更新 docker 构建
This commit is contained in:
wojiaoyishang
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FROM python:3.11-bookworm
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# 复制项目文件
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RUN mkdir -p /app
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COPY . /app/
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COPY ./dockerdata/start.sh /app/start.sh
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WORKDIR /app/
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# 设置必备项
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ENV TIME_ZONE Asia/Shanghai
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RUN echo "${TIME_ZONE}" > /etc/timezone \
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&& ln -sf /usr/share/zoneinfo/${TIME_ZONE} /etc/localtime
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# 安装必备库
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RUN python3 -m pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple/
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# 安装
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RUN python3 -m pip install gunicorn -i https://pypi.tuna.tsinghua.edu.cn/simple/
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# 初始化数据库
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RUN flask db init
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RUN flask db migrate
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RUN flask db upgrade
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RUN flask admin init
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# 运行命令
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RUN chmod +x start.sh
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# 保持执行
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CMD /bin/sh
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FROM python:3.7-alpine
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COPY . /app/
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COPY dockerdata/config.py /app/applications/
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COPY dockerdata/start.sh /app/
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WORKDIR /app/
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ENV TIME_ZONE Asia/Shanghai
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ENV PIPURL "https://pypi.tuna.tsinghua.edu.cn/simple/ --trusted-host pypi.douban.com"
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RUN apk update \
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&& apk add --virtual mysqlclient-build gcc python3-dev musl-dev \
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&& apk add --no-cache mariadb-dev \
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&& apk add --virtual system-build linux-headers libffi-dev \
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&& apk add --no-cache jpeg-dev zlib-dev freetype-dev lcms2-dev openjpeg-dev tiff-dev tk-dev tcl-dev \
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&& apk add --no-cache bash bash-doc bash-completion \
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&& apk add --no-cache libxslt-dev tzdata g++
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RUN echo "${TIME_ZONE}" > /etc/timezone \
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&& ln -sf /usr/share/zoneinfo/${TIME_ZONE} /etc/localtime
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RUN pip --no-cache-dir install -i ${PIPURL} --upgrade pip \
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&& pip --no-cache-dir install -i ${PIPURL} -r requirements.txt \
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&& pip --no-cache-dir install -i ${PIPURL} gunicorn \
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&& chmod +x /app/start.sh
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CMD ./start.sh
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FROM python:3.7-alpine
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ENV PIPURL "https://pypi.tuna.tsinghua.edu.cn/simple/ --trusted-host pypi.douban.com"
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RUN apk update \
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&& apk add --virtual mysqlclient-build gcc python3-dev musl-dev \
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&& apk add --no-cache mariadb-dev \
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&& apk add --virtual system-build linux-headers libffi-dev \
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&& apk add --no-cache jpeg-dev zlib-dev freetype-dev lcms2-dev openjpeg-dev tiff-dev tk-dev tcl-dev \
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&& apk add --no-cache bash bash-doc bash-completion \
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&& apk add --no-cache libxslt-dev tzdata g++
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COPY requirements.txt /requirements.txt
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RUN pip --no-cache-dir install -i ${PIPURL} --upgrade pip \
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&& pip --no-cache-dir install -i ${PIPURL} -r /requirements.txt \
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&& pip --no-cache-dir install -i ${PIPURL} gunicorn
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FROM pearadminflask/python3.7-flask:pillow
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COPY . /app/
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COPY dockerdata/config.py /app/applications/
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COPY dockerdata/start.sh /app
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WORKDIR /app/
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ENV TIME_ZONE Asia/Shanghai
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RUN echo "${TIME_ZONE}" > /etc/timezone \
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&& ln -sf /usr/share/zoneinfo/${TIME_ZONE} /etc/localtime \
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&& chmod +x /app/start.sh
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CMD ./start.sh
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import logging
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from datetime import timedelta
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from urllib.parse import quote_plus as urlquote
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class BaseConfig:
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# 超级管理员账号
