#![allow(dead_code)]
// poc-memory: graph-structured memory with append-only Cap'n Proto storage
//
// Architecture:
//   nodes.capnp     - append-only content node log
//   relations.capnp - append-only relation log
//   state.bin       - derived KV cache (rebuilt from logs when stale)
//
// Graph algorithms: clustering coefficient, community detection (label
// propagation), schema fit scoring, small-world metrics, consolidation
// priority. Text similarity via BM25 with Porter stemming.
//
// Neuroscience-inspired: spaced repetition replay, emotional gating,
// interference detection, schema assimilation, reconsolidation.

mod capnp_store;
mod graph;
mod search;
mod similarity;
mod migrate;
mod neuro;

pub mod memory_capnp {
    include!(concat!(env!("OUT_DIR"), "/schema/memory_capnp.rs"));
}

use std::env;
use std::process;

fn main() {
    let args: Vec<String> = env::args().collect();
    if args.len() < 2 {
        usage();
        process::exit(1);
    }

    let result = match args[1].as_str() {
        "search"                => cmd_search(&args[2..]),
        "init"                  => cmd_init(),
        "migrate"               => cmd_migrate(),
        "health"                => cmd_health(),
        "status"                => cmd_status(),
        "graph"                 => cmd_graph(),
        "used"                  => cmd_used(&args[2..]),
        "wrong"                 => cmd_wrong(&args[2..]),
        "gap"                   => cmd_gap(&args[2..]),
        "categorize"            => cmd_categorize(&args[2..]),
        "decay"                 => cmd_decay(),
        "consolidate-batch"     => cmd_consolidate_batch(&args[2..]),
        "log"                   => cmd_log(),
        "params"                => cmd_params(),
        "link"                  => cmd_link(&args[2..]),
        "replay-queue"          => cmd_replay_queue(&args[2..]),
        "interference"          => cmd_interference(&args[2..]),
        "link-add"              => cmd_link_add(&args[2..]),
        "link-impact"           => cmd_link_impact(&args[2..]),
        "consolidate-session"   => cmd_consolidate_session(),
        "daily-check"           => cmd_daily_check(),
        "apply-agent"           => cmd_apply_agent(&args[2..]),
        "digest"                => cmd_digest(&args[2..]),
        "trace"                 => cmd_trace(&args[2..]),
        _ => {
            eprintln!("Unknown command: {}", args[1]);
            usage();
            process::exit(1);
        }
    };

    if let Err(e) = result {
        eprintln!("Error: {}", e);
        process::exit(1);
    }
}

fn usage() {
    eprintln!("poc-memory v0.4.0 — graph-structured memory store

Commands:
  search QUERY [QUERY...]   Search memory (AND logic across terms)
  init                      Scan markdown files, index all memory units
  migrate                   Migrate from old weights.json system
  health                    Report graph metrics (CC, communities, small-world)
  status                    Summary of memory state
  graph                     Show graph structure overview
  used KEY                  Mark a memory as useful (boosts weight)
  wrong KEY [CONTEXT]       Mark a memory as wrong/irrelevant
  gap DESCRIPTION           Record a gap in memory coverage
  categorize KEY CATEGORY   Reassign category (core/tech/gen/obs/task)
  decay                     Apply daily weight decay
  consolidate-batch [--count N] [--auto]
                            Run agent consolidation on priority nodes
  log                       Show recent retrieval log
  params                    Show current parameters
  link N                    Interactive graph walk from search result N
  replay-queue [--count N]  Show spaced repetition replay queue
  interference [--threshold F]
                            Detect potentially confusable memory pairs
  link-add SOURCE TARGET [REASON]
                            Add a link between two nodes
  link-impact SOURCE TARGET Simulate adding an edge, report topology impact
  consolidate-session       Analyze metrics, plan agent allocation
  daily-check               Brief metrics check (for cron/notifications)
  apply-agent [--all]       Import pending agent results into the graph
  digest daily [DATE]       Generate daily episodic digest (default: today)
  digest weekly [DATE]      Generate weekly digest (any date in target week)
  trace KEY                 Walk temporal links: semantic ↔ episodic ↔ conversation");
}

fn cmd_search(args: &[String]) -> Result<(), String> {
    if args.is_empty() {
        return Err("Usage: poc-memory search QUERY [QUERY...]".into());
    }
    let query = args.join(" ");
    let mut store = capnp_store::Store::load()?;
    let results = search::search(&query, &store);

    if results.is_empty() {
        eprintln!("No results for '{}'", query);
        return Ok(());
    }

