use super::super::super::values::{Column, NuDataFrame}; use nu_protocol::{ ast::Call, engine::{Command, EngineState, Stack}, Category, Example, PipelineData, ShellError, Signature, Span, Type, Value, }; use polars::prelude::{IntoSeries, StringNameSpaceImpl}; #[derive(Clone)] pub struct StrLengths; impl Command for StrLengths { fn name(&self) -> &str { "dfr str-lengths" } fn usage(&self) -> &str { "Get lengths of all strings." } fn signature(&self) -> Signature { Signature::build(self.name()) .input_output_type( Type::Custom("dataframe".into()), Type::Custom("dataframe".into()), ) .category(Category::Custom("dataframe".into())) } fn examples(&self) -> Vec { vec![Example { description: "Returns string lengths", example: "[a ab abc] | dfr into-df | dfr str-lengths", result: Some( NuDataFrame::try_from_columns(vec![Column::new( "0".to_string(), vec![Value::test_int(1), Value::test_int(2), Value::test_int(3)], )]) .expect("simple df for test should not fail") .into_value(Span::test_data()), ), }] } fn run( &self, engine_state: &EngineState, stack: &mut Stack, call: &Call, input: PipelineData, ) -> Result { command(engine_state, stack, call, input) } } fn command( _engine_state: &EngineState, _stack: &mut Stack, call: &Call, input: PipelineData, ) -> Result { let df = NuDataFrame::try_from_pipeline(input, call.head)?; let series = df.as_series(call.head)?; let chunked = series.str().map_err(|e| ShellError::GenericError { error: "Error casting to string".into(), msg: e.to_string(), span: Some(call.head), help: Some("The str-lengths command can only be used with string columns".into()), inner: vec![], })?; let res = chunked.as_ref().str_len_bytes().into_series(); NuDataFrame::try_from_series(vec![res], call.head) .map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None)) } #[cfg(test)] mod test { use super::super::super::super::test_dataframe::test_dataframe; use super::*; #[test] fn test_examples() { test_dataframe(vec![Box::new(StrLengths {})]) } }