define bas environment
This commit is contained in:
tsukasa
@@ -1,109 +1,252 @@
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# this env is designed for workflow owner filesystem, support file/directory operations
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import hashlib
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import json
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import subprocess
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import logging
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import tempfile
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import threading
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import traceback
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import time
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import ast
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import sys
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import os
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import re
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import asyncio
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import aiofiles
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from typing import Any,List
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import os
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import chardet
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from markdown import Markdown
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import PyPDF2
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from ..proto.agent_msg import *
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from ..agent.agent_base import AgentTodo,AgentPrompt,AgentTodoResult
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from ..agent.ai_function import AIFunction,SimpleAIFunction
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from ..agent.agent_base import AgentMsg,AgentTodo,AgentPrompt,AgentTodoResult
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from ..agent.ai_function import AIFunction,SimpleAIFunction, SimpleAIOperation
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from ..storage.storage import AIStorage,ResourceLocation
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from .simple_kb_db import SimpleKnowledgeDB
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from .environment import Environment,EnvironmentEvent
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from .environment import SimpleEnvironment, CompositeEnvironment
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logger = logging.getLogger(__name__)
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class WorkspaceEnvironment(Environment):
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def __init__(self, env_id: str) -> None:
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super().__init__(env_id)
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myai_path = AIStorage.get_instance().get_myai_dir()
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self.root_path = f"{myai_path}/workspace/{env_id}"
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class TodoListType:
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TO_WORK = "work"
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TO_LEARN = "learn"
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class TodoListEnvironment(SimpleEnvironment):
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def __init__(self, root_path, list_type) -> None:
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super.__init__(list_type)
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self.root_path = os.path.join(root_path, list_type)
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if not os.path.exists(self.root_path):
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os.makedirs(self.root_path+"/todos")
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os.makedirs(self.root_path)
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self.known_todo = {}
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self.kb_db = SimpleKnowledgeDB(f"{self.root_path}/kb.db")
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self.doc_dirs = {}
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self._scan_thread = None
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self._scan_dirthread = None
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async def create_todo(params):
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todoObj = AgentTodo.from_dict(params["todo"])
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parent_id = params.get("parent")
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return await self.create_todo(parent_id,todoObj)
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self.add_ai_operation(SimpleAIOperation(
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op="create_todo",
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description="create todo",
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func_handler=create_todo,
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))
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async def update_todo(params):
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todo_id = params["id"]
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new_stat = params["state"]
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return await self.update_todo(todo_id,new_stat)
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self.add_ai_operation(SimpleAIOperation(
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op="update_todo",
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description="update todo",
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func_handler=update_todo,
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))
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# Task/todo system , create,update,delete,query
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async def get_todo_tree(self,path:str = None,deep:int = 4):
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if path:
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directory_path = os.path.join(self.root_path, path)
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else:
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directory_path = self.root_path
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str_result:str = "/todos\n"
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todo_count:int = 0
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def set_root_path(self,path:str):
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self.root_path = path
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def get_prompt(self) -> AgentMsg:
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return None
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def get_role_prompt(self,role_id:str) -> AgentPrompt:
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return None
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def get_knowledge_base(self,root_dir=None,indent=0) -> str:
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pass
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def get_do_prompt(self,todo:AgentTodo=None)->AgentPrompt:
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return None
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# result mean: list[op_error_str],have_error
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async def exec_op_list(self,oplist:List,agent_id:str)->tuple[List[str],bool]:
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result_str = "op list is none"
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if oplist is None:
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return None,False
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result_str = []
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have_error = False
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for op in oplist:
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if op["op"] == "create":
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await self.create(op["path"],op["content"])
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elif op["op"] == "write_file":
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is_append = op.get("is_append")
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if is_append is None:
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is_append = False
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error_str = await self.write(op["path"],op["content"],is_append)
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elif op["op"] == "delete":
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error_str = await self.delete(op["path"])
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elif op["op"] == "rename":
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error_str = await self.rename(op["path"],op["new_name"])
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elif op["op"] == "mkdir":
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error_str = await self.mkdir(op["path"])
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elif op["op"] == "create_todo":
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todoObj = AgentTodo.from_dict(op["todo"])
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todoObj.worker = agent_id
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todoObj.createor = agent_id
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parent_id = op.get("parent")
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error_str = await self.create_todo(parent_id,todoObj)
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elif op["op"] == "update_todo":
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todo_id = op["id"]
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new_stat = op["state"]
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error_str = await self.update_todo(todo_id,new_stat)
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else:
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logger.error(f"execute op list failed: unknown op:{op['op']}")
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error_str = f"execute op list failed: unknown op:{op['op']}"
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async def scan_dir(directory_path:str,deep:int):
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nonlocal str_result
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nonlocal todo_count
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if deep <= 0:
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return
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if error_str:
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have_error = True
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result_str.append(error_str)
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else:
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result_str.append(f"execute success!")
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if os.path.exists(directory_path) is False:
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return
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for entry in os.scandir(directory_path):
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is_dir = entry.is_dir()
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if not is_dir:
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continue
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if entry.name.startswith("."):
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continue
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todo_count = todo_count + 1
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str_result = str_result + f"{' '*(4-deep)}{entry.name}\n"
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await scan_dir(entry.path,deep-1)
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await scan_dir(directory_path,deep)
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return str_result,todo_count
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async def get_todo_list(self,agent_id:str,path:str = None)->List[AgentTodo]:
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logger.info("get_todo_list:%s,%s",agent_id,path)
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if path:
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directory_path = os.path.join(self.root_path, path)
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else:
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directory_path = self.root_path
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result_list:List[AgentTodo] = []
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async def scan_dir(directory_path:str,deep:int,parent:AgentTodo=None):
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nonlocal result_list
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if os.path.exists(directory_path) is False:
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return
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for entry in os.scandir(directory_path):
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is_dir = entry.is_dir()
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if not is_dir:
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continue
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if entry.name.startswith("."):
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continue
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todo = await self.get_todo_by_fullpath(entry.path)
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if todo:
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if todo.worker:
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if todo.worker != agent_id:
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continue
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if parent:
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parent.sub_todos[todo.todo_id] = todo
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result_list.append(todo)
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todo.rank = int(todo.create_time)>>deep
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await scan_dir(entry.path,deep + 1,todo)
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return
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await scan_dir(directory_path,0)
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#sort by rank
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result_list.sort(key=lambda x:(x.rank,x.title))
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logger.info("get_todo_list return,todolist.length() is %d",len(result_list))
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return result_list
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async def get_todo_by_fullpath(self,path:str) -> AgentTodo:
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logger.info("get_todo_by_fullpath:%s",path)
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detail_path = path + "/detail"
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try:
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async with aiofiles.open(detail_path, mode='r', encoding="utf-8") as f:
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content = await f.read(4096)
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logger.debug("get_todo_by_fullpath:%s,content:%s",path,content)
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todo_dict = json.loads(content)
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result_todo = AgentTodo.from_dict(todo_dict)
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if result_todo:
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relative_path = os.path.relpath(path, self.root_path)
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if not relative_path.startswith('/'):
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relative_path = '/' + relative_path
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result_todo.todo_path = relative_path
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self.known_todo[result_todo.todo_id] = result_todo
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else:
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logger.error("get_todo_by_path:%s,parse failed!",path)
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return result_todo
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except Exception as e:
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logger.error("get_todo_by_path:%s,failed:%s",path,e)
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return None
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return result_str,have_error
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async def get_todo(self,id:str) -> AgentTodo:
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return self.known_todo.get(id)
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async def create_todo(self,parent_id:str,todo:AgentTodo) -> str:
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try:
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if parent_id:
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if parent_id not in self.known_todo:
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logger.error("create_todo failed: parent_id not found!")
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return False
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parent_path = self.known_todo.get(parent_id).todo_path
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todo_path = f"{parent_path}/{todo.title}"
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else:
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todo_path = todo.title
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dir_path = f"{self.root_path}/{todo_path}"
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os.makedirs(dir_path)
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detail_path = f"{dir_path}/detail"
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if todo.todo_path is None:
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todo.todo_path = todo_path
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logger.info("create_todo %s",detail_path)
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async with aiofiles.open(detail_path, mode='w', encoding="utf-8") as f:
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await f.write(json.dumps(todo.to_dict()))
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self.known_todo[todo.todo_id] = todo
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except Exception as e:
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logger.error("create_todo failed:%s",e)
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return str(e)
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return None
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async def update_todo(self,todo_id:str,new_stat:str)->str:
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try:
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todo : AgentTodo = self.known_todo.get(todo_id)
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if todo:
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todo.state = new_stat
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detail_path = f"{self.root_path}/{todo.todo_path}/detail"
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async with aiofiles.open(detail_path, mode='w', encoding="utf-8") as f:
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await f.write(json.dumps(todo.to_dict()))
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return None
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else:
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return "todo not found."
