Get the endpoints by the human name, then search on a single field with structured query

aws_cloudsearch_field.py

    aws_region = config['AWS']['region']
    search_domain_name = config['AWS']['cloudsearch_domain_name']  # e.g., avail-search-dev
    cs = boto3.client("cloudsearch")
    cs_domain = cs.describe_domains(DomainNames=[search_domain_name])['DomainStatusList'][0]
    cs_doc_ep = cs_domain['DocService']['Endpoint']
    cs_doc = boto3.client('cloudsearchdomain',
                          endpoint_url='https://' + cs_doc_ep,
                          region_name=aws_region)
    cs_search_ep = cs_domain['SearchService']['Endpoint']
    cs_search = boto3.client('cloudsearchdomain',
                             endpoint_url='https://' + cs_search_ep,
                             region_name=aws_region)
    # Search by field nasa_id:
    res = cs_search.search(query="nasa_id: '201404030002HQ'", queryParser='structured')
    # returns res['hits']['found'] == 0, res['hits']['hit'] == [] if none

We get the AWS hairy-named endpoints from our simple human name. Then we do a search on a single field using a 'structured' query, rather than 'simple' matching against all text fields. Not shown is how to add a document to the CloudSearch using the endpoint we discover.