RuntimeError: This event loop is already running
1 · The lesson
readWhat this error means
You called asyncio.run() (or loop.run_until_complete()) from code that is already running inside an event loop. asyncio loops do not nest: you cannot start a second loop on the same thread while the first loop is still running.
It is the opposite failure to "Event loop is closed". There the loop had finished, but here it never stopped.
When you see it
Almost always in a Jupyter or Colab notebook, because the notebook is itself an async application:
Traceback (most recent call last): File "<ipython-input-3>", line 4, in <module> asyncio.run(fetch_all(urls)) RuntimeError: asyncio.run() cannot be called from a running event loop
Or from inside a request handler that is already async:
RuntimeError: This event loop is already runningWhy it happens
asyncio.run() is designed to be the entry point of a program. It creates a loop, runs one coroutine to completion, and closes the loop. Calling it from inside a running loop asks for a second loop on a thread that already has one.
A notebook cell looks like a plain script, and that is why this error is surprising. But a cell is not a plain script: IPython runs an event loop so that await works at the top level of a cell.
How to fix it
In a notebook, use await instead. Top-level await works in a cell because a loop is already running:
results = await fetch_all(urls) # no asyncio.run() needed
In an async function, await the coroutine rather than starting a loop for it:
async def handler(request): data = await fetch_all(urls) # not asyncio.run(fetch_all(urls)) return data
setup added so this can run · defines fetch_all, urls
# Lightweight mock for objects whose attributes/methods aren't critical class _AutoMock: def __init__(self, name='mock'): self._name = name def __getattr__(self, k): return _AutoMock(self._name + '.' + k) def __call__(self, *a, **kw): print('-> ' + self._name + '() called') return _AutoMock(self._name + '()') def __repr__(self): return '<mock ' + self._name + '>' def __str__(self): return '<mock ' + self._name + '>' def __bool__(self): return True def __iter__(self): return iter([]) def __len__(self): return 0 def __getitem__(self, k): return _AutoMock(self._name + '[...]') def __setitem__(self, k, v): pass def __enter__(self): return self def __exit__(self, *a): return False async def __aenter__(self): return self async def __aexit__(self, *a): return False def __add__(self, o): return self def __radd__(self, o): return self def __sub__(self, o): return self def __mul__(self, o): return self def __rmul__(self, o): return self def __truediv__(self, o): return self def __eq__(self, o): return isinstance(o, _AutoMock) def __hash__(self): return hash(self._name) def __lt__(self, o): return True def __le__(self, o): return True def __gt__(self, o): return False def __ge__(self, o): return False def __mro_entries__(self, bases): return (object,) def fetch_all(*_a, **_kw): print('-> fetch_all() called') return _AutoMock('fetch_all()') urls = _AutoMock('urls')
To call async code from a synchronous function that is called by code already running in a loop, run that function in another thread that has no loop of its own:
import asyncio def sync_wrapper(urls): return asyncio.run(fetch_all(urls)) # fine on a thread with no loop async def handler(): return await asyncio.to_thread(sync_wrapper, urls)
setup added so this can run · defines fetch_all
# Lightweight mock for objects whose attributes/methods aren't critical class _AutoMock: def __init__(self, name='mock'): self._name = name def __getattr__(self, k): return _AutoMock(self._name + '.' + k) def __call__(self, *a, **kw): print('-> ' + self._name + '() called') return _AutoMock(self._name + '()') def __repr__(self): return '<mock ' + self._name + '>' def __str__(self): return '<mock ' + self._name + '>' def __bool__(self): return True def __iter__(self): return iter([]) def __len__(self): return 0 def __getitem__(self, k): return _AutoMock(self._name + '[...]') def __setitem__(self, k, v): pass def __enter__(self): return self def __exit__(self, *a): return False async def __aenter__(self): return self async def __aexit__(self, *a): return False def __add__(self, o): return self def __radd__(self, o): return self def __sub__(self, o): return self def __mul__(self, o): return self def __rmul__(self, o): return self def __truediv__(self, o): return self def __eq__(self, o): return isinstance(o, _AutoMock) def __hash__(self): return hash(self._name) def __lt__(self, o): return True def __le__(self, o): return True def __gt__(self, o): return False def __ge__(self, o): return False def __mro_entries__(self, bases): return (object,) def fetch_all(*_a, **_kw): print('-> fetch_all() called') return _AutoMock('fetch_all()')
A cleaner fix is usually to make the caller async, so you don't have to switch between sync and async code.
Be careful with nest_asyncio. It patches asyncio to allow nested loops, and the error will stop:
import nest_asyncio nest_asyncio.apply()
It is fine to use in a notebook. It is a bad idea in a service: it changes how the loop schedules work, and the bugs it causes depend on timing and are hard to reproduce.
When you'd see this in real code
- Pasting a script into a notebook and running it unchanged, where the
asyncio.run(main())at the bottom is exactly the line that breaks. - A synchronous library function called from an async handler that reaches for
asyncio.run()internally. - A test calling
asyncio.run()inside a suite whose plugin already provides a loop. - Any code where a sync layer sits between two async layers. This is the most common cause.
Related errors
- RuntimeError: Event loop is closed: the loop finished before the work did.
See Also
- All Python errors: the full index, by type and by when it happens.
- Async: where the sync/async boundary belongs.
- FastAPI: async
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