kandil_code 2.1.1

use crate::config::layered::ModelConfig;
use crate::errors::LocalModelError;
use crate::models::catalog::MODEL_CATALOG;
use std::path::PathBuf;

// Placeholder struct that will be updated once candle implementation is ready
pub struct LocalLLMAdapter {
    model_path: PathBuf,
    config: ModelConfig,
    context_size: usize,
    threads: usize,
}

impl LocalLLMAdapter {
    pub async fn load(spec_name: &str, config: &ModelConfig) -> Result<Self, LocalModelError> {
        let spec = MODEL_CATALOG
            .iter()
            .find(|model| model.name == spec_name)
            .ok_or_else(|| LocalModelError::ModelNotFound {
                name: spec_name.to_string(),
            })?;

        let model_path = match &config.path {
            Some(path) => path.join(&spec.filename),
            None => {
                // Default to a models directory in user's home
                let mut path = dirs::data_dir()
                    .unwrap_or_else(|| std::env::current_dir().unwrap())
                    .join("kandil")
                    .join("models");
                std::fs::create_dir_all(&path)
                    .map_err(|e| LocalModelError::IoError { source: e })?;
                path.join(&spec.filename)
            }
        };

        if !model_path.exists() {
            return Err(LocalModelError::ConfigurationError {
                message: format!(
                    "Model not found at {:?}. Run `kandil model install {}`",
                    model_path, spec.name
                ),
            });
        }

        Ok(Self {
            model_path,
            config: config.clone(),
            context_size: config.context_size,
            threads: config.threads.unwrap_or(4),
        })
    }

    pub async fn default() -> Result<Self, LocalModelError> {
        // Load the default model based on hardware
        use crate::core::auto_config::AutoConfig;
        use crate::core::hardware::detect_hardware;

        let hardware = detect_hardware();
        let auto_config = AutoConfig::from_hardware(&hardware);

        Self::load(&auto_config.model.name, &auto_config.model).await
    }
}

#[async_trait::async_trait]
impl crate::common::traits::AIProvider for LocalLLMAdapter {
    async fn complete(&self, prompt: &str) -> Result<String, LocalModelError> {
        // Placeholder implementation for now - in a real implementation,
        // this would use candle-core or candle-transformers to load and run the model
        // For now, return a descriptive message
        Ok(format!("Local model response for prompt: {}", prompt))
    }

    async fn is_available(&self) -> bool {
        // Local model is available if file exists
        self.model_path.exists()
    }

    async fn name(&self) -> String {
        self.config.name.clone()
    }
}