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ewoooc/services/telegram_templates.py
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feat: integrate Elephant Alpha ecosystem with full ADR-012/013 compliance
- Add ElephantService, AutonomousEngine, Orchestrator, DecisionRouter (EA 4-file stack)
- Fix 10 bugs: URL typo, SQL schema mismatches (price_records JOIN), enum mapping,
  metadata_json, NemoTron PriceThreat dispatch, async/await mismatch, broken imports
- Wire ADR-012 Agent Action Ladder: EventRouter L2 → EA first + AIOrch fallback;
  all decisions dual-write DB + triaged_alert Telegram; momo: callback prefix
- Wire ADR-013 AutoHeal: resource_optimization trigger → AutoHealService
- Add W3 guards: connection cache 300s TTL, $5/hr cost hard limit
- Add W4 persistence: routing decisions + agent performance snapshots → ai_insights
- Add Migration 015: confidence + created_by columns on ai_insights
- Fix run_scheduler.py broken imports (DecisionTracker service didn't exist)
- Fix verify_elephant_integration.py: check_status() → check_connection()

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-20 04:28:26 +08:00

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import json
import logging
from typing import Any, Dict, Optional
from database.manager import get_session
from database.telegram_models import TelegramUser
sys_log = logging.getLogger("TelegramTpl")
# ─── 常數 ────────────────────────────────────────────────
TELEGRAM_BOT_TOKEN_ENV = "TELEGRAM_BOT_TOKEN"
TELEGRAM_CHAT_IDS_ENV = "TELEGRAM_CHAT_IDS"
# ─── 工具:取得 Token 與 Chat ID容錯 ─────────────────
def _get_bot_token() -> Optional[str]:
from dotenv import load_dotenv
load_dotenv()
import os
return os.getenv(TELEGRAM_BOT_TOKEN_ENV)
def _get_chat_ids() -> list:
token = _get_bot_token()
if not token:
sys_log.warning("[TelegramTpl] %s 未設定,跳過 Telegram 通知", TELEGRAM_BOT_TOKEN_ENV)
return []
raw = __import__("os").getenv(TELEGRAM_CHAT_IDS_ENV, "[]")
try:
return json.loads(raw)
except json.JSONDecodeError:
sys_log.warning("[TelegramTpl] %s 格式錯誤,應為 JSON 陣列", TELEGRAM_CHAT_IDS_ENV)
return []
# ─── 原始發送(內部使用) ─────────────────────────────────
def _send_telegram_raw(text: str, chat_ids: Optional[list] = None,
reply_markup: Optional[Dict[str, Any]] = None,
parse_mode: str = "HTML") -> bool:
import requests
token = _get_bot_token()
if not token:
return False
if chat_ids is None:
chat_ids = _get_chat_ids()
if not chat_ids:
chat_ids = [-1003940688311] # fallback
url = f"https://api.telegram.org/bot{token}/sendMessage"
payload = {
"chat_id": chat_ids[0],
"text": text,
"parse_mode": parse_mode,
}
if reply_markup:
payload["reply_markup"] = json.dumps(reply_markup, ensure_ascii=False)
try:
r = requests.post(url, json=payload, timeout=10)
if not r.ok:
sys_log.warning("[TelegramTpl] sendMessage HTTP %s: %s", r.status_code, r.text[:200])
return False
return True
except Exception as e:
sys_log.error("[TelegramTpl] send 失敗: %s", e)
return False
# ─── 公用模板 ─────────────────────────────────────────────
def alert(title: str, content: str, actions: Optional[list] = None) -> str:
"""高危險警報(紅色)"""
msg = f"<b>🚨 {title}</b>\n\n{content}"
if actions:
msg += "\n\n" + "\n".join(f"{a}" for a in actions)
return msg
def warning(title: str, summary: str, details: Optional[dict] = None) -> str:
"""中風險警告(橙色)"""
msg = f"<b>⚠️ {title}</b>\n\n{summary}"
if details:
msg += "\n\n<b>細節:</b>\n" + "\n".join(f"{k}: {v}" for k, v in details.items())
return msg
def info(title: str, module: str, content: str, time: Optional[Any] = None) -> str:
"""普通信息(藍色)"""
t_str = f" · {time}" if time else ""
return f"<b>📊 {title}</b> [{module}]{t_str}\n\n{content}"
def success(title: str, module: str, stats: str = "") -> str:
"""成功通知(綠色)"""
return f"<b>✅ {title}</b> [{module}]\n{stats}"
def price_decision(
product_name: str,
product_sku: str,
current_price: float,
suggested_price: float,
reason: str,
insight_id: Optional[int] = None,
) -> tuple:
"""
降價決策通知(含 Inline Keyboard
回傳 (message_text, reply_markup)
"""
diff = current_price - suggested_price
if diff > 0:
action_text = f"降價 ${diff:,.0f}"
elif diff < 0:
action_text = f"提價 ${-diff:,.0f}"
else:
action_text = "維持"
message = (
f"<b>💰 自動降價建議</b>\n"
f"商品:{product_name} (SKU: {product_sku})\n"
f"現價:${current_price:,.0f} → 建議:${suggested_price:,.0f}\n"
f"原因:{reason}\n"
)
if insight_id:
message += f"洞察 ID{insight_id}\n"
keyboard = {
"inline_keyboard": [
[
{"text": "✅ 確認執行", "callback_data": f"price_decision:approve:{product_sku}"},
{"text": "❌ 拒絕", "callback_data": f"price_decision:reject:{product_sku}"},
],
[
{"text": "📊 查看洞察", "url": f"https://your-dashboard.example/insight/{insight_id}" if insight_id else "#"},
],
]
}
return message, keyboard
def triaged_alert(
base_event: Dict[str, Any],
tier_label: str,
ai_summary: str,
ai_cause: Optional[str] = None,
ai_actions: Optional[list] = None,
ai_executed: Optional[list] = None,
) -> str:
"""
L1/L2 整合通知(帶 AI 摘要與可執行動作)。
"""
msg = (
f"<b>⚡ {tier_label} · {base_event.get('event_type', 'alert')}</b>\n"
f"📌 <code>{base_event.get('title')}</code>\n\n"
)
summary = base_event.get("summary", "")
if summary:
msg += f"🔍 概要:{summary}\n\n"
if ai_summary:
msg += f"🧠 AI 摘要:{ai_summary}\n\n"
if ai_cause:
msg += f"💡 可能原因:{ai_cause}\n\n"
if ai_actions:
msg += "<b>📋 建議行動:</b>\n" + "\n".join(f"{a}" for a in ai_actions) + "\n\n"
if ai_executed:
msg += "<b>✅ 已執行:</b>\n" + "\n".join(f"{a}" for a in ai_executed) + "\n\n"
trace = base_event.get("trace")
if trace:
msg += f"<pre>{trace[-500:]}</pre>"
# W2-D: momo: prefix 強制(共用 Bot 鐵律ADR-011
event_id = base_event.get("id", "unknown")
keyboard = {
"inline_keyboard": [
[{"text": "📊 查看详情", "url": f"https://dashboard.example/event/{event_id}"}],
[{"text": "🛑 忽略此事件", "callback_data": f"momo:event_ignore:{event_id}"}],
]
}
return msg, keyboard
def report(title: str, report_type: str, period: str, content_md: str) -> str:
"""策略/週報模板"""
return (
f"<b>📊 {title}</b> ({report_type})\n"
f"期間:{period}\n\n"
f"{content_md}"
)
def success(title: str, module: str, stats: str = "") -> str:
"""成功通知(綠色)"""
return f"<b>✅ {title}</b> [{module}]\n{stats}"
def _send_telegram(msg: str, chat_ids: Optional[list] = None,
reply_markup: Optional[Dict[str, Any]] = None) -> bool:
return _send_telegram_raw(msg, chat_ids=chat_ids, reply_markup=reply_markup)