update physical db

physical_db/physical_database.csv

@@ -3020,9 +3020,9 @@
 623,1,623_1,30,-5.71445903,12.66050129,42.4,0,0
 623,2,623_2,150,-5.71445903,12.66050129,42.4,0,2
 623,3,623_3,270,-5.71445903,12.66050129,42.4,0,2
-6230,1,6230_1,80,-7.155722,11.022333,82.400002,2,2
-6230,2,6230_2,220,-7.155722,11.022333,82.400002,2,2
-6230,3,6230_3,325,-7.155722,11.022333,82.400002,2,2
+6230,1,6230_1,80,-7.151555,11.015942,82.400002,2,2
+6230,2,6230_2,220,-7.151555,11.015942,82.400002,2,2
+6230,3,6230_3,325,-7.151555,11.015942,82.400002,2,2
 6231,1,6231_1,30,-5.23614,12.388692,72.400002,2,0
 6231,2,6231_2,150,-5.23614,12.388692,72.400002,2,0
 6231,3,6231_3,280,-5.23614,12.388692,72.400002,2,0
@@ -4683,3 +4683,5 @@
 99,1,99_1,90,-8.02158333,12.58616667,16.25,2,2
 99,2,99_2,225,-8.02158333,12.58616667,16.25,2,2
 99,3,99_3,345,-8.02158333,12.58616667,16.25,2,2
+2068,2,2068_2,120,-4.144896,13.640659,19.799999,2,0
+2068,3,2068_3,240,-4.144896,13.640659,19.799999,2,0

process_kpi/process_wbts_capacity.py

@@ -70,21 +70,6 @@ def kpi_naming_cleaning(df: pd.DataFrame) -> pd.DataFrame:
     return name_df
 
 
-def create_wbts_index(df: pd.DataFrame) -> pd.DataFrame:
-    """
-    Create a custom index by combining date and DN columns.
-
-    Args:
-        df: DataFrame containing date and DN columns
-
-    Returns:
-        DataFrame with new custom_index column
-    """
-    wbts_index_df = df.copy()
-    wbts_index_df["custom_index"] = wbts_index_df["date"] + "_" + wbts_index_df["DN"]
-    return wbts_index_df
-
-
 def max_used_bb_subunits_analysis(
     df: pd.DataFrame,
     days: int = 7,