生成python项目的docker模板

复制后执行该脚本即可

文件结构

project
+--- bak.txt
+--- compose
|   +--- mysql
|   |   +--- config
|   |   |   +--- my.cnf
|   |   +--- init
|   |   |   +--- init.sql
|   |   +--- sql
|   |   |   +--- init.sql
|   |   |   +--- role.sql
|   |   |   +--- users.sql
|   +--- mysql-files
|   +--- nginx
|   |   +--- default.conf
|   |   +--- Dockerfile
|   |   +--- log
|   |   +--- ssl
|   +--- redis
|   |   +--- redis.conf
|   +--- uwsgi
+--- docker-compose.yml
+--- project
|   +--- Dockerfile
|   +--- pip.conf
|   +--- requirements.txt
|   +--- start.sh
|   +--- uwsgi.ini

使用

假如复制后的文件为gen_temp.py

$python gen_temp.py
请输入项目名
$project_name
请输入MYSQL根密码, 默认: root!@3456
$!234567890
请输入MYSQL普通用户的用户名, 默认: lczmx
$lczmx
请输入MYSQL普通用户的密码, 默认: lczmx!@3456
$!@#456
请输入Redis的密码, 默认: redis!@3456
$ 
请输入Nginx在宿主机的http端口, 默认: 80
$ 
请输入Nginx在宿主机的https端口, 默认: 443
$ 
[2021/12/18 18:53:29] [INFO] 递归创建: project_name
[2021/12/18 18:53:29] [INFO] 递归创建:/home/lczmx/code/project_name/compose
[2021/12/18 18:53:29] [INFO] 写入: docker-compose.yml
[2021/12/18 18:53:29] [INFO] 递归创建:/home/lczmx/code/project_name/compose/mysql/config
[2021/12/18 18:53:29] [INFO] 递归创建:/home/lczmx/code/project_name/compose/mysql/init
[2021/12/18 18:53:29] [INFO] 递归创建:/home/lczmx/code/project_name/compose/mysql/sql
[2021/12/18 18:53:29] [INFO] 写入: my.cnf
[2021/12/18 18:53:29] [INFO] 写入: init.sql
[2021/12/18 18:53:29] [INFO] 写入: init.sql
[2021/12/18 18:53:29] [INFO] 写入: role.sql
[2021/12/18 18:53:29] [INFO] 写入: users.sql
[2021/12/18 18:53:29] [INFO] 递归创建:/home/lczmx/code/project_name/compose/mysql-files
[2021/12/18 18:53:29] [INFO] 递归创建:/home/lczmx/code/project_name/compose/nginx
[2021/12/18 18:53:29] [INFO] 递归创建:/home/lczmx/code/project_name/compose/nginx/log
[2021/12/18 18:53:29] [INFO] 递归创建:/home/lczmx/code/project_name/compose/nginx/ssl
[2021/12/18 18:53:29] [INFO] 写入: Dockerfile
[2021/12/18 18:53:29] [INFO] 写入: default.conf
[2021/12/18 18:53:29] [INFO] 递归创建:/home/lczmx/code/project_name/compose/redis
[2021/12/18 18:53:29] [INFO] 写入: redis.conf
[2021/12/18 18:53:29] [INFO] 递归创建:/home/lczmx/code/project_name/compose/uwsgi
[2021/12/18 18:53:29] [INFO] 递归创建:/home/lczmx/code/project_name/project_name
[2021/12/18 18:53:29] [INFO] 写入: Dockerfile
[2021/12/18 18:53:29] [INFO] 写入: pip.conf
[2021/12/18 18:53:29] [INFO] 写入: start.sh
[2021/12/18 18:53:29] [INFO] 写入: uwsgi.ini
[2021/12/18 18:53:29] [INFO] 写入: requirements.txt
[2021/12/18 18:53:29] [INFO] ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
[2021/12/18 18:53:29] [INFO] 已成功创建项目: project_name
[2021/12/18 18:53:29] [INFO] MYSQL根用户密码: !234567890
[2021/12/18 18:53:29] [INFO] 自定义MYSQL的用户名: lczmx
[2021/12/18 18:53:29] [INFO] 自定义MYSQL的密码: !@#456
[2021/12/18 18:53:29] [INFO] Redis密码: redis!@3456
[2021/12/18 18:53:29] [INFO] ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
是否将密码等配置保存到文件? (Y or N)
$y
[2021/12/18 18:53:34] [INFO] 保存中...
[2021/12/18 18:53:34] [INFO] 写入: bak.txt
[2021/12/18 18:53:34] [INFO] 已经保存到: /home/lczmx/code/project_name/bak.txt

脚本

#!/usr/bin/env python
"""
创建docker-compose模板
blog: https://www.cnblogs.com/lczmx/
"""
import os
import time
import logging
import getpass

logger = logging.getLogger("createProject")
logger.setLevel(logging.INFO)

formatter = logging.Formatter(fmt="[%(asctime)s] [%(levelname)s] %(message)s", datefmt="%Y/%m/%d %X")
handler = logging.StreamHandler()
handler.setFormatter(formatter)

logger.addHandler(handler)


def init_dir(dir_path):
    """
    创建目录
    :param dir_path: 要创建的文件路径
    :return:
    """
    if not os.path.isdir(dir_path):
        logger.info(f"递归创建: {dir_path}")
        os.makedirs(dir_path)


def write_file(path, filename, content: str, **kwargs):
    """
    写入文件统一接口
    :param path: 文件目录
    :param filename: 文件名
    :param content: 文件内容
    :param kwargs: 要替换的关键词
    :return:
    """
    logger.info(f"写入: {filename}")
    with open(os.path.join(path, filename), encoding="utf-8", mode="w") as f:
        if kwargs:
            f.write(content.format(**kwargs))
        else:
            f.write(content)


def create_dc(compose_path, project_name, mysql_root_password, host_nginx_http_port, host_nginx_https_port):
    """
    生成docker-compose.yaml文件
    :param compose_path: compose的目录
    :param project_name: 项目名称
    :param mysql_root_password: MYSQL根用户密码
    :return:
    """
    docker_compose_temp = r"""# 生成脚本地址: https://www.cnblogs.com/lczmx/p/15589605.html
version: "3"

  volumes: # 自定义数据卷,位于宿主机/var/lib/docker/volumes内
    {project_name}_db_vol: # 定义数据卷同步容器内mysql数据
    {project_name}_redis_vol: # 定义数据卷同步redis容器内数据
    {project_name}_media_vol: # 定义数据卷同步media文件夹数据
    {project_name}_static_vol: # 定义数据卷同步的静态文件数据

  services:
    redis:
      image: redis:5
      command: redis-server /etc/redis/redis.conf # 容器启动后启动redis服务器
      volumes:
        - {project_name}_redis_vol:/data # 通过挂载给redis数据备份
        - ./compose/redis/redis.conf:/etc/redis/redis.conf # 挂载redis配置文件
      ports:
        - "6379:6379"
      restart: always # always表容器运行发生错误时一直重启
    db:
      image: mysql:5.7
      environment:
        MYSQL_ROOT_PASSWORD: {mysql_root_password}
      command:
        --character-set-server=utf8mb4
        --collation-server=utf8mb4_unicode_ci
      volumes:
        - {project_name}_db_vol:/var/lib/mysql:rw # 挂载数据库数据, 可读可写
        - ./compose/mysql-files:/var/lib/mysql-files
        - ./compose/mysql/conf/my.cnf:/etc/mysql/my.cnf # 挂载配置文件
        - ./compose/mysql/init:/docker-entrypoint-initdb.d/ # 挂载数据初始化sql脚本
        - ./compose/mysql/sql:/opt/sql
      ports:
        - 3306:3306 # 与配置文件保持一致
      restart: always


