fix: ElephantAlpha crash, AiderHeal Ollama host, MCP integration for Hermes/NemoTron, and MCP hallucination
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@@ -42,8 +42,8 @@ HEALTH_CHECK_URL: str = (
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os.getenv("MOMO_BASE_URL", "https://mo.wooo.work").rstrip("/") + "/health"
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)
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OLLAMA_API_BASE: str = os.getenv("OLLAMA_API_BASE", "http://192.168.0.188:11434")
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AIDER_MODEL: str = os.getenv("AIDER_MODEL", "ollama/qwen3-coder-next")
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OLLAMA_API_BASE: str = os.getenv("OLLAMA_API_BASE", "http://192.168.0.111:11434")
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AIDER_MODEL: str = os.getenv("AIDER_MODEL", "ollama/qwen2.5-coder:7b")
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MAX_DIFF_LINES: int = int(os.getenv("AIDER_MAX_DIFF_LINES", "50"))
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MAX_HOURLY_FIX: int = int(os.getenv("AIDER_MAX_HOURLY_FIX", "5"))
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@@ -739,9 +739,12 @@ class ElephantAlphaAutonomousEngine:
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elif load < 50 and q < 5:
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self.max_autonomous_decisions_per_hour = 15
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# Singleton instance
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autonomous_engine = ElephantAlphaAutonomousEngine()
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__all__ = [
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"ElephantAlphaAutonomousEngine",
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"autonomous_engine",
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"AutonomousTrigger",
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"DecisionType",
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"DecisionOutcome",
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@@ -22,6 +22,7 @@ from typing import Optional
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import requests
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from sqlalchemy import text
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from services.mcp_context_service import build_mcp_context
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logger = logging.getLogger(__name__)
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@@ -382,7 +383,10 @@ class HermesAnalystService:
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if not items:
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return [], []
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mcp_ctx = build_mcp_context(topics=["market_trends", "holiday_calendar", "seasonal_insights"])
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prompt = (
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f"【市場外部情報 (MCP)】\n{mcp_ctx}\n\n"
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f"分析以下 {len(items)} 支商品的競價威脅,回傳前 {TOP_N} 個最高風險商品。\n\n"
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f"資料:{json.dumps(items, ensure_ascii=False)}\n\n"
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f"輸出格式(JSON 陣列,每筆含):\n"
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@@ -33,19 +33,19 @@ MCP_MODEL = os.getenv("MCP_GEMINI_MODEL", "gemini-2.5-flash-preview-05-20")
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# ── 查詢主題定義 ────────────────────────────────────────────────────────────
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_SEARCH_TOPICS = {
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"market_trends": (
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"台灣電商 momo購物網 2025年熱銷商品趨勢 消費者行為 美妝保養 家電 生活用品"
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"台灣電商 momo購物網 2026年熱銷商品趨勢 消費者行為 美妝保養 家電 生活用品"
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),
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"holiday_calendar": (
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"2025年台灣重要節日促銷行事曆 母親節 618購物節 雙11 雙12 中秋 跨年 電商大促"
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"2026年台灣重要節日促銷行事曆 母親節 618購物節 雙11 雙12 中秋 跨年 電商大促"
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),
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"seasonal_insights": (
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"台灣電商季節性銷售趨勢 換季商品 夏季防曬 冬季保暖 Q3 Q4 消費高峰"
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),
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"competitor_intel": (
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"momo購物網 PChome 蝦皮 Yahoo購物 2025年競爭策略 促銷活動 物流比較"
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"momo購物網 PChome 蝦皮 Yahoo購物 2026年競爭策略 促銷活動 物流比較"
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),
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"consumer_sentiment": (
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"台灣消費者 2025 購物偏好 低價高CP 品牌忠誠度 直播購物 社群電商 KOL影響"
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"台灣消費者 2026 購物偏好 低價高CP 品牌忠誠度 直播購物 社群電商 KOL影響"
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),
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"pricing_strategy": (
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"台灣電商定價策略 動態定價 競品比價 心理定價 促銷折扣最佳時機"
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@@ -178,33 +178,39 @@ class MCPCollectorService:
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"""取得節日行事曆(供 Prompt 注入)"""
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now = datetime.now()
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month = now.month
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day = now.day
