nushell/crates/nu-cli/src/utils/data/group.rs
2020-05-15 04:16:09 -05:00

69 lines
2.2 KiB
Rust

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