AMS is a Web Mapping GIS application, which integrates with REST and OGC web services that provide spatial data on deforestation of Brazil Amazon rainforest obtained by satellites. In this way, the application provides visualization of the areas that are being deforested in different spatial resolutions and periods. In addition, the application provides graphs and reports to help analyze the data.

• Ubuntu >= 20.04
• Python >= 3.8.5
• PostgreSQL >= 13 & PostGIS >= 3
• GeoServer >= 2.19

sudo apt -y install vim bash-completion wget
wget --quiet -O - https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add -
echo "deb [arch=amd64] http://apt.postgresql.org/pub/repos/apt/ `lsb_release -cs`-pgdg main" | sudo tee /etc/apt/sources.list.d/pgdg.list
sudo apt update
sudo apt install postgresql-13-postgis-3
sudo passwd postgres
[[postgres]]
su postgres
psql -c "ALTER USER postgres WITH PASSWORD 'postgres'" -d postgres
exit
sudo -u postgres createuser --superuser $USER
sudo -u postgres psql
\password $USER #note: $USER here needs to be written# 

cd ~
mkdir -p ~/ams/git
cd ams
git clone https://github.com/$GitHub_User/ams.git ams #note: it must be your fork for development
sudo apt-get install python3-venv
python3 -m venv venv
source ~/ams/venv/bin/activate
pip install -r ~/ams/git/ams/requirements.txt
createdb -h localhost -p 5432 -U postgres DETER-B
pg_restore --host "localhost" --port "5432" --username "postgres" --dbname "DETER-B" --verbose  git/ams/data/deter-b-2019-2021.backup
cd ~/ams/git/ams/tests
export PYTHONPATH=~/ams/git/ams
pytest -v --cov
flake8 ..
python ~/ams/git/ams/scripts/startup.py

cd ~
wget http://sourceforge.net/projects/geoserver/files/GeoServer/2.19.0/geoserver-2.19.0-bin.zip
sudo apt install unzip
unzip geoserver-2.19.0-bin.zip -d geoserver
sudo apt install openjdk-11-jre-headless
echo "export GEOSERVER_HOME=/home/$USER*/geoserver" >> ~/.profile #note: $USER here needs to be written#
source ~/.profile
~/geoserver/bin/startup.sh &

http://[geoserverip]:8080/geoserver/web

Name: ams
Click Save

Note: A store is a data repository, a Postgres database f.e.
Workspace: ams
Data Source Name: AMS
host: locallhost (or another valid Postgres server IP)
port: 5432
database: AMS
schema: public
user: postgres
passwd: postgres

Click Save

In Add layer from choose ams:AMS
Click in Publish to publish a table in the list that appears below.
Publish the following tables:

csAmz_150km, csAmz_150km_risk_indicators
csAmz_300km, csAmz_300km_risk_indicators 
amz_municipalities, amz_municipalities_risk_indicators 
amz_states, amz_states_risk_indicators

Note: Before that, check if the functions that are shown
in ~/git/ams/geoserver/sqlviews folder exists in AMS database.
If they don't, you should create it.

In Add layer from choose ams:AMS
Click Configure a new SQL view...
View Name: csAmz_150km_view

SQL statement: get the corresponding (by name) SQL statement
in ~/git/ams/geoserver/sqlviews folder.
Note: remove comments and any other text than the SQL itself.

Click Guess parameters from SQL link
Copy the values for Default value and Validation regular expression
from the original SQL statement comments.\ Check checkbox Get geometry type and SRID
In Atributes, click Refresh
Click Save

In the next form:
In Bounding Boxes\Native Bounding Box, click Compute from data
In Bounding Boxes\Lat/Lon Bounding Box, click Compute from native bounds
Click Save

You must create the other views found in ~/git/ams/geoserver/sqlviews folder.
The view names are the same as the file names, replacing hyphens with underscores.

Create a file .env within ~/git/ams/tests whith following content:

export FLASK_APP=~/ams/git/ams/webapp/main.py 
export FLASK_DEBUG=1
export PYTHONPATH=~/ams/git/ams
source ~/git/ams/venv/bin/activate

Then

cd ~/ams/git/ams/tests
source .env
flask run