A utility library for mocking out the requests
Python library.
Note
Responses requires Python 3.7 or newer, and requests >= 2.22.0
Contents
- Table of Contents
- Installing
- Deprecations and Migration Path
- BETA Features
- Basics
- Response Parameters
- Exception as Response body
- Matching Requests
- Response Registry
- Dynamic Responses
- Integration with unit test frameworks
- Assertions on declared responses
- Assert Request Call Count
- Multiple Responses
- URL Redirection
- Validate
Retry
mechanism - Using a callback to modify the response
- Passing through real requests
- Viewing/Modifying registered responses
- Coroutines and Multithreading
- Contributing
pip install responses
Here you will find a list of deprecated functionality and a migration path for each. Please ensure to update your code according to the guidance.
Deprecated Functionality | Deprecated in Version | Migration Path |
---|---|---|
responses.json_params_matcher |
0.14.0 | responses.matchers.json_params_matcher |
responses.urlencoded_params_matcher |
0.14.0 | responses.matchers.urlencoded_params_matcher |
stream argument in Response and CallbackResponse |
0.15.0 | Use stream argument in request directly. |
match_querystring argument in Response and CallbackResponse . |
0.17.0 | Use responses.matchers.query_param_matcher or responses.matchers.query_string_matcher |
responses.assert_all_requests_are_fired , responses.passthru_prefixes , responses.target |
0.20.0 | Use responses.mock.assert_all_requests_are_fired ,
responses.mock.passthru_prefixes , responses.mock.target instead. |
Below you can find a list of BETA features. Although we will try to keep the API backwards compatible with released version, we reserve the right to change these APIs before they are considered stable. Please share your feedback via GitHub Issues.
You can perform real requests to the server and responses
will automatically record the output to the
file. Recorded data is stored in toml format.
Apply @responses._recorder.record(file_path="out.toml")
decorator to any function where you perform
requests to record responses to out.toml
file.
Following code
import requests
from responses import _recorder
def another():
rsp = requests.get("https://httpstat.us/500")
rsp = requests.get("https://httpstat.us/202")
@_recorder.record(file_path="out.toml")
def test_recorder():
rsp = requests.get("https://httpstat.us/404")
rsp = requests.get("https://httpbin.org/status/wrong")
another()
will produce next output:
[[responses]]
[responses.response]
method = "GET"
url = "https://httpstat.us/404"
body = "404 Not Found"
status = 404
content_type = "text/plain"
auto_calculate_content_length = false
headers = "Content-Range: 1-100/100"
[[responses]]
[responses.response]
method = "GET"
url = "https://httpbin.org/status/wrong"
body = "Invalid status code"
status = 400
content_type = "text/plain"
auto_calculate_content_length = false
headers = "Content-Range: 1-100/100"
[[responses]]
[responses.response]
method = "GET"
url = "https://httpstat.us/500"
body = "500 Internal Server Error"
status = 500
content_type = "text/plain"
auto_calculate_content_length = false
headers = "Content-Range: 1-100/100"
[[responses]]
[responses.response]
method = "GET"
url = "https://httpstat.us/202"
body = "202 Accepted"
status = 202
content_type = "text/plain"
auto_calculate_content_length = false
headers = "Content-Range: 1-100/100"
You can populate your active registry from a toml
file with recorded responses.
(See Record Responses to files to understand how to obtain a file).
To do that you need to execute responses._add_from_file(file_path="out.toml")
within
an activated decorator or a context manager.
The following code example registers a patch
response, then all responses present in
out.toml
file and a post
response at the end.
import responses
@responses.activate
def run():
responses.patch("https://httpbin.org")
responses._add_from_file(file_path="out.toml")
responses.post("https://httpbin.org/form")
run()
The core of responses
comes from registering mock responses and covering test function
with responses.activate
decorator. responses
provides similar interface as requests
.
