OverflowError: timeout value is too large

[TristanWYL]

I encountered the captioned error when running the following script, regardless python versions (3.8/3.7 were both tried).

from bravado.fido_client import FidoClient
from bravado.client import SwaggerClient

http_client = FidoClient()
client = SwaggerClient.from_url(
    'http://petstore.swagger.io/v2/swagger.json',
    http_client=http_client,
)
pet = client.pet.getPetById(petId=1).response().result

The trace stack:

Traceback (most recent call last):
File "C:/async_test.py", line 52, in
http_client=http_client,
File "C:\ProgramData\Anaconda3\envs\hft\lib\site-packages\bravado\client.py", line 98, in from_url
spec_dict = loader.load_spec(spec_url)
File "C:\ProgramData\Anaconda3\envs\hft\lib\site-packages\bravado\swagger_model.py", line 104, in load_spec
self.request_headers,
File "C:\ProgramData\Anaconda3\envs\hft\lib\site-packages\bravado\http_future.py", line 270, in result
incoming_response = self._get_incoming_response(timeout)
File "C:\ProgramData\Anaconda3\envs\hft\lib\site-packages\bravado\http_future.py", line 124, in wrapper
return func(self, *args, **kwargs)
File "C:\ProgramData\Anaconda3\envs\hft\lib\site-packages\bravado\http_future.py", line 291, in _get_incoming_response
inner_response = self.future.result(timeout=timeout)
File "C:\ProgramData\Anaconda3\envs\hft\lib\site-packages\bravado\fido_client.py", line 127, in result
return self._eventual_result.wait(timeout=timeout)
File "C:\ProgramData\Anaconda3\envs\hft\lib\site-packages\crochet_eventloop.py", line 239, in wait
result = self._result(timeout)
File "C:\ProgramData\Anaconda3\envs\hft\lib\site-packages\crochet_eventloop.py", line 197, in _result
self._result_set.wait(timeout)
File "C:\ProgramData\Anaconda3\envs\hft\lib\threading.py", line 552, in wait
signaled = self._cond.wait(timeout)
File "C:\ProgramData\Anaconda3\envs\hft\lib\threading.py", line 300, in wait
gotit = waiter.acquire(True, timeout)
OverflowError: timeout value is too large

Process finished with exit code 1

I need to use the async feature of this library, but how can I fix this issue? Please help!

[macisamuele]

@TristanWYL I'm unsure about the error as it is the first time I see something similar.

I've tried to reproduce your script on my laptop (MacOS) and I failed :(

Python 3.9.0 (default, Oct 19 2020, 00:46:30)
[Clang 11.0.3 (clang-1103.0.32.62)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> from bravado.fido_client import FidoClient
>>> from bravado.client import SwaggerClient
>>> client = SwaggerClient.from_url('http://petstore.swagger.io/v2/swagger.json', http_client=FidoClient())
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/maci/Desktop/venv39/lib/python3.9/site-packages/bravado/client.py", line 98, in from_url
    spec_dict = loader.load_spec(spec_url)
  File "/Users/maci/Desktop/venv39/lib/python3.9/site-packages/bravado/swagger_model.py", line 101, in load_spec
    response = request(
  File "/Users/maci/Desktop/venv39/lib/python3.9/site-packages/bravado/http_future.py", line 282, in result
    raise make_http_exception(response=incoming_response)
bravado.exception.HTTPFound: 302 b'Moved Temporarily'

according to the error seems that the fido client is reacting differently between different platforms.
NOTE: The FidoClient is a wrapper around https://github.com/Yelp/fido , so it might be worth asking in there.

Few notes that might help you workaround the issue:

• The spec link is an http link which redirects you to the https version, so maybe that can be an issue. I don't recall a direct way to have a FidoClient which accept redirects though :(

>>> try:
...   client = SwaggerClient.from_url('http://petstore.swagger.io/v2/swagger.json', http_client=FidoClient())
... except Exception as e:
...   print(e.response.headers)
...
{'Server': 'awselb/2.0', 'Date': 'Wed, 18 Nov 2020 19:18:23 GMT', 'Content-Type': 'text/html', 'Location': 'https://petstore.swagger.io:443/v2/swagger.json'}

• At the current state Python2 and 3.5 are deprecated, if you need an async client I would recommend using bravado-asyncio as it requires much less dependencies to install, is based on asyncio so more friendly on resource usage and is more compatible with the configurations of the RequestsClient.