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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::{
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(frozen, 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<Schema>, output_schema: PyDFSchema) -> Self {
Self {
describe: DescribeTable {
schema: Arc::new(schema.0),
output_schema: Arc::new(output_schema.into()),
},
}
}
pub fn schema(&self) -> PyArrowType<Schema> {
(*self.describe.schema).clone().into()
}
pub fn output_schema(&self) -> PyDFSchema {
(*self.describe.output_schema).clone().into()
}
fn __repr__(&self) -> PyResult<String> {
Ok(format!("DescribeTable({self})"))
}
fn __name__(&self) -> PyResult<String> {
Ok("DescribeTable".to_string())
}
}
impl From<PyDescribeTable> for DescribeTable {
fn from(describe: PyDescribeTable) -> Self {
describe.describe
}
}
impl From<DescribeTable> for PyDescribeTable {
fn from(describe: DescribeTable) -> PyDescribeTable {
PyDescribeTable { describe }
}
}
impl LogicalNode for PyDescribeTable {
fn inputs(&self) -> Vec<PyLogicalPlan> {
vec![]
}
fn to_variant<'py>(&self, py: Python<'py>) -> PyResult<Bound<'py, PyAny>> {
self.clone().into_bound_py_any(py)
}
}