    {project_name}:
      build: ./{project_name} # 使用{project_name}目录下的Dockerfile
      expose:
        - "8000" # 暴露出端口8000
      volumes:
        - ./{project_name}:/var/www/html/{project_name} # 挂载项目代码
        - {project_name}_media_vol:/var/www/html/{project_name}/media # 以数据卷挂载容器内用户上传媒体文件
        - ./compose/uwsgi:/tmp # 挂载uwsgi日志
      links:
        - db
        - redis
      depends_on: # 依赖关系
        - db
        - redis
      working_dir: /var/www/html/{project_name}
      environment:
        - DEBUG=False
      restart: always
      tty: true
      stdin_open: true


    nginx:
      build: ./compose/nginx
      ports:
        - {host_nginx_http_port}:80
        - {host_nginx_https_port}:443
      expose:
        - "80"
      volumes:
        - ./{project_name}/static:/usr/share/nginx/html/static # 挂载静态文件
        - ./compose/nginx/ssl:/usr/share/nginx/ssl # 挂载ssl证书目录
        - ./compose/nginx/log:/var/log/nginx # 挂载日志
        - {project_name}_media_vol:/usr/share/nginx/html/media # 挂载用户上传媒体文件
      links:
        - {project_name}
      depends_on:
        - {project_name}
      restart: always
        """
    write_file(compose_path, "docker-compose.yml", docker_compose_temp, project_name=project_name,
               mysql_root_password=mysql_root_password, host_nginx_http_port=host_nginx_http_port,
               host_nginx_https_port=host_nginx_https_port)


def create_db(compose_path, project_name, mysql_user_username, mysql_user_password):
    """
    生成mysql配置文件
    :param compose_path: compose的目录
    :param project_name: 项目目录
    :param mysql_user_username: mysql普通用户 用户名
    :param mysql_user_password: mysql普通用户 密码
    :return:
    """
    config_path = os.path.join(compose_path, "mysql", "config")
    init_path = os.path.join(compose_path, "mysql", "init")
    sql_path = os.path.join(compose_path, "mysql", "sql")

    init_dir(config_path)
    init_dir(init_path)
    init_dir(sql_path)

    conf_temp = r"""# 生成脚本地址: https://www.cnblogs.com/lczmx/p/15589605.html
[client]
port=3306
socket = /var/run/mysqld/mysqld.sock
[mysql]
no-auto-rehash
auto-rehash
default-character-set=utf8mb4
[mysqld]
###basic settings
server-id = 2
pid-file    = /var/run/mysqld/mysqld.pid
socket        = /var/run/mysqld/mysqld.sock
datadir        = /var/lib/mysql
#log-error    = /var/lib/mysql/error.log
# By default we only accept connections from localhost
#bind-address    = 127.0.0.1
# Disabling symbolic-links is recommended to prevent assorted security risks
symbolic-links=0
character-set-server = utf8mb4
sql_mode="NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION"
default-storage-engine=INNODB
transaction_isolation = READ-COMMITTED
auto_increment_offset = 1
connect_timeout = 20
max_connections = 3500
wait_timeout=86400
interactive_timeout=86400
interactive_timeout = 7200
log_bin_trust_function_creators = 1
wait_timeout = 7200
sort_buffer_size = 32M
join_buffer_size = 128M
max_allowed_packet = 1024M
tmp_table_size = 2097152
explicit_defaults_for_timestamp = 1
read_buffer_size = 16M
read_rnd_buffer_size = 32M
query_cache_type = 1
query_cache_size = 2M
table_open_cache = 1500
table_definition_cache = 1000
thread_cache_size = 768
back_log = 3000
open_files_limit = 65536
skip-name-resolve
########log settings########
log-output=FILE
general_log = ON
general_log_file=/var/lib/mysql/general.log
slow_query_log = ON
slow_query_log_file=/var/lib/mysql/slowquery.log
long_query_time=10
#log-error=/var/lib/mysql/error.log
log_queries_not_using_indexes = OFF
log_throttle_queries_not_using_indexes = 0
#expire_logs_days = 120
min_examined_row_limit = 100
########innodb settings########
innodb_io_capacity = 4000
innodb_io_capacity_max = 8000
innodb_buffer_pool_size = 6144M
innodb_file_per_table = on
innodb_buffer_pool_instances = 20
innodb_buffer_pool_load_at_startup = 1
innodb_buffer_pool_dump_at_shutdown = 1
innodb_log_file_size = 300M
innodb_log_files_in_group = 2 
innodb_log_buffer_size = 16M
innodb_undo_logs = 128
#innodb_undo_tablespaces = 3
#innodb_undo_log_truncate = 1
#innodb_max_undo_log_size = 2G
innodb_flush_method = O_DIRECT
innodb_flush_neighbors = 1
innodb_purge_threads = 4
innodb_large_prefix = 1
innodb_thread_concurrency = 64
innodb_print_all_deadlocks = 1
innodb_strict_mode = 1
innodb_sort_buffer_size = 64M
innodb_flush_log_at_trx_commit=1
innodb_autoextend_increment=64
innodb_concurrency_tickets=5000
innodb_old_blocks_time=1000
innodb_open_files=65536
innodb_stats_on_metadata=0
innodb_file_per_table=1
innodb_checksum_algorithm=0
#innodb_data_file_path=ibdata1:60M;ibdata2:60M;autoextend:max:1G
innodb_data_file_path = ibdata1:12M:autoextend
#innodb_temp_data_file_path = ibtmp1:500M:autoextend:max:20G
#innodb_buffer_pool_dump_pct = 40
#innodb_page_cleaners = 4
#innodb_purge_rseg_truncate_frequency = 128
binlog_gtid_simple_recovery=1
#log_timestamps=system
##############
delayed_insert_limit = 100
delayed_insert_timeout = 300
delayed_queue_size = 1000
delay_key_write = ON
disconnect_on_expired_password = ON
div_precision_increment = 4
end_markers_in_json = OFF
eq_range_index_dive_limit = 10
innodb_adaptive_flushing = ON
innodb_adaptive_hash_index = ON
innodb_adaptive_max_sleep_delay = 150000
#innodb_additional_mem_pool_size = 2097152
innodb_autoextend_increment = 64
innodb_autoinc_lock_mode = 1"""
    sql_temp = r"""-- 生成脚本地址: https://www.cnblogs.com/lczmx/p/15589605.html
source /opt/sql/init.sql;
-- 执行其它脚本,通过数据卷挂载
-- use {project_name};
-- source /opt/sql/users.sql;
-- source /opt/sql/role.sql;"""
    sql_init_temp = r"""-- 生成脚本地址: https://www.cnblogs.com/lczmx/p/15589605.html
-- 创建数据库
CREATE DATABASE  `{project_name}` DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;
-- 创建普通用户
-- 命令格式: grant 权限1,权限2,…权限n on 数据库名称.表名称 to 用户名@用户地址 identified by ‘连接口令’;
grant all PRIVILEGES on {project_name}.* to {mysql_user_username}@'%' identified by '{mysql_user_password}';
flush privileges;
-- 执行其它sql use test;"""

    # write_file(path, filename, content, project_name)
    write_file(config_path, "my.cnf", conf_temp)
    write_file(init_path, "init.sql", sql_temp, project_name=project_name)

    write_file(sql_path, "init.sql", sql_init_temp, project_name=project_name, mysql_user_username=mysql_user_username,
               mysql_user_password=mysql_user_password)
    write_file(sql_path, "role.sql", "-- 自定义脚本\n")
    write_file(sql_path, "users.sql", "-- 自定义脚本\n")
    # 创建mysql-files文件夹
    init_dir(os.path.join(compose_path, "mysql-files"))


def create_nginx(compose_path, project_name):
    """
    生成nginx配置文件
    :param compose_path: compose目录
    :param project_name: 项目名
    :return:
    """
    nginx_path = os.path.join(compose_path, "nginx")
    init_dir(nginx_path)
    init_dir(os.path.join(nginx_path, "log"))
    init_dir(os.path.join(nginx_path, "ssl"))

    docker_file_temp = r"""# 生成脚本地址: https://www.cnblogs.com/lczmx/p/15589605.html
# nginx镜像compose/nginx/Dockerfile

FROM nginx:latest

# 删除原有配置文件,创建静态资源文件夹和ssl证书保存文件夹
RUN rm /etc/nginx/conf.d/default.conf \
&& mkdir -p /usr/share/nginx/html/static \
&& mkdir -p /usr/share/nginx/html/media \
&& mkdir -p /usr/share/nginx/ssl

# 设置Media文件夹用户和用户组为Linux默认www-data, 并给予可读和可执行权限,
# 否则用户上传的图片无法正确显示。
RUN chown -R www-data:www-data /usr/share/nginx/html/media \
&& chmod -R 775 /usr/share/nginx/html/media