- responses.add(
Response
orResponse args
) - allows either to registerResponse
object or directly provide arguments ofResponse
object. See Response Parameters
import responses
import requests
@responses.activate
def test_simple():
# Register via 'Response' object
rsp1 = responses.Response(
method="PUT",
url="https://example.com",
)
responses.add(rsp1)
# register via direct arguments
responses.add(
responses.GET,
"https://twitter.com/api/1/foobar",
json={"error": "not found"},
status=404,
)
resp = requests.get("https://twitter.com/api/1/foobar")
resp2 = requests.put("https://example.com")
assert resp.json() == {"error": "not found"}
assert resp.status_code == 404
assert resp2.status_code == 200
assert resp2.request.method == "PUT"
If you attempt to fetch a url which doesn't hit a match, responses
will raise
a ConnectionError
:
import responses
import requests
from requests.exceptions import ConnectionError
@responses.activate
def test_simple():
with pytest.raises(ConnectionError):
requests.get("https://twitter.com/api/1/foobar")
Shortcuts provide a shorten version of responses.add()
where method argument is prefilled
- responses.delete(
Response args
) - register DELETE response - responses.get(
Response args
) - register GET response - responses.head(
Response args
) - register HEAD response - responses.options(
Response args
) - register OPTIONS response - responses.patch(
Response args
) - register PATCH response - responses.post(
Response args
) - register POST response - responses.put(
Response args
) - register PUT response
import responses
import requests
@responses.activate
def test_simple():
responses.get(
"https://twitter.com/api/1/foobar",
json={"type": "get"},
)
responses.post(
"https://twitter.com/api/1/foobar",
json={"type": "post"},
)
responses.patch(
"https://twitter.com/api/1/foobar",
json={"type": "patch"},
)
resp_get = requests.get("https://twitter.com/api/1/foobar")
resp_post = requests.post("https://twitter.com/api/1/foobar")
resp_patch = requests.patch("https://twitter.com/api/1/foobar")
assert resp_get.json() == {"type": "get"}
assert resp_post.json() == {"type": "post"}
assert resp_patch.json() == {"type": "patch"}
Instead of wrapping the whole function with decorator you can use a context manager.
import responses
import requests
def test_my_api():
with responses.RequestsMock() as rsps:
rsps.add(
responses.GET,
"https://twitter.com/api/1/foobar",
body="{}",
status=200,
content_type="application/json",
)
resp = requests.get("https://twitter.com/api/1/foobar")
assert resp.status_code == 200
# outside the context manager requests will hit the remote server
resp = requests.get("https://twitter.com/api/1/foobar")
resp.status_code == 404
The following attributes can be passed to a Response mock:
- method (
str
) - The HTTP method (GET, POST, etc).
- url (
str
orcompiled regular expression
) - The full resource URL.
- match_querystring (
bool
) DEPRECATED: Use
responses.matchers.query_param_matcher
orresponses.matchers.query_string_matcher
Include the query string when matching requests. Enabled by default if the response URL contains a query string, disabled if it doesn't or the URL is a regular expression.
- body (
str
orBufferedReader
orException
) - The response body. Read more Exception as Response body
- json
- A Python object representing the JSON response body. Automatically configures the appropriate Content-Type.
- status (
int
) - The HTTP status code.
- content_type (
content_type
) - Defaults to
text/plain
. - headers (
dict
) - Response headers.
- stream (
bool
) - DEPRECATED: use
stream
argument in request directly - auto_calculate_content_length (
bool
) - Disabled by default. Automatically calculates the length of a supplied string or JSON body.
- match (
tuple
) An iterable (
tuple
is recommended) of callbacks to match requests based on request attributes. Current module provides multiple matchers that you can use to match:- body contents in JSON format
- body contents in URL encoded data format
- request query parameters
- request query string (similar to query parameters but takes string as input)
- kwargs provided to request e.g.
stream
,verify
- 'multipart/form-data' content and headers in request
- request headers
- request fragment identifier
Alternatively user can create custom matcher. Read more Matching Requests
You can pass an Exception
as the body to trigger an error on the request:
import responses
import requests
@responses.activate
def test_simple():
responses.get("https://twitter.com/api/1/foobar", body=Exception("..."))
with pytest.raises(Exception):
requests.get("https://twitter.com/api/1/foobar")
When adding responses for endpoints that are sent request data you can add
matchers to ensure your code is sending the right parameters and provide
different responses based on the request body contents. responses
provides
matchers for JSON and URL-encoded request bodies.
import responses
import requests
from responses import matchers
@responses.activate
def test_calc_api():
responses.post(
url="https://calc.com/sum",
body="4",
match=[matchers.urlencoded_params_matcher({"left": "1", "right": "3"})],
)
requests.post("https://calc.com/sum", data={"left": 1, "right": 3})
Matching JSON encoded data can be done with matchers.json_params_matcher()
.
import responses
import requests
from responses import matchers
@responses.activate
def test_calc_api():
responses.post(
url="https://example.com/",
body="one",
match=[
matchers.json_params_matcher({"page": {"name": "first", "type": "json"}})
],
)
resp = requests.request(
"POST",
"https://example.com/",
headers={"Content-Type": "application/json"},
json={"page": {"name": "first", "type": "json"}},
)
You can use the matchers.query_param_matcher
function to match
against the params
request parameter. Just use the same dictionary as you
will use in params
argument in request
.
