📅 2024-02-01 — Session: Integrated Google Cloud SQL and App Engine Deployment
🕒 05:40–06:20
🏷️ Labels: Google Cloud, App Engine, Database, Security, Openai Api
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary aim of this session was to integrate a Python application with Google Cloud SQL and deploy it on Google App Engine, ensuring best practices in security and configuration management.
Key Activities
- Database Class Update: Updated the Database class to connect with Google Cloud SQL, focusing on setting up environment variables and adhering to security best practices.
- Cloud SQL Instance Setup: Configured a Cloud SQL instance, including database creation and user management, with a focus on security.
- Application Deployment: Deployed a Python application on Google App Engine using Google Cloud CLI, involving configuration file setup and authentication.
- Environment Variables Configuration: Added database environment variables to the app.yaml file for secure deployment.
- Evaluator Class Planning: Planned enhancements for the Evaluator class using OpenAI API, focusing on integration questions.
Achievements
- Successfully updated and reviewed the Database class for secure Google Cloud SQL integration.
- Completed the deployment of a Python application on Google App Engine with proper configuration and security measures.
- Conducted a detailed comparison of GPT models for educational software, aiding in future API integration decisions.
Pending Tasks
- Further integration of the OpenAI API with the Evaluator class, focusing on model selection and error handling strategies.