debug: add environment and model hash to API response

src/app.py

@@ -217,6 +217,17 @@ def predict(request: PredictionRequest):
         lower_bound = y_sales[0] * 0.85
         upper_bound = y_sales[0] * 1.15
         
+        import hashlib
+        import xgboost
+        import sklearn
+        import pydantic
+        
+        md5_hash = hashlib.md5()
+        with open(settings.MODEL_PATH, "rb") as f:
+            for byte_block in iter(lambda: f.read(4096), b""):
+                md5_hash.update(byte_block)
+        model_md5 = md5_hash.hexdigest()
+
         return PredictionResponse(
             Store=request.Store,
             Date=request.Date,
@@ -227,7 +238,14 @@ def predict(request: PredictionRequest):
             Status="success",
             DebugInfo={
                 "y_log": float(y_log[0]),
-                "X_row0": X.iloc[0].to_dict()
+                "X_row0": X.iloc[0].to_dict(),
+                "env": {
+                    "xgboost": xgboost.__version__,
+                    "sklearn": sklearn.__version__,
+                    "pydantic": pydantic.__version__,
+                    "model_md5": model_md5,
+                    "model_path": settings.MODEL_PATH
+                }
             }
         )