Note, do not use query parameters as part of the URL. Avoid using match_querystring
deprecated argument.
import responses
import requests
from responses import matchers
@responses.activate
def test_calc_api():
url = "https://example.com/test"
params = {"hello": "world", "I am": "a big test"}
responses.get(
url=url,
body="test",
match=[matchers.query_param_matcher(params)],
)
resp = requests.get(url, params=params)
constructed_url = r"https://example.com/test?I+am=a+big+test&hello=world"
assert resp.url == constructed_url
assert resp.request.url == constructed_url
assert resp.request.params == params
By default, matcher will validate that all parameters match strictly.
To validate that only parameters specified in the matcher are present in original request
use strict_match=False
.
As alternative, you can use query string value in matchers.query_string_matcher
to match
query parameters in your request
import requests
import responses
from responses import matchers
@responses.activate
def my_func():
responses.get(
"https://httpbin.org/get",
match=[matchers.query_string_matcher("didi=pro&test=1")],
)
resp = requests.get("https://httpbin.org/get", params={"test": 1, "didi": "pro"})
my_func()
To validate request arguments use the matchers.request_kwargs_matcher
function to match
against the request kwargs.
Only following arguments are supported: timeout
, verify
, proxies
, stream
, cert
.
Note, only arguments provided to matchers.request_kwargs_matcher
will be validated.
import responses
import requests
from responses import matchers
with responses.RequestsMock(assert_all_requests_are_fired=False) as rsps:
req_kwargs = {
"stream": True,
"verify": False,
}
rsps.add(
"GET",
"https://111.com",
match=[matchers.request_kwargs_matcher(req_kwargs)],
)
requests.get("https://111.com", stream=True)
# >>> Arguments don't match: {stream: True, verify: True} doesn't match {stream: True, verify: False}
To validate request body and headers for multipart/form-data
data you can use
matchers.multipart_matcher
. The data
, and files
parameters provided will be compared
to the request:
import requests
import responses
from responses.matchers import multipart_matcher
@responses.activate
def my_func():
req_data = {"some": "other", "data": "fields"}
req_files = {"file_name": b"Old World!"}
responses.post(
url="https://httpbin.org/post",
match=[multipart_matcher(req_files, data=req_data)],
)
resp = requests.post("https://httpbin.org/post", files={"file_name": b"New World!"})
my_func()
# >>> raises ConnectionError: multipart/form-data doesn't match. Request body differs.
To validate request URL fragment identifier you can use matchers.fragment_identifier_matcher
.
The matcher takes fragment string (everything after #
sign) as input for comparison:
import requests
import responses
from responses.matchers import fragment_identifier_matcher
@responses.activate
def run():
url = "https://example.com?ab=xy&zed=qwe#test=1&foo=bar"
responses.get(
url,
match=[fragment_identifier_matcher("test=1&foo=bar")],
body=b"test",
)
# two requests to check reversed order of fragment identifier
resp = requests.get("https://example.com?ab=xy&zed=qwe#test=1&foo=bar")
resp = requests.get("https://example.com?zed=qwe&ab=xy#foo=bar&test=1")
run()
When adding responses you can specify matchers to ensure that your code is sending the right headers and provide different responses based on the request headers.
import responses
import requests
from responses import matchers
@responses.activate
def test_content_type():
responses.get(
url="https://example.com/",
body="hello world",
match=[matchers.header_matcher({"Accept": "text/plain"})],
)
responses.get(
url="https://example.com/",
json={"content": "hello world"},
match=[matchers.header_matcher({"Accept": "application/json"})],
)
# request in reverse order to how they were added!
resp = requests.get("https://example.com/", headers={"Accept": "application/json"})
assert resp.json() == {"content": "hello world"}
resp = requests.get("https://example.com/", headers={"Accept": "text/plain"})
assert resp.text == "hello world"
Because requests
will send several standard headers in addition to what was
specified by your code, request headers that are additional to the ones
passed to the matcher are ignored by default. You can change this behaviour by
passing strict_match=True
to the matcher to ensure that only the headers
that you're expecting are sent and no others. Note that you will probably have
to use a PreparedRequest
in your code to ensure that requests
doesn't
include any additional headers.
