from json import loads
from re import match
from time import time, sleep
from uuid import uuid4

from altair.vegalite.v3 import Generator
from fake_useragent import UserAgent
from requests import post
from tls_client import Session

from .mail import Mail
from .models import ForeFrontResponse


class Account:
    @staticmethod
    def create(proxy=None, logging=False):
        proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else False

        start = time()

        mail_client = Mail(proxies)
        mail_token = None
        mail_address = mail_client.get_mail()

        # print(mail_address)

        client = Session(client_identifier='chrome110')
        client.proxies = proxies
        client.headers = {
            'origin': 'https://accounts.forefront.ai',
            'user-agent': UserAgent().random,
        }

        response = client.post(
            'https://clerk.forefront.ai/v1/client/sign_ups?_clerk_js_version=4.32.6',
            data={'email_address': mail_address},
        )

        trace_token = response.json()['response']['id']
        if logging:
            print(trace_token)

        response = client.post(
            f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.32.6',
            data={
                'strategy': 'email_code',
            },
        )

        if logging:
            print(response.text)

        if 'sign_up_attempt' not in response.text:
            return 'Failed to create account!'

        while True:
            sleep(1)
            for _ in mail_client.fetch_inbox():
                print(mail_client.get_message_content(_['id']))
                mail_token = match(r'(\d){5,6}', mail_client.get_message_content(_['id'])).group(0)

            if mail_token:
                break

        if logging:
            print(mail_token)

        response = client.post(
            f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/attempt_verification?_clerk_js_version=4.38.4',
            data={'code': mail_token, 'strategy': 'email_code'},
        )

        if logging:
            print(response.json())

        token = response.json()['client']['sessions'][0]['last_active_token']['jwt']

        with open('accounts.txt', 'a') as f:
            f.write(f'{mail_address}:{token}\n')

        if logging:
            print(time() - start)

        return token


class StreamingCompletion:
    @staticmethod
    def create(
        token=None,
        chat_id=None,
        prompt='',
        action_type='new',
        default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0',  # default
        model='gpt-4',
    ) -> Generator[ForeFrontResponse, None, None]:
        if not token:
            raise Exception('Token is required!')
        if not chat_id:
            chat_id = str(uuid4())

        headers = {
            'authority': 'chat-server.tenant-forefront-default.knative.chi.coreweave.com',
            'accept': '*/*',
            'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
            'authorization': 'Bearer ' + token,
            'cache-control': 'no-cache',
            'content-type': 'application/json',
            'origin': 'https://chat.forefront.ai',
            'pragma': 'no-cache',
            'referer': 'https://chat.forefront.ai/',
            'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
            'sec-ch-ua-mobile': '?0',
            'sec-ch-ua-platform': '"macOS"',
            'sec-fetch-dest': 'empty',
            'sec-fetch-mode': 'cors',
            'sec-fetch-site': 'cross-site',
            'user-agent': UserAgent().random,
        }

        json_data = {
            'text': prompt,
            'action': action_type,
            'parentId': chat_id,
            'workspaceId': chat_id,
            'messagePersona': default_persona,
            'model': model,
        }

        for chunk in post(
            'https://chat-server.tenant-forefront-default.knative.chi.coreweave.com/chat',
            headers=headers,
            json=json_data,
            stream=True,
        ).iter_lines():
            if b'finish_reason":null' in chunk:
                data = loads(chunk.decode('utf-8').split('data: ')[1])
                token = data['choices'][0]['delta'].get('content')

                if token is not None:
                    yield ForeFrontResponse(
                        **{
                            'id': chat_id,
                            'object': 'text_completion',
                            'created': int(time()),
                            'text': token,
                            'model': model,
                            'choices': [{'text': token, 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}],
                            'usage': {
                                'prompt_tokens': len(prompt),
                                'completion_tokens': len(token),
                                'total_tokens': len(prompt) + len(token),
                            },
                        }
                    )


class Completion:
    @staticmethod
    def create(
        token=None,
        chat_id=None,
        prompt='',
        action_type='new',
        default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0',  # default
        model='gpt-4',
    ) -> ForeFrontResponse:
        final_response = None
        for response in StreamingCompletion.create(
            token=token,
            chat_id=chat_id,
            prompt=prompt,
            action_type=action_type,
            default_persona=default_persona,
            model=model,
        ):
            final_response = response

        return final_response