# 添加配置文件
ADD ./default.conf /etc/nginx/conf.d/

# 关闭守护模式
CMD ["nginx", "-g", "daemon off;"]"""
    write_file(nginx_path, "Dockerfile", docker_file_temp)

    conf_temp = r"""# 生成脚本地址: https://www.cnblogs.com/lczmx/p/15589605.html
# nginx配置文件
# compose/nginx/nginx.conf

upstream %s {
    ip_hash;
    server %s:8000; # Docker-compose {project_name}的服务端口
}

server {
listen 80; # 监听80端口
server_name localhost; # 可以是nginx容器所在ip地址或127.0.0.1,不能写宿主机外网ip地址

charset utf-8;
client_max_body_size 10M; # 限制用户上传文件大小

    location /static {
        alias /usr/share/nginx/html/static; # 静态资源路径
    }

    location /media {
        alias /usr/share/nginx/html/media; # 媒体资源,用户上传文件路径
    }

    location / {
        include /etc/nginx/uwsgi_params;
        uwsgi_pass %s;
        uwsgi_read_timeout 600;
        uwsgi_connect_timeout 600;
        uwsgi_send_timeout 600;

        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header Host $http_host;
        proxy_redirect off;
        proxy_set_header X-Real-IP  $remote_addr;
        # proxy_pass http://django; # 使用uwsgi通信,而不是http,所以不使用proxy_pass。
    }
}

access_log /var/log/nginx/access.log main;
error_log /var/log/nginx/error.log warn;

server_tokens off;""" % (project_name, project_name, project_name)  # 由于配置中有{ 和 } 只能这样写
    write_file(nginx_path, "default.conf", conf_temp)


def create_redis(compose_path, redis_password):
    """
    生成redis配置文件
    :param compose_path: compose目录
    :param redis_password: redis密码
    :return:
    """
    redis_path = os.path.join(compose_path, "redis")
    init_dir(redis_path)
    conf_temp = r"""# 生成脚本地址: https://www.cnblogs.com/lczmx/p/15589605.html
# Redis configuration file example

# Note on units: when memory size is needed, it is possible to specify
# it in the usual form of 1k 5GB 4M and so forth:
#
# 1k => 1000 bytes
# 1kb => 1024 bytes
# 1m => 1000000 bytes
# 1mb => 1024*1024 bytes
# 1g => 1000000000 bytes
# 1gb => 1024*1024*1024 bytes
#
# units are case insensitive so 1GB 1Gb 1gB are all the same.

################################## INCLUDES ###################################

# Include one or more other config files here.  This is useful if you
# have a standard template that goes to all Redis servers but also need
# to customize a few per-server settings.  Include files can include
# other files, so use this wisely.
#
# Notice option "include" won't be rewritten by command "CONFIG REWRITE"
# from admin or Redis Sentinel. Since Redis always uses the last processed
# line as value of a configuration directive, you'd better put includes
# at the beginning of this file to avoid overwriting config change at runtime.
#
# If instead you are interested in using includes to override configuration
# options, it is better to use include as the last line.
#
# include .\path\to\local.conf
# include c:\path\to\other.conf

################################## NETWORK #####################################

# By default, if no "bind" configuration directive is specified, Redis listens
# for connections from all the network interfaces available on the server.
# It is possible to listen to just one or multiple selected interfaces using
# the "bind" configuration directive, followed by one or more IP addresses.
#
# Examples:
#
# bind 192.168.1.100 10.0.0.1
# bind 127.0.0.1 ::1
bind 0.0.0.0
# ~~~ WARNING ~~~ If the computer running Redis is directly exposed to the
# internet, binding to all the interfaces is dangerous and will expose the
# instance to everybody on the internet. So by default we uncomment the
# following bind directive, that will force Redis to listen only into
# the IPv4 lookback interface address (this means Redis will be able to
# accept connections only from clients running into the same computer it
# is running).
#
# IF YOU ARE SURE YOU WANT YOUR INSTANCE TO LISTEN TO ALL THE INTERFACES
# JUST COMMENT THE FOLLOWING LINE.
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# bind 127.0.0.1

# Protected mode is a layer of security protection, in order to avoid that
# Redis instances left open on the internet are accessed and exploited.
#
# When protected mode is on and if:
#
# 1) The server is not binding explicitly to a set of addresses using the
#    "bind" directive.
# 2) No password is configured.

requirepass {redis_password}
# The server only accepts connections from clients connecting from the
# IPv4 and IPv6 loopback addresses 127.0.0.1 and ::1, and from Unix domain
# sockets.
#
# By default protected mode is enabled. You should disable it only if
# you are sure you want clients from other hosts to connect to Redis
# even if no authentication is configured, nor a specific set of interfaces
# are explicitly listed using the "bind" directive.
protected-mode yes

# Accept connections on the specified port, default is 6379 (IANA #815344).
# If port 0 is specified Redis will not listen on a TCP socket.
port 6379

# TCP listen() backlog.
#
# In high requests-per-second environments you need an high backlog in order
# to avoid slow clients connections issues. Note that the Linux kernel
# will silently truncate it to the value of /proc/sys/net/core/somaxconn so
# make sure to raise both the value of somaxconn and tcp_max_syn_backlog
# in order to get the desired effect.
tcp-backlog 511

# Unix socket.
#
# Specify the path for the Unix socket that will be used to listen for
# incoming connections. There is no default, so Redis will not listen
# on a unix socket when not specified.
#
# unixsocket /tmp/redis.sock
# unixsocketperm 700

# Close the connection after a client is idle for N seconds (0 to disable)
timeout 0

# TCP keepalive.
#
# If non-zero, use SO_KEEPALIVE to send TCP ACKs to clients in absence
# of communication. This is useful for two reasons:
#
# 1) Detect dead peers.
# 2) Take the connection alive from the point of view of network
#    equipment in the middle.
#
# On Linux, the specified value (in seconds) is the period used to send ACKs.
# Note that to close the connection the double of the time is needed.
# On other kernels the period depends on the kernel configuration.
#
# A reasonable value for this option is 60 seconds.
tcp-keepalive 0

################################# GENERAL #####################################

# By default Redis does not run as a daemon. Use 'yes' if you need it.
# Note that Redis will write a pid file in /var/run/redis.pid when daemonized.
# NOT SUPPORTED ON WINDOWS daemonize no

# If you run Redis from upstart or systemd, Redis can interact with your
# supervision tree. Options:
#   supervised no      - no supervision interaction
#   supervised upstart - signal upstart by putting Redis into SIGSTOP mode
#   supervised systemd - signal systemd by writing READY=1 to $NOTIFY_SOCKET
#   supervised auto    - detect upstart or systemd method based on
#                        UPSTART_JOB or NOTIFY_SOCKET environment variables
# Note: these supervision methods only signal "process is ready."
#       They do not enable continuous liveness pings back to your supervisor.
# NOT SUPPORTED ON WINDOWS supervised no

# If a pid file is specified, Redis writes it where specified at startup
# and removes it at exit.
#
# When the server runs non daemonized, no pid file is created if none is
# specified in the configuration. When the server is daemonized, the pid file
# is used even if not specified, defaulting to "/var/run/redis.pid".
#
# Creating a pid file is best effort: if Redis is not able to create it
# nothing bad happens, the server will start and run normally.
# NOT SUPPORTED ON WINDOWS pidfile /var/run/redis.pid

# Specify the server verbosity level.
# This can be one of:
# debug (a lot of information, useful for development/testing)
# verbose (many rarely useful info, but not a mess like the debug level)
# notice (moderately verbose, what you want in production probably)
# warning (only very important / critical messages are logged)
loglevel notice

# Specify the log file name. Also 'stdout' can be used to force
# Redis to log on the standard output.
logfile ""

# To enable logging to the Windows EventLog, just set 'syslog-enabled' to
# yes, and optionally update the other syslog parameters to suit your needs.
# If Redis is installed and launched as a Windows Service, this will
# automatically be enabled.
# syslog-enabled no

# Specify the source name of the events in the Windows Application log.
# syslog-ident redis

# Set the number of databases. The default database is DB 0, you can select
# a different one on a per-connection basis using SELECT <dbid> where
# dbid is a number between 0 and 'databases'-1
databases 16

