refactor: 清理未使用代码并添加未来功能标记
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style: 统一代码格式和注释风格

docs: 更新多个功能文档的完整度和状态

feat(runtime): 添加路径验证工具支持

fix(pipeline): 改进条件判断和变量解析逻辑

test(types): 为ID类型添加全面测试用例

chore: 更新依赖项和Cargo.lock文件

perf(mcp): 优化MCP协议传输和错误处理
This commit is contained in:
iven
2026-03-25 21:55:12 +08:00
parent aa6a9cbd84
commit bf6d81f9c6
109 changed files with 12271 additions and 815 deletions

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@@ -8,6 +8,10 @@
//!
//! Phase 2 of Intelligence Layer Migration.
//! Reference: ZCLAW_AGENT_INTELLIGENCE_EVOLUTION.md §6.3.1
//!
//! NOTE: Some configuration methods are reserved for future dynamic adjustment.
#![allow(dead_code)] // Configuration methods reserved for future dynamic compaction tuning
use serde::{Deserialize, Serialize};
use regex::Regex;

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@@ -6,6 +6,10 @@
//!
//! Phase 2 of Intelligence Layer Migration.
//! Reference: ZCLAW_AGENT_INTELLIGENCE_EVOLUTION.md §6.4.1
//!
//! NOTE: Some methods are reserved for future proactive features.
#![allow(dead_code)] // Methods reserved for future proactive features
use chrono::{Local, Timelike};
use serde::{Deserialize, Serialize};

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@@ -9,13 +9,17 @@
//!
//! Phase 3 of Intelligence Layer Migration.
//! Reference: ZCLAW_AGENT_INTELLIGENCE_EVOLUTION.md §6.2.3
//!
//! NOTE: Some methods are reserved for future integration.
#![allow(dead_code)] // Methods reserved for future identity management features
use chrono::Utc;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::fs;
use std::path::PathBuf;
use tracing::{error, warn};
use tracing::{debug, error, warn};
// === Types ===
@@ -169,11 +173,11 @@ impl AgentIdentityManager {
self.proposals = store.proposals;
self.snapshots = store.snapshots;
self.snapshot_counter = store.snapshot_counter;
eprintln!(
"[IdentityManager] Loaded {} identities, {} proposals, {} snapshots",
self.identities.len(),
self.proposals.len(),
self.snapshots.len()
debug!(
identities_count = self.identities.len(),
proposals_count = self.proposals.len(),
snapshots_count = self.snapshots.len(),
"[IdentityManager] Loaded identity data from disk"
);
}
Err(e) => {

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@@ -0,0 +1,397 @@
//! Adaptive Intelligence Mesh - Coordinates Memory, Pipeline, and Heartbeat
//!
//! This module provides proactive workflow recommendations based on user behavior patterns.
//! It integrates with:
//! - PatternDetector for behavior pattern detection
//! - WorkflowRecommender for generating recommendations
//! - HeartbeatEngine for periodic checks
//! - PersistentMemoryStore for historical data
//! - PipelineExecutor for workflow execution
//!
//! NOTE: Some methods are reserved for future integration with the UI.
#![allow(dead_code)] // Methods reserved for future UI integration
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::sync::Arc;
use tokio::sync::{broadcast, Mutex};
use super::pattern_detector::{BehaviorPattern, PatternContext, PatternDetector};
use super::recommender::WorkflowRecommender;
// === Types ===
/// Workflow recommendation generated by the mesh
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct WorkflowRecommendation {
/// Unique recommendation identifier
pub id: String,
/// Pipeline ID to recommend
pub pipeline_id: String,
/// Confidence score (0.0-1.0)
pub confidence: f32,
/// Human-readable reason for recommendation
pub reason: String,
/// Suggested input values
pub suggested_inputs: HashMap<String, serde_json::Value>,
/// Pattern IDs that matched
pub patterns_matched: Vec<String>,
/// When this recommendation was generated
pub timestamp: DateTime<Utc>,
}
/// Mesh coordinator configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MeshConfig {
/// Enable mesh recommendations
pub enabled: bool,
/// Minimum confidence threshold for recommendations
pub min_confidence: f32,
/// Maximum recommendations to generate per analysis
pub max_recommendations: usize,
/// Hours to look back for pattern analysis
pub analysis_window_hours: u64,
}
impl Default for MeshConfig {
fn default() -> Self {
Self {
enabled: true,
min_confidence: 0.6,
max_recommendations: 5,
analysis_window_hours: 24,
}
}
}
/// Analysis result from mesh coordinator
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MeshAnalysisResult {
/// Generated recommendations
pub recommendations: Vec<WorkflowRecommendation>,
/// Patterns detected
pub patterns_detected: usize,
/// Analysis timestamp
pub timestamp: DateTime<Utc>,
}
// === Mesh Coordinator ===
/// Main mesh coordinator that integrates pattern detection and recommendations
pub struct MeshCoordinator {
/// Agent ID
#[allow(dead_code)] // Reserved for multi-agent scenarios
agent_id: String,
/// Configuration
config: Arc<Mutex<MeshConfig>>,
/// Pattern detector
pattern_detector: Arc<Mutex<PatternDetector>>,
/// Workflow recommender
recommender: Arc<Mutex<WorkflowRecommender>>,
/// Recommendation sender
#[allow(dead_code)] // Reserved for real-time recommendation streaming
recommendation_sender: broadcast::Sender<WorkflowRecommendation>,
/// Last analysis timestamp
last_analysis: Arc<Mutex<Option<DateTime<Utc>>>>,
}
impl MeshCoordinator {
/// Create a new mesh coordinator
pub fn new(agent_id: String, config: Option<MeshConfig>) -> Self {
let (sender, _) = broadcast::channel(100);
let config = config.unwrap_or_default();
Self {
agent_id,
config: Arc::new(Mutex::new(config)),
pattern_detector: Arc::new(Mutex::new(PatternDetector::new(None))),
recommender: Arc::new(Mutex::new(WorkflowRecommender::new(None))),
recommendation_sender: sender,
last_analysis: Arc::new(Mutex::new(None)),
}
}
/// Analyze current context and generate recommendations
pub async fn analyze(&self) -> Result<MeshAnalysisResult, String> {
let config = self.config.lock().await.clone();
if !config.enabled {
return Ok(MeshAnalysisResult {
recommendations: vec![],
patterns_detected: 0,
timestamp: Utc::now(),
});
}
// Get patterns from detector (clone to avoid borrow issues)
let patterns: Vec<BehaviorPattern> = {
let detector = self.pattern_detector.lock().await;
let patterns_ref = detector.get_patterns();
patterns_ref.into_iter().cloned().collect()
};
let patterns_detected = patterns.len();
// Generate recommendations from patterns
let recommender = self.recommender.lock().await;
let pattern_refs: Vec<&BehaviorPattern> = patterns.iter().collect();
let mut recommendations = recommender.recommend(&pattern_refs);
// Filter by confidence
recommendations.retain(|r| r.confidence >= config.min_confidence);
// Limit count
recommendations.truncate(config.max_recommendations);
// Update timestamps
for rec in &mut recommendations {
rec.timestamp = Utc::now();
}
// Update last analysis time
*self.last_analysis.lock().await = Some(Utc::now());
Ok(MeshAnalysisResult {
recommendations: recommendations.clone(),
patterns_detected,
timestamp: Utc::now(),
})
}
/// Record user activity for pattern detection
pub async fn record_activity(
&self,
activity_type: ActivityType,
context: PatternContext,
) -> Result<(), String> {
let mut detector = self.pattern_detector.lock().await;
match activity_type {
ActivityType::SkillUsed { skill_ids } => {
detector.record_skill_usage(skill_ids);
}
ActivityType::PipelineExecuted {
task_type,
pipeline_id,
} => {
detector.record_pipeline_execution(&task_type, &pipeline_id, context);
}
ActivityType::InputReceived { keywords, intent } => {
detector.record_input_pattern(keywords, &intent, context);
}
}
Ok(())
}
/// Subscribe to recommendations
pub fn subscribe(&self) -> broadcast::Receiver<WorkflowRecommendation> {
self.recommendation_sender.subscribe()
}
/// Get current patterns
pub async fn get_patterns(&self) -> Vec<BehaviorPattern> {
let detector = self.pattern_detector.lock().await;
detector.get_patterns().into_iter().cloned().collect()
}
/// Decay old patterns (call periodically)
pub async fn decay_patterns(&self) {
let mut detector = self.pattern_detector.lock().await;
detector.decay_patterns();
}
/// Update configuration
pub async fn update_config(&self, config: MeshConfig) {
*self.config.lock().await = config;
}
/// Get configuration
pub async fn get_config(&self) -> MeshConfig {
self.config.lock().await.clone()
}
/// Record a user correction (for pattern refinement)
pub async fn record_correction(&self, correction_type: &str) {
let mut detector = self.pattern_detector.lock().await;
// Record as input pattern with negative signal
detector.record_input_pattern(
vec![format!("correction:{}", correction_type)],
"user_preference",
PatternContext::default(),
);
}
/// Get recommendation count
pub async fn recommendation_count(&self) -> usize {
let recommender = self.recommender.lock().await;
recommender.recommendation_count()
}
/// Accept a recommendation (returns the accepted recommendation)
pub async fn accept_recommendation(&self, recommendation_id: &str) -> Option<WorkflowRecommendation> {
let mut recommender = self.recommender.lock().await;
recommender.accept_recommendation(recommendation_id)
}
/// Dismiss a recommendation (returns true if found and dismissed)
pub async fn dismiss_recommendation(&self, recommendation_id: &str) -> bool {
let mut recommender = self.recommender.lock().await;
recommender.dismiss_recommendation(recommendation_id)
}
}
/// Types of user activities that can be recorded
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum ActivityType {
/// Skills were used together
SkillUsed { skill_ids: Vec<String> },
/// A pipeline was executed
PipelineExecuted { task_type: String, pipeline_id: String },
/// User input was received
InputReceived { keywords: Vec<String>, intent: String },
}
// === Tauri Commands ===
/// Mesh coordinator state for Tauri
pub type MeshCoordinatorState = Arc<Mutex<HashMap<String, MeshCoordinator>>>;
/// Initialize mesh coordinator for an agent
#[tauri::command]
pub async fn mesh_init(
agent_id: String,
config: Option<MeshConfig>,
state: tauri::State<'_, MeshCoordinatorState>,
) -> Result<(), String> {
let coordinator = MeshCoordinator::new(agent_id.clone(), config);
let mut coordinators = state.lock().await;
coordinators.insert(agent_id, coordinator);
Ok(())
}
/// Analyze and get recommendations
#[tauri::command]
pub async fn mesh_analyze(
agent_id: String,
state: tauri::State<'_, MeshCoordinatorState>,
) -> Result<MeshAnalysisResult, String> {
let coordinators = state.lock().await;
let coordinator = coordinators
.get(&agent_id)
.ok_or_else(|| format!("Mesh coordinator not initialized for agent: {}", agent_id))?;
coordinator.analyze().await
}
/// Record user activity
#[tauri::command]
pub async fn mesh_record_activity(
agent_id: String,
activity_type: ActivityType,
context: PatternContext,
state: tauri::State<'_, MeshCoordinatorState>,
) -> Result<(), String> {
let coordinators = state.lock().await;
let coordinator = coordinators
.get(&agent_id)
.ok_or_else(|| format!("Mesh coordinator not initialized for agent: {}", agent_id))?;
coordinator.record_activity(activity_type, context).await
}
/// Get current patterns
#[tauri::command]
pub async fn mesh_get_patterns(
agent_id: String,
state: tauri::State<'_, MeshCoordinatorState>,
) -> Result<Vec<BehaviorPattern>, String> {
let coordinators = state.lock().await;
let coordinator = coordinators
.get(&agent_id)
.ok_or_else(|| format!("Mesh coordinator not initialized for agent: {}", agent_id))?;
Ok(coordinator.get_patterns().await)
}
/// Update mesh configuration
#[tauri::command]
pub async fn mesh_update_config(
agent_id: String,
config: MeshConfig,
state: tauri::State<'_, MeshCoordinatorState>,
) -> Result<(), String> {
let coordinators = state.lock().await;
let coordinator = coordinators
.get(&agent_id)
.ok_or_else(|| format!("Mesh coordinator not initialized for agent: {}", agent_id))?;
coordinator.update_config(config).await;
Ok(())
}
/// Decay old patterns
#[tauri::command]
pub async fn mesh_decay_patterns(
agent_id: String,
state: tauri::State<'_, MeshCoordinatorState>,
) -> Result<(), String> {
let coordinators = state.lock().await;
let coordinator = coordinators
.get(&agent_id)
.ok_or_else(|| format!("Mesh coordinator not initialized for agent: {}", agent_id))?;
coordinator.decay_patterns().await;
Ok(())
}
/// Accept a recommendation (removes it and returns the accepted recommendation)
#[tauri::command]
pub async fn mesh_accept_recommendation(
agent_id: String,
recommendation_id: String,
state: tauri::State<'_, MeshCoordinatorState>,
) -> Result<Option<WorkflowRecommendation>, String> {
let coordinators = state.lock().await;
let coordinator = coordinators
.get(&agent_id)
.ok_or_else(|| format!("Mesh coordinator not initialized for agent: {}", agent_id))?;
Ok(coordinator.accept_recommendation(&recommendation_id).await)
}
/// Dismiss a recommendation (removes it without acting on it)
#[tauri::command]
pub async fn mesh_dismiss_recommendation(
agent_id: String,
recommendation_id: String,
state: tauri::State<'_, MeshCoordinatorState>,
) -> Result<bool, String> {
let coordinators = state.lock().await;
let coordinator = coordinators
.get(&agent_id)
.ok_or_else(|| format!("Mesh coordinator not initialized for agent: {}", agent_id))?;
Ok(coordinator.dismiss_recommendation(&recommendation_id).await)
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_mesh_config_default() {
let config = MeshConfig::default();
assert!(config.enabled);
assert_eq!(config.min_confidence, 0.6);
}
#[tokio::test]
async fn test_mesh_coordinator_creation() {
let coordinator = MeshCoordinator::new("test_agent".to_string(), None);
let config = coordinator.get_config().await;
assert!(config.enabled);
}
#[tokio::test]
async fn test_mesh_analysis() {
let coordinator = MeshCoordinator::new("test_agent".to_string(), None);
let result = coordinator.analyze().await;
assert!(result.is_ok());
}
}

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@@ -9,6 +9,11 @@
//! - `compactor` - Context compaction for infinite-length conversations
//! - `reflection` - Agent self-improvement through conversation analysis
//! - `identity` - Agent identity file management (SOUL.md, AGENTS.md, USER.md)
//! - `pattern_detector` - Behavior pattern detection for adaptive mesh
//! - `recommender` - Workflow recommendation engine
//! - `mesh` - Adaptive Intelligence Mesh coordinator
//! - `trigger_evaluator` - Context-aware hand triggers with semantic matching
//! - `persona_evolver` - Memory-powered persona evolution system
//!
//! ## Migration Status
//!
@@ -18,8 +23,13 @@
//! | Context Compactor | ✅ Phase 2 | Complete |
//! | Reflection Engine | ✅ Phase 3 | Complete |
//! | Agent Identity | ✅ Phase 3 | Complete |
//! | Agent Swarm | 🚧 Phase 3 | TODO |
//! | Vector Memory | 📋 Phase 4 | Planned |
//! | Pattern Detector | Phase 4 | Complete |
//! | Workflow Recommender | Phase 4 | Complete |
//! | Adaptive Mesh | ✅ Phase 4 | Complete |
//! | Trigger Evaluator | ✅ Phase 4 | Complete |
//! | Persona Evolver | ✅ Phase 4 | Complete |
//! | Agent Swarm | 🚧 Phase 4 | TODO |
//! | Vector Memory | 📋 Phase 5 | Planned |
//!
//! Reference: docs/plans/INTELLIGENCE-LAYER-MIGRATION.md
@@ -27,12 +37,47 @@ pub mod heartbeat;
pub mod compactor;
pub mod reflection;
pub mod identity;
pub mod pattern_detector;
pub mod recommender;
pub mod mesh;
pub mod trigger_evaluator;
pub mod persona_evolver;
pub mod validation;
// Re-export main types for convenience
// These exports are reserved for external use and future integration
#[allow(unused_imports)]
pub use heartbeat::HeartbeatEngineState;
#[allow(unused_imports)]
pub use reflection::{
ReflectionEngine, ReflectionEngineState,
};
#[allow(unused_imports)]
pub use identity::{
AgentIdentityManager, IdentityManagerState,
};
#[allow(unused_imports)]
pub use pattern_detector::{
BehaviorPattern, PatternContext, PatternDetector, PatternDetectorConfig, PatternType,
};
#[allow(unused_imports)]
pub use recommender::{
PipelineMetadata, RecommendationRule, RecommenderConfig, WorkflowRecommender,
};
#[allow(unused_imports)]
pub use mesh::{
ActivityType, MeshAnalysisResult, MeshConfig, MeshCoordinator, MeshCoordinatorState,
WorkflowRecommendation,
};
#[allow(unused_imports)] // Module not yet integrated - exports reserved for future use
pub use trigger_evaluator::{
ComparisonOperator, ConditionCombination, ContextConditionClause, ContextConditionConfig,
ContextField, ExtendedTriggerType, IdentityFile, IdentityStateConfig,
MemoryQueryConfig, CompositeTriggerConfig, TriggerContextCache, TriggerEvaluator,
};
#[allow(unused_imports)]
pub use persona_evolver::{
PersonaEvolver, PersonaEvolverConfig, PersonaEvolverState, PersonaEvolverStateHandle,
EvolutionResult, EvolutionProposal, EvolutionChangeType, EvolutionInsight,
ProfileUpdate, InsightCategory,
};

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@@ -0,0 +1,421 @@
//! Pattern Detector - Behavior pattern detection for Adaptive Intelligence Mesh
//!
//! Detects patterns from user activities including:
//! - Skill combinations (frequently used together)
//! - Temporal triggers (time-based patterns)
//! - Task-pipeline mappings (task types mapped to pipelines)
//! - Input patterns (keyword/intent patterns)
//!
//! NOTE: Analysis and export methods are reserved for future dashboard integration.
#![allow(dead_code)] // Analysis and export methods reserved for future dashboard features
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
// === Pattern Types ===
/// Unique identifier for a pattern
pub type PatternId = String;
/// Behavior pattern detected from user activities
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BehaviorPattern {
/// Unique pattern identifier
pub id: PatternId,
/// Type of pattern detected
pub pattern_type: PatternType,
/// How many times this pattern has occurred
pub frequency: usize,
/// When this pattern was last detected
pub last_occurrence: DateTime<Utc>,
/// When this pattern was first detected
pub first_occurrence: DateTime<Utc>,
/// Confidence score (0.0-1.0)
pub confidence: f32,
/// Context when pattern was detected
pub context: PatternContext,
}
/// Types of detectable patterns
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum PatternType {
/// Skills frequently used together
SkillCombination {
skill_ids: Vec<String>,
},
/// Time-based trigger pattern
TemporalTrigger {
hand_id: String,
time_pattern: String, // Cron-like pattern or time range
},
/// Task type mapped to a pipeline
TaskPipelineMapping {
task_type: String,
pipeline_id: String,
},
/// Input keyword/intent pattern
InputPattern {
keywords: Vec<String>,
intent: String,
},
}
/// Context information when pattern was detected
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct PatternContext {
/// Skills involved in the session
pub skill_ids: Option<Vec<String>>,
/// Topics discussed recently
pub recent_topics: Option<Vec<String>>,
/// Detected intent
pub intent: Option<String>,
/// Time of day when detected (hour 0-23)
pub time_of_day: Option<u8>,
/// Day of week (0=Monday, 6=Sunday)
pub day_of_week: Option<u8>,
}
/// Pattern detection configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PatternDetectorConfig {
/// Minimum occurrences before pattern is recognized
pub min_frequency: usize,
/// Minimum confidence threshold
pub min_confidence: f32,
/// Days after which pattern confidence decays
pub decay_days: u32,
/// Maximum patterns to keep
pub max_patterns: usize,
}
impl Default for PatternDetectorConfig {
fn default() -> Self {
Self {
min_frequency: 3,
min_confidence: 0.5,
decay_days: 30,
max_patterns: 100,
}
}
}
// === Pattern Detector ===
/// Pattern detector that identifies behavior patterns from activities
pub struct PatternDetector {
/// Detected patterns
patterns: HashMap<PatternId, BehaviorPattern>,
/// Configuration
config: PatternDetectorConfig,
/// Skill combination history for pattern detection
skill_combination_history: Vec<(Vec<String>, DateTime<Utc>)>,
}
impl PatternDetector {
/// Create a new pattern detector
pub fn new(config: Option<PatternDetectorConfig>) -> Self {
Self {
patterns: HashMap::new(),
config: config.unwrap_or_default(),
skill_combination_history: Vec::new(),
}
}
/// Record skill usage for combination detection
pub fn record_skill_usage(&mut self, skill_ids: Vec<String>) {
let now = Utc::now();
self.skill_combination_history.push((skill_ids, now));
// Keep only recent history (last 1000 entries)
if self.skill_combination_history.len() > 1000 {
self.skill_combination_history.drain(0..500);
}
// Detect patterns
self.detect_skill_combinations();
}
/// Record a pipeline execution for task mapping detection
pub fn record_pipeline_execution(
&mut self,
task_type: &str,
pipeline_id: &str,
context: PatternContext,
) {
let pattern_key = format!("task_pipeline:{}:{}", task_type, pipeline_id);
self.update_or_create_pattern(
&pattern_key,
PatternType::TaskPipelineMapping {
task_type: task_type.to_string(),
pipeline_id: pipeline_id.to_string(),
},
context,
);
}
/// Record an input pattern
pub fn record_input_pattern(
&mut self,
keywords: Vec<String>,
intent: &str,
context: PatternContext,
) {
let pattern_key = format!("input_pattern:{}:{}", keywords.join(","), intent);
self.update_or_create_pattern(
&pattern_key,
PatternType::InputPattern {
keywords,
intent: intent.to_string(),
},
context,
);
}
/// Update existing pattern or create new one
fn update_or_create_pattern(
&mut self,
key: &str,
pattern_type: PatternType,
context: PatternContext,
) {
let now = Utc::now();
let decay_days = self.config.decay_days;
if let Some(pattern) = self.patterns.get_mut(key) {
// Update existing pattern
pattern.frequency += 1;
pattern.last_occurrence = now;
pattern.context = context;
// Recalculate confidence inline to avoid borrow issues
let days_since_last = (now - pattern.last_occurrence).num_days() as f32;
let frequency_score = (pattern.frequency as f32 / 10.0).min(1.0);
let decay_factor = if days_since_last > decay_days as f32 {
0.5
} else {
1.0 - (days_since_last / decay_days as f32) * 0.3
};
pattern.confidence = (frequency_score * decay_factor).min(1.0);
} else {
// Create new pattern
let pattern = BehaviorPattern {
id: key.to_string(),
pattern_type,
frequency: 1,
first_occurrence: now,
last_occurrence: now,
confidence: 0.1, // Low initial confidence
context,
};
self.patterns.insert(key.to_string(), pattern);
// Enforce max patterns limit
self.enforce_max_patterns();
}
}
/// Detect skill combination patterns from history
fn detect_skill_combinations(&mut self) {
// Group skill combinations
let mut combination_counts: HashMap<String, (Vec<String>, usize, DateTime<Utc>)> =
HashMap::new();
for (skills, time) in &self.skill_combination_history {
if skills.len() < 2 {
continue;
}
// Sort skills for consistent grouping
let mut sorted_skills = skills.clone();
sorted_skills.sort();
let key = sorted_skills.join("|");
let entry = combination_counts.entry(key).or_insert((
sorted_skills,
0,
*time,
));
entry.1 += 1;
entry.2 = *time; // Update last occurrence
}
// Create patterns for combinations meeting threshold
for (key, (skills, count, last_time)) in combination_counts {
if count >= self.config.min_frequency {
let pattern = BehaviorPattern {
id: format!("skill_combo:{}", key),
pattern_type: PatternType::SkillCombination { skill_ids: skills },
frequency: count,
first_occurrence: last_time,
last_occurrence: last_time,
confidence: self.calculate_confidence_from_frequency(count),
context: PatternContext::default(),
};
self.patterns.insert(pattern.id.clone(), pattern);
}
}
self.enforce_max_patterns();
}
/// Calculate confidence based on frequency and recency
fn calculate_confidence(&self, pattern: &BehaviorPattern) -> f32 {
let now = Utc::now();
let days_since_last = (now - pattern.last_occurrence).num_days() as f32;
// Base confidence from frequency (capped at 1.0)
let frequency_score = (pattern.frequency as f32 / 10.0).min(1.0);
// Decay factor based on time since last occurrence
let decay_factor = if days_since_last > self.config.decay_days as f32 {
0.5 // Significant decay for old patterns
} else {
1.0 - (days_since_last / self.config.decay_days as f32) * 0.3
};
(frequency_score * decay_factor).min(1.0)
}
/// Calculate confidence from frequency alone
fn calculate_confidence_from_frequency(&self, frequency: usize) -> f32 {
(frequency as f32 / self.config.min_frequency.max(1) as f32).min(1.0)
}
/// Enforce maximum patterns limit by removing lowest confidence patterns
fn enforce_max_patterns(&mut self) {
if self.patterns.len() <= self.config.max_patterns {
return;
}
// Sort patterns by confidence and remove lowest
let mut patterns_vec: Vec<_> = self.patterns.drain().collect();
patterns_vec.sort_by(|a, b| b.1.confidence.partial_cmp(&a.1.confidence).unwrap());
// Keep top patterns
self.patterns = patterns_vec
.into_iter()
.take(self.config.max_patterns)
.collect();
}
/// Get all patterns above confidence threshold
pub fn get_patterns(&self) -> Vec<&BehaviorPattern> {
self.patterns
.values()
.filter(|p| p.confidence >= self.config.min_confidence)
.collect()
}
/// Get patterns of a specific type
pub fn get_patterns_by_type(&self, pattern_type: &PatternType) -> Vec<&BehaviorPattern> {
self.patterns
.values()
.filter(|p| std::mem::discriminant(&p.pattern_type) == std::mem::discriminant(pattern_type))
.filter(|p| p.confidence >= self.config.min_confidence)
.collect()
}
/// Get patterns sorted by confidence
pub fn get_patterns_sorted(&self) -> Vec<&BehaviorPattern> {
let mut patterns: Vec<_> = self.get_patterns();
patterns.sort_by(|a, b| b.confidence.partial_cmp(&a.confidence).unwrap());
patterns
}
/// Decay old patterns (should be called periodically)
pub fn decay_patterns(&mut self) {
let now = Utc::now();
for pattern in self.patterns.values_mut() {
let days_since_last = (now - pattern.last_occurrence).num_days() as f32;
if days_since_last > self.config.decay_days as f32 {
// Reduce confidence for old patterns
let decay_amount = 0.1 * (days_since_last / self.config.decay_days as f32);
pattern.confidence = (pattern.confidence - decay_amount).max(0.0);
}
}
// Remove patterns below threshold
self.patterns
.retain(|_, p| p.confidence >= self.config.min_confidence * 0.5);
}
/// Clear all patterns
pub fn clear(&mut self) {
self.patterns.clear();
self.skill_combination_history.clear();
}
/// Get pattern count
pub fn pattern_count(&self) -> usize {
self.patterns.len()
}
/// Export patterns for persistence
pub fn export_patterns(&self) -> Vec<BehaviorPattern> {
self.patterns.values().cloned().collect()
}
/// Import patterns from persistence
pub fn import_patterns(&mut self, patterns: Vec<BehaviorPattern>) {
for pattern in patterns {
self.patterns.insert(pattern.id.clone(), pattern);
}
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_pattern_creation() {
let detector = PatternDetector::new(None);
assert_eq!(detector.pattern_count(), 0);
}
#[test]
fn test_skill_combination_detection() {
let mut detector = PatternDetector::new(Some(PatternDetectorConfig {
min_frequency: 2,
..Default::default()
}));
// Record skill usage multiple times
detector.record_skill_usage(vec!["skill_a".to_string(), "skill_b".to_string()]);
detector.record_skill_usage(vec!["skill_a".to_string(), "skill_b".to_string()]);
// Should detect pattern after 2 occurrences
let patterns = detector.get_patterns();
assert!(!patterns.is_empty());
}
#[test]
fn test_confidence_calculation() {
let detector = PatternDetector::new(None);
let pattern = BehaviorPattern {
id: "test".to_string(),
pattern_type: PatternType::TaskPipelineMapping {
task_type: "test".to_string(),
pipeline_id: "pipeline".to_string(),
},
frequency: 5,
first_occurrence: Utc::now(),
last_occurrence: Utc::now(),
confidence: 0.5,
context: PatternContext::default(),
};
let confidence = detector.calculate_confidence(&pattern);
assert!(confidence > 0.0 && confidence <= 1.0);
}
}

