222 lines
6.7 KiB
Python
Executable File
222 lines
6.7 KiB
Python
Executable File
#!/usr/bin/env python3
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# MIT License
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# Copyright (c) 2023 wunderwuzzi23
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# Greetings from Seattle!
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import os
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import platform
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import openai
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import sys
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import subprocess
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import dotenv
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import distro
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import yaml
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import pyperclip
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from termcolor import colored
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from colorama import init
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def read_config() -> any:
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## Find the executing directory (e.g. in case an alias is set)
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## So we can find the config file
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yolo_path = os.path.abspath(__file__)
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prompt_path = os.path.dirname(yolo_path)
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config_file = os.path.join(prompt_path, "yolo.yaml")
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with open(config_file, 'r') as file:
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return yaml.safe_load(file)
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# Construct the prompt
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def get_full_prompt(user_prompt, shell):
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## Find the executing directory (e.g. in case an alias is set)
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## So we can find the prompt.txt file
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yolo_path = os.path.abspath(__file__)
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prompt_path = os.path.dirname(yolo_path)
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## Load the prompt and prep it
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prompt_file = os.path.join(prompt_path, "prompt.txt")
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pre_prompt = open(prompt_file,"r").read()
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pre_prompt = pre_prompt.replace("{shell}", shell)
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pre_prompt = pre_prompt.replace("{os}", get_os_friendly_name())
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prompt = pre_prompt + user_prompt
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# be nice and make it a question
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if prompt[-1:] != "?" and prompt[-1:] != ".":
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prompt+="?"
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return prompt
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def print_usage():
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print("Yolo v0.2 - by @wunderwuzzi23")
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print()
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print("Usage: yolo [-a] list the current directory information")
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print("Argument: -a: Prompt the user before running the command (only useful when safety is off)")
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print()
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yolo_safety_switch = "on"
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if config["safety"] != True:
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yolo_safety_switch = "off"
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print("Current configuration per yolo.yaml:")
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print("* Model : " + str(config["model"]))
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print("* Temperature : " + str(config["temperature"]))
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print("* Max. Tokens : " + str(config["max_tokens"]))
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print("* Safety : " + yolo_safety_switch)
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def get_os_friendly_name():
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# Get OS Name
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os_name = platform.system()
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if os_name == "Linux":
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return "Linux/"+distro.name(pretty=True)
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elif os_name == "Windows":
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return os_name
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elif os_name == "Darwin":
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return "Darwin/macOS"
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else:
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return os_name
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def set_api_key():
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# Two options for the user to specify they openai api key.
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#1. Place a ".env" file in same directory as this with the line:
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# OPENAI_API_KEY="<yourkey>"
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# or do `export OPENAI_API_KEY=<yourkey>` before use
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dotenv.load_dotenv()
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openai.api_key = os.getenv("OPENAI_API_KEY")
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#2. Place a ".openai.apikey" in the home directory that holds the line:
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# <yourkey>
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# Note: This options will likely be removed in the future
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if not openai.api_key: #If statement to avoid "invalid filepath" error
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home_path = os.path.expanduser("~")
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openai.api_key_path = os.path.join(home_path,".openai.apikey")
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#3. Final option is the key might be in the yolo.yaml config file
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# openai_apikey: <yourkey>
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if not openai.api_key:
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openai.api_key = config["openai_api_key"]
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if __name__ == "__main__":
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config = read_config()
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set_api_key()
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# Unix based SHELL (/bin/bash, /bin/zsh), otherwise assuming it's Windows
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shell = os.environ.get("SHELL", "powershell.exe")
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command_start_idx = 1 # Question starts at which argv index?
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ask_flag = False # safety switch -a command line argument
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yolo = "" # user's answer to safety switch (-a) question y/n
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# Parse arguments and make sure we have at least a single word
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if len(sys.argv) < 2:
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print_usage()
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sys.exit(-1)
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# Safety switch via argument -a (local override of global setting)
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# Force Y/n questions before running the command
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if sys.argv[1] == "-a":
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ask_flag = True
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command_start_idx = 2
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# To allow easy/natural use we don't require the input to be a
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# single string. So, the user can just type yolo what is my name?
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# without having to put the question between ''
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arguments = sys.argv[command_start_idx:]
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user_prompt = " ".join(arguments)
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def call_open_ai(query):
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# do we have a prompt from the user?
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if query == "":
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print ("No user prompt specified.")
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sys.exit(-1)
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# Load the correct prompt based on Shell and OS and append the user's prompt
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prompt = get_full_prompt(query, shell)
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# Make the first line also the system prompt
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system_prompt = prompt[1]
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#print(prompt)
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# Call the ChatGPT API
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response = openai.ChatCompletion.create(
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model=config["model"],
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messages=[
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": prompt}
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],
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temperature=config["temperature"],
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max_tokens=config["max_tokens"],
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)
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return response.choices[0].message.content.strip()
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#Enable color output on Windows using colorama
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init()
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def check_for_issue(response):
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prefixes = ("sorry", "i'm sorry", "the question is not clear", "i'm", "i am")
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if response.lower().startswith(prefixes):
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print(colored("There was an issue: "+response, 'red'))
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sys.exit(-1)
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def check_for_markdown(response):
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# odd corner case, sometimes ChatCompletion returns markdown
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if response.count("```",2):
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print(colored("The proposed command contains markdown, so I did not execute the response directly: \n", 'red')+response)
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sys.exit(-1)
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def missing_posix_display():
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display = subprocess.check_output("echo $DISPLAY", shell=True)
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return display == b'\n'
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def prompt_user_input(response):
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print("Command: " + colored(response, 'blue'))
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if config["safety"] != "off" or ask_flag == True:
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prompt_text = "Execute command? [Y]es [n]o [m]odify [c]opy to clipboard ==> "
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if os.name == "posix" and missing_posix_display():
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prompt_text = "Execute command? [Y]es [n]o [m]odify ==> "
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print(prompt_text, end = '')
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user_input = input()
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return user_input
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def evaluate_input(user_input, command):
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if user_input.upper() == "Y" or user_input == "":
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if shell == "powershell.exe":
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subprocess.run([shell, "/c", command], shell=False)
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else:
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# Unix: /bin/bash /bin/zsh: uses -c both Ubuntu and macOS should work, others might not
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subprocess.run([shell, "-c", command], shell=False)
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if user_input.upper() == "M":
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print("Modify prompt: ", end = '')
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modded_query = input()
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modded_response = call_open_ai(modded_query)
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check_for_issue(modded_response)
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check_for_markdown(modded_response)
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modded_user_input = prompt_user_input(modded_response)
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print()
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evaluate_input(modded_user_input, modded_response)
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if user_input.upper() == "C":
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if os.name == "posix" and missing_posix_display():
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return
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pyperclip.copy(command)
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print("Copied command to clipboard.")
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res_command = call_open_ai(user_prompt)
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check_for_issue(res_command)
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check_for_markdown(res_command)
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user_iput = prompt_user_input(res_command)
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print()
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evaluate_input(user_iput, res_command)
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