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opendan/src/aios_kernel/workspace_env.py
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# this env is designed for workflow owner filesystem, support file/directory operations
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
import threading
import traceback
import time
import ast
import sys
import os
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
import PyPDF2
from .agent_base import AgentMsg,AgentTodo,AgentPrompt,AgentTodoResult
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from .environment import Environment,EnvironmentEvent
from .ai_function import AIFunction,SimpleAIFunction
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from .storage import AIStorage,ResourceLocation
from .simple_kb_db import SimpleKnowledgeDB
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logger = logging.getLogger(__name__)
class WorkspaceEnvironment(Environment):
def __init__(self, env_id: str) -> None:
super().__init__(env_id)
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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.root_path+"/todos")
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self.known_todo = {}
self.kb_db = SimpleKnowledgeDB(f"{self.root_path}/kb.db")
self.doc_dirs = {}
self._scan_thread = None
self._scan_dirthread = None
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def set_root_path(self,path:str):
self.root_path = path
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def get_prompt(self) -> AgentMsg:
return None
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def get_role_prompt(self,role_id:str) -> AgentPrompt:
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return None
def get_knowledge_base(self,root_dir=None,indent=0) -> str:
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pass
def get_do_prompt(self,todo:AgentTodo=None)->AgentPrompt:
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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"
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if oplist is None:
return None,False
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result_str = []
have_error = False
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for op in oplist:
if op["op"] == "create":
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")
if is_append is None:
is_append = False
error_str = await self.write(op["path"],op["content"],is_append)
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elif op["op"] == "delete":
error_str = await self.delete(op["path"])
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elif op["op"] == "rename":
error_str = await self.rename(op["path"],op["new_name"])
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elif op["op"] == "mkdir":
error_str = await self.mkdir(op["path"])
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elif op["op"] == "create_todo":
todoObj = AgentTodo.from_dict(op["todo"])
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todoObj.worker = agent_id
todoObj.createor = agent_id
parent_id = op.get("parent")
error_str = await self.create_todo(parent_id,todoObj)
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elif op["op"] == "update_todo":
todo_id = op["id"]
new_stat = op["state"]
error_str = await self.update_todo(todo_id,new_stat)
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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
# file system operation: list,read,write,delete,move,stat
# inner_function
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async def list(self,path:str,only_dir:bool=False) -> str:
directory_path = self.root_path + path
items = []
with await aiofiles.os.scandir(directory_path) as entries:
async for entry in entries:
is_dir = entry.is_dir()
if only_dir and not is_dir:
continue
item_type = "directory" if is_dir else "file"
items.append({"name": entry.name, "type": item_type})
return json.dumps(items)
# inner_function
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async def read(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
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# operation or inner_function (MOST IMPORTANT FUNCTION)
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async def write(self,path:str,content:str,is_append:bool=False) -> str:
file_path = self.root_path + path
try:
if is_append:
async with aiofiles.open(file_path, mode='a', encoding="utf-8") as f:
await f.write(content)
else:
if content is None:
# create dir
dir_path = self.root_path + path
os.makedirs(dir_path)
return True
else:
file_path = self.root_path + path
os.makedirs(os.path.dirname(file_path),exist_ok=True)
async with aiofiles.open(file_path, mode='w', encoding="utf-8") as f:
await f.write(content)
return True
except Exception as e:
return str(e)
return None
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# operation or inner_function
async def delete(self,path:str) -> str:
try:
file_path = self.root_path + path
os.remove(file_path)
except Exception as e:
return str(e)
return None
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# operation or inner_function
async def move(self,path:str,new_path:str) -> str:
try:
file_path = self.root_path + path
new_path = self.root_path + new_path
os.rename(file_path,new_path)
except Exception as e:
return str(e)
return None
# inner_function
async def stat(self,path:str) -> str:
try:
file_path = self.root_path + path
stat = os.stat(file_path)
return json.dumps(stat)
except Exception as e:
return str(e)
# operation or inner_function
async def symlink(self,path:str,target:str) -> str:
try:
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#file_path = self.root_path + path
target_path = self.root_path + target
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dir_path = os.path.dirname(target_path)
os.makedirs(dir_path,exist_ok=True)
os.symlink(path,target_path)
except Exception as e:
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logger.error("symlink failed:%s",e)
return str(e)
return None
# TODO use diff to update large file content
async def update_by_diff(self,path:str,diff):
pass
# doc system read_only,agent cann't modify doc
# inner_function
async def list_db(self) -> str:
pass
# inner_function
async def get_db_desc(self,db_name:str) -> str:
pass
# inner_function
async def query(self,db_name:str,sql:str) -> str:
pass
# search (web)
# inner_function
async def google_search(self,keyword:str,opt=None) -> str:
pass
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# inner_function
async def local_search(self,keyword:str,root_path=None ,opt=None) -> str:
pass
# inner_function, might be return a image is better
async def web_get(self,url:str) -> str:
pass
# inner_function
async def blockchain_get(self,chainid:str,query:dict) -> str:
pass
# code interpreter
# inner_function or operation
async def eval_code(self,pycode:str) -> str:
pass
# operation or inner_function
async def improve_code(self,path:str):