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except Exception as e:
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return str(e)
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async def append_worklog(self, todo:AgentTodo, result:AgentTodoResult):
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worklog = f"{self.root_path}/{todo.todo_path}/.worklog"
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async with aiofiles.open(worklog, mode='w+', encoding="utf-8") as f:
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content = await f.read()
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if len(content) > 0:
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json_obj = json.loads(content)
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else:
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json_obj = {}
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logs = json_obj.get("logs")
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if logs is None:
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logs = []
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logs.append(result.to_dict())
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json_obj["logs"] = logs
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await f.write(json.dumps(json_obj))
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class FilesystemEnvironment(SimpleEnvironment):
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def __init__(self, root_path: str, env_id: str) -> None:
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super().__init__(env_id)
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self.root_path = root_path
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# if op["op"] == "create":
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# await self.create(op["path"],op["content"])
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async def write(op):
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is_append = op.get("is_append")
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if is_append is None:
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is_append = False
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return await self.write(op["path"],op["content"],is_append)
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self.add_ai_operation(SimpleAIOperation(
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op="write",
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description="write file",
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func_handler=write,
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))
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async def delete(op):
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return await self.delete(op["path"])
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self.add_ai_operation(SimpleAIOperation(
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op="delete",
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description="delete path",
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func_handler=delete,
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))
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async def rename(op):
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return await self.move(op["path"],op["new_name"])
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self.add_ai_operation(SimpleAIOperation(
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op="rename",
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description="rename path",
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func_handler=rename,
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))
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# file system operation: list,read,write,delete,move,stat
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# inner_function
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@@ -201,560 +344,8 @@ class WorkspaceEnvironment(Environment):
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return str(e)
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return None
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# TODO use diff to update large file content
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async def update_by_diff(self,path:str,diff):
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pass
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# doc system （read_only,agent cann't modify doc）
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# inner_function
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async def list_db(self) -> str:
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pass
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# inner_function
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async def get_db_desc(self,db_name:str) -> str:
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pass
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# inner_function
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async def query(self,db_name:str,sql:str) -> str:
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pass
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# search (web)
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# inner_function
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async def google_search(self,keyword:str,opt=None) -> str:
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pass
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# inner_function
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async def local_search(self,keyword:str,root_path=None ,opt=None) -> str:
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pass
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# inner_function, might be return a image is better
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async def web_get(self,url:str) -> str:
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pass
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# inner_function
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async def blockchain_get(self,chainid:str,query:dict) -> str:
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pass
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# code interpreter
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# inner_function or operation
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async def eval_code(self,pycode:str) -> str:
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pass
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# operation or inner_function
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async def improve_code(self,path:str):
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pass
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# operation or inner_function
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async def run(self,file_path:str)->str:
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pass
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# operation or inner_function
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async def pub_service(self,project_path:str):
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pass
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# operation or inner_function
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async def exec_tx(self,chain_id:str,tx:dict) -> str:
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pass
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# social ability
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# operation or inner_function
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async def post_message(self,target:str,msg:AgentMsg,wait_time) -> AgentMsg:
