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Add comprehensive Docker Compose setup for Kafka integration tests
MAJOR ENHANCEMENT: Complete Docker-based integration testing infrastructure ## New Docker Compose Infrastructure: - docker-compose.yml: Complete multi-service setup with health checks - Apache Kafka + Zookeeper - Confluent Schema Registry - SeaweedFS full stack (Master, Volume, Filer, MQ Broker, MQ Agent) - Kafka Gateway service - Test setup and utility services ## Docker Services: - Dockerfile.kafka-gateway: Custom Kafka Gateway container - Dockerfile.test-setup: Schema registration and test data setup - kafka-gateway-start.sh: Service startup script with dependency waiting - wait-for-services.sh: Comprehensive service readiness verification ## Test Setup Utility: - cmd/setup/main.go: Automated schema registration utility - Registers User, UserEvent, and LogEntry Avro schemas - Handles service discovery and health checking ## Integration Tests: - docker_integration_test.go: Comprehensive Docker-based integration tests - Kafka connectivity and topic operations - Schema Registry integration - Kafka Gateway functionality - Sarama and kafka-go client compatibility - Cross-client message compatibility - Performance benchmarking ## Build and Test Infrastructure: - Makefile: 30+ targets for development and testing - setup, test-unit, test-integration, test-e2e - Performance testing and benchmarking - Individual service management - Debugging and monitoring tools - CI/CD integration targets ## Documentation: - README.md: Comprehensive documentation - Architecture overview and service descriptions - Quick start guide and development workflow - Troubleshooting and performance tuning - CI/CD integration examples ## Key Features: ✅ Complete service orchestration with health checks ✅ Automated schema registration and test data setup ✅ Multi-client compatibility testing (Sarama, kafka-go) ✅ Performance benchmarking and monitoring ✅ Development-friendly debugging tools ✅ CI/CD ready with proper cleanup ✅ Comprehensive documentation and examples ## Usage: make setup-schemas # Start all services and register schemas make test-e2e # Run end-to-end integration tests make clean # Clean up environment This provides a production-ready testing infrastructure that ensures Kafka Gateway compatibility with real Kafka ecosystems and validates schema registry integration in realistic deployment scenarios.
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package main
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import (
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"bytes"
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"encoding/json"
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"fmt"
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"io"
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"log"
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"net/http"
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"os"
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"time"
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)
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// Schema represents a schema registry schema
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type Schema struct {
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Subject string `json:"subject"`
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Version int `json:"version"`
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Schema string `json:"schema"`
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}
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// SchemaResponse represents the response from schema registry
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type SchemaResponse struct {
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ID int `json:"id"`
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}
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func main() {
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log.Println("Setting up Kafka integration test environment...")
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kafkaBootstrap := getEnv("KAFKA_BOOTSTRAP_SERVERS", "kafka:29092")
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schemaRegistryURL := getEnv("SCHEMA_REGISTRY_URL", "http://schema-registry:8081")
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kafkaGatewayURL := getEnv("KAFKA_GATEWAY_URL", "kafka-gateway:9093")
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log.Printf("Kafka Bootstrap Servers: %s", kafkaBootstrap)
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log.Printf("Schema Registry URL: %s", schemaRegistryURL)
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log.Printf("Kafka Gateway URL: %s", kafkaGatewayURL)
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// Wait for services to be ready
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waitForService("Schema Registry", schemaRegistryURL+"/subjects")
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waitForService("Kafka Gateway", "http://"+kafkaGatewayURL) // Basic connectivity check
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// Register test schemas
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if err := registerSchemas(schemaRegistryURL); err != nil {
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log.Fatalf("Failed to register schemas: %v", err)
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}
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log.Println("Test environment setup completed successfully!")
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}
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func getEnv(key, defaultValue string) string {
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if value := os.Getenv(key); value != "" {
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return value
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}
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return defaultValue
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}
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func waitForService(name, url string) {
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log.Printf("Waiting for %s to be ready...", name)
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for i := 0; i < 60; i++ { // Wait up to 60 seconds
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resp, err := http.Get(url)
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if err == nil && resp.StatusCode < 400 {
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resp.Body.Close()
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log.Printf("%s is ready", name)
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return
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}
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if resp != nil {
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resp.Body.Close()
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}
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time.Sleep(1 * time.Second)
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}
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log.Fatalf("%s is not ready after 60 seconds", name)
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}
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func registerSchemas(registryURL string) error {
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schemas := []Schema{
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{
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Subject: "user-value",
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Schema: `{
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"type": "record",
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"name": "User",
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"fields": [
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{"name": "id", "type": "int"},
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{"name": "name", "type": "string"},
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{"name": "email", "type": ["null", "string"], "default": null}
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]
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}`,
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},
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{
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Subject: "user-event-value",
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Schema: `{
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"type": "record",
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"name": "UserEvent",
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"fields": [
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{"name": "userId", "type": "int"},
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{"name": "eventType", "type": "string"},
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{"name": "timestamp", "type": "long"},
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{"name": "data", "type": ["null", "string"], "default": null}
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]
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}`,
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},
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{
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Subject: "log-entry-value",
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Schema: `{
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"type": "record",
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"name": "LogEntry",
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"fields": [
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{"name": "level", "type": "string"},
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{"name": "message", "type": "string"},
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{"name": "timestamp", "type": "long"},
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{"name": "service", "type": "string"},
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{"name": "metadata", "type": {"type": "map", "values": "string"}}
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]
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}`,
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},
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}
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for _, schema := range schemas {
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if err := registerSchema(registryURL, schema); err != nil {
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return fmt.Errorf("failed to register schema %s: %w", schema.Subject, err)
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}
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log.Printf("Registered schema: %s", schema.Subject)
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}
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return nil
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}
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func registerSchema(registryURL string, schema Schema) error {
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url := fmt.Sprintf("%s/subjects/%s/versions", registryURL, schema.Subject)
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payload := map[string]interface{}{
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"schema": schema.Schema,
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}
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jsonData, err := json.Marshal(payload)
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if err != nil {
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return err
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}
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resp, err := http.Post(url, "application/vnd.schemaregistry.v1+json", bytes.NewBuffer(jsonData))
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if err != nil {
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return err
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}
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defer resp.Body.Close()
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if resp.StatusCode >= 400 {
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body, _ := io.ReadAll(resp.Body)
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return fmt.Errorf("HTTP %d: %s", resp.StatusCode, string(body))
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}
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var response SchemaResponse
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if err := json.NewDecoder(resp.Body).Decode(&response); err != nil {
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return err
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}
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log.Printf("Schema %s registered with ID: %d", schema.Subject, response.ID)
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return nil
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}
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