初始化仅前端版本

backend/app/nodes/text_splitter_node.py

@@ -0,0 +1,56 @@
+import re
+from core.node_base import BaseNode
+from typing import List, Dict, Any
+
+
+class TextSplitterNode(BaseNode):
+    name = "文本分割节点"
+    inputs = {"text": "string"}
+    outputs = {
+        "outline": "list",  # 大纲部分列表
+        "requirement": "list",  # 要求部分列表
+        "dialogue": "list",  # 对话部分列表
+        "weak_guidance": "list"  # 弱指引部分列表
+    }
+
+    async def run(self, text: str) -> Dict[str, List[str]]:
+        # 正则匹配三种括号内的内容
+        # 注意：此正则假设括号不嵌套，且没有转义字符
+        pattern = r'\{([^{}]*)\}|\(([^()]*)\)|“([^”]*)”'
+
+        outline = []
+        requirement = []
+        dialogue = []
+        weak_guidance = []
+
+        pos = 0
+        for match in re.finditer(pattern, text):
+            start, end = match.span()
+            # 处理匹配前的普通文本（弱指引）
+            if start > pos:
+                weak_part = text[pos:start].strip()
+                if weak_part:
+                    weak_guidance.append(weak_part)
+
+            # 根据捕获组确定类型
+            if match.group(1) is not None:  # 大括号
+                outline.append(match.group(1).strip())
+            elif match.group(2) is not None:  # 小括号
+                requirement.append(match.group(2).strip())
+            elif match.group(3) is not None:  # 中文引号
+                dialogue.append(match.group(3).strip())
+
+            pos = end
+
+        # 处理剩余的普通文本
+        if pos < len(text):
+            weak_part = text[pos:].strip()
+            if weak_part:
+                weak_guidance.append(weak_part)
+
+        return {
+            "outline": outline,
+            "requirement": requirement,
+            "dialogue": dialogue,
+            "weak_guidance": weak_guidance
+        }