feat(hermes): implement intelligence pipeline — 4 chunks, 684 tests passing

Hermes Intelligence Pipeline closes breakpoints in ZCLAW's existing
intelligence components with 4 self-contained modules:

Chunk 1 — Self-improvement Loop:
- ExperienceStore (zclaw-growth): FTS5+TF-IDF wrapper with scope prefix
- ExperienceExtractor (desktop/intelligence): template-based extraction
  from successful proposals with implicit keyword detection

Chunk 2 — User Modeling:
- UserProfileStore (zclaw-memory): SQLite-backed structured profiles
  with industry/role/expertise/comm_style/recent_topics/pain_points
- UserProfiler (desktop/intelligence): fact classification by category
  (Preference/Knowledge/Behavior) with profile summary formatting

Chunk 3 — NL Cron Chinese Time Parser:
- NlScheduleParser (zclaw-runtime): 6 pattern matchers for Chinese time
  expressions (每天/每周/工作日/间隔/每月/一次性) producing cron expressions
- Period-aware hour adjustment (下午3点→15, 晚上8点→20)
- Schedule intent detection + task description extraction

Chunk 4 — Trajectory Compression:
- TrajectoryStore (zclaw-memory): trajectory_events + compressed_trajectories
- TrajectoryRecorderMiddleware (zclaw-runtime/middleware): priority 650,
  async non-blocking event recording via tokio::spawn
- TrajectoryCompressor (desktop/intelligence): dedup, request classification,
  satisfaction detection, execution chain JSON

Schema migrations: v2→v3 (user_profiles), v3→v4 (trajectory tables)
This commit is contained in:
iven
2026-04-09 17:47:43 +08:00
parent 0883bb28ff
commit 4b15ead8e7
15 changed files with 4225 additions and 0 deletions

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@@ -0,0 +1,356 @@
//! ExperienceStore — CRUD wrapper over VikingStorage for agent experiences.
//!
//! Stores structured experiences extracted from successful solution proposals
//! using the scope prefix `agent://{agent_id}/experience/{pattern_hash}`.
//! Leverages existing FTS5 + TF-IDF + embedding retrieval via VikingAdapter.
use std::sync::Arc;
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use tracing::{debug, warn};
use uuid::Uuid;
use crate::types::{MemoryEntry, MemoryType};
use crate::viking_adapter::{FindOptions, VikingAdapter};
// ---------------------------------------------------------------------------
// Experience data model
// ---------------------------------------------------------------------------
/// A structured experience record representing a solved pain point.
///
/// Stored as JSON content inside a VikingStorage `MemoryEntry` with
/// `memory_type = Experience`.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Experience {
/// Unique experience identifier.
pub id: String,
/// Owning agent.
pub agent_id: String,
/// Short pattern describing the pain that was solved (e.g. "logistics export packaging").
pub pain_pattern: String,
/// Context in which the problem occurred.
pub context: String,
/// Ordered steps that resolved the problem.
pub solution_steps: Vec<String>,
/// Verbal outcome reported by the user.
pub outcome: String,
/// How many times this experience has been reused as a reference.
pub reuse_count: u32,
/// Timestamp of initial creation.
pub created_at: DateTime<Utc>,
/// Timestamp of most recent reuse or update.
pub updated_at: DateTime<Utc>,
}
impl Experience {
/// Create a new experience with the given fields.
pub fn new(
agent_id: &str,
pain_pattern: &str,
context: &str,
solution_steps: Vec<String>,
outcome: &str,
) -> Self {
let now = Utc::now();
Self {
id: Uuid::new_v4().to_string(),
agent_id: agent_id.to_string(),
pain_pattern: pain_pattern.to_string(),
context: context.to_string(),
solution_steps,
outcome: outcome.to_string(),
reuse_count: 0,
created_at: now,
updated_at: now,
}
}
/// Deterministic URI for this experience, keyed on a stable hash of the
/// pain pattern so duplicate patterns overwrite the same entry.
pub fn uri(&self) -> String {
let hash = simple_hash(&self.pain_pattern);
format!("agent://{}/experience/{}", self.agent_id, hash)
}
}
/// FNV-1ainspired stable 8-hex-char hash. Good enough for deduplication;
/// collisions are acceptable because the full `pain_pattern` is still stored.
fn simple_hash(s: &str) -> String {
let mut h: u32 = 2166136261;
for b in s.as_bytes() {
h ^= *b as u32;
h = h.wrapping_mul(16777619);
}
format!("{:08x}", h)
}
// ---------------------------------------------------------------------------
// ExperienceStore
// ---------------------------------------------------------------------------
/// CRUD wrapper that persists [`Experience`] records through [`VikingAdapter`].
pub struct ExperienceStore {
viking: Arc<VikingAdapter>,
}
impl ExperienceStore {
/// Create a new store backed by the given VikingAdapter.
pub fn new(viking: Arc<VikingAdapter>) -> Self {
Self { viking }
}
/// Store (or overwrite) an experience. The URI is derived from
/// `agent_id + pain_pattern`, ensuring one experience per pattern.
pub async fn store_experience(&self, exp: &Experience) -> zclaw_types::Result<()> {
let uri = exp.uri();
let content = serde_json::to_string(exp)?;
let mut keywords = vec![exp.pain_pattern.clone()];
keywords.extend(exp.solution_steps.iter().take(3).cloned());
let entry = MemoryEntry {
uri,
memory_type: MemoryType::Experience,
content,
keywords,
importance: 8,
access_count: 0,
created_at: exp.created_at,
last_accessed: exp.updated_at,
overview: Some(exp.pain_pattern.clone()),
abstract_summary: Some(exp.outcome.clone()),
};
self.viking.store(&entry).await?;
debug!("[ExperienceStore] Stored experience {} for agent {}", exp.id, exp.agent_id);
Ok(())
}
/// Find experiences whose pain pattern matches the given query.
pub async fn find_by_pattern(
&self,
agent_id: &str,
pattern_query: &str,
) -> zclaw_types::Result<Vec<Experience>> {
let scope = format!("agent://{}/experience/", agent_id);
let opts = FindOptions {
scope: Some(scope),
limit: Some(10),
min_similarity: None,
};
let entries = self.viking.find(pattern_query, opts).await?;
let mut results = Vec::with_capacity(entries.len());
for entry in entries {
match serde_json::from_str::<Experience>(&entry.content) {
Ok(exp) => results.push(exp),
Err(e) => warn!("[ExperienceStore] Failed to deserialize experience at {}: {}", entry.uri, e),
}
}
Ok(results)
}
/// Return all experiences for a given agent.
pub async fn find_by_agent(
&self,
agent_id: &str,
) -> zclaw_types::Result<Vec<Experience>> {
let prefix = format!("agent://{}/experience/", agent_id);
let entries = self.viking.find_by_prefix(&prefix).await?;
let mut results = Vec::with_capacity(entries.len());
for entry in entries {
match serde_json::from_str::<Experience>(&entry.content) {
Ok(exp) => results.push(exp),
Err(e) => warn!("[ExperienceStore] Failed to deserialize experience at {}: {}", entry.uri, e),
}
}
Ok(results)
}
/// Increment the reuse counter for an existing experience.
/// On failure, logs a warning but does **not** propagate the error so
/// callers are never blocked.
pub async fn increment_reuse(&self, exp: &Experience) {
let mut updated = exp.clone();
updated.reuse_count += 1;
updated.updated_at = Utc::now();
if let Err(e) = self.store_experience(&updated).await {
warn!("[ExperienceStore] Failed to increment reuse for {}: {}", exp.id, e);
}
}
/// Delete a single experience by its URI.
pub async fn delete(&self, exp: &Experience) -> zclaw_types::Result<()> {
let uri = exp.uri();
self.viking.delete(&uri).await?;
debug!("[ExperienceStore] Deleted experience {} for agent {}", exp.id, exp.agent_id);
Ok(())
}
}
// ---------------------------------------------------------------------------
// Tests
// ---------------------------------------------------------------------------
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_experience_new() {
let exp = Experience::new(
"agent-1",
"logistics export packaging",
"export packaging rejected by customs",
vec!["check regulations".into(), "use approved materials".into()],
"packaging passed customs",
);
assert!(!exp.id.is_empty());
assert_eq!(exp.agent_id, "agent-1");
assert_eq!(exp.solution_steps.len(), 2);
assert_eq!(exp.reuse_count, 0);
}
#[test]
fn test_uri_deterministic() {
let exp1 = Experience::new(
"agent-1", "packaging issue", "ctx",
vec!["step1".into()], "ok",
);
// Second experience with same agent + pattern should produce the same URI.
let mut exp2 = exp1.clone();
exp2.id = "different-id".to_string();
assert_eq!(exp1.uri(), exp2.uri());
}
#[test]
fn test_uri_differs_for_different_patterns() {
let exp_a = Experience::new(
"agent-1", "packaging issue", "ctx",
vec!["step1".into()], "ok",
);
let exp_b = Experience::new(
"agent-1", "compliance gap", "ctx",
vec!["step1".into()], "ok",
);
assert_ne!(exp_a.uri(), exp_b.uri());
}
#[test]
fn test_simple_hash_stability() {
let h1 = simple_hash("hello world");
let h2 = simple_hash("hello world");
assert_eq!(h1, h2);
assert_eq!(h1.len(), 8);
}
#[tokio::test]
async fn test_store_and_find_by_agent() {
let viking = Arc::new(VikingAdapter::in_memory());
let store = ExperienceStore::new(viking);
let exp = Experience::new(
"agent-42",
"export document errors",
"recurring mistakes in export docs",
vec!["use template".into(), "auto-validate".into()],
"no more errors",
);
store.store_experience(&exp).await.unwrap();
let found = store.find_by_agent("agent-42").await.unwrap();
assert_eq!(found.len(), 1);
assert_eq!(found[0].pain_pattern, "export document errors");
assert_eq!(found[0].solution_steps.len(), 2);
}
#[tokio::test]
async fn test_store_overwrites_same_pattern() {
let viking = Arc::new(VikingAdapter::in_memory());
let store = ExperienceStore::new(viking);
let exp_v1 = Experience::new(
"agent-1", "packaging", "v1",
vec!["old step".into()], "ok",
);
store.store_experience(&exp_v1).await.unwrap();
let exp_v2 = Experience::new(
"agent-1", "packaging", "v2 updated",
vec!["new step".into()], "better",
);
// Force same URI by reusing the ID logic — same pattern → same URI.
store.store_experience(&exp_v2).await.unwrap();
let found = store.find_by_agent("agent-1").await.unwrap();
// Should be overwritten, not duplicated (same URI).
assert_eq!(found.len(), 1);
assert_eq!(found[0].context, "v2 updated");
}
#[tokio::test]
async fn test_find_by_pattern() {
let viking = Arc::new(VikingAdapter::in_memory());
let store = ExperienceStore::new(viking);
let exp = Experience::new(
"agent-1",
"logistics packaging compliance",
"export compliance issues",
vec!["check regulations".into()],
"passed audit",
);
store.store_experience(&exp).await.unwrap();
let found = store.find_by_pattern("agent-1", "packaging").await.unwrap();
assert_eq!(found.len(), 1);
}
#[tokio::test]
async fn test_increment_reuse() {
let viking = Arc::new(VikingAdapter::in_memory());
let store = ExperienceStore::new(viking);
let exp = Experience::new(
"agent-1", "packaging", "ctx",
vec!["step".into()], "ok",
);
store.store_experience(&exp).await.unwrap();
store.increment_reuse(&exp).await;
let found = store.find_by_agent("agent-1").await.unwrap();
assert_eq!(found[0].reuse_count, 1);
}
#[tokio::test]
async fn test_delete_experience() {
let viking = Arc::new(VikingAdapter::in_memory());
let store = ExperienceStore::new(viking);
let exp = Experience::new(
"agent-1", "packaging", "ctx",
vec!["step".into()], "ok",
);
store.store_experience(&exp).await.unwrap();
store.delete(&exp).await.unwrap();
let found = store.find_by_agent("agent-1").await.unwrap();
assert!(found.is_empty());
}
#[tokio::test]
async fn test_find_by_agent_filters_other_agents() {
let viking = Arc::new(VikingAdapter::in_memory());
let store = ExperienceStore::new(viking);
let exp_a = Experience::new("agent-a", "packaging", "ctx", vec!["s".into()], "ok");
let exp_b = Experience::new("agent-b", "compliance", "ctx", vec!["s".into()], "ok");
store.store_experience(&exp_a).await.unwrap();
store.store_experience(&exp_b).await.unwrap();
let found_a = store.find_by_agent("agent-a").await.unwrap();
assert_eq!(found_a.len(), 1);
assert_eq!(found_a[0].pain_pattern, "packaging");
}
}

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@@ -64,6 +64,7 @@ pub mod viking_adapter;
pub mod storage;
pub mod retrieval;
pub mod summarizer;
pub mod experience_store;
// Re-export main types for convenience
pub use types::{
@@ -85,6 +86,7 @@ pub use injector::{InjectionFormat, PromptInjector};
pub use tracker::{AgentMetadata, GrowthTracker, LearningEvent};
pub use viking_adapter::{FindOptions, VikingAdapter, VikingLevel, VikingStorage};
pub use storage::SqliteStorage;
pub use experience_store::{Experience, ExperienceStore};
pub use retrieval::{EmbeddingClient, MemoryCache, QueryAnalyzer, SemanticScorer};
pub use summarizer::SummaryLlmDriver;

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@@ -6,8 +6,15 @@ mod store;
mod session;
mod schema;
pub mod fact;
pub mod user_profile_store;
pub mod trajectory_store;
pub use store::*;
pub use session::*;
pub use schema::*;
pub use fact::{Fact, FactCategory, ExtractedFactBatch};
pub use user_profile_store::{UserProfileStore, UserProfile, Level, CommStyle};
pub use trajectory_store::{
TrajectoryEvent, TrajectoryStore, TrajectoryStepType,
CompressedTrajectory, CompletionStatus, SatisfactionSignal,
};

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@@ -93,4 +93,47 @@ pub const MIGRATIONS: &[&str] = &[
// v1→v2: persist runtime state and message count
"ALTER TABLE agents ADD COLUMN state TEXT NOT NULL DEFAULT 'running'",
"ALTER TABLE agents ADD COLUMN message_count INTEGER NOT NULL DEFAULT 0",
// v2→v3: user profiles for structured user modeling
"CREATE TABLE IF NOT EXISTS user_profiles (
user_id TEXT PRIMARY KEY,
industry TEXT,
role TEXT,
expertise_level TEXT,
communication_style TEXT,
preferred_language TEXT DEFAULT 'zh-CN',
recent_topics TEXT DEFAULT '[]',
active_pain_points TEXT DEFAULT '[]',
preferred_tools TEXT DEFAULT '[]',
confidence REAL DEFAULT 0.0,
updated_at TEXT NOT NULL
)",
// v3→v4: trajectory recording for tool-call chain analysis
"CREATE TABLE IF NOT EXISTS trajectory_events (
id TEXT PRIMARY KEY,
session_id TEXT NOT NULL,
agent_id TEXT NOT NULL,
step_index INTEGER NOT NULL,
step_type TEXT NOT NULL,
input_summary TEXT,
output_summary TEXT,
duration_ms INTEGER DEFAULT 0,
timestamp TEXT NOT NULL
)",
"CREATE INDEX IF NOT EXISTS idx_trajectory_session ON trajectory_events(session_id)",
"CREATE TABLE IF NOT EXISTS compressed_trajectories (
id TEXT PRIMARY KEY,
session_id TEXT NOT NULL,
agent_id TEXT NOT NULL,
request_type TEXT NOT NULL,
tools_used TEXT,
outcome TEXT NOT NULL,
total_steps INTEGER DEFAULT 0,
total_duration_ms INTEGER DEFAULT 0,
total_tokens INTEGER DEFAULT 0,
execution_chain TEXT NOT NULL,
satisfaction_signal TEXT,
created_at TEXT NOT NULL
)",
"CREATE INDEX IF NOT EXISTS idx_ct_request_type ON compressed_trajectories(request_type)",
"CREATE INDEX IF NOT EXISTS idx_ct_outcome ON compressed_trajectories(outcome)",
];

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@@ -0,0 +1,563 @@
//! Trajectory Store -- record and compress tool-call chains for analysis.
//!
//! Stores raw trajectory events (user requests, tool calls, LLM generations)
//! and compressed trajectory summaries. Used by the Hermes Intelligence Pipeline
//! to analyze agent behaviour patterns and improve routing over time.
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use sqlx::SqlitePool;
use zclaw_types::{Result, ZclawError};
// ---------------------------------------------------------------------------
// Types
// ---------------------------------------------------------------------------
/// Step type in a trajectory.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
#[serde(rename_all = "snake_case")]
pub enum TrajectoryStepType {
UserRequest,
IntentClassification,
SkillSelection,
ToolExecution,
LlmGeneration,
UserFeedback,
}
impl TrajectoryStepType {
/// Serialize to the string stored in SQLite.
pub fn as_str(&self) -> &'static str {
match self {
Self::UserRequest => "user_request",
Self::IntentClassification => "intent_classification",
Self::SkillSelection => "skill_selection",
Self::ToolExecution => "tool_execution",
Self::LlmGeneration => "llm_generation",
Self::UserFeedback => "user_feedback",
}
}
/// Deserialize from the SQLite string representation.
pub fn from_str_lossy(s: &str) -> Self {
match s {
"user_request" => Self::UserRequest,
"intent_classification" => Self::IntentClassification,
"skill_selection" => Self::SkillSelection,
"tool_execution" => Self::ToolExecution,
"llm_generation" => Self::LlmGeneration,
"user_feedback" => Self::UserFeedback,
_ => Self::UserRequest,
}
}
}
/// Single trajectory event.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TrajectoryEvent {
pub id: String,
pub session_id: String,
pub agent_id: String,
pub step_index: usize,
pub step_type: TrajectoryStepType,
/// Summarised input (max 200 chars).
pub input_summary: String,
/// Summarised output (max 200 chars).
pub output_summary: String,
pub duration_ms: u64,
pub timestamp: DateTime<Utc>,
}
/// Satisfaction signal inferred from user feedback.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
#[serde(rename_all = "lowercase")]
pub enum SatisfactionSignal {
Positive,
Negative,
Neutral,
}
impl SatisfactionSignal {
pub fn as_str(&self) -> &'static str {
match self {
Self::Positive => "positive",
Self::Negative => "negative",
Self::Neutral => "neutral",
}
}
pub fn from_str_lossy(s: &str) -> Option<Self> {
match s {
"positive" => Some(Self::Positive),
"negative" => Some(Self::Negative),
"neutral" => Some(Self::Neutral),
_ => None,
}
}
}
/// Completion status of a compressed trajectory.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
#[serde(rename_all = "lowercase")]
pub enum CompletionStatus {
Success,
Partial,
Failed,
Abandoned,
}
impl CompletionStatus {
pub fn as_str(&self) -> &'static str {
match self {
Self::Success => "success",
Self::Partial => "partial",
Self::Failed => "failed",
Self::Abandoned => "abandoned",
}
}
pub fn from_str_lossy(s: &str) -> Self {
match s {
"success" => Self::Success,
"partial" => Self::Partial,
"failed" => Self::Failed,
"abandoned" => Self::Abandoned,
_ => Self::Success,
}
}
}
/// Compressed trajectory (generated at session end).
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CompressedTrajectory {
pub id: String,
pub session_id: String,
pub agent_id: String,
pub request_type: String,
pub tools_used: Vec<String>,
pub outcome: CompletionStatus,
pub total_steps: usize,
pub total_duration_ms: u64,
pub total_tokens: u32,
/// Serialised JSON execution chain for analysis.
pub execution_chain: String,
pub satisfaction_signal: Option<SatisfactionSignal>,
pub created_at: DateTime<Utc>,
}
// ---------------------------------------------------------------------------
// Store
// ---------------------------------------------------------------------------
/// Persistent store for trajectory events and compressed trajectories.
pub struct TrajectoryStore {
pool: SqlitePool,
}
impl TrajectoryStore {
/// Create a new `TrajectoryStore` backed by the given SQLite pool.
pub fn new(pool: SqlitePool) -> Self {
Self { pool }
}
/// Create the required tables. Idempotent -- safe to call on startup.
pub async fn initialize_schema(&self) -> Result<()> {
sqlx::query(
r#"
CREATE TABLE IF NOT EXISTS trajectory_events (
id TEXT PRIMARY KEY,
session_id TEXT NOT NULL,
agent_id TEXT NOT NULL,
step_index INTEGER NOT NULL,
step_type TEXT NOT NULL,
input_summary TEXT,
output_summary TEXT,
duration_ms INTEGER DEFAULT 0,
timestamp TEXT NOT NULL
);
CREATE INDEX IF NOT EXISTS idx_trajectory_session ON trajectory_events(session_id);
"#,
)
.execute(&self.pool)
.await
.map_err(|e| ZclawError::StorageError(e.to_string()))?;
sqlx::query(
r#"
CREATE TABLE IF NOT EXISTS compressed_trajectories (
id TEXT PRIMARY KEY,
session_id TEXT NOT NULL,
agent_id TEXT NOT NULL,
request_type TEXT NOT NULL,
tools_used TEXT,
outcome TEXT NOT NULL,
total_steps INTEGER DEFAULT 0,
total_duration_ms INTEGER DEFAULT 0,
total_tokens INTEGER DEFAULT 0,
execution_chain TEXT NOT NULL,
satisfaction_signal TEXT,
created_at TEXT NOT NULL
);
CREATE INDEX IF NOT EXISTS idx_ct_request_type ON compressed_trajectories(request_type);
CREATE INDEX IF NOT EXISTS idx_ct_outcome ON compressed_trajectories(outcome);
"#,
)
.execute(&self.pool)
.await
.map_err(|e| ZclawError::StorageError(e.to_string()))?;
Ok(())
}
/// Insert a raw trajectory event.
pub async fn insert_event(&self, event: &TrajectoryEvent) -> Result<()> {
sqlx::query(
r#"
INSERT INTO trajectory_events
(id, session_id, agent_id, step_index, step_type,
input_summary, output_summary, duration_ms, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
"#,
)
.bind(&event.id)
.bind(&event.session_id)
.bind(&event.agent_id)
.bind(event.step_index as i64)
.bind(event.step_type.as_str())
.bind(&event.input_summary)
.bind(&event.output_summary)
.bind(event.duration_ms as i64)
.bind(event.timestamp.to_rfc3339())
.execute(&self.pool)
.await
.map_err(|e| {
tracing::warn!("[TrajectoryStore] insert_event failed: {}", e);
ZclawError::StorageError(e.to_string())
})?;
Ok(())
}
/// Retrieve all raw events for a session, ordered by step_index.
pub async fn get_events_by_session(&self, session_id: &str) -> Result<Vec<TrajectoryEvent>> {
let rows = sqlx::query_as::<_, (String, String, String, i64, String, Option<String>, Option<String>, Option<i64>, String)>(
r#"
SELECT id, session_id, agent_id, step_index, step_type,
input_summary, output_summary, duration_ms, timestamp
FROM trajectory_events
WHERE session_id = ?
ORDER BY step_index ASC
"#,
)
.bind(session_id)
.fetch_all(&self.pool)
.await
.map_err(|e| ZclawError::StorageError(e.to_string()))?;
let mut events = Vec::with_capacity(rows.len());
for (id, sid, aid, step_idx, stype, input_s, output_s, dur_ms, ts) in rows {
let timestamp = DateTime::parse_from_rfc3339(&ts)
.map(|dt| dt.with_timezone(&Utc))
.unwrap_or_else(|_| Utc::now());
events.push(TrajectoryEvent {
id,
session_id: sid,
agent_id: aid,
step_index: step_idx as usize,
step_type: TrajectoryStepType::from_str_lossy(&stype),
input_summary: input_s.unwrap_or_default(),
output_summary: output_s.unwrap_or_default(),
duration_ms: dur_ms.unwrap_or(0) as u64,
timestamp,
});
}
Ok(events)
}
/// Insert a compressed trajectory.
pub async fn insert_compressed(&self, trajectory: &CompressedTrajectory) -> Result<()> {
let tools_json = serde_json::to_string(&trajectory.tools_used)
.map_err(|e| ZclawError::StorageError(e.to_string()))?;
sqlx::query(
r#"
INSERT INTO compressed_trajectories
(id, session_id, agent_id, request_type, tools_used,
outcome, total_steps, total_duration_ms, total_tokens,
execution_chain, satisfaction_signal, created_at)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
"#,
)
.bind(&trajectory.id)
.bind(&trajectory.session_id)
.bind(&trajectory.agent_id)
.bind(&trajectory.request_type)
.bind(&tools_json)
.bind(trajectory.outcome.as_str())
.bind(trajectory.total_steps as i64)
.bind(trajectory.total_duration_ms as i64)
.bind(trajectory.total_tokens as i64)
.bind(&trajectory.execution_chain)
.bind(trajectory.satisfaction_signal.map(|s| s.as_str()))
.bind(trajectory.created_at.to_rfc3339())
.execute(&self.pool)
.await
.map_err(|e| {
tracing::warn!("[TrajectoryStore] insert_compressed failed: {}", e);
ZclawError::StorageError(e.to_string())
})?;
Ok(())
}
/// Retrieve the compressed trajectory for a session, if any.
pub async fn get_compressed_by_session(&self, session_id: &str) -> Result<Option<CompressedTrajectory>> {
let row = sqlx::query_as::<_, (
String, String, String, String, Option<String>,
String, i64, i64, i64, String, Option<String>, String,
)>(
r#"
SELECT id, session_id, agent_id, request_type, tools_used,
outcome, total_steps, total_duration_ms, total_tokens,
execution_chain, satisfaction_signal, created_at
FROM compressed_trajectories
WHERE session_id = ?
"#,
)
.bind(session_id)
.fetch_optional(&self.pool)
.await
.map_err(|e| ZclawError::StorageError(e.to_string()))?;
match row {
Some((id, sid, aid, req_type, tools_json, outcome_str, steps, dur_ms, tokens, chain, sat, created)) => {
let tools_used: Vec<String> = tools_json
.as_deref()
.and_then(|j| serde_json::from_str(j).ok())
.unwrap_or_default();
let timestamp = DateTime::parse_from_rfc3339(&created)
.map(|dt| dt.with_timezone(&Utc))
.unwrap_or_else(|_| Utc::now());
Ok(Some(CompressedTrajectory {
id,
session_id: sid,
agent_id: aid,
request_type: req_type,
tools_used,
outcome: CompletionStatus::from_str_lossy(&outcome_str),
total_steps: steps as usize,
total_duration_ms: dur_ms as u64,
total_tokens: tokens as u32,
execution_chain: chain,
satisfaction_signal: sat.as_deref().and_then(SatisfactionSignal::from_str_lossy),
created_at: timestamp,
}))
}
None => Ok(None),
}
}
/// Delete raw trajectory events older than `days` days. Returns count deleted.
pub async fn delete_events_older_than(&self, days: i64) -> Result<u64> {
let result = sqlx::query(
r#"
DELETE FROM trajectory_events
WHERE timestamp < datetime('now', ?)
"#,
)
.bind(format!("-{} days", days))
.execute(&self.pool)
.await
.map_err(|e| {
tracing::warn!("[TrajectoryStore] delete_events_older_than failed: {}", e);
ZclawError::StorageError(e.to_string())
})?;
Ok(result.rows_affected())
}
/// Delete compressed trajectories older than `days` days. Returns count deleted.
pub async fn delete_compressed_older_than(&self, days: i64) -> Result<u64> {
let result = sqlx::query(
r#"
DELETE FROM compressed_trajectories
WHERE created_at < datetime('now', ?)
"#,
)
.bind(format!("-{} days", days))
.execute(&self.pool)
.await
.map_err(|e| {
tracing::warn!("[TrajectoryStore] delete_compressed_older_than failed: {}", e);
ZclawError::StorageError(e.to_string())
})?;
Ok(result.rows_affected())
}
}
// ---------------------------------------------------------------------------
// Tests
// ---------------------------------------------------------------------------
#[cfg(test)]
mod tests {
use super::*;
async fn test_store() -> TrajectoryStore {
let pool = SqlitePool::connect("sqlite::memory:")
.await
.expect("in-memory pool");
let store = TrajectoryStore::new(pool);
store.initialize_schema().await.expect("schema init");
store
}
fn sample_event(index: usize) -> TrajectoryEvent {
TrajectoryEvent {
id: format!("evt-{}", index),
session_id: "sess-1".to_string(),
agent_id: "agent-1".to_string(),
step_index: index,
step_type: TrajectoryStepType::ToolExecution,
input_summary: "search query".to_string(),
output_summary: "3 results found".to_string(),
duration_ms: 150,
timestamp: Utc::now(),
}
}
#[tokio::test]
async fn test_insert_and_get_events() {
let store = test_store().await;
let e1 = sample_event(0);
let e2 = TrajectoryEvent {
id: "evt-1".to_string(),
step_index: 1,
step_type: TrajectoryStepType::LlmGeneration,
..sample_event(0)
};
store.insert_event(&e1).await.unwrap();
store.insert_event(&e2).await.unwrap();
let events = store.get_events_by_session("sess-1").await.unwrap();
assert_eq!(events.len(), 2);
assert_eq!(events[0].step_index, 0);
assert_eq!(events[1].step_index, 1);
assert_eq!(events[0].step_type, TrajectoryStepType::ToolExecution);
assert_eq!(events[1].step_type, TrajectoryStepType::LlmGeneration);
}
#[tokio::test]
async fn test_get_events_empty_session() {
let store = test_store().await;
let events = store.get_events_by_session("nonexistent").await.unwrap();
assert!(events.is_empty());
}
#[tokio::test]
async fn test_insert_and_get_compressed() {
let store = test_store().await;
let ct = CompressedTrajectory {
id: "ct-1".to_string(),
session_id: "sess-1".to_string(),
agent_id: "agent-1".to_string(),
request_type: "data_query".to_string(),
tools_used: vec!["search".to_string(), "calculate".to_string()],
outcome: CompletionStatus::Success,
total_steps: 5,
total_duration_ms: 1200,
total_tokens: 350,
execution_chain: r#"[{"step":0,"type":"tool_execution"}]"#.to_string(),
satisfaction_signal: Some(SatisfactionSignal::Positive),
created_at: Utc::now(),
};
store.insert_compressed(&ct).await.unwrap();
let loaded = store.get_compressed_by_session("sess-1").await.unwrap();
assert!(loaded.is_some());
let loaded = loaded.unwrap();
assert_eq!(loaded.id, "ct-1");
assert_eq!(loaded.request_type, "data_query");
assert_eq!(loaded.tools_used.len(), 2);
assert_eq!(loaded.outcome, CompletionStatus::Success);
assert_eq!(loaded.satisfaction_signal, Some(SatisfactionSignal::Positive));
}
#[tokio::test]
async fn test_get_compressed_nonexistent() {
let store = test_store().await;
let result = store.get_compressed_by_session("nonexistent").await.unwrap();
assert!(result.is_none());
}
#[tokio::test]
async fn test_step_type_roundtrip() {
let all_types = [
TrajectoryStepType::UserRequest,
TrajectoryStepType::IntentClassification,
TrajectoryStepType::SkillSelection,
TrajectoryStepType::ToolExecution,
TrajectoryStepType::LlmGeneration,
TrajectoryStepType::UserFeedback,
];
for st in all_types {
assert_eq!(TrajectoryStepType::from_str_lossy(st.as_str()), st);
}
}
#[tokio::test]
async fn test_satisfaction_signal_roundtrip() {
let signals = [SatisfactionSignal::Positive, SatisfactionSignal::Negative, SatisfactionSignal::Neutral];
for sig in signals {
assert_eq!(SatisfactionSignal::from_str_lossy(sig.as_str()), Some(sig));
}
assert_eq!(SatisfactionSignal::from_str_lossy("bogus"), None);
}
#[tokio::test]
async fn test_completion_status_roundtrip() {
let statuses = [CompletionStatus::Success, CompletionStatus::Partial, CompletionStatus::Failed, CompletionStatus::Abandoned];
for s in statuses {
assert_eq!(CompletionStatus::from_str_lossy(s.as_str()), s);
}
}
#[tokio::test]
async fn test_delete_events_older_than() {
let store = test_store().await;
// Insert an event with a timestamp far in the past
let old_event = TrajectoryEvent {
id: "old-evt".to_string(),
timestamp: Utc::now() - chrono::Duration::days(100),
..sample_event(0)
};
store.insert_event(&old_event).await.unwrap();
// Insert a recent event
let recent_event = TrajectoryEvent {
id: "recent-evt".to_string(),
step_index: 1,
..sample_event(0)
};
store.insert_event(&recent_event).await.unwrap();
let deleted = store.delete_events_older_than(30).await.unwrap();
assert_eq!(deleted, 1);
let remaining = store.get_events_by_session("sess-1").await.unwrap();
assert_eq!(remaining.len(), 1);
assert_eq!(remaining[0].id, "recent-evt");
}
}

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@@ -0,0 +1,592 @@
//! User Profile Store — structured user modeling from conversation patterns.
//!
//! Maintains a single `UserProfile` per user (desktop uses "default_user")
//! in a dedicated SQLite table. Vec fields (recent_topics, pain points,
//! preferred_tools) are stored as JSON arrays and transparently
//! (de)serialised on read/write.
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use sqlx::Row;
use sqlx::SqlitePool;
use zclaw_types::Result;
// ---------------------------------------------------------------------------
// Data types
// ---------------------------------------------------------------------------
/// Expertise level inferred from conversation patterns.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
#[serde(rename_all = "lowercase")]
pub enum Level {
Beginner,
Intermediate,
Expert,
}
impl Level {
pub fn as_str(&self) -> &'static str {
match self {
Level::Beginner => "beginner",
Level::Intermediate => "intermediate",
Level::Expert => "expert",
}
}
pub fn from_str_lossy(s: &str) -> Option<Self> {
match s {
"beginner" => Some(Level::Beginner),
"intermediate" => Some(Level::Intermediate),
"expert" => Some(Level::Expert),
_ => None,
}
}
}
/// Communication style preference.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
#[serde(rename_all = "lowercase")]
pub enum CommStyle {
Concise,
Detailed,
Formal,
Casual,
}
impl CommStyle {
pub fn as_str(&self) -> &'static str {
match self {
CommStyle::Concise => "concise",
CommStyle::Detailed => "detailed",
CommStyle::Formal => "formal",
CommStyle::Casual => "casual",
}
}
pub fn from_str_lossy(s: &str) -> Option<Self> {
match s {
"concise" => Some(CommStyle::Concise),
"detailed" => Some(CommStyle::Detailed),
"formal" => Some(CommStyle::Formal),
"casual" => Some(CommStyle::Casual),
_ => None,
}
}
}
/// Structured user profile (one record per user).
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct UserProfile {
pub user_id: String,
pub industry: Option<String>,
pub role: Option<String>,
pub expertise_level: Option<Level>,
pub communication_style: Option<CommStyle>,
pub preferred_language: String,
pub recent_topics: Vec<String>,
pub active_pain_points: Vec<String>,
pub preferred_tools: Vec<String>,
pub confidence: f32,
pub updated_at: DateTime<Utc>,
}
impl UserProfile {
/// Create a blank profile for the given user.
pub fn blank(user_id: &str) -> Self {
Self {
user_id: user_id.to_string(),
industry: None,
role: None,
expertise_level: None,
communication_style: None,
preferred_language: "zh-CN".to_string(),
recent_topics: Vec::new(),
active_pain_points: Vec::new(),
preferred_tools: Vec::new(),
confidence: 0.0,
updated_at: Utc::now(),
}
}
/// Default profile for single-user desktop mode ("default_user").
pub fn default_profile() -> Self {
Self::blank("default_user")
}
}
// ---------------------------------------------------------------------------
// DDL
// ---------------------------------------------------------------------------
const PROFILE_DDL: &str = r#"
CREATE TABLE IF NOT EXISTS user_profiles (
user_id TEXT PRIMARY KEY,
industry TEXT,
role TEXT,
expertise_level TEXT,
communication_style TEXT,
preferred_language TEXT DEFAULT 'zh-CN',
recent_topics TEXT DEFAULT '[]',
active_pain_points TEXT DEFAULT '[]',
preferred_tools TEXT DEFAULT '[]',
confidence REAL DEFAULT 0.0,
updated_at TEXT NOT NULL
)
"#;
// ---------------------------------------------------------------------------
// Row mapping
// ---------------------------------------------------------------------------
fn row_to_profile(row: &sqlx::sqlite::SqliteRow) -> Result<UserProfile> {
let recent_topics_json: String = row.try_get("recent_topics").unwrap_or_else(|_| "[]".to_string());
let pain_json: String = row.try_get("active_pain_points").unwrap_or_else(|_| "[]".to_string());
let tools_json: String = row.try_get("preferred_tools").unwrap_or_else(|_| "[]".to_string());
let recent_topics: Vec<String> = serde_json::from_str(&recent_topics_json)?;
let active_pain_points: Vec<String> = serde_json::from_str(&pain_json)?;
let preferred_tools: Vec<String> = serde_json::from_str(&tools_json)?;
let expertise_str: Option<String> = row.try_get("expertise_level").unwrap_or(None);
let comm_str: Option<String> = row.try_get("communication_style").unwrap_or(None);
let updated_at_str: String = row.try_get("updated_at").unwrap_or_else(|_| Utc::now().to_rfc3339());
let updated_at = DateTime::parse_from_rfc3339(&updated_at_str)
.map(|dt| dt.with_timezone(&Utc))
.unwrap_or_else(|_| Utc::now());
Ok(UserProfile {
user_id: row.try_get("user_id").unwrap_or_default(),
industry: row.try_get("industry").unwrap_or(None),
role: row.try_get("role").unwrap_or(None),
expertise_level: expertise_str.as_deref().and_then(Level::from_str_lossy),
communication_style: comm_str.as_deref().and_then(CommStyle::from_str_lossy),
preferred_language: row.try_get("preferred_language").unwrap_or_else(|_| "zh-CN".to_string()),
recent_topics,
active_pain_points,
preferred_tools,
confidence: row.try_get("confidence").unwrap_or(0.0),
updated_at,
})
}
// ---------------------------------------------------------------------------
// UserProfileStore
// ---------------------------------------------------------------------------
/// SQLite-backed store for user profiles.
pub struct UserProfileStore {
pool: SqlitePool,
}
impl UserProfileStore {
/// Create a new store backed by the given connection pool.
pub fn new(pool: SqlitePool) -> Self {
Self { pool }
}
/// Create tables. Idempotent — safe to call on every startup.
pub async fn initialize_schema(&self) -> Result<()> {
sqlx::query(PROFILE_DDL)
.execute(&self.pool)
.await
.map_err(|e| zclaw_types::ZclawError::StorageError(e.to_string()))?;
Ok(())
}
/// Fetch the profile for a user. Returns `None` when no row exists.
pub async fn get(&self, user_id: &str) -> Result<Option<UserProfile>> {
let row = sqlx::query(
"SELECT user_id, industry, role, expertise_level, communication_style, \
preferred_language, recent_topics, active_pain_points, preferred_tools, \
confidence, updated_at \
FROM user_profiles WHERE user_id = ?",
)
.bind(user_id)
.fetch_optional(&self.pool)
.await
.map_err(|e| zclaw_types::ZclawError::StorageError(e.to_string()))?;
match row {
Some(r) => Ok(Some(row_to_profile(&r)?)),
None => Ok(None),
}
}
/// Insert or replace the full profile.
pub async fn upsert(&self, profile: &UserProfile) -> Result<()> {
let topics = serde_json::to_string(&profile.recent_topics)?;
let pains = serde_json::to_string(&profile.active_pain_points)?;
let tools = serde_json::to_string(&profile.preferred_tools)?;
let expertise = profile.expertise_level.map(|l| l.as_str());
let comm = profile.communication_style.map(|c| c.as_str());
let updated = profile.updated_at.to_rfc3339();
sqlx::query(
"INSERT OR REPLACE INTO user_profiles \
(user_id, industry, role, expertise_level, communication_style, \
preferred_language, recent_topics, active_pain_points, preferred_tools, \
confidence, updated_at) \
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
)
.bind(&profile.user_id)
.bind(&profile.industry)
.bind(&profile.role)
.bind(expertise)
.bind(comm)
.bind(&profile.preferred_language)
.bind(&topics)
.bind(&pains)
.bind(&tools)
.bind(profile.confidence)
.bind(&updated)
.execute(&self.pool)
.await
.map_err(|e| zclaw_types::ZclawError::StorageError(e.to_string()))?;
Ok(())
}
/// Update a single scalar field by name.
///
/// `field` must be one of: industry, role, expertise_level,
/// communication_style, preferred_language, confidence.
/// Returns error for unrecognised field names (prevents SQL injection).
pub async fn update_field(&self, user_id: &str, field: &str, value: &str) -> Result<()> {
let sql = match field {
"industry" => "UPDATE user_profiles SET industry = ?, updated_at = ? WHERE user_id = ?",
"role" => "UPDATE user_profiles SET role = ?, updated_at = ? WHERE user_id = ?",
"expertise_level" => {
"UPDATE user_profiles SET expertise_level = ?, updated_at = ? WHERE user_id = ?"
}
"communication_style" => {
"UPDATE user_profiles SET communication_style = ?, updated_at = ? WHERE user_id = ?"
}
"preferred_language" => {
"UPDATE user_profiles SET preferred_language = ?, updated_at = ? WHERE user_id = ?"
}
"confidence" => {
"UPDATE user_profiles SET confidence = ?, updated_at = ? WHERE user_id = ?"
}
_ => {
return Err(zclaw_types::ZclawError::InvalidInput(format!(
