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fastapi streamingresponse not streaming: a deep dive with troubleshooting and solutions

fastapi's `streamingresponse` is a powerful tool for returning data that is generated dynamically, potentially in chunks, as it becomes available. this is especially useful for large datasets, real-time events, and long-running processes where you don't want to hold the entire result in memory before sending it to the client. however, it's a common pitfall that the `streamingresponse` might not actually stream the data as expected, and instead buffer the entire response before sending it. this tutorial will dissect the reasons behind this, provide debugging strategies, and offer solutions to ensure true streaming with a generator function.

*understanding the fundamentals*

before diving into the problems, let's reiterate the core concepts.

**`streamingresponse`**: a fastapi `response` object that accepts a generator or iterator as its content. it sends data to the client in chunks as the generator yields values.
**generator function**: a special type of function in python that uses the `yield` keyword to return a value without exiting the function. when the function is called, it returns a generator object, which can be iterated over to produce a sequence of values.
**chunking**: the process of dividing a large piece of data into smaller, manageable pieces for transmission. streaming relies on chunking to send data incrementally.
**buffering**: when data is accumulated in memory before being sent. this defeats the purpose of streaming.
**asynchronous programming (async/await)**: fastapi is built on top of `asyncio`, which provides asynchronous programming capabilities. asynchronous functions allow you to perform long-running operations without blocking the main thread.

*why `streamingresponse` might not stream*

here are the common causes that lead to a `streamingresponse` buffering instead of truly streaming data:

1. **missing `await`**: if your gen ...

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