add knowledge pipeline manager

src/aios_kernel/__init__.py

@@ -5,8 +5,6 @@ from .agent import AIAgent,AIAgentTemplete
 from .compute_kernel import ComputeKernel,ComputeTask,ComputeTaskResult,ComputeTaskState,ComputeTaskType
 from .compute_node import ComputeNode,LocalComputeNode
 from .open_ai_node import OpenAI_ComputeNode
-from .knowledge_base import KnowledgeBase, KnowledgeEnvironment
-from .knowledge_pipeline import KnowledgeEmailSource, KnowledgeDirSource, KnowledgePipline
 from .role import AIRole,AIRoleGroup
 from .workflow import Workflow
 from .bus import AIBus

src/aios_kernel/agent.py

@@ -16,7 +16,6 @@ from .compute_task import ComputeTaskResult,ComputeTaskResultCode
 from .ai_function import AIFunction
 from .environment import Environment
 from .contact_manager import ContactManager,Contact,FamilyMember
-from .knowledge_base import KnowledgeBase
 from .compute_kernel import ComputeKernel
 from .bus import AIBus
 
@@ -550,8 +549,7 @@ class AIAgent:
     def parser_learn_llm_result(self,llm_result:str):
         pass
 
-    async def _llm_read_article(self,kb:KnowledgeBase,item:KnowledgeObject) -> ComputeTaskResult:
-        #kb_env = KnowledgeBaseFileSystemEnvironment()
+    async def _llm_read_article(self,item:KnowledgeObject) -> ComputeTaskResult:
         full_content = item.get_article_full_content()
         full_content_len = ComputeKernel.llm_num_tokens_from_text(full_content,self.get_llm_model_name())
         if full_content_len < self.get_llm_learn_token_limit():

src/aios_kernel/tg_tunnel.py

@@ -10,9 +10,7 @@ from telegram import Bot
 from telegram.ext import Updater
 from telegram.error import Forbidden, NetworkError
 
-from knowledge.object.object_id import ObjectType
-
-from .knowledge_base import KnowledgeBase
+from knowledge import ObjectType, KnowledgeStore
 
 from .tunnel import AgentTunnel
 from .storage import AIStorage
@@ -236,10 +234,10 @@ class TelegramTunnel(AgentTunnel):
                     await update.message.reply_text("")
                     return
                 
-                knowledge_object = KnowledgeBase().parse_object_in_message(resp_msg.body)
+                knowledge_object = KnowledgeStore().parse_object_in_message(resp_msg.body)
                 if knowledge_object is not None:
                     if knowledge_object.get_object_type() == ObjectType.Image:
-                        image = KnowledgeBase().bytes_from_object(knowledge_object)
+                        image = KnowledgeStore().bytes_from_object(knowledge_object)
                         try:
                             async with aiofiles.open("tg_send_temp.png", mode='wb') as local_file:
                                 if local_file: