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