public static void MaterializeCreatesDefaultValueIfFacetsIsEmpty()
{
var materializer = new TermlessFacetElasticMaterializer(defaultMaterializer, typeof(SampleClass), "");
var actual = materializer.Materialize(new ElasticResponse { facets = new JObject() });
Assert.Null(actual);
}
public static void ManyMaterializesDefaultValueGivenNoValidFacets()
{
var facets = JObject.Parse(
"{ \"GroupKey\": { \"_type\": \"term_filter\", \"count\": 77 }," +
" \"unitsInStock\": { \"_type\": \"term_stats\", \"count\": 77, \"total\": 3119.0, \"max\": 125.0 } }");
var materializer = new TermlessFacetElasticMaterializer(a => a.GetValue("", "", typeof(int)), typeof(int), null);
var actual = materializer.Materialize(new ElasticResponse { facets = facets });
Assert.Equal(default(int), actual);
}
public static void ManyMaterializesJsonIntoAggregateFields()
{
const string expectedKey = "some key";
// Materializer should be able to handle inefficient filter + statistical combination
var facets = JObject.Parse(
"{ \"GroupKey\": { \"_type\": \"filter\", \"count\": 77 }," +
" \"unitsInStock\": { \"_type\": \"statistical\", \"count\": 77, \"total\": 3119.0, \"max\": 125.0 } }");
var materializer = new TermlessFacetElasticMaterializer(defaultMaterializer, typeof(AggregateRow), expectedKey);
var actual = materializer.Materialize(new ElasticResponse { facets = facets });
var statisticalRow = Assert.IsType<AggregateStatisticalRow>(actual);
Assert.Equal(expectedKey, statisticalRow.Key);
Assert.Equal(77, statisticalRow.GetValue("GroupKey", "count", typeof(int)));
Assert.Equal(3119.0d, statisticalRow.GetValue("unitsInStock", "total", typeof(double)));
Assert.Equal(125.0d, statisticalRow.GetValue("unitsInStock", "max", typeof(double)));
}
public static void Materialize_GuardClauses()
{
var materializer = new TermlessFacetElasticMaterializer(defaultMaterializer, typeof(SampleClass), "");
Assert.Throws<ArgumentNullException>(() => materializer.Materialize(null));
}