    // Log retrieval
    store.log_retrieval(&query, &results.iter().map(|r| r.key.clone()).collect::<Vec<_>>());
    store.save()?;

    for (i, r) in results.iter().enumerate().take(15) {
        let marker = if r.is_direct { "→" } else { " " };
        let weight = store.node_weight(&r.key).unwrap_or(0.0);
        print!("{}{:2}. [{:.2}/{:.2}] {}", marker, i + 1, r.activation, weight, r.key);
        if let Some(community) = store.node_community(&r.key) {
            print!("  (c{})", community);
        }
        println!();
        if let Some(ref snippet) = r.snippet {
            println!("         {}", snippet);
        }
    }
    Ok(())
}

fn cmd_init() -> Result<(), String> {
    let mut store = capnp_store::Store::load()?;
    let count = store.init_from_markdown()?;
    store.save()?;
    println!("Indexed {} memory units", count);
    Ok(())
}

fn cmd_migrate() -> Result<(), String> {
    migrate::migrate()
}

fn cmd_health() -> Result<(), String> {
    let store = capnp_store::Store::load()?;
    let g = store.build_graph();
    let health = graph::health_report(&g, &store);
    println!("{}", health);
    Ok(())
}

fn cmd_status() -> Result<(), String> {
    let store = capnp_store::Store::load()?;
    let node_count = store.nodes.len();
    let rel_count = store.relations.len();
    let categories = store.category_counts();

    println!("Nodes: {}  Relations: {}", node_count, rel_count);
    println!("Categories: core={} tech={} gen={} obs={} task={}",
        categories.get("core").unwrap_or(&0),
        categories.get("tech").unwrap_or(&0),
        categories.get("gen").unwrap_or(&0),
        categories.get("obs").unwrap_or(&0),
        categories.get("task").unwrap_or(&0),
    );

    let g = store.build_graph();
    println!("Graph edges: {}  Communities: {}",
        g.edge_count(), g.community_count());
    Ok(())
}

fn cmd_graph() -> Result<(), String> {
    let store = capnp_store::Store::load()?;
    let g = store.build_graph();

    // Show top-10 highest degree nodes
    let mut degrees: Vec<_> = g.nodes().iter()
        .map(|k| (k.clone(), g.degree(k)))
        .collect();
    degrees.sort_by(|a, b| b.1.cmp(&a.1));

    println!("Top nodes by degree:");
    for (key, deg) in degrees.iter().take(10) {
        let cc = g.clustering_coefficient(key);
        println!("  {:40} deg={:3} cc={:.3}", key, deg, cc);
    }
    Ok(())
}

fn cmd_used(args: &[String]) -> Result<(), String> {
    if args.is_empty() {
        return Err("Usage: poc-memory used KEY".into());
    }
    let key = args.join(" ");
    let mut store = capnp_store::Store::load()?;
    let resolved = store.resolve_key(&key)?;
    store.mark_used(&resolved);
    store.save()?;
    println!("Marked '{}' as used", resolved);
    Ok(())
}

fn cmd_wrong(args: &[String]) -> Result<(), String> {
    if args.is_empty() {
        return Err("Usage: poc-memory wrong KEY [CONTEXT]".into());
    }
    let key = &args[0];
    let ctx = if args.len() > 1 { Some(args[1..].join(" ")) } else { None };
    let mut store = capnp_store::Store::load()?;
    let resolved = store.resolve_key(key)?;
    store.mark_wrong(&resolved, ctx.as_deref());
    store.save()?;
    println!("Marked '{}' as wrong", resolved);
    Ok(())
}

fn cmd_gap(args: &[String]) -> Result<(), String> {
    if args.is_empty() {
        return Err("Usage: poc-memory gap DESCRIPTION".into());
    }
    let desc = args.join(" ");
    let mut store = capnp_store::Store::load()?;
    store.record_gap(&desc);
    store.save()?;
    println!("Recorded gap: {}", desc);
    Ok(())
}

