import pandas as pd
from functools import reduce

# source_csv = 'data\\Kontenrahmen_Import.csv'
# target_csv = 'data\\Kontenrahmen.csv'
# result_csv = 'data\\Kontenrahmen_Ergebnis.csv'
# source_csv = 'P:\\SKR51_GCStruct\\Kontenrahmen_Vorlage.csv'
# target_csv = 'P:\\SKR51_GCStruct\\GCStruct_Portal\\Kontenrahmen\\Kontenrahmen.csv'
# result_csv = 'P:\\SKR51_GCStruct\\GCStruct_Portal\\Kontenrahmen\\Kontenrahmen_neu.csv'
base_dir = (
    "V:\\Kunden\\Luchtenberg\\1 Umstellung SKR51\\GCStruct_Modell\\Kontenrahmen\\"
)
source_csv = base_dir + "Kontenrahmen_Vorlage.csv"
target_csv = base_dir + "Kontenrahmen.csv"
result_csv = base_dir + "Kontenrahmen_neu.csv"

debug = False
cols_pkey = ["Konto_Nr"]


def update(d, other):
    d.update(dict(dict(other)))
    return d


def get_dict(cols, type):
    return dict(dict(zip(cols, [type] * len(cols))))


# cols_dict = reduce(update, (get_dict(cols_pkey, np.str), get_dict(cols_str, np.str), get_dict(cols_float, np.float)), {})


df_source = pd.read_csv(
    source_csv,
    decimal=",",
    sep=";",
    encoding="latin-1",
    converters={i: str for i in range(0, 200)},
)
df_source["pkey"] = reduce(lambda x, y: x + "_" + df_source[y], cols_pkey, "")
df_source = df_source.set_index("pkey")

df_target = pd.read_csv(
    target_csv,
    decimal=",",
    sep=";",
    encoding="latin-1",
    converters={i: str for i in range(0, 200)},
)
target_columns = df_target.columns
df_target["pkey"] = reduce(lambda x, y: x + "_" + df_target[y], cols_pkey, "")
df_target = df_target.set_index("pkey")

df_join = df_source.join(df_target, how="left", rsuffix="_other")[target_columns]
df_remain = df_target.join(df_source, how="left", rsuffix="_other")
df_remain = df_remain[pd.isna(df_remain[cols_pkey[0] + "_other"])][target_columns]
# df_result = df_join[(df_join['Gesamt'] != 0) & (df_join['Serviceberater'] != "")]

# veraltete Konten nicht löschen
df_join = df_join.append(df_remain).sort_index()

df_join.to_csv(result_csv, decimal=",", sep=";", encoding="latin-1", index=None)