這篇文章帶給大家的內容是關於Docker部署Nginx Flask Mongo的應用介紹（附程式碼），有一定的參考價值，有需要的朋友可以參考一下，希望對你有所幫助。
使用Docker部署Nginx Flask Mongo的應用
Nginx做為伺服器，Mongo為資料庫支持，Flask為Python語言的Web框架，利用Docker的容器特性，可以簡單地部署在linux伺服器上
專案準備
專案主要目錄如下
__ project-name |__ docker-file |__ ningx |__ Dockerfile |__ conf |__ nginx.conf |__ flask |__ Dockerfile |__ requirements.txt |__ mongo |__ Dockerfile |__ setup.sh |__ docker-compose.yml |__ src |__ app |__ ... |__ run.py
簡要說明
docker-file目錄為docker部署的設定檔
src目錄為flask應用的python程式碼
Docker的詳細配置
docker-compose配置
version: '2.2' services: mongo: build: ./mongo volumes: - "./mongo/db:/data/db" restart: always ports: - "27017:27017" environment: MONGO_INITDB_ROOT_USERNAME: root MONGO_INITDB_ROOT_PASSWORD: 123456 flask: build: ./flask links: - mongo ports: - "5000:5000" expose: - "5000" volumes: - ../src:/home/web nginx: build: ./nginx links: - flask volumes: - "./nginx/log:/var/log/nginx" - "../:/usr/share/nginx/html" ports: - "80:80" - "8080:8080" - "443:443" restart: always
MongoDB的配置
/mongo/Dockerfile的內容如下
FROM mongo:3.6 # 设置时区 ENV TZ=Asia/Shanghai RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone # 设置工作目录 ENV WORKDIR /usr/local/work ENV AUTO_RUN_DIR /docker-entrypoint-initdb.d ENV INSTALL_MONGO_SHELL setup.sh RUN mkdir -p $WORKDIR # 复制数据库的初始化命令 COPY ./$INSTALL_MONGO_SHELL $AUTO_RUN_DIR/ RUN chmod +x $AUTO_RUN_DIR/$INSTALL_MONGO_SHELL
/mongo/setup.sh的內容如下
該檔案的目的是，啟動MongoDB後建立一個密碼為test的使用者test，並賦予它資料庫test的讀寫操作
#!/bin/bash
mongo <<EOF
use admin;
db.auth('root', '123456');
use dmx_aluminum;
db.createUser({user:'test',pwd:'test',roles:[{role:'readWrite',db:'test'}]});
db.createCollection("user");
EOF/flask/Dockerfile的內容如下
FROM python:3.6 # 设置时区 ENV TZ=Asia/Shanghai RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone # 设置工作区 RUN mkdir -p /home/web WORKDIR /home/web # 添加依赖 ADD requirements.txt /home/web/requirements.txt RUN pip3 install -i https://pypi.douban.com/simple/ -r requirements.txt # 使用gunicorn启动应用 CMD gunicorn -w 4 -b 0.0.0.0:5000 run:app
/src/app/run.py的程式碼
#此處註解了調試用的app.run()，發佈時用gunicorn啟動
from app import create_app
app = create_app('default')
app.debug=False
# if __name__ == '__main__':
# app.run()/nginx/Dockerfile的內容如下
FROM nginx:1.14 # 设置时区 ENV TZ=Asia/Shanghai RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone # 复制配置 COPY conf/nginx.conf /etc/nginx/nginx.conf
/nignx/conf /nginx.conf的內容如下
user nginx;
worker_processes 1;
error_log /var/log/nginx/error.log warn;
pid /var/run/nginx.pid;
events {
worker_connections 1024;
}
http {
include /etc/nginx/mime.types;
default_type application/octet-stream;
log_format main '$remote_addr - $remote_user [$time_local] "$request" '
'$status $body_bytes_sent "$http_referer" '
'"$http_user_agent" "$http_x_forwarded_for"';
access_log /var/log/nginx/access.log main;
sendfile on;
#tcp_nopush on;
keepalive_timeout 65;
# 开启gzip
gzip on;
gzip_min_length 1k;
gzip_buffers 4 16k;
#gzip_http_version 1.0;
gzip_comp_level 1;
gzip_types text/plain application/x-javascript text/css application/xml text/javascript application/x-httpd-php image/jpeg image/gif image/png;
gzip_vary off;
gzip_disable "MSIE [1-6]\.";
server {
listen 80;
server_name localhost;
keepalive_timeout 5;
root /usr/share/nginx/html;
location /static/ {
alias /usr/share/nginx/html/src/app/static/;
}
location / {
# checks for static file, if not found proxy to app
try_files $uri @flask_app;
}
location @flask_app {
proxy_pass http://192.168.0.2:5000; # 发布在阿里云上，应填写内网IP
proxy_redirect off;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header Host $http_host;
proxy_set_header X-Real-IP $remote_addr;
#proxy_buffers 8 32k;
#proxy_buffer_size 64k;
}
}
}cd docker-flie
ADD setup.sh /data/setup.sh RUN chmod +x /data/setup.sh CMD ["/data/setup.sh"]
MONGODB_SETTINGS = {
'db': 'test',
'host': 'mongo', # 127.0.0.1 host地址一定要写你配置的--link的名字
'username': 'test',
'password': 'test',
'port': 27017
}3 nginx中配置使用的代理模式，其中執行flask應用的IP ，應為內網IP
本篇文章到這裡就已經全部結束了，更多其他精彩內容可以關注PHP中文網的mongodb視頻教程欄目！
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以上是Docker部署Nginx+Flask+Mongo的應用介紹（附程式碼）的詳細內容。更多資訊請關注PHP中文網其他相關文章！
