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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,212 @@ | ||
| use crate::lazy::dsl::PyExpr; | ||
| use crate::prelude::PyDataType; | ||
| use crate::series::PySeries; | ||
| use crate::utils::str_to_polarstype; | ||
| use polars::prelude::*; | ||
| use pyo3::prelude::*; | ||
| use pyo3::types::PyList; | ||
|
|
||
| fn get_output_type(obj: &PyAny) -> Option<DataType> { | ||
| match obj.is_none() { | ||
| true => None, | ||
| false => Some(obj.extract::<PyDataType>().unwrap().into()), | ||
| } | ||
| } | ||
|
|
||
| pub(crate) fn call_lambda_with_series( | ||
| py: Python, | ||
| s: Series, | ||
| lambda: &PyObject, | ||
| polars_module: &PyObject, | ||
| ) -> PyObject { | ||
| let pypolars = polars_module.cast_as::<PyModule>(py).unwrap(); | ||
|
|
||
| // create a PySeries struct/object for Python | ||
| let pyseries = PySeries::new(s); | ||
| // Wrap this PySeries object in the python side Series wrapper | ||
| let python_series_wrapper = pypolars | ||
| .getattr("wrap_s") | ||
| .unwrap() | ||
| .call1((pyseries,)) | ||
| .unwrap(); | ||
| // call the lambda and get a python side Series wrapper | ||
| match lambda.call1(py, (python_series_wrapper,)) { | ||
| Ok(pyobj) => pyobj, | ||
| Err(e) => panic!("python apply failed: {}", e.pvalue(py).to_string()), | ||
| } | ||
| } | ||
|
|
||
| /// A python lambda taking two Series | ||
| pub(crate) fn binary_lambda(lambda: &PyObject, a: Series, b: Series) -> Result<Series> { | ||
| let gil = Python::acquire_gil(); | ||
| let py = gil.python(); | ||
| // get the pypolars module | ||
| let pypolars = PyModule::import(py, "polars").unwrap(); | ||
| // create a PySeries struct/object for Python | ||
| let pyseries_a = PySeries::new(a); | ||
| let pyseries_b = PySeries::new(b); | ||
|
|
||
| // Wrap this PySeries object in the python side Series wrapper | ||
| let python_series_wrapper_a = pypolars | ||
| .getattr("wrap_s") | ||
| .unwrap() | ||
| .call1((pyseries_a,)) | ||
| .unwrap(); | ||
| let python_series_wrapper_b = pypolars | ||
| .getattr("wrap_s") | ||
| .unwrap() | ||
| .call1((pyseries_b,)) | ||
| .unwrap(); | ||
|
|
||
| // call the lambda and get a python side Series wrapper | ||
| let result_series_wrapper = | ||
| match lambda.call1(py, (python_series_wrapper_a, python_series_wrapper_b)) { | ||
| Ok(pyobj) => pyobj, | ||
| Err(e) => panic!( | ||
| "custom python function failed: {}", | ||
| e.pvalue(py).to_string() | ||
| ), | ||
| }; | ||
| // unpack the wrapper in a PySeries | ||
| let py_pyseries = result_series_wrapper | ||
| .getattr(py, "_s") | ||
| .expect("Could net get series attribute '_s'. Make sure that you return a Series object."); | ||
| // Downcast to Rust | ||
| let pyseries = py_pyseries.extract::<PySeries>(py).unwrap(); | ||
| // Finally get the actual Series | ||
| Ok(pyseries.series) | ||
| } | ||
|
|
||
| pub fn binary_function( | ||
| input_a: PyExpr, | ||
| input_b: PyExpr, | ||
| lambda: PyObject, | ||
| output_type: &PyAny, | ||
| ) -> PyExpr { | ||
| let input_a = input_a.inner; | ||
| let input_b = input_b.inner; | ||
|
|
||
| let output_field = match output_type.is_none() { | ||
| true => Field::new("binary_function", DataType::Null), | ||
| false => { | ||
| let str_repr = output_type.str().unwrap().to_str().unwrap(); | ||
| let data_type = str_to_polarstype(str_repr); | ||
| Field::new("binary_function", data_type) | ||
| } | ||
| }; | ||
|
|
||
| let func = move |a: Series, b: Series| binary_lambda(&lambda, a, b); | ||
|
|
||
| polars::lazy::dsl::map_binary(input_a, input_b, func, Some(output_field)).into() | ||
| } | ||
|
|
||
| pub fn map_single( | ||
| pyexpr: &PyExpr, | ||
| py: Python, | ||
| lambda: PyObject, | ||
| output_type: &PyAny, | ||
| agg_list: bool, | ||
