Delete app.py

app.py

@@ -1,329 +0,0 @@
-import io
-
-import numpy as np
-import pandas as pd
-import streamlit as st
-
-
-st.set_page_config(page_title="Aplikasi Pengolahan THC", 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.")