Skip to main content

Record and replay HTTP interactions for httpx — an async-native VCR for fast, deterministic tests.

Project description

replayx

Record and replay HTTP and HTTPS interactions for httpx. Run your tests fast and offline.

CI PyPI Python versions License: MIT

replayx saves real HTTP and HTTPS responses to a cassette file on the first test run. Every later run reads from the cassette. No network calls. No flaky tests. No slow CI.

import httpx
from replayx import use_cassette

with use_cassette("cassettes/github.json"):
    resp = httpx.get("https://api.github.com/users/octocat")
    assert resp.json()["login"] == "octocat"

The first run records. Later runs replay.

Why I built replayx

vcrpy brought record and replay to Python. vcrpy targets requests and the sync world. I built replayx for modern httpx code.

Feature replayx vcrpy
Async httpx.AsyncClient yes limited
Built for httpx yes through patches
Zero deps beyond httpx yes (JSON) needs PyYAML
Secret redaction for committed cassettes yes partial
Explicit transport API, no patching yes no
Modern typing with py.typed yes no

HTTPS and TLS

replayx works with https:// URLs the same as http://. replayx hooks into httpx at the transport layer, below TLS, so the scheme is never a special case.

  • On record, httpx makes the real TLS request and replayx captures the result.
  • On replay, replayx serves the response from the cassette with no network and no TLS handshake, so certificates and expiry do not matter.
  • Matching tracks the scheme and the correct default port (443 for https, 80 for http), so https and http to the same host stay distinct.

replayx hooks httpx, so requests made through other clients (requests, urllib, aiohttp) are not intercepted.

Install

pip install replayx

Add YAML cassettes:

pip install "replayx[yaml]"

replayx needs Python 3.9 or newer and httpx 0.23 or newer.

Usage

Patch httpx with use_cassette

use_cassette patches httpx for the block. Your existing client code runs without changes. Sync and async both work.

import httpx
from replayx import use_cassette

async def fetch():
    async with httpx.AsyncClient() as client:
        return await client.get("https://api.example.com/data")

with use_cassette("cassettes/data.json"):
    resp = await fetch()

Build a transport yourself

Prefer no patching? Build a transport and pass the transport to your client. Nothing gets monkeypatched.

import httpx
from replayx import Cassette

cassette = Cassette.load("cassettes/data.json", record_mode="once")

with httpx.Client(transport=cassette.sync_transport()) as client:
    resp = client.get("https://api.example.com/data")

cassette.save()

Use cassette.async_transport() with httpx.AsyncClient for async code.

The pytest plugin

The plugin gives each test an auto-named cassette at <test-dir>/cassettes/<test-name>.json.

import httpx

def test_octocat(replayx_cassette):
    with replayx_cassette():
        resp = httpx.get("https://api.github.com/users/octocat")
        assert resp.status_code == 200

Re-record a whole run from the command line:

pytest --replayx-record=all

Set per-test defaults with the marker:

import pytest

@pytest.mark.replayx(match_on=("method", "url", "body"), filter_headers=["authorization"])
def test_create(replayx_cassette):
    with replayx_cassette():
        ...

Inline stubs, no recording

Sometimes you want to define responses in code instead of recording them. use_stubs patches httpx and serves responses from routes you declare.

import httpx
from replayx import use_stubs

with use_stubs() as router:
    router.get("https://api.example.com/users").respond(json=[{"id": 1}])
    router.post("https://api.example.com/users").respond(201, json={"id": 2})

    with httpx.Client() as client:
        assert client.get("https://api.example.com/users").json() == [{"id": 1}]

A request that matches no route raises UnhandledStubError, so unmocked calls show up at once. Routes match on method plus scheme, host, port, and path. The query string is ignored. Each route counts its calls:

with use_stubs() as router:
    route = router.get("https://api.example.com/ping").respond(text="pong")
    ...
    assert route.call_count == 1

Record modes

Mode What happens
once (default) Replay an existing cassette. Record everything when no cassette exists. A new request against an existing cassette raises an error.
new_episodes Replay matches and append new interactions.
none Replay only. No network. No writes. Good for CI.
all Always reach the real backend and overwrite the cassette. Use to re-record.
with use_cassette("cassettes/api.json", record_mode="none"):
    ...

Match requests

Requests match on method and url by default. Query order does not affect matching. Change the rules with match_on.

with use_cassette("cassettes/api.json", match_on=("method", "path", "body")):
    ...

Available matchers: method, scheme, host, port, path, query, url (alias uri), headers, body, graphql.

GraphQL requests

GraphQL sends every operation as a POST to one URL, so raw body matching breaks on formatting. The graphql matcher compares the operation name, the variables, and the query with whitespace collapsed.

with use_cassette("cassettes/api.json", match_on=("method", "url", "graphql")):
    ...

Redact secrets

Commit cassettes without leaking credentials. Redaction runs at record time. The live response your code receives stays intact.

with use_cassette(
    "cassettes/api.json",
    filter_headers=["authorization", "set-cookie"],
    filter_query_params=["api_key", "token"],
):
    ...

Use hooks for full control. Return a changed recording, or return None to skip the recording.

from dataclasses import replace

def scrub_body(response):
    return replace(response, body=b'{"token": "REDACTED"}')

with use_cassette("cassettes/api.json", before_record_response=scrub_body):
    ...

Cassette format

Cassettes use plain JSON. YAML works with the yaml extra. Both read well in code review.

{
  "version": 1,
  "recorded_with": "replayx/0.1.0",
  "interactions": [
    {
      "request": { "method": "GET", "url": "https://api.example.com/data", "headers": [], "body": null },
      "response": { "status_code": 200, "headers": [["content-type", "application/json"]], "body": { "text": "{\"ok\":true}" } }
    }
  ]
}

replayx stores binary bodies as base64.

Contribute

I welcome contributions. Set up a dev environment:

git clone https://github.com/mkusiappiah/replayx
cd replayx
pip install -e ".[dev]"
pytest
ruff check .
mypy

Open an issue before large changes.

License

MIT. See LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

replayx-0.4.2.tar.gz (22.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

replayx-0.4.2-py3-none-any.whl (21.8 kB view details)

Uploaded Python 3

File details

Details for the file replayx-0.4.2.tar.gz.

File metadata

  • Download URL: replayx-0.4.2.tar.gz
  • Upload date:
  • Size: 22.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for replayx-0.4.2.tar.gz
Algorithm Hash digest
SHA256 1d5187c1a5516273629f797f9469ad510d801137875e48d14b0a34b402080859
MD5 c34e8330a7ae2641887fd033c0d7f95f
BLAKE2b-256 87b86875a52be9fd78c2f251ba7b2e04e2ca98d74712c36d58afab914acd27a2

See more details on using hashes here.

Provenance

The following attestation bundles were made for replayx-0.4.2.tar.gz:

Publisher: publish.yml on mkusiappiah/replayx

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file replayx-0.4.2-py3-none-any.whl.

File metadata

  • Download URL: replayx-0.4.2-py3-none-any.whl
  • Upload date:
  • Size: 21.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for replayx-0.4.2-py3-none-any.whl
Algorithm Hash digest
SHA256 86ce542682b2ac954446976cb6f3675e9d110ed875556237011003b0f82f3f29
MD5 e7910b286e20936bc2b75af2063299a1
BLAKE2b-256 fc6438b8e63be121545d245e2c4bea87f5c3637cb1958e2218de622af0209b8d

See more details on using hashes here.

Provenance

The following attestation bundles were made for replayx-0.4.2-py3-none-any.whl:

Publisher: publish.yml on mkusiappiah/replayx

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page