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burncloud_core/
model_manager.rs

1use anyhow::Result;
2use burncloud_common::{BurnCloudError, ModelInfo};
3use std::collections::HashMap;
4
5pub struct ModelManager {
6    models: HashMap<String, ModelInfo>,
7    models_dir: String,
8}
9
10impl ModelManager {
11    pub fn new(models_dir: String) -> Self {
12        Self {
13            models: HashMap::new(),
14            models_dir,
15        }
16    }
17
18    pub async fn pull_model(&mut self, name: &str) -> Result<()> {
19        println!("正在下载模型: {}", name);
20
21        // 模拟下载过程
22        tokio::time::sleep(tokio::time::Duration::from_secs(1)).await;
23
24        let model_info = ModelInfo {
25            name: name.to_string(),
26            size: 1024 * 1024 * 100, // 100MB 示例
27            downloaded: true,
28            path: Some(format!("{}/{}", self.models_dir, name)),
29        };
30
31        self.models.insert(name.to_string(), model_info);
32        println!("模型 {} 下载完成", name);
33        Ok(())
34    }
35
36    pub async fn run_model(&self, name: &str, prompt: Option<&str>) -> Result<String> {
37        let model = self
38            .models
39            .get(name)
40            .ok_or_else(|| BurnCloudError::ModelNotFound(name.to_string()))?;
41
42        if !model.downloaded {
43            return Err(BurnCloudError::ModelNotFound(format!("模型 {} 未下载", name)).into());
44        }
45
46        println!("正在运行模型: {}", name);
47        if let Some(p) = prompt {
48            println!("输入: {}", p);
49        }
50
51        // 模拟推理
52        tokio::time::sleep(tokio::time::Duration::from_millis(500)).await;
53
54        let response = match name {
55            "llama3.2" => "Hello! I'm Llama 3.2. How can I help you today?",
56            "gemma3" => "Hi there! I'm Gemma 3. What would you like to know?",
57            _ => "I'm a language model. How can I assist you?",
58        };
59
60        Ok(response.to_string())
61    }
62
63    pub fn list_models(&self) -> Vec<&ModelInfo> {
64        self.models.values().collect()
65    }
66
67    pub fn get_model(&self, name: &str) -> Option<&ModelInfo> {
68        self.models.get(name)
69    }
70}