Make Docker great again

Dockerfile

@@ -3,7 +3,6 @@ COPY requirements.txt /requirements.txt
 RUN python -m pip install -U pip
 RUN python -m pip install -r requirements.txt
 RUN apt-get update && apt-get install -y postgresql postgresql-contrib
-COPY .env /code/.env
 COPY manage.py /code/manage.py
 COPY jarbas /code/jarbas
 WORKDIR /code

Dockerfile-elm

@@ -1,10 +1,7 @@
 FROM node:6.9.1
 
-RUN curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | sudo apt-key add -
-RUN echo "deb https://dl.yarnpkg.com/debian/ stable main" | sudo tee /etc/apt/sources.list.d/yarn.list
-RUN sudo apt-get update
-RUN sudo apt-get install yarn
-
+RUN npm install yarn
+RUN ln -s /node_modules/yarn/bin/yarn.js /usr/bin/yarn
 WORKDIR /code
 
 COPY yarn.lock yarn.lock
@@ -14,4 +11,4 @@ COPY gulpfile.js gulpfile.js
 RUN yarn install --pure-lockfile
 
 COPY jarbas jarbas
-CMD yarn assets
+CMD ["yarn", "assets"]

Makefile

@@ -1,5 +1,5 @@
 run.jarbas:
-	docker-compose up -d --build
+	docker-compose up -d
 	docker-compose run --rm jarbas python manage.py ceapdatasets
 	docker-compose run --rm jarbas python manage.py migrate
 

README.md

@@ -139,7 +139,8 @@ cp contrib/.env.sample .env
 
 ### Using Docker
 
-If you have [Docker](https://docs.docker.com/engine/installation/) (with [Docker Compose](https://docs.docker.com/compose/install/)) and make, just run:
+#### Requirements
+[Docker](https://docs.docker.com/engine/installation/) (with [Docker Compose](https://docs.docker.com/compose/install/)), just run:
 
 ```console
 make run.devel
@@ -148,7 +149,7 @@ make run.devel
 or
 
 ```console
-docker-compose up -d --build
+docker-compose up -d
 docker-compose run --rm jarbas python manage.py migrate
 docker-compose run --rm jarbas python manage.py ceapdatasets
 docker-compose run --rm jarbas python manage.py collectstatic --no-input
@@ -170,6 +171,10 @@ docker-compose run --rm jarbas python manage.py irregularities contrib/sample-da
 
 You can get the datasets running [Rosie](https://github.com/datasciencebr/rosie) or directly with the [toolbox](https://github.com/datasciencebr/rosie).
 
+To add a fresh new reimbursements.xz brewed by [Rosie](https://github.com/datasciencebr/rosie) or from [toolbox](https://github.com/datasciencebr/rosie), you just need to have this file inside project folder and give the path at the end of the command, as bellow:
+```
+docker-compose run --rm jarbas python manage.py reimbursements PATH_TO_YOUR_FRESH_NEW_REIMBURSEMENTS.xz
+```
 
 ### Local install
 
@@ -218,6 +223,8 @@ Copy `contrib/.env.sample` as `.env` in the project's root folder and adjust you
 * `GOOGLE_ANALYTICS` (_str_) Google Analytics tracking code (e.g. `UA-123456-7`)
 * `GOOGLE_STREET_VIEW_API_KEY` (_str_) Google Street View Image API key
 
+To use GOOGLE_STREET_VIEW_API_KEY just export it in a local environment variable, so when you run Jarbas it will get from the local environment variable.
+
 #### Migrations
 
 Once you're done with requirements, dependencies and settings, create the basic database structure:

docker-compose.yml

@@ -1,18 +1,23 @@
 version: '2'
 services:
   jarbas:
-    build:
-      context: .
-      dockerfile: Dockerfile
+    image: datasciencebr/jarbas-backend
     volumes:
-       - "staticfiles:/code/staticfiles"
+       - "assets:/code/staticfiles"
        - "./:/code"
+       - ".env:/code/.env"
     environment:
        - SECRET_KEY=lets-rock
        - DATABASE_URL=postgres://jarbas:mysecretpassword@db/jarbas
        - CACHE_BACKEND=django.core.cache.backends.memcached.MemcachedCache
        - CACHE_LOCATION=cache:11211
        - DEBUG=True
+       - ALLOWED_HOSTS=localhost,127.0.0.1
+       - AMAZON_S3_BUCKET=serenata-de-amor-data
+       - AMAZON_S3_REGION=s3-sa-east-1
+       - AMAZON_S3_CEAPTRANSLATION_DATE=2016-08-08
+       - GOOGLE_STREET_VIEW_API_KEY
+
     depends_on:
        - elm
        - db
@@ -24,18 +29,15 @@ services:
           - apps
 
   elm:
-    build:
-      context: .
-      dockerfile: Dockerfile-elm
+    image: datasciencebr/jarbas-frontend
     volumes:
       - "./:/code"
       - "/code/node_modules"
       - "assets:/code/jarbas/frontend/static"
     command: [yarn, watch]
+
   nginx:
-    build:
-      context: .
-      dockerfile: Dockerfile-nginx
+    image: datasciencebr/jarbas-server
     volumes:
       - "assets:/opt/jarbas/staticfiles"
     ports:
@@ -51,6 +53,8 @@ services:
       - POSTGRES_PASSWORD=mysecretpassword
       - POSTGRES_USER=jarbas
       - POSTGRES_DB=jarbas
+    ports:
+      - "5432:5432"
     networks:
         - backend
     volumes: