//! # Production Training Harness
//! 
//! High-level training harness for deploying and orchestrating
//! Albert-1B training runs across distributed compute clusters.

use crate::core::model_adapter::albert_1b::Albert1B;
use crate::training::controller::TrainingController;
use crate::training::config::TrainingConfig;
use anyhow::Result;
use std::path::Path;

pub struct TrainingHarness {
    pub model: Albert1B,
    pub controller: TrainingController,
    pub config: TrainingConfig,
}

impl TrainingHarness {
    pub fn new(model: Albert1B, controller: TrainingController, config: TrainingConfig) -> Self {
        Self { model, controller, config }
    }

    /// Entry point for production training execution.
    pub async fn execute_run(&self, dataset_path: &Path) -> Result<()> {
        println!("Launching production training run for Albert-1B...");
        
        for epoch in 0..100 {
            self.controller.run_epoch(epoch, dataset_path).await?;
        }
        
        println!("Run completed successfully.");
        Ok(())
    }
}
