import json import os import sys import time import re from pathlib import Path from typing import List, Literal, Optional, Tuple, TypedDict, Dict # Get the path from environment variable prj_root_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) sys.path.append(prj_root_path) from code_interpreter.JuypyterClient import JupyterNotebook from code_interpreter.BaseCodeInterpreter import BaseCodeInterpreter from utils.const import * from prompt.gpt4_prompt import CODE_INTERPRETER_SYSTEM_PROMPT # from prompt.gpt4_prompt import CODE_INTERPRETER_SYSTEM_PROMPT from colorama import init, Fore, Style from rich.markdown import Markdown import base64 import openai from retrying import retry import logging from termcolor import colored # load from key file with open("./openai_api_key.txt") as f: OPENAI_API_KEY = key = f.read() openai.api_key = OPENAI_API_KEY from utils.cleaner import clean_error_msg def remove_string(s): pattern = r"\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}\.\d{6}:.*LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64\n" return re.sub(pattern, "", s) def clean_the_dialog(dialog, question): question_idx = 0 for idx, item in enumerate(dialog): if item["content"] == question: question_idx = idx filtered_dialog = dialog[question_idx:] user_qinit_dict = filtered_dialog[0] answer_fuse_str = "\n".join([i["content"].strip() for i in filtered_dialog[1::2]]) final_dialog_dict = [ {"role": "user", "content": user_qinit_dict["content"]}, {"role": "assistant", "content": answer_fuse_str}, ] return final_dialog_dict class GPTCodeInterpreter(BaseCodeInterpreter): def __init__(self, model="gpt-4"): self.model = model self.dialog = [ # {"role": "system", "content": CODE_INTERPRETER_SYSTEM_PROMPT }, { "role": "system", "content": CODE_INTERPRETER_SYSTEM_PROMPT, }, # {"role": "user", "content": "How can I use BeautifulSoup to scrape a website and extract all the URLs on a page?"}, # {"role": "assistant", "content": "I think I need to use beatifulsoup to find current korean president,"} ] # self.dialog += few_shot_4 self.response = None assert os.path.isfile( "./openai_api_key.txt" ), "The openai_api_key.txt file could not be found. Please make sure it is in the same directory as this script, and that it contains your OpenAI API key." # load from key file with open("./openai_api_key.txt") as f: OPENAI_API_KEY = f.read() openai.api_key = OPENAI_API_KEY self.nb = JupyterNotebook() out = self.nb.add_and_run(TOOLS_CODE) # tool import def get_response_content(self): if self.response: return self.response["choices"][0]["message"]["content"] else: return None @retry( stop_max_attempt_number=7, wait_exponential_multiplier=1000, wait_exponential_max=10000, ) def ChatCompletion(self): try: self.response = openai.ChatCompletion.create( model=self.model, messages=self.dialog, temperature=0.2, top_p=0.9 ) except Exception as e: print(f"error while OPENAI api call {e}") def close(self): """ close jupyter notebook, and this class instance """ self.nb.close() def save_dialog(self, path: str = "./output/dialog.json"): with open(path, "w") as f: json.dump(self.dialog, f) print(f" ++Dialog saved to [{path}]") def chat( self, user_message: str, VERBOSE: bool = False, MAX_TRY: int = 6, code_exec_prefix: str = "", feedback_prompt: str = "", append_result: bool = True, ): self.dialog.append({"role": "user", "content": user_message}) code_block_output = "" attempt = 0 img_data = None if VERBOSE: print( "###User : " + Fore.BLUE + Style.BRIGHT + user_message + Style.RESET_ALL ) print("\n###Assistant : ") for i in range(MAX_TRY): # GPT response self.ChatCompletion() # Get code block generated_text = self.get_response_content() generated_code_blocks = self.extract_code_blocks(generated_text) # execute code if len(generated_code_blocks) > 0: # Find the position of the first code block in the last answer first_code_block_pos = ( generated_text.find(generated_code_blocks[0]) if generated_code_blocks else -1 ) text_before_first_code_block = ( generated_text if first_code_block_pos == -1 else generated_text[:first_code_block_pos] ) if VERBOSE: print(Fore.GREEN + text_before_first_code_block + Style.RESET_ALL) if VERBOSE: print( Fore.YELLOW + generated_code_blocks[0] + "\n```\n" + Style.RESET_ALL ) code_block_output, error_flag = self.execute_code_and_return_output( generated_code_blocks[0] ) code_block_output = f"{code_block_output}" if code_block_output is not None: code_block_output = code_block_output.strip() code_block_output = remove_string(code_block_output) if len(code_block_output) > 500: code_block_output = ( code_block_output[:200] + "⋯(skip)⋯" + code_block_output[-200:] ) code_block_output_str = f"\n```RESULT\n{code_block_output}\n```\n" if append_result: gen_final = f"{text_before_first_code_block}{generated_code_blocks[0]}\n```{code_block_output_str}" if VERBOSE: print( Fore.LIGHTBLACK_EX + code_block_output_str + Style.RESET_ALL ) else: gen_final = ( f"{text_before_first_code_block}{generated_code_blocks[0]}\n```" ) self.dialog.append( { "role": "assistant", "content": gen_final, } ) if len(feedback_prompt) < 5: feedback_dict = { "role": "user", "content": "Keep going. if you think debugging tell me where you got wrong and better code.\nNeed conclusion to question only text (Do not leave result part alone).\nif doesn't need to generated anything then just say ", } else: feedback_dict = { "role": "user", "content": f"{feedback_prompt}", } self.dialog.append(feedback_dict) else: if "" in generated_text: generated_text = generated_text.split("")[0].strip() if len(generated_text) <= 0: break if VERBOSE: print(Fore.GREEN + generated_text + Style.RESET_ALL) self.dialog.append( { "role": "assistant", "content": f"{generated_text}", } ) break self.dialog = [self.dialog[0]] + clean_the_dialog( self.dialog, question=user_message ) # delete retrospections after generation step return self.dialog[-1]