{
  "context": "This criteria evaluates how well the engineer uses Kedro's ThreadRunner for concurrent execution of I/O-bound pipeline tasks, including proper node and pipeline construction using the Kedro framework.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "ThreadRunner usage",
      "description": "Uses kedro.runner.ThreadRunner class to execute the pipeline with thread-based concurrency for I/O operations",
      "max_score": 30
    },
    {
      "name": "max_workers configuration",
      "description": "Correctly configures ThreadRunner with max_workers parameter to control the number of concurrent threads",
      "max_score": 15
    },
    {
      "name": "Node creation",
      "description": "Uses kedro.pipeline.node() function to create nodes that wrap the fetch_all_urls and process_status_codes functions with appropriate inputs and outputs",
      "max_score": 20
    },
    {
      "name": "Pipeline construction",
      "description": "Uses kedro.pipeline.pipeline() or kedro.pipeline.Pipeline class to compose nodes into a directed acyclic graph",
      "max_score": 15
    },
    {
      "name": "DataCatalog integration",
      "description": "Uses kedro.io.DataCatalog or kedro.io.MemoryDataset to manage pipeline inputs and outputs during execution",
      "max_score": 15
    },
    {
      "name": "Runner execution",
      "description": "Calls the run() method on ThreadRunner instance with the pipeline and catalog to execute the workflow",
      "max_score": 5
    }
  ]
}