1 files changed, 66 insertions, 20 deletions
diff --git a/src/conventionalrp/core/processor.py b/src/conventionalrp/core/processor.py
index 4e2f573..bc74ffb 100644
--- a/src/conventionalrp/core/processor.py
+++ b/src/conventionalrp/core/processor.py
@@ -1,22 +1,68 @@
+from typing import List, Dict, Any, Optional
+
+
 class Processor:
-    def __init__(self, rules):
-        self.rules = rules
+    """处理器，用于处理解析后的token"""
+    
+    def __init__(self, rules: Optional[Dict[str, Any]] = None):
+        """
+        初始化处理器
+        
+        Args:
+            rules: 处理规则（可选）
+        """
+        self.rules = rules or {}
 
-    def process_tokens(self, tokens):
+    def process_tokens(self, tokens: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
+        """
+        处理token列表
+        
+        Args:
+            tokens: 解析后的token列表
+            
+        Returns:
+            处理后的数据列表
+        """
         processed_data = []
         for token in tokens:
-            processed_data.append(self.apply_rules(token))
+            processed_token = self.apply_rules(token)
+            processed_data.append(processed_token)
         return processed_data
 
-    def apply_rules(self, token):
-        # Implement rule application logic here
-        for rule in self.rules:
-            if rule.matches(token):
-                return rule.apply(token)
-        return token
+    def apply_rules(self, token: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        对单个token应用规则
+        
+        Args:
+            token: 单个token
+            
+        Returns:
+            处理后的token
+        """
+        # 基础实现：直接返回token
+        # 可以在此添加更多处理逻辑
+        processed = token.copy()
+        
+        # 添加处理时间戳
+        if "timestamp" in processed:
+            processed["processed"] = True
+            
+        return processed
 
-    def generate_output(self, processed_data, format_type):
-        # Implement output generation logic based on format_type
+    def generate_output(self, processed_data: List[Dict[str, Any]], format_type: str) -> str:
+        """
+        生成指定格式的输出
+        
+        Args:
+            processed_data: 处理后的数据
+            format_type: 输出格式 (json/html/markdown)
+            
+        Returns:
+            格式化后的字符串
+            
+        Raises:
+            ValueError: 不支持的格式类型
+        """
         if format_type == "json":
             return self.generate_json_output(processed_data)
         elif format_type == "html":
@@ -24,21 +70,21 @@ class Processor:
         elif format_type == "markdown":
             return self.generate_markdown_output(processed_data)
         else:
-            raise ValueError("Unsupported format type")
+            raise ValueError(f"Unsupported format type: {format_type}")
 
-    def generate_json_output(self, processed_data):
+    def generate_json_output(self, processed_data: List[Dict[str, Any]]) -> str:
+        """生成JSON格式输出"""
         import json
+        return json.dumps(processed_data, ensure_ascii=False, indent=2)
 
-        return json.dumps(processed_data)
-
-    def generate_html_output(self, processed_data):
-        # Implement HTML output generation
+    def generate_html_output(self, processed_data: List[Dict[str, Any]]) -> str:
+        """生成HTML格式输出"""
         return (
             "<html><body>"
             + "".join(f"<p>{data}</p>" for data in processed_data)
             + "</body></html>"
         )
 
-    def generate_markdown_output(self, processed_data):
-        # Implement Markdown output generation
+    def generate_markdown_output(self, processed_data: List[Dict[str, Any]]) -> str:
+        """生成Markdown格式输出"""
         return "\n".join(f"- {data}" for data in processed_data)