增加大模型

backend/app/main.py

@@ -18,7 +18,7 @@ from .llm_service import get_interpret_state, run_interpretation_batch
 from .scheduler import job_finalize_yesterday, job_push_wecom, job_refresh_today, start_scheduler, startup_tasks, stop_scheduler
 from .stats import compute_three_day_stats
 from .aggregator import aggregate_period
-from .wecom import build_markdown, send_wecom_markdown
+from .wecom import build_markdown, build_push_payload, send_wecom_markdown
 from .state import get_today_cache
 
 logging.basicConfig(
@@ -93,8 +93,17 @@ async def api_stats_three_day():
     return compute_three_day_stats()
 
 
+@app.get("/api/push/preview")
+async def api_push_preview():
+    """预览企微推送内容（三日交集，列表排版）。"""
+    return build_push_payload()
+
+
 @app.post("/api/push/test")
 async def api_push_test():
+    payload = build_push_payload()
+    if not payload.get("ok"):
+        raise HTTPException(400, payload.get("message") or "三日交集数据未就绪")
     snap = get_latest_snapshot("yesterday")
     if not snap:
         start, end = get_yesterday_period()
@@ -104,12 +113,15 @@ async def api_push_test():
         snap = get_latest_snapshot("yesterday")
     if not snap:
         raise HTTPException(500, "无法生成昨日数据")
-    content = build_markdown(snap)
-    ok, msg = await send_wecom_markdown(content)
+    ok, msg = await send_wecom_markdown(payload["markdown"])
     log_push(snap["period_start"], snap["period_end"], ok, msg)
     if not ok:
         raise HTTPException(500, f"推送失败: {msg}")
-    return {"success": True, "message": "推送成功"}
+    return {
+        "success": True,
+        "message": f"已推送 {payload.get('count', 0)} 个三日交集币种",
+        "count": payload.get("count", 0),
+    }
 
 
 @app.post("/api/refresh/yesterday")