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767//! MemorySubstrate: unified implementation of the `Memory` trait.
//!
//! Composes the structured store, semantic store, knowledge store,
//! session store, and consolidation engine behind a single async API.
use crate::consolidation::ConsolidationEngine;
use crate::knowledge::KnowledgeStore;
use crate::migration::run_migrations;
use crate::semantic::SemanticStore;
use crate::session::{Session, SessionStore};
use crate::structured::StructuredStore;
use crate::usage::UsageStore;
use async_trait::async_trait;
use openfang_types::agent::{AgentEntry, AgentId, SessionId};
use openfang_types::error::{OpenFangError, OpenFangResult};
use openfang_types::memory::{
ConsolidationReport, Entity, ExportFormat, GraphMatch, GraphPattern, ImportReport, Memory,
MemoryFilter, MemoryFragment, MemoryId, MemorySource, Relation,
};
use rusqlite::Connection;
use std::collections::HashMap;
use std::path::Path;
use std::sync::{Arc, Mutex};
/// The unified memory substrate. Implements the `Memory` trait by delegating
/// to specialized stores backed by a shared SQLite connection.
pub struct MemorySubstrate {
conn: Arc<Mutex<Connection>>,
structured: StructuredStore,
semantic: SemanticStore,
knowledge: KnowledgeStore,
sessions: SessionStore,
consolidation: ConsolidationEngine,
usage: UsageStore,
}
impl MemorySubstrate {
/// Open or create a memory substrate at the given database path.
pub fn open(db_path: &Path, decay_rate: f32) -> OpenFangResult<Self> {
let conn = Connection::open(db_path).map_err(|e| OpenFangError::Memory(e.to_string()))?;
conn.execute_batch("PRAGMA journal_mode=WAL; PRAGMA busy_timeout=5000;")
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
run_migrations(&conn).map_err(|e| OpenFangError::Memory(e.to_string()))?;
let shared = Arc::new(Mutex::new(conn));
Ok(Self {
conn: Arc::clone(&shared),
structured: StructuredStore::new(Arc::clone(&shared)),
semantic: SemanticStore::new(Arc::clone(&shared)),
knowledge: KnowledgeStore::new(Arc::clone(&shared)),
sessions: SessionStore::new(Arc::clone(&shared)),
usage: UsageStore::new(Arc::clone(&shared)),
consolidation: ConsolidationEngine::new(shared, decay_rate),
})
}
/// Create an in-memory substrate (for testing).
pub fn open_in_memory(decay_rate: f32) -> OpenFangResult<Self> {
let conn =
Connection::open_in_memory().map_err(|e| OpenFangError::Memory(e.to_string()))?;
run_migrations(&conn).map_err(|e| OpenFangError::Memory(e.to_string()))?;
let shared = Arc::new(Mutex::new(conn));
Ok(Self {
conn: Arc::clone(&shared),
structured: StructuredStore::new(Arc::clone(&shared)),
semantic: SemanticStore::new(Arc::clone(&shared)),
knowledge: KnowledgeStore::new(Arc::clone(&shared)),
sessions: SessionStore::new(Arc::clone(&shared)),
usage: UsageStore::new(Arc::clone(&shared)),
consolidation: ConsolidationEngine::new(shared, decay_rate),
})
}
/// Get a reference to the usage store.
pub fn usage(&self) -> &UsageStore {
&self.usage
}
/// Get the shared database connection (for constructing stores from outside).
pub fn usage_conn(&self) -> Arc<Mutex<Connection>> {
Arc::clone(&self.conn)
}
/// Save an agent entry to persistent storage.
pub fn save_agent(&self, entry: &AgentEntry) -> OpenFangResult<()> {
self.structured.save_agent(entry)
}
/// Load an agent entry from persistent storage.
pub fn load_agent(&self, agent_id: AgentId) -> OpenFangResult<Option<AgentEntry>> {
self.structured.load_agent(agent_id)
}
/// Remove an agent from persistent storage and cascade-delete sessions.
pub fn remove_agent(&self, agent_id: AgentId) -> OpenFangResult<()> {
// Delete associated sessions first
let _ = self.sessions.delete_agent_sessions(agent_id);
self.structured.remove_agent(agent_id)
}
/// Load all agent entries from persistent storage.
pub fn load_all_agents(&self) -> OpenFangResult<Vec<AgentEntry>> {
self.structured.load_all_agents()
}
/// List all saved agents.
