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Dockerfile

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+FROM python:3.9-slim
+
+# Set environment variables
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+
+# Create a non-root user (Standard HF)
+RUN useradd -m -u 1000 user
+WORKDIR /home/user/app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    curl \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install python dependencies globally as root
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application and set ownership
+COPY --chown=user:user . .
+
+# Expose port (HF requirement)
+EXPOSE 7860
+
+# Switch to user
+USER user
+
+# Run application with WebSocket & Custom Domain fixes
+CMD ["python", "-m", "streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0", "--browser.gatherUsageStats=false", "--server.enableCORS=false", "--server.enableXsrfProtection=false"]

README.md

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+---
+title: THC Gabungan
+emoji: 😻
+colorFrom: purple
+colorTo: purple
+sdk: docker
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+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.")

docker-compose.yml

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+services:
+  thc-gabungan:
+    build: .
+    container_name: streamlit-gabungan
+    ports:
+      - "7862:7860"
+    restart: always
+    deploy:
+      resources:
+        limits:
+          memory: 2G
+    environment:
+      - STREAMLIT_SERVER_MAX_UPLOAD_SIZE=500

requirements.txt

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+streamlit
+pandas>=2.1.0
+numpy
+openpyxl
+xlsxwriter
+pyarrow>=12.0.0