update docker

working process on server utilize ~200 Mb RAM

Dockerfile

@@ -0,0 +1,14 @@
+FROM ghcr.io/astral-sh/uv:python3.12-alpine AS builder
+ENV UV_COMPILE_BYTECODE=1 UV_LINK_MODE=copy
+WORKDIR /app
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,source=uv.lock,target=uv.lock \
+    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
+    uv sync --frozen --no-dev --no-install-project
+
+FROM python:3.12-alpine
+WORKDIR /app
+COPY --from=builder /app/.venv /app/.venv
+COPY . /app
+ENV PATH="/app/.venv/bin:$PATH"
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

docker-compose.yml

@@ -1,22 +1,11 @@
 services:
   backend:
-    image: python:3.12-alpine
+    build: .
     container_name: uvpn-backend
-    working_dir: /app
-    volumes:
-      - .:/app
-      - /app/.venv
-    environment:
-      - UV_COMPILE_BYTECODE=1
-      - UV_LINK_MODE=copy
     expose:
       - 8000
-    command: >
-      sh -c "pip install --no-cache-dir uv &&
-             uv sync --frozen --no-dev &&
-             uv run uvicorn main:app --host 0.0.0.0 --port 8000 --reload"
     networks:
-      -  remnawave-network
+      - remnawave-network
     restart: unless-stopped
     healthcheck:
       test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/api/v1/health', timeout=3).read()"]
@@ -27,4 +16,4 @@ services:
 
 networks:
    remnawave-network:
-    external: true
+    external: true