import responses
import requests
from responses import matchers
@responses.activate
def test_content_type():
responses.get(
url="https://example.com/",
body="hello world",
match=[matchers.header_matcher({"Accept": "text/plain"}, strict_match=True)],
)
# this will fail because requests adds its own headers
with pytest.raises(ConnectionError):
requests.get("https://example.com/", headers={"Accept": "text/plain"})
# a prepared request where you overwrite the headers before sending will work
session = requests.Session()
prepped = session.prepare_request(
requests.Request(
method="GET",
url="https://example.com/",
)
)
prepped.headers = {"Accept": "text/plain"}
resp = session.send(prepped)
assert resp.text == "hello world"
If your application requires other encodings or different data validation you can build
your own matcher that returns Tuple[matches: bool, reason: str]
.
Where boolean represents True
or False
if the request parameters match and
the string is a reason in case of match failure. Your matcher can
expect a PreparedRequest
parameter to be provided by responses
.
Note, PreparedRequest
is customized and has additional attributes params
and req_kwargs
.
By default, responses
will search all registered Response
objects and
return a match. If only one Response
is registered, the registry is kept unchanged.
However, if multiple matches are found for the same request, then first match is returned and
removed from registry.
In some scenarios it is important to preserve the order of the requests and responses.
You can use registries.OrderedRegistry
to force all Response
objects to be dependent
on the insertion order and invocation index.
In following example we add multiple Response
objects that target the same URL. However,
you can see, that status code will depend on the invocation order.
import requests
import responses
from responses.registries import OrderedRegistry
@responses.activate(registry=OrderedRegistry)
def test_invocation_index():
responses.get(
"https://twitter.com/api/1/foobar",
json={"msg": "not found"},
status=404,
)
responses.get(
"https://twitter.com/api/1/foobar",
json={"msg": "OK"},
status=200,
)
responses.get(
"https://twitter.com/api/1/foobar",
json={"msg": "OK"},
status=200,
)
responses.get(
"https://twitter.com/api/1/foobar",
json={"msg": "not found"},
status=404,
)
resp = requests.get("https://twitter.com/api/1/foobar")
assert resp.status_code == 404
resp = requests.get("https://twitter.com/api/1/foobar")
assert resp.status_code == 200
resp = requests.get("https://twitter.com/api/1/foobar")
assert resp.status_code == 200
resp = requests.get("https://twitter.com/api/1/foobar")
assert resp.status_code == 404
Built-in registries
are suitable for most of use cases, but to handle special conditions, you can
implement custom registry which must follow interface of registries.FirstMatchRegistry
.
Redefining the find
method will allow you to create custom search logic and return
appropriate Response
Example that shows how to set custom registry
import responses
from responses import registries
class CustomRegistry(registries.FirstMatchRegistry):
pass
print("Before tests:", responses.mock.get_registry())
""" Before tests: <responses.registries.FirstMatchRegistry object> """
# using function decorator
@responses.activate(registry=CustomRegistry)
def run():
print("Within test:", responses.mock.get_registry())
""" Within test: <__main__.CustomRegistry object> """
run()
print("After test:", responses.mock.get_registry())
""" After test: <responses.registries.FirstMatchRegistry object> """
# using context manager
with responses.RequestsMock(registry=CustomRegistry) as rsps:
print("In context manager:", rsps.get_registry())
""" In context manager: <__main__.CustomRegistry object> """
print("After exit from context manager:", responses.mock.get_registry())
"""
After exit from context manager: <responses.registries.FirstMatchRegistry object>
"""
You can utilize callbacks to provide dynamic responses. The callback must return
a tuple of (status
, headers
, body
).
