| // 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::common::Column; | |
| use pyo3::prelude::*; | |
| #[pyclass( | |
| from_py_object, | |
| frozen, | |
| name = "Column", | |
| module = "datafusion.expr", | |
| subclass | |
| )] | |
| #[derive(Clone)] | |
| pub struct PyColumn { | |
| pub col: Column, | |
| } | |
| impl PyColumn { | |
| pub fn new(col: Column) -> Self { | |
| Self { col } | |
| } | |
| } | |
| impl From<Column> for PyColumn { | |
| fn from(col: Column) -> PyColumn { | |
| PyColumn { col } | |
| } | |
| } | |
| #[pymethods] | |
| impl PyColumn { | |
| /// Get the column name | |
| fn name(&self) -> String { | |
| self.col.name.clone() | |
| } | |
| /// Get the column relation | |
| fn relation(&self) -> Option<String> { | |
| self.col.relation.as_ref().map(|r| format!("{r}")) | |
| } | |
| /// Get the fully-qualified column name | |
| fn qualified_name(&self) -> String { | |
| self.col.flat_name() | |
| } | |
| /// Get a String representation of this column | |
| fn __repr__(&self) -> String { | |
| self.qualified_name() | |
| } | |
| } |