UPT Distance Module

Table of contents

• Description
• How To Use
• References
• Author Info

Description

This project evaluates Euclidean distances.

Main Technologies Used

• Django
• Celery
• PostgreSQL

How To Use

This tool does not provide an user interface, so all comunication with the tool is done via REST interfaces.

The general operation of the tools is as follows:

1. A study area must be created
2. Then Minimum Mapping Units have to be attached to the study area; this data will be used as the source layer
3. All the target features have to be attached to the study area
4. Finally the tool will evaluate the shortest euclidean distance among the Minimum Mapping Units and the target features

All the previous steps can only be done by using the user interface provided by the UPT Server Extension.

Installation

Disclaimer: This tool has only been tested on Ubuntu Server 18.04

To proceed with the installation

Create PostGIS database

1. Install the database server with the following command sudo apt install postgresql-10 postgresql-10-postgis-3
2. Connect to to your database server with the following command sudo su postgres && psql
3. Create a data base with the following command create database upt;
4. Create a user with the following command create user upt with password '1234567890' SUPERUSER CREATEDB LOGIN;; the username and pasword can be adjusted as needed.
5. Connect to the database with the following command \c upt;
6. Create the PostGIS extension in the database with the following command create extension postgis

Install the Tool

1. It's necessary to install the virtualenv package in the server that will host the applicaton. To do so, execute the following command sudo apt-get install virtualenv

2. Create a Python 3 virtual environment by executing the following command virtualenv -p python3 ~/python3. This will create the directory python3 in the user's home directory

3. After the creation of the virtual environment has finished, the virtual environment must be enabled; this can be done by excecuting the following command source ~/python3/bin/activate

4. Once the virtual environment has been enabled, the following python packages need to be installed. Use the command pip install NAME_OF_THE_PACKAGE

   • numpy
   • psycopg2_binary
   • sqlalchemy
   • redis
   • Celery
   • python-decouple
   • django
   • djangorestframework
   • django-filter
   • django-filters
   • django-celery-results

5. Once all packages have been installed, clone this project repository into the server. Move to the user's home and execute the following command git clone https://github.com/UPTechMX/UPT-Distance-Module, this will create a directory named UPT-Distance-Module in the user's home.

6. Move to the newly created directory with the following command cd ~/UPT-Distance-Module

7. Inside the ST directory, create a .env file; use the .env.example as a template

8. Set the appropiate credentials to the newly created .env file

9. Don't forget to set a secure SECRET_KEY in the same file

Create the database structure for the tool

1. Execute the command python manage.py makemigrations plst
2. Execute the command python manage.py migrate plst
3. Run the script UPT-Distance-Module/plst/indicators/AmenitiesDistance/st_indicator_mmu_amenities_distance.sql to adde the stored procedure for distance evaluation.

Start the application

1. Start the application with the command python manage.py runserver 90
2. Finally execute the command celery -A ST worker --loglevel=error to start the Celery worker

After following the previous steps, the application should be accesible through port 90. If the server has a firewall, set up the firewall to allow incomming connections to port 90.

Aditional settings

Edit the dictionary PARALLEL instantiated in the file ~/UPT-Distance-Module/ST/settings to set the values that best fits the server resources, use the attribute MAX_THREADS to set the maximun cores available in the server.

Since the tool does not use any login mechanism, to prevent undesired access to the tool use the variable ALLOWED_HOSTS to only allow the UPT Server Extension to access the application. The variable is available in the file ~/UPT-Distance-Module/ST/settings.

By default all logs are stored under the directory /tmp/ of the server, to change the logs location edit the file ~/UPT-Distance-Module/plst/logging_config.py and set the appropiate value 'filename': '/tmp/debug-st.log'.

It's possible to install the application and the database in different servers. To achieve this, it's necessary to appropriately set up the database connections.

References

For detailed infomation about Djagno please visit https://www.djangoproject.com/

For detailed infomation about Celery please visit http://www.celeryproject.org/

For detailed infomation about how to use Celery with Django please visit http://docs.celeryproject.org/en/latest/django/index.html

License

• SPDX-License-Identifier: MIT
• Copyright (c) 2020 CAPSUS S.C.

Author Info

CAPSUS S.C. Capital Sustentable (CAPSUS) is a mission-oriented consulting firm, based in Mexico City, specialized in sustainability issues in the energy, environmental and urban sectors. Since 2009, the firm has executed projects that promote urban sustainable development both in Mexico and abroad. CAPSUS aims at increasing the performance of our clients by designing and promoting public policies, business practices and social behaviors that facilitate sustainable development, where energy efficiency, environmental protection, social integration, and economic development are paramount. The services offered by CAPSUS are focused on empowering best practices in sustainability through different approaches. A bottom-up approach is taken with urban and environmental management projects and a top-down angle with research, development, and public policy implementation projects. This two-end approach ensures not only the implementation of the projects but also their impact on a bigger scale and the possibility of replication.