增加大模型

backend/app/scheduler.py

@@ -13,6 +13,8 @@ from .periods import get_daybefore_period, get_today_period, get_yesterday_perio
 from .state import get_today_cache, set_today_cache
 from .funding_store import prefetch_funding
 from .kline_store import prefetch_symbols
+from .llm_service import run_interpretation_batch, schedule_interpret_background
+from .stats import compute_three_day_stats
 from .wecom import build_markdown, send_wecom_markdown
 
 logger = logging.getLogger(__name__)
@@ -147,6 +149,18 @@ async def job_refresh_today() -> None:
         _restore_today_from_db()
 
 
+async def job_llm_interpret() -> None:
+    """08:05 对三日交集币种逐个大模型解读（每币间隔 3 分钟）。"""
+    logger.info("Job: LLM interpret three-day intersection")
+    if not settings.llm_api_key.strip():
+        logger.info("LLM_API_KEY not set, skip")
+        return
+    try:
+        await run_interpretation_batch()
+    except Exception as e:
+        logger.error("LLM job failed: %s", e)
+
+
 async def startup_tasks() -> None:
     init_db()
     now = now_shanghai()
@@ -194,6 +208,12 @@ async def startup_tasks() -> None:
             except Exception as e:
                 logger.error("Startup catch-up push failed: %s", e)
 
+    if settings.llm_api_key.strip() and settings.llm_auto_on_startup:
+        stats = compute_three_day_stats()
+        if stats.get("ok") and stats.get("symbols"):
+            logger.info("Startup: schedule one LLM interpret batch")
+            schedule_interpret_background()
+
 
 def start_scheduler() -> None:
     scheduler.add_job(
@@ -208,19 +228,25 @@ def start_scheduler() -> None:
         id="push_wecom",
         replace_existing=True,
     )
+    refresh_hours = max(1, settings.refresh_minutes // 60)
     scheduler.add_job(
         job_refresh_today,
-        CronTrigger(minute=f"*/{settings.refresh_minutes}", timezone="Asia/Shanghai"),
+        CronTrigger(hour=f"*/{refresh_hours}", minute=0, timezone="Asia/Shanghai"),
         id="refresh_today",
         replace_existing=True,
     )
+    scheduler.add_job(
+        job_llm_interpret,
+        CronTrigger(hour=8, minute=5, timezone="Asia/Shanghai"),
+        id="llm_interpret",
+        replace_existing=True,
+    )
     if not scheduler.running:
         scheduler.start()
     logger.info(
-        "Scheduler started (today=%s, yesterday=%s, every %d min)",
-        settings.today_data_mode,
-        settings.yesterday_data_mode,
-        settings.refresh_minutes,
+        "Scheduler started (today every %dh, LLM 08:05, interval %ds)",
+        refresh_hours,
+        settings.llm_symbol_interval_sec,
     )