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// Licensed to the Apache Software Foundation (ASF) under one

// or more contributor license agreements. See the NOTICE file

// distributed with this work for additional information

// regarding copyright ownership. The ASF licenses this file

// to you under the Apache License, Version 2.0 (the

// "License"); you may not use this file except in compliance

// with the License. You may obtain a copy of the License at

//

// http://www.apache.org/licenses/LICENSE-2.0

//

// Unless required by applicable law or agreed to in writing,

// software distributed under the License is distributed on an

// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY

// KIND, either express or implied. See the License for the

// specific language governing permissions and limitations

// under the License.

use datafusion::common::DataFusionError;

use datafusion::logical_expr::logical_plan::Sort;

use pyo3::prelude::*;

use std::fmt::{self, Display, Formatter};

use crate::common::df_schema::PyDFSchema;

use crate::expr::logical_node::LogicalNode;

use crate::expr::sort_expr::PySortExpr;

use crate::sql::logical::PyLogicalPlan;

#[pyclass(name = "Sort", module = "datafusion.expr", subclass)]

#[derive(Clone)]

pub struct PySort {

sort: Sort,

}

impl From<Sort> for PySort {

fn from(sort: Sort) -> PySort {

PySort { sort }

}

}

impl TryFrom<PySort> for Sort {

type Error = DataFusionError;

fn try_from(agg: PySort) -> Result<Self, Self::Error> {

Ok(agg.sort)

}

}

impl Display for PySort {

fn fmt(&self, f: &mut Formatter) -> fmt::Result {

write!(

f,

"Sort

\nExpr(s): {:?}

\nInput: {:?}

\nSchema: {:?}",

&self.sort.expr,

self.sort.input,

self.sort.input.schema()

)

}

}

#[pymethods]

impl PySort {

/// Retrieves the sort expressions for this `Sort`

fn sort_exprs(&self) -> PyResult<Vec<PySortExpr>> {

Ok(self

.sort

.expr

.iter()

.map(|e| PySortExpr::from(e.clone()))

.collect())

}

fn get_fetch_val(&self) -> PyResult<Option<usize>> {

Ok(self.sort.fetch)

}

/// Retrieves the input `LogicalPlan` to this `Sort` node

fn input(&self) -> PyResult<Vec<PyLogicalPlan>> {

Ok(Self::inputs(self))

}

/// Resulting Schema for this `Sort` node instance

fn schema(&self) -> PyDFSchema {

self.sort.input.schema().as_ref().clone().into()

}

fn __repr__(&self) -> PyResult<String> {

Ok(format!("Sort({})", self))

}

}

impl LogicalNode for PySort {

fn inputs(&self) -> Vec<PyLogicalPlan> {

vec![PyLogicalPlan::from((*self.sort.input).clone())]

}

fn to_variant(&self, py: Python) -> PyResult<PyObject> {

Ok(self.clone().into_py(py))

}

}