PatCat (Pattern Catalog) is a web catalog of business patterns applied in real cases of e-government.

The system is a Django web application that is deployed in AWS lambdas using Zappa. The application contains an SQLite in-memory database that obtains its data from a JSON file. The file is stored in an S3 bucket, and through the use of signals, it updates the file when a change in the database state occurs.

This architecture was chosen in the context of an application that will be used mostly for queries and will have a single administrator at any one time. This application requires a small database with public data.

• Cost: Based on the expected usage, the application can run indefinitely on AWS's free layer.
• Modularity: The data persistence mechanism can be modified at any time by removing the memoryDB application and configuring the new database from the settings file.
• Scalability: Because the application is deployed in AWS lambdas, it can scale automatically to provide services to an unlimited number of users.

• Performance: Loading data into the memory database adds processing overhead that can decrease application response time.
• Data scalability: The persistence mechanism is not suitable for large amounts of data.

This section that allows an administrator to register all the data of the pattern catalog

This section allows a researcher to search for business patterns that fit the problem they are dealing with.

Manages the application models and their modification by an administrator.

This module allows the application to manage a database in memory, making a single query to the real database, which is a file stored in an AWS S3

sudo apt update
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt install python3.9
sudo apt install python3.9-venv

python3.9 -m venv venv

pip install -r requirements.txt

python manage.py graph_models -o docs/patterns_models.png

source init.sh

python manage.py collectstatic

zappa init
zappa deploy
zappa update