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#[cfg(feature = "suggestions")]
use std::cmp::Ordering;
use crate::build::App;
#[cfg(feature = "suggestions")]
pub(crate) fn did_you_mean<T, I>(v: &str, possible_values: I) -> Vec<String>
where
T: AsRef<str>,
I: IntoIterator<Item = T>,
{
let mut candidates: Vec<(f64, String)> = possible_values
.into_iter()
.map(|pv| (strsim::jaro_winkler(v, pv.as_ref()), pv.as_ref().to_owned()))
.filter(|(confidence, _)| *confidence > 0.8)
.collect();
candidates.sort_by(|a, b| a.0.partial_cmp(&b.0).unwrap_or(Ordering::Equal));
candidates.into_iter().map(|(_, pv)| pv).collect()
}
#[cfg(not(feature = "suggestions"))]
pub(crate) fn did_you_mean<T, I>(_: &str, _: I) -> Vec<String>
where
T: AsRef<str>,
I: IntoIterator<Item = T>,
{
Vec::new()
}
pub(crate) fn did_you_mean_flag<I, T>(
arg: &str,
longs: I,
subcommands: &mut [App],
) -> Option<(String, Option<String>)>
where
T: AsRef<str>,
I: IntoIterator<Item = T>,
{
use crate::mkeymap::KeyType;
match did_you_mean(arg, longs).pop() {
Some(candidate) => Some((candidate, None)),
None => {
for subcommand in subcommands {
subcommand._build();
let longs = subcommand.args.keys.iter().map(|x| &x.key).filter_map(|a| {
if let KeyType::Long(v) = a {
Some(v.to_string_lossy().into_owned())
} else {
None
}
});
if let Some(candidate) = did_you_mean(arg, longs).pop() {
return Some((candidate, Some(subcommand.get_name().to_string())));
}
}
None
}
}
}
#[cfg(all(test, features = "suggestions"))]
mod test {
use super::*;
#[test]
fn possible_values_match() {
let p_vals = ["test", "possible", "values"];
assert_eq!(did_you_mean("tst", p_vals.iter()), Some("test"));
}
#[test]
fn possible_values_match() {
let p_vals = ["test", "temp"];
assert_eq!(did_you_mean("te", p_vals.iter()), Some("test"));
}
#[test]
fn possible_values_nomatch() {
let p_vals = ["test", "possible", "values"];
assert!(did_you_mean("hahaahahah", p_vals.iter()).is_none());
}
#[test]
fn flag() {
let p_vals = ["test", "possible", "values"];
assert_eq!(
did_you_mean_flag("tst", p_vals.iter(), []),
Some(("test", None))
);
}
}