyarrow_message import ArrowMessage
from dataclasses import dataclass
from typing import Optional
from enum import Enum
import numpy as np
class Encoding(ArrowMessage, Enum):
RGB8 = "RGB8"
RGBA8 = "RGBA8"
BGR8 = "BGR8"
BGRA8 = "BGRA8"
@dataclass
class Metadata(ArrowMessage):
name: Optional[str]
width: np.uint32
height: np.uint32
encoding: Optional[Encoding]
@dataclass
class Image(ArrowMessage):
data: np.ndarray
metadata: Optional[Metadata]
def main():
image = Image(
data=np.array([1, 2, 3], dtype=np.uint8),
metadata=Metadata(
width=np.uint32(12),
height=np.uint32(12),
name="example",
encoding=Encoding.RGB8,
),
)
print(image)
arrow = image.to_arrow()
image2 = Image.from_arrow(arrow)
print(image2)
if __name__ == "__main__":
main()
Just run examples
We use a justfile to run examples:
just example-derive-enum # rust enum_derive.rs example
just example-derive-inherit # python enum_inherit.py example
Features
-
Fields supported
- Primitive types
- Optional Primitive Rust types
- Arrow Arrays for Rust, Numpy Arrays for Python
- Optional Arrow Arrays for Rust, Numpy Arrays for Python
- Rust structs that implement ArrowMessage, Python dataclasses that inherit from ArrowMessage for Python
- Rust simple enums that implement ArrowMessage for Rust, Python simple enums that inherit from ArrowMessage for Python
- Optional structs/classes that implement/inherit ArrowMessage
- Optional enums that implement/inherit ArrowMessage
- [?]
Enums with variant that implements/inherit ArrowMessage? I don't think it's possible, as an ArrowMessage should know it's exact datatype layout at compile time (only Option that are represented as NullArray when on runtime the value is None)
-
Operations supported
- Into/From ArrayData
- ArrayData Flattening
What's Next?
- Think about Vec/List support. is it possible and is it relevant?.
- Improved error handling and validation: too much panic! in arrow that we must catch.
- Make to python API fully Rust with PyO3 (may be hard because we use a lot of python runtime tricks)
- Enhanced documentation and examples
- Integration with other libraries and frameworks
Project details
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