feat(backend): implement Phase 1 of Intelligence Layer Migration
- Add SQLite-based persistent memory storage (persistent.rs) - Create memory persistence Tauri commands (memory_commands.rs) - Add sqlx dependency to Cargo.toml for SQLite support - Update memory module to export new persistent types - Register memory commands in Tauri invoke handler - Add comprehensive migration plan document Phase 1 delivers: - PersistentMemory struct with SQLite storage - MemoryStoreState for Tauri state management - 10 memory commands: init, store, get, search, delete, delete_all, stats, export, import, db_path - Full-text search capability - Cross-session memory retention Reference: docs/plans/INTELLIGENCE-LAYER-MIGRATION.md Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
iven
376
desktop/src-tauri/src/memory/persistent.rs
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376
desktop/src-tauri/src/memory/persistent.rs
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//! Persistent Memory Storage - SQLite-backed memory for ZCLAW
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//!
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//! This module provides persistent storage for agent memories,
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//! enabling cross-session memory retention and multi-device synchronization.
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//!
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//! Phase 1 of Intelligence Layer Migration:
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//! - Replaces localStorage with SQLite
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//! - Provides memory persistence API
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//! - Enables data migration from frontend
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use serde::{Deserialize, Serialize};
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use std::path::PathBuf;
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use std::sync::Arc;
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use tokio::sync::Mutex;
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use uuid::Uuid;
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use chrono::{DateTime, Utc};
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/// Memory entry stored in SQLite
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct PersistentMemory {
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pub id: String,
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pub agent_id: String,
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pub memory_type: String,
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pub content: String,
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pub importance: i32,
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pub source: String,
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pub tags: String, // JSON array stored as string
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pub conversation_id: Option<String>,
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pub created_at: String,
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pub last_accessed_at: String,
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pub access_count: i32,
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pub embedding: Option<Vec<u8>>, // Vector embedding for semantic search
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}
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/// Memory search options
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#[derive(Debug, Clone)]
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pub struct MemorySearchQuery {
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pub agent_id: Option<String>,
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pub memory_type: Option<String>,
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pub tags: Option<Vec<String>>,
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pub query: Option<String>,
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pub min_importance: Option<i32>,
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pub limit: Option<usize>,
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pub offset: Option<usize>,
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}
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/// Memory statistics
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#[derive(Debug, Clone, Serialize)]
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pub struct MemoryStats {
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pub total_entries: i64,
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pub by_type: std::collections::HashMap<String, i64>,
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pub by_agent: std::collections::HashMap<String, i64>,
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pub oldest_entry: Option<String>,
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pub newest_entry: Option<String>,
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pub storage_size_bytes: i64,
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}
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/// Persistent memory store backed by SQLite
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pub struct PersistentMemoryStore {
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path: PathBuf,
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conn: Arc<Mutex<sqlx::SqliteConnection>>,
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}
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impl PersistentMemoryStore {
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/// Create a new persistent memory store
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pub async fn new(app_handle: &tauri::AppHandle) -> Result<Self, String> {
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let app_dir = app_handle
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.path()
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.app_data_dir()
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.map_err(|e| format!("Failed to get app data dir: {}", e))?;
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let memory_dir = app_dir.join("memory");
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std::fs::create_dir_all(&memory_dir)
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.map_err(|e| format!("Failed to create memory dir: {}", e))?;
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let db_path = memory_dir.join("memories.db");
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Self::open(db_path).await
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}
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/// Open an existing memory store
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pub async fn open(path: PathBuf) -> Result<Self, String> {
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let conn = sqlx::sqlite::SqliteConnectOptions::new()
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.filename(&path)
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.create_if_missing(true)
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.connect(sqlx::sqlite::SqliteConnectOptions::path)
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.await
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.map_err(|e| format!("Failed to open database: {}", e))?;
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let conn = Arc::new(Mutex::new(conn));
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let store = Self { path, conn };
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// Initialize database schema
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store.init_schema().await?;
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Ok(store)
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}
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/// Initialize the database schema
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async fn init_schema(&self) -> Result<(), String> {
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let conn = self.conn.lock().await;
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sqlx::query(
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r#"
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CREATE TABLE IF NOT EXISTS memories (
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id TEXT PRIMARY KEY,
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agent_id TEXT NOT NULL,
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memory_type TEXT NOT NULL,
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content TEXT NOT NULL,
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importance INTEGER DEFAULT 5,
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source TEXT DEFAULT 'auto',
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tags TEXT DEFAULT '[]',
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conversation_id TEXT,
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created_at TEXT NOT NULL,
