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refactor(workflow): convert all plugins to class/struct + factory pattern
- Python: class extending NodeExecutor + factory.py (80+ plugins) - TypeScript: class implements NodeExecutor + factory.ts (7 groups, 116 classes) - Go: struct with methods + factory.go (36 plugins) - Rust: struct impl NodeExecutor trait + factory.rs (54 plugins) - Mojo: struct + factory.mojo (11 plugins) All package.json files now include: - files array listing source files - metadata.class/struct field - metadata.entrypoint field This enables a unified plugin loading system across all languages with no import side effects (Spring-style DI pattern). Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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7
workflow/plugins/python/string/string_split/factory.py
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7
workflow/plugins/python/string/string_split/factory.py
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@@ -0,0 +1,7 @@
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"""Factory for StringSplit plugin."""
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from .string_split import StringSplit
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def create():
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return StringSplit()
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@@ -1,13 +1,16 @@
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{
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"name": "@metabuilder/string_split",
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"version": "1.0.0",
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"description": "string_split plugin",
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"description": "Split string by separator",
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"author": "MetaBuilder",
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"license": "MIT",
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"keywords": ["string", "workflow", "plugin"],
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"main": "string_split.py",
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"files": ["string_split.py", "factory.py"],
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"metadata": {
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"plugin_type": "string.split",
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"category": "string"
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"category": "string",
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"class": "StringSplit",
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"entrypoint": "execute"
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}
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}
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@@ -1,15 +1,19 @@
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"""Workflow plugin: split string."""
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from ...base import NodeExecutor
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def run(_runtime, inputs):
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class StringSplit(NodeExecutor):
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"""Split string by separator."""
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text = inputs.get("text", "")
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separator = inputs.get("separator", " ")
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max_splits = inputs.get("max_splits")
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if max_splits is not None:
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result = text.split(separator, max_splits)
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else:
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result = text.split(separator)
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node_type = "string.split"
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category = "string"
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description = "Split string by separator"
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return {"result": result}
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def execute(self, inputs, runtime=None):
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text = str(inputs.get("text", inputs.get("value", "")))
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separator = inputs.get("separator", " ")
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max_splits = inputs.get("max_splits", inputs.get("limit"))
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if max_splits is not None:
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return {"result": text.split(separator, max_splits)}
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return {"result": text.split(separator)}
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