Simplify working with Hoverfly from pytest
A helper for working with Hoverfly from
pytest. Works both locally and in CI.
pip install pytest-hoverfly
poetry add pytest-hoverfly --dev
There are two use cases: to record a new test and to use recordings.
You need to have Docker installed.
pytest-hoverfly uses it under the hood to create Hoverfly instances.
Create a directory to store simulation files. Pass
pytest. The path may be absolute or relative to your
E.g. if you have a structure like this:
├── myproject ├── ... ├── pytest.ini └── tests ├── conftest.py ├── simulations
Then put this in you pytest.ini:
[pytest] addopts = --hoverfly-simulation-path=tests/simulations
Without Docker Desktop
If you're using something like lima instead of Docker Desktop, you need to specify a path to Docker API. For lima:
If you're using minikube instead of Docker Desktop, you need to specify the service host because the exposed ports are not available on localhost. For minikube you get the service IP with
minikube ip command and then put it in the env var:
How to record a test
from pytest_hoverfly import hoverfly import requests @hoverfly('my-simulation-file', record=True) def test_google_with_hoverfly(): assert requests.get('https://google.com').status_code == 200
Write a test. Decorate it with
@hoverfly, specifying a name of a file to save the simulation to.
Run the test. A Hoverfly container will be created, and
HTTPS_PROXY env vars
will be set to point to this container. After test finishes, the resulting simulation will
be exported from Hoverfly and saved to a file you specified. After test session ends, Hoverfly
container will be destroyed (unless
--hoverfly-reuse-container is passed to pytest).
This will work for cases when a server always returns the same response for the same
request. If you need to work with stateful endpoints (e.g. wait for Teamcity build
to finish), use
@hoverfly('my-simulation, record=True, stateful=True). See
How to use recordings
record parameter. That's it. When you run the test, it will create a container
with Hoverfly, upload your simulation into it, and use it instead of a real service.
from pytest_hoverfly import hoverfly import requests @hoverfly('my-simulation-file') def test_google_with_hoverfly(): assert requests.get('https://google.com').status_code == 200
Caveat: if you're using an HTTP library other than
requests you need to
tell it to use Hoverfly as HTTP(S) proxy and to trust Hoverfly's certificate. See
_patch_env fixture for details on how it's done for
How to re-record a test
record=True again, and run the test. The simulation file will be overwritten.
Change Hoverfly version
To use a different Hoverfly version, specify
--hoverfly-image. It must be a valid Docker image tag.
Start Hoverfly with custom parameters
--hoverfly-args. It is passed as is to a Hoverfly container.
Usage in CI
CI systems like Gitlab CI or Github Actions allow you to run arbitrary services as containers.
pytest-hoverfly can detect if a Hoverfly instance is already running by looking at certain environment variables. If it detects a running instance,
pytest-hovefly uses it, and doesn't create a new container.
For Github Actions:
services: hoverfly: image: spectolabs/hoverfly:v1.3.2 ports: - 8500:8500 - 8888:8888 env: HOVERFLY_HOST: localhost HOVERFLY_PROXY_PORT: 8500 HOVERFLY_ADMIN_PORT: 8888
Mind that all three variables must be specified.
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