构建插件函数

 1 def get_response_from_plugins(name_space_p, post_type_p, user_state_p, data):
 2     # 存储每个函数的结果
 3     try:
 4         message = str(data["message"])
 5     except:
 6         message = ""
 7 
 8     plugin_dir = 'plugins'
 9 
10 
11     results = []
12     # 遍历plugins目录下的所有文件
13     for filename in os.listdir(plugin_dir):
14         if filename.endswith('.py'):
15             plugin_path = os.path.join(plugin_dir, filename)
16             # 动态导入模块
17             spec = importlib.util.spec_from_file_location("plugin_module", plugin_path)
18             plugin_module = importlib.util.module_from_spec(spec)
19             spec.loader.exec_module(plugin_module)
20             
21             # 获取模块中的所有函数及其优先级
22             functions_with_priority = [(getattr(plugin_module, func), getattr(plugin_module, func)._name_space, getattr(plugin_module, func)._priority, getattr(plugin_module, func)._function_type, getattr(plugin_module, func)._post_type, getattr(plugin_module, func)._user_state, getattr(plugin_module, func)._block) for func in dir(plugin_module) if callable(getattr(plugin_module, func)) and hasattr(getattr(plugin_module, func), '_priority')]
23             
24             # 根据优先级对函数进行排序
25             functions_with_priority.sort(key=lambda x: x[1])
26             
27             result_serial = None  # 初始值设为None
28             result_parallel = ''  # 用于并行执行的结果串联
29             # 依次执行函数
30             for function, name_space, priority, function_type, post_type, user_state, block in functions_with_priority:
31                 # 判断function_type、post_type和user_state是否满足特定条件
32                 if function_type == "serial" and post_type == post_type_p and user_state == user_state_p and name_space == name_space_p:
33                     if result_serial is None:
34                         # 如果result为None，则根据函数参数类型设定初始值
35                         if 'dict' in str(function.__annotations__.values()):
36                             result_serial = {}
37                         elif 'str' in str(function.__annotations__.values()):
38                             result_serial = ''
39                         # 可以根据其他可能的参数类型继续添加条件
40                     result_serial = function(data=result_serial)  # 将data作为参数传递给函数
41                     # 如果block=True，则结束循环，不再执行后续函数
42                     if getattr(function, '_block', True):
43                         break
44                 elif function_type == "parallel" and post_type == post_type_p and user_state == user_state_p and name_space == name_space_p:
45                     result_parallel += f"{function(data)}"
46                     result_parallel += "\n"
47 
48                     # 如果block=True，则结束循环，不再执行后续函数
49                     if getattr(function, '_block', True):
50                         break
51             
52             # 将每个函数的结果存储起来
53             results.append(f"{result_parallel}" + "\n" + f"{result_serial}")
54     
55     # 将所有结果组合起来
56     result = "\n".join(results)
57 
58     # 输出结果
59     print(f"插件返回结果：{result}")
60     # 准备问题（将从插件获取的结果与当前问题拼接成上下文供LLM推理)
61     query = f"{result}" + f"{message}"
62     return query