Getting Started

This is an example Python application built with Flask (a microservice framework) that can be deployed on Catalyst Appsail.

Prerequisites

To deploy this application, you must satisfy the following requirements:

• Catalyst Account
• Catalyst CLI installed and logged in
• Knowledge of Catalyst Datastore and ZCQL
• Python 3.9 installed on your local system
• Knowledge of PyPI and pip
• Basic understanding of git

Components

This application will use the following Catalyst components:

1. Serverless -> Appsail : PaaS offering from Catalyst for all your compute needs.
2. CloudScale -> Datastore : A relational data storage component for storing table data.

Working

1. The user will input credentials, which will be checked against the credentials stored in Catalyst Datastore.
2. Once authenticated, the user can upload a CSV in the UI, which will then be visualized in the UI.

Usage

To deploy this application to your Catalyst account, follow these steps:

1. Download the code using the following command:

   git clone https://github.com/rengarajan01/catalyst-python-webinar.git
   

2. Once downloaded, navigate to the appsail-python directory and create a virtual environment with the following command:

   python -m venv .venv
   

3. After creating the virtual environment, activate it with the following command:

   source .venv/bin/activate
   

4. Install the dependencies with the following command:

   pip install -r requirements.txt
   

5. Once the dependencies are installed, go to the Catalyst console, create a new project, and navigate to CloudScale -> Datastore -> Create Table.
6. Create a table named "Users" with the columns "USERNAME" (data type: text) and "PASSWORD" (data type: Encrypted Text).
7. Go to Data View and insert a new record for the username and password.
8. In your local environment, initialize the Catalyst project inside your appsail-python directory. Once Appsail is initialized with Appsail and Python 3.9 as the runtime, replace the value for the key command inside app-config.json with:

   python app.py
   

9. You can now serve the application locally with the catalyst serve command or deploy the application with the catalyst deploy command.
10. Use this file for your testing.

Live demo

Demo Credentials: Username: demo Password: demo