lean-ctx 3.6.3

use chrono::Utc;

use super::types::KnowledgeFact;

pub(super) fn confidence_stars(confidence: f32) -> &'static str {
    if confidence >= 0.95 {
        "★★★★★"
    } else if confidence >= 0.85 {
        "★★★★"
    } else if confidence >= 0.7 {
        "★★★"
    } else if confidence >= 0.5 {
        "★★"
    } else {
        "★"
    }
}

pub(super) fn string_similarity(a: &str, b: &str) -> f32 {
    let a_lower = a.to_lowercase();
    let b_lower = b.to_lowercase();
    let a_words: std::collections::HashSet<&str> = a_lower.split_whitespace().collect();
    let b_words: std::collections::HashSet<&str> = b_lower.split_whitespace().collect();

    if a_words.is_empty() && b_words.is_empty() {
        return 1.0;
    }

    let intersection = a_words.intersection(&b_words).count();
    let union = a_words.union(&b_words).count();

    if union == 0 {
        return 0.0;
    }

    intersection as f32 / union as f32
}

pub(super) fn sort_fact_for_output(a: &KnowledgeFact, b: &KnowledgeFact) -> std::cmp::Ordering {
    salience_score(b)
        .cmp(&salience_score(a))
        .then_with(|| {
            b.quality_score()
                .partial_cmp(&a.quality_score())
                .unwrap_or(std::cmp::Ordering::Equal)
        })
        .then_with(|| {
            b.confidence
                .partial_cmp(&a.confidence)
                .unwrap_or(std::cmp::Ordering::Equal)
        })
        .then_with(|| b.confirmation_count.cmp(&a.confirmation_count))
        .then_with(|| b.retrieval_count.cmp(&a.retrieval_count))
        .then_with(|| b.last_retrieved.cmp(&a.last_retrieved))
        .then_with(|| b.last_confirmed.cmp(&a.last_confirmed))
        .then_with(|| a.category.cmp(&b.category))
        .then_with(|| a.key.cmp(&b.key))
        .then_with(|| a.value.cmp(&b.value))
}

/// Salience-based ranking for fact output ordering.
///
/// Unlike `quality_score()` (which is a stable, intrinsic measure of fact
/// reliability based on confidence, confirmations, and feedback), salience
/// combines category priority, quality, recency, and retrieval frequency
/// into a single sort key for _display_ ordering. Salience is volatile and
/// changes on every access; quality_score is deterministic and stable.
fn salience_score(f: &KnowledgeFact) -> u32 {
    let cat = f.category.to_lowercase();
    let base: u32 = match cat.as_str() {
        "decision" => 70,
        "gotcha" => 75,
        "architecture" | "arch" => 60,
        "security" => 65,
        "testing" | "tests" | "deployment" | "deploy" => 55,
        "conventions" | "convention" => 45,
        "finding" => 40,
        _ => 30,
    };

    let quality_bonus = (f.quality_score() * 60.0) as u32;

    let recency_bonus = f.last_retrieved.map_or(0u32, |t| {
        let days = Utc::now().signed_duration_since(t).num_days();
        if days <= 7 {
            10u32
        } else if days <= 30 {
            5u32
        } else {
            0u32
        }
    });

    base + quality_bonus + recency_bonus
}

pub(super) fn hash_project_root(root: &str) -> String {
    crate::core::project_hash::hash_project_root(root)
}

pub(super) fn tokenize_lower(s: &str) -> impl Iterator<Item = String> + '_ {
    s.to_lowercase()
        .split(|c: char| c.is_whitespace() || c == '-' || c == '_' || c == '/' || c == '.')
        .filter(|t| !t.is_empty())
        .map(String::from)
        .collect::<Vec<_>>()
        .into_iter()
}

pub(super) fn build_token_index(
    facts: &[KnowledgeFact],
    include_session: bool,
) -> std::collections::HashMap<String, Vec<usize>> {
    let mut index: std::collections::HashMap<String, Vec<usize>> = std::collections::HashMap::new();
    for (i, f) in facts.iter().enumerate() {
        for token in tokenize_lower(&f.category) {
            index.entry(token).or_default().push(i);
        }
        for token in tokenize_lower(&f.key) {
            index.entry(token).or_default().push(i);
        }
        for token in tokenize_lower(&f.value) {
            index.entry(token).or_default().push(i);
        }
        if include_session {
            for token in tokenize_lower(&f.source_session) {
                index.entry(token).or_default().push(i);
            }
        }
    }
    for indices in index.values_mut() {
        indices.sort_unstable();
        indices.dedup();
    }
    index
}

pub(super) fn fact_version_id_v1(f: &KnowledgeFact) -> String {
    use md5::{Digest, Md5};
    let mut hasher = Md5::new();
    hasher.update(f.category.as_bytes());
    hasher.update(b"\n");
    hasher.update(f.key.as_bytes());
    hasher.update(b"\n");
    hasher.update(f.value.as_bytes());
    hasher.update(b"\n");
    hasher.update(f.source_session.as_bytes());
    hasher.update(b"\n");
    hasher.update(f.created_at.to_rfc3339().as_bytes());
    format!("{:x}", hasher.finalize())
}