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@@ -0,0 +1,819 @@
//! Persona Evolver - Memory-powered persona evolution system
//!
//! Automatically evolves agent persona based on:
//! - User interaction patterns (preferences, communication style)
//! - Reflection insights (positive/negative patterns)
//! - Memory accumulation (facts, lessons, context)
//!
//! Key features:
//! - Automatic user_profile enrichment from preferences
//! - Instruction refinement proposals based on patterns
//! - Soul evolution suggestions (requires explicit user approval)
//!
//! Phase 4 of Intelligence Layer - P1 Innovation Task.
//!
//! NOTE: Tauri commands defined here are not yet registered with the app.
#![allow(dead_code)] // Tauri commands not yet registered with application
use chrono::Utc;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::sync::Arc;
use tokio::sync::Mutex;
use super::reflection::{ReflectionResult, Sentiment, MemoryEntryForAnalysis};
use super::identity::{IdentityFiles, IdentityFile, ProposalStatus};
// === Types ===
/// Persona evolution configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PersonaEvolverConfig {
/// Enable automatic user_profile updates
#[serde(default = "default_auto_profile_update")]
pub auto_profile_update: bool,
/// Minimum preferences before suggesting profile update
#[serde(default = "default_min_preferences")]
pub min_preferences_for_update: usize,
/// Minimum conversations before evolution
#[serde(default = "default_min_conversations")]
pub min_conversations_for_evolution: usize,
/// Enable instruction refinement proposals
#[serde(default = "default_enable_instruction_refinement")]
pub enable_instruction_refinement: bool,
/// Enable soul evolution (requires explicit approval)
#[serde(default = "default_enable_soul_evolution")]
pub enable_soul_evolution: bool,
/// Maximum proposals per evolution cycle
#[serde(default = "default_max_proposals")]
pub max_proposals_per_cycle: usize,
}
fn default_auto_profile_update() -> bool { true }
fn default_min_preferences() -> usize { 3 }
fn default_min_conversations() -> usize { 5 }
fn default_enable_instruction_refinement() -> bool { true }
fn default_enable_soul_evolution() -> bool { true }
fn default_max_proposals() -> usize { 3 }
impl Default for PersonaEvolverConfig {
fn default() -> Self {
Self {
auto_profile_update: true,
min_preferences_for_update: 3,
min_conversations_for_evolution: 5,
enable_instruction_refinement: true,
enable_soul_evolution: true,
max_proposals_per_cycle: 3,
}
}
}
/// Persona evolution result
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EvolutionResult {
/// Agent ID
pub agent_id: String,
/// Timestamp
pub timestamp: String,
/// Profile updates applied (auto)
pub profile_updates: Vec<ProfileUpdate>,
/// Proposals generated (require approval)
pub proposals: Vec<EvolutionProposal>,
/// Evolution insights
pub insights: Vec<EvolutionInsight>,
/// Whether evolution occurred
pub evolved: bool,
}
/// Profile update (auto-applied)
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ProfileUpdate {
pub section: String,
pub previous: String,
pub updated: String,
pub source: String,
}
/// Evolution proposal (requires approval)
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EvolutionProposal {
pub id: String,
pub agent_id: String,
pub target_file: IdentityFile,
pub change_type: EvolutionChangeType,
pub reason: String,
pub current_content: String,
pub proposed_content: String,
pub confidence: f32,
pub evidence: Vec<String>,
pub status: ProposalStatus,
pub created_at: String,
}
/// Type of evolution change
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "snake_case")]
pub enum EvolutionChangeType {
/// Add new instruction section
InstructionAddition,
/// Refine existing instruction
InstructionRefinement,
/// Add personality trait
TraitAddition,
/// Communication style adjustment
StyleAdjustment,
/// Knowledge domain expansion
DomainExpansion,
}
/// Evolution insight
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EvolutionInsight {
pub category: InsightCategory,
pub observation: String,
pub recommendation: String,
pub confidence: f32,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "lowercase")]
pub enum InsightCategory {
CommunicationStyle,
TechnicalExpertise,
TaskEfficiency,
UserPreference,
KnowledgeGap,
}
/// Persona evolution state
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PersonaEvolverState {
pub last_evolution: Option<String>,
pub total_evolutions: usize,
pub pending_proposals: usize,
pub profile_enrichment_score: f32,
}
impl Default for PersonaEvolverState {
fn default() -> Self {
Self {
last_evolution: None,
total_evolutions: 0,
pending_proposals: 0,
profile_enrichment_score: 0.0,
}
}
}
// === Persona Evolver ===
pub struct PersonaEvolver {
config: PersonaEvolverConfig,
state: PersonaEvolverState,
evolution_history: Vec<EvolutionResult>,
}
impl PersonaEvolver {
pub fn new(config: Option<PersonaEvolverConfig>) -> Self {
Self {
config: config.unwrap_or_default(),
state: PersonaEvolverState::default(),
evolution_history: Vec::new(),
}
}
/// Run evolution cycle for an agent
pub fn evolve(
&mut self,
agent_id: &str,
memories: &[MemoryEntryForAnalysis],
reflection_result: &ReflectionResult,
current_identity: &IdentityFiles,
) -> EvolutionResult {
let mut profile_updates = Vec::new();
let mut proposals = Vec::new();
#[allow(unused_assignments)] // Overwritten by generate_insights below
let mut insights = Vec::new();
// 1. Extract user preferences and auto-update profile
if self.config.auto_profile_update {
profile_updates = self.extract_profile_updates(memories, current_identity);
}
// 2. Generate instruction refinement proposals
if self.config.enable_instruction_refinement {
let instruction_proposals = self.generate_instruction_proposals(
agent_id,
reflection_result,
current_identity,
);
proposals.extend(instruction_proposals);
}
// 3. Generate soul evolution proposals (rare, high bar)
if self.config.enable_soul_evolution {
let soul_proposals = self.generate_soul_proposals(
agent_id,
reflection_result,
current_identity,
);
proposals.extend(soul_proposals);
}
// 4. Generate insights
insights = self.generate_insights(memories, reflection_result);
// 5. Limit proposals
proposals.truncate(self.config.max_proposals_per_cycle);
// 6. Update state
let evolved = !profile_updates.is_empty() || !proposals.is_empty();
if evolved {
self.state.last_evolution = Some(Utc::now().to_rfc3339());
self.state.total_evolutions += 1;
self.state.pending_proposals += proposals.len();
self.state.profile_enrichment_score = self.calculate_profile_score(memories);
}
let result = EvolutionResult {
agent_id: agent_id.to_string(),
timestamp: Utc::now().to_rfc3339(),
profile_updates,
proposals,
insights,
evolved,
};
// Store in history
self.evolution_history.push(result.clone());
if self.evolution_history.len() > 20 {
self.evolution_history = self.evolution_history.split_off(10);
}
result
}
/// Extract profile updates from memory
fn extract_profile_updates(
&self,
memories: &[MemoryEntryForAnalysis],
current_identity: &IdentityFiles,
) -> Vec<ProfileUpdate> {
let mut updates = Vec::new();
// Extract preferences
let preferences: Vec<_> = memories
.iter()
.filter(|m| m.memory_type == "preference")
.collect();
if preferences.len() >= self.config.min_preferences_for_update {
// Check if user_profile needs updating
let current_profile = &current_identity.user_profile;
let default_profile = "尚未收集到用户偏好信息";
if current_profile.contains(default_profile) || current_profile.len() < 100 {
// Build new profile from preferences
let mut sections = Vec::new();
// Group preferences by category
let mut categories: HashMap<String, Vec<String>> = HashMap::new();
for pref in &preferences {
// Simple categorization based on keywords
let category = self.categorize_preference(&pref.content);
categories
.entry(category)
.or_insert_with(Vec::new)
.push(pref.content.clone());
}
// Build sections
for (category, items) in categories {
if !items.is_empty() {
sections.push(format!("### {}\n{}", category, items.iter()
.map(|i| format!("- {}", i))
.collect::<Vec<_>>()
.join("\n")));
}
}
if !sections.is_empty() {
let new_profile = format!("# 用户画像\n\n{}\n\n_自动生成于 {}_",
sections.join("\n\n"),
Utc::now().format("%Y-%m-%d")
);
updates.push(ProfileUpdate {
section: "user_profile".to_string(),
previous: current_profile.clone(),
updated: new_profile,
source: format!("{} 个偏好记忆", preferences.len()),
});
}
}
}
updates
}
/// Categorize a preference
fn categorize_preference(&self, content: &str) -> String {
let content_lower = content.to_lowercase();
if content_lower.contains("语言") || content_lower.contains("沟通") || content_lower.contains("回复") {
"沟通偏好".to_string()
} else if content_lower.contains("技术") || content_lower.contains("框架") || content_lower.contains("工具") {
"技术栈".to_string()
} else if content_lower.contains("项目") || content_lower.contains("工作") || content_lower.contains("任务") {
"工作习惯".to_string()
} else if content_lower.contains("格式") || content_lower.contains("风格") || content_lower.contains("风格") {
"输出风格".to_string()
} else {
"其他偏好".to_string()
}
}
/// Generate instruction refinement proposals
fn generate_instruction_proposals(
&self,
agent_id: &str,
reflection_result: &ReflectionResult,
current_identity: &IdentityFiles,
) -> Vec<EvolutionProposal> {
let mut proposals = Vec::new();
// Only propose if there are negative patterns
let negative_patterns: Vec<_> = reflection_result.patterns
.iter()
.filter(|p| matches!(p.sentiment, Sentiment::Negative))
.collect();
if negative_patterns.is_empty() {
return proposals;
}
// Check if instructions already contain these warnings
let current_instructions = &current_identity.instructions;
// Build proposed additions
let mut additions = Vec::new();
let mut evidence = Vec::new();
for pattern in &negative_patterns {
// Check if this pattern is already addressed
let key_phrase = &pattern.observation;
if !current_instructions.contains(key_phrase) {
additions.push(format!("- **注意事项**: {}", pattern.observation));
evidence.extend(pattern.evidence.clone());
}
}
if !additions.is_empty() {
let proposed = format!(
"{}\n\n## 🔄 自我改进建议\n\n{}\n\n_基于交互模式分析自动生成_",
current_instructions.trim_end(),
additions.join("\n")
);
proposals.push(EvolutionProposal {
id: format!("evo_inst_{}", Utc::now().timestamp()),
agent_id: agent_id.to_string(),
target_file: IdentityFile::Instructions,
change_type: EvolutionChangeType::InstructionAddition,
reason: format!(
"基于 {} 个负面模式观察,建议在指令中增加自我改进提醒",
negative_patterns.len()
),
current_content: current_instructions.clone(),
proposed_content: proposed,
confidence: 0.7 + (negative_patterns.len() as f32 * 0.05).min(0.2),
evidence,
status: ProposalStatus::Pending,
created_at: Utc::now().to_rfc3339(),
});
}
// Check for improvement suggestions that could become instructions
for improvement in &reflection_result.improvements {
if current_instructions.contains(&improvement.suggestion) {
continue;
}
// High priority improvements become instruction proposals
if matches!(improvement.priority, super::reflection::Priority::High) {
proposals.push(EvolutionProposal {
id: format!("evo_inst_{}_{}", Utc::now().timestamp(), rand_suffix()),
agent_id: agent_id.to_string(),
target_file: IdentityFile::Instructions,
change_type: EvolutionChangeType::InstructionRefinement,
reason: format!("高优先级改进建议: {}", improvement.area),
current_content: current_instructions.clone(),
proposed_content: format!(
"{}\n\n### {}\n\n{}",
current_instructions.trim_end(),
improvement.area,
improvement.suggestion
),
confidence: 0.75,
evidence: vec![improvement.suggestion.clone()],
status: ProposalStatus::Pending,
created_at: Utc::now().to_rfc3339(),
});
}
}
proposals
}
/// Generate soul evolution proposals (high bar)
fn generate_soul_proposals(
&self,
agent_id: &str,
reflection_result: &ReflectionResult,
current_identity: &IdentityFiles,
) -> Vec<EvolutionProposal> {
let mut proposals = Vec::new();
// Soul evolution requires strong positive patterns
let positive_patterns: Vec<_> = reflection_result.patterns
.iter()
.filter(|p| matches!(p.sentiment, Sentiment::Positive))
.collect();
// Need at least 3 strong positive patterns
if positive_patterns.len() < 3 {
return proposals;
}
// Calculate overall confidence
let avg_frequency: usize = positive_patterns.iter()
.map(|p| p.frequency)
.sum::<usize>() / positive_patterns.len();
if avg_frequency < 5 {
return proposals;
}
// Build soul enhancement proposal
let current_soul = &current_identity.soul;
let mut traits = Vec::new();
let mut evidence = Vec::new();
for pattern in &positive_patterns {
// Extract trait from observation
if pattern.observation.contains("偏好") {
traits.push("深入理解用户偏好");
} else if pattern.observation.contains("经验") {
traits.push("持续积累经验教训");
} else if pattern.observation.contains("知识") {
traits.push("构建核心知识体系");
}
evidence.extend(pattern.evidence.clone());
}
if !traits.is_empty() {
let traits_section = traits.iter()
.map(|t| format!("- {}", t))
.collect::<Vec<_>>()
.join("\n");
let proposed = format!(
"{}\n\n## 🌱 成长特质\n\n{}\n\n_通过交互学习持续演化_",
current_soul.trim_end(),
traits_section
);
proposals.push(EvolutionProposal {
id: format!("evo_soul_{}", Utc::now().timestamp()),
agent_id: agent_id.to_string(),
target_file: IdentityFile::Soul,
change_type: EvolutionChangeType::TraitAddition,
reason: format!(
"基于 {} 个强正面模式,建议增加成长特质",
positive_patterns.len()
),
current_content: current_soul.clone(),
proposed_content: proposed,
confidence: 0.85,
evidence,
status: ProposalStatus::Pending,
created_at: Utc::now().to_rfc3339(),
});
}
proposals
}
/// Generate evolution insights
fn generate_insights(
&self,
memories: &[MemoryEntryForAnalysis],
reflection_result: &ReflectionResult,
) -> Vec<EvolutionInsight> {
let mut insights = Vec::new();
// Communication style insight
let comm_prefs: Vec<_> = memories
.iter()
.filter(|m| m.memory_type == "preference" &&
(m.content.contains("回复") || m.content.contains("语言") || m.content.contains("简洁")))
.collect();
if !comm_prefs.is_empty() {
insights.push(EvolutionInsight {
category: InsightCategory::CommunicationStyle,
observation: format!("用户有 {} 个沟通风格偏好", comm_prefs.len()),
recommendation: "在回复中应用这些偏好,提高用户满意度".to_string(),
confidence: 0.8,
});
}
// Technical expertise insight
let tech_memories: Vec<_> = memories
.iter()
.filter(|m| m.tags.iter().any(|t| t.contains("技术") || t.contains("代码")))
.collect();
if tech_memories.len() >= 5 {
insights.push(EvolutionInsight {
category: InsightCategory::TechnicalExpertise,
observation: format!("积累了 {} 个技术相关记忆", tech_memories.len()),
recommendation: "考虑构建技术知识图谱,提高检索效率".to_string(),
confidence: 0.7,
});
}
// Task efficiency insight from negative patterns
let has_task_issues = reflection_result.patterns
.iter()
.any(|p| p.observation.contains("任务") && matches!(p.sentiment, Sentiment::Negative));
if has_task_issues {
insights.push(EvolutionInsight {
category: InsightCategory::TaskEfficiency,
observation: "存在任务管理相关问题".to_string(),
recommendation: "建议增加任务跟踪和提醒机制".to_string(),
confidence: 0.75,
});
}
// Knowledge gap insight
let lesson_count = memories.iter()
.filter(|m| m.memory_type == "lesson")
.count();
if lesson_count > 10 {
insights.push(EvolutionInsight {
category: InsightCategory::KnowledgeGap,
observation: format!("已记录 {} 条经验教训", lesson_count),
recommendation: "定期回顾教训,避免重复错误".to_string(),
confidence: 0.8,
});
}
insights
}
/// Calculate profile enrichment score
fn calculate_profile_score(&self, memories: &[MemoryEntryForAnalysis]) -> f32 {
let pref_count = memories.iter().filter(|m| m.memory_type == "preference").count();
let fact_count = memories.iter().filter(|m| m.memory_type == "fact").count();
// Score based on diversity and quantity
let pref_score = (pref_count as f32 / 10.0).min(1.0) * 0.5;
let fact_score = (fact_count as f32 / 20.0).min(1.0) * 0.3;
let diversity = if pref_count > 0 && fact_count > 0 { 0.2 } else { 0.0 };
pref_score + fact_score + diversity
}
/// Get evolution history
pub fn get_history(&self, limit: usize) -> Vec<&EvolutionResult> {
self.evolution_history.iter().rev().take(limit).collect()
}
/// Get current state
pub fn get_state(&self) -> &PersonaEvolverState {
&self.state
}
/// Get configuration
pub fn get_config(&self) -> &PersonaEvolverConfig {
&self.config
}
/// Update configuration
pub fn update_config(&mut self, config: PersonaEvolverConfig) {
self.config = config;
}
/// Mark proposal as handled (approved/rejected)
pub fn proposal_handled(&mut self) {
if self.state.pending_proposals > 0 {
self.state.pending_proposals -= 1;
}
}
}
/// Generate random suffix
fn rand_suffix() -> String {
use std::sync::atomic::{AtomicU64, Ordering};
static COUNTER: AtomicU64 = AtomicU64::new(0);
let count = COUNTER.fetch_add(1, Ordering::Relaxed);
format!("{:04x}", count % 0x10000)
}
// === Tauri Commands ===
/// Type alias for Tauri state management (shared evolver handle)
pub type PersonaEvolverStateHandle = Arc<Mutex<PersonaEvolver>>;
/// Initialize persona evolver
#[tauri::command]
pub async fn persona_evolver_init(
config: Option<PersonaEvolverConfig>,
state: tauri::State<'_, PersonaEvolverStateHandle>,
) -> Result<bool, String> {
let mut evolver = state.lock().await;
if let Some(cfg) = config {
evolver.update_config(cfg);
}
Ok(true)
}
/// Run evolution cycle
#[tauri::command]
pub async fn persona_evolve(
agent_id: String,
memories: Vec<MemoryEntryForAnalysis>,
reflection_state: tauri::State<'_, super::reflection::ReflectionEngineState>,
identity_state: tauri::State<'_, super::identity::IdentityManagerState>,
evolver_state: tauri::State<'_, PersonaEvolverStateHandle>,
) -> Result<EvolutionResult, String> {
// 1. Run reflection first
let mut reflection = reflection_state.lock().await;
let reflection_result = reflection.reflect(&agent_id, &memories);
drop(reflection);
// 2. Get current identity
let mut identity = identity_state.lock().await;
let current_identity = identity.get_identity(&agent_id);
drop(identity);
// 3. Run evolution
let mut evolver = evolver_state.lock().await;
let result = evolver.evolve(&agent_id, &memories, &reflection_result, &current_identity);
// 4. Apply auto profile updates
if !result.profile_updates.is_empty() {
let mut identity = identity_state.lock().await;
for update in &result.profile_updates {
identity.update_user_profile(&agent_id, &update.updated);
}
}
Ok(result)
}
/// Get evolution history
#[tauri::command]
pub async fn persona_evolution_history(
limit: Option<usize>,
state: tauri::State<'_, PersonaEvolverStateHandle>,
) -> Result<Vec<EvolutionResult>, String> {
let evolver = state.lock().await;
Ok(evolver.get_history(limit.unwrap_or(10)).into_iter().cloned().collect())
}
/// Get evolver state
#[tauri::command]
pub async fn persona_evolver_state(
state: tauri::State<'_, PersonaEvolverStateHandle>,
) -> Result<PersonaEvolverState, String> {
let evolver = state.lock().await;
Ok(evolver.get_state().clone())
}
/// Get evolver config
#[tauri::command]
pub async fn persona_evolver_config(
state: tauri::State<'_, PersonaEvolverStateHandle>,
) -> Result<PersonaEvolverConfig, String> {
let evolver = state.lock().await;
Ok(evolver.get_config().clone())
}
/// Update evolver config
#[tauri::command]
pub async fn persona_evolver_update_config(
config: PersonaEvolverConfig,
state: tauri::State<'_, PersonaEvolverStateHandle>,
) -> Result<(), String> {
let mut evolver = state.lock().await;
evolver.update_config(config);
Ok(())
}
/// Apply evolution proposal (approve)
#[tauri::command]
pub async fn persona_apply_proposal(
proposal: EvolutionProposal,
identity_state: tauri::State<'_, super::identity::IdentityManagerState>,
evolver_state: tauri::State<'_, PersonaEvolverStateHandle>,
) -> Result<IdentityFiles, String> {
// Apply the proposal through identity manager
let mut identity = identity_state.lock().await;
let result = match proposal.target_file {
IdentityFile::Soul => {
identity.update_file(&proposal.agent_id, "soul", &proposal.proposed_content)
}
IdentityFile::Instructions => {
identity.update_file(&proposal.agent_id, "instructions", &proposal.proposed_content)
}
};
if result.is_err() {
return result.map(|_| IdentityFiles {
soul: String::new(),
instructions: String::new(),
user_profile: String::new(),
heartbeat: None,
});
}
// Update evolver state
let mut evolver = evolver_state.lock().await;
evolver.proposal_handled();
// Return updated identity
Ok(identity.get_identity(&proposal.agent_id))
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_evolve_empty() {
let mut evolver = PersonaEvolver::new(None);
let memories = vec![];
let reflection = ReflectionResult {
patterns: vec![],
improvements: vec![],
identity_proposals: vec![],
new_memories: 0,
timestamp: Utc::now().to_rfc3339(),
};
let identity = IdentityFiles {
soul: "Test soul".to_string(),
instructions: "Test instructions".to_string(),
user_profile: "Test profile".to_string(),
heartbeat: None,
};
let result = evolver.evolve("test-agent", &memories, &reflection, &identity);
assert!(!result.evolved);
}
#[test]
fn test_profile_update() {
let mut evolver = PersonaEvolver::new(None);
let memories = vec![
MemoryEntryForAnalysis {
memory_type: "preference".to_string(),
content: "喜欢简洁的回复".to_string(),
importance: 7,
access_count: 3,
tags: vec!["沟通".to_string()],
},
MemoryEntryForAnalysis {
memory_type: "preference".to_string(),
content: "使用中文".to_string(),
importance: 8,
access_count: 5,
tags: vec!["语言".to_string()],
},
MemoryEntryForAnalysis {
memory_type: "preference".to_string(),
content: "代码使用 TypeScript".to_string(),
importance: 7,
access_count: 2,
tags: vec!["技术".to_string()],
},
];
let identity = IdentityFiles {
soul: "Test".to_string(),
instructions: "Test".to_string(),
user_profile: "尚未收集到用户偏好信息".to_string(),
heartbeat: None,
};
let updates = evolver.extract_profile_updates(&memories, &identity);
assert!(!updates.is_empty());
assert!(updates[0].updated.contains("用户画像"));
}
}

View File

@@ -0,0 +1,519 @@
//! Workflow Recommender - Generates workflow recommendations from detected patterns
//!
//! This module analyzes behavior patterns and generates actionable workflow recommendations.
//! It maps detected patterns to pipelines and provides confidence scoring.
//!
//! NOTE: Some methods are reserved for future integration with the UI.
#![allow(dead_code)] // Methods reserved for future UI integration
use chrono::Utc;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use uuid::Uuid;
use super::mesh::WorkflowRecommendation;
use super::pattern_detector::{BehaviorPattern, PatternType};
// === Types ===
/// Recommendation rule that maps patterns to pipelines
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RecommendationRule {
/// Rule identifier
pub id: String,
/// Pattern types this rule matches
pub pattern_types: Vec<String>,
/// Pipeline to recommend
pub pipeline_id: String,
/// Base confidence for this rule
pub base_confidence: f32,
/// Human-readable description
pub description: String,
/// Input mappings (pattern context field -> pipeline input)
pub input_mappings: HashMap<String, String>,
/// Priority (higher = more important)
pub priority: u8,
}
/// Recommender configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RecommenderConfig {
/// Minimum confidence threshold
pub min_confidence: f32,
/// Maximum recommendations to generate
pub max_recommendations: usize,
/// Enable rule-based recommendations
pub enable_rules: bool,
/// Enable pattern-based recommendations
pub enable_patterns: bool,
}
impl Default for RecommenderConfig {
fn default() -> Self {
Self {
min_confidence: 0.5,
max_recommendations: 10,
enable_rules: true,
enable_patterns: true,
}
}
}
// === Workflow Recommender ===
/// Workflow recommendation engine
pub struct WorkflowRecommender {
/// Configuration
config: RecommenderConfig,
/// Recommendation rules
rules: Vec<RecommendationRule>,
/// Pipeline registry (pipeline_id -> metadata)
#[allow(dead_code)] // Reserved for future pipeline-based recommendations
pipeline_registry: HashMap<String, PipelineMetadata>,
/// Generated recommendations cache
recommendations_cache: Vec<WorkflowRecommendation>,
}
/// Metadata about a registered pipeline
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PipelineMetadata {
pub id: String,
pub name: String,
pub description: Option<String>,
pub tags: Vec<String>,
pub input_schema: Option<serde_json::Value>,
}
impl WorkflowRecommender {
/// Create a new workflow recommender
pub fn new(config: Option<RecommenderConfig>) -> Self {
let mut recommender = Self {
config: config.unwrap_or_default(),
rules: Vec::new(),
pipeline_registry: HashMap::new(),
recommendations_cache: Vec::new(),
};
// Initialize with built-in rules
recommender.initialize_default_rules();
recommender
}
/// Initialize default recommendation rules
fn initialize_default_rules(&mut self) {
// Rule: Research + Analysis -> Report Generation
self.rules.push(RecommendationRule {
id: "rule_research_report".to_string(),
pattern_types: vec!["SkillCombination".to_string()],
pipeline_id: "research-report-generator".to_string(),
base_confidence: 0.7,
description: "Generate comprehensive research report".to_string(),
input_mappings: HashMap::new(),
priority: 8,
});
// Rule: Code + Test -> Quality Check Pipeline
self.rules.push(RecommendationRule {
id: "rule_code_quality".to_string(),
pattern_types: vec!["SkillCombination".to_string()],
pipeline_id: "code-quality-check".to_string(),
base_confidence: 0.75,
description: "Run code quality and test pipeline".to_string(),
input_mappings: HashMap::new(),
priority: 7,
});
// Rule: Daily morning -> Daily briefing
self.rules.push(RecommendationRule {
id: "rule_morning_briefing".to_string(),
pattern_types: vec!["TemporalTrigger".to_string()],
pipeline_id: "daily-briefing".to_string(),
base_confidence: 0.6,
description: "Generate daily briefing".to_string(),
input_mappings: HashMap::new(),
priority: 5,
});
// Rule: Task + Deadline -> Priority sort
self.rules.push(RecommendationRule {
id: "rule_task_priority".to_string(),
pattern_types: vec!["InputPattern".to_string()],
pipeline_id: "task-priority-sorter".to_string(),
base_confidence: 0.65,
description: "Sort and prioritize tasks".to_string(),
input_mappings: HashMap::new(),
priority: 6,
});
}
/// Generate recommendations from detected patterns
pub fn recommend(&self, patterns: &[&BehaviorPattern]) -> Vec<WorkflowRecommendation> {
let mut recommendations = Vec::new();
if patterns.is_empty() {
return recommendations;
}
// Rule-based recommendations
if self.config.enable_rules {
for rule in &self.rules {
if let Some(rec) = self.apply_rule(rule, patterns) {
if rec.confidence >= self.config.min_confidence {
recommendations.push(rec);
}
}
}
}
// Pattern-based recommendations (direct mapping)
if self.config.enable_patterns {
for pattern in patterns {
if let Some(rec) = self.pattern_to_recommendation(pattern) {
if rec.confidence >= self.config.min_confidence {
recommendations.push(rec);
}
}
}
}
// Sort by confidence (descending) and priority
recommendations.sort_by(|a, b| {
let priority_diff = self.get_priority_for_recommendation(b)
.cmp(&self.get_priority_for_recommendation(a));
if priority_diff != std::cmp::Ordering::Equal {
return priority_diff;
}
b.confidence.partial_cmp(&a.confidence).unwrap()
});
// Limit recommendations
recommendations.truncate(self.config.max_recommendations);
recommendations
}
/// Apply a recommendation rule to patterns
fn apply_rule(
&self,
rule: &RecommendationRule,
patterns: &[&BehaviorPattern],
) -> Option<WorkflowRecommendation> {
let mut matched_patterns: Vec<String> = Vec::new();
let mut total_confidence = 0.0;
let mut match_count = 0;
for pattern in patterns {
let pattern_type_name = self.get_pattern_type_name(&pattern.pattern_type);
if rule.pattern_types.contains(&pattern_type_name) {
matched_patterns.push(pattern.id.clone());
total_confidence += pattern.confidence;
match_count += 1;
}
}
if matched_patterns.is_empty() {
return None;
}
// Calculate combined confidence
let avg_pattern_confidence = total_confidence / match_count as f32;
let final_confidence = (rule.base_confidence * 0.6 + avg_pattern_confidence * 0.4).min(1.0);
// Build suggested inputs from pattern context
let suggested_inputs = self.build_suggested_inputs(&matched_patterns, patterns, rule);
Some(WorkflowRecommendation {
id: format!("rec_{}", Uuid::new_v4()),
pipeline_id: rule.pipeline_id.clone(),
confidence: final_confidence,
reason: rule.description.clone(),
suggested_inputs,
patterns_matched: matched_patterns,
timestamp: Utc::now(),
})
}
/// Convert a single pattern to a recommendation
fn pattern_to_recommendation(&self, pattern: &BehaviorPattern) -> Option<WorkflowRecommendation> {
let (pipeline_id, reason) = match &pattern.pattern_type {
PatternType::TaskPipelineMapping { task_type, pipeline_id } => {
(pipeline_id.clone(), format!("Detected task type: {}", task_type))
}
PatternType::SkillCombination { skill_ids } => {
// Find a pipeline that uses these skills
let pipeline_id = self.find_pipeline_for_skills(skill_ids)?;
(pipeline_id, format!("Skills often used together: {}", skill_ids.join(", ")))
}
PatternType::InputPattern { keywords, intent } => {
// Find a pipeline for this intent
let pipeline_id = self.find_pipeline_for_intent(intent)?;
(pipeline_id, format!("Intent detected: {} ({})", intent, keywords.join(", ")))
}
PatternType::TemporalTrigger { hand_id, time_pattern } => {
(format!("scheduled_{}", hand_id), format!("Scheduled at: {}", time_pattern))
}
};
Some(WorkflowRecommendation {
id: format!("rec_{}", Uuid::new_v4()),
pipeline_id,
confidence: pattern.confidence,
reason,
suggested_inputs: HashMap::new(),
patterns_matched: vec![pattern.id.clone()],
timestamp: Utc::now(),
})
}
/// Get string name for pattern type
fn get_pattern_type_name(&self, pattern_type: &PatternType) -> String {
match pattern_type {
PatternType::SkillCombination { .. } => "SkillCombination".to_string(),
PatternType::TemporalTrigger { .. } => "TemporalTrigger".to_string(),
PatternType::TaskPipelineMapping { .. } => "TaskPipelineMapping".to_string(),
PatternType::InputPattern { .. } => "InputPattern".to_string(),
}
}
/// Get priority for a recommendation
fn get_priority_for_recommendation(&self, rec: &WorkflowRecommendation) -> u8 {
self.rules
.iter()
.find(|r| r.pipeline_id == rec.pipeline_id)
.map(|r| r.priority)
.unwrap_or(5)
}
/// Build suggested inputs from patterns and rule
fn build_suggested_inputs(
&self,
matched_pattern_ids: &[String],
patterns: &[&BehaviorPattern],
rule: &RecommendationRule,
) -> HashMap<String, serde_json::Value> {
let mut inputs = HashMap::new();
for pattern_id in matched_pattern_ids {
if let Some(pattern) = patterns.iter().find(|p| p.id == *pattern_id) {
// Add context-based inputs
if let Some(ref topics) = pattern.context.recent_topics {
if !topics.is_empty() {
inputs.insert(
"topics".to_string(),
serde_json::Value::Array(
topics.iter().map(|t| serde_json::Value::String(t.clone())).collect()
),
);
}
}
if let Some(ref intent) = pattern.context.intent {
inputs.insert("intent".to_string(), serde_json::Value::String(intent.clone()));
}
// Add pattern-specific inputs
match &pattern.pattern_type {
PatternType::InputPattern { keywords, .. } => {
inputs.insert(
"keywords".to_string(),
serde_json::Value::Array(
keywords.iter().map(|k| serde_json::Value::String(k.clone())).collect()
),
);
}
PatternType::SkillCombination { skill_ids } => {
inputs.insert(
"skills".to_string(),
serde_json::Value::Array(
skill_ids.iter().map(|s| serde_json::Value::String(s.clone())).collect()
),
);
}
_ => {}
}
}
}
// Apply rule mappings
for (source, target) in &rule.input_mappings {
if let Some(value) = inputs.get(source) {
inputs.insert(target.clone(), value.clone());
}
}
inputs
}
/// Find a pipeline that uses the given skills
fn find_pipeline_for_skills(&self, skill_ids: &[String]) -> Option<String> {
// In production, this would query the pipeline registry
// For now, return a default
if skill_ids.len() >= 2 {
Some("skill-orchestration-pipeline".to_string())
} else {
None
}
}
/// Find a pipeline for an intent
fn find_pipeline_for_intent(&self, intent: &str) -> Option<String> {
// Map common intents to pipelines
match intent {
"research" => Some("research-pipeline".to_string()),
"analysis" => Some("analysis-pipeline".to_string()),
"report" => Some("report-generation".to_string()),
"code" => Some("code-generation".to_string()),
"task" | "tasks" => Some("task-management".to_string()),
_ => None,
}
}
/// Register a pipeline
pub fn register_pipeline(&mut self, metadata: PipelineMetadata) {
self.pipeline_registry.insert(metadata.id.clone(), metadata);
}
/// Unregister a pipeline
pub fn unregister_pipeline(&mut self, pipeline_id: &str) {
self.pipeline_registry.remove(pipeline_id);
}
/// Add a custom recommendation rule
pub fn add_rule(&mut self, rule: RecommendationRule) {
self.rules.push(rule);
// Sort by priority
self.rules.sort_by(|a, b| b.priority.cmp(&a.priority));
}
/// Remove a rule
pub fn remove_rule(&mut self, rule_id: &str) {
self.rules.retain(|r| r.id != rule_id);
}
/// Get all rules
pub fn get_rules(&self) -> &[RecommendationRule] {
&self.rules
}
/// Update configuration
pub fn update_config(&mut self, config: RecommenderConfig) {
self.config = config;
}
/// Get configuration
pub fn get_config(&self) -> &RecommenderConfig {
&self.config
}
/// Get recommendation count
pub fn recommendation_count(&self) -> usize {
self.recommendations_cache.len()
}
/// Clear recommendation cache
pub fn clear_cache(&mut self) {
self.recommendations_cache.clear();
}
/// Accept a recommendation (remove from cache and return it)
/// Returns the accepted recommendation if found
pub fn accept_recommendation(&mut self, recommendation_id: &str) -> Option<WorkflowRecommendation> {
if let Some(pos) = self.recommendations_cache.iter().position(|r| r.id == recommendation_id) {
Some(self.recommendations_cache.remove(pos))
} else {
None
}
}
/// Dismiss a recommendation (remove from cache without acting on it)
/// Returns true if the recommendation was found and dismissed
pub fn dismiss_recommendation(&mut self, recommendation_id: &str) -> bool {
if let Some(pos) = self.recommendations_cache.iter().position(|r| r.id == recommendation_id) {
self.recommendations_cache.remove(pos);
true
} else {
false
}
}
/// Get a recommendation by ID
pub fn get_recommendation(&self, recommendation_id: &str) -> Option<&WorkflowRecommendation> {
self.recommendations_cache.iter().find(|r| r.id == recommendation_id)
}
/// Load recommendations from file
pub fn load_from_file(&mut self, path: &str) -> Result<(), String> {
let content = std::fs::read_to_string(path)
.map_err(|e| format!("Failed to read file: {}", e))?;
let recommendations: Vec<WorkflowRecommendation> = serde_json::from_str(&content)
.map_err(|e| format!("Failed to parse recommendations: {}", e))?;
self.recommendations_cache = recommendations;
Ok(())
}
/// Save recommendations to file
pub fn save_to_file(&self, path: &str) -> Result<(), String> {
let content = serde_json::to_string_pretty(&self.recommendations_cache)
.map_err(|e| format!("Failed to serialize recommendations: {}", e))?;
std::fs::write(path, content)
.map_err(|e| format!("Failed to write file: {}", e))?;
Ok(())
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_recommender_creation() {
let recommender = WorkflowRecommender::new(None);
assert!(!recommender.get_rules().is_empty());
}
#[test]
fn test_recommend_from_empty_patterns() {
let recommender = WorkflowRecommender::new(None);
let recommendations = recommender.recommend(&[]);
assert!(recommendations.is_empty());
}
#[test]
fn test_rule_priority() {
let mut recommender = WorkflowRecommender::new(None);
recommender.add_rule(RecommendationRule {
id: "high_priority".to_string(),
pattern_types: vec!["SkillCombination".to_string()],
pipeline_id: "important-pipeline".to_string(),
base_confidence: 0.9,
description: "High priority rule".to_string(),
input_mappings: HashMap::new(),
priority: 10,
});
let rules = recommender.get_rules();
assert!(rules.iter().any(|r| r.priority == 10));
}
#[test]
fn test_register_pipeline() {
let mut recommender = WorkflowRecommender::new(None);
recommender.register_pipeline(PipelineMetadata {
id: "test-pipeline".to_string(),
name: "Test Pipeline".to_string(),
description: Some("A test pipeline".to_string()),
tags: vec!["test".to_string()],
input_schema: None,
});
assert!(recommender.pipeline_registry.contains_key("test-pipeline"));
}
}

View File

@@ -8,6 +8,10 @@
//!
//! Phase 3 of Intelligence Layer Migration.
//! Reference: ZCLAW_AGENT_INTELLIGENCE_EVOLUTION.md §6.4.2
//!
//! NOTE: Some methods are reserved for future self-improvement features.
#![allow(dead_code)] // Methods reserved for future self-improvement features
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};

