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conversation.py
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import os
import openai
import json
from programmer import Programmer
from inspector import Inspector
from function_calling.function_calling import *
from cache.cache import *
from prompt_engineering.prompts import *
import warnings
import traceback
# import pdfkit
import zipfile
from kernel import *
from lambda_utils import *
from cache.oss import upload_oss_file
warnings.filterwarnings("ignore")
class Conversation():
def __init__(self, config) -> None:
self.config = config
self.model = config['conv_model']
self.client = openai.OpenAI(api_key=config['api_key'], base_url=config['base_url_conv_model'])
self.programmer = Programmer(api_key=config['api_key'], model=config['programmer_model'], base_url=config['base_url_programmer'])
self.inspector = Inspector(api_key=config['api_key'], model=config['inspector_model'], base_url=config['base_url_inspector'])
self.messages = []
self.chat_history = []
self.retrieval = self.config['retrieval']
self.kernel = CodeKernel(config['max_exe_time'])
self.function_repository = {}
self.my_data_cache = None
self.max_attempts = config['max_attempts'] # maximum attempts of self-correcting
self.error_count = 0 # error count of self-correcting
self.repair_count = 0 # repair count of self-correcting
self.oss_dir = None
self.local_cache_dir = None
self.run_code(IMPORT)
def add_functions(self, function_lib: dict) -> None:
self.function_repository = function_lib
def add_data(self, data_path) -> None:
self.my_data_cache = data_cache(data_path)
def check_folder(self, before_files, after_files):
new_files = set(after_files) - set(before_files)
cloud_cache_info = []
if new_files:
for file in new_files:
cache_info = upload_oss_file(self.oss_dir, os.path.join(self.local_cache_dir, file))
cloud_cache_info.append(cache_info)
return cloud_cache_info
def save_conv(self):
with open(os.path.join(self.local_cache_dir,'programmer_msg.json'), 'w') as f:
json.dump(self.programmer.messages, f, indent=4)
f.close()
with open(os.path.join(self.local_cache_dir,'inspector_msg.json'), 'w') as f:
json.dump(self.inspector.messages, f, indent=4)
f.close()
print(f"Conversation saved in {os.path.join(self.local_cache_dir,'programmer_msg.json')}")
print(f"Conversation saved in {os.path.join(self.local_cache_dir, 'inspector_msg.json')}")
def add_programmer_msg(self, message: dict):
self.programmer.messages.append(message)
def add_programmer_repair_msg(self, bug_code:str, error_msg:str, fix_method:str, role="user"):
message = {"role": role, "content": CODE_FIX.format(bug_code=bug_code, error_message=error_msg, fix_method=fix_method)}
self.programmer.messages.append(message)
def add_inspector_msg(self, bug_code:str, error_msg:str, role="user"):
message = {"role": role, "content": CODE_INSPECT.format(bug_code=bug_code,error_message=error_msg)}
self.inspector.messages.append(message)
def run_code(self,code):
try:
res_type, res = execute(code, self.kernel) # error in code of kernel will result in res_type:None
except Exception as e:
print(f'Error when executing code in kernel: {e}')
res_type, res = 'error', str(e)
self.add_inspector_msg(code, str(e))
return res_type, res
def rendering_code(self):
for i in range(len(self.programmer.messages)-1, 0, -1):
if self.programmer.messages[i]["role"] == "assistant":
is_python, code = extract_code(self.programmer.messages[i]["content"])
if is_python:
return code
return None
# def human_loop(self, code):
# self.programmer.messages.append({"role": "user", "content": HUMAN_LOOP.format(code=code)})
#
# result = self.run_code(code)
# exec_result = f"Execution result of user's code:\n{result}."
# self.programmer.messages.append({"role": "system", "content": exec_result})
# return response
def show_data(self) -> pd.DataFrame:
return self.my_data_cache.data
def document_generation(self): # use conv model to generate report.
print("Report generating...")
self.messages = self.programmer.messages + [{"role": "user", "content": Academic_Report}]
# self.programmer.messages.append({"role": "user", "content": DOCUMENT})
report = self.call_chat_model(max_tokens=self.config["max_token_conv_model"]).choices[0].message.content
self.messages.append({"role": "assistant", "content": report})
#self.local_cache_dir = 'xxx'
mkd_path = os.path.join(self.local_cache_dir,'report.md')
# pdf_path = os.path.join(self.local_cache_dir,'report.pdf')
# zip_path = os.path.join(self.local_cache_dir,'report.zip')
with open(mkd_path, "w") as f:
f.write(report)
f.close()
# pdfkit.from_file(mkd_path, pdf_path)
# with zipfile.ZipFile(zip_path, 'w') as zipf:
# zipf.write('report.md')
# zipf.write('report.pdf')
return mkd_path
def export_code(self):
print("Exporting notebook...")