import json
import responses
import requests
@responses.activate
def test_calc_api():
def request_callback(request):
payload = json.loads(request.body)
resp_body = {"value": sum(payload["numbers"])}
headers = {"request-id": "728d329e-0e86-11e4-a748-0c84dc037c13"}
return (200, headers, json.dumps(resp_body))
responses.add_callback(
responses.POST,
"https://calc.com/sum",
callback=request_callback,
content_type="application/json",
)
resp = requests.post(
"https://calc.com/sum",
json.dumps({"numbers": [1, 2, 3]}),
headers={"content-type": "application/json"},
)
assert resp.json() == {"value": 6}
assert len(responses.calls) == 1
assert responses.calls[0].request.url == "https://calc.com/sum"
assert responses.calls[0].response.text == '{"value": 6}'
assert (
responses.calls[0].response.headers["request-id"]
== "728d329e-0e86-11e4-a748-0c84dc037c13"
)
You can also pass a compiled regex to add_callback
to match multiple urls:
import re, json
from functools import reduce
import responses
import requests
operators = {
"sum": lambda x, y: x + y,
"prod": lambda x, y: x * y,
"pow": lambda x, y: x**y,
}
@responses.activate
def test_regex_url():
def request_callback(request):
payload = json.loads(request.body)
operator_name = request.path_url[1:]
operator = operators[operator_name]
resp_body = {"value": reduce(operator, payload["numbers"])}
headers = {"request-id": "728d329e-0e86-11e4-a748-0c84dc037c13"}
return (200, headers, json.dumps(resp_body))
responses.add_callback(
responses.POST,
re.compile("https://calc.com/(sum|prod|pow|unsupported)"),
callback=request_callback,
content_type="application/json",
)
resp = requests.post(
"https://calc.com/prod",
json.dumps({"numbers": [2, 3, 4]}),
headers={"content-type": "application/json"},
)
assert resp.json() == {"value": 24}
test_regex_url()
If you want to pass extra keyword arguments to the callback function, for example when reusing
a callback function to give a slightly different result, you can use functools.partial
:
from functools import partial
def request_callback(request, id=None):
payload = json.loads(request.body)
resp_body = {"value": sum(payload["numbers"])}
headers = {"request-id": id}
return (200, headers, json.dumps(resp_body))
responses.add_callback(
responses.POST,
"https://calc.com/sum",
callback=partial(request_callback, id="728d329e-0e86-11e4-a748-0c84dc037c13"),
content_type="application/json",
)
@pytest.fixture
def mocked_responses():
with responses.RequestsMock() as rsps:
yield rsps
def test_api(mocked_responses):
mocked_responses.get(
"https://twitter.com/api/1/foobar",
body="{}",
status=200,
content_type="application/json",
)
resp = requests.get("https://twitter.com/api/1/foobar")
assert resp.status_code == 200
When run with unittest
tests, this can be used to set up some
generic class-level responses, that may be complemented by each test.
Similar interface could be applied in pytest
framework.
class TestMyApi(unittest.TestCase):
def setUp(self):
responses.get("https://example.com", body="within setup")
# here go other self.responses.add(...)
@responses.activate
def test_my_func(self):
responses.get(
"https://httpbin.org/get",
match=[matchers.query_param_matcher({"test": "1", "didi": "pro"})],
body="within test",
)
resp = requests.get("https://example.com")
resp2 = requests.get(
"https://httpbin.org/get", params={"test": "1", "didi": "pro"}
)
print(resp.text)
# >>> within setup
print(resp2.text)
# >>> within test
responses
has start
, stop
, reset
methods very analogous to
unittest.mock.patch.
These make it simpler to do requests mocking in setup
methods or where
you want to do multiple patches without nesting decorators or with statements.
class TestUnitTestPatchSetup:
def setup(self):
"""Creates ``RequestsMock`` instance and starts it."""
self.r_mock = responses.RequestsMock(assert_all_requests_are_fired=True)
self.r_mock.start()
# optionally some default responses could be registered
self.r_mock.get("https://example.com", status=505)
self.r_mock.put("https://example.com", status=506)
def teardown(self):
"""Stops and resets RequestsMock instance.
If ``assert_all_requests_are_fired`` is set to ``True``, will raise an error
if some requests were not processed.
