初始化仅前端版本

backend/Dockerfile

@@ -0,0 +1,18 @@
+# 使用 Python 3.11 基础镜像
+FROM python:3.11-slim
+
+# 设置工作目录
+WORKDIR /app
+
+# 复制依赖文件并安装
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# 复制所有代码
+COPY app/ ./app/
+
+# 暴露端口
+EXPOSE 8000
+
+# 启动命令
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]

backend/app/nodes/Start.py

@@ -0,0 +1,29 @@
+import base64
+from core.node_base import BaseNode
+from typing import Any, Dict
+
+
+class StartNode(BaseNode):
+    name = "开始节点"
+    inputs = {}  # 没有输入参数
+    outputs = {
+        "text": "string",  # 文本内容
+        "image": "string"  # 图片以 Base64 编码的字符串传递
+    }
+
+    async def run(self, text: str = None, image: bytes = None, **kwargs) -> Dict[str, Any]:
+        # 查空：文本不能为空字符串
+        if not text or text.strip() == "":
+            raise ValueError("文本输入不能为空")
+
+        # 查空：图片数据不能为空
+        if image is None or len(image) == 0:
+            raise ValueError("图片输入不能为空")
+
+        # 将图片字节转换为 Base64 字符串，便于在节点间传递
+        image_base64 = base64.b64encode(image).decode('utf-8')
+
+        return {
+            "text": text,
+            "image": image_base64
+        }

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
+        }

backend/requirements.txt

@@ -0,0 +1,3 @@
+fastapi==0.104.1
+uvicorn[standard]==0.24.0
+python-multipart==0.0.6