feat(r1-touch): 建议分级+决策类推送+应用前预览 (alert不推送/同title防轰炸/preview对比)

backend/app/api/ai_analysis.py

@@ -8,7 +8,7 @@ from app.deps import get_entity_id
 from app.auth_middleware import require_auth, require_role
 from app.models import KPIDefinition, KPIValue, KPIAlert, StrategicMap, User, ActionPlan, BudgetPlan, AISuggestion
 from app.utils.cache import get as cache_get, set as cache_set
-import json, hashlib, httpx, os
+import json, hashlib, httpx, os, urllib.request
 from datetime import datetime, date
 router = APIRouter(prefix="/api/cma/ai", tags=["AI分析"],
     dependencies=[Depends(require_role("ceo", "finance", "business", "it"))],
@@ -25,6 +25,8 @@ def _sug_dict(s: AISuggestion) -> dict:
         "source": s.source,
         "suggestion_type": s.suggestion_type,
         "target_type": s.target_type,
+        "category": s.category or "decision",
+        "pushed": s.pushed or 0,
         "target_id": s.target_id,
         "title": s.title,
         "content": s.content,
@@ -76,6 +78,7 @@ def generate_rule_suggestions(db: Session, entity_id: int,
             source=source,
             suggestion_type=suggestion_type,
             target_type=target_type,
+            category="alert" if target_type == "alert" else "decision",
             target_id=tid,
             title=title,
             content=content,
@@ -170,9 +173,51 @@ def generate_rule_suggestions(db: Session, entity_id: int,
         db.commit()
         for s in created:
             db.refresh(s)
+        # R1触达修复(2026-08-31): 只对新建的决策类建议推送企微（预警类不推防噪音）
+        # 防轰炸: 同 title 建议幂等不重建 + pushed 标记只推一次；存量不推（只推新建）
+        for s in created:
+            if s.category == "decision" and not s.pushed:
+                ok = _push_decision_suggestion(s)
+                if ok:
+                    s.pushed = 1
+                    db.commit()
     return created
 
 
+_TYPE_LABELS = {"kpi_target": "KPI目标", "budget_adjust": "预算调整", "action_plan": "行动方案"}
+
+
+def _push_decision_suggestion(s: AISuggestion) -> bool:
+    """决策类建议推送到企微（8800 relay，与 lead.py 同款已验证）
+
+    仅 decision 类；预警类不进推送流。失败不影响主流程（try/except）。
+    """
+    if getattr(s, "category", "decision") != "decision":
+        return False
+    type_label = _TYPE_LABELS.get(s.suggestion_type, s.suggestion_type)
+    content = (
+        f"## 📌 AI决策建议\n"
+        f"**{s.title}**\n"
+        f"{str(s.content or '')[:120]}\n"
+        f"类型标签: {type_label}\n"
+        f"---\n"
+        f"⏰ {datetime.now().strftime('%Y-%m-%d %H:%M')}"
+    )
+    msg = {"msgtype": "markdown", "markdown": {"content": content}}
+    try:
+        data = json.dumps(msg, ensure_ascii=False).encode("utf-8")
+        req = urllib.request.Request(
+            "http://127.0.0.1:8800/send",
+            data=data,
+            headers={"Content-Type": "application/json"},
+            method="POST",
+        )
+        urllib.request.urlopen(req, timeout=5)
+        return True
+    except Exception:
+        return False
+
+
 def _unapplied_suggestions(db: Session, entity_id: int, limit: int = 20) -> list:
     items = db.query(AISuggestion).filter(
         AISuggestion.entity_id == entity_id,