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last_accessed_at TEXT NOT NULL,
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access_count INTEGER DEFAULT 0,
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embedding BLOB
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);
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CREATE INDEX IF NOT EXISTS idx_agent_id ON memories(agent_id);
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CREATE INDEX IF NOT EXISTS idx_memory_type ON memories(memory_type);
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CREATE INDEX IF NOT EXISTS idx_created_at ON memories(created_at);
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CREATE INDEX IF NOT EXISTS idx_importance ON memories(importance);
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"#,
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)
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.execute(&*conn)
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.await
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.map_err(|e| format!("Failed to create schema: {}", e))?;
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Ok(())
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}
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/// Store a new memory
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pub async fn store(&self, memory: &PersistentMemory) -> Result<(), String> {
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let conn = self.conn.lock().await;
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sqlx::query(
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r#"
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INSERT INTO memories (
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id, agent_id, memory_type, content, importance, source,
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tags, conversation_id, created_at, last_accessed_at,
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access_count, embedding
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) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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"#,
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)
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.bind(&memory.id)
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.bind(&memory.agent_id)
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.bind(&memory.memory_type)
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.bind(&memory.content)
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.bind(memory.importance)
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.bind(&memory.source)
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.bind(&memory.tags)
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.bind(&memory.conversation_id)
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.bind(&memory.created_at)
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.bind(&memory.last_accessed_at)
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.bind(memory.access_count)
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.bind(&memory.embedding)
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.execute(&*conn)
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.await
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.map_err(|e| format!("Failed to store memory: {}", e))?;
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Ok(())
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}
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/// Get a memory by ID
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pub async fn get(&self, id: &str) -> Result<Option<PersistentMemory>, String> {
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let conn = self.conn.lock().await;
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let result = sqlx::query_as::<_, PersistentMemory>(
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"SELECT * FROM memories WHERE id = ?",
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)
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.bind(id)
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.fetch_optional(&*conn)
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.await
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.map_err(|e| format!("Failed to get memory: {}", e))?;
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// Update access stats if found
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if result.is_some() {
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let now = Utc::now().to_rfc3339();
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sqlx::query(
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"UPDATE memories SET last_accessed_at = ?, access_count = access_count + 1 WHERE id = ?",
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)
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.bind(&now)
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.bind(id)
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.execute(&*conn)
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.await
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.ok();
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}
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Ok(result)
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}
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/// Search memories
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pub async fn search(&self, query: MemorySearchQuery) -> Result<Vec<PersistentMemory>, String> {
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let conn = self.conn.lock().await;
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let mut sql = String::from("SELECT * FROM memories WHERE 1=1");
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let mut bindings: Vec<Box<dyn sqlx::Encode + sqlx::Type<_>>> = Vec::new();
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if let Some(agent_id) = &query.agent_id {
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sql.push_str(" AND agent_id = ?");
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bindings.push(Box::new(agent_id.to_string()));
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}
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if let Some(memory_type) = &query.memory_type {
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sql.push_str(" AND memory_type = ?");
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bindings.push(Box::new(memory_type.to_string()));
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}
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if let Some(min_importance) = &query.min_importance {
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sql.push_str(" AND importance >= ?");
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bindings.push(Box::new(min_importance));
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}
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if let Some(q) = &query.query {
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sql.push_str(" AND content LIKE ?");
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bindings.push(Box::new(format!("%{}%", q)));
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}
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sql.push_str(" ORDER BY importance DESC, created_at DESC");
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if let Some(limit) = &query.limit {
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sql.push_str(&format!(" LIMIT {}", limit));
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}
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if let Some(offset) = &query.offset {
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sql.push_str(&format!(" OFFSET {}", offset));
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}
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let mut query_builder = sqlx::query_as::<_, PersistentMemory>(&sql);
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for binding in bindings {
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query_builder = query_builder.bind(binding);
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}
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let results = query_builder
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.fetch_all(&*conn)
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.await
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.map_err(|e| format!("Failed to search memories: {}", e))?;
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Ok(results)
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}
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/// Delete a memory by ID
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pub async fn delete(&self, id: &str) -> Result<(), String> {
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let conn = self.conn.lock().await;
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sqlx::query("DELETE FROM memories WHERE id = ?")
