import pandas as pd | |
from utils.convert_to_excel import convert_dfs | |
from utils.extract_code import extract_code_from_mrbts | |
from utils.utils_vars import UtilsVars | |
def process_mrbts_data(file_path: str) -> pd.DataFrame: | |
""" | |
Process data from the specified file path. | |
Args: | |
file_path (str): The path to the file. | |
""" | |
dfs = pd.read_excel( | |
file_path, | |
sheet_name=["MRBTS"], | |
engine="calamine", | |
skiprows=[0], | |
) | |
df_mrbts = dfs["MRBTS"] | |
df_mrbts.columns = df_mrbts.columns.str.replace(r"[ ]", "", regex=True) | |
df_mrbts = df_mrbts[df_mrbts["MRBTS"].apply(lambda x: str(x).isnumeric())] | |
df_mrbts["CODE"] = df_mrbts["MRBTS"].apply(extract_code_from_mrbts) | |
df_mrbts = df_mrbts[["MRBTS", "CODE", "name", "btsName"]] | |
UtilsVars.all_db_dfs.append(df_mrbts) | |
return df_mrbts | |
def process_mrbts_data_to_excel(file_path: str) -> None: | |
""" | |
Process data from the specified file path and save it to a excel file. | |
Args: | |
file_path (str): The path to the file. | |
""" | |
mrbts_df = process_mrbts_data(file_path) | |
UtilsVars.final_mrbts_database = convert_dfs([mrbts_df], ["MRBTS"]) | |