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aioresponses 0.7.6
Aioresponses is a helper to mock/fake web requests in python aiohttp package.
For requests module there are a lot of packages that help us with testing (eg. httpretty, responses, requests-mock).
When it comes to testing asynchronous HTTP requests it is a bit harder (at least at the beginning).
The purpose of this package is to provide an easy way to test asynchronous HTTP requests.
Installing
$ pip install aioresponses
Supported versions
Python 3.7+
aiohttp>=3.3.0,<4.0.0
Usage
To mock out HTTP request use aioresponses as a method decorator or as a context manager.
Response status code, body, payload (for json response) and headers can be mocked.
Supported HTTP methods: GET, POST, PUT, PATCH, DELETE and OPTIONS.
import aiohttp
import asyncio
from aioresponses import aioresponses
@aioresponses()
def test_request(mocked):
loop = asyncio.get_event_loop()
mocked.get('http://example.com', status=200, body='test')
session = aiohttp.ClientSession()
resp = loop.run_until_complete(session.get('http://example.com'))
assert resp.status == 200
mocked.assert_called_once_with('http://example.com')
for convenience use payload argument to mock out json response. Example below.
as a context manager
import asyncio
import aiohttp
from aioresponses import aioresponses
def test_ctx():
loop = asyncio.get_event_loop()
session = aiohttp.ClientSession()
with aioresponses() as m:
m.get('http://test.example.com', payload=dict(foo='bar'))
resp = loop.run_until_complete(session.get('http://test.example.com'))
data = loop.run_until_complete(resp.json())
assert dict(foo='bar') == data
m.assert_called_once_with('http://test.example.com')
aioresponses allows to mock out any HTTP headers
import asyncio
import aiohttp
from aioresponses import aioresponses
@aioresponses()
def test_http_headers(m):
loop = asyncio.get_event_loop()
session = aiohttp.ClientSession()
m.post(
'http://example.com',
payload=dict(),
headers=dict(connection='keep-alive'),
)
resp = loop.run_until_complete(session.post('http://example.com'))
# note that we pass 'connection' but get 'Connection' (capitalized)
# under the neath `multidict` is used to work with HTTP headers
assert resp.headers['Connection'] == 'keep-alive'
m.assert_called_once_with('http://example.com', method='POST')
allows to register different responses for the same url
import asyncio
import aiohttp
from aioresponses import aioresponses
@aioresponses()
def test_multiple_responses(m):
loop = asyncio.get_event_loop()
session = aiohttp.ClientSession()
m.get('http://example.com', status=500)
m.get('http://example.com', status=200)
resp1 = loop.run_until_complete(session.get('http://example.com'))
resp2 = loop.run_until_complete(session.get('http://example.com'))
assert resp1.status == 500
assert resp2.status == 200
Repeat response for the same url
E.g. for cases you want to test retrying mechanisms
import asyncio
import aiohttp
from aioresponses import aioresponses
@aioresponses()
def test_multiple_responses(m):
loop = asyncio.get_event_loop()
session = aiohttp.ClientSession()
m.get('http://example.com', status=500, repeat=True)
m.get('http://example.com', status=200) # will not take effect
resp1 = loop.run_until_complete(session.get('http://example.com'))
resp2 = loop.run_until_complete(session.get('http://example.com'))
assert resp1.status == 500
assert resp2.status == 500
match URLs with regular expressions
import asyncio
import aiohttp
import re
from aioresponses import aioresponses
@aioresponses()
def test_regexp_example(m):
loop = asyncio.get_event_loop()
session = aiohttp.ClientSession()
pattern = re.compile(r'^http://example\.com/api\?foo=.*$')
m.get(pattern, status=200)
resp = loop.run_until_complete(session.get('http://example.com/api?foo=bar'))
assert resp.status == 200
allows to make redirects responses
import asyncio
import aiohttp
from aioresponses import aioresponses
@aioresponses()
def test_redirect_example(m):
loop = asyncio.get_event_loop()
session = aiohttp.ClientSession()
# absolute urls are supported
m.get(
'http://example.com/',
headers={'Location': 'http://another.com/'},
status=307
)
resp = loop.run_until_complete(
session.get('http://example.com/', allow_redirects=True)
)
assert resp.url == 'http://another.com/'
# and also relative
m.get(
'http://example.com/',
headers={'Location': '/test'},
status=307
)
resp = loop.run_until_complete(
session.get('http://example.com/', allow_redirects=True)
)
assert resp.url == 'http://example.com/test'
allows to passthrough to a specified list of servers
import asyncio
import aiohttp
from aioresponses import aioresponses
@aioresponses(passthrough=['http://backend'])
def test_passthrough(m, test_client):
session = aiohttp.ClientSession()
# this will actually perform a request
resp = loop.run_until_complete(session.get('http://backend/api'))
aioresponses allows to throw an exception
import asyncio
from aiohttp import ClientSession
from aiohttp.http_exceptions import HttpProcessingError
from aioresponses import aioresponses
@aioresponses()
def test_how_to_throw_an_exception(m, test_client):
loop = asyncio.get_event_loop()
session = ClientSession()
m.get('http://example.com/api', exception=HttpProcessingError('test'))
# calling
# loop.run_until_complete(session.get('http://example.com/api'))
# will throw an exception.
aioresponses allows to use callbacks to provide dynamic responses
import asyncio
import aiohttp
from aioresponses import CallbackResult, aioresponses
def callback(url, **kwargs):
return CallbackResult(status=418)
@aioresponses()
def test_callback(m, test_client):
loop = asyncio.get_event_loop()
session = ClientSession()
m.get('http://example.com', callback=callback)
resp = loop.run_until_complete(session.get('http://example.com'))
assert resp.status == 418
aioresponses can be used in a pytest fixture
import pytest
from aioresponses import aioresponses
@pytest.fixture
def mock_aioresponse():
with aioresponses() as m:
yield m
Features
Easy to mock out HTTP requests made by aiohttp.ClientSession
License
Free software: MIT license
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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