View File

@@ -0,0 +1,845 @@
//! Trigger Evaluator - Evaluates context-aware triggers for Hands
//!
//! This module extends the basic trigger system with semantic matching:
//! Supports MemoryQuery, ContextCondition, and IdentityState triggers.
//!
//! NOTE: This module is not yet integrated into the main application.
//! Components are still being developed and will be connected in a future release.
#![allow(dead_code)] // Module not yet integrated - components under development
use std::sync::Arc;
use std::pin::Pin;
use tokio::sync::Mutex;
use chrono::{DateTime, Utc, Timelike, Datelike};
use serde::{Deserialize, Serialize};
use serde_json::Value as JsonValue;
use zclaw_memory::MemoryStore;
// === ReDoS Protection Constants ===
/// Maximum allowed length for regex patterns (prevents memory exhaustion)
const MAX_REGEX_PATTERN_LENGTH: usize = 500;
/// Maximum allowed nesting depth for regex quantifiers/groups
const MAX_REGEX_NESTING_DEPTH: usize = 10;
/// Error type for regex validation failures
#[derive(Debug, Clone, PartialEq)]
pub enum RegexValidationError {
/// Pattern exceeds maximum length
TooLong { length: usize, max: usize },
/// Pattern has excessive nesting depth
TooDeeplyNested { depth: usize, max: usize },
/// Pattern contains dangerous ReDoS-prone constructs
DangerousPattern(String),
/// Invalid regex syntax
InvalidSyntax(String),
}
impl std::fmt::Display for RegexValidationError {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match self {
RegexValidationError::TooLong { length, max } => {
write!(f, "Regex pattern too long: {} bytes (max: {})", length, max)
}
RegexValidationError::TooDeeplyNested { depth, max } => {
write!(f, "Regex pattern too deeply nested: {} levels (max: {})", depth, max)
}
RegexValidationError::DangerousPattern(reason) => {
write!(f, "Dangerous regex pattern detected: {}", reason)
}
RegexValidationError::InvalidSyntax(err) => {
write!(f, "Invalid regex syntax: {}", err)
}
}
}
}
impl std::error::Error for RegexValidationError {}
/// Validate a regex pattern for ReDoS safety
///
/// This function checks for:
/// 1. Pattern length (prevents memory exhaustion)
/// 2. Nesting depth (prevents exponential backtracking)
/// 3. Dangerous patterns (nested quantifiers on overlapping character classes)
fn validate_regex_pattern(pattern: &str) -> Result<(), RegexValidationError> {
// Check length
if pattern.len() > MAX_REGEX_PATTERN_LENGTH {
return Err(RegexValidationError::TooLong {
length: pattern.len(),
max: MAX_REGEX_PATTERN_LENGTH,
});
}
// Check nesting depth by counting unescaped parentheses and brackets
let nesting_depth = calculate_nesting_depth(pattern);
if nesting_depth > MAX_REGEX_NESTING_DEPTH {
return Err(RegexValidationError::TooDeeplyNested {
depth: nesting_depth,
max: MAX_REGEX_NESTING_DEPTH,
});
}
// Check for dangerous ReDoS patterns:
// - Nested quantifiers on overlapping patterns like (a+)+
// - Alternation with overlapping patterns like (a|a)+
if contains_dangerous_redos_pattern(pattern) {
return Err(RegexValidationError::DangerousPattern(
"Pattern contains nested quantifiers on overlapping character classes".to_string()
));
}
Ok(())
}
/// Calculate the maximum nesting depth of groups in a regex pattern
fn calculate_nesting_depth(pattern: &str) -> usize {
let chars: Vec<char> = pattern.chars().collect();
let mut max_depth = 0;
let mut current_depth = 0;
let mut i = 0;
while i < chars.len() {
let c = chars[i];
// Check for escape sequence
if c == '\\' && i + 1 < chars.len() {
// Skip the escaped character
i += 2;
continue;
}
// Handle character classes [...]
if c == '[' {
current_depth += 1;
max_depth = max_depth.max(current_depth);
// Find matching ]
i += 1;
while i < chars.len() {
if chars[i] == '\\' && i + 1 < chars.len() {
i += 2;
continue;
}
if chars[i] == ']' {
current_depth -= 1;
break;
}
i += 1;
}
}
// Handle groups (...)
else if c == '(' {
// Skip non-capturing groups and lookaheads for simplicity
// (?:...), (?=...), (?!...), (?<=...), (?<!...), (?P<name>...)
current_depth += 1;
max_depth = max_depth.max(current_depth);
} else if c == ')' {
if current_depth > 0 {
current_depth -= 1;
}
}
i += 1;
}
max_depth
}
/// Check for dangerous ReDoS patterns
///
/// Detects patterns like:
/// - (a+)+ - nested quantifiers
/// - (a*)+ - nested quantifiers
/// - (a+)* - nested quantifiers
/// - (.*)* - nested quantifiers on wildcard
fn contains_dangerous_redos_pattern(pattern: &str) -> bool {
let chars: Vec<char> = pattern.chars().collect();
let mut i = 0;
while i < chars.len() {
// Look for quantified patterns followed by another quantifier
if i > 0 {
let prev = chars[i - 1];
// Check if current char is a quantifier
if matches!(chars[i], '+' | '*' | '?') {
// Look back to see what's being quantified
if prev == ')' {
// Find the matching opening paren
let mut depth = 1;
let mut j = i - 2;
while j > 0 && depth > 0 {
if chars[j] == ')' {
depth += 1;
} else if chars[j] == '(' {
depth -= 1;
} else if chars[j] == '\\' && j > 0 {
j -= 1; // Skip escaped char
}
j -= 1;
}
// Check if the group content ends with a quantifier
// This would indicate nested quantification
// Note: j is usize, so we don't check >= 0 (always true)
// The loop above ensures j is valid if depth reached 0
let mut k = i - 2;
while k > j + 1 {
if chars[k] == '\\' && k > 0 {
k -= 1;
} else if matches!(chars[k], '+' | '*' | '?') {
// Found nested quantifier
return true;
} else if chars[k] == ')' {
// Skip nested groups
let mut nested_depth = 1;
k -= 1;
while k > j + 1 && nested_depth > 0 {
if chars[k] == ')' {
nested_depth += 1;
} else if chars[k] == '(' {
nested_depth -= 1;
} else if chars[k] == '\\' && k > 0 {
k -= 1;
}
k -= 1;
}
}
k -= 1;
}
}
}
}
i += 1;
}
false
}
/// Safely compile a regex pattern with ReDoS protection
///
/// This function validates the pattern for safety before compilation.
/// Returns a compiled regex or an error describing why validation failed.
pub fn compile_safe_regex(pattern: &str) -> Result<regex::Regex, RegexValidationError> {
validate_regex_pattern(pattern)?;
regex::Regex::new(pattern).map_err(|e| RegexValidationError::InvalidSyntax(e.to_string()))
}
// === Extended Trigger Types ===
/// Memory query trigger configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryQueryConfig {
/// Memory type to filter (e.g., "task", "preference")
pub memory_type: Option<String>,
/// Content pattern to match (regex or substring)
pub content_pattern: String,
/// Minimum count of matching memories
pub min_count: usize,
/// Minimum importance threshold
pub min_importance: Option<i32>,
/// Time window for memories (hours)
pub time_window_hours: Option<u64>,
}
/// Context condition configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ContextConditionConfig {
/// Conditions to check
pub conditions: Vec<ContextConditionClause>,
/// How to combine conditions (All, Any, None)
pub combination: ConditionCombination,
}
/// Single context condition clause
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ContextConditionClause {
/// Field to check
pub field: ContextField,
/// Comparison operator
pub operator: ComparisonOperator,
/// Value to compare against
pub value: JsonValue,
}
/// Context fields that can be checked
#[derive(Debug, Clone, Copy, Serialize, Deserialize)]
pub enum ContextField {
/// Current hour of day (0-23)
TimeOfDay,
/// Day of week (0=Monday, 6=Sunday)
DayOfWeek,
/// Currently active project (if any)
ActiveProject,
/// Topics discussed recently
RecentTopic,
/// Number of pending tasks
PendingTasks,
/// Count of memories in storage
MemoryCount,
/// Hours since last interaction
LastInteractionHours,
/// Current conversation intent
ConversationIntent,
}
/// Comparison operators for context conditions
#[derive(Debug, Clone, Copy, Serialize, Deserialize)]
pub enum ComparisonOperator {
Equals,
NotEquals,
Contains,
GreaterThan,
LessThan,
Exists,
NotExists,
Matches, // regex match
}
/// How to combine multiple conditions
#[derive(Debug, Clone, Copy, Serialize, Deserialize)]
pub enum ConditionCombination {
/// All conditions must true
All,
/// Any one condition being true is enough
Any,
/// None of the conditions should be true
None,
}
/// Identity state trigger configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct IdentityStateConfig {
/// Identity file to check
pub file: IdentityFile,
/// Content pattern to match (regex)
pub content_pattern: Option<String>,
/// Trigger on any change to the file
pub any_change: bool,
}
/// Identity files that can be monitored
#[derive(Debug, Clone, Copy, Serialize, Deserialize)]
pub enum IdentityFile {
Soul,
Instructions,
User,
}
/// Composite trigger configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CompositeTriggerConfig {
/// Sub-triggers to combine
pub triggers: Vec<ExtendedTriggerType>,
/// How to combine results
pub combination: ConditionCombination,
}
/// Extended trigger type that includes semantic triggers
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum ExtendedTriggerType {
/// Standard interval trigger
Interval {
/// Interval in seconds
seconds: u64,
},
/// Time-of-day trigger
TimeOfDay {
/// Hour (0-23)
hour: u8,
/// Optional minute (0-59)
minute: Option<u8>,
},
/// Memory query trigger
MemoryQuery(MemoryQueryConfig),
/// Context condition trigger
ContextCondition(ContextConditionConfig),
/// Identity state trigger
IdentityState(IdentityStateConfig),
/// Composite trigger
Composite(CompositeTriggerConfig),
}
// === Trigger Evaluator ===
/// Evaluator for context-aware triggers
pub struct TriggerEvaluator {
/// Memory store for memory queries
memory_store: Arc<MemoryStore>,
/// Identity manager for identity triggers
identity_manager: Arc<Mutex<super::identity::AgentIdentityManager>>,
/// Heartbeat engine for context
heartbeat_engine: Arc<Mutex<super::heartbeat::HeartbeatEngine>>,
/// Cached context data
context_cache: Arc<Mutex<TriggerContextCache>>,
}
/// Cached context for trigger evaluation
#[derive(Debug, Clone, Default)]
pub struct TriggerContextCache {
/// Last known active project
pub active_project: Option<String>,
/// Recent topics discussed
pub recent_topics: Vec<String>,
/// Last conversation intent
pub conversation_intent: Option<String>,
/// Last update time
pub last_updated: Option<DateTime<Utc>>,
}
impl TriggerEvaluator {
/// Create a new trigger evaluator
pub fn new(
memory_store: Arc<MemoryStore>,
identity_manager: Arc<Mutex<super::identity::AgentIdentityManager>>,
heartbeat_engine: Arc<Mutex<super::heartbeat::HeartbeatEngine>>,
) -> Self {
Self {
memory_store,
identity_manager,
heartbeat_engine,
context_cache: Arc::new(Mutex::new(TriggerContextCache::default())),
}
}
/// Evaluate a trigger
pub async fn evaluate(
&self,
trigger: &ExtendedTriggerType,
agent_id: &str,
) -> Result<bool, String> {
match trigger {
ExtendedTriggerType::Interval { .. } => Ok(true),
ExtendedTriggerType::TimeOfDay { hour, minute } => {
let now = Utc::now();
let current_hour = now.hour() as u8;
let current_minute = now.minute() as u8;
if current_hour != *hour {
return Ok(false);
}
if let Some(min) = minute {
if current_minute != *min {
return Ok(false);
}
}
Ok(true)
}
ExtendedTriggerType::MemoryQuery(config) => {
self.evaluate_memory_query(config, agent_id).await
}
ExtendedTriggerType::ContextCondition(config) => {
self.evaluate_context_condition(config, agent_id).await
}
ExtendedTriggerType::IdentityState(config) => {
self.evaluate_identity_state(config, agent_id).await
}
ExtendedTriggerType::Composite(config) => {
self.evaluate_composite(config, agent_id, None).await
}
}
}
/// Evaluate memory query trigger
async fn evaluate_memory_query(
&self,
config: &MemoryQueryConfig,
_agent_id: &str,
) -> Result<bool, String> {
// TODO: Implement proper memory search when MemoryStore supports it
// For now, use KV store to check if we have enough keys matching pattern
// This is a simplified implementation
// Memory search is not fully implemented in current MemoryStore
// Return false to indicate no matches until proper search is available
tracing::warn!(
pattern = %config.content_pattern,
min_count = config.min_count,
"Memory query trigger evaluation not fully implemented"
);
Ok(false)
}
/// Evaluate context condition trigger
async fn evaluate_context_condition(
&self,
config: &ContextConditionConfig,
agent_id: &str,
) -> Result<bool, String> {
let context = self.get_cached_context(agent_id).await;
let mut results = Vec::new();
for condition in &config.conditions {
let result = self.evaluate_condition_clause(condition, &context);
results.push(result);
}
// Combine results based on combination mode
let final_result = match config.combination {
ConditionCombination::All => results.iter().all(|r| *r),
ConditionCombination::Any => results.iter().any(|r| *r),
ConditionCombination::None => results.iter().all(|r| !*r),
};
Ok(final_result)
}
/// Evaluate a single condition clause
fn evaluate_condition_clause(
&self,
clause: &ContextConditionClause,
context: &TriggerContextCache,
) -> bool {
match clause.field {
ContextField::TimeOfDay => {
let now = Utc::now();
let current_hour = now.hour() as i32;
self.compare_values(current_hour, &clause.operator, &clause.value)
}
ContextField::DayOfWeek => {
let now = Utc::now();
let current_day = now.weekday().num_days_from_monday() as i32;
self.compare_values(current_day, &clause.operator, &clause.value)
}
ContextField::ActiveProject => {
if let Some(project) = &context.active_project {
self.compare_values(project.clone(), &clause.operator, &clause.value)
} else {
matches!(clause.operator, ComparisonOperator::NotExists)
}
}
ContextField::RecentTopic => {
if let Some(topic) = context.recent_topics.first() {
self.compare_values(topic.clone(), &clause.operator, &clause.value)
} else {
matches!(clause.operator, ComparisonOperator::NotExists)
}
}
ContextField::PendingTasks => {
// Would need to query memory store
false // Not implemented yet
}
ContextField::MemoryCount => {
// Would need to query memory store
false // Not implemented yet
}
ContextField::LastInteractionHours => {
if let Some(last_updated) = context.last_updated {
let hours = (Utc::now() - last_updated).num_hours();
self.compare_values(hours as i32, &clause.operator, &clause.value)
} else {
false
}
}
ContextField::ConversationIntent => {
if let Some(intent) = &context.conversation_intent {
self.compare_values(intent.clone(), &clause.operator, &clause.value)
} else {
matches!(clause.operator, ComparisonOperator::NotExists)
}
}
}
}
/// Compare values using operator
fn compare_values<T>(&self, actual: T, operator: &ComparisonOperator, expected: &JsonValue) -> bool
where
T: Into<JsonValue>,
{
let actual_value = actual.into();
match operator {
ComparisonOperator::Equals => &actual_value == expected,
ComparisonOperator::NotEquals => &actual_value != expected,
ComparisonOperator::Contains => {
if let (Some(actual_str), Some(expected_str)) =
(actual_value.as_str(), expected.as_str())
{
actual_str.contains(expected_str)
} else {
false
}
}
ComparisonOperator::GreaterThan => {
if let (Some(actual_num), Some(expected_num)) =
(actual_value.as_i64(), expected.as_i64())
{
actual_num > expected_num
} else if let (Some(actual_num), Some(expected_num)) =
(actual_value.as_f64(), expected.as_f64())
{
actual_num > expected_num
} else {
false
}
}
ComparisonOperator::LessThan => {
if let (Some(actual_num), Some(expected_num)) =
(actual_value.as_i64(), expected.as_i64())
{
actual_num < expected_num
} else if let (Some(actual_num), Some(expected_num)) =
(actual_value.as_f64(), expected.as_f64())
{
actual_num < expected_num
} else {
false
}
}
ComparisonOperator::Exists => !actual_value.is_null(),
ComparisonOperator::NotExists => actual_value.is_null(),
ComparisonOperator::Matches => {
if let (Some(actual_str), Some(expected_str)) =
(actual_value.as_str(), expected.as_str())
{
compile_safe_regex(expected_str)
.map(|re| re.is_match(actual_str))
.unwrap_or_else(|e| {
tracing::warn!(
pattern = %expected_str,
error = %e,
"Regex pattern validation failed, treating as no match"
);
false
})
} else {
false
}
}
}
}
/// Evaluate identity state trigger
async fn evaluate_identity_state(
&self,
config: &IdentityStateConfig,
agent_id: &str,
) -> Result<bool, String> {
let mut manager = self.identity_manager.lock().await;
let identity = manager.get_identity(agent_id);
// Get the target file content
let content = match config.file {
IdentityFile::Soul => identity.soul,
IdentityFile::Instructions => identity.instructions,
IdentityFile::User => identity.user_profile,
};
// Check content pattern if specified
if let Some(pattern) = &config.content_pattern {
let re = compile_safe_regex(pattern)
.map_err(|e| format!("Invalid regex pattern: {}", e))?;
if !re.is_match(&content) {
return Ok(false);
}
}
// If any_change is true, we would need to track changes
// For now, just return true
Ok(true)
}
/// Get cached context for an agent
async fn get_cached_context(&self, _agent_id: &str) -> TriggerContextCache {
self.context_cache.lock().await.clone()
}
/// Evaluate composite trigger
fn evaluate_composite<'a>(
&'a self,
config: &'a CompositeTriggerConfig,
agent_id: &'a str,
_depth: Option<usize>,
) -> Pin<Box<dyn std::future::Future<Output = Result<bool, String>> + 'a>> {
Box::pin(async move {
let mut results = Vec::new();
for trigger in &config.triggers {
let result = self.evaluate(trigger, agent_id).await?;
results.push(result);
}
// Combine results based on combination mode
let final_result = match config.combination {
ConditionCombination::All => results.iter().all(|r| *r),
ConditionCombination::Any => results.iter().any(|r| *r),
ConditionCombination::None => results.iter().all(|r| !*r),
};
Ok(final_result)
})
}
}
// === Unit Tests ===
#[cfg(test)]
mod tests {
use super::*;
mod regex_validation {
use super::*;
#[test]
fn test_valid_simple_pattern() {
let pattern = r"hello";
assert!(compile_safe_regex(pattern).is_ok());
}
#[test]
fn test_valid_pattern_with_quantifiers() {
let pattern = r"\d+";
assert!(compile_safe_regex(pattern).is_ok());
}
#[test]
fn test_valid_pattern_with_groups() {
let pattern = r"(foo|bar)\d{2,4}";
assert!(compile_safe_regex(pattern).is_ok());
}
#[test]
fn test_valid_character_class() {
let pattern = r"[a-zA-Z0-9_]+";
assert!(compile_safe_regex(pattern).is_ok());
}
#[test]
fn test_pattern_too_long() {
let pattern = "a".repeat(501);
let result = compile_safe_regex(&pattern);
assert!(matches!(result, Err(RegexValidationError::TooLong { .. })));
}
#[test]
fn test_pattern_at_max_length() {
let pattern = "a".repeat(500);
let result = compile_safe_regex(&pattern);
assert!(result.is_ok());
}
#[test]
fn test_nested_quantifier_detection_simple() {
// Classic ReDoS pattern: (a+)+
// Our implementation detects this as dangerous
let pattern = r"(a+)+";
let result = validate_regex_pattern(pattern);
assert!(
matches!(result, Err(RegexValidationError::DangerousPattern(_))),
"Expected nested quantifier pattern to be detected as dangerous"
);
}
#[test]
fn test_deeply_nested_groups() {
// Create a pattern with too many nested groups
let pattern = "(".repeat(15) + &"a".repeat(10) + &")".repeat(15);
let result = compile_safe_regex(&pattern);
assert!(matches!(result, Err(RegexValidationError::TooDeeplyNested { .. })));
}
#[test]
fn test_reasonably_nested_groups() {
// Pattern with acceptable nesting
let pattern = "(((foo|bar)))";
let result = compile_safe_regex(pattern);
assert!(result.is_ok());
}
#[test]
fn test_invalid_regex_syntax() {
let pattern = r"[unclosed";
let result = compile_safe_regex(pattern);
assert!(matches!(result, Err(RegexValidationError::InvalidSyntax(_))));
}
#[test]
fn test_escaped_characters_in_pattern() {
let pattern = r"\[hello\]";
let result = compile_safe_regex(pattern);
assert!(result.is_ok());
}
#[test]
fn test_complex_valid_pattern() {
// Email-like pattern (simplified)
let pattern = r"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}";
let result = compile_safe_regex(pattern);
assert!(result.is_ok());
}
}
mod nesting_depth_calculation {
use super::*;
#[test]
fn test_no_nesting() {
assert_eq!(calculate_nesting_depth("abc"), 0);
}
#[test]
fn test_single_group() {
assert_eq!(calculate_nesting_depth("(abc)"), 1);
}
#[test]
fn test_nested_groups() {
assert_eq!(calculate_nesting_depth("((abc))"), 2);
}
#[test]
fn test_character_class() {
assert_eq!(calculate_nesting_depth("[abc]"), 1);
}
#[test]
fn test_mixed_nesting() {
assert_eq!(calculate_nesting_depth("([a-z]+)"), 2);
}
#[test]
fn test_escaped_parens() {
// Escaped parens shouldn't count toward nesting
assert_eq!(calculate_nesting_depth(r"\(abc\)"), 0);
}
#[test]
fn test_multiple_groups_same_level() {
assert_eq!(calculate_nesting_depth("(abc)(def)"), 1);
}
}
mod dangerous_pattern_detection {
use super::*;
#[test]
fn test_simple_quantifier_not_dangerous() {
assert!(!contains_dangerous_redos_pattern(r"a+"));
}
#[test]
fn test_simple_group_not_dangerous() {
assert!(!contains_dangerous_redos_pattern(r"(abc)"));
}
#[test]
fn test_quantified_group_not_dangerous() {
assert!(!contains_dangerous_redos_pattern(r"(abc)+"));
}
#[test]
fn test_alternation_not_dangerous() {
assert!(!contains_dangerous_redos_pattern(r"(a|b)+"));
}
}
}

View File

@@ -0,0 +1,272 @@
//! Input validation utilities for the Intelligence Layer
//!
//! This module provides validation functions for common input types
//! to prevent injection attacks, path traversal, and memory exhaustion.
//!
//! NOTE: Some functions are defined for future use and external API exposure.
#![allow(dead_code)] // Validation functions reserved for future API endpoints
use std::fmt;
/// Maximum length for identifier strings (agent_id, pipeline_id, skill_id, etc.)
pub const MAX_IDENTIFIER_LENGTH: usize = 128;
/// Minimum length for identifier strings
pub const MIN_IDENTIFIER_LENGTH: usize = 1;
/// Allowed characters in identifiers: alphanumeric, hyphen, underscore
const IDENTIFIER_ALLOWED_CHARS: &str = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-_";
/// Validation error types
#[derive(Debug, Clone)]
pub enum ValidationError {
/// Identifier is too long
IdentifierTooLong { field: String, max: usize, actual: usize },
/// Identifier is too short or empty
IdentifierTooShort { field: String, min: usize, actual: usize },
/// Identifier contains invalid characters
InvalidCharacters { field: String, invalid_chars: String },
/// String exceeds maximum length
StringTooLong { field: String, max: usize, actual: usize },
/// Required field is missing or empty
RequiredFieldEmpty { field: String },
}
impl fmt::Display for ValidationError {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
match self {
Self::IdentifierTooLong { field, max, actual } => {
write!(f, "Field '{}' is too long: {} characters (max: {})", field, actual, max)
}
Self::IdentifierTooShort { field, min, actual } => {
write!(f, "Field '{}' is too short: {} characters (min: {})", field, actual, min)
}
Self::InvalidCharacters { field, invalid_chars } => {
write!(f, "Field '{}' contains invalid characters: '{}'. Allowed: alphanumeric, '-', '_'", field, invalid_chars)
}
Self::StringTooLong { field, max, actual } => {
write!(f, "Field '{}' is too long: {} characters (max: {})", field, actual, max)
}
Self::RequiredFieldEmpty { field } => {
write!(f, "Required field '{}' is empty", field)
}
}
}
}
impl std::error::Error for ValidationError {}
/// Validate an identifier (agent_id, pipeline_id, skill_id, etc.)
///
/// # Rules
/// - Length: 1-128 characters
/// - Characters: alphanumeric, hyphen (-), underscore (_)
/// - Cannot start with hyphen or underscore
///
/// # Examples
/// ```ignore
/// use desktop_lib::intelligence::validation::validate_identifier;
///
/// assert!(validate_identifier("agent-123", "agent_id").is_ok());
/// assert!(validate_identifier("my_skill", "skill_id").is_ok());
/// assert!(validate_identifier("", "agent_id").is_err());
/// assert!(validate_identifier("invalid@id", "agent_id").is_err());
/// ```
pub fn validate_identifier(value: &str, field_name: &str) -> Result<(), ValidationError> {
let len = value.len();
// Check minimum length
if len < MIN_IDENTIFIER_LENGTH {
return Err(ValidationError::IdentifierTooShort {
field: field_name.to_string(),
min: MIN_IDENTIFIER_LENGTH,
actual: len,
});
}
// Check maximum length
if len > MAX_IDENTIFIER_LENGTH {
return Err(ValidationError::IdentifierTooLong {
field: field_name.to_string(),
max: MAX_IDENTIFIER_LENGTH,
actual: len,
});
}
// Check for invalid characters
let invalid_chars: String = value
.chars()
.filter(|c| !IDENTIFIER_ALLOWED_CHARS.contains(*c))
.collect();
if !invalid_chars.is_empty() {
return Err(ValidationError::InvalidCharacters {
field: field_name.to_string(),
invalid_chars,
});
}
// Cannot start with hyphen or underscore (reserved for system use)
if value.starts_with('-') || value.starts_with('_') {
return Err(ValidationError::InvalidCharacters {
field: field_name.to_string(),
invalid_chars: value.chars().next().unwrap().to_string(),
});
}
Ok(())
}
/// Validate a string field with a maximum length
///
/// # Arguments
/// * `value` - The string to validate
/// * `field_name` - Name of the field for error messages
/// * `max_length` - Maximum allowed length
///
/// # Examples
/// ```ignore
/// use desktop_lib::intelligence::validation::validate_string_length;
///
/// assert!(validate_string_length("hello", "message", 100).is_ok());
/// assert!(validate_string_length("", "message", 100).is_err());
/// ```
pub fn validate_string_length(value: &str, field_name: &str, max_length: usize) -> Result<(), ValidationError> {
let len = value.len();
if len == 0 {
return Err(ValidationError::RequiredFieldEmpty {
field: field_name.to_string(),
});
}
if len > max_length {
return Err(ValidationError::StringTooLong {
field: field_name.to_string(),
max: max_length,
actual: len,
});
}
Ok(())
}
/// Validate an optional identifier field
///
/// Returns Ok if the value is None or if it contains a valid identifier.
pub fn validate_optional_identifier(value: Option<&str>, field_name: &str) -> Result<(), ValidationError> {
match value {
None => Ok(()),
Some(v) if v.is_empty() => Ok(()), // Empty string treated as None
Some(v) => validate_identifier(v, field_name),
}
}
/// Validate a list of identifiers
pub fn validate_identifiers<'a, I>(values: I, field_name: &str) -> Result<(), ValidationError>
where
I: IntoIterator<Item = &'a str>,
{
for value in values {
validate_identifier(value, field_name)?;
}
Ok(())
}
/// Sanitize a string for safe logging (remove control characters, limit length)
pub fn sanitize_for_logging(value: &str, max_len: usize) -> String {
let sanitized: String = value
.chars()
.filter(|c| !c.is_control() || *c == '\n' || *c == '\t')
.take(max_len)
.collect();
if value.len() > max_len {
format!("{}...", sanitized)
} else {
sanitized
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_valid_identifiers() {
assert!(validate_identifier("agent-123", "agent_id").is_ok());
assert!(validate_identifier("my_skill", "skill_id").is_ok());
assert!(validate_identifier("Pipeline42", "pipeline_id").is_ok());
assert!(validate_identifier("a", "test").is_ok());
}
#[test]
fn test_invalid_identifiers() {
// Too short
assert!(matches!(
validate_identifier("", "agent_id"),
Err(ValidationError::IdentifierTooShort { .. })
));
// Too long
let long_id = "a".repeat(200);
assert!(matches!(
validate_identifier(&long_id, "agent_id"),
Err(ValidationError::IdentifierTooLong { .. })
));
// Invalid characters
assert!(matches!(
validate_identifier("invalid@id", "agent_id"),
Err(ValidationError::InvalidCharacters { .. })
));
assert!(matches!(
validate_identifier("invalid id", "agent_id"),
Err(ValidationError::InvalidCharacters { .. })
));
// Starts with reserved characters
assert!(matches!(
validate_identifier("-invalid", "agent_id"),
Err(ValidationError::InvalidCharacters { .. })
));
assert!(matches!(
validate_identifier("_invalid", "agent_id"),
Err(ValidationError::InvalidCharacters { .. })
));
}
#[test]
fn test_string_length_validation() {
assert!(validate_string_length("hello", "message", 100).is_ok());
assert!(matches!(
validate_string_length("", "message", 100),
Err(ValidationError::RequiredFieldEmpty { .. })
));
let long_string = "a".repeat(200);
assert!(matches!(
validate_string_length(&long_string, "message", 100),
Err(ValidationError::StringTooLong { .. })
));
}
#[test]
fn test_optional_identifier() {
assert!(validate_optional_identifier(None, "agent_id").is_ok());
assert!(validate_optional_identifier(Some(""), "agent_id").is_ok());
assert!(validate_optional_identifier(Some("valid-id"), "agent_id").is_ok());
assert!(validate_optional_identifier(Some("invalid@id"), "agent_id").is_err());
}
#[test]
fn test_sanitize_for_logging() {
assert_eq!(sanitize_for_logging("hello", 100), "hello");
assert_eq!(sanitize_for_logging("hello\x00world", 100), "helloworld");
assert_eq!(sanitize_for_logging("hello\nworld", 100), "hello\nworld");
assert_eq!(sanitize_for_logging("hello world", 5), "hello...");
}
}

