mirror of
https://github.com/aljazceru/gpt-engineer.git
synced 2025-12-17 12:45:26 +01:00
138 lines
4.2 KiB
Python
138 lines
4.2 KiB
Python
import json
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import subprocess
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from gpt_engineer.ai import AI
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from gpt_engineer.chat_to_files import to_files
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from gpt_engineer.db import DBs
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from gpt_engineer.chat_to_files import parse_chat
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def setup_sys_prompt(dbs):
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return dbs.identity["setup"] + "\nUseful to know:\n" + dbs.identity["philosophy"]
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def run(ai: AI, dbs: DBs):
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"""Run the AI on the main prompt and save the results"""
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messages = ai.start(
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setup_sys_prompt(dbs),
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dbs.input["main_prompt"],
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)
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to_files(messages[-1]["content"], dbs.workspace)
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return messages
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def clarify(ai: AI, dbs: DBs):
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"""
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Ask the user if they want to clarify anything and save the results to the workspace
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"""
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messages = [ai.fsystem(dbs.identity["qa"])]
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user = dbs.input["main_prompt"]
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while True:
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messages = ai.next(messages, user)
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if messages[-1]['content'].strip().lower().startswith("no"):
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break
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print()
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user = input('(answer in text, or "q" to move on)\n')
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print()
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if not user or user == "q":
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break
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user += (
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"\n\n"
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"Is anything else unclear? If yes, only answer in the form:\n"
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"{remaining unclear areas} remaining questions.\n"
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"{Next question}\n"
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'If everything is sufficiently clear, only answer "no".'
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)
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print()
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return messages
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def gen_spec(ai: AI, dbs: DBs):
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'''
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Generate a spec from the main prompt + clarifications and save the results to the workspace
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'''
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messages = [ai.fsystem(setup_sys_prompt(dbs)), ai.fsystem(f"Main prompt: {dbs.input['main_prompt']}")]
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messages = ai.next(messages, dbs.identity['spec'])
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messages = ai.next(messages, dbs.identity['respec'])
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messages = ai.next(messages, dbs.identity['spec'])
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dbs.memory['specification'] = messages[-1]['content']
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return messages
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def pre_unit_tests(ai: AI, dbs: DBs):
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'''
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Generate unit tests based on the specification, that should work.
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'''
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messages = [ai.fsystem(setup_sys_prompt(dbs)), ai.fuser(f"Instructions: {dbs.input['main_prompt']}"), ai.fuser(f"Specification:\n\n{dbs.memory['specification']}")]
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messages = ai.next(messages, dbs.identity['unit_tests'])
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dbs.memory['unit_tests'] = messages[-1]['content']
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to_files(dbs.memory['unit_tests'], dbs.workspace)
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return messages
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def run_clarified(ai: AI, dbs: DBs):
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# get the messages from previous step
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messages = [
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ai.fsystem(setup_sys_prompt(dbs)),
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ai.fuser(f"Instructions: {dbs.input['main_prompt']}"),
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ai.fuser(f"Specification:\n\n{dbs.memory['specification']}"),
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ai.fuser(f"Unit tests:\n\n{dbs.memory['unit_tests']}"),
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]
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messages = ai.next(messages, dbs.identity["use_qa"])
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to_files(messages[-1]["content"], dbs.workspace)
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return messages
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def execute_workspace(ai: AI, dbs: DBs):
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messages = ai.start(
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system=(
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f"You will get information about a codebase that is currently on disk in the folder {dbs.workspace.path}.\n"
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"From this you will answer with code blocks that includes all the necessary Windows, MacOS, and Linux terminal commands to "
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"a) install dependencies "
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"b) run the necessary parts of the codebase to try it.\n"
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"Do not explain the code, just give the commands.\n"
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),
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user="Information about the codebase:\n\n" + dbs.workspace["all_output.txt"],
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)
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[[lang, command]] = parse_chat(messages[-1]['content'])
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assert lang in ['', 'bash', 'sh']
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print('Do you want to execute this code?')
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print(command)
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print()
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print('If yes, press enter. If no, type "no"')
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print()
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if input() == 'no':
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print('Ok, not executing the code.')
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return messages
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print('Executing the code...')
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print()
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subprocess.run(command, shell=True)
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return messages
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# Different configs of what steps to run
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STEPS = {
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'default': [gen_spec, pre_unit_tests, run_clarified, execute_workspace],
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'simple': [run, execute_workspace],
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'clarify': [clarify, run_clarified],
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}
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# Future steps that can be added:
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# self_reflect_and_improve_files,
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# add_tests
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# run_tests_and_fix_files,
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# improve_based_on_in_file_feedback_comments
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