The technical principles of the scannit framework in the Java class library

The Scannit framework is a tool in the Java class library to scan and analyze text. Its technical principles based on regular expression enable it to effectively extract information from the text according to the specified mode.This article will explore the technical principles of the Scannit framework and provide an application case based on the framework. 1. Technical principles inquiry 1. Regular expression: The Scannit framework uses regular expressions to define and match the specified mode.The regular expression is a string pattern described by a specific grammar, which is used to match, find and extract in the text.Scannit uses regular expressions to identify information that needs to be extracted from the text and extract it as specific data. 2. Scanner: The Scannit framework realizes the scanning and analysis of text by creating a scanner object.The scanner is similar to a pointer that mobilizes in the text and matches and extracts according to the specified mode. 3. Rule: The Scannit framework defines and matches the information that needs to be extracted by rules.Rules are an object composed of a regular expression and callback function, which is used to describe the content that needs to be extracted from the text and the processing logic after extraction. 4. Return function: The Scannit framework processs data extracted from the text by callback function.The callback function can further process, convert and store the extracted data. 2. Application case Suppose we have a text file containing student information, and we want to extract the students' names and scores from it, and then output to the console.We can use the Scannit framework to implement this feature. The following is a simple Java code example: import com.scannit.scanner.Scanner; import com.scannit.rule.Rule; public class StudentInfoExtractor { public static void main(String[] args) { String text = "Name: Zhang San, score: 90; name: Li Si, score: 80; Name: Wang Wu, score // Construct a scanner Scanner scanner = new Scanner(text); // Definition rules Rule name String name = matchResult.group(1); System.out.println ("Name:" + Name); }); Rule Scorerure = NEW RULE ("fractions: (\\ d+)", matchresult-> { int score = Integer.parseInt(matchResult.group(1)); System.out.println (fraction: " + score); }); // Add rules scanner.addRule(nameRule); scanner.addRule(scoreRule); // Start scan and analysis scanner.scan(); // Turn off the scanner scanner.close(); } } In the above code, we first created a string containing student information.Then, we define two rules, which are used to match the pattern of names and scores, and process the extracted data from the regulatory callback function.Then, we add these two rules to the scanner, and call the scan () method to start scanning and analysis.Finally, we turn off the scanner. Run the above code, the output will be: Name: Zhang San Score: 90 Name: Li Si Score: 80 Name: Wang Wu Score: 85 By using the Scannit framework, we successfully extract the students' names and scores from the text and output them to the console. In summary, the Scannit framework uses regular expressions to achieve scanning and analysis of text, and define and process information that needs to be extracted through rules and callback functions.By flexibly using the Scannit framework, we can easily extract the required data from the text and perform corresponding processing and storage.