// 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::{ fmt::{self, Display, Formatter}, sync::Arc, }; use arrow::{datatypes::Schema, pyarrow::PyArrowType}; use datafusion::logical_expr::DescribeTable; use pyo3::{prelude::*, IntoPyObjectExt}; use crate::{common::df_schema::PyDFSchema, sql::logical::PyLogicalPlan}; use super::logical_node::LogicalNode; #[pyclass(name = "DescribeTable", module = "datafusion.expr", subclass)] #[derive(Clone)] pub struct PyDescribeTable { describe: DescribeTable, } impl Display for PyDescribeTable { fn fmt(&self, f: &mut Formatter) -> fmt::Result { write!(f, "DescribeTable") } } #[pymethods] impl PyDescribeTable { #[new] fn new(schema: PyArrowType, output_schema: PyDFSchema) -> Self { Self { describe: DescribeTable { schema: Arc::new(schema.0), output_schema: Arc::new(output_schema.into()), }, } } pub fn schema(&self) -> PyArrowType { (*self.describe.schema).clone().into() } pub fn output_schema(&self) -> PyDFSchema { (*self.describe.output_schema).clone().into() } fn __repr__(&self) -> PyResult { Ok(format!("DescribeTable({self})")) } fn __name__(&self) -> PyResult { Ok("DescribeTable".to_string()) } } impl From for DescribeTable { fn from(describe: PyDescribeTable) -> Self { describe.describe } } impl From for PyDescribeTable { fn from(describe: DescribeTable) -> PyDescribeTable { PyDescribeTable { describe } } } impl LogicalNode for PyDescribeTable { fn inputs(&self) -> Vec { vec![] } fn to_variant<'py>(&self, py: Python<'py>) -> PyResult> { self.clone().into_bound_py_any(py) } }