################################ SNAPSHOTTING  ################################
#
# Save the DB on disk:
#
#   save <seconds> <changes>
#
#   Will save the DB if both the given number of seconds and the given
#   number of write operations against the DB occurred.
#
#   In the example below the behaviour will be to save:
#   after 900 sec (15 min) if at least 1 key changed
#   after 300 sec (5 min) if at least 10 keys changed
#   after 60 sec if at least 10000 keys changed
#
#   Note: you can disable saving completely by commenting out all "save" lines.
#
#   It is also possible to remove all the previously configured save
#   points by adding a save directive with a single empty string argument
#   like in the following example:
#
#   save ""

save 900 1
save 300 10
save 60 10000

# By default Redis will stop accepting writes if RDB snapshots are enabled
# (at least one save point) and the latest background save failed.
# This will make the user aware (in a hard way) that data is not persisting
# on disk properly, otherwise chances are that no one will notice and some
# disaster will happen.
#
# If the background saving process will start working again Redis will
# automatically allow writes again.
#
# However if you have setup your proper monitoring of the Redis server
# and persistence, you may want to disable this feature so that Redis will
# continue to work as usual even if there are problems with disk,
# permissions, and so forth.
stop-writes-on-bgsave-error yes

# Compress string objects using LZF when dump .rdb databases?
# For default that's set to 'yes' as it's almost always a win.
# If you want to save some CPU in the saving child set it to 'no' but
# the dataset will likely be bigger if you have compressible values or keys.
rdbcompression yes

# Since version 5 of RDB a CRC64 checksum is placed at the end of the file.
# This makes the format more resistant to corruption but there is a performance
# hit to pay (around 10%) when saving and loading RDB files, so you can disable it
# for maximum performances.
#
# RDB files created with checksum disabled have a checksum of zero that will
# tell the loading code to skip the check.
rdbchecksum yes

# The filename where to dump the DB
dbfilename dump.rdb

# The working directory.
#
# The DB will be written inside this directory, with the filename specified
# above using the 'dbfilename' configuration directive.
#
# The Append Only File will also be created inside this directory.
#
# Note that you must specify a directory here, not a file name.
dir ./

################################# REPLICATION #################################

# Master-Slave replication. Use slaveof to make a Redis instance a copy of
# another Redis server. A few things to understand ASAP about Redis replication.
#
# 1) Redis replication is asynchronous, but you can configure a master to
#    stop accepting writes if it appears to be not connected with at least
#    a given number of slaves.
# 2) Redis slaves are able to perform a partial resynchronization with the
#    master if the replication link is lost for a relatively small amount of
#    time. You may want to configure the replication backlog size (see the next
#    sections of this file) with a sensible value depending on your needs.
# 3) Replication is automatic and does not need user intervention. After a
#    network partition slaves automatically try to reconnect to masters
#    and resynchronize with them.
#
# slaveof <masterip> <masterport>

# If the master is password protected (using the "requirepass" configuration
# directive below) it is possible to tell the slave to authenticate before
# starting the replication synchronization process, otherwise the master will
# refuse the slave request.
#
# masterauth <master-password>

# When a slave loses its connection with the master, or when the replication
# is still in progress, the slave can act in two different ways:
#
# 1) if slave-serve-stale-data is set to 'yes' (the default) the slave will
#    still reply to client requests, possibly with out of date data, or the
#    data set may just be empty if this is the first synchronization.
#
# 2) if slave-serve-stale-data is set to 'no' the slave will reply with
#    an error "SYNC with master in progress" to all the kind of commands
#    but to INFO and SLAVEOF.
#
slave-serve-stale-data yes

# You can configure a slave instance to accept writes or not. Writing against
# a slave instance may be useful to store some ephemeral data (because data
# written on a slave will be easily deleted after resync with the master) but
# may also cause problems if clients are writing to it because of a
# misconfiguration.
#
# Since Redis 2.6 by default slaves are read-only.
#
# Note: read only slaves are not designed to be exposed to untrusted clients
# on the internet. It's just a protection layer against misuse of the instance.
# Still a read only slave exports by default all the administrative commands
# such as CONFIG, DEBUG, and so forth. To a limited extent you can improve
# security of read only slaves using 'rename-command' to shadow all the
# administrative / dangerous commands.
slave-read-only yes

# Replication SYNC strategy: disk or socket.
#
# -------------------------------------------------------
# WARNING: DISKLESS REPLICATION IS EXPERIMENTAL CURRENTLY
# -------------------------------------------------------
#
# New slaves and reconnecting slaves that are not able to continue the replication
# process just receiving differences, need to do what is called a "full
# synchronization". An RDB file is transmitted from the master to the slaves.
# The transmission can happen in two different ways:
#
# 1) Disk-backed: The Redis master creates a new process that writes the RDB
#                 file on disk. Later the file is transferred by the parent
#                 process to the slaves incrementally.
# 2) Diskless: The Redis master creates a new process that directly writes the
#              RDB file to slave sockets, without touching the disk at all.
#
# With disk-backed replication, while the RDB file is generated, more slaves
# can be queued and served with the RDB file as soon as the current child producing
# the RDB file finishes its work. With diskless replication instead once
# the transfer starts, new slaves arriving will be queued and a new transfer
# will start when the current one terminates.
#
# When diskless replication is used, the master waits a configurable amount of
# time (in seconds) before starting the transfer in the hope that multiple slaves
# will arrive and the transfer can be parallelized.
#
# With slow disks and fast (large bandwidth) networks, diskless replication
# works better.
repl-diskless-sync no

# When diskless replication is enabled, it is possible to configure the delay
# the server waits in order to spawn the child that transfers the RDB via socket
# to the slaves.
#
# This is important since once the transfer starts, it is not possible to serve
# new slaves arriving, that will be queued for the next RDB transfer, so the server
# waits a delay in order to let more slaves arrive.
#
# The delay is specified in seconds, and by default is 5 seconds. To disable
# it entirely just set it to 0 seconds and the transfer will start ASAP.
repl-diskless-sync-delay 5

# Slaves send PINGs to server in a predefined interval. It's possible to change
# this interval with the repl_ping_slave_period option. The default value is 10
# seconds.
#
# repl-ping-slave-period 10

# The following option sets the replication timeout for:
#
# 1) Bulk transfer I/O during SYNC, from the point of view of slave.
# 2) Master timeout from the point of view of slaves (data, pings).
# 3) Slave timeout from the point of view of masters (REPLCONF ACK pings).
#
# It is important to make sure that this value is greater than the value
# specified for repl-ping-slave-period otherwise a timeout will be detected
# every time there is low traffic between the master and the slave.
#
# repl-timeout 60

# Disable TCP_NODELAY on the slave socket after SYNC?
#
# If you select "yes" Redis will use a smaller number of TCP packets and
# less bandwidth to send data to slaves. But this can add a delay for
# the data to appear on the slave side, up to 40 milliseconds with
# Linux kernels using a default configuration.
#
# If you select "no" the delay for data to appear on the slave side will
# be reduced but more bandwidth will be used for replication.
#
# By default we optimize for low latency, but in very high traffic conditions
# or when the master and slaves are many hops away, turning this to "yes" may
# be a good idea.
repl-disable-tcp-nodelay no

# Set the replication backlog size. The backlog is a buffer that accumulates
# slave data when slaves are disconnected for some time, so that when a slave
# wants to reconnect again, often a full resync is not needed, but a partial
# resync is enough, just passing the portion of data the slave missed while
# disconnected.
#
# The bigger the replication backlog, the longer the time the slave can be
# disconnected and later be able to perform a partial resynchronization.
#
# The backlog is only allocated once there is at least a slave connected.
#
# repl-backlog-size 1mb

# After a master has no longer connected slaves for some time, the backlog
# will be freed. The following option configures the amount of seconds that
# need to elapse, starting from the time the last slave disconnected, for
# the backlog buffer to be freed.
#
# A value of 0 means to never release the backlog.
#
# repl-backlog-ttl 3600

# The slave priority is an integer number published by Redis in the INFO output.
# It is used by Redis Sentinel in order to select a slave to promote into a
# master if the master is no longer working correctly.
#
# A slave with a low priority number is considered better for promotion, so
# for instance if there are three slaves with priority 10, 100, 25 Sentinel will
# pick the one with priority 10, that is the lowest.
#
# However a special priority of 0 marks the slave as not able to perform the
# role of master, so a slave with priority of 0 will never be selected by
# Redis Sentinel for promotion.
#
# By default the priority is 100.
slave-priority 100

# It is possible for a master to stop accepting writes if there are less than
# N slaves connected, having a lag less or equal than M seconds.
#
# The N slaves need to be in "online" state.
#
# The lag in seconds, that must be <= the specified value, is calculated from
# the last ping received from the slave, that is usually sent every second.
#
# This option does not GUARANTEE that N replicas will accept the write, but
# will limit the window of exposure for lost writes in case not enough slaves
# are available, to the specified number of seconds.
#
# For example to require at least 3 slaves with a lag <= 10 seconds use:
#
# min-slaves-to-write 3
# min-slaves-max-lag 10
#
# Setting one or the other to 0 disables the feature.
#
# By default min-slaves-to-write is set to 0 (feature disabled) and
# min-slaves-max-lag is set to 10.