notebook_path = os.path.join(self.local_cache_dir, 'notebook.ipynb')
try:
self.kernel.export(notebook_path)
except Exception as e:
print(f"An error occurred when exporting notebook: {e}")
return notebook_path
def call_chat_model(self, max_tokens, functions=None, include_functions=False, ) -> dict:
params = {
"model": self.model,
"messages": self.messages,
"max_tokens": None if max_tokens is None else max_tokens
}
if include_functions:
params["functions"] = functions
#params["function_call"] = "auto"
try:
return self.client.chat.completions.create(**params)
except Exception as e:
self.messages = [self.messages[0], self.messages[-1]]
params = {
"model": self.model,
"messages": self.messages
}
print(f"Occurs error of calling chat model: {e}")
return self.client.chat.completions.create(**params)
def clear(self):
self.messages = []
self.programmer.clear()
self.inspector.clear()
self.kernel.shutdown()
del self.kernel
self.kernel = CodeKernel()
self.my_data_cache = None
self.my_data_description = None
self.oss_dir = None
self.local_cache_dir = None
def stream_workflow(self, chat_history, function_lib: dict=None, code=None) -> object:
try:
chat_history[-1][1] = ""
if not self.my_data_cache and code is None: #todo: remove this restriction
for message in self.programmer._call_chat_model_streaming():
chat_history[-1][1] += message
yield chat_history
#chat_history += "\nNote, no data found. Please upload the data manually to start your task."
yield chat_history
final_response = chat_history[-1][1] #''.join(chat_history[-1][1])
self.add_programmer_msg({"role": "assistant", "content": final_response})
else:
if not code:
#_, _ = execute(IMPORT, self.kernel) #todo install packages
prog_response1_content = ''
for message in self.programmer._call_chat_model_streaming(retrieval=self.retrieval, kernel=self.kernel):
chat_history[-1][1] += message
prog_response1_content += message
yield chat_history
self.add_programmer_msg({"role": "assistant", "content": prog_response1_content})
else:
prog_response1_content = HUMAN_LOOP.format(code=code)
self.add_programmer_msg({"role": "user", "content": prog_response1_content})
is_python, code = extract_code(prog_response1_content)
print("is_python:",is_python)
if is_python:
chat_history[-1][1] += '\n🖥️ Execute code...\n'
yield chat_history
before_files = os.listdir(self.local_cache_dir)
res_type, res = self.run_code(code)
if res_type and res_type != 'error' or not res: # no error in code not res = res is None
after_files = os.listdir(self.local_cache_dir)
cloud_cache_info = self.check_folder(before_files, after_files)
link_info = '\n'.join([f"![{info['file_name']}]({info['download_link']})" if info['file_name'].endswith(
('.jpg', '.jpeg', '.png', '.gif')) else f"[{info['file_name']}]({info['download_link']})" for info in
cloud_cache_info])
print("res:", res)
chat_history[-1][1] += f"\n✅ Execution result:\n{res}\n\n"
yield chat_history
self.add_programmer_msg({"role": "user", "content": RESULT_PROMPT.format(res)})
prog_response2 = ''
for message in self.programmer._call_chat_model_streaming():
chat_history[-1][1] += message
prog_response2 += message
yield chat_history
self.add_programmer_msg({"role": "assistant", "content": prog_response2})
chat_history[-1][1] += f"\n{link_info}"
yield chat_history
#elif not res_type and res: #todo: problems related the image output in the result.