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SUPERADMIN = 'admin'
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# 系统名称
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SYSTEM_NAME = 'Pear Admin'
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# 主题面板的链接列表配置
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SYSTEM_PANEL_LINKS = [
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{
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"icon": "layui-icon layui-icon-auz",
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"title": "官方网站",
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"href": "http://www.pearadmin.com"
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},
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{
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"icon": "layui-icon layui-icon-auz",
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"title": "开发文档",
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"href": "http://www.pearadmin.com"
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},
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{
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"icon": "layui-icon layui-icon-auz",
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"title": "开源地址",
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"href": "https://gitee.com/Jmysy/Pear-Admin-Layui"
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}
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]
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# 上传图片目标文件夹
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UPLOADED_PHOTOS_DEST = 'static/upload'
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UPLOADED_FILES_ALLOW = ['gif', 'jpg', 'jpeg', 'png', 'webp']
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UPLOADS_AUTOSERVE = True
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# JSON 配置
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JSON_AS_ASCII = False
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# 配置多个数据库连接的连接串写法示例
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# HOSTNAME: 指数据库的IP地址、USERNAME：指数据库登录的用户名、PASSWORD：指数据库登录密码、PORT：指数据库开放的端口、DATABASE：指需要连接的数据库名称
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# MSSQL: f"mssql+pymssql://{USERNAME}:{PASSWORD}@{HOSTNAME}:{PORT}/{DATABASE}?charset=cp936"
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# MySQL: f"mysql+pymysql://{USERNAME}:{PASSWORD}@{HOSTNAME}:{PORT}/{DATABASE}?charset=utf8mb4"
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# Oracle: f"oracle+cx_oracle://{USERNAME}:{PASSWORD}@{HOSTNAME}:{PORT}/{DATABASE}"
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# SQLite "sqlite:/// database.db"
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# Postgres f"postgresql+psycopg2://{USERNAME}:{PASSWORD}@{HOSTNAME}:{PORT}/{DATABASE}"
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# Oracle的第二种连接方式
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# dsnStr = cx_Oracle.makedsn({HOSTNAME}, 1521, service_name='orcl')
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# connect_str = "oracle://%s:%s@%s" % ('{USERNAME}', ' {PASSWORD}', dsnStr)
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# 在SQLALCHEMY_BINDS 中设置：'{数据库连接别名}': '{连接串}'
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# 最后在models的数据模型class中，在__tablename__前设置 __bind_key__ = '{数据库连接别名}' 即可，表示该数据模型不使用默认的数据库连接，改用“SQLALCHEMY_BINDS”中设置的其他数据库连接
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# SQLALCHEMY_BINDS = {
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# 'testMySQL': 'mysql+pymysql://test:123456@192.168.1.1:3306/test?charset=utf8',
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# 'testMsSQL': 'mssql+pymssql://test:123456@192.168.1.1:1433/test?charset=cp936',
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# 'testOracle': 'oracle+cx_oracle://test:123456@192.168.1.1:1521/test',
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# 'testSQLite': 'sqlite:///database.db
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# }
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# 数据库的配置信息
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MYSQL_USERNAME = "root"
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MYSQL_PASSWORD = "123456"
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MYSQL_HOST = "172.10.1.31"
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MYSQL_PORT = 3306
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MYSQL_DATABASE = "PearAdminFlask"
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# mysql 数据库的配置信息
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SQLALCHEMY_DATABASE_URI = f"mysql+pymysql://{MYSQL_USERNAME}:{urlquote(MYSQL_PASSWORD)}@{MYSQL_HOST}:{MYSQL_PORT}/{MYSQL_DATABASE}?charset=utf8mb4"
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# 默认日志等级
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LOG_LEVEL = logging.WARN
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# 发信设置
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MAIL_SERVER = 'smtp.qq.com'
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MAIL_USE_TLS = False
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MAIL_USE_SSL = True
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MAIL_PORT = 465
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MAIL_USERNAME = '123@qq.com'
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MAIL_PASSWORD = 'XXXXX' # 生成的授权码
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MAIL_DEFAULT_SENDER = MAIL_USERNAME
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# 插件配置，填写插件的文件名名称，默认不启用插件。
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PLUGIN_ENABLE_FOLDERS = []
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# Session 设置
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PERMANENT_SESSION_LIFETIME = timedelta(days=7)
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SESSION_TYPE = "filesystem" # 默认使用文件系统来保存会话
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SESSION_PERMANENT = False # 会话是否持久化
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SESSION_USE_SIGNER = True # 是否对发送到浏览器上 session 的 cookie 值进行加密
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SECRET_KEY = "pear-system-flask"
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version: '3'
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services:
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flask:
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build:
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context: ..
