269 lines
8.5 KiB
Rust
269 lines
8.5 KiB
Rust
//! Session-based memory management for grouping embeddings by recording session.
|
|
|
|
use std::collections::HashMap;
|
|
|
|
use serde::{Deserialize, Serialize};
|
|
|
|
use ruv_neural_core::embedding::NeuralEmbedding;
|
|
use ruv_neural_core::error::{Result, RuvNeuralError};
|
|
use ruv_neural_core::topology::CognitiveState;
|
|
|
|
use crate::store::NeuralMemoryStore;
|
|
|
|
/// Metadata for a recording session.
|
|
#[derive(Debug, Clone, Serialize, Deserialize)]
|
|
pub struct SessionMetadata {
|
|
/// Unique session identifier.
|
|
pub session_id: String,
|
|
/// Subject being recorded.
|
|
pub subject_id: String,
|
|
/// Session start time (Unix timestamp).
|
|
pub start_time: f64,
|
|
/// Session end time (None if still active).
|
|
pub end_time: Option<f64>,
|
|
/// Number of embeddings stored during this session.
|
|
pub num_embeddings: usize,
|
|
/// Cognitive states observed during the session.
|
|
pub cognitive_states_observed: Vec<CognitiveState>,
|
|
}
|
|
|
|
/// Manages neural memory across recording sessions.
|
|
pub struct SessionMemory {
|
|
/// Underlying embedding store.
|
|
store: NeuralMemoryStore,
|
|
/// Currently active session ID.
|
|
current_session: Option<String>,
|
|
/// Metadata for all sessions.
|
|
session_metadata: HashMap<String, SessionMetadata>,
|
|
/// Maps session_id to embedding indices.
|
|
session_indices: HashMap<String, Vec<usize>>,
|
|
/// Counter for generating session IDs.
|
|
session_counter: u64,
|
|
}
|
|
|
|
impl SessionMemory {
|
|
/// Create a new session memory with the given store capacity.
|
|
pub fn new(capacity: usize) -> Self {
|
|
Self {
|
|
store: NeuralMemoryStore::new(capacity),
|
|
current_session: None,
|
|
session_metadata: HashMap::new(),
|
|
session_indices: HashMap::new(),
|
|
session_counter: 0,
|
|
}
|
|
}
|
|
|
|
/// Start a new recording session, returning its unique ID.
|
|
///
|
|
/// If a session is already active, it is automatically ended first.
|
|
pub fn start_session(&mut self, subject_id: &str) -> String {
|
|
if self.current_session.is_some() {
|
|
self.end_session();
|
|
}
|
|
|
|
self.session_counter += 1;
|
|
let session_id = format!("session-{:04}", self.session_counter);
|
|
|
|
let metadata = SessionMetadata {
|
|
session_id: session_id.clone(),
|
|
subject_id: subject_id.to_string(),
|
|
start_time: 0.0, // Will be updated on first embedding
|
|
end_time: None,
|
|
num_embeddings: 0,
|
|
cognitive_states_observed: Vec::new(),
|
|
};
|
|
|
|
self.session_metadata
|
|
.insert(session_id.clone(), metadata);
|
|
self.session_indices
|
|
.insert(session_id.clone(), Vec::new());
|
|
self.current_session = Some(session_id.clone());
|
|
|
|
session_id
|
|
}
|
|
|
|
/// End the current recording session.
|
|
pub fn end_session(&mut self) {
|
|
if let Some(ref session_id) = self.current_session.clone() {
|
|
if let Some(meta) = self.session_metadata.get_mut(session_id) {
|
|
// Set end time from the last embedding's timestamp
|
|
if let Some(indices) = self.session_indices.get(session_id) {
|
|
if let Some(&last_idx) = indices.last() {
|
|
if let Some(emb) = self.store.get(last_idx) {
|
|
meta.end_time = Some(emb.timestamp);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
self.current_session = None;
|
|
}
|
|
|
|
/// Store an embedding in the current session.
|
|
///
|
|
/// Returns an error if no session is active.
|
|
pub fn store(&mut self, embedding: NeuralEmbedding) -> Result<usize> {
|
|
let session_id = self
|
|
.current_session
|
|
.clone()
|
|
.ok_or_else(|| RuvNeuralError::Memory("No active session".into()))?;
|
|
|
|
let timestamp = embedding.timestamp;
|
|
let state = embedding.metadata.cognitive_state;
|
|
let idx = self.store.store(embedding)?;
|
|
|
|
// Update session metadata
|
|
if let Some(meta) = self.session_metadata.get_mut(&session_id) {
|
|
if meta.num_embeddings == 0 {
|
|
meta.start_time = timestamp;
|
|
}
|
|
meta.num_embeddings += 1;
|
|
|
|
if let Some(s) = state {
|
|
if !meta.cognitive_states_observed.contains(&s) {
|
|
meta.cognitive_states_observed.push(s);
|
|
}
|
|
}
|
|
}
|
|
|
|
if let Some(indices) = self.session_indices.get_mut(&session_id) {
|
|
indices.push(idx);
|
|
}
|
|
|
|
Ok(idx)
|
|
}
|
|
|
|
/// Get all embeddings from a specific session.
