Files
dbx/src-tauri/src/commands/ai.rs
T

190 lines
6.2 KiB
Rust

use std::path::Path;
use std::sync::Arc;
use tauri::{AppHandle, Emitter, State};
use super::connection::AppState;
pub use dbx_core::ai::*;
#[tauri::command]
pub async fn ai_test_connection(config: AiConfig) -> Result<AiTestConnectionResult, String> {
let config = resolve_cli_provider_config(config);
dbx_core::ai::test_connection_core(&config).await
}
#[tauri::command]
pub async fn ai_list_models(config: AiConfig) -> Result<Vec<AiModelInfo>, String> {
let config = resolve_cli_provider_config(config);
dbx_core::ai::list_models_core(&config).await
}
#[tauri::command]
pub async fn save_ai_config(state: State<'_, Arc<AppState>>, config: AiConfig) -> Result<(), String> {
state.storage.save_ai_config(&config).await
}
#[tauri::command]
pub async fn load_ai_config(state: State<'_, Arc<AppState>>) -> Result<Option<AiConfig>, String> {
state.storage.load_ai_config().await
}
#[tauri::command]
pub async fn save_ai_provider_config(
state: State<'_, Arc<AppState>>,
provider: String,
config: AiConfig,
) -> Result<(), String> {
let parsed_provider: AiProvider = serde_json::from_value(serde_json::Value::String(provider.clone()))
.map_err(|_| format!("Invalid AI provider: {provider}"))?;
let mut config = config;
config.provider = parsed_provider;
state.storage.save_ai_provider_config(&provider, &config).await
}
#[tauri::command]
pub async fn load_ai_provider_configs(
state: State<'_, Arc<AppState>>,
) -> Result<std::collections::HashMap<String, AiConfig>, String> {
state.storage.load_ai_provider_configs().await
}
#[tauri::command]
pub async fn ai_complete(request: AiCompletionRequest) -> Result<String, String> {
dbx_core::ai::complete(&request).await
}
#[tauri::command]
pub async fn ai_stream(app: AppHandle, session_id: String, request: AiCompletionRequest) -> Result<(), String> {
let cancelled = dbx_core::ai::register_stream(&session_id).await;
let result = dbx_core::ai::stream(&session_id, &request, &cancelled, |chunk| {
let _ = app.emit("ai-stream-chunk", &chunk);
})
.await;
dbx_core::ai::unregister_stream(&session_id).await;
result
}
use dbx_core::agent_events::AgentEvent;
use dbx_core::agent_loop::{run_agent_loop, AgentLoopContext};
use dbx_core::ai_cli_agent::CliAgentCommandSpec;
use dbx_core::models::connection::DatabaseType;
#[tauri::command]
pub async fn ai_cancel_stream(session_id: String) -> Result<bool, String> {
Ok(dbx_core::ai::cancel_stream(&session_id).await)
}
#[tauri::command]
#[allow(clippy::too_many_arguments)]
pub async fn ai_agent_stream(
app: AppHandle,
state: State<'_, Arc<AppState>>,
session_id: String,
request: AiCompletionRequest,
connection_id: String,
database: String,
db_type: String,
mode: Option<String>,
allow_write_sql: Option<bool>,
) -> Result<String, String> {
let request = resolve_cli_provider_request(request);
let parsed_db_type: DatabaseType =
serde_json::from_str(&format!("\"{}\"", db_type)).map_err(|_| format!("Unknown database type: {db_type}"))?;
let cli_mcp_server_command = if is_cli_provider(&request.config.provider) {
let (program, args) = super::mcp::resolve_mcp_server_command().await?;
Some(CliAgentCommandSpec { program, args })
} else {
None
};
let cancelled = dbx_core::ai::register_stream(&session_id).await;
let production_database = state
.configs
.read()
.await
.get(&connection_id)
.is_some_and(|config| dbx_core::production_safety::is_production_database(config, &database));
let agent_ctx = AgentLoopContext {
state: state.inner().clone(),
connection_id,
database,
db_type: parsed_db_type,
cli_mcp_server_command,
// Explicit confirmation grants write access only to this agent run, never to production.
sql_permissions: dbx_core::agent_tools::AgentSqlPermissions {
allow_writes: !production_database && allow_write_sql.unwrap_or(false),
allow_dangerous: !production_database && allow_write_sql.unwrap_or(false),
},
};
let is_agent_mode = mode.as_deref() == Some("agent");
let result = run_agent_loop(
&request.config,
&request.system_prompt,
&request.messages,
&agent_ctx,
{
let app = app.clone();
move |event: AgentEvent| {
let _ = app.emit("ai-agent-event", &event);
}
},
&cancelled,
request.max_tokens,
request.task_contract.as_ref(),
is_agent_mode,
)
.await;
dbx_core::ai::unregister_stream(&session_id).await;
result
}
fn resolve_cli_provider_request(mut request: AiCompletionRequest) -> AiCompletionRequest {
request.config = resolve_cli_provider_config(request.config);
request
}
fn resolve_cli_provider_config(mut config: AiConfig) -> AiConfig {
let (path_slot, default_command) = match config.provider {
AiProvider::CodexCli => (&mut config.codex_cli_path, "codex"),
AiProvider::ClaudeCodeCli => (&mut config.claude_code_cli_path, "claude"),
_ => return config,
};
let command = path_slot.as_deref().map(str::trim).filter(|path| !path.is_empty()).unwrap_or(default_command);
if is_explicit_cli_path(command) {
return config;
}
if let Some(path) = super::mcp::locate_command(command) {
*path_slot = Some(path);
}
config
}
fn is_cli_provider(provider: &AiProvider) -> bool {
matches!(provider, AiProvider::CodexCli | AiProvider::ClaudeCodeCli)
}
fn is_explicit_cli_path(command: &str) -> bool {
let path = Path::new(command);
path.is_absolute() || command.contains('/') || command.contains('\\')
}
#[tauri::command]
pub async fn save_ai_conversation(state: State<'_, Arc<AppState>>, conversation: AiConversation) -> Result<(), String> {
state.storage.save_ai_conversation(&conversation).await
}
#[tauri::command]
pub async fn load_ai_conversations(state: State<'_, Arc<AppState>>) -> Result<Vec<AiConversation>, String> {
state.storage.load_ai_conversations().await
}
#[tauri::command]
pub async fn delete_ai_conversation(state: State<'_, Arc<AppState>>, id: String) -> Result<(), String> {
state.storage.delete_ai_conversation(&id).await
}