pass
# operation or inner_function
async def run(self,file_path:str)->str:
pass
# operation or inner_function
async def pub_service(self,project_path:str):
pass
# operation or inner_function
async def exec_tx(self,chain_id:str,tx:dict) -> str:
pass
# social ability
# operation or inner_function
async def post_message(self,target:str,msg:AgentMsg,wait_time) -> AgentMsg:
pass
# operation or inner_function
async def add_contact(self,name:str,contact_info) -> str:
pass
# inner_function , include contact realtime info
async def get_contact(self,name_list:List[str],opt:dict) -> List:
pass
# Task/todo system , create,update,delete,query
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async def get_todo_tree(self,path:str = None,deep:int = 4):
if path:
directory_path = self.root_path + "/todos/" + path
else:
directory_path = self.root_path + "/todos"
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str_result:str = "/todos\n"
todo_count:int = 0
async def scan_dir(directory_path:str,deep:int):
nonlocal str_result
nonlocal todo_count
if deep <= 0:
return
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if os.path.exists(directory_path) is False:
return
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for entry in os.scandir(directory_path):
is_dir = entry.is_dir()
if not is_dir:
continue
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if entry.name.startswith("."):
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)
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:
directory_path = self.root_path + "/todos/" + path
else:
directory_path = self.root_path + "/todos"
result_list:List[AgentTodo] = []
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async def scan_dir(directory_path:str,deep:int,parent:AgentTodo=None):
nonlocal result_list
if os.path.exists(directory_path) is False:
return
for entry in os.scandir(directory_path):
is_dir = entry.is_dir()
if not is_dir:
continue
if entry.name.startswith("."):
continue
todo = await self.get_todo_by_fullpath(entry.path)
if todo:
if todo.worker:
if todo.worker != agent_id:
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)
todo.rank = int(todo.create_time)>>deep
await scan_dir(entry.path,deep + 1,todo)
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return
await scan_dir(directory_path,0)
#sort by rank
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
async def get_todo_by_fullpath(self,path:str) -> AgentTodo:
logger.info("get_todo_by_fullpath:%s",path)
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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
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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:
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
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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)
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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)
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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)
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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))
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async def set_wakeup_timer(self,todo_id:str,timestamp:int) -> str:
pass
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# knowledge base system
def get_knowledge_base_ai_functions(self):
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all_inner_function = []
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all_inner_function.append(SimpleAIFunction("get_knowledge_catalog","get knowledge catalog in tree format",
self.get_knowledege_catalog,
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{"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,
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{"path":f"knowledge path"}))
all_inner_function.append(SimpleAIFunction("load_knowledge_content","load knowledge content",
self.load_knowledge_content,
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{"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"
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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}>"
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structure_str = ' ' * indent + dir_info + '\n' + structure_str
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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"
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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:
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cur_encode = chardet.detect(await f.read())['encoding']
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async with aiofiles.open(path, mode='r', encoding=cur_encode) as f:
await f.seek(pos)
content = await f.read(length)
return content
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return "load content failed."
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def _add_document_dir(self,path:str):
self.doc_dirs[path] = 0
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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()
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def _parse_pdf_bookmarks(self,bookmarks, parent:list):
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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)
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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"]
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logger.info("parse document %s!",doc_path)
return hash_result,title,meta_data
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def _support_file(self,file_name:str) -> bool:
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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)
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# merge to standard workspace env, **ABANDON this!**
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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
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class ShellEnvironment(Environment):
def __init__(self, env_id: str) -> None:
super().__init__(env_id)
operator_param = {
"command": "command will execute",
}
self.add_ai_function(SimpleAIFunction("shell_exec",
"execute shell command in linux bash",
self.shell_exec,operator_param))
#run_code_param = {
# "pycode": "python code will execute",
#}
#self.add_ai_function(SimpleAIFunction("run_code",
# "execute python code",
# self.run_code,run_code_param))
async def shell_exec(self,command:str) -> str:
import asyncio.subprocess
process = await asyncio.create_subprocess_shell(
command,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE
)
stdout, stderr = await process.communicate()
returncode = process.returncode
if returncode == 0:
return f"Execute success! stdout is:\n{stdout}\n"
else:
return f"Execute failed! stderr is:\n{stderr}\n"