################################## SECURITY ###################################

# Require clients to issue AUTH <PASSWORD> before processing any other
# commands.  This might be useful in environments in which you do not trust
# others with access to the host running redis-server.
#
# This should stay commented out for backward compatibility and because most
# people do not need auth (e.g. they run their own servers).
#
# Warning: since Redis is pretty fast an outside user can try up to
# 150k passwords per second against a good box. This means that you should
# use a very strong password otherwise it will be very easy to break.
#
# requirepass foobared

# Command renaming.
#
# It is possible to change the name of dangerous commands in a shared
# environment. For instance the CONFIG command may be renamed into something
# hard to guess so that it will still be available for internal-use tools
# but not available for general clients.
#
# Example:
#
# rename-command CONFIG b840fc02d524045429941cc15f59e41cb7be6c52
#
# It is also possible to completely kill a command by renaming it into
# an empty string:
#
# rename-command CONFIG ""
#
# Please note that changing the name of commands that are logged into the
# AOF file or transmitted to slaves may cause problems.

################################### LIMITS ####################################

# Set the max number of connected clients at the same time. By default
# this limit is set to 10000 clients, however if the Redis server is not
# able to configure the process file limit to allow for the specified limit
# the max number of allowed clients is set to the current file limit
# minus 32 (as Redis reserves a few file descriptors for internal uses).
#
# Once the limit is reached Redis will close all the new connections sending
# an error 'max number of clients reached'.
#
# maxclients 10000

# If Redis is to be used as an in-memory-only cache without any kind of
# persistence, then the fork() mechanism used by the background AOF/RDB
# persistence is unnecessary. As an optimization, all persistence can be
# turned off in the Windows version of Redis. This will redirect heap
# allocations to the system heap allocator, and disable commands that would
# otherwise cause fork() operations: BGSAVE and BGREWRITEAOF.
# This flag may not be combined with any of the other flags that configure
# AOF and RDB operations.
# persistence-available [(yes)|no]

# Don't use more memory than the specified amount of bytes.
# When the memory limit is reached Redis will try to remove keys
# according to the eviction policy selected (see maxmemory-policy).
#
# If Redis can't remove keys according to the policy, or if the policy is
# set to 'noeviction', Redis will start to reply with errors to commands
# that would use more memory, like SET, LPUSH, and so on, and will continue
# to reply to read-only commands like GET.
#
# This option is usually useful when using Redis as an LRU cache, or to set
# a hard memory limit for an instance (using the 'noeviction' policy).
#
# WARNING: If you have slaves attached to an instance with maxmemory on,
# the size of the output buffers needed to feed the slaves are subtracted
# from the used memory count, so that network problems / resyncs will
# not trigger a loop where keys are evicted, and in turn the output
# buffer of slaves is full with DELs of keys evicted triggering the deletion
# of more keys, and so forth until the database is completely emptied.
#
# In short... if you have slaves attached it is suggested that you set a lower
# limit for maxmemory so that there is some free RAM on the system for slave
# output buffers (but this is not needed if the policy is 'noeviction').
#
# WARNING: not setting maxmemory will cause Redis to terminate with an
# out-of-memory exception if the heap limit is reached.
#
# NOTE: since Redis uses the system paging file to allocate the heap memory,
# the Working Set memory usage showed by the Windows Task Manager or by other
# tools such as ProcessExplorer will not always be accurate. For example, right
# after a background save of the RDB or the AOF files, the working set value
# may drop significantly. In order to check the correct amount of memory used
# by the redis-server to store the data, use the INFO client command. The INFO
# command shows only the memory used to store the redis data, not the extra
# memory used by the Windows process for its own requirements. Th3 extra amount
# of memory not reported by the INFO command can be calculated subtracting the
# Peak Working Set reported by the Windows Task Manager and the used_memory_peak
# reported by the INFO command.
#
# maxmemory <bytes>

# MAXMEMORY POLICY: how Redis will select what to remove when maxmemory
# is reached. You can select among five behaviors:
#
# volatile-lru -> remove the key with an expire set using an LRU algorithm
# allkeys-lru -> remove any key according to the LRU algorithm
# volatile-random -> remove a random key with an expire set
# allkeys-random -> remove a random key, any key
# volatile-ttl -> remove the key with the nearest expire time (minor TTL)
# noeviction -> don't expire at all, just return an error on write operations
#
# Note: with any of the above policies, Redis will return an error on write
#       operations, when there are no suitable keys for eviction.
#
#       At the date of writing these commands are: set setnx setex append
#       incr decr rpush lpush rpushx lpushx linsert lset rpoplpush sadd
#       sinter sinterstore sunion sunionstore sdiff sdiffstore zadd zincrby
#       zunionstore zinterstore hset hsetnx hmset hincrby incrby decrby
#       getset mset msetnx exec sort
#
# The default is:
#
# maxmemory-policy noeviction

# LRU and minimal TTL algorithms are not precise algorithms but approximated
# algorithms (in order to save memory), so you can tune it for speed or
# accuracy. For default Redis will check five keys and pick the one that was
# used less recently, you can change the sample size using the following
# configuration directive.
#
# The default of 5 produces good enough results. 10 Approximates very closely
# true LRU but costs a bit more CPU. 3 is very fast but not very accurate.
#
# maxmemory-samples 5

############################## APPEND ONLY MODE ###############################

# By default Redis asynchronously dumps the dataset on disk. This mode is
# good enough in many applications, but an issue with the Redis process or
# a power outage may result into a few minutes of writes lost (depending on
# the configured save points).
#
# The Append Only File is an alternative persistence mode that provides
# much better durability. For instance using the default data fsync policy
# (see later in the config file) Redis can lose just one second of writes in a
# dramatic event like a server power outage, or a single write if something
# wrong with the Redis process itself happens, but the operating system is
# still running correctly.
#
# AOF and RDB persistence can be enabled at the same time without problems.
# If the AOF is enabled on startup Redis will load the AOF, that is the file
# with the better durability guarantees.
#
# Please check http://redis.io/topics/persistence for more information.

appendonly no

# The name of the append only file (default: "appendonly.aof")
appendfilename "appendonly.aof"

# The fsync() call tells the Operating System to actually write data on disk
# instead of waiting for more data in the output buffer. Some OS will really flush
# data on disk, some other OS will just try to do it ASAP.
#
# Redis supports three different modes:
#
# no: don't fsync, just let the OS flush the data when it wants. Faster.
# always: fsync after every write to the append only log. Slow, Safest.
# everysec: fsync only one time every second. Compromise.
#
# The default is "everysec", as that's usually the right compromise between
# speed and data safety. It's up to you to understand if you can relax this to
# "no" that will let the operating system flush the output buffer when
# it wants, for better performances (but if you can live with the idea of
# some data loss consider the default persistence mode that's snapshotting),
# or on the contrary, use "always" that's very slow but a bit safer than
# everysec.
#
# More details please check the following article:
# http://antirez.com/post/redis-persistence-demystified.html
#
# If unsure, use "everysec".