"""
self.r_mock.stop()
self.r_mock.reset()
def test_function(self):
resp = requests.get("https://example.com")
assert resp.status_code == 505
resp = requests.put("https://example.com")
assert resp.status_code == 506
When used as a context manager, Responses will, by default, raise an assertion
error if a url was registered but not accessed. This can be disabled by passing
the assert_all_requests_are_fired
value:
import responses
import requests
def test_my_api():
with responses.RequestsMock(assert_all_requests_are_fired=False) as rsps:
rsps.add(
responses.GET,
"https://twitter.com/api/1/foobar",
body="{}",
status=200,
content_type="application/json",
)
Each Response
object has call_count
attribute that could be inspected
to check how many times each request was matched.
@responses.activate
def test_call_count_with_matcher():
rsp = responses.get(
"https://www.example.com",
match=(matchers.query_param_matcher({}),),
)
rsp2 = responses.get(
"https://www.example.com",
match=(matchers.query_param_matcher({"hello": "world"}),),
status=777,
)
requests.get("https://www.example.com")
resp1 = requests.get("https://www.example.com")
requests.get("https://www.example.com?hello=world")
resp2 = requests.get("https://www.example.com?hello=world")
assert resp1.status_code == 200
assert resp2.status_code == 777
assert rsp.call_count == 2
assert rsp2.call_count == 2
Assert that the request was called exactly n times.
import responses
import requests
@responses.activate
def test_assert_call_count():
responses.get("https://example.com")
requests.get("https://example.com")
assert responses.assert_call_count("https://example.com", 1) is True
requests.get("https://example.com")
with pytest.raises(AssertionError) as excinfo:
responses.assert_call_count("https://example.com", 1)
assert (
"Expected URL 'https://example.com' to be called 1 times. Called 2 times."
in str(excinfo.value)
)
@responses.activate
def test_assert_call_count_always_match_qs():
responses.get("https://www.example.com")
requests.get("https://www.example.com")
requests.get("https://www.example.com?hello=world")
# One call on each url, querystring is matched by default
responses.assert_call_count("https://www.example.com", 1) is True
responses.assert_call_count("https://www.example.com?hello=world", 1) is True
You can also add multiple responses for the same url:
import responses
import requests
@responses.activate
def test_my_api():
responses.get("https://twitter.com/api/1/foobar", status=500)
responses.get(
"https://twitter.com/api/1/foobar",
body="{}",
status=200,
content_type="application/json",
)
resp = requests.get("https://twitter.com/api/1/foobar")
assert resp.status_code == 500
resp = requests.get("https://twitter.com/api/1/foobar")
assert resp.status_code == 200
In the following example you can see how to create a redirection chain and add custom exception that will be raised in the execution chain and contain the history of redirects.
A -> 301 redirect -> B B -> 301 redirect -> C C -> connection issue
import pytest
import requests
import responses
@responses.activate
def test_redirect():
# create multiple Response objects where first two contain redirect headers
rsp1 = responses.Response(
responses.GET,
"https://example.com/1",
status=301,
headers={"Location": "https://example.com/2"},
)
rsp2 = responses.Response(
responses.GET,
"https://example.com/2",
status=301,
headers={"Location": "https://example.com/3"},
)
rsp3 = responses.Response(responses.GET, "https://example.com/3", status=200)
# register above generated Responses in ``response`` module
responses.add(rsp1)
responses.add(rsp2)
responses.add(rsp3)
# do the first request in order to generate genuine ``requests`` response
# this object will contain genuine attributes of the response, like ``history``
rsp = requests.get("https://example.com/1")
responses.calls.reset()
# customize exception with ``response`` attribute
my_error = requests.ConnectionError("custom error")
my_error.response = rsp
# update body of the 3rd response with Exception, this will be raised during execution
rsp3.body = my_error
with pytest.raises(requests.ConnectionError) as exc_info:
requests.get("https://example.com/1")
assert exc_info.value.args[0] == "custom error"
assert rsp1.url in exc_info.value.response.history[0].url
assert rsp2.url in exc_info.value.response.history[1].url
If you are using the Retry
features of urllib3
and want to cover scenarios that test your retry limits, you can test those scenarios with responses
as well. The best approach will be to use an Ordered Registry
import requests
import responses
from responses import registries
@responses.activate(registry=registries.OrderedRegistry)
def test_max_retries():
url = "https://example.com"
rsp1 = responses.get(url, body="Error", status=500)
rsp2 = responses.get(url, body="Error", status=500)
rsp3 = responses.get(url, body="Error", status=500)
rsp4 = responses.get(url, body="OK", status=200)
session = requests.Session()
adapter = requests.adapters.HTTPAdapter(
max_retries=Retry(
total=4,
backoff_factor=0.1,
status_forcelist=[500],
method_whitelist=["GET", "POST", "PATCH"],
)
)
session.mount("https://", adapter)
resp = session.get(url)
assert resp.status_code == 200
assert rsp1.call_count == 1
assert rsp2.call_count == 1
assert rsp3.call_count == 1
assert rsp4.call_count == 1
If you use customized processing in requests
via subclassing/mixins, or if you
have library tools that interact with requests
at a low level, you may need
to add extended processing to the mocked Response object to fully simulate the
environment for your tests. A response_callback
can be used, which will be
wrapped by the library before being returned to the caller. The callback
accepts a response
as it's single argument, and is expected to return a
single response
object.
