64 lines
2.4 KiB
Docker
64 lines
2.4 KiB
Docker
# -*- coding: utf-8 -*-
|
||
# 小内存优化版 Dockerfile（适用于 512MB-1GB 内存的 Linux 机器）
|
||
FROM python:3-slim
|
||
|
||
# 设置工作目录
|
||
WORKDIR /app
|
||
|
||
# 设置环境变量（优化内存使用）
|
||
ENV PYTHONUNBUFFERED=1 \
|
||
PYTHONDONTWRITEBYTECODE=1 \
|
||
FLASK_APP=web_app.py \
|
||
FLASK_ENV=production \
|
||
PYTHONHASHSEED=0 \
|
||
MALLOC_ARENA_MAX=2
|
||
|
||
# 安装系统依赖（最小化安装）
|
||
RUN apt-get update && apt-get install -y --no-install-recommends \
|
||
tesseract-ocr \
|
||
tesseract-ocr-chi-sim \
|
||
tesseract-ocr-eng \
|
||
&& rm -rf /var/lib/apt/lists/* \
|
||
&& apt-get clean
|
||
|
||
# 复制requirements文件
|
||
COPY requirements.txt .
|
||
|
||
# 创建最小化的 requirements.txt（移除GUI相关依赖）
|
||
RUN echo "scikit-learn>=1.3.0" > requirements-minimal.txt && \
|
||
echo "pandas>=2.0.0" >> requirements-minimal.txt && \
|
||
echo "numpy>=1.24.0" >> requirements-minimal.txt && \
|
||
echo "joblib>=1.3.0" >> requirements-minimal.txt && \
|
||
echo "requests>=2.31.0" >> requirements-minimal.txt && \
|
||
echo "python-dotenv>=1.0.0" >> requirements-minimal.txt && \
|
||
echo "python-dateutil>=2.8.0" >> requirements-minimal.txt && \
|
||
echo "Pillow>=10.0.0" >> requirements-minimal.txt && \
|
||
echo "pytesseract>=0.3.10" >> requirements-minimal.txt && \
|
||
echo "opencv-python-headless>=4.8.0" >> requirements-minimal.txt && \
|
||
echo "Flask>=3.0.0" >> requirements-minimal.txt && \
|
||
echo "Werkzeug>=3.0.0" >> requirements-minimal.txt && \
|
||
echo "gunicorn" >> requirements-minimal.txt
|
||
|
||
# 安装Python依赖（使用最小化依赖，opencv使用headless版本）
|
||
RUN pip install --no-cache-dir -r requirements-minimal.txt
|
||
|
||
# 复制应用代码
|
||
COPY . .
|
||
|
||
# 创建必要的目录
|
||
RUN mkdir -p templates static/css static/js logs data models
|
||
|
||
# 设置权限
|
||
RUN chmod +x start_web.py
|
||
|
||
# 暴露端口
|
||
EXPOSE 5000
|
||
|
||
# 健康检查（不使用 requests，直接用 Python）
|
||
HEALTHCHECK --interval=30s --timeout=10s --start-period=10s --retries=3 \
|
||
CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:5000/health').read()" || exit 1
|
||
|
||
# 使用gunicorn启动应用（小内存配置：单worker，减少内存占用）
|
||
CMD ["gunicorn", "--bind", "0.0.0.0:5000", "--workers", "1", "--threads", "2", "--timeout", "120", "--worker-class", "sync", "--max-requests", "1000", "--max-requests-jitter", "100", "--preload", "--access-logfile", "-", "--error-logfile", "-", "web_app:app"]
|
||
|