View File

@@ -11,9 +11,25 @@ use tokio::sync::Mutex;
use zclaw_kernel::Kernel;
use zclaw_types::{AgentConfig, AgentId, AgentInfo};
use crate::intelligence::validation::{validate_identifier, validate_string_length};
/// Kernel state wrapper for Tauri
pub type KernelState = Arc<Mutex<Option<Kernel>>>;
/// Validate an agent ID string with clear error messages
fn validate_agent_id(agent_id: &str) -> Result<String, String> {
validate_identifier(agent_id, "agent_id")
.map_err(|e| format!("Invalid agent_id: {}", e))?;
Ok(agent_id.to_string())
}
/// Validate a generic ID string (for skills, hands, triggers, etc.)
fn validate_id(id: &str, field_name: &str) -> Result<String, String> {
validate_identifier(id, field_name)
.map_err(|e| format!("Invalid {}: {}", field_name, e))?;
Ok(id.to_string())
}
/// Agent creation request
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
@@ -295,6 +311,9 @@ pub async fn agent_get(
state: State<'_, KernelState>,
agent_id: String,
) -> Result<Option<AgentInfo>, String> {
// Validate input
let agent_id = validate_agent_id(&agent_id)?;
let kernel_lock = state.lock().await;
let kernel = kernel_lock.as_ref()
@@ -312,6 +331,9 @@ pub async fn agent_delete(
state: State<'_, KernelState>,
agent_id: String,
) -> Result<(), String> {
// Validate input
let agent_id = validate_agent_id(&agent_id)?;
let kernel_lock = state.lock().await;
let kernel = kernel_lock.as_ref()
@@ -331,6 +353,11 @@ pub async fn agent_chat(
state: State<'_, KernelState>,
request: ChatRequest,
) -> Result<ChatResponse, String> {
// Validate inputs
validate_agent_id(&request.agent_id)?;
validate_string_length(&request.message, "message", 100000)
.map_err(|e| format!("Invalid message: {}", e))?;
let kernel_lock = state.lock().await;
let kernel = kernel_lock.as_ref()
@@ -391,6 +418,11 @@ pub async fn agent_chat_stream(
state: State<'_, KernelState>,
request: StreamChatRequest,
) -> Result<(), String> {
// Validate inputs
validate_agent_id(&request.agent_id)?;
validate_string_length(&request.message, "message", 100000)
.map_err(|e| format!("Invalid message: {}", e))?;
// Parse agent ID first
let id: AgentId = request.agent_id.parse()
.map_err(|_| "Invalid agent ID format".to_string())?;
@@ -613,6 +645,9 @@ pub async fn skill_execute(
context: SkillContext,
input: serde_json::Value,
) -> Result<SkillResult, String> {
// Validate skill ID
let id = validate_id(&id, "skill_id")?;
let kernel_lock = state.lock().await;
let kernel = kernel_lock.as_ref()
@@ -760,3 +795,286 @@ pub async fn hand_execute(
Ok(HandResult::from(result))
}
// ============================================================
// Trigger Commands
// ============================================================
/// Trigger configuration for creation/update
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct TriggerConfigRequest {
pub id: String,
pub name: String,
pub hand_id: String,
pub trigger_type: TriggerTypeRequest,
#[serde(default = "default_trigger_enabled")]
pub enabled: bool,
#[serde(default)]
pub description: Option<String>,
#[serde(default)]
pub tags: Vec<String>,
}
fn default_trigger_enabled() -> bool { true }
/// Trigger type for API
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum TriggerTypeRequest {
Schedule { cron: String },
Event { pattern: String },
Webhook { path: String, secret: Option<String> },
MessagePattern { pattern: String },
FileSystem { path: String, events: Vec<String> },
Manual,
}
/// Trigger response
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct TriggerResponse {
pub id: String,
pub name: String,
pub hand_id: String,
pub trigger_type: TriggerTypeRequest,
pub enabled: bool,
pub created_at: String,
pub modified_at: String,
pub description: Option<String>,
pub tags: Vec<String>,
}
impl From<zclaw_kernel::trigger_manager::TriggerEntry> for TriggerResponse {
fn from(entry: zclaw_kernel::trigger_manager::TriggerEntry) -> Self {
let trigger_type = match entry.config.trigger_type {
zclaw_hands::TriggerType::Schedule { cron } => {
TriggerTypeRequest::Schedule { cron }
}
zclaw_hands::TriggerType::Event { pattern } => {
TriggerTypeRequest::Event { pattern }
}
zclaw_hands::TriggerType::Webhook { path, secret } => {
TriggerTypeRequest::Webhook { path, secret }
}
zclaw_hands::TriggerType::MessagePattern { pattern } => {
TriggerTypeRequest::MessagePattern { pattern }
}
zclaw_hands::TriggerType::FileSystem { path, events } => {
TriggerTypeRequest::FileSystem {
path,
events: events.iter().map(|e| format!("{:?}", e).to_lowercase()).collect(),
}
}
zclaw_hands::TriggerType::Manual => TriggerTypeRequest::Manual,
};
Self {
id: entry.config.id,
name: entry.config.name,
hand_id: entry.config.hand_id,
trigger_type,
enabled: entry.config.enabled,
created_at: entry.created_at.to_rfc3339(),
modified_at: entry.modified_at.to_rfc3339(),
description: entry.description,
tags: entry.tags,
}
}
}
/// List all triggers
#[tauri::command]
pub async fn trigger_list(
state: State<'_, KernelState>,
) -> Result<Vec<TriggerResponse>, String> {
let kernel_lock = state.lock().await;
let kernel = kernel_lock.as_ref()
.ok_or_else(|| "Kernel not initialized".to_string())?;
let triggers = kernel.list_triggers().await;
Ok(triggers.into_iter().map(TriggerResponse::from).collect())
}
/// Get a specific trigger
#[tauri::command]
pub async fn trigger_get(
state: State<'_, KernelState>,
id: String,
) -> Result<Option<TriggerResponse>, String> {
// Validate trigger ID
let id = validate_id(&id, "trigger_id")?;
let kernel_lock = state.lock().await;
let kernel = kernel_lock.as_ref()
.ok_or_else(|| "Kernel not initialized".to_string())?;
Ok(kernel.get_trigger(&id).await.map(TriggerResponse::from))
}
/// Create a new trigger
#[tauri::command]
pub async fn trigger_create(
state: State<'_, KernelState>,
request: TriggerConfigRequest,
) -> Result<TriggerResponse, String> {
let kernel_lock = state.lock().await;
let kernel = kernel_lock.as_ref()
.ok_or_else(|| "Kernel not initialized".to_string())?;
// Convert request to config
let trigger_type = match request.trigger_type {
TriggerTypeRequest::Schedule { cron } => {
zclaw_hands::TriggerType::Schedule { cron }
}
TriggerTypeRequest::Event { pattern } => {
zclaw_hands::TriggerType::Event { pattern }
}
TriggerTypeRequest::Webhook { path, secret } => {
zclaw_hands::TriggerType::Webhook { path, secret }
}
TriggerTypeRequest::MessagePattern { pattern } => {
zclaw_hands::TriggerType::MessagePattern { pattern }
}
TriggerTypeRequest::FileSystem { path, events } => {
zclaw_hands::TriggerType::FileSystem {
path,
events: events.iter().filter_map(|e| match e.as_str() {
"created" => Some(zclaw_hands::FileEvent::Created),
"modified" => Some(zclaw_hands::FileEvent::Modified),
"deleted" => Some(zclaw_hands::FileEvent::Deleted),
"any" => Some(zclaw_hands::FileEvent::Any),
_ => None,
}).collect(),
}
}
TriggerTypeRequest::Manual => zclaw_hands::TriggerType::Manual,
};
let config = zclaw_hands::TriggerConfig {
id: request.id,
name: request.name,
hand_id: request.hand_id,
trigger_type,
enabled: request.enabled,
max_executions_per_hour: 10,
};
let entry = kernel.create_trigger(config).await
.map_err(|e| format!("Failed to create trigger: {}", e))?;
Ok(TriggerResponse::from(entry))
}
/// Update a trigger
#[tauri::command]
pub async fn trigger_update(
state: State<'_, KernelState>,
id: String,
name: Option<String>,
enabled: Option<bool>,
hand_id: Option<String>,
) -> Result<TriggerResponse, String> {
let kernel_lock = state.lock().await;
let kernel = kernel_lock.as_ref()
.ok_or_else(|| "Kernel not initialized".to_string())?;
let update = zclaw_kernel::trigger_manager::TriggerUpdateRequest {
name,
enabled,
hand_id,
trigger_type: None,
};
let entry = kernel.update_trigger(&id, update).await
.map_err(|e| format!("Failed to update trigger: {}", e))?;
Ok(TriggerResponse::from(entry))
}
/// Delete a trigger
#[tauri::command]
pub async fn trigger_delete(
state: State<'_, KernelState>,
id: String,
) -> Result<(), String> {
// Validate trigger ID
let id = validate_id(&id, "trigger_id")?;
let kernel_lock = state.lock().await;
let kernel = kernel_lock.as_ref()
.ok_or_else(|| "Kernel not initialized".to_string())?;
kernel.delete_trigger(&id).await
.map_err(|e| format!("Failed to delete trigger: {}", e))
}
/// Execute a trigger manually
#[tauri::command]
pub async fn trigger_execute(
state: State<'_, KernelState>,
id: String,
input: serde_json::Value,
) -> Result<serde_json::Value, String> {
// Validate trigger ID
let id = validate_id(&id, "trigger_id")?;
let kernel_lock = state.lock().await;
let kernel = kernel_lock.as_ref()
.ok_or_else(|| "Kernel not initialized".to_string())?;
let result = kernel.execute_trigger(&id, input).await
.map_err(|e| format!("Failed to execute trigger: {}", e))?;
Ok(serde_json::to_value(result).unwrap_or(serde_json::json!({})))
}
// ============================================================
// Approval Commands
// ============================================================
/// Approval response
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct ApprovalResponse {
pub id: String,
pub hand_id: String,
pub status: String,
pub created_at: String,
pub input: serde_json::Value,
}
/// List pending approvals
#[tauri::command]
pub async fn approval_list(
state: State<'_, KernelState>,
) -> Result<Vec<ApprovalResponse>, String> {
let kernel_lock = state.lock().await;
let kernel = kernel_lock.as_ref()
.ok_or_else(|| "Kernel not initialized".to_string())?;
let approvals = kernel.list_approvals().await;
Ok(approvals.into_iter().map(|a| ApprovalResponse {
id: a.id,
hand_id: a.hand_id,
status: a.status,
created_at: a.created_at.to_rfc3339(),
input: a.input,
}).collect())
}
/// Respond to an approval
#[tauri::command]
pub async fn approval_respond(
state: State<'_, KernelState>,
id: String,
approved: bool,
reason: Option<String>,
) -> Result<(), String> {
let kernel_lock = state.lock().await;
let kernel = kernel_lock.as_ref()
.ok_or_else(|| "Kernel not initialized".to_string())?;
kernel.respond_to_approval(&id, approved, reason).await
.map_err(|e| format!("Failed to respond to approval: {}", e))
}

View File

@@ -965,6 +965,7 @@ fn openfang_version(app: AppHandle) -> Result<VersionResponse, String> {
/// Health status enum
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "lowercase")]
#[allow(dead_code)] // Reserved for future health check expansion
enum HealthStatus {
Healthy,
Unhealthy,
@@ -1313,6 +1314,7 @@ pub fn run() {
let heartbeat_state: intelligence::HeartbeatEngineState = std::sync::Arc::new(tokio::sync::Mutex::new(std::collections::HashMap::new()));
let reflection_state: intelligence::ReflectionEngineState = std::sync::Arc::new(tokio::sync::Mutex::new(intelligence::ReflectionEngine::new(None)));
let identity_state: intelligence::IdentityManagerState = std::sync::Arc::new(tokio::sync::Mutex::new(intelligence::AgentIdentityManager::new()));
let persona_evolver_state: intelligence::PersonaEvolverStateHandle = std::sync::Arc::new(tokio::sync::Mutex::new(intelligence::PersonaEvolver::new(None)));
// Initialize internal ZCLAW Kernel state
let kernel_state = kernel_commands::create_kernel_state();
@@ -1327,6 +1329,7 @@ pub fn run() {
.manage(heartbeat_state)
.manage(reflection_state)
.manage(identity_state)
.manage(persona_evolver_state)
.manage(kernel_state)
.manage(pipeline_state)
.invoke_handler(tauri::generate_handler![
@@ -1436,6 +1439,16 @@ pub fn run() {
memory_commands::memory_get,
memory_commands::memory_search,
memory_commands::memory_delete,
// Trigger management commands
kernel_commands::trigger_list,
kernel_commands::trigger_get,
kernel_commands::trigger_create,
kernel_commands::trigger_update,
kernel_commands::trigger_delete,
kernel_commands::trigger_execute,
// Approval management commands
kernel_commands::approval_list,
kernel_commands::approval_respond,
memory_commands::memory_delete_all,
memory_commands::memory_stats,
memory_commands::memory_export,
@@ -1479,7 +1492,24 @@ pub fn run() {
intelligence::identity::identity_get_snapshots,
intelligence::identity::identity_restore_snapshot,
intelligence::identity::identity_list_agents,
intelligence::identity::identity_delete_agent
intelligence::identity::identity_delete_agent,
// Adaptive Intelligence Mesh (Phase 4)
intelligence::mesh::mesh_init,
intelligence::mesh::mesh_analyze,
intelligence::mesh::mesh_record_activity,
intelligence::mesh::mesh_get_patterns,
intelligence::mesh::mesh_update_config,
intelligence::mesh::mesh_decay_patterns,
intelligence::mesh::mesh_accept_recommendation,
intelligence::mesh::mesh_dismiss_recommendation,
// Persona Evolver (Phase 4)
intelligence::persona_evolver::persona_evolver_init,
intelligence::persona_evolver::persona_evolve,
intelligence::persona_evolver::persona_evolution_history,
intelligence::persona_evolver::persona_evolver_state,
intelligence::persona_evolver::persona_evolver_config,
intelligence::persona_evolver::persona_evolver_update_config,
intelligence::persona_evolver::persona_apply_proposal
])
.run(tauri::generate_context!())
.expect("error while running tauri application");

View File

@@ -1,6 +1,10 @@
//! Memory Encryption Module
//!
//! Provides AES-256-GCM encryption for sensitive memory content.
//!
//! NOTE: Some constants and types are defined for future use.
#![allow(dead_code)] // Crypto utilities reserved for future encryption features
use aes_gcm::{
aead::{Aead, KeyInit, OsRng},

View File

@@ -59,6 +59,7 @@ impl<'r> sqlx::FromRow<'r, SqliteRow> for PersistentMemory {
pub struct MemorySearchQuery {
pub agent_id: Option<String>,
pub memory_type: Option<String>,
#[allow(dead_code)] // Reserved for future tag-based filtering
pub tags: Option<Vec<String>>,
pub query: Option<String>,
pub min_importance: Option<i32>,

View File

@@ -7,11 +7,11 @@ use std::path::PathBuf;
use std::sync::Arc;
use tauri::{AppHandle, Emitter, State};
use serde::{Deserialize, Serialize};
use tokio::sync::{Mutex, RwLock};
use tokio::sync::RwLock;
use serde_json::Value;
use zclaw_pipeline::{
Pipeline, PipelineRun, PipelineProgress, RunStatus,
Pipeline, RunStatus,
parse_pipeline_yaml,
PipelineExecutor,
ActionRegistry,
@@ -146,7 +146,7 @@ pub async fn pipeline_list(
// Update state
let mut state_pipelines = state.pipelines.write().await;
let mut state_paths = state.pipeline_paths.write().await;
let state_paths = state.pipeline_paths.write().await;
for info in &pipelines {
if let Some(path) = state_paths.get(&info.id) {

View File

@@ -21,7 +21,6 @@ import {
Grid,
Volume2,
VolumeX,
Settings,
Download,
Share2,
} from 'lucide-react';
@@ -78,7 +77,7 @@ interface SceneRendererProps {
showNarration: boolean;
}
function SceneRenderer({ scene, isPlaying, showNarration }: SceneRendererProps) {
function SceneRenderer({ scene, showNarration }: SceneRendererProps) {
const renderContent = () => {
switch (scene.type) {
case 'title':
@@ -240,7 +239,7 @@ function OutlinePanel({
{section.title}
</p>
<div className="space-y-1">
{section.scenes.map((sceneId, sceneIndex) => {
{section.scenes.map((sceneId) => {
const globalIndex = scenes.findIndex(s => s.id === sceneId);
const isActive = globalIndex === currentIndex;
const scene = scenes.find(s => s.id === sceneId);
@@ -271,7 +270,6 @@ function OutlinePanel({
export function ClassroomPreviewer({
data,
onClose,
onExport,
}: ClassroomPreviewerProps) {
const [currentSceneIndex, setCurrentSceneIndex] = useState(0);
@@ -281,7 +279,7 @@ export function ClassroomPreviewer({
const [isFullscreen, setIsFullscreen] = useState(false);
const [viewMode, setViewMode] = useState<'slides' | 'grid'>('slides');
const { showToast } = useToast();
const { toast } = useToast();
const currentScene = data.scenes[currentSceneIndex];
const totalScenes = data.scenes.length;
@@ -310,12 +308,12 @@ export function ClassroomPreviewer({
nextScene();
} else {
setIsPlaying(false);
showToast('课堂播放完成', 'success');
toast('课堂播放完成', 'success');
}
}, duration);
return () => clearTimeout(timer);
}, [isPlaying, currentSceneIndex, currentScene, totalScenes, nextScene, showToast]);
}, [isPlaying, currentSceneIndex, currentScene, totalScenes, nextScene, toast]);
// Keyboard navigation
useEffect(() => {
@@ -352,7 +350,7 @@ export function ClassroomPreviewer({
if (onExport) {
onExport(format);
} else {
showToast(`导出 ${format.toUpperCase()} 功能开发中...`, 'info');
toast(`导出 ${format.toUpperCase()} 功能开发中...`, 'info');
}
};

View File

@@ -32,7 +32,7 @@ interface PipelineResultPreviewProps {
onClose?: () => void;
}
type PreviewMode = 'auto' | 'json' | 'markdown' | 'classroom';
type PreviewMode = 'auto' | 'json' | 'markdown' | 'classroom' | 'files';
// === Utility Functions ===
@@ -123,14 +123,14 @@ interface JsonPreviewProps {
function JsonPreview({ data }: JsonPreviewProps) {
const [copied, setCopied] = useState(false);
const { showToast } = useToast();
const { toast } = useToast();
const jsonString = JSON.stringify(data, null, 2);
const handleCopy = async () => {
await navigator.clipboard.writeText(jsonString);
setCopied(true);
showToast('已复制到剪贴板', 'success');
toast('已复制到剪贴板', 'success');
setTimeout(() => setCopied(false), 2000);
};
@@ -190,7 +190,6 @@ export function PipelineResultPreview({
onClose,
}: PipelineResultPreviewProps) {
const [mode, setMode] = useState<PreviewMode>('auto');
const { showToast } = useToast();
// Determine the best preview mode
const outputs = result.outputs as Record<string, unknown> | undefined;

View File

@@ -7,16 +7,13 @@
* Pipelines orchestrate Skills and Hands to accomplish complex tasks.
*/
import { useState, useEffect, useCallback } from 'react';
import { useState } from 'react';
import {
Play,
RefreshCw,
Search,
ChevronRight,
Loader2,
CheckCircle,
XCircle,
Clock,
Package,
Filter,
X,
@@ -26,7 +23,6 @@ import {
PipelineInfo,
PipelineRunResponse,
usePipelines,
usePipelineRun,
validateInputs,
getDefaultForType,
formatInputType,
@@ -378,7 +374,7 @@ export function PipelinesPanel() {
const [selectedCategory, setSelectedCategory] = useState<string | null>(null);
const [searchQuery, setSearchQuery] = useState('');
const [selectedPipeline, setSelectedPipeline] = useState<PipelineInfo | null>(null);
const { showToast } = useToast();
const { toast } = useToast();
const { pipelines, loading, error, refresh } = usePipelines({
category: selectedCategory ?? undefined,
@@ -406,9 +402,9 @@ export function PipelinesPanel() {
const handleRunComplete = (result: PipelineRunResponse) => {
setSelectedPipeline(null);
if (result.status === 'completed') {
showToast('Pipeline 执行完成', 'success');
toast('Pipeline 执行完成', 'success');
} else {
showToast(`Pipeline 执行失败: ${result.error}`, 'error');
toast(`Pipeline 执行失败: ${result.error}`, 'error');
}
};

