Docker: Update project setup using docker (#1646)

README.md

@@ -61,7 +61,7 @@ You can also use Docker Compose to run all the components of EvalAI together. Th
 3. Build and run the Docker containers. This might take a while. You should be able to access EvalAI at `localhost:8888`.
 
     ```
-    docker-compose -f docker-compose.dev.yml up -d --build
+    docker-compose up --build
     ```
 
 ### Using Virtual Environment

docker-compose.yml

@@ -1,27 +1,53 @@
 version: "2"
 services:
+
+  db:
+    image: postgres
+    ports:
+      - "5432:5432"
+
+  rabbitmq:
+    image: rabbitmq
+    hostname: rabbitmq
+    ports:
+      - "5672:5672"
+      - "15672:15672"  # here, we can access rabbitmq management plugin
+
   django:
     container_name: django
     hostname: django
-    build: 
+    env_file:
+      - docker/dev.env
+    build:
       context: ./
-      dockerfile: docker/prod/django/Dockerfile
-    command: /code/docker/prod/django/container-start.sh
+      dockerfile: docker/dev/django/Dockerfile
     ports:
-        - "8000:8000"
-    volumes:
-      - .:/code
-  node-nginx:
-    container_name: node-nginx
-    hostname: node-nginx
+      - "8000:8000"
+    command: ["./docker/wait-for-it.sh", "db:5432", "--", "sh", "/code/docker/dev/django/container-start.sh"]
+    depends_on:
+      - "db"
+
+  submission-worker:
+    env_file:
+      - docker/dev.env
     build:
       context: ./
-      dockerfile: docker/prod/node-nginx/Dockerfile
-    command: /code/docker/prod/node-nginx/container-start.sh
+      dockerfile: docker/dev/rabbitmq/Dockerfile
+    command: ["./docker/wait-for-it.sh", "django:8000", "--", "python", "scripts/workers/submission_worker.py"]
+    depends_on:
+      - "django"
+
+  nodejs:
+    container_name: nodejs
+    hostname: nodejs
+    build:
+      context: ./
+      dockerfile: docker/dev/nodejs/Dockerfile
     environment:
-      NODE_ENV: production
+      NODE_ENV: development
     ports:
-        - "80:80"
-        - "8080:8080"
-    depends_on:
-      - django
+      - '8888:8888'
+    volumes:
+      - .:/code
+      - /code/node_modules
+      - /code/bower_components

docker/dev/nodejs/Dockerfile

@@ -1,16 +1,12 @@
-FROM ubuntu:14.04
-MAINTAINER CloudCV
+FROM node:8.11.1
+MAINTAINER EvalAI Team <[email protected]>
 
 RUN apt-get update -qq && apt-get install -y build-essential git curl libfontconfig
-RUN apt-get install nodejs-legacy -y
-RUN apt-get install npm -y
-RUN apt-get install -y ruby-dev
-RUN gem install sass -v 3.2.19
+RUN apt-get update
 
 RUN mkdir /code
 
 # Add dependencies
-ADD ./frontend /code/frontend
 ADD ./package.json /code
 ADD ./bower.json /code
 ADD ./gulpfile.js /code
@@ -19,12 +15,8 @@ ADD ./karma.conf.js /code
 
 WORKDIR /code
 
-# Bypass the ssl check
-RUN npm config set strict-ssl false
-
 # Install Prerequisites
-RUN npm install bower -g
-RUN npm install gulp -g
+RUN npm install -g bower gulp
 
 RUN npm link gulp
 
@@ -34,7 +26,8 @@ RUN n stable
 RUN npm install
 RUN bower install --allow-root
 
-# Set the command to run on startup
+ADD . /code
+
 CMD ["gulp", "dev:runserver"]
 
 EXPOSE 8888

docs/source/setup.md

@@ -15,7 +15,7 @@ We recommend setting up EvalAI using Docker since there are only two steps invol
 2. Build and run the Docker containers. This might take a while. You should be able to access EvalAI at `localhost:8888`.
 
     ```
-    docker-compose -f docker-compose.dev.yml up -d --build
+    docker-compose up --build
     ```
 
 ## Ubuntu Installation Instructions