| // 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::arrow::datatypes::DataType; |
| use pyo3::prelude::*; |
| |
| use crate::common::data_type::PyDataType; |
| |
| #[pyclass(name = "ScalarVariable", module = "datafusion.expr", subclass)] |
| #[derive(Clone)] |
| pub struct PyScalarVariable { |
| data_type: DataType, |
| variables: Vec<String>, |
| } |
| |
| impl PyScalarVariable { |
| pub fn new(data_type: &DataType, variables: &[String]) -> Self { |
| Self { |
| data_type: data_type.to_owned(), |
| variables: variables.to_vec(), |
| } |
| } |
| } |
| |
| #[pymethods] |
| impl PyScalarVariable { |
| /// Get the data type |
| fn data_type(&self) -> PyResult<PyDataType> { |
| Ok(self.data_type.clone().into()) |
| } |
| |
| fn variables(&self) -> PyResult<Vec<String>> { |
| Ok(self.variables.clone()) |
| } |
| |
| fn __repr__(&self) -> PyResult<String> { |
| Ok(format!("{}{:?}", self.data_type, self.variables)) |
| } |
| } |