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# 靜態台灣電商節日知識庫(無需 API 呼叫)
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# 靜態台灣電商節日知識庫
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static_calendar = {
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1: "元旦促銷、農曆新年備貨期(1/20前後開始)",
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2: "農曆新年(年貨、禮盒熱賣)、情人節(2/14,保養/禮品衝量)",
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3: "婦女節(3/8)、春季換季保養、開學季",
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4: "清明連假、春季大促、換季服飾高峰",
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5: "母親節(5/2週前後,美妝/保健/家電最高峰)、520情人節",
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6: "618購物節(最大中年促銷,全平台衝量)、父親節備檔",
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7: "父親節(7/4週前後)、暑假家電/3C/旅遊用品高峰",
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8: "七夕情人節(8/10前後)、暑假尾聲出清",
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9: "中秋節(禮盒/食品衝量)、開學季3C/文具",
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10: "雙10國慶、品牌週年慶(百貨、電商 10月旺季)",
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11: "雙11光棍節(全年最大促銷)、品牌大促備貨",
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12: "雙12年終慶、聖誕節(12/25)、跨年(元旦備貨)",
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1: "元旦促銷、農曆新年備貨期",
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2: "農曆新年、情人節(2/14)",
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3: "婦女節(3/8)、開學季",
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4: "清明連假(4月初)、春季大促、換季服飾高峰",
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5: "母親節(5月第2週,年度大促)、520情人節、勞動節(5/1)",
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6: "618購物節(年中最大促銷)、端午節",
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7: "暑假開端、父親節前哨站",
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8: "父親節(8/8)、七夕情人節",
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9: "中秋節、開學季、百貨週年慶預熱",
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10: "雙10國慶、百貨週年慶高峰期",
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11: "雙11光棍節(全年最強電商季)、黑五大促",
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12: "雙12年終慶、聖誕節、跨年備貨",
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}
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base = static_calendar.get(month, "")
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# 加入下個月預告
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current_focus = static_calendar.get(month, "")
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next_month = (month % 12) + 1
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next_base = static_calendar.get(next_month, "")
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next_focus = static_calendar.get(next_month, "")
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# 月底優化:若超過 20 號,自動將焦點轉向「下月預告」,避免產生如「4月底還在過清明節」的幻覺
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if day > 20:
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header = f"當前日期:{now.strftime('%Y/%m/%d')} (月底轉場期)"
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body = f"本月即將結束,目前重點已轉向:{next_focus}"
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footer = f"下月詳細預告:{next_focus}"
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else:
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header = f"當前日期:{now.strftime('%Y/%m/%d')}"
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body = f"本月電商重點:{current_focus}"
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footer = f"下月預告:{next_focus}"
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return (
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f"當前月份:{now.strftime('%Y年%m月')}\n"
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f"本月電商重點:{base}\n"
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f"下月預告:{next_base}"
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)
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return f"{header}\n{body}\n{footer}"
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def get_seasonal_context(self) -> str:
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"""季節性消費情境"""
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@@ -23,8 +23,8 @@ import os
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import re
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from datetime import datetime
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from typing import Optional
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import requests
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from services.mcp_context_service import build_mcp_context
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logger = logging.getLogger(__name__)
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@@ -384,11 +384,15 @@ class NemotronDispatcher:
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ensure_ascii=False,
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)
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# 注入 MCP 市場上下文
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mcp_ctx = build_mcp_context()
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messages = [
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{
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"role": "system",
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"content": (
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"你是台灣電商競價情報的行動派發器。"
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f"當前市場背景 (MCP):\n{mcp_ctx}\n\n"
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"根據 Hermes 分析師提供的威脅清單,決定對每支商品呼叫哪個工具。\n"
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"路由鐵律(依序判斷,命中即停):\n"
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"1. gap_pct < 5% 且 sales_delta < -30% → 非價格異常,呼叫 flag_for_human_review,"
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