| ) -> PyExpr { | ||
| let output_type = get_output_type(output_type); | ||
| // get the pypolars module | ||
| // do the import outside of the function to prevent import side effects in a hot loop. | ||
| let pypolars = PyModule::import(py, "polars").unwrap().to_object(py); | ||
|
|
||
| let function = move |s: Series| { | ||
| let gil = Python::acquire_gil(); | ||
| let py = gil.python(); | ||
|
|
||
| // this is a python Series | ||
| let out = call_lambda_with_series(py, s, &lambda, &pypolars); | ||
|
|
||
| // unpack the wrapper in a PySeries | ||
| let py_pyseries = out.getattr(py, "_s").expect( | ||
| "Could net get series attribute '_s'. \ | ||
| Make sure that you return a Series object from a custom function.", | ||
| ); | ||
| // Downcast to Rust | ||
| let pyseries = py_pyseries.extract::<PySeries>(py).unwrap(); | ||
| // Finally get the actual Series | ||
| Ok(pyseries.series) | ||
| }; | ||
|
|
||
| let output_map = GetOutput::map_field(move |fld| match output_type { | ||
| Some(ref dt) => Field::new(fld.name(), dt.clone()), | ||
| None => fld.clone(), | ||
| }); | ||
| if agg_list { | ||
| pyexpr.clone().inner.map_list(function, output_map).into() | ||
| } else { | ||
| pyexpr.clone().inner.map(function, output_map).into() | ||
| } | ||
| } | ||
|
|
||
| pub(crate) fn call_lambda_with_series_slice( | ||
| py: Python, | ||
| s: &mut [Series], | ||
| lambda: &PyObject, | ||
| polars_module: &PyObject, | ||
| ) -> PyObject { | ||
| let pypolars = polars_module.cast_as::<PyModule>(py).unwrap(); | ||
|
|
||
| // create a PySeries struct/object for Python | ||
| let iter = s.iter().map(|s| { | ||
| let ps = PySeries::new(s.clone()); | ||
|
|
||
| // Wrap this PySeries object in the python side Series wrapper | ||
| let python_series_wrapper = pypolars.getattr("wrap_s").unwrap().call1((ps,)).unwrap(); | ||
|
|
||
| python_series_wrapper | ||
| }); | ||
| let wrapped_s = PyList::new(py, iter); | ||
|
|
||
| // call the lambda and get a python side Series wrapper | ||
| match lambda.call1(py, (wrapped_s,)) { | ||
| Ok(pyobj) => pyobj, | ||
| Err(e) => panic!("python apply failed: {}", e.pvalue(py).to_string()), | ||
| } | ||
| } | ||
|
|
||
| pub fn map_mul( | ||
| pyexpr: &[PyExpr], | ||
| py: Python, | ||
| lambda: PyObject, | ||
| output_type: &PyAny, | ||
| apply_groups: bool, | ||
| ) -> PyExpr { | ||
| let output_type = get_output_type(output_type); | ||
|
|
||
| // get the pypolars module | ||
| // do the import outside of the function to prevent import side effects in a hot loop. | ||
| let pypolars = PyModule::import(py, "polars").unwrap().to_object(py); | ||
|
|
||
| let function = move |s: &mut [Series]| { | ||
| let gil = Python::acquire_gil(); | ||
| let py = gil.python(); | ||
|
|
||
| // this is a python Series | ||
| let out = call_lambda_with_series_slice(py, s, &lambda, &pypolars); | ||
|
|
||
| // unpack the wrapper in a PySeries | ||
| let py_pyseries = out.getattr(py, "_s").expect( | ||
| "Could net get series attribute '_s'. \ | ||
| Make sure that you return a Series object from a custom function.", | ||
| ); | ||
| // Downcast to Rust | ||
| let pyseries = py_pyseries.extract::<PySeries>(py).unwrap(); | ||
| // Finally get the actual Series | ||
| Ok(pyseries.series) | ||
| }; | ||
|
|
||
| let exprs = pyexpr.iter().map(|pe| pe.clone().inner).collect::<Vec<_>>(); | ||
|
|
||
| let output_map = GetOutput::map_field(move |fld| match output_type { | ||
| Some(ref dt) => Field::new(fld.name(), dt.clone()), | ||
| None => fld.clone(), | ||
| }); | ||
| if apply_groups { | ||
| polars::lazy::dsl::apply_mul(function, exprs, output_map).into() | ||
| } else { | ||
| polars::lazy::dsl::map_mul(function, exprs, output_map).into() | ||
| } | ||
| } |
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