This commit is contained in:
ogt
@@ -31,6 +31,7 @@ from typing import Dict, List, Any, Optional
|
||||
from sqlalchemy import text
|
||||
from services.logger_manager import SystemLogger
|
||||
from services.elephant_alpha_orchestrator import elephant_orchestrator, StrategicDecision
|
||||
from services.ai_exception_contract import LEGACY_REVIEW_GATE_KEY
|
||||
from database.manager import get_db_manager, get_session
|
||||
|
||||
logger = SystemLogger("ElephantAlphaEngine").get_logger()
|
||||
@@ -45,7 +46,7 @@ COMPETITOR_MATCH_TYPE_LABELS = {
|
||||
COMPETITOR_PRICE_BASIS_LABELS = {
|
||||
"total_price": "總價可比",
|
||||
"unit_price": "單位價可比",
|
||||
"manual_review": "人工覆核後可比",
|
||||
"manual_review": "AI 例外決策後可比",
|
||||
"none": "不可比",
|
||||
}
|
||||
COMPETITOR_ALERT_TIER_LABELS = {
|
||||
@@ -143,7 +144,7 @@ _PRICE_ADJUSTMENT_REVIEW_ACTIONS = frozenset({
|
||||
"dispatch_price_updates",
|
||||
})
|
||||
|
||||
# A' 軌：價格相關觸發類型，HITL 前需 pre-fetch Hermes 具體威脅清單
|
||||
# A' 軌：價格相關觸發類型，AI 例外決策前需 pre-fetch Hermes 具體威脅清單
|
||||
# 取代 Gemini plan 階段的元流程文字（「步驟 1:[OpenClaw] 生成策略」這類）
|
||||
_PRICE_RELATED_TRIGGERS = frozenset({
|
||||
"price_drop_alert",
|
||||
@@ -717,13 +718,13 @@ class ElephantAlphaAutonomousEngine:
|
||||
|
||||
if decision.confidence >= (0.85 if trigger.trigger_type in {"price_drop_alert", "market_opportunity"} else self.confidence_threshold):
|
||||
if trigger.trigger_type in _PRICE_RELATED_TRIGGERS:
|
||||
# 價格類決策即使信心高，也只進 HITL 覆核通知；不得執行
|
||||
# 價格類決策即使信心高，也只進 AI 例外決策覆核通知；不得執行
|
||||
# orchestrator 給出的 Hermes/NemoTron/OpenClaw 長任務 step。
|
||||
# 這避免 scheduler 被 60s execution timeout 卡住，也避免自動調價。
|
||||
await self._notify_telegram_executed(decision, trigger)
|
||||
self._store_escalation(trigger.trigger_type)
|
||||
self._log.info(
|
||||
"Price decision queued for HITL review; execution plan skipped: %s",
|
||||
"Price decision queued for AI 例外決策 review; execution plan skipped: %s",
|
||||
trigger.trigger_type,
|
||||
)
|
||||
self._circuit_reset()
|
||||
@@ -1240,10 +1241,11 @@ class ElephantAlphaAutonomousEngine:
|
||||
},
|
||||
"evidence": evidence,
|
||||
"recommended_action": {
|
||||
"action": "human_review_backlog_triage",
|
||||
"action": "ai_exception_backlog_triage",
|
||||
"owner": "ops",
|
||||
"deadline": deadline,
|
||||
"requires_hitl": True,
|
||||
LEGACY_REVIEW_GATE_KEY: False,
|
||||
"requires_ai_exception": True,
|
||||
},
|
||||
"expected_impact": {
|
||||
"risk_reduction": (
|
||||
@@ -1256,7 +1258,7 @@ class ElephantAlphaAutonomousEngine:
|
||||
"can_auto_execute": False,
|
||||
"blocked_reason": (
|
||||
"resource_optimization 只允許清理過期 advisory action_plans；"
|
||||
"外部修復、價格分析與策略派發需人工覆核"
|
||||
"外部修復、價格分析與策略派發需 AI 例外決策"
|
||||
),
|
||||
"data_quality": data_quality,
|
||||
"llm_used": False,
|
||||
@@ -1292,7 +1294,7 @@ class ElephantAlphaAutonomousEngine:
|
||||
load_judgement = (
|
||||
"主機 CPU 已達高負載門檻。"
|
||||
if metrics.get("load_pressure")
|
||||
else "主機 CPU 未達高負載門檻，這不是主機資源耗盡，而是工作隊列/人工審核積壓。"
|
||||
else "主機 CPU 未達高負載門檻，這不是主機資源耗盡，而是工作隊列/AI 例外決策積壓。"
|
||||
)
|
||||
handling_notes = [
|
||||
f"已寫入 ai_insights(resource_pressure) #{insight_id}。"
|
||||
@@ -1496,7 +1498,7 @@ class ElephantAlphaAutonomousEngine:
|
||||
action = "建議加強曝光或列入 AI 挑品，不需降價"
|
||||
impact = f"MOMO 每件價格優勢 NT$ {gap_amount:,.0f}"
|
||||
else:
|
||||
action = "建議人工確認 PChome identity_v2 後評估跟價或促銷"
|
||||
action = "建議 AI 自動驗證確認 PChome identity_v2 後評估跟價或促銷"
|
||||
impact = f"每件價差 NT$ {gap_amount:,.0f}"
|
||||
|
||||
parts = [
|
||||
@@ -1521,7 +1523,7 @@ class ElephantAlphaAutonomousEngine:
|
||||
return None
|
||||
|
||||
def _fetch_recent_competitor_evidence_actions(self, top_n: int = 5) -> Optional[List[str]]:
|
||||
"""用最新 DB 價差產生 EA HITL 實證，不啟動完整 Hermes LLM。"""
|
||||
"""用最新 DB 價差產生 EA AI 例外決策實證，不啟動完整 Hermes LLM。"""
|
||||
session = get_session()
|
||||
try:
|
||||
rows = session.execute(
|
||||
@@ -1594,7 +1596,7 @@ class ElephantAlphaAutonomousEngine:
|
||||
)
|
||||
|
||||
async def _fetch_hermes_threats_summary(self, top_n: int = 5) -> Optional[List[str]]:
|
||||
"""A' 軌：HITL escalation 前 pre-fetch Hermes 具體威脅清單，
|
||||
"""A' 軌：AI 例外決策 escalation 前 pre-fetch Hermes 具體威脅清單，
|
||||
將「步驟 1: [OpenClaw] 生成策略」這類元流程文字換成
|
||||
「[SKU] 商品｜MOMO $X / PChome $Y｜流失 NT$ Z｜建議 NT$ W」具體可決策行動。
|
||||
|
||||
@@ -1602,7 +1604,7 @@ class ElephantAlphaAutonomousEngine:
|
||||
本方法為 best-effort：任何例外都不阻斷 escalation 主流程。
|
||||
|
||||
Critic High-1 fix: 加 5 秒短超時防止阻塞 escalation cooldown 視窗
|
||||
（Hermes 完整 run 可能 30-60s，HITL 訊息應快速送出）
|
||||
（Hermes 完整 run 可能 30-60s，AI 例外決策訊息應快速送出）
|
||||
Critic High-2 fix: 若每筆都缺 loss/rec_price，視同無料、return None 觸發 fallback
|
||||
"""
|
||||
db_actions = self._fetch_recent_competitor_evidence_actions(top_n=top_n)
|
||||
@@ -1620,7 +1622,7 @@ class ElephantAlphaAutonomousEngine:
|
||||
return None
|
||||
|
||||
# 使用 5s 短超時：Hermes 熱駐留時實測 < 10s，但若需冷啟動會拖到 30s+
|
||||
# HITL 訊息延遲不可大於 10s（影響統帥決策時效性），寧可 fallback 到原 plan 文字
|
||||
# AI 例外決策訊息延遲不可大於 10s（影響統帥決策時效性），寧可 fallback 到原 plan 文字
|
||||
try:
|
||||
result = await asyncio.wait_for(self._hermes_analyze(), timeout=5)
|
||||
except asyncio.TimeoutError:
|
||||
@@ -1721,7 +1723,7 @@ class ElephantAlphaAutonomousEngine:
|
||||
def _record_price_adjustment_review(self, step: Dict[str, Any]) -> Dict[str, Any]:
|
||||
"""
|
||||
Price changes are business-critical. Elephant Alpha may recommend them,
|
||||
but this system records the proposal for HITL review instead of applying it.
