use crate::commands::WholeStreamCommand; use crate::prelude::*; use nu_errors::ShellError; use nu_protocol::{ReturnSuccess, Signature, SyntaxShape, UntaggedValue, Value}; use nu_source::Tagged; pub struct GroupByDate; #[derive(Deserialize)] pub struct GroupByDateArgs { column_name: Option>, format: Option>, } #[async_trait] impl WholeStreamCommand for GroupByDate { fn name(&self) -> &str { "group-by date" } fn signature(&self) -> Signature { Signature::build("group-by date") .optional( "column_name", SyntaxShape::String, "the name of the column to group by", ) .named( "format", SyntaxShape::String, "Specify date and time formatting", Some('f'), ) } fn usage(&self) -> &str { "creates a table grouped by date." } async fn run( &self, args: CommandArgs, registry: &CommandRegistry, ) -> Result { group_by_date(args, registry).await } fn examples(&self) -> Vec { vec![Example { description: "Group files by type", example: "ls | group-by date --format '%d/%m/%Y'", result: None, }] } } enum Grouper { ByDate(Option>), } enum GroupByColumn { Name(Option>), } pub async fn group_by_date( args: CommandArgs, registry: &CommandRegistry, ) -> Result { let registry = registry.clone(); let name = args.call_info.name_tag.clone(); let ( GroupByDateArgs { column_name, format, }, input, ) = args.process(®istry).await?; let values: Vec = input.collect().await; if values.is_empty() { Err(ShellError::labeled_error( "Expected table from pipeline", "requires a table input", name, )) } else { let values = UntaggedValue::table(&values).into_value(&name); let grouper_column = if let Some(column_name) = column_name { GroupByColumn::Name(Some(column_name)) } else { GroupByColumn::Name(None) }; let grouper_date = if let Some(date_format) = format { Grouper::ByDate(Some(date_format)) } else { Grouper::ByDate(None) }; let value_result = match (grouper_date, grouper_column) { (Grouper::ByDate(None), GroupByColumn::Name(None)) => { let block = Box::new(move |_, row: &Value| row.format("%Y-%m-%d")); crate::utils::data::group(&values, &Some(block), &name) } (Grouper::ByDate(None), GroupByColumn::Name(Some(column_name))) => { let block = Box::new(move |_, row: &Value| { let group_key = row .get_data_by_key(column_name.borrow_spanned()) .ok_or_else(|| suggestions(column_name.borrow_tagged(), &row)); group_key?.format("%Y-%m-%d") }); crate::utils::data::group(&values, &Some(block), &name) } (Grouper::ByDate(Some(fmt)), GroupByColumn::Name(None)) => { let block = Box::new(move |_, row: &Value| row.format(&fmt)); crate::utils::data::group(&values, &Some(block), &name) } (Grouper::ByDate(Some(fmt)), GroupByColumn::Name(Some(column_name))) => { let block = Box::new(move |_, row: &Value| { let group_key = row .get_data_by_key(column_name.borrow_spanned()) .ok_or_else(|| suggestions(column_name.borrow_tagged(), &row)); group_key?.format(&fmt) }); crate::utils::data::group(&values, &Some(block), &name) } }; Ok(OutputStream::one(ReturnSuccess::value(value_result?))) } } pub fn suggestions(tried: Tagged<&str>, for_value: &Value) -> ShellError { let possibilities = for_value.data_descriptors(); let mut possible_matches: Vec<_> = possibilities .iter() .map(|x| (natural::distance::levenshtein_distance(x, &tried), x)) .collect(); possible_matches.sort(); if !possible_matches.is_empty() { ShellError::labeled_error( "Unknown column", format!("did you mean '{}'?", possible_matches[0].1), tried.tag(), ) } else { ShellError::labeled_error( "Unknown column", "row does not contain this column", tried.tag(), ) } } #[cfg(test)] mod tests { use super::GroupByDate; #[test] fn examples_work_as_expected() { use crate::examples::test as test_examples; test_examples(GroupByDate {}) } }