"Unknown profile field: {}",
field
)));
}
};
let now = Utc::now().to_rfc3339();
// confidence is REAL; parse the value string.
if field == "confidence" {
let f: f32 = value.parse().map_err(|_| {
zclaw_types::ZclawError::InvalidInput(format!("Invalid confidence: {}", value))
})?;
sqlx::query(sql)
.bind(f)
.bind(&now)
.bind(user_id)
.execute(&self.pool)
.await
.map_err(|e| zclaw_types::ZclawError::StorageError(e.to_string()))?;
} else {
sqlx::query(sql)
.bind(value)
.bind(&now)
.bind(user_id)
.execute(&self.pool)
.await
.map_err(|e| zclaw_types::ZclawError::StorageError(e.to_string()))?;
}
Ok(())
}
/// Append a topic to `recent_topics`, trimming to `max_topics`.
/// Creates a default profile row if none exists.
pub async fn add_recent_topic(
&self,
user_id: &str,
topic: &str,
max_topics: usize,
) -> Result<()> {
let mut profile = self
.get(user_id)
.await?
.unwrap_or_else(|| UserProfile::blank(user_id));
// Deduplicate: remove if already present, then push to front.
profile.recent_topics.retain(|t| t != topic);
profile.recent_topics.insert(0, topic.to_string());
profile.recent_topics.truncate(max_topics);
profile.updated_at = Utc::now();
self.upsert(&profile).await
}
/// Append a pain point, trimming to `max_pains`.
/// Creates a default profile row if none exists.
pub async fn add_pain_point(
&self,
user_id: &str,
pain: &str,
max_pains: usize,
) -> Result<()> {
let mut profile = self
.get(user_id)
.await?
.unwrap_or_else(|| UserProfile::blank(user_id));
profile.active_pain_points.retain(|p| p != pain);
profile.active_pain_points.insert(0, pain.to_string());
profile.active_pain_points.truncate(max_pains);
profile.updated_at = Utc::now();
self.upsert(&profile).await
}
/// Append a preferred tool, trimming to `max_tools`.
/// Creates a default profile row if none exists.
pub async fn add_preferred_tool(
&self,
user_id: &str,
tool: &str,
max_tools: usize,
) -> Result<()> {
let mut profile = self
.get(user_id)
.await?
.unwrap_or_else(|| UserProfile::blank(user_id));
profile.preferred_tools.retain(|t| t != tool);
profile.preferred_tools.insert(0, tool.to_string());
profile.preferred_tools.truncate(max_tools);
profile.updated_at = Utc::now();
self.upsert(&profile).await
}
}
// ---------------------------------------------------------------------------
// Tests
// ---------------------------------------------------------------------------
#[cfg(test)]
mod tests {
use super::*;
/// Helper: create an in-memory store with schema.
async fn test_store() -> UserProfileStore {
let pool = SqlitePool::connect("sqlite::memory:")
.await
.expect("in-memory pool");
let store = UserProfileStore::new(pool);
store.initialize_schema().await.expect("schema init");
store
}
#[tokio::test]
async fn test_initialize_schema_idempotent() {
let store = test_store().await;
// Second call should succeed without error.
store.initialize_schema().await.unwrap();
store.initialize_schema().await.unwrap();
}
#[tokio::test]
async fn test_get_returns_none_for_missing() {
let store = test_store().await;
let profile = store.get("nonexistent").await.unwrap();
assert!(profile.is_none());
}
#[tokio::test]
async fn test_upsert_and_get() {
let store = test_store().await;
let mut profile = UserProfile::blank("default_user");
profile.industry = Some("healthcare".to_string());
profile.role = Some("admin".to_string());
profile.expertise_level = Some(Level::Intermediate);
profile.communication_style = Some(CommStyle::Concise);
profile.recent_topics = vec!["reporting".to_string(), "compliance".to_string()];
profile.confidence = 0.65;
store.upsert(&profile).await.unwrap();
let loaded = store.get("default_user").await.unwrap().unwrap();
assert_eq!(loaded.user_id, "default_user");
assert_eq!(loaded.industry.as_deref(), Some("healthcare"));
assert_eq!(loaded.role.as_deref(), Some("admin"));
assert_eq!(loaded.expertise_level, Some(Level::Intermediate));
assert_eq!(loaded.communication_style, Some(CommStyle::Concise));
assert_eq!(loaded.recent_topics, vec!["reporting", "compliance"]);
assert!((loaded.confidence - 0.65).abs() < f32::EPSILON);
}
#[tokio::test]
async fn test_upsert_replaces_existing() {
let store = test_store().await;
let mut profile = UserProfile::blank("user1");
profile.industry = Some("tech".to_string());
store.upsert(&profile).await.unwrap();
profile.industry = Some("finance".to_string());
store.upsert(&profile).await.unwrap();
let loaded = store.get("user1").await.unwrap().unwrap();
assert_eq!(loaded.industry.as_deref(), Some("finance"));
}
#[tokio::test]
async fn test_update_field_scalar() {
let store = test_store().await;
let profile = UserProfile::blank("user2");
store.upsert(&profile).await.unwrap();
store
.update_field("user2", "industry", "education")
.await
.unwrap();
store
.update_field("user2", "role", "teacher")
.await
.unwrap();
let loaded = store.get("user2").await.unwrap().unwrap();
assert_eq!(loaded.industry.as_deref(), Some("education"));
assert_eq!(loaded.role.as_deref(), Some("teacher"));
}
#[tokio::test]
async fn test_update_field_confidence() {
let store = test_store().await;
let profile = UserProfile::blank("user3");
store.upsert(&profile).await.unwrap();
store
.update_field("user3", "confidence", "0.88")
.await
.unwrap();
let loaded = store.get("user3").await.unwrap().unwrap();
assert!((loaded.confidence - 0.88).abs() < f32::EPSILON);
}
#[tokio::test]
async fn test_update_field_rejects_unknown() {
let store = test_store().await;
let result = store.update_field("user", "evil_column", "oops").await;
assert!(result.is_err());
}
#[tokio::test]
async fn test_add_recent_topic_auto_creates_profile() {
let store = test_store().await;
// No profile exists yet.
store
.add_recent_topic("new_user", "data analysis", 5)
.await
.unwrap();
let loaded = store.get("new_user").await.unwrap().unwrap();
assert_eq!(loaded.recent_topics, vec!["data analysis"]);
}
#[tokio::test]
async fn test_add_recent_topic_dedup_and_trim() {
let store = test_store().await;
let profile = UserProfile::blank("user");
store.upsert(&profile).await.unwrap();
store.add_recent_topic("user", "topic_a", 3).await.unwrap();
store.add_recent_topic("user", "topic_b", 3).await.unwrap();
store.add_recent_topic("user", "topic_c", 3).await.unwrap();
// Duplicate — should move to front, not add.
store.add_recent_topic("user", "topic_a", 3).await.unwrap();
let loaded = store.get("user").await.unwrap().unwrap();
assert_eq!(
loaded.recent_topics,
vec!["topic_a", "topic_c", "topic_b"]
);
}
#[tokio::test]
async fn test_add_pain_point_trim() {
let store = test_store().await;
for i in 0..5 {
store
.add_pain_point("user", &format!("pain_{}", i), 3)
.await
.unwrap();
}
let loaded = store.get("user").await.unwrap().unwrap();
assert_eq!(loaded.active_pain_points.len(), 3);
// Most recent first.
assert_eq!(loaded.active_pain_points[0], "pain_4");
}
#[tokio::test]
async fn test_add_preferred_tool_trim() {
let store = test_store().await;
store
.add_preferred_tool("user", "python", 5)
.await
.unwrap();
store
.add_preferred_tool("user", "rust", 5)
.await
.unwrap();
// Duplicate — moved to front.
store
.add_preferred_tool("user", "python", 5)
.await
.unwrap();
let loaded = store.get("user").await.unwrap().unwrap();
assert_eq!(loaded.preferred_tools, vec!["python", "rust"]);
}
#[test]
fn test_level_round_trip() {
for level in [Level::Beginner, Level::Intermediate, Level::Expert] {
assert_eq!(Level::from_str_lossy(level.as_str()), Some(level));
}
assert_eq!(Level::from_str_lossy("unknown"), None);
}
#[test]
fn test_comm_style_round_trip() {
for style in [
CommStyle::Concise,
CommStyle::Detailed,
CommStyle::Formal,
CommStyle::Casual,
] {
assert_eq!(CommStyle::from_str_lossy(style.as_str()), Some(style));
}
assert_eq!(CommStyle::from_str_lossy("unknown"), None);
}
#[test]
fn test_profile_serialization() {
let mut p = UserProfile::blank("test_user");
p.industry = Some("logistics".into());
p.expertise_level = Some(Level::Expert);
p.communication_style = Some(CommStyle::Detailed);
p.recent_topics = vec!["exports".into(), "customs".into()];
let json = serde_json::to_string(&p).unwrap();
let decoded: UserProfile = serde_json::from_str(&json).unwrap();
assert_eq!(decoded.user_id, "test_user");
assert_eq!(decoded.industry.as_deref(), Some("logistics"));
assert_eq!(decoded.expertise_level, Some(Level::Expert));
assert_eq!(decoded.communication_style, Some(CommStyle::Detailed));
assert_eq!(decoded.recent_topics, vec!["exports", "customs"]);
}
}

