Add automatic zero-filling for availability KPIs during daily aggregation to handle missing values consistently across all availability metrics

process_kpi/kpi_health_check/normalization.py

@@ -158,6 +158,24 @@ def infer_agg(kpi: str) -> str:
     return "mean"
 
 
+def _is_availability_kpi(kpi: str) -> bool:
+    k = str(kpi).strip().lower()
+    if not k:
+        return False
+    return any(
+        x in k
+        for x in [
+            "availability",
+            "avail",
+            "unavailability",
+            "unavail",
+            "dispo",
+            "disponibil",
+            "uptime",
+        ]
+    )
+
+
 def load_physical_db() -> pd.DataFrame:
     physical_db = get_physical_db().copy()
     physical_db["code"] = physical_db["Code_Sector"].str.split("_").str[0]
@@ -192,6 +210,9 @@ def build_daily_kpi(df_raw: pd.DataFrame, rat: str) -> tuple[pd.DataFrame, list[
         numeric_cols[c] = to_numeric(df[c])
 
     numeric_df = pd.DataFrame(numeric_cols)
+    for c in list(numeric_df.columns):
+        if _is_availability_kpi(c):
+            numeric_df[c] = numeric_df[c].fillna(0.0)
     kpi_cols = [c for c in numeric_df.columns if numeric_df[c].notna().any()]
     if not kpi_cols:
         raise ValueError(f"No numeric KPI columns detected for {rat}")