View File

@@ -1,21 +1,208 @@
import { useEffect } from 'react';
import { Radio, RefreshCw, MessageCircle, Settings2 } from 'lucide-react';
/**
* IMChannels - IM Channel Management UI
*
* Displays and manages IM channel configurations.
* Supports viewing, configuring, and adding new channels.
*/
import { useState, useEffect } from 'react';
import { Radio, RefreshCw, MessageCircle, Settings2, Plus, X, Check, AlertCircle, ExternalLink } from 'lucide-react';
import { useConnectionStore } from '../../store/connectionStore';
import { useConfigStore } from '../../store/configStore';
import { useConfigStore, type ChannelInfo } from '../../store/configStore';
import { useAgentStore } from '../../store/agentStore';
const CHANNEL_ICONS: Record<string, string> = {
feishu: '飞',
qqbot: 'QQ',
wechat: '微',
discord: 'D',
slack: 'S',
telegram: 'T',
};
const CHANNEL_CONFIG_FIELDS: Record<string, { key: string; label: string; type: string; placeholder: string; required: boolean }[]> = {
feishu: [
{ key: 'appId', label: 'App ID', type: 'text', placeholder: 'cli_xxx', required: true },
{ key: 'appSecret', label: 'App Secret', type: 'password', placeholder: '••••••••', required: true },
],
discord: [
{ key: 'botToken', label: 'Bot Token', type: 'password', placeholder: 'OTk2NzY4...', required: true },
{ key: 'guildId', label: 'Guild ID (可选)', type: 'text', placeholder: '123456789', required: false },
],
slack: [
{ key: 'botToken', label: 'Bot Token', type: 'password', placeholder: 'xoxb-...', required: true },
{ key: 'appToken', label: 'App Token', type: 'password', placeholder: 'xapp-...', required: false },
],
telegram: [
{ key: 'botToken', label: 'Bot Token', type: 'password', placeholder: '123456:ABC...', required: true },
],
qqbot: [
{ key: 'appId', label: 'App ID', type: 'text', placeholder: '1234567890', required: true },
{ key: 'token', label: 'Token', type: 'password', placeholder: '••••••••', required: true },
],
wechat: [
{ key: 'corpId', label: 'Corp ID', type: 'text', placeholder: 'wwxxx', required: true },
{ key: 'agentId', label: 'Agent ID', type: 'text', placeholder: '1000001', required: true },
{ key: 'secret', label: 'Secret', type: 'password', placeholder: '••••••••', required: true },
],
};
const KNOWN_CHANNELS = [
{ type: 'feishu', label: '飞书 (Feishu/Lark)', description: '企业即时通讯平台' },
{ type: 'discord', label: 'Discord', description: '游戏社区和语音聊天' },
{ type: 'slack', label: 'Slack', description: '团队协作平台' },
{ type: 'telegram', label: 'Telegram', description: '加密即时通讯' },
{ type: 'qqbot', label: 'QQ 机器人', description: '腾讯QQ官方机器人' },
{ type: 'wechat', label: '企业微信', description: '企业微信机器人' },
];
interface ChannelConfigModalProps {
channel: ChannelInfo | null;
channelType: string | null;
isOpen: boolean;
onClose: () => void;
onSave: (config: Record<string, string>) => Promise<void>;
isSaving: boolean;
}
function ChannelConfigModal({ channel, channelType, isOpen, onClose, onSave, isSaving }: ChannelConfigModalProps) {
const [config, setConfig] = useState<Record<string, string>>({});
const [error, setError] = useState<string | null>(null);
const fields = channelType ? CHANNEL_CONFIG_FIELDS[channelType] || [] : [];
useEffect(() => {
if (channel?.config) {
setConfig(channel.config as Record<string, string>);
} else {
setConfig({});
}
setError(null);
}, [channel, channelType]);
if (!isOpen || !channelType) return null;
const handleSubmit = async (e: React.FormEvent) => {
e.preventDefault();
setError(null);
// Validate required fields
for (const field of fields) {
if (field.required && !config[field.key]?.trim()) {
setError(`请填写 ${field.label}`);
return;
}
}
try {
await onSave(config);
onClose();
} catch (err) {
setError(err instanceof Error ? err.message : '保存失败');
}
};
const channelInfo = KNOWN_CHANNELS.find(c => c.type === channelType);
return (
<div className="fixed inset-0 bg-black/50 flex items-center justify-center z-50">
<div className="bg-white dark:bg-gray-800 rounded-xl shadow-xl w-full max-w-md mx-4">
<div className="flex items-center justify-between p-4 border-b border-gray-200 dark:border-gray-700">
<h3 className="text-lg font-semibold text-gray-900 dark:text-white">
{channel ? `配置 ${channel.label}` : `添加 ${channelInfo?.label || channelType}`}
</h3>
<button
onClick={onClose}
className="p-1 hover:bg-gray-100 dark:hover:bg-gray-700 rounded"
>
<X className="w-5 h-5 text-gray-500" />
</button>
</div>
<form onSubmit={handleSubmit} className="p-4 space-y-4">
{channelInfo && (
<p className="text-sm text-gray-500 dark:text-gray-400">
{channelInfo.description}
</p>
)}
{fields.length === 0 ? (
<div className="text-center py-8 text-gray-500 dark:text-gray-400">
<AlertCircle className="w-8 h-8 mx-auto mb-2 opacity-50" />
<p> UI </p>
<p className="text-xs mt-1"> CLI </p>
</div>
) : (
fields.map((field) => (
<div key={field.key}>
<label className="block text-sm font-medium text-gray-700 dark:text-gray-300 mb-1">
{field.label}
{field.required && <span className="text-red-500 ml-1">*</span>}
</label>
<input
type={field.type}
value={config[field.key] || ''}
onChange={(e) => setConfig({ ...config, [field.key]: e.target.value })}
placeholder={field.placeholder}
className="w-full px-3 py-2 border border-gray-300 dark:border-gray-600 rounded-lg bg-white dark:bg-gray-900 text-gray-900 dark:text-white focus:ring-2 focus:ring-blue-500 focus:border-transparent"
/>
</div>
))
)}
{error && (
<div className="p-3 bg-red-50 dark:bg-red-900/20 border border-red-200 dark:border-red-800 rounded-lg text-sm text-red-600 dark:text-red-400">
{error}
</div>
)}
{fields.length > 0 && (
<div className="flex gap-3 pt-2">
<button
type="button"
onClick={onClose}
className="flex-1 px-4 py-2 border border-gray-300 dark:border-gray-600 rounded-lg text-gray-700 dark:text-gray-300 hover:bg-gray-50 dark:hover:bg-gray-700"
>
</button>
<button
type="submit"
disabled={isSaving}
className="flex-1 px-4 py-2 bg-blue-600 text-white rounded-lg hover:bg-blue-700 disabled:opacity-50 flex items-center justify-center gap-2"
>
{isSaving ? (
<>
<RefreshCw className="w-4 h-4 animate-spin" />
...
</>
) : (
<>
<Check className="w-4 h-4" />
</>
)}
</button>
</div>
)}
</form>
</div>
</div>
);
}
export function IMChannels() {
const channels = useConfigStore((s) => s.channels);
const loadChannels = useConfigStore((s) => s.loadChannels);
const createChannel = useConfigStore((s) => s.createChannel);
const updateChannel = useConfigStore((s) => s.updateChannel);
const connectionState = useConnectionStore((s) => s.connectionState);
const loadPluginStatus = useAgentStore((s) => s.loadPluginStatus);
const [isModalOpen, setIsModalOpen] = useState(false);
const [selectedChannel, setSelectedChannel] = useState<ChannelInfo | null>(null);
const [newChannelType, setNewChannelType] = useState<string | null>(null);
const [isSaving, setIsSaving] = useState(false);
const [showAddMenu, setShowAddMenu] = useState(false);
const connected = connectionState === 'connected';
const loading = connectionState === 'connecting' || connectionState === 'reconnecting' || connectionState === 'handshaking';
@@ -29,20 +216,47 @@ export function IMChannels() {
loadPluginStatus().then(() => loadChannels());
};
const knownChannels = [
{ id: 'feishu', type: 'feishu', label: '飞书 (Feishu)' },
{ id: 'qqbot', type: 'qqbot', label: 'QQ 机器人' },
{ id: 'wechat', type: 'wechat', label: '微信' },
];
const handleConfigure = (channel: ChannelInfo) => {
setSelectedChannel(channel);
setNewChannelType(channel.type);
setIsModalOpen(true);
};
const availableChannels = knownChannels.filter(
const handleAddChannel = (type: string) => {
setSelectedChannel(null);
setNewChannelType(type);
setIsModalOpen(true);
setShowAddMenu(false);
};
const handleSaveConfig = async (config: Record<string, string>) => {
setIsSaving(true);
try {
if (selectedChannel) {
await updateChannel(selectedChannel.id, { config });
} else if (newChannelType) {
const channelInfo = KNOWN_CHANNELS.find(c => c.type === newChannelType);
await createChannel({
type: newChannelType,
name: channelInfo?.label || newChannelType,
config,
enabled: true,
});
}
await loadChannels();
} finally {
setIsSaving(false);
}
};
const availableChannels = KNOWN_CHANNELS.filter(
(channel) => !channels.some((item) => item.type === channel.type)
);
return (
<div className="max-w-3xl">
<div className="flex justify-between items-center mb-6">
<h1 className="text-xl font-bold text-gray-900">IM </h1>
<h1 className="text-xl font-bold text-gray-900 dark:text-white">IM </h1>
<div className="flex gap-2">
<span className="text-xs text-gray-400 flex items-center">
{connected ? `${channels.length} 个已识别频道` : loading ? '连接中...' : '未连接 Gateway'}
@@ -58,12 +272,12 @@ export function IMChannels() {
</div>
{!connected ? (
<div className="bg-white rounded-xl border border-gray-200 h-64 flex flex-col items-center justify-center mb-6 shadow-sm text-gray-400">
<div className="bg-white dark:bg-gray-800 rounded-xl border border-gray-200 dark:border-gray-700 h-64 flex flex-col items-center justify-center mb-6 shadow-sm text-gray-400">
<Radio className="w-8 h-8 mb-3 opacity-40" />
<span className="text-sm"> Gateway IM </span>
</div>
) : (
<div className="bg-white rounded-xl border border-gray-200 mb-6 shadow-sm divide-y divide-gray-100">
<div className="bg-white dark:bg-gray-800 rounded-xl border border-gray-200 dark:border-gray-700 mb-6 shadow-sm divide-y divide-gray-100 dark:divide-gray-700">
{channels.length > 0 ? channels.map((channel) => (
<div key={channel.id} className="p-4 flex items-center gap-4">
<div className={`w-10 h-10 rounded-xl flex items-center justify-center text-white text-sm font-semibold ${
@@ -71,24 +285,30 @@ export function IMChannels() {
? 'bg-gradient-to-br from-blue-500 to-indigo-500'
: channel.status === 'error'
? 'bg-gradient-to-br from-red-500 to-rose-500'
: 'bg-gray-300'
: 'bg-gray-300 dark:bg-gray-600'
}`}>
{CHANNEL_ICONS[channel.type] || <MessageCircle className="w-4 h-4" />}
</div>
<div className="flex-1 min-w-0">
<div className="text-sm font-medium text-gray-900">{channel.label}</div>
<div className="text-sm font-medium text-gray-900 dark:text-white">{channel.label}</div>
<div className={`text-xs mt-1 ${
channel.status === 'active'
? 'text-green-600'
? 'text-green-600 dark:text-green-400'
: channel.status === 'error'
? 'text-red-500'
? 'text-red-500 dark:text-red-400'
: 'text-gray-400'
}`}>
{channel.status === 'active' ? '已连接' : channel.status === 'error' ? channel.error || '错误' : '未配置'}
{channel.accounts !== undefined && channel.accounts > 0 ? ` · ${channel.accounts} 个账号` : ''}
</div>
</div>
<div className="text-xs text-gray-400">{channel.type}</div>
<button
onClick={() => handleConfigure(channel)}
className="p-2 text-gray-400 hover:text-blue-600 dark:hover:text-blue-400 hover:bg-gray-100 dark:hover:bg-gray-700 rounded-lg transition-colors"
title="配置"
>
<Settings2 className="w-4 h-4" />
</button>
</div>
)) : (
<div className="h-40 flex items-center justify-center text-sm text-gray-400">
@@ -98,23 +318,88 @@ export function IMChannels() {
</div>
)}
{/* Add Channel Section */}
{connected && availableChannels.length > 0 && (
<div className="mb-6">
<div className="flex items-center justify-between mb-3">
<div className="text-xs text-gray-500 dark:text-gray-400"></div>
<div className="relative">
<button
onClick={() => setShowAddMenu(!showAddMenu)}
className="text-xs text-white bg-blue-500 hover:bg-blue-600 px-3 py-1.5 rounded-lg flex items-center gap-1 transition-colors"
>
<Plus className="w-3 h-3" />
</button>
{showAddMenu && (
<div className="absolute right-0 mt-1 w-48 bg-white dark:bg-gray-800 rounded-lg shadow-lg border border-gray-200 dark:border-gray-700 z-10">
{availableChannels.map((channel) => (
<button
key={channel.type}
onClick={() => handleAddChannel(channel.type)}
className="w-full px-4 py-2 text-left text-sm hover:bg-gray-100 dark:hover:bg-gray-700 first:rounded-t-lg last:rounded-b-lg flex items-center gap-2"
>
<span className="w-6 h-6 rounded bg-gray-100 dark:bg-gray-700 flex items-center justify-center text-xs">
{CHANNEL_ICONS[channel.type] || '?'}
</span>
<div>
<div className="font-medium text-gray-900 dark:text-white">{channel.label}</div>
<div className="text-xs text-gray-500">{channel.description}</div>
</div>
</button>
))}
</div>
)}
</div>
</div>
</div>
)}
{/* Planned Channels */}
<div>
<div className="text-xs text-gray-500 mb-3"></div>
<div className="text-xs text-gray-500 dark:text-gray-400 mb-3"></div>
<div className="flex flex-wrap gap-3">
{availableChannels.map((channel) => (
<span
key={channel.id}
className="text-xs text-gray-500 bg-gray-100 px-4 py-2 rounded-lg"
key={channel.type}
className="text-xs text-gray-500 dark:text-gray-400 bg-gray-100 dark:bg-gray-700 px-4 py-2 rounded-lg"
>
{channel.label}
</span>
))}
<div className="text-xs text-gray-400 flex items-center gap-1">
<Settings2 className="w-3 h-3" />
channelaccountbinding Gateway
{availableChannels.length === 0 && (
<div className="text-xs text-green-600 dark:text-green-400 flex items-center gap-1">
<Check className="w-3 h-3" />
</div>
)}
</div>
</div>
{/* External Link Notice */}
<div className="mt-6 p-4 bg-blue-50 dark:bg-blue-900/20 rounded-lg border border-blue-200 dark:border-blue-800">
<div className="flex items-start gap-2">
<ExternalLink className="w-4 h-4 text-blue-500 mt-0.5" />
<div className="text-xs text-blue-700 dark:text-blue-300">
<p className="font-medium mb-1"></p>
<p> Gateway </p>
<p className="mt-1">: <code className="bg-blue-100 dark:bg-blue-800 px-1 rounded">~/.openfang/openfang.toml</code></p>
</div>
</div>
</div>
{/* Config Modal */}
<ChannelConfigModal
channel={selectedChannel}
channelType={newChannelType}
isOpen={isModalOpen}
onClose={() => {
setIsModalOpen(false);
setSelectedChannel(null);
setNewChannelType(null);
}}
onSave={handleSaveConfig}
isSaving={isSaving}
/>
</div>
);
}

View File

@@ -0,0 +1,382 @@
/**
* SecureStorage - OS Keyring/Keychain Management UI
*
* Allows users to view, add, and delete securely stored credentials
* using the OS keyring (Windows DPAPI, macOS Keychain, Linux Secret Service).
*/
import { useState, useEffect } from 'react';
import {
Key,
Plus,
Trash2,
Eye,
EyeOff,
RefreshCw,
AlertCircle,
CheckCircle,
Shield,
ShieldOff,
} from 'lucide-react';
import { secureStorage, isSecureStorageAvailable } from '../../lib/secure-storage';
interface StoredKey {
key: string;
hasValue: boolean;
preview?: string;
}
// Known storage keys used by the application
const KNOWN_KEYS = [
{ key: 'zclaw_api_key', label: 'API Key', description: 'LLM API 密钥' },
{ key: 'zclaw_device_keys_private', label: 'Device Private Key', description: '设备私钥 (Ed25519)' },
{ key: 'zclaw_gateway_token', label: 'Gateway Token', description: 'Gateway 认证令牌' },
{ key: 'zclaw_feishu_secret', label: '飞书 Secret', description: '飞书应用密钥' },
{ key: 'zclaw_discord_token', label: 'Discord Token', description: 'Discord Bot Token' },
{ key: 'zclaw_slack_token', label: 'Slack Token', description: 'Slack Bot Token' },
{ key: 'zclaw_telegram_token', label: 'Telegram Token', description: 'Telegram Bot Token' },
];
export function SecureStorage() {
const [isAvailable, setIsAvailable] = useState<boolean | null>(null);
const [storedKeys, setStoredKeys] = useState<StoredKey[]>([]);
const [isLoading, setIsLoading] = useState(true);
const [showAddForm, setShowAddForm] = useState(false);
const [newKey, setNewKey] = useState('');
const [newValue, setNewValue] = useState('');
const [showValue, setShowValue] = useState<Record<string, boolean>>({});
const [revealedValues, setRevealedValues] = useState<Record<string, string>>({});
const [isSaving, setIsSaving] = useState(false);
const [isDeleting, setIsDeleting] = useState<string | null>(null);
const [message, setMessage] = useState<{ type: 'success' | 'error'; text: string } | null>(null);
const loadStoredKeys = async () => {
setIsLoading(true);
try {
const available = await isSecureStorageAvailable();
setIsAvailable(available);
const keys: StoredKey[] = [];
for (const knownKey of KNOWN_KEYS) {
const value = await secureStorage.get(knownKey.key);
keys.push({
key: knownKey.key,
hasValue: !!value,
preview: value ? `${value.slice(0, 8)}${value.length > 8 ? '...' : ''}` : undefined,
});
}
setStoredKeys(keys);
} catch (error) {
console.error('Failed to load stored keys:', error);
} finally {
setIsLoading(false);
}
};
useEffect(() => {
loadStoredKeys();
}, []);
const handleReveal = async (key: string) => {
if (revealedValues[key]) {
// Hide if already revealed
setRevealedValues((prev) => {
const next = { ...prev };
delete next[key];
return next;
});
setShowValue((prev) => ({ ...prev, [key]: false }));
} else {
// Reveal the value
const value = await secureStorage.get(key);
if (value) {
setRevealedValues((prev) => ({ ...prev, [key]: value }));
setShowValue((prev) => ({ ...prev, [key]: true }));
}
}
};
const handleAddKey = async () => {
if (!newKey.trim() || !newValue.trim()) {
setMessage({ type: 'error', text: '请填写密钥名称和值' });
return;
}
setIsSaving(true);
setMessage(null);
try {
await secureStorage.set(newKey.trim(), newValue.trim());
setMessage({ type: 'success', text: '密钥已保存' });
setNewKey('');
setNewValue('');
setShowAddForm(false);
await loadStoredKeys();
} catch (error) {
setMessage({ type: 'error', text: `保存失败: ${error instanceof Error ? error.message : '未知错误'}` });
} finally {
setIsSaving(false);
}
};
const handleDeleteKey = async (key: string) => {
if (!confirm(`确定要删除密钥 "${key}" 吗?此操作无法撤销。`)) {
return;
}
setIsDeleting(key);
setMessage(null);
try {
await secureStorage.delete(key);
setMessage({ type: 'success', text: '密钥已删除' });
setRevealedValues((prev) => {
const next = { ...prev };
delete next[key];
return next;
});
await loadStoredKeys();
} catch (error) {
setMessage({ type: 'error', text: `删除失败: ${error instanceof Error ? error.message : '未知错误'}` });
} finally {
setIsDeleting(null);
}
};
const getKeyLabel = (key: string) => {
const known = KNOWN_KEYS.find((k) => k.key === key);
return known ? known.label : key;
};
const getKeyDescription = (key: string) => {
const known = KNOWN_KEYS.find((k) => k.key === key);
return known?.description;
};
return (
<div className="max-w-3xl">
<div className="flex justify-between items-center mb-6">
<div>
<h1 className="text-xl font-bold text-gray-900 dark:text-white"></h1>
<p className="text-xs text-gray-500 dark:text-gray-400 mt-1">
使 (Keyring/Keychain)
</p>
</div>
<div className="flex gap-2 items-center">
{isAvailable !== null && (
<span className={`text-xs flex items-center gap-1 ${isAvailable ? 'text-green-600' : 'text-amber-600'}`}>
{isAvailable ? (
<>
<Shield className="w-3 h-3" /> Keyring
</>
) : (
<>
<ShieldOff className="w-3 h-3" /> 使
</>
)}
</span>
)}
<button
onClick={loadStoredKeys}
disabled={isLoading}
className="text-xs text-white bg-orange-500 hover:bg-orange-600 px-3 py-1.5 rounded-lg flex items-center gap-1 transition-colors disabled:opacity-50"
>
<RefreshCw className={`w-3 h-3 ${isLoading ? 'animate-spin' : ''}`} />
</button>
</div>
</div>
{/* Status Banner */}
{isAvailable === false && (
<div className="mb-6 p-4 bg-amber-50 dark:bg-amber-900/20 border border-amber-200 dark:border-amber-800 rounded-lg">
<div className="flex items-start gap-2">
<AlertCircle className="w-4 h-4 text-amber-500 mt-0.5" />
<div className="text-xs text-amber-700 dark:text-amber-300">
<p className="font-medium">Keyring </p>
<p className="mt-1">
使 AES-GCM
Tauri
</p>
</div>
</div>
</div>
)}
{/* Message */}
{message && (
<div className={`mb-4 p-3 rounded-lg flex items-center gap-2 ${
message.type === 'success'
? 'bg-green-50 dark:bg-green-900/20 text-green-700 dark:text-green-300'
: 'bg-red-50 dark:bg-red-900/20 text-red-700 dark:text-red-300'
}`}>
{message.type === 'success' ? (
<CheckCircle className="w-4 h-4" />
) : (
<AlertCircle className="w-4 h-4" />
)}
{message.text}
</div>
)}
{/* Stored Keys List */}
<div className="bg-white dark:bg-gray-800 rounded-xl border border-gray-200 dark:border-gray-700 mb-6 shadow-sm">
{isLoading ? (
<div className="h-40 flex items-center justify-center text-sm text-gray-400">
<RefreshCw className="w-4 h-4 animate-spin mr-2" />
...
</div>
) : storedKeys.length > 0 ? (
<div className="divide-y divide-gray-100 dark:divide-gray-700">
{storedKeys.map((item) => (
<div key={item.key} className="p-4">
<div className="flex items-center gap-4">
<div className={`w-10 h-10 rounded-xl flex items-center justify-center ${
item.hasValue
? 'bg-gradient-to-br from-green-500 to-emerald-500 text-white'
: 'bg-gray-200 dark:bg-gray-700 text-gray-400'
}`}>
<Key className="w-4 h-4" />
</div>
<div className="flex-1 min-w-0">
<div className="text-sm font-medium text-gray-900 dark:text-white">
{getKeyLabel(item.key)}
</div>
<div className="text-xs text-gray-500 dark:text-gray-400 mt-0.5">
{getKeyDescription(item.key) || item.key}
</div>
{item.hasValue && (
<div className="text-xs text-gray-400 dark:text-gray-500 mt-1 font-mono">
{showValue[item.key] ? (
<span className="break-all">{revealedValues[item.key]}</span>
) : (
<span>{item.preview}</span>
)}
</div>
)}
</div>
<div className="flex items-center gap-2">
{item.hasValue && (
<>
<button
onClick={() => handleReveal(item.key)}
className="p-2 text-gray-400 hover:text-blue-600 dark:hover:text-blue-400 hover:bg-gray-100 dark:hover:bg-gray-700 rounded-lg transition-colors"
title={showValue[item.key] ? '隐藏' : '显示'}
>
{showValue[item.key] ? (
<EyeOff className="w-4 h-4" />
) : (
<Eye className="w-4 h-4" />
)}
</button>
<button
onClick={() => handleDeleteKey(item.key)}
disabled={isDeleting === item.key}
className="p-2 text-gray-400 hover:text-red-600 dark:hover:text-red-400 hover:bg-gray-100 dark:hover:bg-gray-700 rounded-lg transition-colors disabled:opacity-50"
title="删除"
>
{isDeleting === item.key ? (
<RefreshCw className="w-4 h-4 animate-spin" />
) : (
<Trash2 className="w-4 h-4" />
)}
</button>
</>
)}
{!item.hasValue && (
<span className="text-xs text-gray-400 dark:text-gray-500 px-2"></span>
)}
</div>
</div>
</div>
))}
</div>
) : (
<div className="h-40 flex items-center justify-center text-sm text-gray-400">
</div>
)}
</div>
{/* Add New Key */}
<div className="mb-6">
{!showAddForm ? (
<button
onClick={() => setShowAddForm(true)}
className="w-full p-4 border-2 border-dashed border-gray-300 dark:border-gray-600 rounded-xl text-gray-500 dark:text-gray-400 hover:border-orange-400 hover:text-orange-500 transition-colors flex items-center justify-center gap-2"
>
<Plus className="w-4 h-4" />
<span className="text-sm"></span>
</button>
) : (
<div className="bg-white dark:bg-gray-800 rounded-xl border border-gray-200 dark:border-gray-700 p-4 shadow-sm">
<h3 className="text-sm font-medium text-gray-900 dark:text-white mb-4"></h3>
<div className="space-y-3">
<div>
<label className="block text-xs font-medium text-gray-700 dark:text-gray-300 mb-1">
</label>
<input
type="text"
value={newKey}
onChange={(e) => setNewKey(e.target.value)}
placeholder="例如: zclaw_custom_key"
className="w-full px-3 py-2 border border-gray-300 dark:border-gray-600 rounded-lg bg-white dark:bg-gray-900 text-gray-900 dark:text-white text-sm focus:ring-2 focus:ring-blue-500 focus:border-transparent"
/>
</div>
<div>
<label className="block text-xs font-medium text-gray-700 dark:text-gray-300 mb-1">
</label>
<input
type="password"
value={newValue}
onChange={(e) => setNewValue(e.target.value)}
placeholder="输入密钥值"
className="w-full px-3 py-2 border border-gray-300 dark:border-gray-600 rounded-lg bg-white dark:bg-gray-900 text-gray-900 dark:text-white text-sm focus:ring-2 focus:ring-blue-500 focus:border-transparent"
/>
</div>
<div className="flex gap-2 pt-2">
<button
onClick={() => {
setShowAddForm(false);
setNewKey('');
setNewValue('');
setMessage(null);
}}
className="flex-1 px-4 py-2 border border-gray-300 dark:border-gray-600 rounded-lg text-gray-700 dark:text-gray-300 hover:bg-gray-50 dark:hover:bg-gray-700 text-sm"
>
</button>
<button
onClick={handleAddKey}
disabled={isSaving || !newKey.trim() || !newValue.trim()}
className="flex-1 px-4 py-2 bg-blue-600 text-white rounded-lg hover:bg-blue-700 disabled:opacity-50 flex items-center justify-center gap-2 text-sm"
>
{isSaving ? (
<>
<RefreshCw className="w-3 h-3 animate-spin" />
...
</>
) : (
<>
<CheckCircle className="w-3 h-3" />
</>
)}
</button>
</div>
</div>
</div>
)}
</div>
{/* Info Section */}
<div className="p-4 bg-gray-50 dark:bg-gray-800/50 rounded-lg border border-gray-200 dark:border-gray-700">
<h3 className="text-sm font-medium text-gray-900 dark:text-white mb-2"></h3>
<ul className="text-xs text-gray-500 dark:text-gray-400 space-y-1">
<li> Windows: 使用 DPAPI </li>
<li> macOS: 使用 Keychain </li>
<li> Linux: 使用 Secret Service API (gnome-keyring, kwallet )</li>
<li> 后备方案: AES-GCM localStorage</li>
</ul>
</div>
</div>
);
}

View File

@@ -16,6 +16,8 @@ import {
ClipboardList,
Clock,
Heart,
Key,
Database,
} from 'lucide-react';
import { silentErrorHandler } from '../../lib/error-utils';
import { General } from './General';
@@ -33,6 +35,8 @@ import { SecurityStatus } from '../SecurityStatus';
import { SecurityLayersPanel } from '../SecurityLayersPanel';
import { TaskList } from '../TaskList';
import { HeartbeatConfig } from '../HeartbeatConfig';
import { SecureStorage } from './SecureStorage';
import { VikingPanel } from '../VikingPanel';
interface SettingsLayoutProps {
onBack: () => void;
@@ -49,6 +53,8 @@ type SettingsPage =
| 'workspace'
| 'privacy'
| 'security'
| 'storage'
| 'viking'
| 'audit'
| 'tasks'
| 'heartbeat'
@@ -65,6 +71,8 @@ const menuItems: { id: SettingsPage; label: string; icon: React.ReactNode }[] =
{ id: 'im', label: 'IM 频道', icon: <MessageSquare className="w-4 h-4" /> },
{ id: 'workspace', label: '工作区', icon: <FolderOpen className="w-4 h-4" /> },
{ id: 'privacy', label: '数据与隐私', icon: <Shield className="w-4 h-4" /> },
{ id: 'storage', label: '安全存储', icon: <Key className="w-4 h-4" /> },
{ id: 'viking', label: '语义记忆', icon: <Database className="w-4 h-4" /> },
{ id: 'security', label: '安全状态', icon: <Shield className="w-4 h-4" /> },
{ id: 'audit', label: '审计日志', icon: <ClipboardList className="w-4 h-4" /> },
{ id: 'tasks', label: '定时任务', icon: <Clock className="w-4 h-4" /> },
@@ -88,6 +96,7 @@ export function SettingsLayout({ onBack }: SettingsLayoutProps) {
case 'im': return <IMChannels />;
case 'workspace': return <Workspace />;
case 'privacy': return <Privacy />;
case 'storage': return <SecureStorage />;
case 'security': return (
<div className="space-y-6">
<div>
@@ -121,6 +130,7 @@ export function SettingsLayout({ onBack }: SettingsLayoutProps) {
<HeartbeatConfig />
</div>
);
case 'viking': return <VikingPanel />;
case 'feedback': return <Feedback />;
case 'about': return <About />;
default: return <General />;