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pass
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# operation or inner_function
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async def add_contact(self,name:str,contact_info) -> str:
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pass
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# inner_function , include contact realtime info
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async def get_contact(self,name_list:List[str],opt:dict) -> List:
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pass
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# Task/todo system , create,update,delete,query
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async def get_todo_tree(self,path:str = None,deep:int = 4):
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if path:
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directory_path = self.root_path + "/todos/" + path
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else:
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directory_path = self.root_path + "/todos"
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str_result:str = "/todos\n"
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todo_count:int = 0
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async def scan_dir(directory_path:str,deep:int):
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nonlocal str_result
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nonlocal todo_count
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if deep <= 0:
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return
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if os.path.exists(directory_path) is False:
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return
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for entry in os.scandir(directory_path):
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is_dir = entry.is_dir()
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if not is_dir:
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continue
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if entry.name.startswith("."):
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continue
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todo_count = todo_count + 1
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str_result = str_result + f"{' '*(4-deep)}{entry.name}\n"
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await scan_dir(entry.path,deep-1)
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await scan_dir(directory_path,deep)
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return str_result,todo_count
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async def get_todo_list(self,agent_id:str,path:str = None)->List[AgentTodo]:
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logger.info("get_todo_list:%s,%s",agent_id,path)
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if path:
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directory_path = self.root_path + "/todos/" + path
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else:
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directory_path = self.root_path + "/todos"
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result_list:List[AgentTodo] = []
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async def scan_dir(directory_path:str,deep:int,parent:AgentTodo=None):
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nonlocal result_list
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if os.path.exists(directory_path) is False:
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return
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for entry in os.scandir(directory_path):
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is_dir = entry.is_dir()
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if not is_dir:
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continue
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if entry.name.startswith("."):
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continue
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todo = await self.get_todo_by_fullpath(entry.path)
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if todo:
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if todo.worker:
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if todo.worker != agent_id:
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continue
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if parent:
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parent.sub_todos[todo.todo_id] = todo
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result_list.append(todo)
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todo.rank = int(todo.create_time)>>deep
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await scan_dir(entry.path,deep + 1,todo)
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return
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await scan_dir(directory_path,0)
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#sort by rank
|
||||
result_list.sort(key=lambda x:(x.rank,x.title))
|
||||
logger.info("get_todo_list return,todolist.length() is %d",len(result_list))
|
||||
return result_list
|
||||
|
||||
async def get_todo_by_fullpath(self,path:str) -> AgentTodo:
|
||||
logger.info("get_todo_by_fullpath:%s",path)
|
||||
|
||||
detail_path = path + "/detail"
|
||||
try:
|
||||
async with aiofiles.open(detail_path, mode='r', encoding="utf-8") as f:
|
||||
content = await f.read(4096)
|
||||
logger.debug("get_todo_by_fullpath:%s,content:%s",path,content)
|
||||
todo_dict = json.loads(content)
|
||||
result_todo = AgentTodo.from_dict(todo_dict)
|
||||
if result_todo:
|
||||
relative_path = os.path.relpath(path, self.root_path + "/todos/")
|
||||
if not relative_path.startswith('/'):
|
||||
relative_path = '/' + relative_path
|
||||
result_todo.todo_path = relative_path
|
||||
self.known_todo[result_todo.todo_id] = result_todo
|
||||
else:
|
||||
logger.error("get_todo_by_path:%s,parse failed!",path)
|
||||
|
||||
return result_todo
|
||||
except Exception as e:
|
||||
logger.error("get_todo_by_path:%s,failed:%s",path,e)
|
||||
return None
|
||||
|
||||
async def get_todo(self,id:str) -> AgentTodo:
|
||||
return self.known_todo.get(id)
|
||||
|
||||
async def create_todo(self,parent_id:str,todo:AgentTodo) -> str:
|
||||
try:
|
||||
if parent_id:
|
||||
if parent_id not in self.known_todo:
|
||||
logger.error("create_todo failed: parent_id not found!")
|
||||
return False
|
||||
|
||||
parent_path = self.known_todo.get(parent_id).todo_path
|
||||
todo_path = f"{parent_path}/{todo.title}"
|
||||
else:
|
||||
todo_path = todo.title
|
||||
|
||||
dir_path = f"{self.root_path}/todos/{todo_path}"
|
||||
|
||||
os.makedirs(dir_path)
|
||||
detail_path = f"{dir_path}/detail"
|
||||
if todo.todo_path is None:
|
||||
todo.todo_path = todo_path
|
||||
logger.info("create_todo %s",detail_path)
|
||||
async with aiofiles.open(detail_path, mode='w', encoding="utf-8") as f:
|
||||
await f.write(json.dumps(todo.to_dict()))
|
||||
self.known_todo[todo.todo_id] = todo
|
||||
except Exception as e:
|
||||
logger.error("create_todo failed:%s",e)
|
||||
return str(e)
|
||||
|
||||
return None
|
||||
|
||||
async def update_todo(self,todo_id:str,new_stat:str)->str:
|
||||
try:
|
||||
todo : AgentTodo = self.known_todo.get(todo_id)
|
||||
if todo:
|
||||
todo.state = new_stat
|
||||
detail_path = f"{self.root_path}/todos/{todo.todo_path}/detail"
|
||||
async with aiofiles.open(detail_path, mode='w', encoding="utf-8") as f:
|
||||
await f.write(json.dumps(todo.to_dict()))
|
||||
return None
|
||||
else:
|
||||
return "todo not found."