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dockerfile: dockerdata/Dockerfile
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container_name: flask
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ports:
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- "5000:5000"
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restart: always
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command: sh -c "/app/start.sh"
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networks:
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- bridge_network
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networks:
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bridge_network:
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driver: bridge
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version: '3'
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services:
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mysql:
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image: "mysql:5.7"
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container_name: mysql
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restart: always
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ports:
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- "3306:3306"
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volumes:
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- "./dockerdata/mysql/data:/var/lib/mysql"
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- "./dockerdata/mysql/initdb:/docker-entrypoint-initdb.d"
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environment:
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LANG: C.UTF-8
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TZ: Asia/Shanghai
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MYSQL_ROOT_PASSWORD: 123456
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command: --character-set-server=utf8mb4 --collation-server=utf8mb4_unicode_ci
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networks:
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flask-network:
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ipv4_address: 172.10.1.31
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flask:
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build:
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context: .
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dockerfile: Dockerfile.server
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container_name: flask
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restart: always
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ports:
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- "8000:8000"
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depends_on:
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- mysql
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networks:
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flask-network:
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ipv4_address: 172.10.1.11
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networks:
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flask-network:
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driver: bridge
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ipam:
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config:
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- subnet: 172.10.0.0/16
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import os
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import multiprocessing
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bind = '0.0.0.0:8000'
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backlog = 512
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chdir = os.path.dirname(os.path.abspath(__file__))
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timeout = 30
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worker_class = 'sync'
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workers = multiprocessing.cpu_count() * 2 + 1
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threads = 2
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loglevel = 'info'
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access_log_format = '%(t)s %(p)s %(h)s "%(r)s" %(s)s %(L)s %(b)s %(f)s" "%(a)s"'
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if not os.path.exists('logs'):
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os.mkdir('logs')
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accesslog = os.path.join(chdir, "logs/gunicorn_access.log")
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errorlog = os.path.join(chdir, "logs/gunicorn_error.log")
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@@ -1 +0,0 @@
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CREATE DATABASE PearAdminFlask DEFAULT CHARSET utf8mb4 COLLATE utf8mb4_general_ci;;
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[mysql]
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default-character-set=utf8
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[client]
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default-character-set = utf8
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[mysqld]
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server_id = 1
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# 开启二进制日志
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log-bin = mysql-bin
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# 只保留7天的二进制日志，以防磁盘被日志占满
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expire-logs-days = 7
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# 二进制日志自动删除的天数，默认值为0,表示“没有自动删除”，启动时和二进制日志循环时可能删除
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expire_logs_days = 7
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# 设置编码与字符集
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init_connect='SET collation_connection = utf8_unicode_ci'
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init_connect='SET NAMES utf8'
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character-set-server=utf8
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collation-server=utf8_unicode_ci
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# 设置错误日志路径
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log-error = /usr/local/mysql/log/error.log
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# 设置查询日志路径
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general_log = on
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general_log_file = /usr/local/mysql/log/mysql.log
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#开启慢查询日志路径
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slow_query_log = on
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long_query_time = 3
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log-queries-not-using-indexes = on
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slow-query-log-file = /usr/local/mysql/log/slowquery.log
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@@ -1,14 +0,0 @@
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Flask
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Flask-APScheduler
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Flask-Migrate
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Flask-Login
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Flask_Reuploaded
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Flask-SQLAlchemy
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flask-marshmallow
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marshmallow-sqlalchemy
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PyMySQL
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psutil
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Flask-Mail
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Pillow
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validators
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cryptography
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#!/bin/bash
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rm -rf /root/pear-admin-flask/dockerdata/mysql/data/
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docker exec mysql /bin/bash -c "mysql -uroot -p123456 -e 'drop database IF EXISTS PearAdminFlask;CREATE DATABASE PearAdminFlask DEFAULT CHARSET utf8mb4 COLLATE utf8mb4_general_ci;'"
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docker exec flask /bin/sh -c "rm -rf migrations ; sh /app/start.sh"
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+5
-1
@@ -1,5 +1,9 @@
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#!/bin/bash
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# 这里可以设置同步时间等操作
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# 运行程序
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echo "Starting application..."
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python3 app.py
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# 这里可以修改运行命令
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gunicorn -b 0.0.0.0:5000 app:app
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