fn cmd_categorize(args: &[String]) -> Result<(), String> {
    if args.len() < 2 {
        return Err("Usage: poc-memory categorize KEY CATEGORY".into());
    }
    let key = &args[0];
    let cat = &args[1];
    let mut store = capnp_store::Store::load()?;
    let resolved = store.resolve_key(key)?;
    store.categorize(&resolved, cat)?;
    store.save()?;
    println!("Set '{}' category to {}", resolved, cat);
    Ok(())
}

fn cmd_decay() -> Result<(), String> {
    let mut store = capnp_store::Store::load()?;
    let (decayed, pruned) = store.decay();
    store.save()?;
    println!("Decayed {} nodes, pruned {} below threshold", decayed, pruned);
    Ok(())
}

fn cmd_consolidate_batch(args: &[String]) -> Result<(), String> {
    let mut count = 5usize;
    let mut auto = false;
    let mut agent: Option<String> = None;
    let mut i = 0;
    while i < args.len() {
        match args[i].as_str() {
            "--count" if i + 1 < args.len() => {
                count = args[i + 1].parse().map_err(|_| "invalid count")?;
                i += 2;
            }
            "--auto" => { auto = true; i += 1; }
            "--agent" if i + 1 < args.len() => {
                agent = Some(args[i + 1].clone());
                i += 2;
            }
            _ => { i += 1; }
        }
    }

    let store = capnp_store::Store::load()?;

    if let Some(agent_name) = agent {
        // Generate a specific agent prompt
        let prompt = neuro::agent_prompt(&store, &agent_name, count)?;
        println!("{}", prompt);
        Ok(())
    } else {
        neuro::consolidation_batch(&store, count, auto)
    }
}

fn cmd_log() -> Result<(), String> {
    let store = capnp_store::Store::load()?;
    for event in store.retrieval_log.iter().rev().take(20) {
        println!("[{}] q=\"{}\" → {} results",
            event.timestamp, event.query, event.results.len());
        for r in &event.results {
            println!("    {}", r);
        }
    }
    Ok(())
}

fn cmd_params() -> Result<(), String> {
    let store = capnp_store::Store::load()?;
    println!("decay_factor:    {}", store.params.decay_factor);
    println!("use_boost:       {}", store.params.use_boost);
    println!("prune_threshold: {}", store.params.prune_threshold);
    println!("edge_decay:      {}", store.params.edge_decay);
    println!("max_hops:        {}", store.params.max_hops);
    println!("min_activation:  {}", store.params.min_activation);
    Ok(())
}

fn cmd_link(args: &[String]) -> Result<(), String> {
    if args.is_empty() {
        return Err("Usage: poc-memory link KEY".into());
    }
    let key = args.join(" ");
    let store = capnp_store::Store::load()?;
    let resolved = store.resolve_key(&key)?;
    let g = store.build_graph();

    println!("Neighbors of '{}':", resolved);
    let neighbors = g.neighbors(&resolved);
    for (i, (n, strength)) in neighbors.iter().enumerate() {
        let cc = g.clustering_coefficient(n);
        println!("  {:2}. [{:.2}] {} (cc={:.3})", i + 1, strength, n, cc);
    }
    Ok(())
}

fn cmd_replay_queue(args: &[String]) -> Result<(), String> {
    let mut count = 10usize;
    let mut i = 0;
    while i < args.len() {
        match args[i].as_str() {
            "--count" if i + 1 < args.len() => {
                count = args[i + 1].parse().map_err(|_| "invalid count")?;
                i += 2;
            }
            _ => { i += 1; }
        }
    }
    let store = capnp_store::Store::load()?;
    let queue = neuro::replay_queue(&store, count);
    println!("Replay queue ({} items):", queue.len());
    for (i, item) in queue.iter().enumerate() {
        println!("  {:2}. [{:.3}] {} (interval={}d, emotion={:.1})",
            i + 1, item.priority, item.key, item.interval_days, item.emotion);
    }
    Ok(())
}

fn cmd_consolidate_session() -> Result<(), String> {
    let store = capnp_store::Store::load()?;
    let plan = neuro::consolidation_plan(&store);
    println!("{}", neuro::format_plan(&plan));
    Ok(())
}

fn cmd_daily_check() -> Result<(), String> {
    let store = capnp_store::Store::load()?;
    let report = neuro::daily_check(&store);
    print!("{}", report);
    Ok(())
}

fn cmd_link_add(args: &[String]) -> Result<(), String> {
    if args.len() < 2 {
        return Err("Usage: poc-memory link-add SOURCE TARGET [REASON]".into());
    }
    let mut store = capnp_store::Store::load()?;
    let source = store.resolve_key(&args[0])?;
    let target = store.resolve_key(&args[1])?;
    let reason = if args.len() > 2 { args[2..].join(" ") } else { String::new() };