# self-correcting
else:
self.error_count += 1
round = 0
while res and round < self.max_attempts: #max 5 round
chat_history[-1][1] = f'⭕ Execution error, try to repair the code, attempts: {round+1}....\n'
yield chat_history
self.add_inspector_msg(code, res)
if round == 3:
insp_response1_content = "Try other packages or methods."
else:
insp_response1 = self.inspector._call_chat_model()
insp_response1_content = insp_response1.choices[0].message.content
self.inspector.messages.append({"role": "assistant", "content": insp_response1_content})
self.add_programmer_repair_msg(code, res, insp_response1_content)
prog_response1_content = ''
for message in self.programmer._call_chat_model_streaming():
chat_history[-1][1] += message
prog_response1_content += message
yield chat_history
chat_history[-1][1] += '\n🖥️ Execute code...\n'
yield chat_history
self.add_programmer_msg({"role": "assistant", "content": prog_response1_content})
is_python, code = extract_code(prog_response1_content)
if is_python:
before_files = os.listdir(self.local_cache_dir)
res_type, res = self.run_code(code)
if res_type and res_type != 'error' or not res: # execute successfully
self.repair_count += 1
break
round += 1
if round == self.max_attempts: # maximum retry
return prog_response1_content + "\nSorry, I can't fix the code, can you help me to modified it or give some suggestions?"
#self.add_programmer_msg({"role": "user", "content": "You can not tackle the error, you should ask me to give suggestions or modify the code."})
# revision successful
after_files = os.listdir(self.local_cache_dir)
cloud_cache_info = self.check_folder(before_files, after_files)
link_info = '\n'.join([f"![{info['file_name']}]({info['download_link']})" if info['file_name'].endswith(
('.jpg', '.jpeg', '.png', '.gif')) else f"[{info['file_name']}]({info['download_link']})" for info in
cloud_cache_info])
print("res:", res)
chat_history[-1][1] += f"\n✅ Execution result:\n{res}\n\n"
yield chat_history
self.add_programmer_msg({"role": "user", "content": RESULT_PROMPT.format(res)})
prog_response2 = ''
for message in self.programmer._call_chat_model_streaming():
chat_history[-1][1] += message
prog_response2 += message
yield chat_history
self.add_programmer_msg({"role": "assistant", "content": prog_response2})
chat_history[-1][1] += f"\n{link_info}"
yield chat_history
# else: #save file, figure..
# after_files = os.listdir(self.local_cache_dir)
# cloud_cache_info = self.check_folder(before_files, after_files)
# link_info = '\n'.join(
# [f"![{info['file_name']}]({info['download_link']})" if info['file_name'].endswith(
# (
# '.jpg', '.jpeg', '.png', '.gif')) else f"[{info['file_name']}]({info['download_link']})"
# for info in
# cloud_cache_info])
# print("res:", res)
# self.add_programmer_msg({"role": "system", "content": FIG_PROMPT})
# prog_response2 = self.programmer._call_chat_model().choices[0].message.content
# final_response = prog_response1_content + "\n" + prog_response2
# final_response += f"\n{link_info}"
else:
chat_history[-1][1] += "\nNo code detected or code is not python code." #todo : delete printing this
yield chat_history
final_response = prog_response1_content + "\nNo code detected or code is not python code."
if self.programmer.messages[-1]["role"] == "assistant":
self.programmer.messages[-1]["content"] = final_response
except Exception as e:
chat_history[-1][1] += "\nSorry, there is an error in the program, please try again."
print(f"An error occurred: {e}")
traceback.print_exc()
if self.programmer.messages[-1]["role"] == "user":
self.programmer.messages.append({"role": "assistant", "content": f"An error occurred in program: {e}"})
#return "Sorry, there is an error in the program, please try again."
#return final_response
# a previous code without streaming
def run_workflow(self,function_lib: dict=None, code=None) -> object:
try:
if not self.my_data_cache and code is None:
final_response = self.programmer._call_chat_model().choices[0].message.content
self.add_programmer_msg({"role": "assistant", "content": final_response})
else:
if not code:
#_, _ = execute(IMPORT, self.kernel) #todo prompt of install packages
prog_response1 = self.programmer._call_chat_model()
prog_response1_content = prog_response1.choices[0].message.content
self.add_programmer_msg({"role": "assistant", "content": prog_response1_content})
else:
prog_response1_content = HUMAN_LOOP.format(code=code)
self.add_programmer_msg({"role": "user", "content": prog_response1_content})
self.add_programmer_msg({"role": "assistant", "content": "I got the code, let me execute it."})
is_python, code = extract_code(prog_response1_content)
print("is_python:",is_python)
if is_python:
before_files = os.listdir(self.local_cache_dir)
res_type, res = self.run_code(code)
if res_type and res_type != 'error' or not res: # no error in code not res = res is None
after_files = os.listdir(self.local_cache_dir)
cloud_cache_info = self.check_folder(before_files, after_files)
link_info = '\n'.join([f"![{info['file_name']}]({info['download_link']})" if info['file_name'].endswith(
('.jpg', '.jpeg', '.png', '.gif')) else f"[{info['file_name']}]({info['download_link']})" for info in
cloud_cache_info])
print("res:", res)
self.add_programmer_msg({"role": "user", "content": RESULT_PROMPT.format(res)})
prog_response2 = self.programmer._call_chat_model().choices[0].message.content
final_response = prog_response1_content + "\n" + f"Execution result:\n{res}\n\n{prog_response2}"
final_response += f"\n{link_info}"
#elif not res_type and res: #error occurs in code, only image
else:
self.error_count += 1
round = 0
while res and round < self.max_attempts: #max 5 round
self.add_inspector_msg(code, res)
if round == 3:
insp_response1_content = "Try other packages or methods."
