mirror of
https://github.com/Pythagora-io/gpt-pilot.git
synced 2026-01-09 21:27:53 -05:00
177 lines
5.2 KiB
Python
177 lines
5.2 KiB
Python
# prompts/prompts.py
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import inquirer
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from inquirer.themes import GreenPassion
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from termcolor import colored
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from const import common
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from const.llm import MAX_QUESTIONS, END_RESPONSE
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from utils.llm_connection import create_gpt_chat_completion, get_prompt
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from utils.utils import capitalize_first_word_with_underscores, get_sys_message, find_role_from_step
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from logger.logger import logger
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def ask_for_app_type():
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questions = [
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inquirer.List('type',
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message="What type of app do you want to build?",
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choices=common.APP_TYPES,
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)
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]
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answers = inquirer.prompt(questions, theme=GreenPassion())
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if answers is None:
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print("Exiting application.")
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exit(0)
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while 'unavailable' in answers['type']:
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print("Sorry, that option is not available.")
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answers = inquirer.prompt(questions, theme=GreenPassion())
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if answers is None:
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print("Exiting application.")
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exit(0)
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print("You chose: " + answers['type'])
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logger.info(f"You chose: {answers['type']}")
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return answers['type']
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def ask_for_main_app_definition():
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questions = [
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inquirer.Text('description', message="Describe your app in as many details as possible.")
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]
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answers = inquirer.prompt(questions, theme=GreenPassion())
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if answers is None:
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print("No input provided!")
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return
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description = answers['description']
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while True:
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questions = [
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inquirer.Text('confirmation', message="Do you want to add anything else? If not, just press ENTER.")
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]
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answers = inquirer.prompt(questions, theme=GreenPassion())
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if answers is None or answers['confirmation'] == '':
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break
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elif description[-1] not in ['.', '!', '?', ';']:
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description += '.'
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description += ' ' + answers['confirmation']
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logger.info(f"Initial App description done: {description}")
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return description
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def ask_user(question):
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while True:
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questions = [
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inquirer.Text('answer', message=question)
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]
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answers = inquirer.prompt(questions, theme=GreenPassion())
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if answers is None:
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print("Exiting application.")
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exit(0)
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if answers['answer'].strip() == '':
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print("No input provided! Please try again.")
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continue
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else:
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return answers['answer']
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def get_additional_info_from_openai(messages):
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is_complete = False
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while not is_complete:
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# Obtain clarifications using the OpenAI API
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response = create_gpt_chat_completion(messages, 'additional_info')
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if response is not None:
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if response.strip() == END_RESPONSE:
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print(response)
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return messages
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# Ask the question to the user
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answer = ask_user(response)
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# Add the answer to the messages
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messages.append({'role': 'assistant', 'content': response})
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messages.append({'role': 'user', 'content': answer})
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else:
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is_complete = True
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logger.info('Getting additional info from openai done')
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return messages
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def get_additional_info_from_user(messages, role):
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updated_messages = []
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for message in messages:
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while True:
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print(colored(f"Please check this message and say what needs to be changed. If everything is ok just type 'DONE'.", "yellow"))
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answer = ask_user(message)
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if answer.lower() == 'done':
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break
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response = create_gpt_chat_completion(
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generate_messages_from_custom_conversation(role, [get_prompt('utils/update.prompt'), message, answer], 'user'),
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'additional_info')
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message = response
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updated_messages.append(message)
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logger.info('Getting additional info from user done')
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return "\n\n".join(updated_messages)
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def generate_messages_from_description(description, app_type):
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prompt = get_prompt('high_level_questions/specs.prompt', {
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'prompt': description,
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'app_type': app_type,
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'MAX_QUESTIONS': MAX_QUESTIONS
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})
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return [
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get_sys_message('product_owner'),
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{"role": "user", "content": prompt},
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]
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def generate_messages_from_custom_conversation(role, messages, start_role='user'):
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result = [get_sys_message(role)]
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for i, message in enumerate(messages):
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if i % 2 == 0:
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result.append({"role": start_role, "content": message})
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else:
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result.append({"role": "assistant" if start_role == "user" else "user", "content": message})
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return result
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def execute_chat_prompt(prompt_file, prompt_data, chat_type):
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# Generate a prompt for the completion type.
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prompt = get_prompt(prompt_file, prompt_data)
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# Pass the prompt to the API.
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messages = [
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get_sys_message(find_role_from_step(chat_type)),
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{"role": "user", "content": prompt},
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]
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response = create_gpt_chat_completion(messages, chat_type)
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print_msg = capitalize_first_word_with_underscores(chat_type)
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print(colored(f"{print_msg}:\n", "green"))
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print(f"{response}")
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logger.info(f"{print_msg}: {response}\n")
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return response |