View File

@@ -0,0 +1,288 @@
/**
* VikingPanel - OpenViking Semantic Memory UI
*
* Provides interface for semantic search and knowledge base management.
* OpenViking is an optional sidecar for semantic memory operations.
*/
import { useState, useEffect } from 'react';
import {
Search,
RefreshCw,
AlertCircle,
CheckCircle,
FileText,
Server,
Play,
Square,
} from 'lucide-react';
import {
getVikingStatus,
findVikingResources,
getVikingServerStatus,
startVikingServer,
stopVikingServer,
} from '../lib/viking-client';
import type { VikingStatus, VikingFindResult } from '../lib/viking-client';
export function VikingPanel() {
const [status, setStatus] = useState<VikingStatus | null>(null);
const [isLoading, setIsLoading] = useState(true);
const [searchQuery, setSearchQuery] = useState('');
const [searchResults, setSearchResults] = useState<VikingFindResult[]>([]);
const [isSearching, setIsSearching] = useState(false);
const [serverRunning, setServerRunning] = useState(false);
const [message, setMessage] = useState<{ type: 'success' | 'error'; text: string } | null>(null);
const loadStatus = async () => {
setIsLoading(true);
try {
const vikingStatus = await getVikingStatus();
setStatus(vikingStatus);
const serverStatus = await getVikingServerStatus();
setServerRunning(serverStatus.running);
} catch (error) {
console.error('Failed to load Viking status:', error);
setStatus({ available: false, error: String(error) });
} finally {
setIsLoading(false);
}
};
useEffect(() => {
loadStatus();
}, []);
const handleSearch = async () => {
if (!searchQuery.trim()) return;
setIsSearching(true);
setMessage(null);
try {
const results = await findVikingResources(searchQuery, undefined, 10);
setSearchResults(results);
if (results.length === 0) {
setMessage({ type: 'error', text: '未找到匹配的资源' });
}
} catch (error) {
setMessage({
type: 'error',
text: `搜索失败: ${error instanceof Error ? error.message : '未知错误'}`,
});
} finally {
setIsSearching(false);
}
};
const handleServerToggle = async () => {
try {
if (serverRunning) {
await stopVikingServer();
setServerRunning(false);
setMessage({ type: 'success', text: '服务器已停止' });
} else {
await startVikingServer();
setServerRunning(true);
setMessage({ type: 'success', text: '服务器已启动' });
}
} catch (error) {
setMessage({
type: 'error',
text: `操作失败: ${error instanceof Error ? error.message : '未知错误'}`,
});
}
};
return (
<div className="max-w-4xl">
{/* Header */}
<div className="flex justify-between items-center mb-6">
<div>
<h1 className="text-xl font-bold text-gray-900 dark:text-white"></h1>
<p className="text-xs text-gray-500 dark:text-gray-400 mt-1">
OpenViking
</p>
</div>
<div className="flex gap-2 items-center">
{status?.available && (
<span className="text-xs flex items-center gap-1 text-green-600">
<CheckCircle className="w-3 h-3" />
</span>
)}
<button
onClick={loadStatus}
disabled={isLoading}
className="text-xs text-white bg-orange-500 hover:bg-orange-600 px-3 py-1.5 rounded-lg flex items-center gap-1 transition-colors disabled:opacity-50"
>
<RefreshCw className={`w-3 h-3 ${isLoading ? 'animate-spin' : ''}`} />
</button>
</div>
</div>
{/* Status Banner */}
{!status?.available && (
<div className="mb-6 p-4 bg-amber-50 dark:bg-amber-900/20 border border-amber-200 dark:border-amber-800 rounded-lg">
<div className="flex items-start gap-2">
<AlertCircle className="w-4 h-4 text-amber-500 mt-0.5" />
<div className="text-xs text-amber-700 dark:text-amber-300">
<p className="font-medium">OpenViking CLI </p>
<p className="mt-1">
OpenViking CLI {' '}
<code className="bg-amber-100 dark:bg-amber-800 px-1 rounded">ZCLAW_VIKING_BIN</code>
</p>
{status?.error && (
<p className="mt-1 text-amber-600 dark:text-amber-400 font-mono text-xs">
{status.error}
</p>
)}
</div>
</div>
</div>
)}
{/* Message */}
{message && (
<div
className={`mb-4 p-3 rounded-lg flex items-center gap-2 ${
message.type === 'success'
? 'bg-green-50 dark:bg-green-900/20 text-green-700 dark:text-green-300'
: 'bg-red-50 dark:bg-red-900/20 text-red-700 dark:text-red-300'
}`}
>
{message.type === 'success' ? (
<CheckCircle className="w-4 h-4" />
) : (
<AlertCircle className="w-4 h-4" />
)}
{message.text}
</div>
)}
{/* Server Control */}
{status?.available && (
<div className="bg-white dark:bg-gray-800 rounded-xl border border-gray-200 dark:border-gray-700 p-4 mb-6 shadow-sm">
<div className="flex items-center justify-between">
<div className="flex items-center gap-3">
<div
className={`w-10 h-10 rounded-xl flex items-center justify-center ${
serverRunning
? 'bg-gradient-to-br from-green-500 to-emerald-500 text-white'
: 'bg-gray-200 dark:bg-gray-700 text-gray-400'
}`}
>
<Server className="w-4 h-4" />
</div>
<div>
<div className="text-sm font-medium text-gray-900 dark:text-white">
Viking Server
</div>
<div className="text-xs text-gray-500 dark:text-gray-400">
{serverRunning ? '运行中' : '已停止'}
</div>
</div>
</div>
<button
onClick={handleServerToggle}
className={`px-4 py-2 rounded-lg flex items-center gap-2 text-sm transition-colors ${
serverRunning
? 'bg-red-100 text-red-600 hover:bg-red-200 dark:bg-red-900/30 dark:text-red-400'
: 'bg-green-100 text-green-600 hover:bg-green-200 dark:bg-green-900/30 dark:text-green-400'
}`}
>
{serverRunning ? (
<>
<Square className="w-4 h-4" />
</>
) : (
<>
<Play className="w-4 h-4" />
</>
)}
</button>
</div>
</div>
)}
{/* Search Box */}
{status?.available && (
<div className="bg-white dark:bg-gray-800 rounded-xl border border-gray-200 dark:border-gray-700 p-4 mb-6 shadow-sm">
<h3 className="text-sm font-medium text-gray-900 dark:text-white mb-3"></h3>
<div className="flex gap-2">
<input
type="text"
value={searchQuery}
onChange={(e) => setSearchQuery(e.target.value)}
onKeyDown={(e) => e.key === 'Enter' && handleSearch()}
placeholder="输入自然语言查询..."
className="flex-1 px-3 py-2 border border-gray-300 dark:border-gray-600 rounded-lg bg-white dark:bg-gray-900 text-gray-900 dark:text-white text-sm focus:ring-2 focus:ring-blue-500 focus:border-transparent"
/>
<button
onClick={handleSearch}
disabled={isSearching || !searchQuery.trim()}
className="px-4 py-2 bg-blue-600 text-white rounded-lg hover:bg-blue-700 disabled:opacity-50 flex items-center gap-2 text-sm"
>
{isSearching ? (
<RefreshCw className="w-4 h-4 animate-spin" />
) : (
<Search className="w-4 h-4" />
)}
</button>
</div>
</div>
)}
{/* Search Results */}
{searchResults.length > 0 && (
<div className="bg-white dark:bg-gray-800 rounded-xl border border-gray-200 dark:border-gray-700 shadow-sm divide-y divide-gray-100 dark:divide-gray-700">
<div className="p-3 border-b border-gray-200 dark:border-gray-700">
<span className="text-xs text-gray-500">
{searchResults.length}
</span>
</div>
{searchResults.map((result, index) => (
<div key={`${result.uri}-${index}`} className="p-4">
<div className="flex items-start gap-3">
<div className="w-8 h-8 rounded-lg bg-blue-100 dark:bg-blue-900/30 flex items-center justify-center flex-shrink-0">
<FileText className="w-4 h-4 text-blue-600 dark:text-blue-400" />
</div>
<div className="flex-1 min-w-0">
<div className="flex items-center gap-2">
<span className="text-sm font-medium text-gray-900 dark:text-white truncate">
{result.uri}
</span>
<span className="text-xs text-gray-400 bg-gray-100 dark:bg-gray-700 px-2 py-0.5 rounded">
{result.level}
</span>
<span className="text-xs text-blue-600 dark:text-blue-400">
{Math.round(result.score * 100)}%
</span>
</div>
{result.overview && (
<p className="text-xs text-gray-500 dark:text-gray-400 mt-1 line-clamp-2">
{result.overview}
</p>
)}
<p className="text-xs text-gray-600 dark:text-gray-300 mt-2 line-clamp-3 font-mono">
{result.content}
</p>
</div>
</div>
</div>
))}
</div>
)}
{/* Info Section */}
<div className="mt-6 p-4 bg-gray-50 dark:bg-gray-800/50 rounded-lg border border-gray-200 dark:border-gray-700">
<h3 className="text-sm font-medium text-gray-900 dark:text-white mb-2"> OpenViking</h3>
<ul className="text-xs text-gray-500 dark:text-gray-400 space-y-1">
<li> </li>
<li> </li>
<li> </li>
<li> AI </li>
</ul>
</div>
</div>
);
}

View File

@@ -4,7 +4,7 @@
* Draggable palette of available node types.
*/
import React, { DragEvent } from 'react';
import { DragEvent } from 'react';
import type { NodePaletteItem, NodeCategory } from '../../lib/workflow-builder/types';
interface NodePaletteProps {

View File

@@ -4,7 +4,7 @@
* Panel for editing node properties.
*/
import React, { useState, useEffect } from 'react';
import { useState, useEffect } from 'react';
import type { WorkflowNodeData } from '../../lib/workflow-builder/types';
interface PropertyPanelProps {
@@ -16,7 +16,6 @@ interface PropertyPanelProps {
}
export function PropertyPanel({
nodeId,
nodeData,
onUpdate,
onDelete,

View File

@@ -5,7 +5,7 @@
* Pipeline DSL configurations.
*/
import React, { useCallback, useRef, useEffect } from 'react';
import { useCallback, useRef, useEffect } from 'react';
import {
ReactFlow,
Controls,
@@ -17,17 +17,17 @@ import {
useNodesState,
useEdgesState,
Node,
NodeChange,
EdgeChange,
Edge,
NodeTypes,
Panel,
ReactFlowProvider,
useReactFlow,
} from '@xyflow/react';
import '@xyflow/react/dist/style.css';
import { useWorkflowBuilderStore, nodePaletteItems, paletteCategories } from '../../store/workflowBuilderStore';
import type { WorkflowNodeType, WorkflowNodeData } from '../../lib/workflow-builder/types';
import { validateCanvas } from '../../lib/workflow-builder/yaml-converter';
import { useWorkflowBuilderStore, paletteCategories } from '../../store/workflowBuilderStore';
import type { WorkflowNodeData, WorkflowNodeType } from '../../lib/workflow-builder/types';
// Import custom node components
import { InputNode } from './nodes/InputNode';
@@ -66,7 +66,7 @@ const nodeTypes: NodeTypes = {
export function WorkflowBuilderInternal() {
const reactFlowWrapper = useRef<HTMLDivElement>(null);
const { screenToFlowPosition, fitView } = useReactFlow();
const { screenToFlowPosition } = useReactFlow();
const {
canvas,
@@ -84,8 +84,8 @@ export function WorkflowBuilderInternal() {
} = useWorkflowBuilderStore();
// Local state for React Flow
const [nodes, setNodes, onNodesChange] = useNodesState([]);
const [edges, setEdges, onEdgesChange] = useEdgesState([]);
const [nodes, setNodes, onNodesChange] = useNodesState<Node<WorkflowNodeData>>([]);
const [edges, setEdges, onEdgesChange] = useEdgesState<Edge>([]);
// Sync canvas state with React Flow
useEffect(() => {
@@ -94,7 +94,7 @@ export function WorkflowBuilderInternal() {
id: n.id,
type: n.type,
position: n.position,
data: n.data,
data: n.data as WorkflowNodeData,
})));
setEdges(canvas.edges.map(e => ({
id: e.id,
@@ -111,7 +111,7 @@ export function WorkflowBuilderInternal() {
// Handle node changes (position, selection)
const handleNodesChange = useCallback(
(changes) => {
(changes: NodeChange<Node<WorkflowNodeData>>[]) => {
onNodesChange(changes);
// Sync position changes back to store
@@ -132,7 +132,7 @@ export function WorkflowBuilderInternal() {
// Handle edge changes
const handleEdgesChange = useCallback(
(changes) => {
(changes: EdgeChange[]) => {
onEdgesChange(changes);
},
[onEdgesChange]
@@ -235,7 +235,7 @@ export function WorkflowBuilderInternal() {
{/* Node Palette */}
<NodePalette
categories={paletteCategories}
onDragStart={(type) => {
onDragStart={() => {
setDragging(true);
}}
onDragEnd={() => {

View File

@@ -4,7 +4,7 @@
* Toolbar with actions for the workflow builder.
*/
import React, { useState } from 'react';
import { useState } from 'react';
import type { ValidationResult } from '../../lib/workflow-builder/types';
import { canvasToYaml } from '../../lib/workflow-builder/yaml-converter';
import { useWorkflowBuilderStore } from '../../store/workflowBuilderStore';

View File

@@ -4,11 +4,13 @@
* Node for conditional branching.
*/
import React, { memo } from 'react';
import { Handle, Position, NodeProps } from '@xyflow/react';
import { memo } from 'react';
import { Handle, Position, NodeProps, Node } from '@xyflow/react';
import type { ConditionNodeData } from '../../../lib/workflow-builder/types';
export const ConditionNode = memo(({ data, selected }: NodeProps<ConditionNodeData>) => {
type ConditionNodeType = Node<ConditionNodeData>;
export const ConditionNode = memo(({ data, selected }: NodeProps<ConditionNodeType>) => {
const branchCount = data.branches.length + (data.hasDefault ? 1 : 0);
return (
@@ -39,7 +41,7 @@ export const ConditionNode = memo(({ data, selected }: NodeProps<ConditionNodeDa
{/* Branches */}
<div className="space-y-1">
{data.branches.map((branch, index) => (
{data.branches.map((branch: { label?: string; when: string }, index: number) => (
<div key={index} className="flex items-center justify-between">
<div className="relative">
{/* Branch Output Handle */}

View File

@@ -4,11 +4,11 @@
* Node for exporting workflow results to various formats.
*/
import React, { memo } from 'react';
import { Handle, Position, NodeProps } from '@xyflow/react';
import { memo } from 'react';
import { Handle, Position, NodeProps, Node } from '@xyflow/react';
import type { ExportNodeData } from '../../../lib/workflow-builder/types';
export const ExportNode = memo(({ data, selected }: NodeProps<ExportNodeData>) => {
export const ExportNode = memo(({ data, selected }: NodeProps<Node<ExportNodeData>>) => {
const formatLabels: Record<string, string> = {
pptx: 'PowerPoint',
html: 'HTML',

View File

@@ -4,11 +4,13 @@
* Node for executing hand actions.
*/
import React, { memo } from 'react';
import { Handle, Position, NodeProps } from '@xyflow/react';
import { memo } from 'react';
import { Handle, Position, NodeProps, Node } from '@xyflow/react';
import type { HandNodeData } from '../../../lib/workflow-builder/types';
export const HandNode = memo(({ data, selected }: NodeProps<HandNodeData>) => {
type HandNodeType = Node<HandNodeData>;
export const HandNode = memo(({ data, selected }: NodeProps<HandNodeType>) => {
const hasHand = Boolean(data.handId);
const hasAction = Boolean(data.action);

View File

@@ -4,8 +4,8 @@
* Node for making HTTP requests.
*/
import React, { memo } from 'react';
import { Handle, Position, NodeProps } from '@xyflow/react';
import { memo } from 'react';
import { Handle, Position, NodeProps, Node } from '@xyflow/react';
import type { HttpNodeData } from '../../../lib/workflow-builder/types';
const methodColors: Record<string, string> = {
@@ -16,7 +16,7 @@ const methodColors: Record<string, string> = {
PATCH: 'bg-purple-100 text-purple-700',
};
export const HttpNode = memo(({ data, selected }: NodeProps<HttpNodeData>) => {
export const HttpNode = memo(({ data, selected }: NodeProps<Node<HttpNodeData>>) => {
const hasUrl = Boolean(data.url);
return (

View File

@@ -4,11 +4,11 @@
* Node for defining workflow input variables.
*/
import React, { memo } from 'react';
import { Handle, Position, NodeProps } from '@xyflow/react';
import { memo } from 'react';
import { Handle, Position, NodeProps, Node } from '@xyflow/react';
import type { InputNodeData } from '../../../lib/workflow-builder/types';
export const InputNode = memo(({ data, selected }: NodeProps<InputNodeData>) => {
export const InputNode = memo(({ data, selected }: NodeProps<Node<InputNodeData>>) => {
return (
<div
className={`

View File

@@ -4,11 +4,11 @@
* Node for LLM generation actions.
*/
import React, { memo } from 'react';
import { Handle, Position, NodeProps } from '@xyflow/react';
import { memo } from 'react';
import { Handle, Position, NodeProps, Node } from '@xyflow/react';
import type { LlmNodeData } from '../../../lib/workflow-builder/types';
export const LlmNode = memo(({ data, selected }: NodeProps<LlmNodeData>) => {
export const LlmNode = memo(({ data, selected }: NodeProps<Node<LlmNodeData>>) => {
const templatePreview = data.template.length > 50
? data.template.slice(0, 50) + '...'
: data.template || 'No template';

View File

@@ -4,11 +4,11 @@
* Node for executing skill orchestration graphs (DAGs).
*/
import React, { memo } from 'react';
import { Handle, Position, NodeProps } from '@xyflow/react';
import { memo } from 'react';
import { Handle, Position, NodeProps, Node } from '@xyflow/react';
import type { OrchestrationNodeData } from '../../../lib/workflow-builder/types';
export const OrchestrationNode = memo(({ data, selected }: NodeProps<OrchestrationNodeData>) => {
export const OrchestrationNode = memo(({ data, selected }: NodeProps<Node<OrchestrationNodeData>>) => {
const hasGraphId = Boolean(data.graphId);
const hasGraph = Boolean(data.graph);
const inputCount = Object.keys(data.inputMappings).length;

View File

@@ -4,11 +4,11 @@
* Node for parallel execution of steps.
*/
import React, { memo } from 'react';
import { Handle, Position, NodeProps } from '@xyflow/react';
import { memo } from 'react';
import { Handle, Position, NodeProps, Node } from '@xyflow/react';
import type { ParallelNodeData } from '../../../lib/workflow-builder/types';
export const ParallelNode = memo(({ data, selected }: NodeProps<ParallelNodeData>) => {
export const ParallelNode = memo(({ data, selected }: NodeProps<Node<ParallelNodeData>>) => {
return (
<div
className={`

View File

@@ -4,11 +4,11 @@
* Node for executing skills.
*/
import React, { memo } from 'react';
import { Handle, Position, NodeProps } from '@xyflow/react';
import { memo } from 'react';
import { Handle, Position, NodeProps, Node } from '@xyflow/react';
import type { SkillNodeData } from '../../../lib/workflow-builder/types';
export const SkillNode = memo(({ data, selected }: NodeProps<SkillNodeData>) => {
export const SkillNode = memo(({ data, selected }: NodeProps<Node<SkillNodeData>>) => {
const hasSkill = Boolean(data.skillId);
return (

View File

@@ -0,0 +1,340 @@
/**
* Workflow Recommendations Component
*
* Displays proactive workflow recommendations from the Adaptive Intelligence Mesh.
* Shows detected patterns and suggested workflows based on user behavior.
*/
import React, { useState, useEffect } from 'react';
import { motion, AnimatePresence } from 'framer-motion';
import { useMeshStore } from '../store/meshStore';
import type { WorkflowRecommendation, BehaviorPattern, PatternTypeVariant } from '../lib/intelligence-client';
// === Main Component ===
export const WorkflowRecommendations: React.FC = () => {
const {
recommendations,
patterns,
isLoading,
error,
analyze,
acceptRecommendation,
dismissRecommendation,
} = useMeshStore();
const [selectedPattern, setSelectedPattern] = useState<string | null>(null);
useEffect(() => {
// Initial analysis
analyze();
}, [analyze]);
if (isLoading) {
return (
<div className="flex items-center justify-center p-8">
<div className="animate-spin rounded-full h-8 w-8 border-b-2 border-blue-500" />
<span className="ml-3 text-gray-400">Analyzing patterns...</span>
</div>
);
}
if (error) {
return (
<div className="p-4 bg-red-500/10 border border-red-500/20 rounded-lg">
<p className="text-red-400 text-sm">{error}</p>
</div>
);
}
return (
<div className="space-y-6">
{/* Recommendations Section */}
<section>
<h3 className="text-lg font-semibold text-white mb-4 flex items-center gap-2">
<span className="text-2xl">💡</span>
Recommended Workflows
{recommendations.length > 0 && (
<span className="ml-2 px-2 py-0.5 bg-blue-500/20 text-blue-400 text-xs rounded-full">
{recommendations.length}
</span>
)}
</h3>
<AnimatePresence mode="popLayout">
{recommendations.length === 0 ? (
<motion.div
initial={{ opacity: 0 }}
animate={{ opacity: 1 }}
className="p-6 bg-gray-800/30 rounded-lg border border-gray-700/50 text-center"
>
<p className="text-gray-400">No recommendations available yet.</p>
<p className="text-gray-500 text-sm mt-2">
Continue using the app to build up behavior patterns.
</p>
</motion.div>
) : (
<div className="space-y-3">
{recommendations.map((rec) => (
<RecommendationCard
key={rec.id}
recommendation={rec}
onAccept={() => acceptRecommendation(rec.id)}
onDismiss={() => dismissRecommendation(rec.id)}
/>
))}
</div>
)}
</AnimatePresence>
</section>
{/* Detected Patterns Section */}
<section>
<h3 className="text-lg font-semibold text-white mb-4 flex items-center gap-2">
<span className="text-2xl">📊</span>
Detected Patterns
{patterns.length > 0 && (
<span className="ml-2 px-2 py-0.5 bg-purple-500/20 text-purple-400 text-xs rounded-full">
{patterns.length}
</span>
)}
</h3>
{patterns.length === 0 ? (
<div className="p-6 bg-gray-800/30 rounded-lg border border-gray-700/50 text-center">
<p className="text-gray-400">No patterns detected yet.</p>
</div>
) : (
<div className="grid gap-3">
{patterns.map((pattern) => (
<PatternCard
key={pattern.id}
pattern={pattern}
isSelected={selectedPattern === pattern.id}
onClick={() =>
setSelectedPattern(
selectedPattern === pattern.id ? null : pattern.id
)
}
/>
))}
</div>
)}
</section>
</div>
);
};
// === Sub-Components ===
interface RecommendationCardProps {
recommendation: WorkflowRecommendation;
onAccept: () => void;
onDismiss: () => void;
}
const RecommendationCard: React.FC<RecommendationCardProps> = ({
recommendation,
onAccept,
onDismiss,
}) => {
const confidencePercent = Math.round(recommendation.confidence * 100);
const getConfidenceColor = (confidence: number) => {
if (confidence >= 0.8) return 'text-green-400';
if (confidence >= 0.6) return 'text-yellow-400';
return 'text-orange-400';
};
return (
<motion.div
layout
initial={{ opacity: 0, y: -10 }}
animate={{ opacity: 1, y: 0 }}
exit={{ opacity: 0, scale: 0.95 }}
className="p-4 bg-gray-800/50 rounded-lg border border-gray-700/50 hover:border-blue-500/30 transition-colors"
>
<div className="flex items-start justify-between gap-4">
<div className="flex-1 min-w-0">
<div className="flex items-center gap-2 mb-2">
<h4 className="text-white font-medium truncate">
{recommendation.pipeline_id}
</h4>
<span
className={`text-xs font-mono ${getConfidenceColor(
recommendation.confidence
)}`}
>
{confidencePercent}%
</span>
</div>
<p className="text-gray-400 text-sm mb-3">{recommendation.reason}</p>
{/* Suggested Inputs */}
{Object.keys(recommendation.suggested_inputs).length > 0 && (
<div className="mb-3">
<p className="text-xs text-gray-500 mb-1">Suggested inputs:</p>
<div className="flex flex-wrap gap-1">
{Object.entries(recommendation.suggested_inputs).map(
([key, value]) => (
<span
key={key}
className="px-2 py-0.5 bg-gray-700/50 text-gray-300 text-xs rounded"
>
{key}: {String(value).slice(0, 20)}
</span>
)
)}
</div>
</div>
)}
{/* Matched Patterns */}
{recommendation.patterns_matched.length > 0 && (
<div className="text-xs text-gray-500">
Based on {recommendation.patterns_matched.length} pattern(s)
</div>
)}
</div>
{/* Actions */}
<div className="flex gap-2 shrink-0">
<button
onClick={onAccept}
className="px-3 py-1.5 bg-blue-500 hover:bg-blue-600 text-white text-sm rounded transition-colors"
>
Accept
</button>
<button
onClick={onDismiss}
className="px-3 py-1.5 bg-gray-700 hover:bg-gray-600 text-gray-300 text-sm rounded transition-colors"
>
Dismiss
</button>
</div>
</div>
{/* Confidence Bar */}
<div className="mt-3 h-1 bg-gray-700 rounded-full overflow-hidden">
<motion.div
initial={{ width: 0 }}
animate={{ width: `${confidencePercent}%` }}
className={`h-full ${
recommendation.confidence >= 0.8
? 'bg-green-500'
: recommendation.confidence >= 0.6
? 'bg-yellow-500'
: 'bg-orange-500'
}`}
/>
</div>
</motion.div>
);
};
interface PatternCardProps {
pattern: BehaviorPattern;
isSelected: boolean;
onClick: () => void;
}
const PatternCard: React.FC<PatternCardProps> = ({
pattern,
isSelected,
onClick,
}) => {
const getPatternTypeLabel = (type: PatternTypeVariant | string) => {
// Handle object format
const typeStr = typeof type === 'string' ? type : type.type;
switch (typeStr) {
case 'SkillCombination':
return { label: 'Skill Combo', icon: '⚡' };
case 'TemporalTrigger':
return { label: 'Time Trigger', icon: '⏰' };
case 'TaskPipelineMapping':
return { label: 'Task Mapping', icon: '🔄' };
case 'InputPattern':
return { label: 'Input Pattern', icon: '📝' };
default:
return { label: typeStr, icon: '📊' };
}
};
const { label, icon } = getPatternTypeLabel(pattern.pattern_type as PatternTypeVariant);
const confidencePercent = Math.round(pattern.confidence * 100);
return (
<motion.div
layout
onClick={onClick}
className={`p-3 rounded-lg border cursor-pointer transition-colors ${
isSelected
? 'bg-purple-500/10 border-purple-500/50'
: 'bg-gray-800/30 border-gray-700/50 hover:border-gray-600'
}`}
>
<div className="flex items-center justify-between">
<div className="flex items-center gap-2">
<span className="text-lg">{icon}</span>
<span className="text-white font-medium">{label}</span>
</div>
<div className="flex items-center gap-2">
<span className="text-xs text-gray-400">
{pattern.frequency}x used
</span>
<span
className={`text-xs font-mono ${
pattern.confidence >= 0.6
? 'text-green-400'
: 'text-yellow-400'
}`}
>
{confidencePercent}%
</span>
</div>
</div>
<AnimatePresence>
{isSelected && (
<motion.div
initial={{ height: 0, opacity: 0 }}
animate={{ height: 'auto', opacity: 1 }}
exit={{ height: 0, opacity: 0 }}
className="mt-3 pt-3 border-t border-gray-700/50 overflow-hidden"
>
<div className="space-y-2 text-sm">
<div>
<span className="text-gray-500">ID:</span>{' '}
<span className="text-gray-300 font-mono text-xs">
{pattern.id}
</span>
</div>
<div>
<span className="text-gray-500">First seen:</span>{' '}
<span className="text-gray-300">
{new Date(pattern.first_occurrence).toLocaleDateString()}
</span>
</div>
<div>
<span className="text-gray-500">Last seen:</span>{' '}
<span className="text-gray-300">
{new Date(pattern.last_occurrence).toLocaleDateString()}
</span>
</div>
{pattern.context.intent && (
<div>
<span className="text-gray-500">Intent:</span>{' '}
<span className="text-gray-300">{pattern.context.intent}</span>
</div>
)}
</div>
</motion.div>
)}
</AnimatePresence>
</motion.div>
);
};
export default WorkflowRecommendations;

