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testing-skill

pydantic/pydantic-ai/.claude/skills/testing-skill/SKILL.md

Record, rewrite, and debug VCR cassettes for HTTP recordings. Use when running tests with --record-mode, verifying cassette playback, or inspecting request/response bodies in YAML cassettes.

Skill20k starsChanged 8 days ago
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---
name: testing-skill
description: Record, rewrite, and debug VCR cassettes for HTTP recordings. Use when running tests with --record-mode, verifying cassette playback, or inspecting request/response bodies in YAML cassettes.
allowed-tools: Bash(uv run pytest *), Bash(uv run python .claude/skills/testing-skill/parse_cassette.py *), Bash(source .env && uv run pytest *), Bash(git diff *)
---

# Pytest VCR Workflow

Use this skill when recording or re-recording VCR cassettes for tests, or when debugging cassette contents.

## Prerequisites

- Verify `.env` exists: `test -f .env && echo 'ok' || echo 'missing'`
- Missing API keys will cause clear test errors at runtime

## Important flags
- `--record-mode=rewrite` : Record cassettes (works for both new and existing)
- `--lf` : Run only the last failed tests
- `-vv` : Verbose output
- `--tb=line` : Short traceback output
- `-k=""` : Run tests matching the given substring expression

## Recording Cassettes

### Step 1: Record cassettes

```bash
source .env && uv run pytest path/to/test.py::test_function_name -v --tb=line --record-mode=rewrite
```

Multiple tests can be specified:
```bash
source .env && uv run pytest path/to/test.py::test_one path/to/test.py::test_two -v --tb=line --record-mode=rewrite
```

### Step 2: Verify recordings

Run the same tests WITHOUT `--record-mode` to verify cassettes play back correctly:
```bash
source .env && uv run pytest path/to/test.py::test_function_name -vv --tb=line
```

### Step 3: Review snapshots

If tests use [`snapshot()`](https://github.com/15r10nk/inline-snapshot) assertions:
- The test run in Step 2 auto-fills snapshot content
- Review the generated snapshot files to ensure they match expected output
- You only review - don't manually write snapshot contents
- Snapshots capture what the test actually produced, additional to explicit assertions

## Parsing Cassettes

Parse VCR cassette YAML files to inspect request/response bodies without dealing with raw YAML.

### Usage

```bash
uv run python .claude/skills/testing-skill/parse_cassette.py <cassette_path> [--interaction N]
```

### Examples

```bash
# Parse all interactions in a cassette
uv run python .claude/skills/testing-skill/parse_cassette.py tests/models/cassettes/test_foo/test_bar.yaml

# Parse only interaction 1 (0-indexed)
uv run python .claude/skills/testing-skill/parse_cassette.py tests/models/cassettes/test_foo/test_bar.yaml --interaction 1
```

### Output

For each interaction, shows:
- Request: method, URI, parsed body (truncated base64)
- Response: status code, parsed body (truncated base64)

Base64 strings longer than 100 chars are truncated for readability.


## Full Workflow Example

```bash
# 1. Record cassette
source .env && uv run pytest tests/models/test_openai.py::test_chat_completion -v --tb=line --record-mode=rewrite

# 2. Verify playback and fill snapshots
source .env && uv run pytest tests/models/test_openai.py::test_chat_completion -vv --tb=line

# 3. Review test code diffs (excludes cassettes)
git diff tests/ -- ':!**/cassettes/**'

# 4. List new/changed cassettes (name only - use parse_cassette.py to inspect)
git diff --name-only tests/ -- '**/cassettes/**'

# 5. Inspect cassette contents if needed
uv run python .claude/skills/testing-skill/parse_cassette.py tests/models/cassettes/test_openai/test_chat_completion.yaml
```

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