|
||||
except Exception as e:
|
||||
return str(e)
|
||||
|
||||
async def append_worklog(self,todo:AgentTodo,result:AgentTodoResult):
|
||||
worklog = f"{self.root_path}/todos/{todo.todo_path}/.worklog"
|
||||
|
||||
async with aiofiles.open(worklog, mode='w+', encoding="utf-8") as f:
|
||||
content = await f.read()
|
||||
if len(content) > 0:
|
||||
json_obj = json.loads(content)
|
||||
else:
|
||||
json_obj = {}
|
||||
logs = json_obj.get("logs")
|
||||
if logs is None:
|
||||
logs = []
|
||||
logs.append(result.to_dict())
|
||||
json_obj["logs"] = logs
|
||||
await f.write(json.dumps(json_obj))
|
||||
|
||||
async def set_wakeup_timer(self,todo_id:str,timestamp:int) -> str:
|
||||
pass
|
||||
|
||||
# knowledge base system
|
||||
def get_knowledge_base_ai_functions(self):
|
||||
all_inner_function = []
|
||||
|
||||
all_inner_function.append(SimpleAIFunction("get_knowledge_catalog","get knowledge catalog in tree format",
|
||||
self.get_knowledege_catalog,
|
||||
{"path":f"catalog path,none is /","depth":"max depth of catalog tree,default is 4"}))
|
||||
all_inner_function.append(SimpleAIFunction("get_knowledge","get knowledge metadata",
|
||||
self.get_knowledge,
|
||||
{"path":f"knowledge path"}))
|
||||
all_inner_function.append(SimpleAIFunction("load_knowledge_content","load knowledge content",
|
||||
self.load_knowledge_content,
|
||||
{"path":f"knowledge path","pos":"start position of content","length":"length of content"}))
|
||||
result_func = []
|
||||
result_len = 0
|
||||
for inner_func in all_inner_function:
|
||||
func_name = inner_func.get_name()
|
||||
|
||||
this_func = {}
|
||||
this_func["name"] = func_name
|
||||
this_func["description"] = inner_func.get_description()
|
||||
this_func["parameters"] = inner_func.get_parameters()
|
||||
result_len += len(json.dumps(this_func)) / 4
|
||||
result_func.append(this_func)
|
||||
|
||||
return result_func,result_len
|
||||
|
||||
async def get_knowledege_catalog(self,path:str=None,only_dir =True,max_depth:int=5)->str:
|
||||
if path:
|
||||
full_path = f"{self.root_path}/knowledge/{path}"
|
||||
else:
|
||||
full_path = f"{self.root_path}/knowledge"
|
||||
|
||||
catlogs,file_count = await self.get_directory_structure(full_path,max_depth,only_dir)
|
||||
return catlogs
|
||||
|
||||
async def get_directory_structure(self,root_dir, max_depth:int=4, only_dir=True, indent=1):
|
||||
file_count = 0
|
||||
structure_str = ''
|
||||
if os.path.isdir(root_dir):
|
||||
sub_files = []
|
||||
with os.scandir(root_dir) as it:
|
||||
for entry in it:
|
||||
if entry.is_dir():
|
||||
sub_structure, sub_count = await self.get_directory_structure(entry.path, max_depth, only_dir, indent + 1)
|
||||
if sub_structure:
|
||||
structure_str += sub_structure
|
||||
file_count += sub_count
|
||||
else:
|
||||
file_count += 1
|
||||
sub_files.append(entry.name)
|
||||
|
||||
if only_dir is False:
|
||||
for file_name in sub_files:
|
||||
structure_str = structure_str + ' ' * (indent+1) + file_name + '\n'
|
||||
|
||||
dir_name = os.path.basename(root_dir)
|
||||
dir_info = f"{dir_name} <count: {file_count}>"
|
||||
|
||||
|
||||
structure_str = ' ' * indent + dir_info + '\n' + structure_str
|
||||
|
||||
if indent - 1 >= max_depth:
|
||||
return None, file_count
|
||||
else:
|
||||
return structure_str, file_count
|
||||
|
||||
# inner_function
|
||||
async def get_knowledge(self,path:str) -> str:
|
||||
full_path = f"{self.root_path}/knowledge/{path}"
|
||||
if os.islink(full_path):
|
||||
org_path = os.readlink(full_path)
|
||||
hash = self.kb_db.get_hash_by_doc_path(org_path)
|
||||
if hash:
|
||||
return self.kb_db.get_knowledge(org_path)
|
||||
|
||||
return "not found"
|
||||
|
||||
async def load_knowledge_content(self,path:str,pos:int=0,length:int=None) -> str:
|
||||
if path.endswith("pdf"):
|
||||
logger.info("load_knowledge_content:pdf")
|
||||
dir_path = os.path.dirname(path)
|
||||
base_name = os.path.basename(path)
|
||||
text_content_path = f"{dir_path}/.{base_name}.txt"
|
||||
if os.path.exists(text_content_path) is False:
|
||||
return None
|
||||
async with aiofiles.open(path, mode='r', encoding=cur_encode) as f:
|
||||
await f.seek(pos)
|
||||
content = await f.read(length)
|
||||
return content
|
||||
else:
|
||||
async with aiofiles.open(path,'rb') as f:
|
||||
cur_encode = chardet.detect(await f.read())['encoding']
|
||||
|
||||
async with aiofiles.open(path, mode='r', encoding=cur_encode) as f:
|
||||
await f.seek(pos)
|
||||
content = await f.read(length)
|
||||
return content
|
||||
|
||||
return "load content failed."
|
||||
|
||||
def _add_document_dir(self,path:str):
|
||||
self.doc_dirs[path] = 0
|
||||
|
||||
def _start_scan_document(self):
|
||||
if self._scan_thread is None:
|
||||
self._scan_thread = threading.Thread(target=self._scan_document)
|
||||
self._scan_thread.start()
|
||||
if self._scan_dirthread is None:
|
||||
self._scan_dirthread = threading.Thread(target=self._scan_dir)
|
||||
self._scan_dirthread.start()
|
||||
|
||||
def _parse_pdf_bookmarks(self,bookmarks, parent:list):
|
||||
|
||||
for item in bookmarks:
|
||||
if isinstance(item,list):
|
||||
self._parse_pdf_bookmarks(item,parent)
|
||||
else:
|
||||
if item.title:
|
||||
new_item = {}
|
||||
new_item["page"] = item.page.idnum
|
||||
new_item["title"] = item.title
|
||||
my_childs = []
|
||||
if item.childs:
|
||||
if len(item.childs) > 0:
|
||||
self._parse_pdf_bookmarks(item.childs, my_childs)
|
||||
new_item["childs"] = my_childs
|
||||
parent.append(new_item)
|
||||
else:
|
||||
logger.warning("parse pdf bookmarks failed: item.title is None!")
|
||||
|
||||
return
|
||||
|
||||
def _parse_pdf(self,doc_path:str):
|
||||
metadata = {}
|
||||
with open(doc_path, 'rb') as file:
|
||||
reader = PyPDF2.PdfReader(file)
|
||||
try:
|
||||
doc_info = reader.metadata
|
||||
if doc_info:
|
||||
if doc_info.title:
|
||||
metadata["title"] = doc_info.title
|
||||
if doc_info.author:
|
||||
metadata["authors"] = doc_info.author
|
||||
except Exception as e:
|
||||
logger.warn("parse pdf metadata failed:%s",e)
|
||||
|
||||
dir_path = os.path.dirname(doc_path)
|
||||
base_name = os.path.basename(doc_path)
|
||||
text_content_path = f"{dir_path}/.{base_name}.txt"
|
||||
full_text = ""
|
||||
|
||||
for page in reader.pages:
|
||||
text = page.extract_text()
|
||||
full_text += text
|
||||
with open(text_content_path, 'w', encoding='utf-8') as f:
|
||||
f.write(full_text)
|
||||
|
||||
try:
|
||||
bookmarks = reader.outline
|
||||
if bookmarks:
|
||||
catalogs = []
|
||||
self._parse_pdf_bookmarks(bookmarks,catalogs)
|
||||
metadata["catalogs"] = json.dumps(catalogs)
|
||||
except Exception as e:
|
||||
logger.warn("parse pdf bookmarks failed:%s",e)
|
||||
|
||||
return metadata
|
||||
|
||||
