Update Dockerfile

Dockerfile

@@ -4,35 +4,24 @@ FROM jupyter/base-notebook:latest
 # Jalankan sebagai root hanya untuk instalasi
 USER root
 
-# ===== Install Java 17 dan utilitas =====
-RUN apt-get update && \
-    apt-get install -y --no-install-recommends openjdk-17-jdk curl ca-certificates wget && \
-    apt-get clean && rm -rf /var/lib/apt/lists/*
+# ===== Install Java 17 =====
+RUN apt-get update && apt-get install -y openjdk-17-jdk curl && apt-get clean
 
 ENV JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64
 ENV PATH=$JAVA_HOME/bin:$PATH
 
 # ===== Install Apache Spark 3.5.0 =====
-ENV SPARK_VERSION=3.5.0
-ENV SPARK_DIST=spark-${SPARK_VERSION}-bin-hadoop3
-ENV SPARK_URL=https://archive.apache.org/dist/spark/spark-${SPARK_VERSION}/${SPARK_DIST}.tgz
-
-RUN curl -L -o /tmp/spark.tgz "${SPARK_URL}" && \
-    tar -xzf /tmp/spark.tgz -C /usr/local/ && \
-    rm /tmp/spark.tgz && \
-    mv /usr/local/${SPARK_DIST} /usr/local/spark
+RUN curl -L https://archive.apache.org/dist/spark/spark-3.5.0/spark-3.5.0-bin-hadoop3.tgz \
+    | tar -xz -C /usr/local/ && mv /usr/local/spark-3.5.0-bin-hadoop3 /usr/local/spark
 
 # ===== Set environment Spark =====
 ENV SPARK_HOME=/usr/local/spark
 ENV PATH=$SPARK_HOME/bin:$SPARK_HOME/sbin:$JAVA_HOME/bin:$PATH
 ENV PYSPARK_PYTHON=python3
-# Pastikan nama py4j tidak terputus; Spark 3.5.0 biasanya bundling py4j 0.10.9.7
 ENV PYTHONPATH=$SPARK_HOME/python/:$SPARK_HOME/python/lib/py4j-0.10.9.7-src.zip:$PYTHONPATH
 
 # ===== Install library Python =====
-# NOTE: jika kamu ingin menggunakan pyspark via pip, gunakan pyspark==3.5.0 untuk cocok dengan Spark.
-# Saya sengaja tidak meng-install 'pyspark' lewat pip untuk menghindari mismatch dengan binary Spark yang diinstall.
-RUN pip install --no-cache-dir pandas matplotlib findspark ipykernel jupyterlab
+RUN pip install --no-cache-dir pyspark pandas matplotlib findspark ipykernel jupyterlab
 
 # ===== Perbaiki izin direktori home Jupyter =====
 RUN mkdir -p /home/jovyan/.local/share/jupyter/runtime && \
@@ -46,41 +35,33 @@ WORKDIR /workspace
 