    // Find UUIDs
    let source_uuid = store.nodes.get(&source)
        .map(|n| n.uuid)
        .ok_or_else(|| format!("source not found: {}", source))?;
    let target_uuid = store.nodes.get(&target)
        .map(|n| n.uuid)
        .ok_or_else(|| format!("target not found: {}", target))?;

    // Check if link already exists
    let exists = store.relations.iter().any(|r|
        r.source_key == source && r.target_key == target && !r.deleted
    );
    if exists {
        println!("Link already exists: {} → {}", source, target);
        return Ok(());
    }

    let rel = capnp_store::Store::new_relation(
        source_uuid, target_uuid,
        capnp_store::RelationType::Auto,
        0.5,
        &source, &target,
    );
    store.add_relation(rel)?;
    if !reason.is_empty() {
        println!("+ {} → {} ({})", source, target, reason);
    } else {
        println!("+ {} → {}", source, target);
    }
    Ok(())
}

fn cmd_link_impact(args: &[String]) -> Result<(), String> {
    if args.len() < 2 {
        return Err("Usage: poc-memory link-impact SOURCE TARGET".into());
    }
    let store = capnp_store::Store::load()?;
    let source = store.resolve_key(&args[0])?;
    let target = store.resolve_key(&args[1])?;
    let g = store.build_graph();

    let impact = g.link_impact(&source, &target);

    println!("Link impact: {} → {}", source, target);
    println!("  Source degree: {}  Target degree: {}", impact.source_deg, impact.target_deg);
    println!("  Hub link: {}  Same community: {}", impact.is_hub_link, impact.same_community);
    println!("  ΔCC source: {:+.4}  ΔCC target: {:+.4}", impact.delta_cc_source, impact.delta_cc_target);
    println!("  ΔGini: {:+.6}", impact.delta_gini);
    println!("  Assessment: {}", impact.assessment);
    Ok(())
}

fn cmd_apply_agent(args: &[String]) -> Result<(), String> {
    let home = env::var("HOME").unwrap_or_default();
    let results_dir = std::path::PathBuf::from(&home)
        .join(".claude/memory/agent-results");

    if !results_dir.exists() {
        println!("No agent results directory");
        return Ok(());
    }

    let mut store = capnp_store::Store::load()?;
    let mut applied = 0;
    let mut errors = 0;

    let process_all = args.iter().any(|a| a == "--all");

    // Find .json result files
    let mut files: Vec<_> = std::fs::read_dir(&results_dir)
        .map_err(|e| format!("read results dir: {}", e))?
        .filter_map(|e| e.ok())
        .filter(|e| e.path().extension().map(|x| x == "json").unwrap_or(false))
        .collect();
    files.sort_by_key(|e| e.path());

    for entry in &files {
        let path = entry.path();
        let content = match std::fs::read_to_string(&path) {
            Ok(c) => c,
            Err(e) => {
                eprintln!("  Skip {}: {}", path.display(), e);
                errors += 1;
                continue;
            }
        };

        let data: serde_json::Value = match serde_json::from_str(&content) {
            Ok(d) => d,
            Err(e) => {
                eprintln!("  Skip {}: parse error: {}", path.display(), e);
                errors += 1;
                continue;
            }
        };

        // Check for agent_result with links
        let agent_result = data.get("agent_result").or(Some(&data));
        let links = match agent_result.and_then(|r| r.get("links")).and_then(|l| l.as_array()) {
            Some(l) => l,
            None => continue,
        };

        let entry_text = data.get("entry_text")
            .and_then(|v| v.as_str())
            .unwrap_or("");
        let source_start = agent_result
            .and_then(|r| r.get("source_start"))
            .and_then(|v| v.as_u64());
        let source_end = agent_result
            .and_then(|r| r.get("source_end"))
            .and_then(|v| v.as_u64());

        println!("Processing {}:", path.file_name().unwrap().to_string_lossy());
        if let (Some(start), Some(end)) = (source_start, source_end) {
            println!("  Source: L{}-L{}", start, end);
        }

        for link in links {
            let target = match link.get("target").and_then(|v| v.as_str()) {
                Some(t) => t,
                None => continue,
            };
            let reason = link.get("reason").and_then(|v| v.as_str()).unwrap_or("");