def _parse_txt(self,doc_path:str):
|
||||
return {}
|
||||
|
||||
def _parse_md(self,doc_path:str):
|
||||
metadata = {}
|
||||
cur_encode = "utf-8"
|
||||
with open(doc_path,'rb') as f:
|
||||
cur_encode = chardet.detect(f.read(1024))['encoding']
|
||||
|
||||
with open(doc_path, mode='r', encoding=cur_encode) as f:
|
||||
content = f.read()
|
||||
match = re.search(r'^# (.*)', content, re.MULTILINE)
|
||||
if match:
|
||||
metadata['title'] = match.group(1).strip()
|
||||
md = Markdown(extensions=['toc'])
|
||||
html_str = md.convert(content)
|
||||
toc = md.toc
|
||||
if toc:
|
||||
metadata['catalogs'] = toc
|
||||
|
||||
return metadata
|
||||
|
||||
def _parse_document(self,doc_path:str):
|
||||
hash_result = None
|
||||
title = os.path.basename(doc_path)
|
||||
meta_data = {}
|
||||
|
||||
with open(doc_path, "rb") as f:
|
||||
hash_md5 = hashlib.md5()
|
||||
for chunk in iter(lambda: f.read(1024*1024), b""):
|
||||
hash_md5.update(chunk)
|
||||
hash_result = hash_md5.hexdigest()
|
||||
try:
|
||||
if doc_path.endswith(".md"):
|
||||
meta_data = self._parse_md(doc_path)
|
||||
elif doc_path.endswith(".pdf"):
|
||||
meta_data = self._parse_pdf(doc_path)
|
||||
except Exception as e:
|
||||
logger.error("parse document %s failed:%s",doc_path,e)
|
||||
traceback.print_exc()
|
||||
|
||||
if meta_data.get("title"):
|
||||
title = meta_data["title"]
|
||||
logger.info("parse document %s!",doc_path)
|
||||
return hash_result,title,meta_data
|
||||
|
||||
|
||||
def _support_file(self,file_name:str) -> bool:
|
||||
if file_name.startswith("."):
|
||||
return False
|
||||
|
||||
if file_name.endswith(".pdf"):
|
||||
return True
|
||||
if file_name.endswith(".md"):
|
||||
return True
|
||||
if file_name.endswith(".txt"):
|
||||
return True
|
||||
return False
|
||||
|
||||
def _scan_dir(self):
|
||||
while True:
|
||||
time.sleep(10)
|
||||
for directory in self.doc_dirs.keys():
|
||||
now = time.time()
|
||||
if now - self.doc_dirs[directory] > 60*15:
|
||||
self.doc_dirs[directory] = time.time()
|
||||
else:
|
||||
continue
|
||||
|
||||
for root, dirs, files in os.walk(directory):
|
||||
for file in files:
|
||||
if self._support_file(file):
|
||||
full_path = os.path.join(root, file)
|
||||
full_path = os.path.normpath(full_path)
|
||||
if self.kb_db.is_doc_exist(full_path):
|
||||
continue
|
||||
|
||||
file_stat = os.stat(full_path)
|
||||
if file_stat.st_size < 1:
|
||||
continue
|
||||
|
||||
if file_stat.st_size < 1024*1024*8:
|
||||
#parse and insert
|
||||
hash,title,meta_data = self._parse_document(full_path)
|
||||
self.kb_db.add_doc(full_path,file_stat.st_size,file_stat.st_mtime,hash)
|
||||
self.kb_db.add_knowledge(hash,title,meta_data)
|
||||
|
||||
else:
|
||||
self.kb_db.add_doc(full_path,file_stat.st_size,file_stat.st_mtime)
|
||||
|
||||
def _scan_document(self):
|
||||
while True:
|
||||
time.sleep(10)
|
||||
parse_queue = self.kb_db.get_docs_without_hash()
|
||||
for doc_path in parse_queue:
|
||||
hash,title,meta_data = self._parse_document(doc_path)
|
||||
self.kb_db.set_doc_hash(doc_path,hash)
|
||||
self.kb_db.add_knowledge(hash,title,meta_data)
|
||||
|
||||
|
||||
|
||||
|
||||
# merge to standard workspace env, **ABANDON this!**
|
||||
class KnowledgeBaseFileSystemEnvironment(Environment):
|
||||
def __init__(self, env_id: str) -> None:
|
||||
super().__init__(env_id)
|
||||
self.root_path = "."