pub fn list_agents(&self) -> OpenFangResult<Vec<(String, String, String)>> {
self.structured.list_agents()
}
/// Synchronous get from the structured store (for kernel handle use).
pub fn structured_get(
&self,
agent_id: AgentId,
key: &str,
) -> OpenFangResult<Option<serde_json::Value>> {
self.structured.get(agent_id, key)
}
/// List all KV pairs for an agent.
pub fn list_kv(&self, agent_id: AgentId) -> OpenFangResult<Vec<(String, serde_json::Value)>> {
self.structured.list_kv(agent_id)
}
/// Delete a KV entry for an agent.
pub fn structured_delete(&self, agent_id: AgentId, key: &str) -> OpenFangResult<()> {
self.structured.delete(agent_id, key)
}
/// Synchronous set in the structured store (for kernel handle use).
pub fn structured_set(
&self,
agent_id: AgentId,
key: &str,
value: serde_json::Value,
) -> OpenFangResult<()> {
self.structured.set(agent_id, key, value)
}
/// Get a session by ID.
pub fn get_session(&self, session_id: SessionId) -> OpenFangResult<Option<Session>> {
self.sessions.get_session(session_id)
}
/// Save a session.
pub fn save_session(&self, session: &Session) -> OpenFangResult<()> {
self.sessions.save_session(session)
}
/// Create a new empty session for an agent.
pub fn create_session(&self, agent_id: AgentId) -> OpenFangResult<Session> {
self.sessions.create_session(agent_id)
}
/// List all sessions with metadata.
pub fn list_sessions(&self) -> OpenFangResult<Vec<serde_json::Value>> {
self.sessions.list_sessions()
}
/// Delete a session by ID.
pub fn delete_session(&self, session_id: SessionId) -> OpenFangResult<()> {
self.sessions.delete_session(session_id)
}
/// Delete all sessions belonging to an agent.
pub fn delete_agent_sessions(&self, agent_id: AgentId) -> OpenFangResult<()> {
self.sessions.delete_agent_sessions(agent_id)
}
/// Delete the canonical (cross-channel) session for an agent.
pub fn delete_canonical_session(&self, agent_id: AgentId) -> OpenFangResult<()> {
self.sessions.delete_canonical_session(agent_id)
}
/// Set or clear a session label.
pub fn set_session_label(
&self,
session_id: SessionId,
label: Option<&str>,
) -> OpenFangResult<()> {
self.sessions.set_session_label(session_id, label)
}
/// Find a session by label for a given agent.
pub fn find_session_by_label(
&self,
agent_id: AgentId,
label: &str,
) -> OpenFangResult<Option<Session>> {
self.sessions.find_session_by_label(agent_id, label)
}
/// List all sessions for a specific agent.
pub fn list_agent_sessions(&self, agent_id: AgentId) -> OpenFangResult<Vec<serde_json::Value>> {
self.sessions.list_agent_sessions(agent_id)
}
/// Create a new session with an optional label.
pub fn create_session_with_label(
&self,
agent_id: AgentId,
label: Option<&str>,
) -> OpenFangResult<Session> {
self.sessions.create_session_with_label(agent_id, label)
}
/// Load canonical session context for cross-channel memory.
///
/// Returns the compacted summary (if any) and recent messages from the
/// agent's persistent canonical session.
pub fn canonical_context(
&self,
agent_id: AgentId,
window_size: Option<usize>,
) -> OpenFangResult<(Option<String>, Vec<openfang_types::message::Message>)> {
self.sessions.canonical_context(agent_id, window_size)
}
/// Store an LLM-generated summary, replacing older messages with the kept subset.
///
/// Used by the compactor to replace text-truncation compaction with an
/// LLM-generated summary of older conversation history.
pub fn store_llm_summary(
&self,
agent_id: AgentId,
summary: &str,
kept_messages: Vec<openfang_types::message::Message>,
) -> OpenFangResult<()> {
self.sessions
.store_llm_summary(agent_id, summary, kept_messages)
}
/// Write a human-readable JSONL mirror of a session to disk.