            // Skip NOTE: targets (new topics, not existing nodes)
            if target.starts_with("NOTE:") {
                println!("  NOTE: {} — {}", &target[5..], reason);
                continue;
            }

            // Try to resolve the target key and link from journal entry
            let resolved = match store.resolve_key(target) {
                Ok(r) => r,
                Err(_) => {
                    println!("  SKIP {} (not found in graph)", target);
                    continue;
                }
            };

            let source_key = match find_journal_node(&store, entry_text) {
                Some(k) => k,
                None => {
                    println!("  SKIP {} (no matching journal node)", target);
                    continue;
                }
            };

            // Get UUIDs for both nodes
            let source_uuid = match store.nodes.get(&source_key) {
                Some(n) => n.uuid,
                None => continue,
            };
            let target_uuid = match store.nodes.get(&resolved) {
                Some(n) => n.uuid,
                None => continue,
            };

            let rel = capnp_store::Store::new_relation(
                source_uuid, target_uuid,
                capnp_store::RelationType::Link,
                0.5,
                &source_key, &resolved,
            );
            if let Err(e) = store.add_relation(rel) {
                eprintln!("  Error adding relation: {}", e);
                errors += 1;
            } else {
                println!("  LINK {} → {} ({})", source_key, resolved, reason);
                applied += 1;
            }
        }

        // Move processed file to avoid re-processing
        if !process_all {
            let done_dir = results_dir.join("done");
            std::fs::create_dir_all(&done_dir).ok();
            let dest = done_dir.join(path.file_name().unwrap());
            std::fs::rename(&path, &dest).ok();
        }
    }

    if applied > 0 {
        store.save()?;
    }

    println!("\nApplied {} links ({} errors, {} files processed)",
        applied, errors, files.len());
    Ok(())
}

/// Find the journal node that best matches the given entry text
fn find_journal_node(store: &capnp_store::Store, entry_text: &str) -> Option<String> {
    if entry_text.is_empty() {
        return None;
    }

    // Extract keywords from entry text
    let words: Vec<&str> = entry_text.split_whitespace()
        .filter(|w| w.len() > 5)
        .take(5)
        .collect();

    // Find journal nodes whose content matches the most keywords
    let mut best_key = None;
    let mut best_score = 0;

    for (key, node) in &store.nodes {
        if !key.starts_with("journal.md#") {
            continue;
        }
        let content_lower = node.content.to_lowercase();
        let score: usize = words.iter()
            .filter(|w| content_lower.contains(&w.to_lowercase()))
            .count();
        if score > best_score {
            best_score = score;
            best_key = Some(key.clone());
        }
    }

    best_key
}

fn cmd_digest(args: &[String]) -> Result<(), String> {
    if args.is_empty() {
        return Err("Usage: poc-memory digest daily [DATE] | weekly [DATE]".into());
    }

    let home = env::var("HOME").unwrap_or_default();
    let scripts_dir = std::path::PathBuf::from(&home).join("poc/memory/scripts");

    match args[0].as_str() {
        "daily" => {
            let mut cmd = std::process::Command::new("python3");
            cmd.arg(scripts_dir.join("daily-digest.py"));
            if args.len() > 1 {
                cmd.arg(&args[1]);
            }
            // Unset CLAUDECODE for nested claude calls
            cmd.env_remove("CLAUDECODE");
            let status = cmd.status()
                .map_err(|e| format!("run daily-digest.py: {}", e))?;
            if !status.success() {
                return Err("daily-digest.py failed".into());
            }
            Ok(())
        }
        "weekly" => {
            let mut cmd = std::process::Command::new("python3");
            cmd.arg(scripts_dir.join("weekly-digest.py"));
            if args.len() > 1 {
                cmd.arg(&args[1]);
            }
            cmd.env_remove("CLAUDECODE");
            let status = cmd.status()
                .map_err(|e| format!("run weekly-digest.py: {}", e))?;
            if !status.success() {
                return Err("weekly-digest.py failed".into());
            }
            Ok(())
        }
        _ => Err(format!("Unknown digest type: {}. Use: daily, weekly", args[0])),
    }
}

fn cmd_trace(args: &[String]) -> Result<(), String> {
    if args.is_empty() {
        return Err("Usage: poc-memory trace KEY".into());
    }
    let key = args.join(" ");
    let store = capnp_store::Store::load()?;
    let resolved = store.resolve_key(&key)?;
    let g = store.build_graph();

    let node = store.nodes.get(&resolved)
        .ok_or_else(|| format!("Node not found: {}", resolved))?;