|
||||
|
||||
operator_param = {
|
||||
"path": "full path of target directory",
|
||||
}
|
||||
self.add_ai_function(SimpleAIFunction("list",
|
||||
"list the files and sub directory in target directory,result is a json array",
|
||||
self.list,operator_param))
|
||||
|
||||
operator_param = {
|
||||
"path": "full path of target file",
|
||||
}
|
||||
self.add_ai_function(SimpleAIFunction("cat",
|
||||
"cat the file content in target path,result is a string",
|
||||
self.cat,operator_param))
|
||||
|
||||
def set_root_path(self,path:str):
|
||||
self.root_path = path
|
||||
|
||||
|
||||
async def list(self,path:str) -> str:
|
||||
directory_path = self.root_path + path
|
||||
items = []
|
||||
|
||||
with await aiofiles.os.scandir(directory_path) as entries:
|
||||
async for entry in entries:
|
||||
item_type = "directory" if entry.is_dir() else "file"
|
||||
items.append({"name": entry.name, "type": item_type})
|
||||
|
||||
return json.dumps(items)
|
||||
|
||||
async def cat(self,path:str) -> str:
|
||||
file_path = self.root_path + path
|
||||
cur_encode = "utf-8"
|
||||
async with aiofiles.open(file_path,'rb') as f:
|
||||
cur_encode = chardet.detect(await f.read())['encoding']
|
||||
|
||||
async with aiofiles.open(file_path, mode='r', encoding=cur_encode) as f:
|
||||
content = await f.read(2048)
|
||||
return content
|
||||
|
||||
|
||||
class ShellEnvironment(Environment):
|
||||
class ShellEnvironment(SimpleEnvironment):
|
||||
def __init__(self, env_id: str) -> None:
|
||||
super().__init__(env_id)
|
||||
|
||||
@@ -787,3 +378,57 @@ class ShellEnvironment(Environment):
|
||||
else:
|
||||
return f"Execute failed! stderr is:\n{stderr}\n"
|
||||
|
||||
|
||||
class WorkspaceEnvironment(CompositeEnvironment):
|
||||
def __init__(self, env_id: str) -> None:
|
||||
super().__init__(env_id)
|
||||
myai_path = AIStorage.get_instance().get_myai_dir()
|
||||
self.root_path = f"{myai_path}/workspace/{env_id}"
|
||||
if not os.path.exists(self.root_path):
|
||||
os.makedirs()
|
||||
|
||||
self.todo_list = {}
|
||||
self.todo_list[TodoListType.TO_WORK] = TodoListEnvironment(self.root_path,TodoListType.TO_WORK)
|
||||
self.todo_list[TodoListType.TO_LEARN] = TodoListEnvironment(self.root_path,TodoListType.TO_LEARN)
|
||||
|
||||
# default environments in workspace
|
||||
self.add_env(self.todo_list[TodoListType.TO_WORK])
|
||||
self.add_env(ShellEnvironment("shell"))
|
||||
self.add_env(FilesystemEnvironment(self.root_path, "fs"))
|
||||
|
||||
def set_root_path(self,path:str):
|
||||
self.root_path = path
|
||||
|
||||
def get_prompt(self) -> AgentMsg:
|
||||
return None
|
||||
|
||||
def get_role_prompt(self,role_id:str) -> AgentPrompt:
|
||||
return None
|
||||
|
||||
def get_do_prompt(self,todo:AgentTodo=None)->AgentPrompt:
|
||||
return None
|
||||
|
||||
# result mean: list[op_error_str],have_error
|
||||
async def exec_op_list(self,oplist:List,agent_id:str)->tuple[List[str],bool]:
|
||||
result_str = "op list is none"
|
||||
if oplist is None:
|
||||
return None,False
|
||||
|
||||
result_str = []
|
||||
have_error = False
|
||||
for op in oplist:
|
||||
operation = self.get_ai_operation(op["op"])
|
||||
if operation:
|
||||
error_str = await operation.execute(op)
|
||||
else:
|
||||
logger.error(f"execute op list failed: unknown op:{op['op']}")
|
||||
error_str = f"execute op list failed: unknown op:{op['op']}"
|
||||
|
||||
if error_str:
|
||||
have_error = True
|
||||
result_str.append(error_str)
|
||||
else:
|
||||
result_str.append(f"execute success!")
|
||||
|
||||
return result_str,have_error
|
||||
|
||||
|
||||
Reference in New Issue
Block a user