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Spark implementation that takes a set of texts and use genetic programming to discover a regex for grok that will match other similar texts

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spark-ml-regex-generator

Spark implementation that takes a set of texts and use genetic programming which discover regex for grok that will match other similar texts

Install

Add the following dependency to your POM file:

<dependency>
  <groupId>com.github.chen0040</groupId>
  <artifactId>spark-ml-regex-generator</artifactId>
  <version>1.0.1</version>
</dependency>

Usage

The sample code below shows how the gp regex cultivator discover the regex for the message "":

GpCultivator generator = new GpCultivator();
      generator.setDisplayEvery(2);
      generator.setPopulationSize(1000);
      generator.setMaxGenerations(50);

List<String> trainingData = new ArrayList<>();
trainingData.add("user root login at 127.0.0.1");

JavaSparkContext context = SparkContextFactory.createSparkContext("testing-1");
Grok generated_grok = generator.fit(context.parallelize(trainingData));

System.out.println("user root login at 127.0.0.1");
System.out.println(generator.getRegex()); // this is the regex generated


Match matched = generated_grok.match("user root login at 127.0.0.1");
matched.captures();
System.out.println(matched.toJson());

Below is the print out from the sample code above:

...
Generation: 4 (Pop: 1000), elapsed: 3 seconds
Global Cost: 0.2	Current Cost: 0.2
...
Global Cost: 0.14285714285714285	Current Cost: 0.16666666666666666
user root login at 127.0.0.1
%{LOGLEVEL} %{USER} %{URIPROTO} %{URIHOST} %{IPV4}
{"IPORHOST":"at","IPV4":"127.0.0.1","LOGLEVEL":"er","URIHOST":"at","URIPROTO":"login","USER":"root"}

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Spark implementation that takes a set of texts and use genetic programming to discover a regex for grok that will match other similar texts

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