提交baseline例子；修改context-fill 格式识别方式

metagpt/actions/action_node.py

@@ -486,11 +486,18 @@ class ActionNode:
 
     def get_field_names(self):
         """
-        Get the field names from the Pydantic model associated with this ActionNode.
+        获取与此ActionNode关联的Pydantic模型的字段名称。
         """
         model_class = self.create_class()
         return model_class.model_fields.keys()
 
+    def get_field_types(self):
+        """
+        获取与此ActionNode关联的Pydantic模型的字段类型。
+        """
+        model_class = self.create_class()
+        return {field_name: field.annotation for field_name, field in model_class.model_fields.items()}
+
     def xml_compile(self, context):
         # TODO 再来一版
 
@@ -529,20 +536,44 @@ class ActionNode:
 
     async def context_fill(self, context):
         """
-        Fill Context with XML TAG
+        使用XML标签填充上下文并根据字段类型进行转换，包括字符串、整数、布尔值、列表和字典类型
         """
         field_names = self.get_field_names()
+        field_types = self.get_field_types()
+
         extracted_data = {}
         content = await self.llm.aask(context)
 
-        # TODO 自动解析类型标注的功能
-
         for field_name in field_names:
-            # Use regex to find content within XML tags matching the field name
             pattern = rf"<{field_name}>(.*?)</{field_name}>"
             match = re.search(pattern, content, re.DOTALL)
             if match:
-                extracted_data[field_name] = match.group(1).strip()
+                raw_value = match.group(1).strip()
+                field_type = field_types.get(field_name)
+                
+                if field_type == str:
+                    extracted_data[field_name] = raw_value
+                elif field_type == int:
+                    try:
+                        extracted_data[field_name] = int(raw_value)
+                    except ValueError:
+                        extracted_data[field_name] = 0  # 或者其他默认值
+                elif field_type == bool:
+                    extracted_data[field_name] = raw_value.lower() in ('true', 'yes', '1', 'on', 'True')
+                elif field_type == list:
+                    try:
+                        extracted_data[field_name] = eval(raw_value)
+                        if not isinstance(extracted_data[field_name], list):
+                            raise ValueError
+                    except:
+                        extracted_data[field_name] = []  # 默认空列表
+                elif field_type == dict:
+                    try:
+                        extracted_data[field_name] = eval(raw_value)
+                        if not isinstance(extracted_data[field_name], dict):
+                            raise ValueError
+                    except:
+                        extracted_data[field_name] = {}  # 默认空字典
 
         return extracted_data