else:
insp_response1 = self.inspector._call_chat_model()
insp_response1_content = insp_response1.choices[0].message.content
self.inspector.messages.append({"role": "assistant", "content": insp_response1_content})
#self.add_programmer_msg(modify_msg)
self.add_programmer_repair_msg(code, res, insp_response1_content)
prog_response1 = self.programmer._call_chat_model()
prog_response1_content = prog_response1.choices[0].message.content
self.add_programmer_msg({"role": "assistant", "content": prog_response1_content})
is_python, code = extract_code(prog_response1_content)
if is_python:
before_files = os.listdir(self.local_cache_dir)
res_type, res = self.run_code(code)
if res_type or not res: # execute successfully
self.repair_count += 1
break
round += 1
if round == self.max_attempts: # max retry
# self.add_programmer_msg({"role": "assistant", "content": "Sorry, I can't fix the code, can you help me to modified it or give some suggestions?"})
return prog_response1_content + "\nSorry, I can't fix the code, can you help me to modified it or give some suggestions?"
# revision successful
after_files = os.listdir(self.local_cache_dir)
cloud_cache_info = self.check_folder(before_files, after_files)
link_info = '\n'.join([f"![{info['file_name']}]({info['download_link']})" if info['file_name'].endswith(
('.jpg', '.jpeg', '.png', '.gif')) else f"[{info['file_name']}]({info['download_link']})" for info in
cloud_cache_info])
print("res:", res)
if 'head()' in code:
self.messages.append({"role": "user", "content": MKD_PROMPT.format(res)})
mkd_res = self.call_chat_model(max_tokens=512).choices[0].message.content
res = mkd_res
self.messages.pop()
self.add_programmer_msg({"role": "user", "content": RESULT_PROMPT.format(res)})
prog_response2 = self.programmer._call_chat_model().choices[0].message.content
# todo: delete code in second response
# prog_response2 = remove_code_blocks(prog_response2)
self.add_programmer_msg({"role": "assistant", "content": prog_response2})
# final_response = prog_response1_content + "\n" + prog_response2
final_response = prog_response1_content + "\n" + f"Execution result:\n{res}\n\n{prog_response2}"
final_response += f"\n{link_info}"
# else: #save file, figure..
# after_files = os.listdir(self.local_cache_dir)
# cloud_cache_info = self.check_folder(before_files, after_files)
# link_info = '\n'.join(
# [f"![{info['file_name']}]({info['download_link']})" if info['file_name'].endswith(
# (
# '.jpg', '.jpeg', '.png', '.gif')) else f"[{info['file_name']}]({info['download_link']})"
# for info in
# cloud_cache_info])
# print("res:", res)
# self.add_programmer_msg({"role": "system", "content": FIG_PROMPT})
# prog_response2 = self.programmer._call_chat_model().choices[0].message.content
# final_response = prog_response1_content + "\n" + prog_response2
# final_response += f"\n{link_info}"
else:
final_response = prog_response1_content + "\n" + "No code detected or code is not python code."
if self.programmer.messages[-1]["role"] == "assistant":
self.programmer.messages[-1]["content"] = final_response
except Exception as e:
print(f"An error occurred: {e}")
traceback.print_exc()
if self.programmer.messages[-1]["role"] == "user":
self.programmer.messages.append({"role": "assistant", "content": f"An error occurred in program: {e}"})
return "Sorry, there is an error in the program, please try again."
return final_response
# function_lib = {
#
# }