Integration with Terminal Operating Systems (TOS) and Yard Management Systems (YMS)

1. Set up two mock REST APIs (using tools like Mockoon or Postman Mock Server) representing a TOS and a YMS, returning container data in JSON. 2. Write a backend script (Python/Node.js) that polls these APIs, merges the data based on container ID, and stores the result in a simple database (SQLite). 3. Build a frontend (e.g., using React or even a simple HTML/JS page) that queries your backend to display the container list and status. 4. Implement a button to manually trigger a 'yard move' event in the mock YMS and verify the dashboard updates.

1. Use an EDI parsing library (e.g., `edifact` in Python, `stedi` or `edi-parser` in Java) to deserialize a sample EDI 322 message into a structured object. 2. Define the target yard plan message schema for your TOS (e.g., a JSON schema with fields like `containerId`, `targetSlot`, `equipmentType`). 3. Write transformation logic that maps EDI fields (like `EQD` for equipment details, `LOC` for location) to your TOS schema, including business rules for slot assignment based on container type. 4. Package this logic into a deployable service (e.g., a Docker container) that can be triggered by a file drop or a message queue.

1. Architect an event-driven system using a message broker like Apache Kafka. Define topics for key domain events (e.g., `container.gate.in`, `container.yard.move.completed`). 2. Implement a Change Data Capture (CDC) service (e.g., using Debezium) to stream changes from the legacy TOS database into Kafka topics, decoupling the old system. 3. Develop consumer microservices that consume these events and perform dual-write operations to both the legacy and new TOS systems during the migration period, implementing idempotency and conflict resolution logic. 4. Build a monitoring and reconciliation service that continuously compares data states between the two systems and alerts on discrepancies, providing a rollback plan.