|
||||
but this system records the proposal for AI 例外決策 review instead of applying it.
|
||||
"""
|
||||
params = step.get("parameters") or step.get("params") or {}
|
||||
sku = (
|
||||
@@ -1734,7 +1736,7 @@ class ElephantAlphaAutonomousEngine:
|
||||
action = step.get("action", "price_adjustment")
|
||||
content = (
|
||||
f"[Elephant Alpha 價格調整覆核] AI 建議執行 {action}，"
|
||||
f"商品 {sku} 已攔截直接執行並轉入人工審核。"
|
||||
f"商品 {sku} 已攔截直接執行並轉入 AI 例外決策。"
|
||||
)
|
||||
|
||||
session = get_session()
|
||||
@@ -1768,7 +1770,7 @@ class ElephantAlphaAutonomousEngine:
|
||||
enqueue_insight_embedding(insight_id, "human_review", content)
|
||||
except Exception as embed_err:
|
||||
self._log.warning("Embedding enqueue failed for price adjustment review: %s", embed_err)
|
||||
self._log.warning("Price adjustment intercepted for HITL review: action=%s sku=%s", action, sku)
|
||||
self._log.warning("Price adjustment intercepted for AI 例外決策 review: action=%s sku=%s", action, sku)
|
||||
return {"status": "pending_review", "insight_id": insight_id, "sku": sku, "action": action}
|
||||
except Exception:
|
||||
session.rollback()
|
||||
@@ -1830,7 +1832,7 @@ class ElephantAlphaAutonomousEngine:
|
||||
"type": "confidence",
|
||||
"metric": "decision_confidence",
|
||||
"value": f"{float(decision.confidence or 0):.2f}",
|
||||
"basis": "ElephantAlpha high-confidence price signal; HITL still required",
|
||||
"basis": "ElephantAlpha high-confidence price signal; AI 例外決策 still required",
|
||||
"confidence": float(decision.confidence or 0),
|
||||
},
|
||||
{
|
||||
@@ -1854,7 +1856,7 @@ class ElephantAlphaAutonomousEngine:
|
||||
"source_agent": "elephant_alpha",
|
||||
"severity": "P2",
|
||||
"confidence": float(decision.confidence or 0),
|
||||
"analysis": "已找到價格比對實證，轉人工覆核；未批准前不執行調價或外部修復。",
|
||||
"analysis": "已找到價格比對實證，轉 AI 例外決策；未批准前不執行調價或外部修復。",
|
||||
"subject": {
|
||||
"sku": trigger.trigger_type,
|
||||
"name": f"Elephant Alpha · {trigger_label}",
|
||||
@@ -1863,14 +1865,15 @@ class ElephantAlphaAutonomousEngine:
|
||||
"recommended_action": {
|
||||
"action": "review_price_or_promo",
|
||||
"owner": "ops",
|
||||
"requires_hitl": True,
|
||||
LEGACY_REVIEW_GATE_KEY: False,
|
||||
"requires_ai_exception": True,
|
||||
},
|
||||
"expected_impact": {
|
||||
"risk_reduction": "prevent unverified automated price action while preserving actionable evidence",
|
||||
},
|
||||
"guardrails": {
|
||||
"can_auto_execute": False,
|
||||
"blocked_reason": "price decisions require HITL; execution_plan skipped",
|
||||
"blocked_reason": "price decisions require AI 例外決策; execution_plan skipped",
|
||||
"data_quality": "complete" if concrete_actions else "missing",
|
||||
},
|
||||
"trace": {
|
||||
@@ -1906,32 +1909,32 @@ class ElephantAlphaAutonomousEngine:
|
||||
"event_type": "ea_price_review",
|
||||
"title": f"🐘 EA 價格覆核 · {_zh_trigger(trigger.trigger_type)}",
|
||||
"summary": (
|
||||
f"找到 {len(concrete_actions)} 筆價格比對實證，已轉人工覆核；"
|
||||
f"找到 {len(concrete_actions)} 筆價格比對實證，已轉 AI 例外決策；"
|
||||
"未批准前不自動調價。"
|
||||
),
|
||||
