create BCF ID if missing

queries/process_ciq_2g.py

@@ -5,6 +5,8 @@ from typing import Optional
 
 import pandas as pd
 
+from utils.utils_vars import UtilsVars
+
 REQUIRED_DUMP_BTS_COLS = ["BSC", "BCF", "BTS", "usedMobileAllocation"]
 
 BTS_EXPORT_COLUMNS = [
@@ -117,6 +119,12 @@ def _read_ciq_df(ciq_file) -> pd.DataFrame:
     df["Sites"] = df["Sites"].astype("string").str.strip()
     df["site_number"] = df["Sites"].apply(_parse_site_number)
 
+    # Si "BSC ID" n'est pas fourni mais "Nom BSC" existe, générer l'ID à partir du nom
+    if "BSC ID" not in df.columns and "Nom BSC" in df.columns:
+        # Créer un dictionnaire inversé: nom -> id
+        bsc_name_to_id = {v: k for k, v in UtilsVars.bsc_name.items()}
+        df["BSC ID"] = df["Nom BSC"].map(bsc_name_to_id)
+
     if "BSC ID" in df.columns:
         df["BSC ID"] = pd.to_numeric(df["BSC ID"], errors="coerce")
     if "Nbre_TRE_DR" in df.columns: