$ show streamthoughts/jikkou
Jikkou is a declarative infrastructure-as-code tool for managing Apache Kafka and related data infrastructure (Schema Registry, Kafka Connect, Apache Iceberg, Confluent Cloud, Aiven, AWS Glue). It provides both a CLI and a REST API server that reconcile desired resource state (defined as YAML/JSON files) against live cluster state using a Kubernetes-style resource model (apiVersion, kind, metadata, spec). The system computes diffs between declared and actual configurations, then applies only the necessary changes via pluggable controllers and change handlers. Architecturally, the project is a multi-module Maven project with a core library that defines extension points (collectors, controllers, validations, transformations, health indicators, change reporters) and provider modules that implement these interfaces for specific platforms. The CLI uses picocli for command parsing, and the REST API server is built on Micronaut with HATEOAS links. Both share the same core API and extension registry. A GraalVM native-image build is supported for the CLI. The codebase demonstrates strong software engineering with clean interfaces, builder patterns, annotation-driven extension metadata, and comprehensive unit and integration tests using Testcontainers. Some code duplication exists across provider modules, and the large number of generated model classes introduces maintenance overhead. Overall, it is a well-crafted, production-ready tool for Kafka ecosystem resource management.
The LLM identified 4 files worth highlighting for reuse:
A complete extension/plugin framework for registering, qualifying, and resolving extensions. Includes extension descriptors, qualifiers (by name, category, enabled, supported resource), a registry, and factories. The framework is isolated from business logic and could be extracted to power any plugin-based system.
A generic change computation engine that diffs desired vs actual resource states. Includes ChangeComputer, ResourceChangeComputer, DefaultChangeComputer, StateChange, and resource change factories. This pattern is reusable across any declarative reconciliation system and is not tied to specific resource types.
A minimal health indicator framework with a Health, HealthIndicator, and HealthAggregator. The pattern is generic and could be reused in any application requiring pluggable health checks. The DefaultStatusAggregator demonstrates a clean composite pattern.
A selector framework supporting label selectors, field selectors, and expression-based selectors. Includes a parser (DefaultSelectorParser) and aggregation (AllMatch, AnyMatch, NoneMatch). This is a standalone utility for filtering resources based on expressions and could be reused in other resource management tools.