docs: ✏️ put unused docs into archive

This commit is contained in:
Grey_D
2023-04-05 12:54:28 +08:00
parent 7850f76bdb
commit 13de83ecef
12 changed files with 17 additions and 8 deletions

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# LLM-Handle
## General
The LLM-Handle is the tool to automate the process of communicating with LLM models such as ChatGPT. It mainly performs the following tasks:
- Initialize the task with some pre-set prompts
- Extract the useful information from the model's response
- Pass the outside information to the model as accurate command.
## Example usage
TODO

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import re
def extract_cmd(response: str) -> str:
"""
Process the response from chatgpt_wrapper, and extract the command for the bot.
Parameters
----------
response: str
The response from chatgpt_wrapper.
Returns
----------
command: str
The command for the bot.
"""
# The response from chatgpt_wrapper is a string.
# The command is wrapped in ```<command>```, and our goal is to extract the command.
try:
code_count = response.count("```")
if code_count == 0:
return False
elif code_count % 2 == 1:
raise ValueError("The number of ``` is not even.")
# Extract the command from the response.
result_list = re.findall(r"```(.+?)```", response, re.DOTALL)
if len(result_list) > 1:
raise ValueError("More than one command is found.")
except AttributeError: # Nonetype, nothing found
return False
result = result_list[0]
if result[0] == "\n": # If the command starts with a newline, remove it.
result = result[1:]
return result

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import os, subprocess
def execute_cmd(cmd: str) -> str:
"""
Execute the command in the mac terminal.
Parameters
----------
cmd: str
The command to be executed.
Returns
----------
output: str
The output of the command.
"""
try:
# execute the command in the system terminal
p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=None, shell=True)
output = ""
# some tools may take time to execute. Wait until the output is finished.
while True:
line_output = p.stdout.readline()
if line_output:
output += line_output.decode("utf-8")
if line_output == b"" and p.poll() is not None:
break
return output
except Exception as e:
print("Error in executing the command:", e)
return None

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# declare the custom types of exceptions
class NoCodeFromResponseException(Exception):
pass

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from chatgpt_wrapper import ChatGPT
from task_handle.cmd_execution import execute_cmd
import os, logging, re
from .custom_exceptions import NoCodeFromResponseException
class chatGPTTemplate:
"""
A template for the chatGPT task.
It contains the basic functions that are required for the task.
"""
def __init__(self, bot_session, init_script=None):
"""
Initialize the by taking the session
The bot session is a standard chatgpt_wrapper bot session.
More details at https://github.com/mmabrouk/chatgpt-wrapper
Parameters:
Variables:
Returns:
"""
## Default storage variable
self._chat_history = [] # Ask, Answer, Ask, Answer, ...
self.logger = logging.getLogger()
logging.basicConfig(level=logging.INFO)
## Define all the variables
self._bot_session = bot_session
self._init_script = init_script
self._prefix = None
self._exception_ask = {}
def _extract_command(self, response: str) -> str:
"""
This function is used to extract the command from the response.
Parameters:
response (str): The response from the bot.
Returns:
command (str): The command to be executed.
"""
try:
code_count = response.count("```")
if code_count == 0:
raise NoCodeFromResponseException("No code is found in the response.")
elif code_count % 2 == 1:
raise ValueError("The number of ``` is not even.")
# Extract the command from the response.
result_list = re.findall(r"```(.+?)```", response, re.DOTALL)
if len(result_list) > 1:
raise ValueError("More than one command is found.")
except Exception: # Nonetype, nothing found
raise NoCodeFromResponseException("No code is found in the response.")
result = result_list[0]
if result[0] == "\n": # If the command starts with a newline, remove it.
result = result[1:]
return result
def _cmd_wrapper(self, cmd: str) -> str:
"""
This function is used to wrap the command execution function.
Parameters:
cmd (str): The command to be executed.
Returns:
output (str): The output of the command, or an Exception
"""
# the possible types of exceptions
output = execute_cmd(cmd)
return output
def _update_init_script(self, init_script: str):
"""
This function is used to update the initialization script.
Parameters:
init_script (str): The initialization script.
Returns:
"""
self._init_script = init_script
def _update_prefix(self, prefix: str):
"""
This function is used to update the prefix.
Parameters:
prefix (str): The prefix to be appended.
Returns:
"""
self._prefix = prefix
def _append_prefix(self, question: str, prefix: str):
"""
This function is used to append the prefix to the question to ask the bot.
Parameters:
prefix (str): The prefix to be appended.
Returns:
"""
return prefix + question
########## Implementations ##########
def initialize(self):
"""
This function is called when the task is initialized.
This is used to provide the necessary information for the task.
"""
if self._init_script is not None:
self._bot_session.ask(self._init_script)
def ask(self, question: str, need_prefix=False) -> str:
"""
Wrap the default bot ask function.
Parameters:
question (str): The question to ask the bot.
Returns:
response (str): The response from the bot.
"""
if need_prefix:
question = self._append_prefix(question, self._prefix)
try:
self.logger.info("Asking the question: \n%s \n------------" % question)
response = self._bot_session.ask(question)
self.logger.info("The response is: \n%s \n------------" % response)
self._chat_history.append(question)
self._chat_history.append(response)
return response
except Exception as e:
print("Error in asking the question:", e)
return None
def exception_ask(self, question: str) -> str:
"""
This function is used to ask the bot when an exception is raised.
Parameters:
question (str): The question to ask the bot.
Returns:
response (str): The response from the bot.
"""
if self._exception_ask is not None:
return self.ask(self._exception_ask)
else:
return None
def run(self):
"""
The function with the main logic. This should be overwritten in the task execution.
"""
print("Please override the run function!")
pass