|
|
pub fn get_session_history(&self, session_id: &str) -> Vec<&NeuralEmbedding> {
|
|
match self.session_indices.get(session_id) {
|
|
Some(indices) => indices
|
|
.iter()
|
|
.filter_map(|&i| self.store.get(i))
|
|
.collect(),
|
|
None => Vec::new(),
|
|
}
|
|
}
|
|
|
|
/// Get all embeddings for a given subject across all sessions.
|
|
pub fn get_subject_history(&self, subject_id: &str) -> Vec<&NeuralEmbedding> {
|
|
self.store.query_by_subject(subject_id)
|
|
}
|
|
|
|
/// Get metadata for a session.
|
|
pub fn get_session_metadata(&self, session_id: &str) -> Option<&SessionMetadata> {
|
|
self.session_metadata.get(session_id)
|
|
}
|
|
|
|
/// Get the current active session ID.
|
|
pub fn current_session_id(&self) -> Option<&str> {
|
|
self.current_session.as_deref()
|
|
}
|
|
|
|
/// Access the underlying store.
|
|
pub fn store_ref(&self) -> &NeuralMemoryStore {
|
|
&self.store
|
|
}
|
|
}
|
|
|
|
#[cfg(test)]
|
|
mod tests {
|
|
use super::*;
|
|
use ruv_neural_core::brain::Atlas;
|
|
use ruv_neural_core::embedding::EmbeddingMetadata;
|
|
|
|
fn make_embedding(vector: Vec<f64>, subject: &str, timestamp: f64) -> NeuralEmbedding {
|
|
NeuralEmbedding::new(
|
|
vector,
|
|
timestamp,
|
|
EmbeddingMetadata {
|
|
subject_id: Some(subject.to_string()),
|
|
session_id: None,
|
|
cognitive_state: Some(CognitiveState::Rest),
|
|
source_atlas: Atlas::Schaefer100,
|
|
embedding_method: "test".to_string(),
|
|
},
|
|
)
|
|
.unwrap()
|
|
}
|
|
|
|
#[test]
|
|
fn session_lifecycle() {
|
|
let mut mem = SessionMemory::new(100);
|
|
|
|
// No session active
|
|
assert!(mem.current_session_id().is_none());
|
|
|
|
// Start session
|
|
let sid = mem.start_session("subj1");
|
|
assert_eq!(mem.current_session_id(), Some(sid.as_str()));
|
|
|
|
// Store embeddings
|
|
mem.store(make_embedding(vec![1.0, 0.0], "subj1", 1.0))
|
|
.unwrap();
|
|
mem.store(make_embedding(vec![0.0, 1.0], "subj1", 2.0))
|
|
.unwrap();
|
|
|
|
// Check session history
|
|
let history = mem.get_session_history(&sid);
|
|
assert_eq!(history.len(), 2);
|
|
|
|
// Check metadata
|
|
let meta = mem.get_session_metadata(&sid).unwrap();
|
|
assert_eq!(meta.num_embeddings, 2);
|
|
assert_eq!(meta.subject_id, "subj1");
|
|
|
|
// End session
|
|
mem.end_session();
|
|
assert!(mem.current_session_id().is_none());
|
|
|
|
let meta = mem.get_session_metadata(&sid).unwrap();
|
|
assert_eq!(meta.end_time, Some(2.0));
|
|
}
|
|
|
|
#[test]
|
|
fn store_without_session_fails() {
|
|
let mut mem = SessionMemory::new(100);
|
|
let result = mem.store(make_embedding(vec![1.0], "subj1", 0.0));
|
|
assert!(result.is_err());
|
|
}
|
|
|
|
#[test]
|
|
fn multiple_sessions() {
|
|
let mut mem = SessionMemory::new(100);
|
|
|
|
let s1 = mem.start_session("subj1");
|
|
mem.store(make_embedding(vec![1.0], "subj1", 1.0))
|
|
.unwrap();
|
|
mem.end_session();
|
|
|
|
let s2 = mem.start_session("subj1");
|
|
mem.store(make_embedding(vec![2.0], "subj1", 2.0))
|
|
.unwrap();
|
|
mem.store(make_embedding(vec![3.0], "subj1", 3.0))
|
|
.unwrap();
|
|
mem.end_session();
|
|
|
|
assert_eq!(mem.get_session_history(&s1).len(), 1);
|
|
assert_eq!(mem.get_session_history(&s2).len(), 2);
|
|
|
|
// Subject history spans all sessions
|
|
let subject_history = mem.get_subject_history("subj1");
|
|
assert_eq!(subject_history.len(), 3);
|
|
}
|
|
|
|
#[test]
|
|
fn starting_new_session_ends_previous() {
|
|
let mut mem = SessionMemory::new(100);
|
|
|
|
let s1 = mem.start_session("subj1");
|
|
mem.store(make_embedding(vec![1.0], "subj1", 1.0))
|
|
.unwrap();
|
|
|
|
// Starting a new session auto-ends the previous one
|
|
let _s2 = mem.start_session("subj2");
|
|
|
|
let meta = mem.get_session_metadata(&s1).unwrap();
|
|
assert!(meta.end_time.is_some());
|
|
}
|
|
}
|