Image for the course project of SOA at Tsinghua University
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This image contains a demo for the SOA course at Tsinghua University.
It consists of a front-end (with static files likes js and css) and a back-end (Nginx + django)
Because we use WebSocket and HTTP simultaneously, there is a special configuration for the Nginx proxy.
An example is shown below.
If our container's port 8010 maps to host's port 3000, this example will transfer requests of /apps/aihanced-video-generator/ to our containers.
（经过我们的测试，配置nginx转发/apps/aihanced-video-generator/时候，需要单独为websocket的地址/apps/aihanced-video-generator/ws/做一些设置，具体的设置如下面的例子。这个例子中假设运行docker时，把主机的3000端口绑定到容器的8010端口）
server {
listen 80;
server_name soa.liangyan.fun; # 这是主机80端口监听的域名或者ip
include /etc/nginx/mime.types;
charset utf-8;
client_max_body_size 50M;
location /apps/aihanced-video-generator/ {
proxy_pass http://localhost:3000/; # 所有的普通http转发给3000端口
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Host $server_name;
}
# 这个配置很重要，对于websocket需要有特殊的转发设置
location /apps/aihanced-video-generator/ws/ {
proxy_pass http://localhost:3000/ws/; # websocket的转发需要额外设置，尤其是下面的前三个
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "upgrade";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Host $server_name;
}
}
The front-end will send requests to the relative path for robustness.
wudaoURL_PREFIX为挂载域名下的uri（下面的例子中会挂载到hostname:3000/apps/aihanced-video-generator下，是不加-e时的默认值）docker run --name ai -d -p 3000:8010 -e URL_PREFIX=/apps/aihanced-video-generator jialianghuang/soa:wudao-v2.1 # bind host:3000 to container's 8010
docker run --name demo -d -p 8000:8010 jialianghuang/soa:v1.2
It has to map host port 8000 to the container's port 8010, because our front-end will send requests to localhost:8000.
We use a task queue to organize our application.
To configure the number of processes to use, here is an example:
docker run --name demo -d -p 8000:8010 -e MAX_TASK_SIZE=2 -e QUEUE_CONSUMER=4 -e FRONT_CONSUMER=2 jialianghuang/soa:v1.2
It sets the maximum number of queued tasks as 2 (do not including running tasks), queue consumers (worker or running processed) as 4, and the number of processes to respond to the front-end as 2.
This image also exposes the administration interface that is provided by Django.
admin.admin123http://localhost:8000/django-rq # You can see the information about the task queue from this url.
Content type
Image
Digest
Size
532.5 MB
Last updated
over 5 years ago
docker pull jialianghuang/soa:wudao-v2.1