Explore TaskFlow Backend Structure
Start TaskFlow's FastAPI server, inspect live API responses, and trace an authenticated request through the application.
Lab Overview
🛠Lab from the Platform Engineering Bootcamp. Used in Week 6.
Bring your TaskFlow FastAPI backend to life in development mode, use curl and jq to inspect its health and status responses, then investigate the running application's routes, data, service, and authentication boundaries. You will use that operational understanding to containerize the same application in Week 7.
This is an application-awareness lab, not a Python programming lab. You are not expected to write or memorize backend code. Focus on what the application needs to start, the boundaries it exposes, and the data, configuration, and dependencies you will need to package, deploy, observe, and troubleshoot. The implementation details are included as useful context if you want to explore further.
What You'll Learn
Reconnect a fresh lab VM to a learner-owned TaskFlow fork
Start the FastAPI development server and inspect live health and status endpoints with curl and jq
Locate the FastAPI entrypoint and explain how routers, CORS, and the startup hook assemble the app
Distinguish backend dependencies from runtime environment configuration
Trace the models, schemas, service, and route layers of a layered FastAPI backend
Follow one authenticated "create task" request from route through dependency, service, model, and database
Explain how this local development workflow prepares the application for Week 7 containerization
Prerequisites
Complete the Week 5 TaskFlow fork and CI work
Python Reading Comprehension lesson
Technologies Covered
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