aws-test-plugin

Generate contract tests that validate API schemas, request/response shapes, required fields, security definitions, and step function input/output contracts. Works with OpenAPI/Swagger specs, SAM templates, and CloudFormation. Uses jsonschema and pydantic for validation. All tests run offline with zero network calls. Use when asked to write contract tests, schema tests, API contract validation, validate OpenAPI spec, or verify request/response shapes for any AWS Python project.

Generate comprehensive end-to-end tests for AWS Python services by reading the actual handler code logic. Covers API Gateway Lambda proxies, Step Function workflows, and Batch job executions. Use when asked to write E2E tests, end-to-end tests, workflow tests, API tests against a deployed environment, or smoke tests for any AWS Python project.

Generate comprehensive integration tests for AWS Python Lambda functions, Batch jobs, and services that interact with S3, DynamoDB, RDS/PostgreSQL, SQS, SNS, EventBridge, Kinesis, and other AWS services. Uses moto for in-process AWS mocking and testcontainers for real database testing. Reads the handler source code to discover every AWS interaction and generates tests covering all code paths. Use when asked to write integration tests, test with mocked AWS, test Lambda + S3, test Lambda + DynamoDB, test Lambda + SQS, test Lambda + SNS, test Lambda + EventBridge, test Lambda + Kinesis, test with moto, or test with testcontainers for any AWS Python project.

Generate performance benchmarks and load tests for AWS Python services. Performance tests measure Lambda latency, memory usage, cold start time, and batch throughput using pytest-benchmark and tracemalloc. Load tests use Locust to simulate concurrent users against API Gateway endpoints. Reads handler code to build realistic event payloads and endpoint lists. Use when asked to write performance tests, benchmark, profile memory, measure latency, load test, stress test, soak test, or capacity test for any AWS Python project.

Master skill for testing AWS Python projects. Discovers project components (Lambda, API Gateway, Step Functions, Batch), reads handler code logic, and coordinates test generation across all categories (E2E, integration, contract, performance, load). Use when asked to: test, write tests, scaffold tests, run tests, analyze test results, debug test failures, or improve test coverage for any AWS Python microservice project.

Generate thorough unit tests for AWS Python business logic with full branch coverage, boundary value analysis, and edge case testing. Isolates pure logic from AWS dependencies using mocks. Covers every if/elif/else, try/except, guard clause, loop variant, and data transformation. Uses pytest parametrize for boundary testing and hypothesis for property-based testing. Use when asked to write unit tests, test business logic, test all branches, test edge cases, improve coverage, or test a specific function for any AWS Python project.