private static CypherResult ExecuteMirrorGremlin(string script, AlgoContext context, int[] productIds)
{
try
{
Neo4jContext client = new Neo4jContext(false);
Dictionary <string, object> parameters = new Dictionary <string, object>();
foreach (RecommendationContext item in context.Context.Keys)
{
parameters["pMap" + item.ToString()] = context.Context[item];
}
if (productIds != null && productIds.Count() > 0)
{
parameters["pMapProductsId"] = productIds;
}
string response = client.ExecuteGremlinScript(new Script {
ScriptStr = script, ParameterMap = parameters
});
return(JsonConvert.DeserializeObject <CypherResult>(response));
}
catch (Exception e)
{
Log.Error("ExecuteMirrorQuery", "Error executing query", e);
throw;
}
}
private void CreateNodeAndRelationships()
{
_context.ExecuteGremlinScript(new Script
{
ScriptStr = ParseGremlinQuery()
});
}
public static CypherResult ExecuteGremlinRecommendation(string query, ContentTypeDistribution distribution, AggregateFilter filters, AlgoContext context, out string requestString)
{
try
{
string filteredQuery = BuildGremlinQuery(query, filters, distribution);
Log.Debug("ExecuteGremlinRecommendation", "Query built from parameters");
Neo4jContext client = new Neo4jContext(false);
Dictionary <string, object> parameters = new Dictionary <string, object>();
foreach (RecommendationContext item in context.Context.Keys)
{
parameters["pMap" + item.ToString()] = context.Context[item];
}
Script gremlinScript = new Script
{
ScriptStr = filteredQuery,
ParameterMap = parameters
};
string response = client.ExecuteGremlinScript(gremlinScript, out requestString);
if (!string.IsNullOrEmpty(response))
{
return(JsonConvert.DeserializeObject <CypherResult>(response));
}
else
{
return(null);
}
}
catch (Exception e)
{
Log.Error("ExecuteRecommendationQuery", "Error executing query", e);
throw;
}
}