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69 lines
2.2 KiB
Rust
69 lines
2.2 KiB
Rust
use indexmap::IndexMap;
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use nu_errors::ShellError;
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use nu_protocol::{TaggedDictBuilder, UntaggedValue, Value};
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use nu_source::{Tag, Tagged, TaggedItem};
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use nu_value_ext::{as_string, get_data_by_key};
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#[allow(clippy::type_complexity)]
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pub fn group(
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column_name: Option<Tagged<String>>,
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values: &[Value],
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grouper: Option<Box<dyn Fn(&Value) -> Result<String, ShellError> + Send>>,
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tag: impl Into<Tag>,
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) -> Result<Value, ShellError> {
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let tag = tag.into();
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let mut groups: IndexMap<String, Vec<Value>> = IndexMap::new();
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for value in values {
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let group_key = if let Some(ref column_name) = column_name {
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get_data_by_key(&value, column_name.borrow_spanned())
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} else {
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Some(value.clone())
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};
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if let Some(group_key) = group_key {
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let group_key = if let Some(ref grouper) = grouper {
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grouper(&group_key)
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} else {
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as_string(&group_key)
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};
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let group = groups.entry(group_key?).or_insert(vec![]);
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group.push((*value).clone());
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} else {
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let column_name = column_name.unwrap_or_else(|| String::from("").tagged(&tag));
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let possibilities = value.data_descriptors();
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let mut possible_matches: Vec<_> = possibilities
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.iter()
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.map(|x| (natural::distance::levenshtein_distance(x, &column_name), x))
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.collect();
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possible_matches.sort();
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if !possible_matches.is_empty() {
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return Err(ShellError::labeled_error(
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"Unknown column",
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format!("did you mean '{}'?", possible_matches[0].1),
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column_name.tag(),
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));
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} else {
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return Err(ShellError::labeled_error(
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"Unknown column",
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"row does not contain this column",
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column_name.tag(),
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));
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}
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}
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}
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let mut out = TaggedDictBuilder::new(&tag);
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for (k, v) in groups.iter() {
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out.insert_untagged(k, UntaggedValue::table(v));
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}
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Ok(out.into_value())
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}
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