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FastAPIframework~30 mins

Streaming responses in FastAPI - Mini Project: Build & Apply

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Streaming Responses with FastAPI
📖 Scenario: You are building a simple web API that sends data to users in small parts instead of all at once. This is useful when sending large files or live updates.
🎯 Goal: Create a FastAPI app that streams a sequence of messages to the client one by one.
📋 What You'll Learn
Create a FastAPI app instance
Define a generator function that yields messages
Create a GET endpoint that returns a streaming response using the generator
Set the correct media type for streaming text data
💡 Why This Matters
🌍 Real World
Streaming responses are used in real-time data feeds, large file downloads, or live event updates where sending data in chunks improves performance and user experience.
💼 Career
Understanding streaming responses is important for backend developers building efficient APIs that handle large or continuous data without blocking the server or client.
Progress0 / 4 steps
1
Create the FastAPI app
Write code to create a FastAPI app instance called app.
FastAPI
Need a hint?

Use FastAPI() to create the app instance and assign it to app.

2
Define a generator function to yield messages
Define a function called message_stream that yields three strings: 'Hello', 'from', and 'FastAPI' one by one.
FastAPI
Need a hint?

Use yield to send each message one at a time inside the function.

3
Create a GET endpoint that streams the messages
Add a GET endpoint at path /stream using @app.get("/stream"). The endpoint function called stream_messages should return a StreamingResponse that streams data from message_stream.
FastAPI
Need a hint?

Use StreamingResponse from fastapi.responses and set media_type to "text/plain".

4
Complete the streaming response setup
Ensure the StreamingResponse correctly streams the generator output with the media type text/plain in the stream_messages function.
FastAPI
Need a hint?

Make sure the StreamingResponse uses message_stream() and media_type="text/plain".