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.bind(id)
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.execute(&*conn)
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.await
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.map_err(|e| format!("Failed to delete memory: {}", e))?;
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Ok(())
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}
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/// Delete all memories for an agent
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pub async fn delete_all_for_agent(&self, agent_id: &str) -> Result<usize, String> {
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let conn = self.conn.lock().await;
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let result = sqlx::query("DELETE FROM memories WHERE agent_id = ?")
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.bind(agent_id)
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.execute(&*conn)
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.await
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.map_err(|e| format!("Failed to delete agent memories: {}", e))?;
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Ok(result.rows_affected())
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}
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/// Get memory statistics
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pub async fn stats(&self) -> Result<MemoryStats, String> {
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let conn = self.conn.lock().await;
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let total: i64 = sqlx::query_scalar("SELECT COUNT(*) FROM memories")
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.fetch_one(&*conn)
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.await
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.unwrap_or(0);
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let by_type: std::collections::HashMap<String, i64> = sqlx::query_as(
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"SELECT memory_type, COUNT(*) as count FROM memories GROUP BY memory_type",
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)
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.fetch_all(&*conn)
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.await
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.unwrap_or_default()
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.into_iter()
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.map(|(memory_type, count)| (memory_type, count))
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.collect();
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let by_agent: std::collections::HashMap<String, i64> = sqlx::query_as(
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"SELECT agent_id, COUNT(*) as count FROM memories GROUP BY agent_id",
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)
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.fetch_all(&*conn)
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.await
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.unwrap_or_default()
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.into_iter()
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.map(|(agent_id, count)| (agent_id, count))
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.collect();
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let oldest: Option<String> = sqlx::query_scalar(
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"SELECT MIN(created_at) FROM memories",
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)
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.fetch_optional(&*conn)
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.await
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.unwrap_or_default();
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let newest: Option<String> = sqlx::query_scalar(
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"SELECT MAX(created_at) FROM memories",
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)
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.fetch_optional(&*conn)
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.await
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.unwrap_or_default();
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let storage_size: i64 = sqlx::query_scalar(
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"SELECT SUM(LENGTH(content) + LENGTH(tags) + COALESCE(LENGTH(embedding), 0)) FROM memories",
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)
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.fetch_one(&*conn)
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.await
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.unwrap_or(0);
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Ok(MemoryStats {
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total_entries: total,
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by_type,
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by_agent,
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oldest_entry: oldest,
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newest_entry: newest,
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storage_size_bytes: storage_size,
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})
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}
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/// Export memories for backup
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pub async fn export_all(&self) -> Result<Vec<PersistentMemory>, String> {
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let conn = self.conn.lock().await;
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let memories = sqlx::query_as::<_, PersistentMemory>(
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"SELECT * FROM memories ORDER BY created_at ASC",
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)
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.fetch_all(&*conn)
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.await
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.map_err(|e| format!("Failed to export memories: {}", e))?;
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Ok(memories)
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}
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/// Import memories from backup
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pub async fn import_batch(&self, memories: &[PersistentMemory]) -> Result<usize, String> {
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let mut imported = 0;
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for memory in memories {
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self.store(memory).await?;
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imported += 1;
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}
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Ok(imported)
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}
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/// Get the database path
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pub fn path(&self) -> &PathBuf {
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self.path.clone()
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}
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}
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/// Generate a unique memory ID
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pub fn generate_memory_id() -> String {
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format!("mem_{}_{}", Utc::now().timestamp(), Uuid::new_v4().to_string().replace("-", "").substring(0, 8))
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[tokio::test]
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async fn test_memory_store() {
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// This would require a test database setup
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// For now, just verify the struct compiles
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let _ = generate_memory_id();
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assert!(_memory_id.starts_with("mem_"));
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}
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}
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