Adding City Adresse Commune and cercle to Physical DB

queries/process_gsm.py

@@ -232,10 +232,12 @@ def gsm_analaysis(file_path: str):
     gsm_df: pd.DataFrame = UtilsVars.gsm_dfs[0]
     trx_df: pd.DataFrame = UtilsVars.gsm_dfs[2]
     # df to count number of site per bsc
-    df_site_per_bsc = gsm_df[["BSC", "code"]]
+    df_site_per_bsc: pd.DataFrame = gsm_df[["BSC", "code"]]
     df_site_per_bsc = df_site_per_bsc.drop_duplicates(subset=["code"], keep="first")
 
-    df_site_per_lac = gsm_df.loc[:, ["BSC", "locationAreaIdLAC", "code"]].copy()
+    df_site_per_lac: pd.DataFrame = gsm_df.loc[
+        :, ["BSC", "locationAreaIdLAC", "code"]
+    ].copy()
     df_site_per_lac.loc[:, "code_lac"] = (
         df_site_per_lac["code"].astype(str)
         + "_"

queries/process_site_db.py

@@ -12,6 +12,9 @@ GSM_COLUMNS = [
     "Latitude",
     "Hauteur",
     "City",
+    "Adresse",
+    "Commune",
+    "Cercle",
 ]
 
 WCDMA_COLUMNS = [
@@ -23,6 +26,9 @@ WCDMA_COLUMNS = [
     "Latitude",
     "Hauteur",
     "City",
+    "Adresse",
+    "Commune",
+    "Cercle",
 ]
 LTE_COLUMNS = [
     "code",
@@ -33,6 +39,9 @@ LTE_COLUMNS = [
     "Latitude",
     "Hauteur",
     "City",
+    "Adresse",
+    "Commune",
+    "Cercle",
 ]
 
 CODE_COLUMNS = [
@@ -42,6 +51,9 @@ CODE_COLUMNS = [
     "Latitude",
     "Hauteur",
     "City",
+    "Adresse",
+    "Commune",
+    "Cercle",
 ]
 
 
@@ -155,6 +167,9 @@ def site_db():
             "Latitude",
             "Hauteur",
             "City",
+            "Adresse",
+            "Commune",
+            "Cercle",
         ]
     ]
 

utils/convert_to_excel.py

@@ -140,6 +140,9 @@ def get_format_map_by_format_type(formats: dict, format_type: str) -> dict:
             "Latitude": formats["green"],
             "Hauteur": formats["green"],
             "City": formats["green"],
+            "Adresse": formats["green"],
+            "Commune": formats["green"],
+            "Cercle": formats["green"],
             "number_trx_per_cell": formats["blue_light"],
             "number_trx_per_bcf": formats["blue_light"],
             "number_trx_per_site": formats["blue_light"],

utils/utils_vars.py

@@ -16,7 +16,17 @@ def get_physical_db():
     """
     physical = pd.read_csv(url)
     physical = physical[
-        ["Code_Sector", "Azimut", "Longitude", "Latitude", "Hauteur", "City"]
+        [
+            "Code_Sector",
+            "Azimut",
+            "Longitude",
+            "Latitude",
+            "Hauteur",
+            "City",
+            "Adresse",
+            "Commune",
+            "Cercle",
+        ]
     ]
     return physical