import responses
import requests
def response_callback(resp):
resp.callback_processed = True
return resp
with responses.RequestsMock(response_callback=response_callback) as m:
m.add(responses.GET, "https://example.com", body=b"test")
resp = requests.get("https://example.com")
assert resp.text == "test"
assert hasattr(resp, "callback_processed")
assert resp.callback_processed is True
In some cases you may wish to allow for certain requests to pass through responses
and hit a real server. This can be done with the add_passthru
methods:
import responses
@responses.activate
def test_my_api():
responses.add_passthru("https://percy.io")
This will allow any requests matching that prefix, that is otherwise not registered as a mock response, to passthru using the standard behavior.
Pass through endpoints can be configured with regex patterns if you need to allow an entire domain or path subtree to send requests:
responses.add_passthru(re.compile("https://percy.io/\\w+"))
Lastly, you can use the passthrough
argument of the Response
object
to force a response to behave as a pass through.
# Enable passthrough for a single response
response = Response(
responses.GET,
"https://example.com",
body="not used",
passthrough=True,
)
responses.add(response)
# Use PassthroughResponse
response = PassthroughResponse(responses.GET, "https://example.com")
responses.add(response)
Registered responses are available as a public method of the RequestMock
instance. It is sometimes useful for debugging purposes to view the stack of
registered responses which can be accessed via responses.registered()
.
The replace
function allows a previously registered response
to be
changed. The method signature is identical to add
. response
s are
identified using method
and url
. Only the first matched response
is
replaced.
import responses
import requests
@responses.activate
def test_replace():
responses.get("https://example.org", json={"data": 1})
responses.replace(responses.GET, "https://example.org", json={"data": 2})
resp = requests.get("https://example.org")
assert resp.json() == {"data": 2}
The upsert
function allows a previously registered response
to be
changed like replace
. If the response is registered, the upsert
function
will registered it like add
.
remove
takes a method
and url
argument and will remove all
matched responses from the registered list.
Finally, reset
will reset all registered responses.
responses
supports both Coroutines and Multithreading out of the box.
Note, responses
locks threading on RequestMock
object allowing only
single thread to access it.
async def test_async_calls():
@responses.activate
async def run():
responses.get(
"https://twitter.com/api/1/foobar",
json={"error": "not found"},
status=404,
)
resp = requests.get("https://twitter.com/api/1/foobar")
assert resp.json() == {"error": "not found"}
assert responses.calls[0].request.url == "https://twitter.com/api/1/foobar"
await run()
Responses uses several linting and autoformatting utilities, so it's important that when submitting patches you use the appropriate toolchain:
Clone the repository:
git clone https://github.com/getsentry/responses.git
Create an environment (e.g. with virtualenv
):
virtualenv .env && source .env/bin/activate
Configure development requirements:
make develop
The easiest way to validate your code is to run tests via tox
.
Current tox
configuration runs the same checks that are used in
GitHub Actions CI/CD pipeline.
Please execute the following command line from the project root to validate your code against:
- Unit tests in all Python versions that are supported by this project
- Type validation via
mypy
- All
pre-commit
hooks
tox
Alternatively, you can always run a single test. See documentation below.
Responses uses Pytest for testing. You can run all tests by:
tox -e py37
tox -e py310
OR manually activate required version of Python and run
pytest
And run a single test by:
pytest -k '<test_function_name>'
To verify type
compliance, run mypy linter:
tox -e mypy
OR
mypy --config-file=./mypy.ini -p responses
To check code style and reformat it run:
tox -e precom
OR
pre-commit run --all-files