///
/// Best-effort — errors are returned but should be logged,
/// never affecting the primary SQLite store.
pub fn write_jsonl_mirror(
&self,
session: &Session,
sessions_dir: &Path,
) -> Result<(), std::io::Error> {
self.sessions.write_jsonl_mirror(session, sessions_dir)
}
/// Append messages to the agent's canonical session for cross-channel persistence.
pub fn append_canonical(
&self,
agent_id: AgentId,
messages: &[openfang_types::message::Message],
compaction_threshold: Option<usize>,
) -> OpenFangResult<()> {
self.sessions
.append_canonical(agent_id, messages, compaction_threshold)?;
Ok(())
}
// -----------------------------------------------------------------
// Paired devices persistence
// -----------------------------------------------------------------
/// Load all paired devices from the database.
pub fn load_paired_devices(&self) -> OpenFangResult<Vec<serde_json::Value>> {
let conn = self
.conn
.lock()
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
let mut stmt = conn.prepare(
"SELECT device_id, display_name, platform, paired_at, last_seen, push_token FROM paired_devices"
).map_err(|e| OpenFangError::Memory(e.to_string()))?;
let rows = stmt
.query_map([], |row| {
Ok(serde_json::json!({
"device_id": row.get::<_, String>(0)?,
"display_name": row.get::<_, String>(1)?,
"platform": row.get::<_, String>(2)?,
"paired_at": row.get::<_, String>(3)?,
"last_seen": row.get::<_, String>(4)?,
"push_token": row.get::<_, Option<String>>(5)?,
}))
})
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
let mut devices = Vec::new();
for row in rows {
devices.push(row.map_err(|e| OpenFangError::Memory(e.to_string()))?);
}
Ok(devices)
}
/// Save a paired device to the database (insert or replace).
pub fn save_paired_device(
&self,
device_id: &str,
display_name: &str,
platform: &str,
paired_at: &str,
last_seen: &str,
push_token: Option<&str>,
) -> OpenFangResult<()> {
let conn = self
.conn
.lock()
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
conn.execute(
"INSERT OR REPLACE INTO paired_devices (device_id, display_name, platform, paired_at, last_seen, push_token) VALUES (?1, ?2, ?3, ?4, ?5, ?6)",
rusqlite::params![device_id, display_name, platform, paired_at, last_seen, push_token],
).map_err(|e| OpenFangError::Memory(e.to_string()))?;
Ok(())
}
/// Remove a paired device from the database.
pub fn remove_paired_device(&self, device_id: &str) -> OpenFangResult<()> {
let conn = self
.conn
.lock()
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
conn.execute(
"DELETE FROM paired_devices WHERE device_id = ?1",
rusqlite::params![device_id],
)
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
Ok(())
}
// -----------------------------------------------------------------
// Embedding-aware memory operations
// -----------------------------------------------------------------
/// Store a memory with an embedding vector.
pub fn remember_with_embedding(
&self,
agent_id: AgentId,
content: &str,
source: MemorySource,
scope: &str,
metadata: HashMap<String, serde_json::Value>,
embedding: Option<&[f32]>,
) -> OpenFangResult<MemoryId> {
self.semantic
.remember_with_embedding(agent_id, content, source, scope, metadata, embedding)
}
/// Recall memories using vector similarity when a query embedding is provided.
pub fn recall_with_embedding(
&self,
query: &str,
limit: usize,
filter: Option<MemoryFilter>,
query_embedding: Option<&[f32]>,
) -> OpenFangResult<Vec<MemoryFragment>> {
self.semantic
.recall_with_embedding(query, limit, filter, query_embedding)
}
/// Update the embedding for an existing memory.
pub fn update_embedding(&self, id: MemoryId, embedding: &[f32]) -> OpenFangResult<()> {
self.semantic.update_embedding(id, embedding)
}
/// Async wrapper for `recall_with_embedding` — runs in a blocking thread.
pub async fn recall_with_embedding_async(
&self,
query: &str,
limit: usize,
filter: Option<MemoryFilter>,
query_embedding: Option<&[f32]>,
) -> OpenFangResult<Vec<MemoryFragment>> {
let store = self.semantic.clone();
let query = query.to_string();
let embedding_owned = query_embedding.map(|e| e.to_vec());
tokio::task::spawn_blocking(move || {
store.recall_with_embedding(&query, limit, filter, embedding_owned.as_deref())
})
.await
.map_err(|e| OpenFangError::Internal(e.to_string()))?
}
/// Async wrapper for `remember_with_embedding` — runs in a blocking thread.
pub async fn remember_with_embedding_async(
&self,
agent_id: AgentId,
content: &str,
source: MemorySource,
scope: &str,
metadata: HashMap<String, serde_json::Value>,
embedding: Option<&[f32]>,
) -> OpenFangResult<MemoryId> {
let store = self.semantic.clone();
let content = content.to_string();
let scope = scope.to_string();
let embedding_owned = embedding.map(|e| e.to_vec());
tokio::task::spawn_blocking(move || {
store.remember_with_embedding(
agent_id,
&content,
source,
&scope,
metadata,
embedding_owned.as_deref(),
)
})
.await
.map_err(|e| OpenFangError::Internal(e.to_string()))?
}
// -----------------------------------------------------------------
// Task queue operations
// -----------------------------------------------------------------
/// Post a new task to the shared queue. Returns the task ID.
pub async fn task_post(
&self,
title: &str,
description: &str,
assigned_to: Option<&str>,
created_by: Option<&str>,
) -> OpenFangResult<String> {
let conn = Arc::clone(&self.conn);
let title = title.to_string();
let description = description.to_string();
let assigned_to = assigned_to.unwrap_or("").to_string();
let created_by = created_by.unwrap_or("").to_string();
tokio::task::spawn_blocking(move || {
let id = uuid::Uuid::new_v4().to_string();
let now = chrono::Utc::now().to_rfc3339();
let db = conn.lock().map_err(|e| OpenFangError::Internal(e.to_string()))?;
db.execute(
"INSERT INTO task_queue (id, agent_id, task_type, payload, status, priority, created_at, title, description, assigned_to, created_by)
VALUES (?1, ?2, ?3, ?4, 'pending', 0, ?5, ?6, ?7, ?8, ?9)",
rusqlite::params![id, &created_by, &title, b"", now, title, description, assigned_to, created_by],
)
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
Ok(id)
})
.await
.map_err(|e| OpenFangError::Internal(e.to_string()))?
}
/// Claim the next pending task (optionally for a specific assignee). Returns task JSON or None.
pub async fn task_claim(&self, agent_id: &str) -> OpenFangResult<Option<serde_json::Value>> {
let conn = Arc::clone(&self.conn);
let agent_id = agent_id.to_string();
tokio::task::spawn_blocking(move || {
let db = conn.lock().map_err(|e| OpenFangError::Internal(e.to_string()))?;
// Find first pending task assigned to this agent, or any unassigned pending task
let mut stmt = db.prepare(
"SELECT id, title, description, assigned_to, created_by, created_at
FROM task_queue
WHERE status = 'pending' AND (assigned_to = ?1 OR assigned_to = '')
ORDER BY priority DESC, created_at ASC
LIMIT 1"
).map_err(|e| OpenFangError::Memory(e.to_string()))?;
let result = stmt.query_row(rusqlite::params![agent_id], |row| {
Ok((
row.get::<_, String>(0)?,
row.get::<_, String>(1)?,
row.get::<_, String>(2)?,
row.get::<_, String>(3)?,
row.get::<_, String>(4)?,
row.get::<_, String>(5)?,
))
});
match result {
Ok((id, title, description, assigned, created_by, created_at)) => {
// Update status to in_progress
db.execute(
"UPDATE task_queue SET status = 'in_progress', assigned_to = ?2 WHERE id = ?1",
rusqlite::params![id, agent_id],
).map_err(|e| OpenFangError::Memory(e.to_string()))?;
Ok(Some(serde_json::json!({
"id": id,
"title": title,
"description": description,
"status": "in_progress",
"assigned_to": if assigned.is_empty() { &agent_id } else { &assigned },
"created_by": created_by,
"created_at": created_at,
})))
}
Err(rusqlite::Error::QueryReturnedNoRows) => Ok(None),
Err(e) => Err(OpenFangError::Memory(e.to_string())),
}
})
.await
.map_err(|e| OpenFangError::Internal(e.to_string()))?
}
/// Mark a task as completed with a result string.
pub async fn task_complete(&self, task_id: &str, result: &str) -> OpenFangResult<()> {
let conn = Arc::clone(&self.conn);
let task_id = task_id.to_string();
let result = result.to_string();
tokio::task::spawn_blocking(move || {
let now = chrono::Utc::now().to_rfc3339();
let db = conn.lock().map_err(|e| OpenFangError::Internal(e.to_string()))?;
let rows = db.execute(
"UPDATE task_queue SET status = 'completed', result = ?2, completed_at = ?3 WHERE id = ?1",
rusqlite::params![task_id, result, now],
).map_err(|e| OpenFangError::Memory(e.to_string()))?;
if rows == 0 {
return Err(OpenFangError::Internal(format!("Task not found: {task_id}")));
}
Ok(())
})
.await
.map_err(|e| OpenFangError::Internal(e.to_string()))?
