use crate::{commands::dataframe::utils::parse_polars_error, prelude::*}; use nu_engine::WholeStreamCommand; use nu_errors::ShellError; use nu_protocol::{ dataframe::{Column, NuDataFrame}, Signature, SyntaxShape, UntaggedValue, }; use nu_source::Tagged; use polars::prelude::IntoSeries; pub struct DataFrame; impl WholeStreamCommand for DataFrame { fn name(&self) -> &str { "dataframe contains" } fn usage(&self) -> &str { "[Series] Checks if a pattern is contained in a string" } fn signature(&self) -> Signature { Signature::build("dataframe contains").required( "pattern", SyntaxShape::String, "Regex pattern to be searched", ) } fn run(&self, args: CommandArgs) -> Result { command(args) } fn examples(&self) -> Vec { vec![Example { description: "Returns boolean indicating if pattern was found", example: "[abc acb acb] | dataframe to-df | dataframe contains ab", result: Some(vec![NuDataFrame::try_from_columns( vec![Column::new( "0".to_string(), vec![ UntaggedValue::boolean(true).into(), UntaggedValue::boolean(false).into(), UntaggedValue::boolean(false).into(), ], )], &Span::default(), ) .expect("simple df for test should not fail") .into_value(Tag::default())]), }] } } fn command(mut args: CommandArgs) -> Result { let tag = args.call_info.name_tag.clone(); let pattern: Tagged = args.req(0)?; let (df, df_tag) = NuDataFrame::try_from_stream(&mut args.input, &tag.span)?; let series = df.as_series(&df_tag.span)?; let chunked = series.utf8().map_err(|e| { parse_polars_error::<&str>( &e, &df_tag.span, Some("The contains command can only be used with string columns"), ) })?; let res = chunked .contains(&pattern.item) .map_err(|e| parse_polars_error::<&str>(&e, &tag.span, None))?; let df = NuDataFrame::try_from_series(vec![res.into_series()], &tag.span)?; Ok(OutputStream::one(df.into_value(df_tag))) } #[cfg(test)] mod tests { use super::DataFrame; use super::ShellError; #[test] fn examples_work_as_expected() -> Result<(), ShellError> { use crate::examples::test_dataframe as test_examples; test_examples(DataFrame {}) } }