--- name: api-testing description: >- Test REST and GraphQL APIs with Playwright APIRequestContext, Supertest, or standalone HTTP clients. Covers schema validation with Zod 4/AJV, auth flow testing, CRUD lifecycle tests, error and header validation, pagination, and performance assertions. Use when: "API test," "endpoint test," "REST test," "GraphQL test," "schema validation," "Postman replacement." Not for: consumer-driven contract verification (Pact, broker) — use contract-testing; browser UI flows — use playwright-automation. Related: contract-testing, test-data-management, ci-cd-integration, playwright-automation. license: MIT metadata: author: kindlmann version: "2.0" category: automation --- A response that adds a nullable field or quietly drops one slips past `toHaveProperty` spot-checks and silently breaks the frontend in production. Schema-as-contract tests catch that drift in CI, not prod. This skill produces REST and GraphQL API tests that assert response shape, status codes, headers, auth boundaries, and timing — against a real test environment, not a mocked stand-in. ## Discovery Questions Check `.agents/qa-project-context.md` first — if it exists, use it and skip anything already answered there. Then: 1. **REST, GraphQL, or both?** REST-only suites use standard HTTP assertions. GraphQL needs query/mutation builders and benefits from an introspection-diff snapshot. 2. **Auth mechanism?** JWT, API key, OAuth 2.0, or session cookies — each needs a different fixture strategy. 3. **OpenAPI/Swagger spec available?** If yes, auto-generate Zod schemas as contracts (`orval`, `openapi-zod-client`) and consider spec-driven fuzzing with Schemathesis. --- ## Core Principles 1. **Test contracts, not implementations.** Assert on response shape, status codes, and headers — not on internal logic or database state. 2. **Schema validation catches drift before it breaks consumers.** A failing schema test means you caught a breaking change before your frontend did. 3. **Auth flows are tests too — don't just hardcode tokens.** Test login, refresh, expiration, and permission boundaries. 4. **Response time is a testable assertion.** Performance regressions caught in CI are cheaper than production incidents. --- ## Exploratory vs Automated: Tooling API exploration (debugging, manual probing, OpenAPI playground) and automated API testing are different jobs. Use the right tool for each: | Tool | Best for | Why | |------|----------|-----| | **Bruno** (v3.4+) | File-based collections, git-reviewable workflows, FOSS Postman replacement | Filesystem-first, no cloud sync required; gRPC + OAuth + GraphQL query builder | | **Hurl** (8.x) | Plain-text HTTP testing, CI smoke checks | One file = many requests + assertions; runs anywhere curl runs; certificate + JSONPath (RFC 9535) queries | | **Hoppscotch** | Web-based Postman-style exploration | Open source, runs in browser, good for quick checks | | **Playwright `APIRequestContext`** | Automated tests in your test runner | This skill's focus — covered below | | **Supertest** (Node) / **httpx** (Python) | In-process API tests against your own app | Fastest feedback when you control both sides | Skip Postman/Insomnia for new projects unless your team already has investment there — file-based tools (Bruno, Hurl) are easier to review in PRs and survive when collections drift. ## Playwright API Testing `APIRequestContext` supports standalone API tests without launching a browser and shares cookie/storage state with browser contexts. Use it for: - **Standalone API tests** — `request.get/post/...` with status, header, and body assertions. - **Combined browser + API tests** — seed data via API, assert it appears in the UI, then clean up via API. - **Authenticated fixtures** — log in once in a fixture, hand a pre-authenticated `APIRequestContext` to tests, and dispose it on teardown. Never hardcode tokens. See `references/playwright-setup.md` for the `playwright.config.ts`, standalone tests, combined browser+API test, and the authenticated API fixture. --- ## Schema Validation Validate response shape against a schema rather than spot-checking individual fields with `toHaveProperty`. Two common approaches: - **Zod 4** — define a schema, `safeParse` the response, and assert `result.success`. Log `result.error.issues` on failure for a precise diff. Use the Zod 4 native string formats: `z.email()`, `z.uuid()`, `z.iso.datetime()` — the chained `z.string().email()` forms are deprecated and slated for removal. - **AJV with JSON Schema** — when you already have JSON Schema (e.g. from an OpenAPI spec), compile and validate with `ajv` + `ajv-formats`. **Schema-as-contract:** have both the API and the tests import the same schema file. If the response shape changes, consumer tests fail immediately. With an OpenAPI spec, auto-generate the schema (`orval` or `openapi-zod-client`). For spec-first teams, add **Schemathesis** as a CI job to fuzz the live API against the spec and catch undocumented shapes and edge-case 500s. See `references/schema-validation.md` for the Zod 4, AJV, schema-as-contract, and Schemathesis implementations. --- ## Test Patterns Cover each endpoint with a happy-path test plus at least one error-path test. The common patterns: - **CRUD lifecycle** — a `describe.serial` block that creates, reads, updates, deletes, then