[Bug]: Semantic search workload fails while registering ML model

[gkamat]

Describe the bug

opensearch-benchmark execute-test \
 --workload-path="/home/ec2-user/.benchmark/benchmarks/workloads/private/trec_covid_semantic_search" \
 --workload-params="/home/ec2-user/.benchmark/benchmarks/workloads/private/trec_covid_semantic_search/params/params.json" \
 --pipeline=benchmark-only \
 --target-host="$EP" \
 --kill-running-processes \
--client-options=timeout:120,amazon_aws_log_in:environment

params.json:

{
    "bulk_indexing_clients": 4,
    "bulk_size": 200,
    "number_of_replicas": 1,
    "number_of_shards" :8,
    "ingest_percentage":100,
    "search_clients": 8,
    "warmup_iterations": 20,
    "iterations": 100,
    "variable_queries": 50,
    "k": 100,
    "model_name": "text-embedding-model",
    "model_format": "TORCH_SCRIPT",
    "model_version" : "1.0.1",
    "model_config_file" : "/home/ec2-user/.benchmark/benchmarks/workloads/private/trec_covid_semantic_search/model_config_file.json"
}

Error:

Running delete-index                                                           [100% done]
Running set-concurrent-segment-search                                          [100% done]
Running delete-ingest-pipeline                                                 [100% done]
Running delete-ml-model                                                        [100% done]
Running register-ml-model                                                      [  0% done]
[ERROR] Cannot execute-test. Error in load generator [0]
        Cannot run task [register-ml-model]: Port could not be cast to integer value as '443_plugins'

[IanHoang]

Looks like fix was merged in