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import numpy as np
import pandas as pd
import streamlit as st
st.set_page_config(page_title="Aplikasi Penggabungan THC Final", layout="wide")
st.title("Aplikasi Pengolahan THC")
st.divider()
st.caption("Ini digunakan untuk menyatukan file THC FINAL, TAK, TLP dan KDP")
st.caption("Satukan terlebih dahulu file yang sudah di vlookup, di poin nomor 4 pada site pengolahan")
st.caption(":red[pivot_TLP_na.xlsx ke TLP.xlsx], :red[pivot_KDP_na.xlsx ke KDP.xlsx]")
st.divider()
st.subheader("File yang dibutuhkan:")
st.write("1. THC FINAL.xlsx")
st.write("2. TAK.xlsx")
st.write("3. TLP.xlsx")
st.write("4. KDP.xlsx")
EXPECTED_FILES = ["THC FINAL.xlsx", "TAK.xlsx", "TLP.xlsx", "KDP.xlsx"]
KEY_COLUMNS = [
"ID ANGGOTA",
"DUMMY",
"NAMA",
"CENTER",
"KEL",
"HARI",
"JAM",
"SL",
"TRANS. DATE",
]
DESIRED_ORDER = [
"ID ANGGOTA",
"DUMMY",
"NAMA",
"CENTER",
"KEL",
"HARI",
"JAM",
"SL",
"TRANS. DATE",
"Db Qurban",
"Cr Qurban",
"Db Khusus",
"Cr Khusus",
"Db Sihara",
"Cr Sihara",
"Db Pensiun",
"Cr Pensiun",
"Db Pokok",
"Cr Pokok",
"Db SIPADAN",
"Cr SIPADAN",
"Db Sukarela",
"Cr Sukarela",
"Db Wajib",
"Cr Wajib",
"Db Total",
"Cr Total",
"Db PTN",
"Cr PTN",
"Db PRT",
"Cr PRT",
"Db DTP",
"Cr DTP",
"Db PMB",
"Cr PMB",
"Db PRR",
"Cr PRR",
"Db PSA",
"Cr PSA",
"Db PU",
"Cr PU",
"Db Total2",
"Cr Total2",
]
NUMERIC_COLUMNS = [col for col in DESIRED_ORDER if col not in KEY_COLUMNS]
@st.cache_data(show_spinner=False)
def load_excel(file_obj):
return pd.read_excel(file_obj, engine="openpyxl")
def ensure_columns(df, columns, default_value=0):
for col in columns:
if col not in df.columns:
df[col] = default_value
return df
def process_dataframe(df, new_columns, rename_dict):
df = ensure_columns(df.copy(), new_columns)
df = df.rename(columns=rename_dict)
df = ensure_columns(df, DESIRED_ORDER)
return df[DESIRED_ORDER]
def normalize_numeric(df, numeric_columns):
df = df.copy()
for col in numeric_columns:
if col not in df.columns:
df[col] = 0
continue
cleaned = (
df[col]
.astype(str)
.str.replace(",", "", regex=False)
.str.replace(" ", "", regex=False)
)
df[col] = pd.to_numeric(cleaned, errors="coerce").fillna(0)
return df
uploaded_files = st.file_uploader(
"Unggah file Excel", accept_multiple_files=True, type=["xlsx"]
)
if uploaded_files:
dfs = {}
for file in uploaded_files:
try:
dfs[file.name] = load_excel(file)
except Exception as exc:
st.error(f"Gagal membaca {file.name}: {exc}")
missing_files = [name for name in EXPECTED_FILES if name not in dfs]
if missing_files:
st.warning(f"File yang belum diunggah: {', '.join(missing_files)}")
combined_df_list = []
if "THC FINAL.xlsx" in dfs:
df_thc = dfs["THC FINAL.xlsx"].copy()
df_thc = ensure_columns(df_thc, DESIRED_ORDER)
df_thc = df_thc[DESIRED_ORDER]
st.write("THC FINAL:")
st.dataframe(df_thc, use_container_width=True)
combined_df_list.append(df_thc)
if "TAK.xlsx" in dfs:
df_tak = dfs["TAK.xlsx"]
new_columns_tak = [
"DEBIT_PINJAMAN UMUM",
"DEBIT_PINJAMAN RENOVASI RUMAH",
"DEBIT_PINJAMAN SANITASI",
"DEBIT_PINJAMAN ARTA",
"DEBIT_PINJAMAN MIKROBISNIS",
"DEBIT_PINJAMAN DT. PENDIDIKAN",
"DEBIT_PINJAMAN PERTANIAN",
"DEBIT_TOTAL",
"CREDIT_PINJAMAN UMUM",
"CREDIT_PINJAMAN RENOVASI RUMAH",
"CREDIT_PINJAMAN SANITASI",
"CREDIT_PINJAMAN ARTA",
"CREDIT_PINJAMAN MIKROBISNIS",
"CREDIT_PINJAMAN DT. PENDIDIKAN",
"CREDIT_PINJAMAN PERTANIAN",
"CREDIT_TOTAL",
]
rename_dict_tak = {
"KELOMPOK": "KEL",
"DEBIT_PINJAMAN ARTA": "Db PRT",
"DEBIT_PINJAMAN DT. PENDIDIKAN": "Db DTP",
"DEBIT_PINJAMAN MIKROBISNIS": "Db PMB",
"DEBIT_PINJAMAN SANITASI": "Db PSA",
"DEBIT_PINJAMAN UMUM": "Db PU",
"DEBIT_PINJAMAN RENOVASI RUMAH": "Db PRR",
"DEBIT_PINJAMAN PERTANIAN": "Db PTN",
"DEBIT_TOTAL": "Db Total2",
"CREDIT_PINJAMAN ARTA": "Cr PRT",
"CREDIT_PINJAMAN DT. PENDIDIKAN": "Cr DTP",
"CREDIT_PINJAMAN MIKROBISNIS": "Cr PMB",
"CREDIT_PINJAMAN SANITASI": "Cr PSA",
"CREDIT_PINJAMAN UMUM": "Cr PU",
"CREDIT_PINJAMAN RENOVASI RUMAH": "Cr PRR",
"CREDIT_PINJAMAN PERTANIAN": "Cr PTN",
"CREDIT_TOTAL": "Cr Total2",
}
df_tak = process_dataframe(df_tak, new_columns_tak, rename_dict_tak)
df_tak = normalize_numeric(df_tak, NUMERIC_COLUMNS)
st.write("TAK FINAL:")
st.dataframe(df_tak, use_container_width=True)
combined_df_list.append(df_tak)
if "TLP.xlsx" in dfs:
df_tlp = dfs["TLP.xlsx"]
new_columns_tlp = [
"DEBIT_Simpanan Pensiun",
"DEBIT_Simpanan Pokok",
"DEBIT_Simpanan Sukarela",
"DEBIT_Simpanan Wajib",
"DEBIT_Simpanan Hari Raya",
"DEBIT_Simpanan Qurban",
"DEBIT_Simpanan Sipadan",
"DEBIT_Simpanan Khusus",
"CREDIT_Simpanan Pensiun",
"CREDIT_Simpanan Pokok",
"CREDIT_Simpanan Sukarela",
"CREDIT_Simpanan Wajib",
"CREDIT_Simpanan Hari Raya",
"CREDIT_Simpanan Qurban",
"CREDIT_Simpanan Sipadan",
"CREDIT_Simpanan Khusus",
]
rename_dict_tlp = {
"KELOMPOK": "KEL",
"DEBIT_Simpanan Hari Raya": "Db Sihara",
"DEBIT_Simpanan Pensiun": "Db Pensiun",
"DEBIT_Simpanan Pokok": "Db Pokok",
"DEBIT_Simpanan Sukarela": "Db Sukarela",
"DEBIT_Simpanan Wajib": "Db Wajib",
"DEBIT_Simpanan Qurban": "Db Qurban",
"DEBIT_Simpanan Sipadan": "Db SIPADAN",
"DEBIT_Simpanan Khusus": "Db Khusus",
"DEBIT_TOTAL": "Db Total",
"CREDIT_Simpanan Hari Raya": "Cr Sihara",
"CREDIT_Simpanan Pensiun": "Cr Pensiun",
"CREDIT_Simpanan Pokok": "Cr Pokok",
"CREDIT_Simpanan Sukarela": "Cr Sukarela",
"CREDIT_Simpanan Wajib": "Cr Wajib",
"CREDIT_Simpanan Qurban": "Cr Qurban",
"CREDIT_Simpanan Sipadan": "Cr SIPADAN",
"CREDIT_Simpanan Khusus": "Cr Khusus",
"CREDIT_TOTAL": "Cr Total",
}
df_tlp = process_dataframe(df_tlp, new_columns_tlp, rename_dict_tlp)
df_tlp = normalize_numeric(df_tlp, NUMERIC_COLUMNS)
st.write("TLP FINAL:")
st.dataframe(df_tlp, use_container_width=True)
combined_df_list.append(df_tlp)
if "KDP.xlsx" in dfs:
try:
df_kdp = dfs["KDP.xlsx"]
new_columns_kdp = [
"DEBIT_Simpanan Pensiun",
"DEBIT_Simpanan Pokok",
"DEBIT_Simpanan Sukarela",
"DEBIT_Simpanan Wajib",
"DEBIT_Simpanan Hari Raya",
"DEBIT_Simpanan Qurban",
"DEBIT_Simpanan Sipadan",
"DEBIT_Simpanan Khusus",
"CREDIT_Simpanan Pensiun",
"CREDIT_Simpanan Pokok",
"CREDIT_Simpanan Sukarela",
"CREDIT_Simpanan Wajib",
"CREDIT_Simpanan Hari Raya",
"CREDIT_Simpanan Qurban",
"CREDIT_Simpanan Sipadan",
"CREDIT_Simpanan Khusus",
"DEBIT_PU",
"CREDIT_PU",
"DEBIT_TOTAL2",
"CREDIT_TOTAL2",
]
rename_dict_kdp = {
"KELOMPOK": "KEL",
"DEBIT_Simpanan Hari Raya": "Db Sihara",
"DEBIT_Simpanan Pensiun": "Db Pensiun",
"DEBIT_Simpanan Pokok": "Db Pokok",
"DEBIT_Simpanan Sukarela": "Db Sukarela",
"DEBIT_Simpanan Wajib": "Db Wajib",
"DEBIT_Simpanan Qurban": "Db Qurban",
"DEBIT_Simpanan Sipadan": "Db SIPADAN",
"DEBIT_Simpanan Khusus": "Db Khusus",
"DEBIT_TOTAL": "Db Total",
"CREDIT_Simpanan Hari Raya": "Cr Sihara",
"CREDIT_Simpanan Pensiun": "Cr Pensiun",
"CREDIT_Simpanan Pokok": "Cr Pokok",
"CREDIT_Simpanan Sukarela": "Cr Sukarela",
"CREDIT_Simpanan Wajib": "Cr Wajib",
"CREDIT_Simpanan Qurban": "Cr Qurban",
"CREDIT_Simpanan Sipadan": "Cr SIPADAN",
"CREDIT_Simpanan Khusus": "Cr Khusus",
"CREDIT_TOTAL": "Cr Total",
"DEBIT_PU": "Db PU",
"CREDIT_PU": "Cr PU",
"DEBIT_TOTAL2": "Db Total2",
"CREDIT_TOTAL2": "Cr Total2",
}
df_kdp = process_dataframe(df_kdp, new_columns_kdp, rename_dict_kdp)
df_kdp = df_kdp.loc[:, ~df_kdp.columns.duplicated()]
df_kdp = normalize_numeric(df_kdp, NUMERIC_COLUMNS)
numeric_group_cols = [col for col in NUMERIC_COLUMNS if col in df_kdp.columns]
df_kdp = df_kdp.groupby(KEY_COLUMNS, as_index=False)[numeric_group_cols].sum()
df_kdp = ensure_columns(df_kdp, DESIRED_ORDER)
df_kdp = df_kdp[DESIRED_ORDER]
st.write("KDP FINAL:")
st.dataframe(df_kdp, use_container_width=True)
combined_df_list.append(df_kdp)
except Exception as exc:
st.error(f"Error pada pemrosesan KDP: {exc}")
combined_df_list = [df for df in combined_df_list if not df.empty]
if combined_df_list:
try:
combined_df = pd.concat(combined_df_list, ignore_index=True)
combined_df = normalize_numeric(combined_df, NUMERIC_COLUMNS)
st.write("Combined DataFrame:")
st.dataframe(combined_df, use_container_width=True)
buffer = io.BytesIO()
with pd.ExcelWriter(buffer, engine="xlsxwriter") as writer:
combined_df.to_excel(writer, index=False, sheet_name="Sheet1")
buffer.seek(0)
st.download_button(
label="Unduh Format data THC gabungan.xlsx",
data=buffer.getvalue(),
file_name="Format data THC gabungan.xlsx",
mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
)
except Exception as exc:
st.error(f"Terjadi kesalahan saat menggabungkan data: {exc}")
else:
st.error("Tidak ada DataFrame valid untuk diproses.")
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