    // Display the node itself
    println!("=== {} ===", resolved);
    println!("Type: {:?}  Category: {}  Weight: {:.2}",
        node.node_type, node.category.label(), node.weight);
    if !node.source_ref.is_empty() {
        println!("Source: {}", node.source_ref);
    }

    // Show content preview
    let preview = if node.content.len() > 200 {
        let end = node.content.floor_char_boundary(200);
        format!("{}...", &node.content[..end])
    } else {
        node.content.clone()
    };
    println!("\n{}\n", preview);

    // Walk neighbors, grouped by node type
    let neighbors = g.neighbors(&resolved);
    let mut episodic_session = Vec::new();
    let mut episodic_daily = Vec::new();
    let mut episodic_weekly = Vec::new();
    let mut semantic = Vec::new();

    for (n, strength) in &neighbors {
        if let Some(nnode) = store.nodes.get(n.as_str()) {
            match nnode.node_type {
                capnp_store::NodeType::EpisodicSession =>
                    episodic_session.push((n.clone(), *strength, nnode)),
                capnp_store::NodeType::EpisodicDaily =>
                    episodic_daily.push((n.clone(), *strength, nnode)),
                capnp_store::NodeType::EpisodicWeekly =>
                    episodic_weekly.push((n.clone(), *strength, nnode)),
                capnp_store::NodeType::Semantic =>
                    semantic.push((n.clone(), *strength, nnode)),
            }
        }
    }

    if !episodic_weekly.is_empty() {
        println!("Weekly digests:");
        for (k, s, n) in &episodic_weekly {
            let preview = n.content.lines().next().unwrap_or("").chars().take(80).collect::<String>();
            println!("  [{:.2}] {} — {}", s, k, preview);
        }
    }

    if !episodic_daily.is_empty() {
        println!("Daily digests:");
        for (k, s, n) in &episodic_daily {
            let preview = n.content.lines().next().unwrap_or("").chars().take(80).collect::<String>();
            println!("  [{:.2}] {} — {}", s, k, preview);
        }
    }

    if !episodic_session.is_empty() {
        println!("Session entries:");
        for (k, s, n) in &episodic_session {
            let preview = n.content.lines()
                .find(|l| !l.is_empty() && !l.starts_with("<!--"))
                .unwrap_or("").chars().take(80).collect::<String>();
            println!("  [{:.2}] {}", s, k);
            if !n.source_ref.is_empty() {
                println!("         ↳ source: {}", n.source_ref);
            }
            println!("         {}", preview);
        }
    }

    if !semantic.is_empty() {
        println!("Semantic links:");
        for (k, s, _) in &semantic {
            println!("  [{:.2}] {}", s, k);
        }
    }

    // Summary
    println!("\nLinks: {} session, {} daily, {} weekly, {} semantic",
        episodic_session.len(), episodic_daily.len(),
        episodic_weekly.len(), semantic.len());

    Ok(())
}

fn cmd_interference(args: &[String]) -> Result<(), String> {
    let mut threshold = 0.4f32;
    let mut i = 0;
    while i < args.len() {
        match args[i].as_str() {
            "--threshold" if i + 1 < args.len() => {
                threshold = args[i + 1].parse().map_err(|_| "invalid threshold")?;
                i += 2;
            }
            _ => { i += 1; }
        }
    }
    let store = capnp_store::Store::load()?;
    let g = store.build_graph();
    let pairs = neuro::detect_interference(&store, &g, threshold);

    if pairs.is_empty() {
        println!("No interfering pairs above threshold {:.2}", threshold);
    } else {
        println!("Interfering pairs (similarity > {:.2}, different communities):", threshold);
        for (a, b, sim) in &pairs {
            println!("  [{:.3}] {} ↔ {}", sim, a, b);
        }
    }
    Ok(())
}