# appendfsync always
appendfsync everysec
# appendfsync no

# When the AOF fsync policy is set to always or everysec, and a background
# saving process (a background save or AOF log background rewriting) is
# performing a lot of I/O against the disk, in some Linux configurations
# Redis may block too long on the fsync() call. Note that there is no fix for
# this currently, as even performing fsync in a different thread will block
# our synchronous write(2) call.
#
# In order to mitigate this problem it's possible to use the following option
# that will prevent fsync() from being called in the main process while a
# BGSAVE or BGREWRITEAOF is in progress.
#
# This means that while another child is saving, the durability of Redis is
# the same as "appendfsync none". In practical terms, this means that it is
# possible to lose up to 30 seconds of log in the worst scenario (with the
# default Linux settings).
#
# If you have latency problems turn this to "yes". Otherwise leave it as
# "no" that is the safest pick from the point of view of durability.
no-appendfsync-on-rewrite no

# Automatic rewrite of the append only file.
# Redis is able to automatically rewrite the log file implicitly calling
# BGREWRITEAOF when the AOF log size grows by the specified percentage.
#
# This is how it works: Redis remembers the size of the AOF file after the
# latest rewrite (if no rewrite has happened since the restart, the size of
# the AOF at startup is used).
#
# This base size is compared to the current size. If the current size is
# bigger than the specified percentage, the rewrite is triggered. Also
# you need to specify a minimal size for the AOF file to be rewritten, this
# is useful to avoid rewriting the AOF file even if the percentage increase
# is reached but it is still pretty small.
#
# Specify a percentage of zero in order to disable the automatic AOF
# rewrite feature.

auto-aof-rewrite-percentage 100
auto-aof-rewrite-min-size 64mb

# An AOF file may be found to be truncated at the end during the Redis
# startup process, when the AOF data gets loaded back into memory.
# This may happen when the system where Redis is running
# crashes, especially when an ext4 filesystem is mounted without the
# data=ordered option (however this can't happen when Redis itself
# crashes or aborts but the operating system still works correctly).
#
# Redis can either exit with an error when this happens, or load as much
# data as possible (the default now) and start if the AOF file is found
# to be truncated at the end. The following option controls this behavior.
#
# If aof-load-truncated is set to yes, a truncated AOF file is loaded and
# the Redis server starts emitting a log to inform the user of the event.
# Otherwise if the option is set to no, the server aborts with an error
# and refuses to start. When the option is set to no, the user requires
# to fix the AOF file using the "redis-check-aof" utility before to restart
# the server.
#
# Note that if the AOF file will be found to be corrupted in the middle
# the server will still exit with an error. This option only applies when
# Redis will try to read more data from the AOF file but not enough bytes
# will be found.
aof-load-truncated yes

################################ LUA SCRIPTING  ###############################

# Max execution time of a Lua script in milliseconds.
#
# If the maximum execution time is reached Redis will log that a script is
# still in execution after the maximum allowed time and will start to
# reply to queries with an error.
#
# When a long running script exceeds the maximum execution time only the
# SCRIPT KILL and SHUTDOWN NOSAVE commands are available. The first can be
# used to stop a script that did not yet called write commands. The second
# is the only way to shut down the server in the case a write command was
# already issued by the script but the user doesn't want to wait for the natural
# termination of the script.
#
# Set it to 0 or a negative value for unlimited execution without warnings.
lua-time-limit 5000

################################ REDIS CLUSTER  ###############################
#
# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
# WARNING EXPERIMENTAL: Redis Cluster is considered to be stable code, however
# in order to mark it as "mature" we need to wait for a non trivial percentage
# of users to deploy it in production.
# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#
# Normal Redis instances can't be part of a Redis Cluster; only nodes that are
# started as cluster nodes can. In order to start a Redis instance as a
# cluster node enable the cluster support uncommenting the following:
#
# cluster-enabled yes

# Every cluster node has a cluster configuration file. This file is not
# intended to be edited by hand. It is created and updated by Redis nodes.
# Every Redis Cluster node requires a different cluster configuration file.
# Make sure that instances running in the same system do not have
# overlapping cluster configuration file names.
#
# cluster-config-file nodes-6379.conf

# Cluster node timeout is the amount of milliseconds a node must be unreachable
# for it to be considered in failure state.
# Most other internal time limits are multiple of the node timeout.
#
# cluster-node-timeout 15000

# A slave of a failing master will avoid to start a failover if its data
# looks too old.
#
# There is no simple way for a slave to actually have a exact measure of
# its "data age", so the following two checks are performed:
#
# 1) If there are multiple slaves able to failover, they exchange messages
#    in order to try to give an advantage to the slave with the best
#    replication offset (more data from the master processed).
#    Slaves will try to get their rank by offset, and apply to the start
#    of the failover a delay proportional to their rank.
#
# 2) Every single slave computes the time of the last interaction with
#    its master. This can be the last ping or command received (if the master
#    is still in the "connected" state), or the time that elapsed since the
#    disconnection with the master (if the replication link is currently down).
#    If the last interaction is too old, the slave will not try to failover
#    at all.
#
# The point "2" can be tuned by user. Specifically a slave will not perform
# the failover if, since the last interaction with the master, the time
# elapsed is greater than:
#
#   (node-timeout * slave-validity-factor) + repl-ping-slave-period
#
# So for example if node-timeout is 30 seconds, and the slave-validity-factor
# is 10, and assuming a default repl-ping-slave-period of 10 seconds, the
# slave will not try to failover if it was not able to talk with the master
# for longer than 310 seconds.
#
# A large slave-validity-factor may allow slaves with too old data to failover
# a master, while a too small value may prevent the cluster from being able to
# elect a slave at all.
#
# For maximum availability, it is possible to set the slave-validity-factor
# to a value of 0, which means, that slaves will always try to failover the
# master regardless of the last time they interacted with the master.
# (However they'll always try to apply a delay proportional to their
# offset rank).
#
# Zero is the only value able to guarantee that when all the partitions heal
# the cluster will always be able to continue.
#
# cluster-slave-validity-factor 10

# Cluster slaves are able to migrate to orphaned masters, that are masters
# that are left without working slaves. This improves the cluster ability
# to resist to failures as otherwise an orphaned master can't be failed over
# in case of failure if it has no working slaves.
#
# Slaves migrate to orphaned masters only if there are still at least a
# given number of other working slaves for their old master. This number
# is the "migration barrier". A migration barrier of 1 means that a slave
# will migrate only if there is at least 1 other working slave for its master
# and so forth. It usually reflects the number of slaves you want for every
# master in your cluster.
#
# Default is 1 (slaves migrate only if their masters remain with at least
# one slave). To disable migration just set it to a very large value.
# A value of 0 can be set but is useful only for debugging and dangerous
# in production.
#
# cluster-migration-barrier 1

# By default Redis Cluster nodes stop accepting queries if they detect there
# is at least an hash slot uncovered (no available node is serving it).
# This way if the cluster is partially down (for example a range of hash slots
# are no longer covered) all the cluster becomes, eventually, unavailable.
# It automatically returns available as soon as all the slots are covered again.
#
# However sometimes you want the subset of the cluster which is working,
# to continue to accept queries for the part of the key space that is still
# covered. In order to do so, just set the cluster-require-full-coverage
# option to no.
#
# cluster-require-full-coverage yes

# In order to setup your cluster make sure to read the documentation
# available at http://redis.io web site.

################################## SLOW LOG ###################################

# The Redis Slow Log is a system to log queries that exceeded a specified
# execution time. The execution time does not include the I/O operations
# like talking with the client, sending the reply and so forth,
# but just the time needed to actually execute the command (this is the only
# stage of command execution where the thread is blocked and can not serve
# other requests in the meantime).
#
# You can configure the slow log with two parameters: one tells Redis
# what is the execution time, in microseconds, to exceed in order for the
# command to get logged, and the other parameter is the length of the
# slow log. When a new command is logged the oldest one is removed from the
# queue of logged commands.

