use std::env;
use std::path::PathBuf;
#[tokio::main]
async fn main() {
// CWD is expected to be src-tauri when run via our cargo command below.
let cwd = env::current_dir().expect("failed to get cwd");
let args: Vec<String> = env::args().collect();
let db_path = args
.get(1)
.map(PathBuf::from)
.unwrap_or_else(|| cwd.join("telos.db"));
let vec0_path = args
.get(2)
.map(PathBuf::from)
.unwrap_or_else(|| cwd.join("target").join("debug").join("vec0.dll"));
println!("Using db: {:?}", db_path);
println!("Using vec0 extension: {:?}", vec0_path);
let db_path_str = db_path.to_string_lossy().to_string();
let vec0_path_str = vec0_path.to_string_lossy().to_string();
let dimension = 640; // Default for Gemma-3, or should be dynamic
// Ensure SQLite schema / extension is initialized (creates items and vec_items if missing)
match app_lib::db::initialize_database(&db_path, &vec0_path, dimension).await {
Ok(_) => println!("initialize_database succeeded or schema already present."),
Err(e) => {
eprintln!("initialize_database failed: {:?}", e);
std::process::exit(1);
}
}
// Initialize SQLx pool
let pool = match app_lib::db::init_pool(&db_path_str, vec0_path_str.clone()).await {
Ok(p) => p,
Err(e) => {
eprintln!("Failed to init pool: {:?}", e);
std::process::exit(1);
}
};
// embed_fn: posts to local llama-server embeddings endpoint
let client = reqwest::Client::new();
let embed_fn = move |txt: String| -> std::pin::Pin<
Box<dyn std::future::Future<Output = Result<Vec<f32>, String>> + Send + 'static>,
> {
let client = client.clone();
let s = txt.to_string();
Box::pin(async move {
let payload = serde_json::json!({"input": [s], "model": "default"});
let resp = client
.post("http://127.0.0.1:8080/v1/embeddings")
.json(&payload)
.send()
.await
.map_err(|e| e.to_string())?;
let body = resp.text().await.map_err(|e| e.to_string())?;
let json: serde_json::Value = serde_json::from_str(&body).map_err(|e| e.to_string())?;
let arr = json["data"][0]["embedding"]
.as_array()
.ok_or_else(|| format!("no embedding in response: {}", body))?;
let v: Vec<f32> = arr
.iter()
.map(|v| v.as_f64().unwrap_or(0.0) as f32)
.collect();
Ok(v)
})
};
println!("Starting rebuild_vector_data...");
match app_lib::db::rebuild_vector_data(&pool, dimension, embed_fn).await {
Ok(_) => {
println!("rebuild_vector_data completed successfully.");
}
Err(e) => {
eprintln!("rebuild_vector_data failed: {}", e);
std::process::exit(1);
}
}
}