}
/// List tasks, optionally filtered by status.
pub async fn task_list(&self, status: Option<&str>) -> OpenFangResult<Vec<serde_json::Value>> {
let conn = Arc::clone(&self.conn);
let status = status.map(|s| s.to_string());
tokio::task::spawn_blocking(move || {
let db = conn.lock().map_err(|e| OpenFangError::Internal(e.to_string()))?;
let (sql, params): (&str, Vec<Box<dyn rusqlite::types::ToSql>>) = match &status {
Some(s) => (
"SELECT id, title, description, status, assigned_to, created_by, created_at, completed_at, result FROM task_queue WHERE status = ?1 ORDER BY created_at DESC",
vec![Box::new(s.clone())],
),
None => (
"SELECT id, title, description, status, assigned_to, created_by, created_at, completed_at, result FROM task_queue ORDER BY created_at DESC",
vec![],
),
};
let mut stmt = db.prepare(sql).map_err(|e| OpenFangError::Memory(e.to_string()))?;
let params_refs: Vec<&dyn rusqlite::types::ToSql> = params.iter().map(|p| p.as_ref()).collect();
let rows = stmt.query_map(params_refs.as_slice(), |row| {
Ok(serde_json::json!({
"id": row.get::<_, String>(0)?,
"title": row.get::<_, String>(1).unwrap_or_default(),
"description": row.get::<_, String>(2).unwrap_or_default(),
"status": row.get::<_, String>(3)?,
"assigned_to": row.get::<_, String>(4).unwrap_or_default(),
"created_by": row.get::<_, String>(5).unwrap_or_default(),
"created_at": row.get::<_, String>(6).unwrap_or_default(),
"completed_at": row.get::<_, Option<String>>(7).unwrap_or(None),
"result": row.get::<_, Option<String>>(8).unwrap_or(None),
}))
}).map_err(|e| OpenFangError::Memory(e.to_string()))?;
let mut tasks = Vec::new();
for row in rows {
tasks.push(row.map_err(|e| OpenFangError::Memory(e.to_string()))?);
}
Ok(tasks)
})
.await
.map_err(|e| OpenFangError::Internal(e.to_string()))?
}
}
#[async_trait]
impl Memory for MemorySubstrate {
async fn get(&self, agent_id: AgentId, key: &str) -> OpenFangResult<Option<serde_json::Value>> {
let store = self.structured.clone();
let key = key.to_string();
tokio::task::spawn_blocking(move || store.get(agent_id, &key))
.await
.map_err(|e| OpenFangError::Internal(e.to_string()))?
}
async fn set(
&self,
agent_id: AgentId,
key: &str,
value: serde_json::Value,
) -> OpenFangResult<()> {
let store = self.structured.clone();
let key = key.to_string();
tokio::task::spawn_blocking(move || store.set(agent_id, &key, value))
.await
.map_err(|e| OpenFangError::Internal(e.to_string()))?
}
async fn delete(&self, agent_id: AgentId, key: &str) -> OpenFangResult<()> {
let store = self.structured.clone();
let key = key.to_string();
tokio::task::spawn_blocking(move || store.delete(agent_id, &key))
.await
.map_err(|e| OpenFangError::Internal(e.to_string()))?
}
async fn remember(
&self,
agent_id: AgentId,
content: &str,
source: MemorySource,
scope: &str,
metadata: HashMap<String, serde_json::Value>,
) -> OpenFangResult<MemoryId> {
let store = self.semantic.clone();
let content = content.to_string();
let scope = scope.to_string();
tokio::task::spawn_blocking(move || {
store.remember(agent_id, &content, source, &scope, metadata)
})
.await
.map_err(|e| OpenFangError::Internal(e.to_string()))?
}
async fn recall(
&self,
query: &str,
limit: usize,
filter: Option<MemoryFilter>,
) -> OpenFangResult<Vec<MemoryFragment>> {
let store = self.semantic.clone();
let query = query.to_string();
tokio::task::spawn_blocking(move || store.recall(&query, limit, filter))
.await
.map_err(|e| OpenFangError::Internal(e.to_string()))?
