fix: create ADR-012 agent tables migration + fix telegram_models import

Migration 017:
- CREATE TABLE IF NOT EXISTS agent_context, action_plans, action_outcomes,
  agent_strategy_weights (all four ADR-012 tables were missing from production DB)
- These tables are required by ElephantAlpha AutonomousEngine coordination loop

telegram_templates.py:
- Fix: from database.telegram_models → database.trend_models (TelegramUser
  has always lived in trend_models; telegram_models module does not exist)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

migrations/017_adr012_agent_tables.sql

@@ -0,0 +1,64 @@
+-- Migration 017: Create ADR-012 Agent Action Ladder tables
+-- Tables: agent_context, action_plans, action_outcomes, agent_strategy_weights
+-- These are the core multi-agent shared-context and closed-loop learning tables.
+-- Author: Antigravity / ADR-012
+
+-- 1. Agent shared context (TTL-aware, cross-agent access)
+CREATE TABLE IF NOT EXISTS agent_context (
+    id              SERIAL PRIMARY KEY,
+    session_id      VARCHAR(64)  NOT NULL,
+    agent_name      VARCHAR(50)  NOT NULL,
+    context_key     VARCHAR(100) NOT NULL,
+    context_val     TEXT,
+    created_at      TIMESTAMP    DEFAULT NOW(),
+    ttl_minutes     INTEGER      DEFAULT 60
+);
+CREATE INDEX IF NOT EXISTS idx_agent_context_session_key
+    ON agent_context (session_id, agent_name, context_key);
+CREATE INDEX IF NOT EXISTS idx_agent_context_session_ttl
+    ON agent_context (session_id, created_at);
+
+-- 2. Action plans (NemoTron output, pending review & execution tracking)
+CREATE TABLE IF NOT EXISTS action_plans (
+    id          SERIAL PRIMARY KEY,
+    session_id  VARCHAR(64),
+    plan_type   VARCHAR(50),       -- price_adjust / restock / campaign
+    sku         VARCHAR(100),
+    payload     TEXT,              -- JSON action payload
+    status      VARCHAR(20)  DEFAULT 'pending',  -- pending/approved/rejected/executed
+    created_by  VARCHAR(50),       -- nemotron / openclaw
+    approved_by VARCHAR(100),      -- Telegram user_id
+    created_at  TIMESTAMP    DEFAULT NOW(),
+    executed_at TIMESTAMP
+);
+CREATE INDEX IF NOT EXISTS idx_action_plan_sku_status ON action_plans (sku, status);
+CREATE INDEX IF NOT EXISTS idx_action_plan_created    ON action_plans (created_at);
+
+-- 3. Action outcomes (closed-loop learning core)
+CREATE TABLE IF NOT EXISTS action_outcomes (
+    id          SERIAL PRIMARY KEY,
+    plan_id     INTEGER      NOT NULL REFERENCES action_plans(id),
+    metric_type VARCHAR(50),       -- sales_7d / price_rank / conversion
+    before_val  FLOAT,
+    after_val   FLOAT,
+    measured_at TIMESTAMP,
+    verdict     VARCHAR(20),       -- effective / neutral / backfired
+    created_at  TIMESTAMP    DEFAULT NOW()
+);
+CREATE INDEX IF NOT EXISTS idx_action_outcome_plan ON action_outcomes (plan_id);
+
+-- 4. Agent strategy weights (OpenClaw learning accumulation)
+CREATE TABLE IF NOT EXISTS agent_strategy_weights (
+    id           SERIAL PRIMARY KEY,
+    strategy_key VARCHAR(100) UNIQUE NOT NULL,  -- e.g. price_cut_when_gap_gt_5pct
+    weight       FLOAT        DEFAULT 1.0,
+    success_cnt  INTEGER      DEFAULT 0,
+    fail_cnt     INTEGER      DEFAULT 0,
+    updated_at   TIMESTAMP    DEFAULT NOW()
+);
+CREATE INDEX IF NOT EXISTS idx_strategy_key ON agent_strategy_weights (strategy_key);
+
+DO $$
+BEGIN
+    RAISE NOTICE 'Migration 017 done: agent_context / action_plans / action_outcomes / agent_strategy_weights';
+END $$;

services/telegram_templates.py

@@ -3,7 +3,7 @@ import logging
 from typing import Any, Dict, Optional
 
 from database.manager import get_session
-from database.telegram_models import TelegramUser
+from database.trend_models import TelegramUser
 
 sys_log = logging.getLogger("TelegramTpl")