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Posted to issues@metron.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2017/08/03 09:59:00 UTC
[jira] [Commented] (METRON-1061) Add Fuzzy String Scoring to
Stellar
[ https://issues.apache.org/jira/browse/METRON-1061?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16112521#comment-16112521 ]
ASF GitHub Bot commented on METRON-1061:
----------------------------------------
Github user cestella commented on a diff in the pull request:
https://github.com/apache/metron/pull/667#discussion_r131099946
--- Diff: metron-stellar/stellar-common/src/main/java/org/apache/metron/stellar/dsl/functions/TextFunctions.java ---
@@ -0,0 +1,63 @@
+/**
+ * Licensed to the Apache Software Foundation (ASF) under one or more contributor license
+ * agreements. See the NOTICE file distributed with this work for additional information regarding
+ * copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with the License. You may obtain
+ * a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software distributed under the License
+ * is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
+ * or implied. See the License for the specific language governing permissions and limitations under
+ * the License.
+ */
+
+package org.apache.metron.stellar.dsl.functions;
+
+import java.util.List;
+import java.util.Locale;
+import org.apache.commons.lang.StringUtils;
+import org.apache.commons.text.similarity.FuzzyScore;
+import org.apache.metron.stellar.dsl.BaseStellarFunction;
+import org.apache.metron.stellar.dsl.Stellar;
+
+public class TextFunctions {
+
+ @Stellar(name = "FUZZY_SCORE",
+ description =
+ "Returns the Fuzzy Score which indicates the similarity score between two Strings "
+ +
+ "One point is given for every matched character. Subsequent matches yield two bonus "
+ +
+ "points. A higher score indicates a higher similarity",
+ params = {
+ "string - The full term that should be matched against",
+ "string - The query that will be matched against a term",
+ "string - The IETF BCP 47 language code to use"
+ },
+ returns = "integer representing the score")
+ /**
+ * FuzzyScoreFunction exposes the Apache Commons Text Similarity FuzzyScore through
+ * Stellar.
+ */
+ public static class FuzzyScoreFunction extends BaseStellarFunction {
+
+ @Override
+ public Object apply(List<Object> list) {
+ if (list.size() < 3) {
+ throw new IllegalStateException("FUZZY_SCORE expects three args: [string, string, string]");
+ }
+ String term = (String) list.get(0);
--- End diff --
If there's an exception here (specifically a classcastexception), we're going to exception. Given the noise in the data that we have, I would expect this to happen.
I have a couple of questions:
* Do we want to return `NaN` or `Infinity` in that case and log at a warn level (or error level)?
* Do we want to throw an exception which could not possibly be caught in the stream?
I, personally, vote for the first, but I'd like to hear other people's impressions.
> Add Fuzzy String Scoring to Stellar
> -----------------------------------
>
> Key: METRON-1061
> URL: https://issues.apache.org/jira/browse/METRON-1061
> Project: Metron
> Issue Type: Improvement
> Reporter: Otto Fowler
> Assignee: Otto Fowler
>
> Fuzzy string matching or scoring generates a score based on the similarity of a string vs. a query.
> Functionality for this exists in Apache commons and should be exposed through stellar.
> "A matching algorithm that is similar to the searching algorithms implemented in editors such as Sublime Text, TextMate, Atom and others.
> One point is given for every matched character. Subsequent matches yield two bonus points. A higher score indicates a higher similarity."
> https://commons.apache.org/sandbox/commons-text/jacoco/org.apache.commons.text.similarity/FuzzyScore.java.html
> https://commons.apache.org/proper/commons-text/index.html
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