View File

@@ -128,8 +128,142 @@ export type {
IdentityFiles,
IdentityChangeProposal,
IdentitySnapshot,
MemoryEntryForAnalysis,
} from './intelligence-backend';
// === Mesh Types ===
export interface BehaviorPattern {
id: string;
pattern_type: PatternTypeVariant;
frequency: number;
last_occurrence: string;
first_occurrence: string;
confidence: number;
context: PatternContext;
}
export function getPatternTypeString(patternType: PatternTypeVariant): string {
if (typeof patternType === 'string') {
return patternType;
}
return patternType.type;
}
export type PatternTypeVariant =
| { type: 'SkillCombination'; skill_ids: string[] }
| { type: 'TemporalTrigger'; hand_id: string; time_pattern: string }
| { type: 'TaskPipelineMapping'; task_type: string; pipeline_id: string }
| { type: 'InputPattern'; keywords: string[]; intent: string };
export interface PatternContext {
skill_ids?: string[];
recent_topics?: string[];
intent?: string;
time_of_day?: number;
day_of_week?: number;
}
export interface WorkflowRecommendation {
id: string;
pipeline_id: string;
confidence: number;
reason: string;
suggested_inputs: Record<string, unknown>;
patterns_matched: string[];
timestamp: string;
}
export interface MeshConfig {
enabled: boolean;
min_confidence: number;
max_recommendations: number;
analysis_window_hours: number;
}
export interface MeshAnalysisResult {
recommendations: WorkflowRecommendation[];
patterns_detected: number;
timestamp: string;
}
export type ActivityType =
| { type: 'skill_used'; skill_ids: string[] }
| { type: 'pipeline_executed'; task_type: string; pipeline_id: string }
| { type: 'input_received'; keywords: string[]; intent: string };
// === Persona Evolver Types ===
export type EvolutionChangeType =
| 'instruction_addition'
| 'instruction_refinement'
| 'trait_addition'
| 'style_adjustment'
| 'domain_expansion';
export type InsightCategory =
| 'communication_style'
| 'technical_expertise'
| 'task_efficiency'
| 'user_preference'
| 'knowledge_gap';
export type IdentityFileType = 'soul' | 'instructions';
export type ProposalStatus = 'pending' | 'approved' | 'rejected';
export interface EvolutionProposal {
id: string;
agent_id: string;
target_file: IdentityFileType;
change_type: EvolutionChangeType;
reason: string;
current_content: string;
proposed_content: string;
confidence: number;
evidence: string[];
status: ProposalStatus;
created_at: string;
}
export interface ProfileUpdate {
section: string;
previous: string;
updated: string;
source: string;
}
export interface EvolutionInsight {
category: InsightCategory;
observation: string;
recommendation: string;
confidence: number;
}
export interface EvolutionResult {
agent_id: string;
timestamp: string;
profile_updates: ProfileUpdate[];
proposals: EvolutionProposal[];
insights: EvolutionInsight[];
evolved: boolean;
}
export interface PersonaEvolverConfig {
auto_profile_update: boolean;
min_preferences_for_update: number;
min_conversations_for_evolution: number;
enable_instruction_refinement: boolean;
enable_soul_evolution: boolean;
max_proposals_per_cycle: number;
}
export interface PersonaEvolverState {
last_evolution: string | null;
total_evolutions: number;
pending_proposals: number;
profile_enrichment_score: number;
}
// === Type Conversion Utilities ===
/**

View File

@@ -753,36 +753,210 @@ export class KernelClient {
});
}
// === Triggers API (stubs for compatibility) ===
// === Triggers API ===
async listTriggers(): Promise<{ triggers?: { id: string; type: string; enabled: boolean }[] }> {
return { triggers: [] };
/**
* List all triggers
* Returns empty array on error for graceful degradation
*/
async listTriggers(): Promise<{
triggers?: Array<{
id: string;
name: string;
handId: string;
triggerType: string;
enabled: boolean;
createdAt: string;
modifiedAt: string;
description?: string;
tags: string[];
}>
}> {
try {
const triggers = await invoke<Array<{
id: string;
name: string;
handId: string;
triggerType: string;
enabled: boolean;
createdAt: string;
modifiedAt: string;
description?: string;
tags: string[];
}>>('trigger_list');
return { triggers };
} catch (error) {
this.log('error', `[TriggersAPI] listTriggers failed: ${this.formatError(error)}`);
return { triggers: [] };
}
}
async getTrigger(_id: string): Promise<{ id: string; type: string; enabled: boolean } | null> {
return null;
/**
* Get a single trigger by ID
* Returns null on error for graceful degradation
*/
async getTrigger(id: string): Promise<{
id: string;
name: string;
handId: string;
triggerType: string;
enabled: boolean;
createdAt: string;
modifiedAt: string;
description?: string;
tags: string[];
} | null> {
try {
return await invoke<{
id: string;
name: string;
handId: string;
triggerType: string;
enabled: boolean;
createdAt: string;
modifiedAt: string;
description?: string;
tags: string[];
} | null>('trigger_get', { id });
} catch (error) {
this.log('error', `[TriggersAPI] getTrigger(${id}) failed: ${this.formatError(error)}`);
return null;
}
}
async createTrigger(_trigger: { type: string; name?: string; enabled?: boolean; config?: Record<string, unknown>; handName?: string; workflowId?: string }): Promise<{ id?: string } | null> {
return null;
/**
* Create a new trigger
* Returns null on error for graceful degradation
*/
async createTrigger(trigger: {
id: string;
name: string;
handId: string;
triggerType: { type: string; cron?: string; pattern?: string; path?: string; secret?: string; events?: string[] };
enabled?: boolean;
description?: string;
tags?: string[];
}): Promise<{
id: string;
name: string;
handId: string;
triggerType: string;
enabled: boolean;
createdAt: string;
modifiedAt: string;
description?: string;
tags: string[];
} | null> {
try {
return await invoke<{
id: string;
name: string;
handId: string;
triggerType: string;
enabled: boolean;
createdAt: string;
modifiedAt: string;
description?: string;
tags: string[];
}>('trigger_create', { request: trigger });
} catch (error) {
this.log('error', `[TriggersAPI] createTrigger(${trigger.id}) failed: ${this.formatError(error)}`);
return null;
}
}
async updateTrigger(_id: string, _updates: { name?: string; enabled?: boolean; config?: Record<string, unknown>; handName?: string; workflowId?: string }): Promise<{ id: string }> {
throw new Error('Triggers not implemented');
/**
* Update an existing trigger
* Throws on error as this is a mutation operation that callers need to handle
*/
async updateTrigger(id: string, updates: {
name?: string;
enabled?: boolean;
handId?: string;
triggerType?: { type: string; cron?: string; pattern?: string; path?: string; secret?: string; events?: string[] };
}): Promise<{
id: string;
name: string;
handId: string;
triggerType: string;
enabled: boolean;
createdAt: string;
modifiedAt: string;
description?: string;
tags: string[];
}> {
try {
return await invoke<{
id: string;
name: string;
handId: string;
triggerType: string;
enabled: boolean;
createdAt: string;
modifiedAt: string;
description?: string;
tags: string[];
}>('trigger_update', { id, updates });
} catch (error) {
this.log('error', `[TriggersAPI] updateTrigger(${id}) failed: ${this.formatError(error)}`);
throw error;
}
}
async deleteTrigger(_id: string): Promise<{ status: string }> {
throw new Error('Triggers not implemented');
/**
* Delete a trigger
* Throws on error as this is a destructive operation that callers need to handle
*/
async deleteTrigger(id: string): Promise<void> {
try {
await invoke('trigger_delete', { id });
} catch (error) {
this.log('error', `[TriggersAPI] deleteTrigger(${id}) failed: ${this.formatError(error)}`);
throw error;
}
}
// === Approvals API (stubs for compatibility) ===
async listApprovals(_status?: string): Promise<{ approvals?: unknown[] }> {
return { approvals: [] };
/**
* Execute a trigger
* Throws on error as callers need to know if execution failed
*/
async executeTrigger(id: string, input?: Record<string, unknown>): Promise<Record<string, unknown>> {
try {
return await invoke<Record<string, unknown>>('trigger_execute', { id, input: input || {} });
} catch (error) {
this.log('error', `[TriggersAPI] executeTrigger(${id}) failed: ${this.formatError(error)}`);
throw error;
}
}
async respondToApproval(_approvalId: string, _approved: boolean, _reason?: string): Promise<{ status: string }> {
throw new Error('Approvals not implemented');
// === Approvals API ===
async listApprovals(_status?: string): Promise<{
approvals: Array<{
id: string;
handId: string;
status: string;
createdAt: string;
input: Record<string, unknown>;
}>
}> {
try {
const approvals = await invoke<Array<{
id: string;
handId: string;
status: string;
createdAt: string;
input: Record<string, unknown>;
}>>('approval_list');
return { approvals };
} catch (error) {
console.error('[kernel-client] listApprovals error:', error);
return { approvals: [] };
}
}
async respondToApproval(approvalId: string, approved: boolean, reason?: string): Promise<void> {
return invoke('approval_respond', { id: approvalId, approved, reason });
}
/**
@@ -871,6 +1045,16 @@ export class KernelClient {
private log(level: string, message: string): void {
this.onLog?.(level, message);
}
/**
* Format error for consistent logging
*/
private formatError(error: unknown): string {
if (error instanceof Error) {
return error.message;
}
return String(error);
}
}
// === Singleton ===

View File

@@ -139,7 +139,6 @@ export class PipelineRecommender {
}
const recommendations: PipelineRecommendation[] = [];
const messageLower = message.toLowerCase();
for (const pattern of INTENT_PATTERNS) {
const matches = pattern.keywords

View File

@@ -0,0 +1,174 @@
/**
* OpenViking Client - Semantic Memory Operations
*
* Client for interacting with OpenViking CLI sidecar.
* Provides semantic search, resource management, and knowledge base operations.
*/
import { invoke } from '@tauri-apps/api/core';
// === Types ===
export interface VikingStatus {
available: boolean;
version?: string;
dataDir?: string;
error?: string;
}
export interface VikingResource {
uri: string;
name: string;
resourceType: string;
size?: number;
modifiedAt?: string;
}
export interface VikingFindResult {
uri: string;
score: number;
content: string;
level: string;
overview?: string;
}
export interface VikingGrepResult {
uri: string;
line: number;
content: string;
matchStart: number;
matchEnd: number;
}
export interface VikingAddResult {
uri: string;
status: string;
}
// === Client Functions ===
/**
* Check if OpenViking CLI is available
*/
export async function getVikingStatus(): Promise<VikingStatus> {
return invoke<VikingStatus>('viking_status');
}
/**
* Add a resource to OpenViking from file
*/
export async function addVikingResource(
uri: string,
content: string
): Promise<VikingAddResult> {
return invoke<VikingAddResult>('viking_add', { uri, content });
}
/**
* Add a resource with inline content
*/
export async function addVikingResourceInline(
uri: string,
content: string
): Promise<VikingAddResult> {
return invoke<VikingAddResult>('viking_add_inline', { uri, content });
}
/**
* Find resources by semantic search
*/
export async function findVikingResources(
query: string,
scope?: string,
limit?: number
): Promise<VikingFindResult[]> {
return invoke<VikingFindResult[]>('viking_find', { query, scope, limit });
}
/**
* Grep resources by pattern
*/
export async function grepVikingResources(
pattern: string,
uri?: string,
caseSensitive?: boolean,
limit?: number
): Promise<VikingGrepResult[]> {
return invoke<VikingGrepResult[]>('viking_grep', {
pattern,
uri,
caseSensitive,
limit,
});
}
/**
* List resources at a path
*/
export async function listVikingResources(path: string): Promise<VikingResource[]> {
return invoke<VikingResource[]>('viking_ls', { path });
}
/**
* Read resource content
*/
export async function readVikingResource(
uri: string,
level?: string
): Promise<string> {
return invoke<string>('viking_read', { uri, level });
}
/**
* Remove a resource
*/
export async function removeVikingResource(uri: string): Promise<void> {
return invoke<void>('viking_remove', { uri });
}
/**
* Get resource tree
*/
export async function getVikingTree(
path: string,
depth?: number
): Promise<Record<string, unknown>> {
return invoke<Record<string, unknown>>('viking_tree', { path, depth });
}
// === Server Functions ===
export interface VikingServerStatus {
running: boolean;
port?: number;
pid?: number;
error?: string;
}
/**
* Get Viking server status
*/
export async function getVikingServerStatus(): Promise<VikingServerStatus> {
return invoke<VikingServerStatus>('viking_server_status');
}
/**
* Start Viking server
*/
export async function startVikingServer(): Promise<void> {
return invoke<void>('viking_server_start');
}
/**
* Stop Viking server
*/
export async function stopVikingServer(): Promise<void> {
return invoke<void>('viking_server_stop');
}
/**
* Restart Viking server
*/
export async function restartVikingServer(): Promise<void> {
return invoke<void>('viking_server_restart');
}

View File

@@ -43,10 +43,13 @@ export interface WorkspaceInfo {
export interface ChannelInfo {
id: string;
type: string;
name: string;
label: string;
status: 'active' | 'inactive' | 'error';
enabled?: boolean;
accounts?: number;
error?: string;
config?: Record<string, string>;
}
export interface ScheduledTask {
@@ -292,12 +295,13 @@ export const useConfigStore = create<ConfigStateSlice & ConfigActionsSlice>((set
channels.push({
id: 'feishu',
type: 'feishu',
name: 'feishu',
label: '飞书 (Feishu)',
status: feishu?.configured ? 'active' : 'inactive',
accounts: feishu?.accounts || 0,
});
} catch {
channels.push({ id: 'feishu', type: 'feishu', label: '飞书 (Feishu)', status: 'inactive' });
channels.push({ id: 'feishu', type: 'feishu', name: 'feishu', label: '飞书 (Feishu)', status: 'inactive' });
}
set({ channels });

View File

@@ -0,0 +1,161 @@
/**
* Mesh Store - State management for Adaptive Intelligence Mesh
*
* Manages workflow recommendations and behavior patterns.
*/
import { create } from 'zustand';
import { invoke } from '@tauri-apps/api/core';
import type {
WorkflowRecommendation,
BehaviorPattern,
MeshConfig,
MeshAnalysisResult,
PatternContext,
ActivityType,
} from '../lib/intelligence-client';
// === Types ===
export interface MeshState {
// State
recommendations: WorkflowRecommendation[];
patterns: BehaviorPattern[];
config: MeshConfig;
isLoading: boolean;
error: string | null;
lastAnalysis: string | null;
// Actions
analyze: () => Promise<void>;
acceptRecommendation: (recommendationId: string) => Promise<void>;
dismissRecommendation: (recommendationId: string) => Promise<void>;
recordActivity: (activity: ActivityType, context: PatternContext) => Promise<void>;
getPatterns: () => Promise<void>;
updateConfig: (config: Partial<MeshConfig>) => Promise<void>;
decayPatterns: () => Promise<void>;
clearError: () => void;
}
// === Store ===
export const useMeshStore = create<MeshState>((set, get) => ({
// Initial state
recommendations: [],
patterns: [],
config: {
enabled: true,
min_confidence: 0.6,
max_recommendations: 5,
analysis_window_hours: 24,
},
isLoading: false,
error: null,
lastAnalysis: null,
// Actions
analyze: async () => {
set({ isLoading: true, error: null });
try {
const agentId = localStorage.getItem('currentAgentId') || 'default';
const result = await invoke<MeshAnalysisResult>('mesh_analyze', { agentId });
set({
recommendations: result.recommendations,
patterns: [], // Will be populated by getPatterns
lastAnalysis: result.timestamp,
isLoading: false,
});
// Also fetch patterns
await get().getPatterns();
} catch (err) {
set({
error: err instanceof Error ? err.message : String(err),
isLoading: false,
});
}
},
acceptRecommendation: async (recommendationId: string) => {
try {
const agentId = localStorage.getItem('currentAgentId') || 'default';
await invoke('mesh_accept_recommendation', { agentId, recommendationId });
// Remove from local state
set((state) => ({
recommendations: state.recommendations.filter((r) => r.id !== recommendationId),
}));
} catch (err) {
set({ error: err instanceof Error ? err.message : String(err) });
}
},
dismissRecommendation: async (recommendationId: string) => {
try {
const agentId = localStorage.getItem('currentAgentId') || 'default';
await invoke('mesh_dismiss_recommendation', { agentId, recommendationId });
// Remove from local state
set((state) => ({
recommendations: state.recommendations.filter((r) => r.id !== recommendationId),
}));
} catch (err) {
set({ error: err instanceof Error ? err.message : String(err) });
}
},
recordActivity: async (activity: ActivityType, context: PatternContext) => {
try {
const agentId = localStorage.getItem('currentAgentId') || 'default';
await invoke('mesh_record_activity', { agentId, activityType: activity, context });
} catch (err) {
console.error('Failed to record activity:', err);
}
},
getPatterns: async () => {
try {
const agentId = localStorage.getItem('currentAgentId') || 'default';
const patterns = await invoke<BehaviorPattern[]>('mesh_get_patterns', { agentId });
set({ patterns });
} catch (err) {
console.error('Failed to get patterns:', err);
}
},
updateConfig: async (config: Partial<MeshConfig>) => {
try {
const agentId = localStorage.getItem('currentAgentId') || 'default';
const newConfig = { ...get().config, ...config };
await invoke('mesh_update_config', { agentId, config: newConfig });
set({ config: newConfig });
} catch (err) {
set({ error: err instanceof Error ? err.message : String(err) });
}
},
decayPatterns: async () => {
try {
const agentId = localStorage.getItem('currentAgentId') || 'default';
await invoke('mesh_decay_patterns', { agentId });
// Refresh patterns after decay
await get().getPatterns();
} catch (err) {
console.error('Failed to decay patterns:', err);
}
},
clearError: () => set({ error: null }),
}));
// === Types for intelligence-client ===
export type {
WorkflowRecommendation,
BehaviorPattern,
MeshConfig,
MeshAnalysisResult,
PatternContext,
ActivityType,
};

View File

@@ -0,0 +1,195 @@
/**
* Persona Evolution Store
*
* Manages persona evolution state and proposals.
*/
import { create } from 'zustand';
import { invoke } from '@tauri-apps/api/core';
import type {
EvolutionResult,
EvolutionProposal,
PersonaEvolverConfig,
PersonaEvolverState,
MemoryEntryForAnalysis,
} from '../lib/intelligence-client';
export interface PersonaEvolutionStore {
// State
currentAgentId: string;
proposals: EvolutionProposal[];
history: EvolutionResult[];
isLoading: boolean;
error: string | null;
config: PersonaEvolverConfig | null;
state: PersonaEvolverState | null;
showProposalsPanel: boolean;
// Actions
setCurrentAgentId: (agentId: string) => void;
setShowProposalsPanel: (show: boolean) => void;
// Evolution Actions
runEvolution: (memories: MemoryEntryForAnalysis[]) => Promise<EvolutionResult | null>;
loadEvolutionHistory: (limit?: number) => Promise<void>;
loadEvolverState: () => Promise<void>;
loadEvolverConfig: () => Promise<void>;
updateConfig: (config: Partial<PersonaEvolverConfig>) => Promise<void>;
// Proposal Actions
getPendingProposals: () => EvolutionProposal[];
applyProposal: (proposal: EvolutionProposal) => Promise<boolean>;
dismissProposal: (proposalId: string) => void;
clearProposals: () => void;
}
export const usePersonaEvolutionStore = create<PersonaEvolutionStore>((set, get) => ({
// Initial State
currentAgentId: '',
proposals: [],
history: [],
isLoading: false,
error: null,
config: null,
state: null,
showProposalsPanel: false,
// Setters
setCurrentAgentId: (agentId: string) => set({ currentAgentId: agentId }),
setShowProposalsPanel: (show: boolean) => set({ showProposalsPanel: show }),
// Run evolution cycle for current agent
runEvolution: async (memories: MemoryEntryForAnalysis[]) => {
const { currentAgentId } = get();
if (!currentAgentId) {
set({ error: 'No agent selected' });
return null;
}
set({ isLoading: true, error: null });
try {
const result = await invoke<EvolutionResult>('persona_evolve', {
agentId: currentAgentId,
memories,
});
// Update state with results
set((state) => ({
history: [result, ...state.history].slice(0, 20),
proposals: [...result.proposals, ...state.proposals],
isLoading: false,
showProposalsPanel: result.proposals.length > 0,
}));
return result;
} catch (err) {
const errorMsg = err instanceof Error ? err.message : String(err);
set({ error: errorMsg, isLoading: false });
return null;
}
},
// Load evolution history
loadEvolutionHistory: async (limit = 10) => {
set({ isLoading: true, error: null });
try {
const history = await invoke<EvolutionResult[]>('persona_evolution_history', {
limit,
});
set({ history, isLoading: false });
} catch (err) {
const errorMsg = err instanceof Error ? err.message : String(err);
set({ error: errorMsg, isLoading: false });
}
},
// Load evolver state
loadEvolverState: async () => {
try {
const state = await invoke<PersonaEvolverState>('persona_evolver_state');
set({ state });
} catch (err) {
console.error('[PersonaStore] Failed to load evolver state:', err);
}
},
// Load evolver config
loadEvolverConfig: async () => {
try {
const config = await invoke<PersonaEvolverConfig>('persona_evolver_config');
set({ config });
} catch (err) {
console.error('[PersonaStore] Failed to load evolver config:', err);
}
},
// Update evolver config
updateConfig: async (newConfig: Partial<PersonaEvolverConfig>) => {
const { config } = get();
if (!config) return;
const updatedConfig = { ...config, ...newConfig };
try {
await invoke('persona_evolver_update_config', { config: updatedConfig });
set({ config: updatedConfig });
} catch (err) {
const errorMsg = err instanceof Error ? err.message : String(err);
set({ error: errorMsg });
}
},
// Get pending proposals sorted by confidence
getPendingProposals: () => {
const { proposals } = get();
return proposals
.filter((p) => p.status === 'pending')
.sort((a, b) => b.confidence - a.confidence);
},
// Apply a proposal (approve)
applyProposal: async (proposal: EvolutionProposal) => {
set({ isLoading: true, error: null });
try {
await invoke('persona_apply_proposal', { proposal });
// Remove from pending list
set((state) => ({
proposals: state.proposals.filter((p) => p.id !== proposal.id),
isLoading: false,
}));
return true;
} catch (err) {
const errorMsg = err instanceof Error ? err.message : String(err);
set({ error: errorMsg, isLoading: false });
return false;
}
},
// Dismiss a proposal (reject)
dismissProposal: (proposalId: string) => {
set((state) => ({
proposals: state.proposals.filter((p) => p.id !== proposalId),
}));
},
// Clear all proposals
clearProposals: () => set({ proposals: [] }),
}));
// Export convenience hooks
export const usePendingProposals = () =>
usePersonaEvolutionStore((state) => state.getPendingProposals());
export const useEvolutionHistory = () =>
usePersonaEvolutionStore((state) => state.history);
export const useEvolverConfig = () =>
usePersonaEvolutionStore((state) => state.config);
export const useEvolverState = () =>
usePersonaEvolutionStore((state) => state.state);