import json

from gpt_engineer.ai import AI
from gpt_engineer.chat_to_files import to_files
from gpt_engineer.db import DBs


def setup_sys_prompt(dbs):
    return dbs.identity['setup'] + '\nUseful to know:\n' + dbs.identity['philosophy']


def run(ai: AI, dbs: DBs):
    '''Run the AI on the main prompt and save the results'''
    messages = ai.start(
        setup_sys_prompt(dbs),
        dbs.input['main_prompt'],
    )
    to_files(messages[-1]['content'], dbs.workspace)
    return messages


def clarify(ai: AI, dbs: DBs):
    '''
    Ask the user if they want to clarify anything and save the results to the workspace
    '''
    messages = [ai.fsystem(dbs.identity['qa'])]
    user = dbs.input['main_prompt']
    while True:
        messages = ai.next(messages, user)

        if messages[-1]['content'].strip().lower() == 'no':
            break

        print()
        user = input('(answer in text, or "q" to move on)\n')
        print()

        if not user or user == 'q':
            break

        user += (
            '\n\n'
            'Is anything else unclear? If yes, only answer in the form:\n'
            '{remaining unclear areas} remaining questions.\n'
            '{Next question}\n'
            'If everything is sufficiently clear, only answer "no".'
        )

    print()
    return messages


def gen_spec(ai: AI, dbs: DBs):
    '''
    Generate a spec from the main prompt + clarifications and save the results to the workspace
    '''
    messages = [ai.fsystem(setup_sys_prompt(dbs)), ai.fsystem(f"Main prompt: {dbs.input['main_prompt']}")]

    messages = ai.next(messages, dbs.identity['spec'])
    messages = ai.next(messages, dbs.identity['respec'])
    messages = ai.next(messages, dbs.identity['spec'])

    dbs.memory['specification'] = messages[-1]['content']

    return messages

def pre_unit_tests(ai: AI, dbs: DBs):
    '''
    Generate unit tests based on the specification, that should work.
    '''
    messages = [ai.fsystem(setup_sys_prompt(dbs)), ai.fuser(f"Instructions: {dbs.input['main_prompt']}"), ai.fuser(f"Specification:\n\n{dbs.memory['specification']}")]

    messages = ai.next(messages, dbs.identity['unit_tests'])

    dbs.memory['unit_tests'] = messages[-1]['content']
    to_files(dbs.memory['unit_tests'], dbs.workspace)

    return messages


def run_clarified(ai: AI, dbs: DBs):
    # get the messages from previous step

    messages = [
        ai.fsystem(setup_sys_prompt(dbs)),
        ai.fuser(f"Instructions: {dbs.input['main_prompt']}"),
        ai.fuser(f"Specification:\n\n{dbs.memory['specification']}"),
        ai.fuser(f"Unit tests:\n\n{dbs.memory['unit_tests']}"),
    ]
    messages = ai.next(messages, dbs.identity['use_qa'])
    to_files(messages[-1]['content'], dbs.workspace)
    return messages


# Different configs of what steps to run
STEPS = {
    'default': [run],
    'unit_tests': [gen_spec, pre_unit_tests, run_clarified],
    'clarify': [clarify, run_clarified],
}

# Future steps that can be added:
# improve_files,
# add_tests
# run_tests_and_fix_files,
# improve_based_on_in_file_feedback_comments