}
async fn forget(&self, id: MemoryId) -> OpenFangResult<()> {
let store = self.semantic.clone();
tokio::task::spawn_blocking(move || store.forget(id))
.await
.map_err(|e| OpenFangError::Internal(e.to_string()))?
}
async fn add_entity(&self, entity: Entity) -> OpenFangResult<String> {
let store = self.knowledge.clone();
tokio::task::spawn_blocking(move || store.add_entity(entity))
.await
.map_err(|e| OpenFangError::Internal(e.to_string()))?
}
async fn add_relation(&self, relation: Relation) -> OpenFangResult<String> {
let store = self.knowledge.clone();
tokio::task::spawn_blocking(move || store.add_relation(relation))
.await
.map_err(|e| OpenFangError::Internal(e.to_string()))?
}
async fn query_graph(&self, pattern: GraphPattern) -> OpenFangResult<Vec<GraphMatch>> {
let store = self.knowledge.clone();
tokio::task::spawn_blocking(move || store.query_graph(pattern))
.await
.map_err(|e| OpenFangError::Internal(e.to_string()))?
}
async fn consolidate(&self) -> OpenFangResult<ConsolidationReport> {
let engine = self.consolidation.clone();
tokio::task::spawn_blocking(move || engine.consolidate())
.await
.map_err(|e| OpenFangError::Internal(e.to_string()))?
}
async fn export(&self, format: ExportFormat) -> OpenFangResult<Vec<u8>> {
let _ = format;
Ok(Vec::new())
}
async fn import(&self, _data: &[u8], _format: ExportFormat) -> OpenFangResult<ImportReport> {
Ok(ImportReport {
entities_imported: 0,
relations_imported: 0,
memories_imported: 0,
errors: vec!["Import not yet implemented in Phase 1".to_string()],
})
}
}
#[cfg(test)]
mod tests {
use super::*;
#[tokio::test]
async fn test_substrate_kv() {
let substrate = MemorySubstrate::open_in_memory(0.1).unwrap();
let agent_id = AgentId::new();
substrate
.set(agent_id, "key", serde_json::json!("value"))
.await
.unwrap();
let val = substrate.get(agent_id, "key").await.unwrap();
assert_eq!(val, Some(serde_json::json!("value")));
}
#[tokio::test]
async fn test_substrate_remember_recall() {
let substrate = MemorySubstrate::open_in_memory(0.1).unwrap();
let agent_id = AgentId::new();
substrate
.remember(
agent_id,
"Rust is a great language",
MemorySource::Conversation,
"episodic",
HashMap::new(),
)
.await
.unwrap();
let results = substrate.recall("Rust", 10, None).await.unwrap();
assert_eq!(results.len(), 1);
}
#[tokio::test]
async fn test_task_post_and_list() {
let substrate = MemorySubstrate::open_in_memory(0.1).unwrap();
let id = substrate
.task_post(
"Review code",
"Check the auth module for issues",
Some("auditor"),
Some("orchestrator"),
)
.await
.unwrap();
assert!(!id.is_empty());
let tasks = substrate.task_list(Some("pending")).await.unwrap();
assert_eq!(tasks.len(), 1);
assert_eq!(tasks[0]["title"], "Review code");
assert_eq!(tasks[0]["assigned_to"], "auditor");
assert_eq!(tasks[0]["status"], "pending");
}
#[tokio::test]
async fn test_task_claim_and_complete() {
let substrate = MemorySubstrate::open_in_memory(0.1).unwrap();
let task_id = substrate
.task_post(
"Audit endpoint",
"Security audit the /api/login endpoint",
Some("auditor"),
None,
)
.await
.unwrap();
// Claim the task
let claimed = substrate.task_claim("auditor").await.unwrap();
assert!(claimed.is_some());
let claimed = claimed.unwrap();
assert_eq!(claimed["id"], task_id);
assert_eq!(claimed["status"], "in_progress");
// Complete the task
substrate
.task_complete(&task_id, "No vulnerabilities found")
.await
.unwrap();
// Verify it shows as completed
let tasks = substrate.task_list(Some("completed")).await.unwrap();
assert_eq!(tasks.len(), 1);
assert_eq!(tasks[0]["result"], "No vulnerabilities found");
}
#[tokio::test]
async fn test_task_claim_empty() {
let substrate = MemorySubstrate::open_in_memory(0.1).unwrap();
let claimed = substrate.task_claim("nobody").await.unwrap();
assert!(claimed.is_none());
}
}