[Feature][transform-v2] Add a 'RegexParseTransform' plugin in Apache SeaTunnel to parse irregular logs into structured logs (#9308)

[ShiDSheng]

Purpose of this pull request

Add a 'RegexParseTransform' plugin in Apache SeaTunnel to parse irregular logs into structured logs, close #9308

Does this PR introduce any user-facing change?

How was this patch tested?

Check list

• If any new Jar binary package adding in your PR, please add License Notice according
  New License Guide
• If necessary, please update the documentation to describe the new feature. https://github.com/apache/seatunnel/tree/dev/docs
• If you are contributing the connector code, please check that the following files are updated:
  1. Update plugin-mapping.properties and add new connector information in it
  2. Update the pom file of seatunnel-dist
  3. Add ci label in label-scope-conf
  4. Add e2e testcase in seatunnel-e2e
  5. Update connector plugin_config

[Copilot]

Pull Request Overview

This PR introduces a new plugin, RegexParseTransform, to parse irregular logs into structured logs.

• Implements the RegexParseTransform plugin class that applies regex-based parsing on log fields.
• Adds configuration options for the regex, the field to be parsed, and mappings for capture groups.
• Registers the plugin through its factory and integrates with the SeaTunnel table transform APIs.

Reviewed Changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 2 comments.

File	Description
RegexParseTransformFactory.java	Registers the new RegexParseTransform with options configuration.
RegexParseTransformConfig.java	Declares configuration options for regex parsing including the field, regex pattern, and group mapping.
RegexParseTransform.java	Implements the transformation logic using regex matching and capture group extraction.

[Copilot]

Consider updating the error message to a more descriptive and grammatically clear message (e.g., "regex_parse_field not found in table schema") to improve clarity for users.

Suggested change

	throw new RuntimeException("regex_parse_field not Contained");
	throw new RuntimeException("regex_parse_field not found in the table schema");

[Copilot]

Using NumberUtils.toInt(index) without validating the numeric conversion may silently default invalid strings to 0. It is recommended to validate the group index value to ensure the configuration is correct.

Suggested change

	.map(index -> matcher.group(NumberUtils.toInt(index)))
	.map(index -> {
	if (!StringUtils.isNumeric(index)) {
	throw new RuntimeException("Invalid group index: " + index + ". Group index must be a numeric string.");
	}
	return matcher.group(Integer.parseInt(index));
	})

[Hisoka-X]

Please add test case, docs and e2e.

[nielifeng]

@ShiDSheng