"id": decision_envelope.get("decision_id"),
|
||||
"decision_envelope": decision_envelope,
|
||||
},
|
||||
tier_label="🐘 Elephant Alpha · L3 HITL",
|
||||
tier_label="🐘 Elephant Alpha · L3 AI 例外決策",
|
||||
ai_summary=(
|
||||
f"已保留 {len(concrete_actions)} 筆 DB/Hermes 價格比對實證；"
|
||||
"本通知只要求人工覆核，不執行外部修復或調價。"
|
||||
"本通知只要求 AI 例外決策，不執行外部修復或調價。"
|
||||
),
|
||||
ai_cause=(
|
||||
f"觸發類型：{_zh_trigger(trigger.trigger_type)} | "
|
||||
f"信心度：{decision.confidence:.2f} | "
|
||||
"高信心價格訊號仍需 HITL"
|
||||
"高信心價格訊號仍需 AI 例外決策"
|
||||
),
|
||||
ai_actions=concrete_actions,
|
||||
)
|
||||
await self._run_with_timeout(_send_telegram_raw, msg, timeout=10, reply_markup=keyboard)
|
||||
self._log.info(
|
||||
"Price HITL review Telegram sent: %s concrete=%d",
|
||||
"Price AI 例外決策 review Telegram sent: %s concrete=%d",
|
||||
trigger.trigger_type,
|
||||
len(concrete_actions),
|
||||
)
|
||||
except Exception as e:
|
||||
self._log.error("Price HITL review Telegram failed (non-blocking): %s", e)
|
||||
self._log.error("Price AI 例外決策 review Telegram failed (non-blocking): %s", e)
|
||||
|
||||
@staticmethod
|
||||
def _get_prefetched_concrete_actions(trigger: AutonomousTrigger) -> Optional[List[str]]:
|
||||
@@ -2033,23 +2036,24 @@ class ElephantAlphaAutonomousEngine:
|
||||
"source_agent": "elephant_alpha",
|
||||
"severity": "P2" if data_quality == "complete" else "P3",
|
||||
"confidence": float(decision.confidence or 0),
|
||||
"analysis": "低信心自主決策已轉人工覆核；未批准前不執行外部副作用。",
|
||||
"analysis": "低信心自主決策已轉 AI 例外決策；未批准前不執行外部副作用。",
|
||||
"subject": {
|
||||
"sku": trigger.trigger_type,
|
||||
"name": f"Elephant Alpha · {trigger_label}",
|
||||
},
|
||||
"evidence": evidence,
|
||||
"recommended_action": {
|
||||
"action": "human_review",
|
||||
"action": "ai_exception_decision",
|
||||
"owner": "ops",
|
||||
"requires_hitl": True,
|
||||
LEGACY_REVIEW_GATE_KEY: False,
|
||||
"requires_ai_exception": True,
|
||||
},
|
||||
"expected_impact": {
|
||||
"risk_reduction": "prevent low-confidence autonomous execution",
|
||||
},
|
||||
"guardrails": {
|
||||
"can_auto_execute": False,
|
||||
"blocked_reason": "L3 HITL required; no automatic execution before approval",
|
||||
"blocked_reason": "L3 AI 例外決策 required; no automatic execution before approval",
|
||||
"data_quality": data_quality,
|
||||
},
|
||||
"trace": {
|
||||
@@ -2176,13 +2180,13 @@ class ElephantAlphaAutonomousEngine:
|
||||
"event_type": "ea_escalation",
|
||||
"title": f"🐘 EA 升級審核 · {_zh_trigger(trigger.trigger_type)}",
|
||||
"summary": (
|
||||
f"自主決策信心度 {decision.confidence:.2f} 低於門檻，需人工批准"
|
||||
f"自主決策信心度 {decision.confidence:.2f} 低於門檻，需 AI 例外決策"
|
||||
+ ("" if concrete_actions else "（⚠️ 無實證數據）")
|
||||
),
|
||||
"id": decision_envelope.get("decision_id"),
|
||||
"decision_envelope": decision_envelope,
|
||||
},
|
||||
tier_label="🐘 Elephant Alpha · L3 HITL",
|
||||
tier_label="🐘 Elephant Alpha · L3 AI 例外決策",
|
||||
ai_summary=ai_summary_text,
|
||||
ai_cause=ai_cause_text,
|
||||
ai_actions=ai_actions_payload,
|
||||
|
||||
Reference in New Issue
Block a user