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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 std::collections::HashMap;

use datafusion::arrow::datatypes::DataType;

use pyo3::prelude::*;

use super::data_type::PyDataType;

#[pyclass(

from_py_object,

frozen,

name = "SqlFunction",

module = "datafusion.common",

subclass

)]

#[derive(Debug, Clone)]

pub struct SqlFunction {

pub name: String,

pub return_types: HashMap<Vec<DataType>, DataType>,

pub aggregation: bool,

}

impl SqlFunction {

pub fn new(

function_name: String,

input_types: Vec<PyDataType>,

return_type: PyDataType,

aggregation_bool: bool,

) -> Self {

let mut func = Self {

name: function_name,

return_types: HashMap::new(),

aggregation: aggregation_bool,

};

func.add_type_mapping(input_types, return_type);

func

}

pub fn add_type_mapping(&mut self, input_types: Vec<PyDataType>, return_type: PyDataType) {

self.return_types.insert(

input_types.iter().map(|t| t.clone().into()).collect(),

return_type.into(),

);

}

}