Create a robust testing suite to validate the AWS SQS driver implementation for the GoQueue project. The testing should ensure the SQS driver functions correctly, handles errors appropriately, and integrates properly with the existing middleware, retry, and DLQ functionality.
Requirements
- Unit Testing
Create mocks for the AWS SQS service using a mocking library (e.g., go-mock, testify/mock)
Test all SQS driver methods (Enqueue, Dequeue, Acknowledge, Requeue) with various inputs
Test error handling for common AWS errors (throttling, permissions, network issues)
Validate correct message attribute handling and serialization/deserialization
- Integration Testing
Create a test that uses LocalStack or actual SQS (with test queues)
Test the full job lifecycle: enqueue, process, acknowledge
Verify retry functionality with the SQS driver
Test visibility timeout handling and message reappearance
Validate DLQ redirection after max retries
- Configuration Testing
Test the SQS config validation logic
Verify credentials handling (direct credentials, environment variables, IAM roles)
Test the configuration builder pattern with SQS-specific options
Validate error handling for invalid configurations
- Performance Testing
Create a benchmark comparing SQS vs Redis drivers
Measure throughput under various concurrency settings
Test with different batch sizes and payload sizes
Document performance characteristics and limitations
- End-to-End Testing
Create a sample application using the SQS driver
Test middleware chaining with SQS
Verify metrics collection works correctly with SQS
Test graceful shutdown with in-flight SQS messages
Deliverables
Unit tests in a drivers/sqs_driver_test.go file
Integration tests in a test/sqs_integration_test.go file
Benchmark tests in a benchmark/sqs_benchmark_test.go file
Sample application demonstrating SQS usage in examples/sqs_example
Documentation update explaining the testing strategy and results
Success Criteria
All tests pass consistently
Code coverage for SQS driver exceeds 80%
Documentation clearly explains how to run tests and interpret results
Performance characteristics are well-documented
Edge cases (network errors, retries, etc.) are properly handled
Create a robust testing suite to validate the AWS SQS driver implementation for the GoQueue project. The testing should ensure the SQS driver functions correctly, handles errors appropriately, and integrates properly with the existing middleware, retry, and DLQ functionality.
Requirements
Create mocks for the AWS SQS service using a mocking library (e.g., go-mock, testify/mock)
Test all SQS driver methods (Enqueue, Dequeue, Acknowledge, Requeue) with various inputs
Test error handling for common AWS errors (throttling, permissions, network issues)
Validate correct message attribute handling and serialization/deserialization
Create a test that uses LocalStack or actual SQS (with test queues)
Test the full job lifecycle: enqueue, process, acknowledge
Verify retry functionality with the SQS driver
Test visibility timeout handling and message reappearance
Validate DLQ redirection after max retries
Test the SQS config validation logic
Verify credentials handling (direct credentials, environment variables, IAM roles)
Test the configuration builder pattern with SQS-specific options
Validate error handling for invalid configurations
Create a benchmark comparing SQS vs Redis drivers
Measure throughput under various concurrency settings
Test with different batch sizes and payload sizes
Document performance characteristics and limitations
Create a sample application using the SQS driver
Test middleware chaining with SQS
Verify metrics collection works correctly with SQS
Test graceful shutdown with in-flight SQS messages
Deliverables
Unit tests in a drivers/sqs_driver_test.go file
Integration tests in a test/sqs_integration_test.go file
Benchmark tests in a benchmark/sqs_benchmark_test.go file
Sample application demonstrating SQS usage in examples/sqs_example
Documentation update explaining the testing strategy and results
Success Criteria
All tests pass consistently
Code coverage for SQS driver exceeds 80%
Documentation clearly explains how to run tests and interpret results
Performance characteristics are well-documented
Edge cases (network errors, retries, etc.) are properly handled