use crate::utils::wait_for_future;
use datafusion::arrow::pyarrow::ToPyArrow;
use datafusion::arrow::record_batch::RecordBatch;
use datafusion::physical_plan::SendableRecordBatchStream;
use futures::StreamExt;
use pyo3::{pyclass, pymethods, PyObject, PyResult, Python};
#[pyclass(name = "RecordBatch", module = "datafusion", subclass)]
pub struct PyRecordBatch {
batch: RecordBatch,
}
#[pymethods]
impl PyRecordBatch {
fn to_pyarrow(&self, py: Python) -> PyResult<PyObject> {
self.batch.to_pyarrow(py)
}
}
impl From<RecordBatch> for PyRecordBatch {
fn from(batch: RecordBatch) -> Self {
Self { batch }
}
}
#[pyclass(name = "RecordBatchStream", module = "datafusion", subclass)]
pub struct PyRecordBatchStream {
stream: SendableRecordBatchStream,
}
impl PyRecordBatchStream {
pub fn new(stream: SendableRecordBatchStream) -> Self {
Self { stream }
}
}
#[pymethods]
impl PyRecordBatchStream {
fn next(&mut self, py: Python) -> PyResult<Option<PyRecordBatch>> {
let result = self.stream.next();
match wait_for_future(py, result) {
None => Ok(None),
Some(Ok(b)) => Ok(Some(b.into())),
Some(Err(e)) => Err(e.into()),
}
}
}