Update Dockerfile

Dockerfile

@@ -13,23 +13,20 @@ RUN apt-get update && apt-get install -y \
 # Ollama 설치
 RUN curl -fsSL https://ollama.com/install.sh | sh
 
-# 환경변수 설정 (명시적으로 모델명 지정)
+# ✅ Ollama 저장소를 /tmp로 전역 고정 (권한 안전)
+ENV OLLAMA_HOME=/tmp/ollama
+ENV OLLAMA_MODELS=/tmp/ollama
 ENV OLLAMA_MODEL=gemma2:9b
-ENV OLLAMA_HOME=/app/.ollama
-ENV OLLAMA_MODELS=/app/.ollama
-RUN mkdir -p /app/.ollama && chmod -R 777 /app/.ollama
+RUN mkdir -p /tmp/ollama && chmod -R 777 /tmp/ollama
+
 
 # 빌드 중 모델 다운로드
 RUN set -eux; \
-    ollama serve & pid=$!; \
-    i=0; \
-    until curl -fsS http://127.0.0.1:11434/api/tags >/dev/null 2>&1; do \
-      i=$((i+1)); \
-      [ "$i" -lt 60 ] || { echo "Ollama not ready"; kill "$pid"; exit 1; }; \
-      sleep 1; \
-    done; \
-    ollama pull gemma2:9b; \
-    kill "$pid" || true
+  mkdir -p /tmp/ollama && chmod -R 777 /tmp/ollama; \
+  env HOME=/tmp OLLAMA_HOME=/tmp/ollama OLLAMA_MODELS=/tmp/ollama ollama serve & pid=$!; \
+  for i in {1..120}; do curl -sf http://127.0.0.1:11434/api/version >/dev/null && break || sleep 1; done; \
+  env HOME=/tmp OLLAMA_HOME=/tmp/ollama OLLAMA_MODELS=/tmp/ollama ollama pull gemma2:9b; \
+  kill "$pid" || true
 
 # 3. 작업 디렉터리 설정
 WORKDIR /app
@@ -63,18 +60,14 @@ EXPOSE 11434
 
 # 수정된 CMD
 CMD bash -lc '\
-  export OLLAMA_MODEL=${OLLAMA_MODEL:-gemma2:9b}; \
-  echo "Starting Ollama with model: $OLLAMA_MODEL"; \
-  ollama serve & \
-  for i in {1..120}; do \
-    if curl -fsS http://127.0.0.1:11434/api/version >/dev/null 2>&1; then \
-      echo "Ollama server is ready"; \
-      break; \
-    fi; \
-    echo "Waiting for Ollama... ($i/120)"; \
-    sleep 1; \
-  done; \
-  echo "Ensuring model is available: $OLLAMA_MODEL"; \
-  ollama pull "$OLLAMA_MODEL" || { echo "Failed to pull model"; exit 1; }; \
-  echo "Starting Streamlit app"; \
-  streamlit run app.py --server.address=0.0.0.0 --server.port=${PORT:-8501}'
+  set -euo pipefail; \
+  mkdir -p /tmp/ollama && chmod -R 777 /tmp/ollama; \
+  echo "Starting Ollama with model: ${OLLAMA_MODEL:-gemma2:9b}"; \
+  # ★ ollama 프로세스에만 HOME/OLLAMA_*를 /tmp로 강제 주입
+  env HOME=/tmp OLLAMA_HOME=/tmp/ollama OLLAMA_MODELS=/tmp/ollama ollama serve & \
+  # 레디체크
+  for i in {1..240}; do curl -sf http://127.0.0.1:11434/api/version >/dev/null && break || sleep 1; done; \
+  # 모델 풀 (고정: gemma2:9b)
+  env HOME=/tmp OLLAMA_HOME=/tmp/ollama OLLAMA_MODELS=/tmp/ollama ollama pull "${OLLAMA_MODEL:-gemma2:9b}" || { echo "[ERR] ollama pull failed"; exit 1; }; \
+  # Streamlit 실행 (여긴 HOME=/app 그대로)
+  exec streamlit run "app.py" --server.address=0.0.0.0 --server.port=${PORT:-8501}'