When this application is deployed you will need to do some setup. These instructions are for an Ubuntu server running an nginx reverse proxy and gunicorn.
We distribute a requirements.txt file listing the things the application depends upon. pip install -r requirements.txt will install prerequisites.
You will also need the libpq-dev and python3-dev packages (required to build psycopg2).
We host images on S3, which allows for easy, access-controlled programmatic uploading.
You'll need to create an AWS account, if you don't already have one. Then, you'll need to create an S3 bucket, and remember its name. Finally, you'll need to create an IAM user, and create access credentials (an IAM access key and its corresponding secret) that you'll populate in the .env file on the server. Finally, you'll need to create an IAM policy and attach it to the IAM user, giving it permission to upload to that S3 bucket:
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "Stmt1486969693000",
"Effect": "Allow",
"Action": [
"s3:GetObject",
"s3:ListBucket",
"s3:PutObject",
"s3:PutObjectAcl"
],
"Resource": [
"arn:aws:s3:::bucketname",
"arn:aws:s3:::bucketname/*"
]
}
]
}
For the officer identification UI to work, you'll need to create a CORS policy for the S3 bucket used with OpenOversight. In the AWS UI, this is done by navigating to the listing of buckets, clicking on the name of your bucket, and choosing the Permissions tab, and then "CORS configuration". Since we're not doing anything fancier than making a web browser GET it, we can just use the default policy:
[
{
"AllowedOrigins": [
"*"
],
"AllowedMethods": [
"GET"
],
"MaxAgeSeconds": 3000,
"AllowedHeaders": [
"Authorizations"
]
}
]
If you don't click "Save" on that policy, however, the policy will not actually be applied.
The anonymity and security of your users is extremely important. Therefore we highly recommend using HTTPS on your entire application (you can use Let's Encrypt for free certificates) and you should test your application using the Tor Browser Bundle. Since nginx will run as a reverse proxy, you will need to add additional rules for the proxy headers to reach gunicorn. An example configuration is below but you should note that your relative paths will be different (especially the snippets/ files).
server {
listen 80 default_server;
listen [::]:80 default_server;
server_name <local information>;
return 301 https://$server_name$request_uri;
# Required by Let's Encrypt
location ~ /.well-known {
allow all;
}
# Do not log visitor information
access_log off;
}
server {
# SSL configuration
#
listen 443 ssl http2 default_server;
listen [::]:443 ssl http2 default_server;
include snippets/<local information>.conf;
include snippets/ssl-params.conf;
root /var/www/html;
access_log off;
index index.html index.htm index.nginx-debian.html;
location / {
# Gunicorn proxy pass rule
proxy_pass http://127.0.0.1:4000;
proxy_redirect off;
proxy_set_header Host $host;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_connect_timeout 300s;
proxy_read_timeout 300s;
client_max_body_size 20M;
}
}
You will want to run gunicorn in the background with multiple worker threads. You can instantiate gunicorn by running gunicorn -w 4 -b 127.0.0.1:4000 app:app & and then run ps -ef | grep gunicorn to see the running PIDs. Execute gunicorn out of the OpenOversight directory that has the app/ directory in it to test that the app comes up.
We configure the database by setting a .env file in the OpenOversight directory of the repository. A sample .env is:
SQLALCHEMY_DATABASE_URI="postgresql://openoversight:terriblepassword@localhost/openoversight-dev"
SECRET_KEY=terriblecsrftoken
S3_BUCKET_NAME=bucketname-in-the-account-you-created
AWS_ACCESS_KEY_ID=<access key from AWS>
AWS_SECRET_ACCESS_KEY=<secret key from AWS>
The parts of the database URI are the user, password, server, and database respectively used to connect to the application. The CSRF token should be a random string of reasonable length. 'terriblecsrftoken' is, of course, a terrible CSRF token. For more details about the S3 and AWS settings, see above. Please raise an issue on Github if you have any questions about the process.
dc builddc up -ddc run --rm web python ../create_db.pydc run --rm web flask make-admin-userdc run --rm web flask add-department "Seattle Police Department" "SPD"dc run --rm web flask bulk-add-officers /data/init_data.csvdc run --rm web npm run-script build
Import from spd-lookup data:
import pandas as pd
df = pd.read_csv("SPD_Roster.csv")
xdf = df.rename(columns={"title": "job_title", "badge": "star_no"})
xdf = xdf[["star_no", "first_name", "last_name", "job_title"]]
xdf["department_id"] = 1
xdf.to_csv("./data/init_data.csv", index=False)You can write a simple systemd unit file to launch OpenOversight on boot. We defined ours in /etc/systemd/system/openoversight.service. You should create the proper usernames and groups that are defined in the unit file since this allows you to drop privileges on boot. This unit file was adopted from this DigitalOcean guide. More details can be found in CONTRIB.md.
[Unit]
Description=Gunicorn instance to serve OpenOversight
After=network.target
[Service]
User=nginx
Group=nginx
WorkingDirectory=/home/nginx/oovirtenv/OpenOversight/OpenOversight
Environment="PATH=/home/nginx/oovirtenv/bin"
ExecStart=/home/nginx/oovirtenv/bin/gunicorn -w 4 -b 127.0.0.1:4000 --timeout 90 app:app
[Install]
WantedBy=multi-user.target
We use Python Fabric to manage our deployments and database backups. A sample fabric file is found in fabric.py. The usage is fab host command, so for example fab staging deploy would deploy our latest commits to the staging server.
If you're running into installation problems, please open an issue or email us info AT lucyparsonslabs DOT com.