View File

@@ -17,6 +17,7 @@ pub mod growth;
pub mod compaction;
pub mod middleware;
pub mod prompt;
pub mod nl_schedule;
// Re-export main types
pub use driver::{

View File

@@ -278,3 +278,4 @@ pub mod title;
pub mod token_calibration;
pub mod tool_error;
pub mod tool_output_guard;
pub mod trajectory_recorder;

View File

@@ -0,0 +1,231 @@
//! Trajectory Recorder Middleware — records tool-call chains for analysis.
//!
//! Priority 650 (telemetry range: after business middleware at 400-599,
//! before token_calibration at 700). Records events asynchronously via
//! `tokio::spawn` so the main conversation flow is never blocked.
use async_trait::async_trait;
use std::sync::Arc;
use std::sync::atomic::{AtomicU64, Ordering};
use tokio::sync::RwLock;
use zclaw_memory::trajectory_store::{
TrajectoryEvent, TrajectoryStepType, TrajectoryStore,
};
use zclaw_types::{Result, SessionId};
use crate::driver::ContentBlock;
use crate::middleware::{AgentMiddleware, MiddlewareContext, MiddlewareDecision};
// ---------------------------------------------------------------------------
// Step counter per session
// ---------------------------------------------------------------------------
/// Tracks step indices per session so events are ordered correctly.
struct StepCounter {
counters: RwLock<Vec<(String, Arc<AtomicU64>)>>,
}
impl StepCounter {
fn new() -> Self {
Self {
counters: RwLock::new(Vec::new()),
}
}
async fn next(&self, session_id: &str) -> usize {
let map = self.counters.read().await;
for (sid, counter) in map.iter() {
if sid == session_id {
return counter.fetch_add(1, Ordering::Relaxed) as usize;
}
}
drop(map);
let mut map = self.counters.write().await;
// Double-check after acquiring write lock
for (sid, counter) in map.iter() {
if sid == session_id {
return counter.fetch_add(1, Ordering::Relaxed) as usize;
}
}
let counter = Arc::new(AtomicU64::new(1));
map.push((session_id.to_string(), counter.clone()));
0
}
}
// ---------------------------------------------------------------------------
// TrajectoryRecorderMiddleware
// ---------------------------------------------------------------------------
/// Middleware that records agent loop events into `TrajectoryStore`.
///
/// Hooks:
/// - `before_completion` → records UserRequest step
/// - `after_tool_call` → records ToolExecution step
/// - `after_completion` → records LlmGeneration step
pub struct TrajectoryRecorderMiddleware {
store: Arc<TrajectoryStore>,
step_counter: StepCounter,
}
impl TrajectoryRecorderMiddleware {
pub fn new(store: Arc<TrajectoryStore>) -> Self {
Self {
store,
step_counter: StepCounter::new(),
}
}
/// Spawn an async write — fire-and-forget, non-blocking.
fn spawn_write(&self, event: TrajectoryEvent) {
let store = self.store.clone();
tokio::spawn(async move {
if let Err(e) = store.insert_event(&event).await {
tracing::warn!(
"[TrajectoryRecorder] Async write failed (non-fatal): {}",
e
);
}
});
}
fn truncate(s: &str, max: usize) -> String {
if s.len() <= max {
s.to_string()
} else {
s.chars().take(max).collect::<String>() + ""
}
}
}
#[async_trait]
impl AgentMiddleware for TrajectoryRecorderMiddleware {
fn name(&self) -> &str {
"trajectory_recorder"
}
fn priority(&self) -> i32 {
650
}
async fn before_completion(
&self,
ctx: &mut MiddlewareContext,
) -> Result<MiddlewareDecision> {
if ctx.user_input.is_empty() {
return Ok(MiddlewareDecision::Continue);
}
let step = self.step_counter.next(&ctx.session_id.to_string()).await;
let event = TrajectoryEvent {
id: uuid::Uuid::new_v4().to_string(),
session_id: ctx.session_id.to_string(),
agent_id: ctx.agent_id.to_string(),
step_index: step,
step_type: TrajectoryStepType::UserRequest,
input_summary: Self::truncate(&ctx.user_input, 200),
output_summary: String::new(),
duration_ms: 0,
timestamp: chrono::Utc::now(),
};
self.spawn_write(event);
Ok(MiddlewareDecision::Continue)
}
async fn after_tool_call(
&self,
ctx: &mut MiddlewareContext,
tool_name: &str,
result: &serde_json::Value,
) -> Result<()> {
let step = self.step_counter.next(&ctx.session_id.to_string()).await;
let result_summary = match result {
serde_json::Value::String(s) => Self::truncate(s, 200),
serde_json::Value::Object(_) => {
let s = serde_json::to_string(result).unwrap_or_default();
Self::truncate(&s, 200)
}
other => Self::truncate(&other.to_string(), 200),
};
let event = TrajectoryEvent {
id: uuid::Uuid::new_v4().to_string(),
session_id: ctx.session_id.to_string(),
agent_id: ctx.agent_id.to_string(),
step_index: step,
step_type: TrajectoryStepType::ToolExecution,
input_summary: Self::truncate(tool_name, 200),
output_summary: result_summary,
duration_ms: 0,
timestamp: chrono::Utc::now(),
};
self.spawn_write(event);
Ok(())
}
async fn after_completion(&self, ctx: &MiddlewareContext) -> Result<()> {
let step = self.step_counter.next(&ctx.session_id.to_string()).await;
let output_summary = ctx.response_content.iter()
.filter_map(|b| match b {
ContentBlock::Text { text } => Some(text.as_str()),
_ => None,
})
.collect::<Vec<_>>()
.join(" ");
let event = TrajectoryEvent {
id: uuid::Uuid::new_v4().to_string(),
session_id: ctx.session_id.to_string(),
agent_id: ctx.agent_id.to_string(),
step_index: step,
step_type: TrajectoryStepType::LlmGeneration,
input_summary: String::new(),
output_summary: Self::truncate(&output_summary, 200),
duration_ms: 0,
timestamp: chrono::Utc::now(),
};
self.spawn_write(event);
Ok(())
}
}
// ---------------------------------------------------------------------------
// Tests
// ---------------------------------------------------------------------------
#[cfg(test)]
mod tests {
use super::*;
#[tokio::test]
async fn test_step_counter_sequential() {
let counter = StepCounter::new();
assert_eq!(counter.next("sess-1").await, 0);
assert_eq!(counter.next("sess-1").await, 1);
assert_eq!(counter.next("sess-1").await, 2);
}
#[tokio::test]
async fn test_step_counter_different_sessions() {
let counter = StepCounter::new();
assert_eq!(counter.next("sess-1").await, 0);
assert_eq!(counter.next("sess-2").await, 0);
assert_eq!(counter.next("sess-1").await, 1);
assert_eq!(counter.next("sess-2").await, 1);
}
#[test]
fn test_truncate_short() {
assert_eq!(TrajectoryRecorderMiddleware::truncate("hello", 10), "hello");
}
#[test]
fn test_truncate_long() {
let long: String = "".repeat(300);
let truncated = TrajectoryRecorderMiddleware::truncate(&long, 200);
assert!(truncated.chars().count() <= 201); // 200 + …
}
}

View File

@@ -0,0 +1,593 @@
//! Natural Language Schedule Parser — transforms Chinese time expressions into cron.
//!
//! Three-layer fallback strategy:
//! 1. Regex pattern matching (covers ~80% of common expressions)
//! 2. LLM-assisted parsing (for ambiguous/complex expressions) — TODO: wire when Haiku driver available
//! 3. Interactive clarification (return `Unclear`)
//!
//! Lives in `zclaw-runtime` because it's a pure text→cron utility with no kernel dependency.
use chrono::{Datelike, Timelike};
use serde::{Deserialize, Serialize};
use zclaw_types::AgentId;
// ---------------------------------------------------------------------------
// Data structures
// ---------------------------------------------------------------------------
/// Result of parsing a natural language schedule expression.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ParsedSchedule {
/// Cron expression, e.g. "0 9 * * *"
pub cron_expression: String,
/// Human-readable description of the schedule
pub natural_description: String,
/// Confidence of the parse (0.01.0)
pub confidence: f32,
/// What the task does (extracted from user input)
pub task_description: String,
/// What to trigger when the schedule fires
pub task_target: TaskTarget,
}
/// Target to trigger on schedule.
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(tag = "type", content = "id")]
pub enum TaskTarget {
/// Trigger a specific agent
Agent(String),
/// Trigger a specific hand
Hand(String),
/// Trigger a specific workflow
Workflow(String),
/// Generic reminder (no specific target)
Reminder,
}
/// Outcome of NL schedule parsing.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ScheduleParseResult {
/// High-confidence single parse
Exact(ParsedSchedule),
/// Multiple possible interpretations
Ambiguous(Vec<ParsedSchedule>),
/// Unable to parse — needs user clarification
Unclear,
}
// ---------------------------------------------------------------------------
// Regex pattern library
// ---------------------------------------------------------------------------
/// A single pattern for matching Chinese time expressions.
struct SchedulePattern {
/// Regex pattern string
regex: &'static str,
/// Cron template — use {h} for hour, {m} for minute, {dow} for day-of-week, {dom} for day-of-month
cron_template: &'static str,
/// Human description template
description: &'static str,
/// Base confidence for this pattern
confidence: f32,
}
/// Chinese time period keywords → hour mapping
fn period_to_hour(period: &str) -> Option<u32> {
match period {
"凌晨" => Some(0),
"早上" | "早晨" | "上午" => Some(9),
"中午" => Some(12),
"下午" | "午后" => Some(15),
"傍晚" | "黄昏" => Some(18),
"晚上" | "晚间" | "夜里" | "夜晚" => Some(21),
"半夜" | "午夜" => Some(0),
_ => None,
}
}
/// Chinese weekday names → cron day-of-week
fn weekday_to_cron(day: &str) -> Option<&'static str> {
match day {
"" | "周一" | "星期一" | "礼拜一" => Some("1"),
"" | "周二" | "星期二" | "礼拜二" => Some("2"),
"" | "周三" | "星期三" | "礼拜三" => Some("3"),
"" | "周四" | "星期四" | "礼拜四" => Some("4"),
"" | "周五" | "星期五" | "礼拜五" => Some("5"),
"" | "周六" | "星期六" | "礼拜六" => Some("6"),
"" | "周日" | "星期日" | "礼拜日" | "" | "周天" | "星期天" | "礼拜天" => Some("0"),
_ => None,
}
}
// ---------------------------------------------------------------------------
// Parser implementation
// ---------------------------------------------------------------------------
/// Parse a natural language schedule expression into a cron expression.
///
/// Uses a series of regex-based pattern matchers covering common Chinese
/// time expressions. Returns `Unclear` if no pattern matches.
pub fn parse_nl_schedule(input: &str, default_agent_id: &AgentId) -> ScheduleParseResult {
let input = input.trim();
if input.is_empty() {
return ScheduleParseResult::Unclear;
}
// Extract task description (everything after keywords like "提醒我", "帮我")
let task_description = extract_task_description(input);
// --- Pattern 1: 每天 + 时间 ---
if let Some(result) = try_every_day(input, &task_description, default_agent_id) {
return result;
}
// --- Pattern 2: 每周N + 时间 ---
if let Some(result) = try_every_week(input, &task_description, default_agent_id) {
return result;
}
// --- Pattern 3: 工作日 + 时间 ---
if let Some(result) = try_workday(input, &task_description, default_agent_id) {
return result;
}
// --- Pattern 4: 每N小时/分钟 ---
if let Some(result) = try_interval(input, &task_description, default_agent_id) {
return result;
}
// --- Pattern 5: 每月N号 ---
if let Some(result) = try_monthly(input, &task_description, default_agent_id) {
return result;
}
// --- Pattern 6: 明天/后天 + 时间 (one-shot) ---
if let Some(result) = try_one_shot(input, &task_description, default_agent_id) {
return result;
}
ScheduleParseResult::Unclear
}
/// Extract task description from input, stripping schedule-related keywords.
fn extract_task_description(input: &str) -> String {
let strip_prefixes = [
"每天", "每日", "每周", "工作日", "每个工作日",
"每月", "", "定时", "定期",
"提醒我", "提醒", "帮我", "", "",
"明天", "后天", "大后天",
];
let mut desc = input.to_string();
// Strip prefixes + time expressions in alternating passes until stable
let time_re = regex::Regex::new(
r"^(?:凌晨|早上|早晨|上午|中午|下午|午后|傍晚|黄昏|晚上|晚间|夜里|夜晚|半夜|午夜)?\d{1,2}[点时:]\d{0,2}分?"
).unwrap_or_else(|_| regex::Regex::new("").unwrap());
for _ in 0..3 {
// Pass 1: strip prefixes
loop {
let mut stripped = false;
for prefix in &strip_prefixes {
if desc.starts_with(prefix) {
desc = desc[prefix.len()..].to_string();
stripped = true;
}
}
if !stripped { break; }
}
// Pass 2: strip time expressions
let new_desc = time_re.replace(&desc, "").to_string();
if new_desc == desc { break; }
desc = new_desc;
}
desc.trim().to_string()
}
// -- Pattern matchers --
/// Adjust hour based on time-of-day period. Chinese 12-hour convention:
/// 下午3点 = 15, 晚上8点 = 20, etc. Morning hours stay as-is.
fn adjust_hour_for_period(hour: u32, period: Option<&str>) -> u32 {
if let Some(p) = period {
match p {
"下午" | "午后" => { if hour < 12 { hour + 12 } else { hour } }
"晚上" | "晚间" | "夜里" | "夜晚" => { if hour < 12 { hour + 12 } else { hour } }
"傍晚" | "黄昏" => { if hour < 12 { hour + 12 } else { hour } }
"中午" => { if hour == 12 { 12 } else if hour < 12 { hour + 12 } else { hour } }
"半夜" | "午夜" => { if hour == 12 { 0 } else { hour } }
_ => hour,
}
} else {
hour
}
}
const PERIOD_PATTERN: &str = "(凌晨|早上|早晨|上午|中午|下午|午后|傍晚|黄昏|晚上|晚间|夜里|夜晚|半夜|午夜)?";
fn try_every_day(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
let re = regex::Regex::new(
&format!(r"(?:每天|每日)(?:的)?{}(\d{{1,2}})[点时:](\d{{1,2}})?", PERIOD_PATTERN)
).ok()?;
if let Some(caps) = re.captures(input) {
let period = caps.get(1).map(|m| m.as_str());
let raw_hour: u32 = caps.get(2)?.as_str().parse().ok()?;
let minute: u32 = caps.get(3).map(|m| m.as_str().parse().unwrap_or(0)).unwrap_or(0);
let hour = adjust_hour_for_period(raw_hour, period);
if hour > 23 || minute > 59 {
return None;
}
return Some(ScheduleParseResult::Exact(ParsedSchedule {
cron_expression: format!("{} {} * * *", minute, hour),
natural_description: format!("每天{:02}:{:02}", hour, minute),
confidence: 0.95,
task_description: task_desc.to_string(),
task_target: TaskTarget::Agent(agent_id.to_string()),
}));
}
// "每天早上/下午..." without explicit hour
let re2 = regex::Regex::new(r"(?:每天|每日)(?:的)?(凌晨|早上|早晨|上午|中午|下午|午后|傍晚|黄昏|晚上|晚间|夜里|夜晚|半夜|午夜)").ok()?;
if let Some(caps) = re2.captures(input) {
let period = caps.get(1)?.as_str();
if let Some(hour) = period_to_hour(period) {
return Some(ScheduleParseResult::Exact(ParsedSchedule {
cron_expression: format!("0 {} * * *", hour),
natural_description: format!("每天{}", period),
confidence: 0.85,
task_description: task_desc.to_string(),
task_target: TaskTarget::Agent(agent_id.to_string()),
}));
}
}
None
}
fn try_every_week(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
let re = regex::Regex::new(
&format!(r"(?:每周|每个?星期|每个?礼拜)(一|二|三|四|五|六|日|天|周一|周二|周三|周四|周五|周六|周日|周天|星期一|星期二|星期三|星期四|星期五|星期六|星期日|星期天|礼拜一|礼拜二|礼拜三|礼拜四|礼拜五|礼拜六|礼拜日|礼拜天)(?:的)?{}(\d{{1,2}})[点时:](\d{{1,2}})?", PERIOD_PATTERN)
).ok()?;
let caps = re.captures(input)?;
let day_str = caps.get(1)?.as_str();
let dow = weekday_to_cron(day_str)?;
let period = caps.get(2).map(|m| m.as_str());
let raw_hour: u32 = caps.get(3)?.as_str().parse().ok()?;
let minute: u32 = caps.get(4).map(|m| m.as_str().parse().unwrap_or(0)).unwrap_or(0);
let hour = adjust_hour_for_period(raw_hour, period);
if hour > 23 || minute > 59 {
return None;
}
Some(ScheduleParseResult::Exact(ParsedSchedule {
cron_expression: format!("{} {} * * {}", minute, hour, dow),
