Upload app.py

app.py

@@ -228,11 +228,30 @@ def attach_market_state(payload: dict) -> dict:
         payload["nifty_quote"] = None
         payload["nifty_quote_error"] = {"status": 502, "message": str(exc)}
 
+    import json
+    import pandas as pd
+    from pathlib import Path
+    
+    # AGGRESSIVE FALLBACK: If runtime.py fails to load it (due to path resolution issues on Hugging Face), 
+    # we forcefully load it directly from app.py's relative path.
+    mfe_summary_fallback = {}
+    mfe_latest_fallback = {}
+    try:
+        models_dir = Path(__file__).resolve().parent / "models"
+        mfe_out = models_dir / "nifty_opening_mfe_regressor" / "outputs"
+        if (mfe_out / "summary.json").exists():
+            mfe_summary_fallback = json.loads((mfe_out / "summary.json").read_text(encoding="utf-8"))
+        if (mfe_out / "latest_prediction.csv").exists():
+            row = pd.read_csv(mfe_out / "latest_prediction.csv").iloc[-1].to_dict()
+            mfe_latest_fallback = {k: (None if pd.isna(v) else v) for k, v in row.items()}
+    except Exception as exc:
+        print(f"Fallback MFE load failed: {exc}", flush=True)
+
     t5_latest = payload.get("predictions", {}).get("t5", {}).get("latest") or payload.get("latest") or {}
     tomorrow_latest = payload.get("predictions", {}).get("tomorrow", {}).get("latest") or payload.get("tomorrow_latest") or {}
     tplus1_latest = payload.get("predictions", {}).get("tplus1", {}).get("latest") or payload.get("tplus1_latest") or {}
-    mfe_latest = payload.get("predictions", {}).get("mfe", {}).get("latest") or {}
-    mfe_summary = payload.get("predictions", {}).get("mfe", {}).get("summary") or {}
+    mfe_latest = payload.get("predictions", {}).get("mfe", {}).get("latest") or mfe_latest_fallback
+    mfe_summary = payload.get("predictions", {}).get("mfe", {}).get("summary") or mfe_summary_fallback
     t5_available = bool(state["t5_available"] and t5_latest.get("prediction"))
     tplus1_available = bool(state["tplus1_available"] and tplus1_latest.get("prediction"))
     tomorrow_available = bool(tomorrow_latest.get("prediction"))