feat(stock-lab): /snapshot/refresh + /runs 리스트·상세 라우터

stock-lab/app/screener/router.py

@@ -6,6 +6,7 @@ import datetime as dt
 import json
 import os
 import sqlite3
+from typing import Optional
 
 from fastapi import APIRouter, HTTPException
 
@@ -198,3 +199,78 @@ def post_run(body: schemas.RunRequest):
             telegram_payload=schemas.TelegramPayload(**payload),
             warnings=result.warnings,
         )
+
+
+# ---------- /snapshot/refresh ----------
+
+from . import snapshot as _snap
+
+
+@router.post("/snapshot/refresh")
+def post_snapshot_refresh(asof: Optional[str] = None):
+    asof_date = dt.date.fromisoformat(asof) if asof else dt.date.today()
+    if asof_date.weekday() >= 5:
+        return {"asof": asof_date.isoformat(), "status": "skipped_weekend"}
+    with _conn() as c:
+        summary = _snap.refresh_daily(c, asof_date)
+    return summary
+
+
+# ---------- /runs ----------
+
+@router.get("/runs", response_model=list[schemas.RunSummary])
+def list_runs(limit: int = 30):
+    with _conn() as c:
+        rows = c.execute(
+            "SELECT id,asof,mode,status,started_at,finished_at,top_n,"
+            "survivors_count,telegram_sent FROM screener_runs "
+            "ORDER BY asof DESC, id DESC LIMIT ?", (limit,),
+        ).fetchall()
+    return [
+        schemas.RunSummary(
+            id=r[0], asof=r[1], mode=r[2], status=r[3],
+            started_at=r[4], finished_at=r[5], top_n=r[6],
+            survivors_count=r[7], telegram_sent=bool(r[8]),
+        )
+        for r in rows
+    ]
+
+
+@router.get("/runs/{run_id}")
+def get_run(run_id: int):
+    with _conn() as c:
+        meta = c.execute(
+            "SELECT id,asof,mode,status,started_at,finished_at,top_n,"
+            "survivors_count,telegram_sent,weights_json,node_params_json,gate_params_json "
+            "FROM screener_runs WHERE id=?",
+            (run_id,),
+        ).fetchone()
+        if not meta:
+            raise HTTPException(404, "run not found")
+        rows = c.execute(
+            "SELECT rank,ticker,name,total_score,scores_json,close,market_cap,"
+            "entry_price,stop_price,target_price,atr14 "
+            "FROM screener_results WHERE run_id=? ORDER BY rank",
+            (run_id,),
+        ).fetchall()
+
+    return {
+        "meta": {
+            "id": meta[0], "asof": meta[1], "mode": meta[2], "status": meta[3],
+            "started_at": meta[4], "finished_at": meta[5], "top_n": meta[6],
+            "survivors_count": meta[7], "telegram_sent": bool(meta[8]),
+            "weights": json.loads(meta[9]),
+            "node_params": json.loads(meta[10]),
+            "gate_params": json.loads(meta[11]),
+        },
+        "results": [
+            {
+                "rank": r[0], "ticker": r[1], "name": r[2],
+                "total_score": r[3], "scores": json.loads(r[4]),
+                "close": r[5], "market_cap": r[6],
+                "entry_price": r[7], "stop_price": r[8], "target_price": r[9],
+                "atr14": r[10],
+            }
+            for r in rows
+        ],
+    }