natural_description: format!("每周{} {:02}:{:02}", day_str, hour, minute),
confidence: 0.92,
task_description: task_desc.to_string(),
task_target: TaskTarget::Agent(agent_id.to_string()),
}))
}
fn try_workday(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
let re = regex::Regex::new(
&format!(r"(?:工作日|每个?工作日|工作日(?:的)?){}(\d{{1,2}})[点时:](\d{{1,2}})?", PERIOD_PATTERN)
).ok()?;
if let Some(caps) = re.captures(input) {
let period = caps.get(1).map(|m| m.as_str());
let raw_hour: u32 = caps.get(2)?.as_str().parse().ok()?;
let minute: u32 = caps.get(3).map(|m| m.as_str().parse().unwrap_or(0)).unwrap_or(0);
let hour = adjust_hour_for_period(raw_hour, period);
if hour > 23 || minute > 59 {
return None;
}
return Some(ScheduleParseResult::Exact(ParsedSchedule {
cron_expression: format!("{} {} * * 1-5", minute, hour),
natural_description: format!("工作日{:02}:{:02}", hour, minute),
confidence: 0.90,
task_description: task_desc.to_string(),
task_target: TaskTarget::Agent(agent_id.to_string()),
}));
}
// "工作日下午3点" style
let re2 = regex::Regex::new(
r"(?:工作日|每个?工作日)(?:的)?(凌晨|早上|早晨|上午|中午|下午|午后|傍晚|黄昏|晚上|晚间|夜里|夜晚|半夜|午夜)"
).ok()?;
if let Some(caps) = re2.captures(input) {
let period = caps.get(1)?.as_str();
if let Some(hour) = period_to_hour(period) {
return Some(ScheduleParseResult::Exact(ParsedSchedule {
cron_expression: format!("0 {} * * 1-5", hour),
natural_description: format!("工作日{}", period),
confidence: 0.85,
task_description: task_desc.to_string(),
task_target: TaskTarget::Agent(agent_id.to_string()),
}));
}
}
None
}
fn try_interval(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
// "每2小时", "每30分钟", "每N小时/分钟"
let re = regex::Regex::new(r"每(\d{1,2})(小时|分钟|分|钟|个小时)").ok()?;
if let Some(caps) = re.captures(input) {
let n: u32 = caps.get(1)?.as_str().parse().ok()?;
if n == 0 {
return None;
}
let unit = caps.get(2)?.as_str();
let (cron, desc) = if unit.contains("") {
(format!("0 */{} * * *", n), format!("{}小时", n))
} else {
(format!("*/{} * * * *", n), format!("{}分钟", n))
};
return Some(ScheduleParseResult::Exact(ParsedSchedule {
cron_expression: cron,
natural_description: desc,
confidence: 0.90,
task_description: task_desc.to_string(),
task_target: TaskTarget::Agent(agent_id.to_string()),
}));
}
None
}
fn try_monthly(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
let re = regex::Regex::new(
&format!(r"(?:每月|每个月)(?:的)?(\d{{1,2}})[号日](?:的)?{}(\d{{1,2}})?[点时:]?(\d{{1,2}})?", PERIOD_PATTERN)
).ok()?;
if let Some(caps) = re.captures(input) {
let day: u32 = caps.get(1)?.as_str().parse().ok()?;
let period = caps.get(2).map(|m| m.as_str());
let raw_hour: u32 = caps.get(3).map(|m| m.as_str().parse().unwrap_or(9)).unwrap_or(9);
let minute: u32 = caps.get(4).map(|m| m.as_str().parse().unwrap_or(0)).unwrap_or(0);
let hour = adjust_hour_for_period(raw_hour, period);
if day > 31 || hour > 23 || minute > 59 {
return None;
}
return Some(ScheduleParseResult::Exact(ParsedSchedule {
cron_expression: format!("{} {} {} * *", minute, hour, day),
natural_description: format!("每月{}号 {:02}:{:02}", day, hour, minute),
confidence: 0.90,
task_description: task_desc.to_string(),
task_target: TaskTarget::Agent(agent_id.to_string()),
}));
}
None
}
fn try_one_shot(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
let re = regex::Regex::new(
&format!(r"(明天|后天|大后天)(?:的)?{}(\d{{1,2}})[点时:](\d{{1,2}})?", PERIOD_PATTERN)
).ok()?;
let caps = re.captures(input)?;
let day_offset = match caps.get(1)?.as_str() {
"明天" => 1,
"后天" => 2,
"大后天" => 3,
_ => return None,
};
let period = caps.get(2).map(|m| m.as_str());
let raw_hour: u32 = caps.get(3)?.as_str().parse().ok()?;
let minute: u32 = caps.get(4).map(|m| m.as_str().parse().unwrap_or(0)).unwrap_or(0);
let hour = adjust_hour_for_period(raw_hour, period);
if hour > 23 || minute > 59 {
return None;
}
let target = chrono::Utc::now()
.checked_add_signed(chrono::Duration::days(day_offset))
.unwrap_or_else(chrono::Utc::now)
.with_hour(hour)
.unwrap_or_else(|| chrono::Utc::now())
.with_minute(minute)
.unwrap_or_else(|| chrono::Utc::now())
.with_second(0)
.unwrap_or_else(|| chrono::Utc::now());
Some(ScheduleParseResult::Exact(ParsedSchedule {
cron_expression: target.to_rfc3339(),
natural_description: format!("{} {:02}:{:02}", caps.get(1)?.as_str(), hour, minute),
confidence: 0.88,
task_description: task_desc.to_string(),
task_target: TaskTarget::Agent(agent_id.to_string()),
}))
}
// ---------------------------------------------------------------------------
// Schedule intent detection
// ---------------------------------------------------------------------------
/// Keywords indicating the user wants to set a scheduled task.
const SCHEDULE_INTENT_KEYWORDS: &[&str] = &[
"提醒我", "提醒", "定时", "每天", "每日", "每周", "每月",
"工作日", "每隔", "", "定期", "到时候", "准时",
"闹钟", "闹铃", "日程", "日历",
];
/// Check if user input contains schedule intent.
pub fn has_schedule_intent(input: &str) -> bool {
let lower = input.to_lowercase();
SCHEDULE_INTENT_KEYWORDS.iter().any(|kw| lower.contains(kw))
}
// ---------------------------------------------------------------------------
// Tests
// ---------------------------------------------------------------------------
#[cfg(test)]
mod tests {
use super::*;
fn default_agent() -> AgentId {
AgentId::new()
}
#[test]
fn test_every_day_explicit_time() {
let result = parse_nl_schedule("每天早上9点提醒我查房", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "0 9 * * *");
assert!(s.confidence >= 0.9);
}
_ => panic!("Expected Exact, got {:?}", result),
}
}
#[test]
fn test_every_day_with_minute() {
let result = parse_nl_schedule("每天下午3点30分提醒我", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "30 15 * * *");
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_every_day_period_only() {
let result = parse_nl_schedule("每天早上提醒我看看报告", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "0 9 * * *");
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_every_week_monday() {
let result = parse_nl_schedule("每周一上午10点提醒我开会", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "0 10 * * 1");
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_every_week_friday() {
let result = parse_nl_schedule("每个星期五下午2点", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "0 14 * * 5");
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_workday() {
let result = parse_nl_schedule("工作日下午3点提醒我写周报", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "0 15 * * 1-5");
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_interval_hours() {
let result = parse_nl_schedule("每2小时提醒我喝水", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "0 */2 * * *");
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_interval_minutes() {
let result = parse_nl_schedule("每30分钟检查一次", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "*/30 * * * *");
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_monthly() {
let result = parse_nl_schedule("每月1号早上9点提醒我", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "0 9 1 * *");
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_one_shot_tomorrow() {
let result = parse_nl_schedule("明天下午3点提醒我开会", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert!(s.cron_expression.contains('T'));
assert!(s.natural_description.contains("明天"));
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_unclear_input() {
let result = parse_nl_schedule("今天天气怎么样", &default_agent());
assert!(matches!(result, ScheduleParseResult::Unclear));
}
#[test]
fn test_empty_input() {
let result = parse_nl_schedule("", &default_agent());
assert!(matches!(result, ScheduleParseResult::Unclear));
}
#[test]
fn test_schedule_intent_detection() {
assert!(has_schedule_intent("每天早上9点提醒我查房"));
assert!(has_schedule_intent("帮我设个定时任务"));
assert!(has_schedule_intent("工作日提醒我打卡"));
assert!(!has_schedule_intent("今天天气怎么样"));
assert!(!has_schedule_intent("帮我写个报告"));
}
#[test]
fn test_period_to_hour_mapping() {
assert_eq!(period_to_hour("凌晨"), Some(0));
assert_eq!(period_to_hour("早上"), Some(9));
assert_eq!(period_to_hour("中午"), Some(12));
assert_eq!(period_to_hour("下午"), Some(15));
assert_eq!(period_to_hour("晚上"), Some(21));
assert_eq!(period_to_hour("不知道"), None);
}
#[test]
fn test_weekday_to_cron_mapping() {
assert_eq!(weekday_to_cron(""), Some("1"));
assert_eq!(weekday_to_cron(""), Some("5"));
assert_eq!(weekday_to_cron(""), Some("0"));
assert_eq!(weekday_to_cron("星期三"), Some("3"));
assert_eq!(weekday_to_cron("礼拜天"), Some("0"));
assert_eq!(weekday_to_cron("未知"), None);
}
#[test]
fn test_task_description_extraction() {
assert_eq!(extract_task_description("每天早上9点提醒我查房"), "查房");
}
}