 # ===== Buat dua kernel Spark terisolasi =====
 RUN mkdir -p /usr/local/share/jupyter/kernels/spark_kernel1 && \
-    mkdir -p /usr/local/share/jupyter/kernels/spark_kernel2
-
-# kernel 1
-RUN cat > /usr/local/share/jupyter/kernels/spark_kernel1/kernel.json <<'JSON'
-{
-  "argv": ["python3", "-m", "ipykernel_launcher", "-f", "{connection_file}"],
-  "display_name": "Spark Kernel 1",
-  "language": "python",
-  "env": {
-    "JAVA_HOME": "/usr/lib/jvm/java-17-openjdk-amd64",
-    "SPARK_HOME": "/usr/local/spark",
-    "PYSPARK_PYTHON": "python3",
-    "SPARK_LOG_DIR": "/workspace/spark_logs/kernel1",
-    "SPARK_LOCAL_DIRS": "/workspace/spark_logs/kernel1",
-    "PYTHONPATH": "/usr/local/spark/python/:/usr/local/spark/python/lib/py4j-0.10.9.7-src.zip"
-  }
-}
-JSON
-
-# kernel 2
-RUN cat > /usr/local/share/jupyter/kernels/spark_kernel2/kernel.json <<'JSON'
-{
-  "argv": ["python3", "-m", "ipykernel_launcher", "-f", "{connection_file}"],
-  "display_name": "Spark Kernel 2",
-  "language": "python",
-  "env": {
-    "JAVA_HOME": "/usr/lib/jvm/java-17-openjdk-amd64",
-    "SPARK_HOME": "/usr/local/spark",
-    "PYSPARK_PYTHON": "python3",
-    "SPARK_LOG_DIR": "/workspace/spark_logs/kernel2",
-    "SPARK_LOCAL_DIRS": "/workspace/spark_logs/kernel2",
-    "PYTHONPATH": "/usr/local/spark/python/:/usr/local/spark/python/lib/py4j-0.10.9.7-src.zip"
-  }
-}
-JSON
+    mkdir -p /usr/local/share/jupyter/kernels/spark_kernel2 && \
+    echo '{ \
+      "argv": ["python3", "-m", "ipykernel_launcher", "-f", "{connection_file}"], \
+      "display_name": "Spark Kernel 1", \
+      "language": "python", \
+      "env": { \
+        "JAVA_HOME": "/usr/lib/jvm/java-17-openjdk-amd64", \
+        "SPARK_HOME": "/usr/local/spark", \
+        "PYSPARK_PYTHON": "python3", \
+        "SPARK_LOG_DIR": "/workspace/spark_logs/kernel1", \
+        "SPARK_LOCAL_DIRS": "/workspace/spark_logs/kernel1", \
+        "PYTHONPATH": "/usr/local/spark/python/:/usr/local/spark/python/lib/py4j-0.10.9.7-src.zip" \
+      } \
+    }' > /usr/local/share/jupyter/kernels/spark_kernel1/kernel.json && \
+    echo '{ \
+      "argv": ["python3", "-m", "ipykernel_launcher", "-f", "{connection_file}"], \
+      "display_name": "Spark Kernel 2", \
+      "language": "python", \
+      "env": { \
+        "JAVA_HOME": "/usr/lib/jvm/java-17-openjdk-amd64", \
+        "SPARK_HOME": "/usr/local/spark", \
+        "PYSPARK_PYTHON": "python3", \
+        "SPARK_LOG_DIR": "/workspace/spark_logs/kernel2", \
+        "SPARK_LOCAL_DIRS": "/workspace/spark_logs/kernel2", \
+        "PYTHONPATH": "/usr/local/spark/python/:/usr/local/spark/python/lib/py4j-0.10.9.7-src.zip" \
+      } \
+    }' > /usr/local/share/jupyter/kernels/spark_kernel2/kernel.json
 
 # ===== Ubah kembali ke user default Jupyter =====
 USER jovyan
@@ -89,5 +70,8 @@ USER jovyan
 EXPOSE 7860
 
 # ===== Jalankan JupyterLab di port 7860 =====
-# Gunakan ServerApp flags (kompatibel dengan jupyter_server/jupyterlab terbaru)
-CMD ["bash", "-c", "echo 'JupyterLab berjalan di port 7860' && jupyter lab --ip=0.0.0.0 --port=7860 --no-browser --ServerApp.token='' --ServerApp.password='' --NotebookApp.token='' --NotebookApp.password='' --LabApp.default_url=/lab"]
+CMD ["bash", "-c", "\
+  echo '🚀 JupyterLab berjalan di Hugging Face Spaces pada port 7860' && \
+  jupyter lab --ip=0.0.0.0 --port=7860 --no-browser --allow-root \
+      --NotebookApp.token='' --NotebookApp.password='' --NotebookApp.default_url=/lab \
+"]