267 lines
13 KiB
Python
267 lines
13 KiB
Python
import re, traceback, uuid, copy, json, os
|
||
from loguru import logger
|
||
|
||
|
||
# from configs.server_config import SANDBOX_SERVER
|
||
# from configs.model_config import JUPYTER_WORK_PATH
|
||
from coagent.connector.schema import (
|
||
Memory, Role, Message, ActionStatus, CodeDoc, Doc, LogVerboseEnum
|
||
)
|
||
from coagent.connector.memory_manager import BaseMemoryManager
|
||
from coagent.tools import DDGSTool, DocRetrieval, CodeRetrieval
|
||
from coagent.sandbox import PyCodeBox, CodeBoxResponse
|
||
from coagent.llm_models.llm_config import LLMConfig, EmbedConfig
|
||
from .utils import parse_dict_to_dict, parse_text_to_dict
|
||
|
||
|
||
class MessageUtils:
|
||
def __init__(
|
||
self,
|
||
role: Role = None,
|
||
sandbox_server: dict = {},
|
||
jupyter_work_path: str = "./",
|
||
embed_config: EmbedConfig = None,
|
||
llm_config: LLMConfig = None,
|
||
kb_root_path: str = "",
|
||
log_verbose: str = "0"
|
||
) -> None:
|
||
self.role = role
|
||
self.sandbox_server = sandbox_server
|
||
self.jupyter_work_path = jupyter_work_path
|
||
self.embed_config = embed_config
|
||
self.llm_config = llm_config
|
||
self.kb_root_path = kb_root_path
|
||
self.codebox = PyCodeBox(
|
||
remote_url=self.sandbox_server.get("url", "http://127.0.0.1:5050"),
|
||
remote_ip=self.sandbox_server.get("host", "http://127.0.0.1"),
|
||
remote_port=self.sandbox_server.get("port", "5050"),
|
||
jupyter_work_path=jupyter_work_path,
|
||
token="mytoken",
|
||
do_code_exe=True,
|
||
do_remote=self.sandbox_server.get("do_remote", False),
|
||
do_check_net=False
|
||
)
|
||
self.log_verbose = os.environ.get("log_verbose", "0") or log_verbose
|
||
|
||
def inherit_extrainfo(self, input_message: Message, output_message: Message):
|
||
output_message.db_docs = input_message.db_docs
|
||
output_message.search_docs = input_message.search_docs
|
||
output_message.code_docs = input_message.code_docs
|
||
output_message.figures.update(input_message.figures)
|
||
output_message.origin_query = input_message.origin_query
|
||
output_message.code_engine_name = input_message.code_engine_name
|
||
|
||
output_message.doc_engine_name = input_message.doc_engine_name
|
||
output_message.search_engine_name = input_message.search_engine_name
|
||
output_message.top_k = input_message.top_k
|
||
output_message.score_threshold = input_message.score_threshold
|
||
output_message.cb_search_type = input_message.cb_search_type
|
||
output_message.do_doc_retrieval = input_message.do_doc_retrieval
|
||
output_message.do_code_retrieval = input_message.do_code_retrieval
|
||
output_message.do_tool_retrieval = input_message.do_tool_retrieval
|
||
#
|
||
output_message.tools = input_message.tools
|
||
output_message.agents = input_message.agents
|
||
|
||
# update customed_kargs, if exist, keep; else add
|
||
customed_kargs = copy.deepcopy(input_message.customed_kargs)
|
||
customed_kargs.update(output_message.customed_kargs)
|
||
output_message.customed_kargs = customed_kargs
|
||
return output_message
|
||
|
||
def inherit_baseparam(self, input_message: Message, output_message: Message):
|
||
# 只更新参数
|
||
output_message.doc_engine_name = input_message.doc_engine_name
|
||
output_message.search_engine_name = input_message.search_engine_name
|
||
output_message.top_k = input_message.top_k
|
||
output_message.score_threshold = input_message.score_threshold
|
||
output_message.cb_search_type = input_message.cb_search_type
|
||
output_message.do_doc_retrieval = input_message.do_doc_retrieval
|
||
output_message.do_code_retrieval = input_message.do_code_retrieval
|
||
output_message.do_tool_retrieval = input_message.do_tool_retrieval
|
||
#
|
||
output_message.tools = input_message.tools
|
||
output_message.agents = input_message.agents
|
||
# 存在bug导致相同key被覆盖
|
||
output_message.customed_kargs.update(input_message.customed_kargs)
|
||
return output_message
|
||
|
||
def get_extrainfo_step(self, message: Message, do_search, do_doc_retrieval, do_code_retrieval, do_tool_retrieval) -> Message:
|
||
''''''
|
||
if do_search:
|
||
message = self.get_search_retrieval(message)
|
||
|
||
if do_doc_retrieval:
|
||
message = self.get_doc_retrieval(message)
|
||
|
||
if do_code_retrieval:
|
||
message = self.get_code_retrieval(message)
|
||
|
||
if do_tool_retrieval:
|
||
message = self.get_tool_retrieval(message)
|
||
|
||
return message
|
||
|
||
def get_search_retrieval(self, message: Message,) -> Message:
|
||
SEARCH_ENGINES = {"duckduckgo": DDGSTool}
|
||
search_docs = []
|
||
for idx, doc in enumerate(SEARCH_ENGINES["duckduckgo"].run(message.role_content, 3)):
|
||
doc.update({"index": idx})
|
||
search_docs.append(Doc(**doc))
|
||
message.search_docs = search_docs
|
||
return message
|
||
|
||
def get_doc_retrieval(self, message: Message) -> Message:
|
||
query = message.role_content
|
||
knowledge_basename = message.doc_engine_name
|
||
top_k = message.top_k
|
||
score_threshold = message.score_threshold
|
||
if knowledge_basename:
|
||
docs = DocRetrieval.run(query, knowledge_basename, top_k, score_threshold, self.embed_config, self.kb_root_path)
|
||
message.db_docs = [Doc(**doc) for doc in docs]
|
||
return message
|
||
|
||
def get_code_retrieval(self, message: Message) -> Message:
|
||
query = message.input_query
|
||
code_engine_name = message.code_engine_name
|
||
history_node_list = message.history_node_list
|
||
code_docs = CodeRetrieval.run(code_engine_name, query, code_limit=message.top_k, history_node_list=history_node_list, search_type=message.cb_search_type,
|
||
llm_config=self.llm_config, embed_config=self.embed_config,)
|
||
message.code_docs = [CodeDoc(**doc) for doc in code_docs]
|
||
return message
|
||
|
||
def get_tool_retrieval(self, message: Message) -> Message:
|
||
return message
|
||
|
||
def step_router(self, message: Message, history: Memory = None, background: Memory = None, memory_manager: BaseMemoryManager=None) -> tuple[Message, ...]:
|
||
''''''
|
||
if LogVerboseEnum.ge(LogVerboseEnum.Log1Level, self.log_verbose):
|
||
logger.info(f"message.action_status: {message.action_status}")
|
||
|
||
observation_message = None
|
||
if message.action_status == ActionStatus.CODE_EXECUTING:
|
||
message, observation_message = self.code_step(message)
|
||
elif message.action_status == ActionStatus.TOOL_USING:
|
||
message, observation_message = self.tool_step(message)
|
||
elif message.action_status == ActionStatus.CODING2FILE:
|
||
self.save_code2file(message, self.jupyter_work_path)
|
||
elif message.action_status == ActionStatus.CODE_RETRIEVAL:
|
||
pass
|
||
elif message.action_status == ActionStatus.CODING:
|
||
pass
|
||
|
||
return message, observation_message
|
||
|
||
def code_step(self, message: Message) -> Message:
|
||
'''execute code'''
|
||
# logger.debug(f"message.role_content: {message.role_content}, message.code_content: {message.code_content}")
|
||
code_answer = self.codebox.chat('```python\n{}```'.format(message.code_content))
|
||
code_prompt = f"The return error after executing the above code is {code_answer.code_exe_response},need to recover.\n" \
|
||
if code_answer.code_exe_type == "error" else f"The return information after executing the above code is {code_answer.code_exe_response}.\n"
|
||
|
||
observation_message = Message(
|
||
role_name="observation",
|
||
role_type="function", #self.role.role_type,
|
||
role_content="",
|
||
step_content="",
|
||
input_query=message.code_content,
|
||
)
|
||
uid = str(uuid.uuid1())
|
||
if code_answer.code_exe_type == "image/png":
|
||
message.figures[uid] = code_answer.code_exe_response
|
||
message.code_answer = f"\n**Observation:**: The return figure name is {uid} after executing the above code.\n"
|
||
message.observation = f"\n**Observation:**: The return figure name is {uid} after executing the above code.\n"
|
||
message.step_content += f"\n**Observation:**: The return figure name is {uid} after executing the above code.\n"
|
||
# message.role_content += f"\n**Observation:**:执行上述代码后生成一张图片, 图片名为{uid}\n"
|
||
observation_message.role_content = f"\n**Observation:**: The return figure name is {uid} after executing the above code.\n"
|
||
observation_message.parsed_output = {"Observation": f"The return figure name is {uid} after executing the above code.\n"}
|
||
else:
|
||
message.code_answer = code_answer.code_exe_response
|
||
message.observation = code_answer.code_exe_response
|
||
message.step_content += f"\n**Observation:**: {code_prompt}\n"
|
||
# message.role_content += f"\n**Observation:**: {code_prompt}\n"
|
||
observation_message.role_content = f"\n**Observation:**: {code_prompt}\n"
|
||
observation_message.parsed_output = {"Observation": f"{code_prompt}\n"}
|
||
|
||
if LogVerboseEnum.ge(LogVerboseEnum.Log1Level, self.log_verbose):
|
||
logger.info(f"**Observation:** {message.action_status}, {message.observation}")
|
||
return message, observation_message
|
||
|
||
def tool_step(self, message: Message) -> Message:
|
||
'''execute tool'''
|
||
observation_message = Message(
|
||
role_name="observation",
|
||
role_type="function", #self.role.role_type,
|
||
role_content="\n**Observation:** there is no tool can execute\n",
|
||
step_content="",
|
||
input_query=str(message.tool_params),
|
||
tools=message.tools,
|
||
)
|
||
if LogVerboseEnum.ge(LogVerboseEnum.Log1Level, self.log_verbose):
|
||
logger.info(f"message: {message.action_status}, {message.tool_params}")
|
||
|
||
tool_names = [tool.name for tool in message.tools]
|
||
if message.tool_name not in tool_names:
|
||
message.tool_answer = "\n**Observation:** there is no tool can execute.\n"
|
||
message.observation = "\n**Observation:** there is no tool can execute.\n"
|
||
# message.role_content += f"\n**Observation:**: 不存在可以执行的tool\n"
|
||
message.step_content += f"\n**Observation:** there is no tool can execute.\n"
|
||
observation_message.role_content = f"\n**Observation:** there is no tool can execute.\n"
|
||
observation_message.parsed_output = {"Observation": "there is no tool can execute.\n"}
|
||
|
||
# logger.debug(message.tool_params)
|
||
for tool in message.tools:
|
||
if tool.name == message.tool_params.get("tool_name", ""):
|
||
tool_res = tool.func(**message.tool_params.get("tool_params", {}))
|
||
message.tool_answer = tool_res
|
||
message.observation = tool_res
|
||
# message.role_content += f"\n**Observation:**: {tool_res}\n"
|
||
message.step_content += f"\n**Observation:** {tool_res}.\n"
|
||
observation_message.role_content = f"\n**Observation:** {tool_res}.\n"
|
||
observation_message.parsed_output = {"Observation": f"{tool_res}.\n"}
|
||
break
|
||
|
||
if LogVerboseEnum.ge(LogVerboseEnum.Log1Level, self.log_verbose):
|
||
logger.info(f"**Observation:** {message.action_status}, {message.observation}")
|
||
return message, observation_message
|
||
|
||
def parser(self, message: Message) -> Message:
|
||
''''''
|
||
content = message.role_content
|
||
# parse start
|
||
parsed_dict = parse_text_to_dict(content)
|
||
spec_parsed_dict = parse_dict_to_dict(parsed_dict)
|
||
# select parse value
|
||
action_value = parsed_dict.get('Action Status')
|
||
if action_value:
|
||
action_value = action_value.lower()
|
||
|
||
code_content_value = spec_parsed_dict.get('code')
|
||
if action_value == 'tool_using':
|
||
tool_params_value = spec_parsed_dict.get('json')
|
||
else:
|
||
tool_params_value = None
|
||
|
||
# add parse value to message
|
||
message.action_status = action_value or "default"
|
||
message.code_content = code_content_value
|
||
message.tool_params = tool_params_value
|
||
message.parsed_output = parsed_dict
|
||
message.spec_parsed_output = spec_parsed_dict
|
||
return message
|
||
|
||
def save_code2file(self, message: Message, project_dir="./"):
|
||
filename = message.parsed_output.get("SaveFileName")
|
||
code = message.spec_parsed_output.get("code")
|
||
|
||
for k, v in {">": ">", "≥": ">=", "<": "<", "≤": "<="}.items():
|
||
code = code.replace(k, v)
|
||
|
||
file_path = os.path.join(project_dir, filename)
|
||
|
||
if not os.path.exists(file_path):
|
||
os.makedirs(os.path.dirname(file_path), exist_ok=True)
|
||
|
||
with open(file_path, "w") as f:
|
||
f.write(code)
|
||
|