//! # System Verification Benchmarks
//! 
//! Forensic verification of implemented scaling features.

use moe_core::pipelines::data_pipeline::DataPipeline;
use moe_core::core::model_adapter::albert_1b::Albert1B;
use moe_core::core::model_adapter::trit_attention::TritAttention;
use moe_core::inference::agentic_bridge::AgenticInferenceBridge;
use moe_core::training::governance::GovernanceManifest;
use std::collections::HashMap;
use std::path::PathBuf;
use std::time::Instant;
use anyhow::Result;

#[tokio::main]
async fn main() -> Result<()> {
    println!("--- Forensic System Verification ---");

    // 1. Data Pipeline Prefetch Verification
    println!("\n[1] Verifying Async Data Pipeline Prefetch...");
    let pipeline = DataPipeline::new(1024 * 1024);
    // Create 5 dummy shard files
    std::fs::create_dir_all("./data/test_shards")?;
    let mut paths = Vec::new();
    for i in 0..5 {
        let p = format!("./data/test_shards/shard_{}.shard", i);
        std::fs::write(&p, vec![b'A'; 1024 * 512])?;
        paths.push(PathBuf::from(p));
    }
    
    let start = Instant::now();
    let mut rx = pipeline.start_prefetch_loop(paths);
    let mut count = 0;
    while let Some(res) = rx.recv().await {
        let _data = res?;
        count += 1;
    }
    println!("Prefetched {} shards in {:?}", count, start.elapsed());

    // 2. Model Scaling Memory Footprint
    println!("\n[2] Estimating 1B+ Model Memory Footprint...");
    let model = Albert1B::new();
    let weight_count = model.layers * model.embedding.dim * 64;
    println!("Architecture: {} Layers, 64 Experts, {} Dim", model.layers, model.embedding.dim);
    println!("Total Ternary Parameters: ~{} Million", weight_count / 1_000_000);
    println!("Estimated Weight Memory: ~{} MB", weight_count / (1024 * 1024));

    // 3. TritAttention Verification
    println!("\n[3] Verifying TritAttention Causal Masking...");
    let attn = TritAttention::new(128, true);
    let q = vec![1i8; 128];
    let k = vec![1i8; 128];
    let v = vec![1i8; 128];
    let start = Instant::now();
    let out = attn.forward(&q, &k, &v, 10);
    println!("Attention Forward (seq_len=10) took {:?}", start.elapsed());
    println!("Output size: {}", out.len());

    // 4. Inference Bridge Simulation
    println!("\n[4] Verifying Inference Bridge...");
    let bridge = AgenticInferenceBridge::new(8080);
    bridge.start_server().await?;
    // handler is an axum route fn — hit it over HTTP
    let client = reqwest::Client::new();
    let resp = client
        .post("http://127.0.0.1:8080/infer")
        .json(&serde_json::json!({ "prompt": "Verify system" }))
        .send().await?
        .text().await?;
    println!("Response: {}", resp);

    // 5. Governance Ledger Streaming
    println!("\n[5] Verifying Governance Audit Ledger...");
    let manifest = GovernanceManifest::new("copernicus-v1", "test-bible", HashMap::new());
    manifest.stream_to_ledger()?;
    println!("Audit ledger stream completed.");

    println!("\n--- Verification Complete ---");
    Ok(())
}
