1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57
// 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::sync::Arc;
use datafusion_common::DFSchema;
use pyo3::prelude::*;
#[derive(Debug, Clone)]
#[pyclass(name = "DFSchema", module = "datafusion.common", subclass)]
pub struct PyDFSchema {
schema: Arc<DFSchema>,
}
impl From<PyDFSchema> for DFSchema {
fn from(schema: PyDFSchema) -> DFSchema {
(*schema.schema).clone()
}
}
impl From<DFSchema> for PyDFSchema {
fn from(schema: DFSchema) -> PyDFSchema {
PyDFSchema {
schema: Arc::new(schema),
}
}
}
#[pymethods]
impl PyDFSchema {
#[pyo3(name = "empty")]
#[staticmethod]
fn py_empty() -> PyResult<Self> {
Ok(Self {
schema: Arc::new(DFSchema::empty()),
})
}
#[pyo3(name = "field_names")]
fn py_field_names(&self) -> PyResult<Vec<String>> {
Ok(self.schema.field_names())
}
}