The Atlas is a site housing The Observatory, the master's thesis work of Alexander Simoes. This Observatory is a tool that allows users to quickly compose a visual narrative about countries and the products they exchange.
The observatory provides access to bilateral trade data for roughly 200 countries, 50 years and 1000 different products of the SITC4 revision 2 classification. The source of the data we are using is:
1962 - 2000
The Center for International Data from Robert Feenstra
2001 - 2009
The Observatory will run in all modern browsers so long as they have Javascript turned on and have full support for SVG graphics. This includes the latest versions of Firefox, Chrome (Chromium), Safari (WebKit), Opera and IE.
Note: Internet Explorer versions 8 and below will not work as they do not have SVG support built in.
Adding the Observatory to computer via virtualenv
-
Clone from github (this will create an oec folder in the current directory)
git clone https://github.com/alexandersimoes/oec.git
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Create the virtual environment
mkvirtualenv oec
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Activate this newly created environment
workon oec
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Install the required Python libraries
pip install -r requirements.txt
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Create a MySQL database on your local machine
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Import the latest dump of the database from atlas.media.mit.edu/static/db/
mysql -u username -p -h localhost DB_NAME < oec_xxxx-xx-xx.sql
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Be sure to create the following local environment variables
export OEC_SECRET_KEY=some_s3cret_k3y export OEC_DB_USER=my_db_username export OEC_DB_PW=my_db_password export OEC_DB_HOST=localhost export OEC_DB_NAME=oec * export CACHE_DIR=/home/ * only necessary if using filesystem caching
-
Updating translations (if something is changed)
pybabel extract -F babel.cfg -o messages.pot oec --no-location --omit-header --no-wrap pybabel update -i messages.pot -d oec/translations --no-location --omit-header --no-wrap pybabel compile -d oec/translations
#Deploying to a linux server
###Step 1: Install virtual environments and pip
$ sudo apt-get install python-virtualenv python-pip git libmysqlclient-dev python-dev
###Step 2: Create virtual environment
$ virtualenv oec
$ source oec/bin/activate
###Step 3: Pull in app from github
$ git clone https://github.com/alexandersimoes/oec.git -b v3.0 โ-single-branch
###Step 4: Install python requirements
$ pip install -r requirements.txt
###Step 5: Install gunicorn
$ pip install gunicorn
###Step 6: Set environment vars
export OEC_SECRET_KEY=yet_another_supers3cret_k35y
export OEC_DB_USER=oec_user
export OEC_DB_PW=oec_pw
export OEC_DB_HOST=localhost
export OEC_DB_NAME=oec
export CACHE_DIR=/home/macro/sites/oec/cache
export OEC_PRODUCTION=1
###Step 7: Make cache directory
$ mkdir /home/macro/sites/oec/cache
###Step 7: Create nginx config
$ sudo nano /etc/nginx/sites-available/oec.conf
server {
listen 80;
server_name 104.239.233.5;
root /home/macro/sites/oec;
access_log /home/macro/sites/oec/logs/access.log;
error_log /home/macro/sites/oec/logs/error.log;
location / {
proxy_set_header X-Forward-For $proxy_add_x_forwarded_for;
proxy_set_header Host $http_host;
proxy_redirect off;
if (!-f $request_filename) {
proxy_pass http://127.0.0.1:8000;
break;
}
}
}
$ sudo ln -s /etc/nginx/sites-available/oec.conf /etc/nginx/sites-enabled/
###Step 8: Create dir for logs
$ mkdir /home/macro/sites/oec/logs
###Step 9: Check nginx config
$ sudo nginx -t
###Step 10: Using supervisor to autostart/manage gunicorn process
sudo apt-get install supervisor
###Step 11: Create supervisor config
$ sudo nano /etc/supervisor/conf.d/oec.conf
[program:oec]
command = /home/macro/venv/oec/bin/gunicorn oec:app
directory = /home/macro/sites/oec
user = macro
stdout_logfile = /home/macro/sites/oec/logs/gunicorn.log
redirect_stderr = true
environment=PATH="/home/macro/venv/oec/bin", OEC_SECRET_KEY="oec-secret-key", OEC_DB_USER="oec_user", OEC_DB_PW="oec_pw", OEC_DB_HOST="localhost", OEC_DB_NAME="oec", CACHE_DIR="/home/macro/sites/oec/cache", OEC_PRODUCTION="1"
###Step 13: Start up supervisor
$ sudo supervisorctl reread
$ sudo supervisorctl update
$ sudo supervisorctl status oec