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use std::{collections::VecDeque, env, ops::Add};
use anyhow::anyhow;
use itertools::Itertools;
use levenshtein::levenshtein;
use unicode_segmentation::UnicodeSegmentation;
use crate::{french_ipa::parse_word, save::Save};
async fn call_inference_service(word: &str) -> anyhow::Result<String> {
let server: Result<String, anyhow::Error> =
env::var("PHONEMIZER").or_else(|_| Ok("".to_string()));
Ok(
reqwest::get(format!("{}?grapheme={}", server.unwrap(), word))
.await?
.text()
.await?,
)
}
impl Save {
pub async fn inference(&self, prefix: &str) -> anyhow::Result<String> {
let phonemes = call_inference_service(prefix).await?;
let ipa_phonemes =
parse_word(&phonemes).ok_or_else(|| anyhow!("failed to parse the word"))?;
let completion = self
.trie
.random_starting_with(ipa_phonemes)
.ok_or_else(|| anyhow!("no matches"))?;
let infered = phonemes.add(&completion);
let word = self
.reverse_index
.get(&infered)
.ok_or_else(|| anyhow!("matched values is not in dictionary"))?;
println!("Matching {} by adding {}", word, completion);
// we finally just need to compute the end of the word which matches the sound
let mut found = None;
let mut characters: VecDeque<&str> = word.graphemes(true).collect();
while let Some(_) = characters.pop_front() {
let sub: String = characters.iter().join("");
let inference = call_inference_service(&sub).await?;
if levenshtein(&inference, &completion) < 2 {
found = Some(sub);
break;
} else {
println!("did not match a={}, b={}", inference, completion)
}
}
let found = found.ok_or_else(|| anyhow!("no prefix could be matched"))?;
println!("{} is equivalent to {}", completion, found);
Ok(format!("{} ({})", found, word))
}
}
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