# The following time is expressed in microseconds, so 1000000 is equivalent
# to one second. Note that a negative number disables the slow log, while
# a value of zero forces the logging of every command.
slowlog-log-slower-than 10000

# There is no limit to this length. Just be aware that it will consume memory.
# You can reclaim memory used by the slow log with SLOWLOG RESET.
slowlog-max-len 128

################################ LATENCY MONITOR ##############################

# The Redis latency monitoring subsystem samples different operations
# at runtime in order to collect data related to possible sources of
# latency of a Redis instance.
#
# Via the LATENCY command this information is available to the user that can
# print graphs and obtain reports.
#
# The system only logs operations that were performed in a time equal or
# greater than the amount of milliseconds specified via the
# latency-monitor-threshold configuration directive. When its value is set
# to zero, the latency monitor is turned off.
#
# By default latency monitoring is disabled since it is mostly not needed
# if you don't have latency issues, and collecting data has a performance
# impact, that while very small, can be measured under big load. Latency
# monitoring can easily be enabled at runtime using the command
# "CONFIG SET latency-monitor-threshold <milliseconds>" if needed.
latency-monitor-threshold 0

############################# EVENT NOTIFICATION ##############################

# Redis can notify Pub/Sub clients about events happening in the key space.
# This feature is documented at http://redis.io/topics/notifications
#
# For instance if keyspace events notification is enabled, and a client
# performs a DEL operation on key "foo" stored in the Database 0, two
# messages will be published via Pub/Sub:
#
# PUBLISH __keyspace@0__:foo del
# PUBLISH __keyevent@0__:del foo
#
# It is possible to select the events that Redis will notify among a set
# of classes. Every class is identified by a single character:
#
#  K     Keyspace events, published with __keyspace@<db>__ prefix.
#  E     Keyevent events, published with __keyevent@<db>__ prefix.
#  g     Generic commands (non-type specific) like DEL, EXPIRE, RENAME, ...
#  $     String commands
#  l     List commands
#  s     Set commands
#  h     Hash commands
#  z     Sorted set commands
#  x     Expired events (events generated every time a key expires)
#  e     Evicted events (events generated when a key is evicted for maxmemory)
#  A     Alias for g$lshzxe, so that the "AKE" string means all the events.
#
#  The "notify-keyspace-events" takes as argument a string that is composed
#  of zero or multiple characters. The empty string means that notifications
#  are disabled.
#
#  Example: to enable list and generic events, from the point of view of the
#           event name, use:
#
#  notify-keyspace-events Elg
#
#  Example 2: to get the stream of the expired keys subscribing to channel
#             name __keyevent@0__:expired use:
#
#  notify-keyspace-events Ex
#
#  By default all notifications are disabled because most users don't need
#  this feature and the feature has some overhead. Note that if you don't
#  specify at least one of K or E, no events will be delivered.
notify-keyspace-events ""

############################### ADVANCED CONFIG ###############################

# Hashes are encoded using a memory efficient data structure when they have a
# small number of entries, and the biggest entry does not exceed a given
# threshold. These thresholds can be configured using the following directives.
hash-max-ziplist-entries 512
hash-max-ziplist-value 64

# Lists are also encoded in a special way to save a lot of space.
# The number of entries allowed per internal list node can be specified
# as a fixed maximum size or a maximum number of elements.
# For a fixed maximum size, use -5 through -1, meaning:
# -5: max size: 64 Kb  <-- not recommended for normal workloads
# -4: max size: 32 Kb  <-- not recommended
# -3: max size: 16 Kb  <-- probably not recommended
# -2: max size: 8 Kb   <-- good
# -1: max size: 4 Kb   <-- good
# Positive numbers mean store up to _exactly_ that number of elements
# per list node.
# The highest performing option is usually -2 (8 Kb size) or -1 (4 Kb size),
# but if your use case is unique, adjust the settings as necessary.
list-max-ziplist-size -2

# Lists may also be compressed.
# Compress depth is the number of quicklist ziplist nodes from *each* side of
# the list to *exclude* from compression.  The head and tail of the list
# are always uncompressed for fast push/pop operations.  Settings are:
# 0: disable all list compression
# 1: depth 1 means "don't start compressing until after 1 node into the list,
#    going from either the head or tail"
#    So: [head]->node->node->...->node->[tail]
#    [head], [tail] will always be uncompressed; inner nodes will compress.
# 2: [head]->[next]->node->node->...->node->[prev]->[tail]
#    2 here means: don't compress head or head->next or tail->prev or tail,
#    but compress all nodes between them.
# 3: [head]->[next]->[next]->node->node->...->node->[prev]->[prev]->[tail]
# etc.
list-compress-depth 0

# Sets have a special encoding in just one case: when a set is composed
# of just strings that happen to be integers in radix 10 in the range
# of 64 bit signed integers.
# The following configuration setting sets the limit in the size of the
# set in order to use this special memory saving encoding.
set-max-intset-entries 512

# Similarly to hashes and lists, sorted sets are also specially encoded in
# order to save a lot of space. This encoding is only used when the length and
# elements of a sorted set are below the following limits:
zset-max-ziplist-entries 128
zset-max-ziplist-value 64

# HyperLogLog sparse representation bytes limit. The limit includes the
# 16 bytes header. When an HyperLogLog using the sparse representation crosses
# this limit, it is converted into the dense representation.
#
# A value greater than 16000 is totally useless, since at that point the
# dense representation is more memory efficient.
#
# The suggested value is ~ 3000 in order to have the benefits of
# the space efficient encoding without slowing down too much PFADD,
# which is O(N) with the sparse encoding. The value can be raised to
# ~ 10000 when CPU is not a concern, but space is, and the data set is
# composed of many HyperLogLogs with cardinality in the 0 - 15000 range.
hll-sparse-max-bytes 3000

# Active rehashing uses 1 millisecond every 100 milliseconds of CPU time in
# order to help rehashing the main Redis hash table (the one mapping top-level
# keys to values). The hash table implementation Redis uses (see dict.c)
# performs a lazy rehashing: the more operation you run into a hash table
# that is rehashing, the more rehashing "steps" are performed, so if the
# server is idle the rehashing is never complete and some more memory is used
# by the hash table.
#
# The default is to use this millisecond 10 times every second in order to
# actively rehash the main dictionaries, freeing memory when possible.
#
# If unsure:
# use "activerehashing no" if you have hard latency requirements and it is
# not a good thing in your environment that Redis can reply from time to time
# to queries with 2 milliseconds delay.
#
# use "activerehashing yes" if you don't have such hard requirements but
# want to free memory asap when possible.
activerehashing yes

# The client output buffer limits can be used to force disconnection of clients
# that are not reading data from the server fast enough for some reason (a
# common reason is that a Pub/Sub client can't consume messages as fast as the
# publisher can produce them).
#
# The limit can be set differently for the three different classes of clients:
#
# normal -> normal clients including MONITOR clients
# slave  -> slave clients
# pubsub -> clients subscribed to at least one pubsub channel or pattern
#
# The syntax of every client-output-buffer-limit directive is the following:
#
# client-output-buffer-limit <class> <hard limit> <soft limit> <soft seconds>
#
# A client is immediately disconnected once the hard limit is reached, or if
# the soft limit is reached and remains reached for the specified number of
# seconds (continuously).
# So for instance if the hard limit is 32 megabytes and the soft limit is
# 16 megabytes / 10 seconds, the client will get disconnected immediately
# if the size of the output buffers reach 32 megabytes, but will also get
# disconnected if the client reaches 16 megabytes and continuously overcomes
# the limit for 10 seconds.
#
# By default normal clients are not limited because they don't receive data
# without asking (in a push way), but just after a request, so only
# asynchronous clients may create a scenario where data is requested faster
# than it can read.
#
# Instead there is a default limit for pubsub and slave clients, since
# subscribers and slaves receive data in a push fashion.
#
# Both the hard or the soft limit can be disabled by setting them to zero.
client-output-buffer-limit normal 0 0 0
client-output-buffer-limit slave 256mb 64mb 60
client-output-buffer-limit pubsub 32mb 8mb 60

# Redis calls an internal function to perform many background tasks, like
# closing connections of clients in timeot, purging expired keys that are
# never requested, and so forth.
#
# Not all tasks are perforemd with the same frequency, but Redis checks for
# tasks to perform according to the specified "hz" value.
#
# By default "hz" is set to 10. Raising the value will use more CPU when
# Redis is idle, but at the same time will make Redis more responsive when
# there are many keys expiring at the same time, and timeouts may be
# handled with more precision.
#
# The range is between 1 and 500, however a value over 100 is usually not
# a good idea. Most users should use the default of 10 and raise this up to
# 100 only in environments where very low latency is required.
hz 10

