vcr-http-recording（VCR HTTP 录制）

VCR.py HTTP Recording

Record and replay HTTP interactions for Python tests.

Basic Setup

# conftest.py
import pytest

@pytest.fixture(scope="module")
def vcr_config():
    return {
        "cassette_library_dir": "tests/cassettes",
        "record_mode": "once",
        "match_on": ["uri", "method"],
        "filter_headers": ["authorization", "x-api-key"],
        "filter_query_parameters": ["api_key", "token"],
    }

Basic Usage

import pytest

@pytest.mark.vcr()
def test_fetch_user():
    response = requests.get("https://api.example.com/users/1")

    assert response.status_code == 200
    assert response.json()["name"] == "John Doe"

@pytest.mark.vcr("custom_cassette.yaml")
def test_with_custom_cassette():
    response = requests.get("https://api.example.com/data")
    assert response.status_code == 200

Async Support

import pytest
from httpx import AsyncClient

@pytest.mark.asyncio
@pytest.mark.vcr()
async def test_async_api_call():
    async with AsyncClient() as client:
        response = await client.get("https://api.example.com/data")

    assert response.status_code == 200
    assert "items" in response.json()

Recording Modes

@pytest.fixture(scope="module")
def vcr_config():
    import os

    # CI: never record, only replay
    if os.environ.get("CI"):
        record_mode = "none"
    else:
        record_mode = "new_episodes"

    return {"record_mode": record_mode}

Filtering Sensitive Data

def filter_request_body(request):
    """Redact sensitive data from request body."""
    import json
    if request.body:
        try:
            body = json.loads(request.body)
            if "password" in body:
                body["password"] = "REDACTED"
            if "api_key" in body:
                body["api_key"] = "REDACTED"
            request.body = json.dumps(body)
        except json.JSONDecodeError:
            pass
    return request

@pytest.fixture(scope="module")
def vcr_config():
    return {
        "filter_headers": ["authorization", "x-api-key"],
        "before_record_request": filter_request_body,
    }

LLM API Testing

def llm_request_matcher(r1, r2):
    """Match LLM requests ignoring dynamic fields."""
    import json

    if r1.uri != r2.uri or r1.method != r2.method:
        return False

    body1 = json.loads(r1.body)
    body2 = json.loads(r2.body)

    # Ignore dynamic fields
    for field in ["request_id", "timestamp"]:
        body1.pop(field, None)
        body2.pop(field, None)

    return body1 == body2

@pytest.fixture(scope="module")
def vcr_config():
    return {
        "custom_matchers": [llm_request_matcher],
    }

Cassette File Example

# tests/cassettes/test_fetch_user.yaml
interactions:
- request:
    body: null
    headers:
      Content-Type: application/json
    method: GET
    uri: https://api.example.com/users/1
  response:
    body:
      string: '{"id": 1, "name": "John Doe"}'
    status:
      code: 200
version: 1

Key Decisions

Common Mistakes

• Committing cassettes with real API keys
• Using all mode in CI (makes live calls)
• Not filtering sensitive data
• Missing cassettes in git

Related Skills

• msw-mocking - Frontend equivalent
• integration-testing - API testing patterns
• llm-testing - LLM-specific patterns

Capability Details

http-recording

Keywords: record HTTP, vcr.use_cassette, record mode, capture HTTP Solves:

• Record HTTP interactions for replay
• Capture real API responses
• Create deterministic test fixtures

cassette-replay

Keywords: replay, cassette, playback, mock replay Solves:

• Replay recorded HTTP interactions
• Run tests without network access
• Ensure consistent test results

async-support

Keywords: async, aiohttp, httpx async, async cassette Solves:

• Record async HTTP clients
• Handle aiohttp and httpx async
• Test async API integrations

sensitive-data-filtering

Keywords: filter, scrub, redact, sensitive data, before_record Solves:

• Scrub API keys from cassettes
• Redact sensitive data
• Implement before_record hooks

custom-matchers

Keywords: matcher, match on, request matching, custom match Solves:

• Configure request matching rules
• Ignore dynamic request parts
• Match by method/host/path

llm-api-testing

Keywords: LLM cassette, OpenAI recording, Anthropic recording Solves:

• Record LLM API responses
• Test AI integrations deterministically
• Avoid costly API calls in tests