verifies the 404. Carries the resource id across steps. - **Auth flows** — login success, invalid credentials (401), expired token (401), token refresh, and permission boundary (403). Treat auth as its own describe block. - **Error responses** — 400 (malformed body), 422 (validation with field details), 429 (rate limit + `retry-after`). Don't ship happy-path-only suites. - **Response headers** — assert `content-type`, `cache-control`, and rate-limit headers directly (not behind a conditional that may never fire). See the pattern below. - **Pagination** — first-page metadata, out-of-bounds empty page, and rejection of invalid page size. - **File upload/download** — multipart upload and `content-disposition` header verification. - **GraphQL** — a small `gql` helper, then query / mutation / invalid-query (errors array) cases, plus an introspection-diff snapshot to catch silently-removed fields. - **Webhooks** — spin up a throwaway HTTP server, register a webhook, trigger the event, and assert delivery. See `references/test-patterns.md` for the full runnable implementations of every pattern above plus performance assertions. ### Response Headers Headers carry the contract: cache directives, rate-limit info, content type, CORS policy. Assert them with `response.headers()` and index by lowercase name; don't gate the assertion behind an `if (rateLimited)` that may not fire. ```typescript test('GET /api/users sets expected response headers', async ({ request }) => { const response = await request.get('/api/users'); const headers = response.headers(); expect(headers).toBeDefined(); expect(headers['content-type']).toContain('application/json'); expect(headers['cache-control']).toBeDefined(); // "no-store" | "max-age=60" | ... }); ``` For the rate-limit and `retry-after` variants, see `references/test-patterns.md` (Response Header Validation). --- ## Performance Assertions Response time and payload size are testable assertions — assert that a hot endpoint responds within a budget (e.g. 500ms), that payloads stay under a size ceiling, and that the API survives a burst of concurrent requests without 5xx. See `references/test-patterns.md` (Performance Assertions section) for the code. --- ## Anti-Patterns ### 1. Hardcoded auth tokens Tokens expire, rotate, and differ across environments. Use a login fixture that acquires tokens dynamically. ### 2. Testing against production API tests create, modify, and delete data. Run against a dedicated test environment or local instance. ### 3. Not validating error responses Happy-path-only suites miss the most common production issues. Test 400, 401, 403, 404, and 500 responses for every endpoint. ### 4. Asserting headers only conditionally Headers carry cache directives, rate limit info, content type, and CORS policy. Assert them directly on every relevant response — a check buried inside `if (rateLimited)` may never run and proves nothing. ### 5. No cleanup after test data creation Tests that create resources without deleting them pollute the database. Use `afterEach`/`afterAll` hooks or fixture teardown. ### 6. Treating API tests as unit tests Don't mock the database — API tests verify the contract from the consumer's perspective. Mock only genuine third parties you don't own (payment gateways, external SaaS). ### 7. Ignoring idempotency PUT and DELETE should be idempotent. Test that calling them twice produces the same result. --- ## Done When - Every target endpoint has at least a happy-path test and at least one error-path test (4xx or 5xx response validated). - Auth flow tested as its own describe block: successful login, invalid credentials, expired token, and permission boundary (403). - Schema validation assertions on response shape using Zod 4 or AJV — not just `toHaveProperty` spot-checks. - Header assertions exist for at least `content-type` and any cache/rate-limit headers the API sets, asserted unconditionally. - Contract tests in place for any endpoint consumed by a different team or service (shared schema file; for consumer-driven verification use `contract-testing`). - Genuine third-party calls (payment gateways, external SaaS) are mocked or virtualized; the API and its database run for real. - CI job for the suite exits 0 (green) against the test environment. ## Reference Files (in `references/`) - **playwright-setup.md** — `playwright.config.ts`, standalone API tests, combined browser+API tests, and the authenticated `APIRequestContext` fixture. - **schema-validation.md** — Zod 4 and AJV/JSON-Schema response validation, the schema-as-contract pattern, and Schemathesis spec-driven fuzzing. - **test-patterns.md** — Runnable CRUD lifecycle, auth flows, error responses, response headers, pagination, file upload/download, GraphQL (+ introspection diff), webhook, and performance tests. ## Related Skills - **contract-testing** — Consumer-driven contract verification with Pact/broker; go there when a separate team consumes your API and you need guaranteed compatibility, not just a shared schema. - **playwright-automation** — Browser-based E2E testing, Page Object Model, and combined browser + API patterns. - **ci-cd-integration** — Running API test suites in CI pipelines, parallelization, and environment management. - **test-strategy** — Deciding what to test at the API layer vs. unit vs. E2E.