# When a child rewrites the AOF file, if the following option is enabled
# the file will be fsync-ed every 32 MB of data generated. This is useful
# in order to commit the file to the disk more incrementally and avoid
# big latency spikes.
aof-rewrite-incremental-fsync yes

################################## INCLUDES ###################################

# Include one or more other config files here.  This is useful if you
# have a standard template that goes to all Redis server but also need
# to customize a few per-server settings.  Include files can include
# other files, so use this wisely.
#
# include /path/to/local.conf
# include /path/to/other.conf"""

    write_file(redis_path, "redis.conf", conf_temp, redis_password=redis_password)


def create_python_project(root_path, compose_path, project_name, image_author):
    """
    创建python项目
    :param root_path: 项目的根目录
    :param compose_path: compose目录
    :param project_name: 项目名
    :param image_author: 镜像作者名
    :return:
    """

    project_path = os.path.join(root_path, project_name)

    init_dir(os.path.join(compose_path, "uwsgi"))
    init_dir(project_path)

    docker_file_temp = r"""# 生成脚本地址: https://www.cnblogs.com/lczmx/p/15589605.html
# {project_name}/Dockerfile
# 建立 python3.9 环境
FROM python:3.9

# 镜像作者
MAINTAINER {image_author}

# 设置 python 环境变量
ENV PYTHONUNBUFFERED 1

COPY pip.conf /root/.pip/pip.conf

# 创建 myproject 文件夹
RUN mkdir -p /var/www/html/{project_name}

# 将 myproject 文件夹为工作目录
WORKDIR /var/www/html/{project_name}

# 将当前目录加入到工作目录中(. 表示当前目录)
ADD . /var/www/html/{project_name}

# 更新pip版本
RUN /usr/local/bin/python -m pip install --upgrade pip


# 利用 pip 安装依赖
RUN pip install -r requirements.txt
# 安装UWSGI
RUN pip install uwsgi

# 去除windows系统编辑文件中多余的\r回车空格
RUN sed -i 's/\r//' ./start.sh

# start.sh是初始化脚本文件
# 给start.sh可执行权限

RUN chmod +x ./start.sh
CMD ["--ini", "uwsgi.ini"]
ENTRYPOINT ["uwsgi"]
"""
    pip_conf_temp = r"""[global]
index-url = https://pypi.tuna.tsinghua.edu.cn/simple
[install]
trusted-host = https://pypi.tuna.tsinghua.edu.cn"""
    start_shell_temp = r"""#!/bin/bash
# 从第一行到最后一行分别表示:
# 1. 收集静态文件到根目录,
# 2. 生成数据库可执行文件,
# 3. 根据数据库可执行文件来修改数据库
# 4. 用 uwsgi启动 django 服务
# !!!!!!!! 可以替换成自己的初始化脚本
python manage.py collectstatic --noinput&&
python manage.py makemigrations&&
python manage.py migrate&&
"""
    ini_temp = r"""; 生成脚本地址: https://www.cnblogs.com/lczmx/p/15589605.html
[uwsgi]
project = {project_name}
uid = www-data
gid = www-data
base = /var/www/html

chdir = %(base)/%(project)
module = %(project).wsgi:application
master = True
processes = 2

socket = 0.0.0.0:8000
chown-socket = %(uid):www-data
chmod-socket = 664

vacuum = True
max-requests = 5000

pidfile = /tmp/%(project)-master.pid
"""
    requirements_temp = """生成脚本地址: https://www.cnblogs.com/lczmx/p/15589605.html

请执行:
命令行中:
pip freeze > requirements.txt
或在python repl中:
import pip
pip.main(["freeze"])
然后粘贴到requirements.txt
"""

    write_file(project_path, "Dockerfile", docker_file_temp, project_name=project_name, image_author=image_author)
    write_file(project_path, "pip.conf", pip_conf_temp)
    write_file(project_path, "start.sh", start_shell_temp)
    write_file(project_path, "uwsgi.ini", ini_temp, project_name=project_name)
    write_file(project_path, "requirements.txt", requirements_temp)


def main():
    # 默认配置
    default_mysql_root_password = "root!@3456"  # mysql默认根密码
    default_mysql_user_username = "lczmx"  # mysql默认普通用户名
    default_mysql_user_password = "lczmx!@3456"  # mysql默认普通用户密码
    default_redis_password = "redis!@3456"  # redis默认普通用户密码
    default_host_nginx_http_port = "80"  # Nginx宿主机http默认端口
    default_host_nginx_https_port = "443"  # Nginx宿主机http默认端口

    # 防止IDE标黄
    mysql_root_password = ""
    mysql_user_username = ""
    mysql_user_password = ""
    redis_password = ""
    host_nginx_http_port = ""
    host_nginx_https_port = ""
    while True:
        project_name = input("请输入项目名\n>>>").strip()
        if not project_name:
            continue
        mysql_root_password = input(f"请输入MYSQL根密码, 默认: {default_mysql_root_password}\n>>>").strip()
        if not mysql_root_password:
            mysql_root_password = default_mysql_root_password

        mysql_user_username = input(f"请输入MYSQL普通用户的用户名, 默认: {default_mysql_user_username}\n>>>").strip()
        if not mysql_user_username:
            mysql_user_username = default_mysql_user_username

        mysql_user_password = input(f"请输入MYSQL普通用户的密码, 默认: {default_mysql_user_password}\n>>>").strip()
        if not mysql_user_password:
            mysql_user_password = default_mysql_user_password

        redis_password = input(f"请输入Redis的密码, 默认: {default_redis_password}\n>>>").strip()
        if not redis_password:
            redis_password = default_redis_password

        host_nginx_http_port = input(f"请输入Nginx在宿主机的http端口, 默认: {default_host_nginx_http_port}\n>>>").strip()
        if not host_nginx_http_port:
            host_nginx_http_port = default_host_nginx_http_port

        host_nginx_https_port = input(f"请输入Nginx在宿主机的https端口, 默认: {default_host_nginx_https_port}\n>>>").strip()
        if not host_nginx_https_port:
            host_nginx_https_port = default_host_nginx_https_port
        break

    # 初始化&创建项目文件夹
    init_dir(project_name)
    os.chdir(project_name)
    root_path = os.getcwd()
    compose_path = os.path.join(root_path, "compose")
    init_dir(compose_path)

    # 写入docker-compose.yaml
    create_dc(root_path, project_name, mysql_root_password, host_nginx_http_port, host_nginx_https_port)

    # 写入mysql即配置文件
    create_db(compose_path, project_name, mysql_user_username, mysql_user_password)

    # 写入nginx
    create_nginx(compose_path, project_name)

    # 写入redis
    create_redis(compose_path, redis_password)
    # 写入项目配置
    image_author = getpass.getuser()  # Dockerfile的作者名, 默认当前系统用户名
    create_python_project(root_path, compose_path, project_name, image_author)
    logger.info("+" * 60)
    logger.info(f"已成功创建项目: {project_name}")
    logger.info(f"MYSQL根用户密码: {mysql_root_password}")
    logger.info(f"自定义MYSQL的用户名: {mysql_user_username}")
    logger.info(f"自定义MYSQL的密码: {mysql_user_password}")
    logger.info(f"Redis密码: {redis_password}")
    logger.info("+" * 60)
    time.sleep(1)
    is_save = input("是否将密码等配置保存到文件? (Y or N)\n>>>").strip().lower()
    if is_save in ["y", "yes"]:
        logger.info("保存中...")
        bak_content = """项目: {project_name}"
MYSQL根用户密码: {mysql_root_password}
自定义MYSQL的用户名: {mysql_user_username}
自定义MYSQL的密码: {mysql_user_password}
Redis密码: {redis_password}
        """
        write_file(root_path, "bak.txt", bak_content, project_name=project_name,
                   mysql_root_password=mysql_root_password, mysql_user_username=mysql_user_username,
                   mysql_user_password=mysql_user_password,
                   redis_password=redis_password)
        logger.info(f"已经保存到: {os.path.join(root_path, 'bak.txt')}")
    logger.info("生成脚本地址: https://www.cnblogs.com/lczmx/p/15589605.html")


main()

posted @ 2021-11-22 17:52  403·Forbidden  阅读(92)  评论(0编辑  收藏  举报