| // 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}; |
| use std::sync::Arc; |
| |
| use datafusion::logical_expr::DropFunction; |
| use pyo3::prelude::*; |
| use pyo3::IntoPyObjectExt; |
| |
| use super::logical_node::LogicalNode; |
| use crate::common::df_schema::PyDFSchema; |
| use crate::sql::logical::PyLogicalPlan; |
| |
| #[pyclass(frozen, name = "DropFunction", module = "datafusion.expr", subclass)] |
| #[derive(Clone)] |
| pub struct PyDropFunction { |
| drop: DropFunction, |
| } |
| |
| impl From<PyDropFunction> for DropFunction { |
| fn from(drop: PyDropFunction) -> Self { |
| drop.drop |
| } |
| } |
| |
| impl From<DropFunction> for PyDropFunction { |
| fn from(drop: DropFunction) -> PyDropFunction { |
| PyDropFunction { drop } |
| } |
| } |
| |
| impl Display for PyDropFunction { |
| fn fmt(&self, f: &mut Formatter) -> fmt::Result { |
| write!(f, "DropFunction") |
| } |
| } |
| |
| #[pymethods] |
| impl PyDropFunction { |
| #[new] |
| fn new(name: String, schema: PyDFSchema, if_exists: bool) -> PyResult<Self> { |
| Ok(PyDropFunction { |
| drop: DropFunction { |
| name, |
| schema: Arc::new(schema.into()), |
| if_exists, |
| }, |
| }) |
| } |
| fn name(&self) -> PyResult<String> { |
| Ok(self.drop.name.clone()) |
| } |
| |
| fn schema(&self) -> PyDFSchema { |
| (*self.drop.schema).clone().into() |
| } |
| |
| fn if_exists(&self) -> PyResult<bool> { |
| Ok(self.drop.if_exists) |
| } |
| |
| fn __repr__(&self) -> PyResult<String> { |
| Ok(format!("DropFunction({self})")) |
| } |
| |
| fn __name__(&self) -> PyResult<String> { |
| Ok("DropFunction".to_string()) |
| } |
| } |
| |
| impl LogicalNode for PyDropFunction { |
| 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) |
| } |
| } |