burncloud-core 0.1.0

use burncloud_common::{ModelInfo, BurnCloudError};
use anyhow::Result;
use std::collections::HashMap;

pub struct ModelManager {
    models: HashMap<String, ModelInfo>,
    models_dir: String,
}

impl ModelManager {
    pub fn new(models_dir: String) -> Self {
        Self {
            models: HashMap::new(),
            models_dir,
        }
    }

    pub async fn pull_model(&mut self, name: &str) -> Result<()> {
        println!("正在下载模型: {}", name);

        // 模拟下载过程
        tokio::time::sleep(tokio::time::Duration::from_secs(1)).await;

        let model_info = ModelInfo {
            name: name.to_string(),
            size: 1024 * 1024 * 100, // 100MB 示例
            downloaded: true,
            path: Some(format!("{}/{}", self.models_dir, name)),
        };

        self.models.insert(name.to_string(), model_info);
        println!("模型 {} 下载完成", name);
        Ok(())
    }

    pub async fn run_model(&self, name: &str, prompt: Option<&str>) -> Result<String> {
        let model = self.models.get(name)
            .ok_or_else(|| BurnCloudError::ModelNotFound(name.to_string()))?;

        if !model.downloaded {
            return Err(BurnCloudError::ModelNotFound(format!("模型 {} 未下载", name)).into());
        }

        println!("正在运行模型: {}", name);
        if let Some(p) = prompt {
            println!("输入: {}", p);
        }

        // 模拟推理
        tokio::time::sleep(tokio::time::Duration::from_millis(500)).await;

        let response = match name {
            "llama3.2" => "Hello! I'm Llama 3.2. How can I help you today?",
            "gemma3" => "Hi there! I'm Gemma 3. What would you like to know?",
            _ => "I'm a language model. How can I assist you?",
        };

        Ok(response.to_string())
    }

    pub fn list_models(&self) -> Vec<&ModelInfo> {
        self.models.values().collect()
    }

    pub fn get_model(&self, name: &str) -> Option<&ModelInfo> {
        self.models.get(name)
    }
}