0b7bd37d5d
- Dockerfile 构建时预下载 faster-whisper 模型到镜像 - docker-compose 增加 ASR_MODEL_CACHE_DIR 环境变量 - asr_service 支持从缓存目录加载本地模型，无需运行时联网下载 Co-authored-by: Cursor <cursoragent@cursor.com>
57 lines
1.8 KiB
Docker
57 lines
1.8 KiB
Docker
# Life Echo API Dockerfile
|
||
FROM python:3.11-slim
|
||
|
||
# 设置工作目录
|
||
WORKDIR /app
|
||
|
||
# 安装系统依赖
|
||
RUN apt-get update && apt-get install -y \
|
||
gcc \
|
||
g++ \
|
||
libc6-dev \
|
||
libffi-dev \
|
||
libxml2-dev \
|
||
libxslt1-dev \
|
||
libjpeg-dev \
|
||
zlib1g-dev \
|
||
libpng-dev \
|
||
libfreetype6-dev \
|
||
&& rm -rf /var/lib/apt/lists/*
|
||
|
||
# 复制依赖文件
|
||
COPY requirements.txt .
|
||
|
||
# 安装Python依赖
|
||
RUN pip install --no-cache-dir --upgrade pip && \
|
||
pip install --no-cache-dir -r requirements.txt
|
||
|
||
# 复制应用代码（先复制代码，避免覆盖环境变量文件）
|
||
COPY . .
|
||
|
||
# 构建时预下载 faster-whisper 模型到镜像，云端运行时直接使用本地模型无需再下载
|
||
ARG ASR_MODEL_SIZE=small
|
||
RUN mkdir -p /app/models/whisper && \
|
||
python -c "from faster_whisper import WhisperModel; WhisperModel('${ASR_MODEL_SIZE}', device='cpu', compute_type='int8', download_root='/app/models/whisper')"
|
||
|
||
# 复制生产环境配置文件到镜像中
|
||
# 将 .env.production 复制为 .env，供应用运行时使用
|
||
# 注意：构建前请确保 .env.production 文件存在
|
||
# 这一步放在最后，确保覆盖任何开发环境的 .env 文件
|
||
COPY .env.production ./.env
|
||
|
||
# 创建非root用户
|
||
RUN useradd -m -u 1000 appuser && \
|
||
chown -R appuser:appuser /app
|
||
|
||
# 切换到非root用户
|
||
USER appuser
|
||
|
||
# 暴露端口
|
||
EXPOSE 8000
|
||
|
||
# 健康检查（使用 Python 内置的 http.client，无需额外依赖）
|
||
HEALTHCHECK --interval=30s --timeout=10s --start-period=10s --retries=3 \
|
||
CMD python -c "import http.client; conn = http.client.HTTPConnection('localhost', 8000); conn.request('GET', '/health'); r = conn.getresponse(); exit(0 if r.status == 200 else 1)" || exit 1
|
||
|
||
# 启动命令
|
||
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"] |