burncloud_core/
model_manager.rs1use 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 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, 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 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}