Sets the visualization style you want returned.
Namespace: NetricsServerInterface
Assembly: NetricsServerInterface (in NetricsServerInterface.dll)
Syntax
Remarks
The definition is as follows:
| 0: | no visualization (default) |
| 2: | return the match strength arrays in the NetricsSearchResults object. |
| 256: | Return the HTML visualization strings. |
Example
This sample code shows how to specify search options such as setVisStyle on a multi-query operation.
Copy Code
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// This is an example of using some search options with a multi-query where different query strings
// can be used in a search across different fields within a table. This requires first configuring a
// Simple query for each query string along with the fields to be searched and then either "And" or "Or"
// them together.
//
// In this we will query the "names" table using a query string against the "last" field and a another
// query string against the "first" field. Each of these queries are referred to as a querylet. We will
// apply a higher weight to the "last" field querylet.
using System;
using NetricsServerInterface;
class MyClass
{
private static NetricsServerInterface.NetricsServerInterface si = null;
public static void Main()
{
try
{
String host = "localhost";
int port = 5051;
si = new NetricsServerInterface.NetricsServerInterface(host, port);
// Table is the TIBCOŽ Patterns - Search table to be search/matched against query
String table = "names";
// Going to use 2 NetricsQuery for the search configuration
NetricsQuery[] nqs = new NetricsQuery[2];
// Create NetricsSearchOpts object and then set some options
NetricsSearchOpts opts = new NetricsSearchOpts();
// Set the search to SYMMETRIC scoring mode
opts.scoreType(NetricsSearchOpts.score_types.SCORE_SYMMETRIC);
// Set cutoff to exact matches plus the next 3 highest similarity score
opts.useExactPlusScoreCutoff(3);
// Set Empty Score to .2, eg. if field contains no data then use .2 score rather than 0.
opts.setEmptyScore(.2);
// Set visualization to html to add HTML tags to output to see text withing the records
// which contribute to the similarity score. We'll need to use the getHTML method on the
// NetricsSearchResult for the visualization data
opts.setVisStyle(256);
// If you want bold tags with HTML then set boldThresh to 2
opts.boldThresh(2);
// Create the NetricsSearchCfg pointing to the table to be searched/matched against
NetricsSearchCfg tblCfg = new NetricsSearchCfg(table);
// Query will contain the query string for the first querylet which is "last
String query = "brown";
// FieldNames contain the fields within the table to be searhed/matched against.
// If fieldNames is set to null then all fields will be searched/matched against
String[] fieldNames = { "last" };
// Create a Simple query for the "last" names search
nqs[0] = NetricsQuery.Simple(query, fieldNames, null);
// Set up the second Simple query
query = "dennis";
fieldNames[0] = "first";
nqs[1] = NetricsQuery.Simple(query, fieldNames, null);
// QueryletWeights is an array that must be the same length as the number of querylets
// and is the weight applied to each querylet in the search which impacts the similarity
// scrore. In this case there will be two querylets that will be ANDed together to create
// a single search configuration
double[] queryletWeights = { 1.0, .5 };
// Now AND the two Simple querys together to create the final NetricsQuery for the search
NetricsQuery nqAnded = NetricsQuery.And(queryletWeights, nqs);
// Set the NetricsSearchCfg;
tblCfg.setNetricsQuery(nqAnded);
// Perform the search/match using the NetricsSearchCfg and NetricsSearchOpts
NetricsSearchResponse resp = si.search(tblCfg, opts);
String s = "";
// Get the results of the search/match
NetricsSearchResult[] res = resp.getSearchResults();
// Create viables for result processing
String[] xfieldNames;
String[] xfields;
// Iterate through the result records
for (int i = 0; i < res.Length; i++)
{
// Get the fieldNames in the result record
xfieldNames = res[i].getFieldNames();
xfields = new String[res[0].getFieldNames().Length];
// Get the HTML data for each field in result record
for (int fieldIdx = 0; fieldIdx < xfieldNames.Length; fieldIdx++ )
{
xfields[fieldIdx] = res[i].getHtml(fieldIdx);
}
// Get the score for this result record
double score = res[i].getMatchScore();
// Build the printline for the result record
s = s + "Rank=" + i + ", Score=" + score.ToString();
for (int x = 0; x < xfields.Length; x++)
{
s = s + ", " + xfieldNames[x] + "=" + xfields[x];
}
s = s + "\n";
}
Console.WriteLine(s);
}
catch (NetricsException e)
{
Console.Write(e.getErrorDescription() + "\n");
}
}
}
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