import json
import os

from nostr_dvm.interfaces.dvmtaskinterface import DVMTaskInterface, process_venv
from nostr_dvm.utils.admin_utils import AdminConfig
from nostr_dvm.utils.definitions import EventDefinitions
from nostr_dvm.utils.dvmconfig import DVMConfig, build_default_config
from nostr_dvm.utils.nip89_utils import NIP89Config, check_and_set_d_tag

"""
This File contains a Module to generate Text, based on a prompt using the Unleashed.chat API.

Accepted Inputs: Prompt (text)
Outputs: Generated text
"""


class TextGenerationUnleashedChat(DVMTaskInterface):
    KIND: int = EventDefinitions.KIND_NIP90_GENERATE_TEXT
    TASK: str = "text-to-text"
    FIX_COST: float = 10
    dependencies = [("nostr-dvm", "nostr-dvm"),
                    ("openai", "openai")]

    def __init__(self, name, dvm_config: DVMConfig, nip89config: NIP89Config,
                 admin_config: AdminConfig = None, options=None):
        dvm_config.SCRIPT = os.path.abspath(__file__)
        super().__init__(name, dvm_config, nip89config, admin_config, options)

    def is_input_supported(self, tags, client=None, dvm_config=None):
        for tag in tags:
            if tag.as_vec()[0] == 'i':
                input_value = tag.as_vec()[1]
                input_type = tag.as_vec()[2]
                if input_type != "text":
                    return False

        return True

    def create_request_from_nostr_event(self, event, client=None, dvm_config=None):
        request_form = {"jobID": event.id().to_hex() + "_" + self.NAME.replace(" ", "")}
        prompt = ""
        nostr_mode= True

        for tag in event.tags():
            if tag.as_vec()[0] == 'i':
                input_type = tag.as_vec()[2]
                if input_type == "text":
                    prompt = tag.as_vec()[1]

        options = {
            "prompt": prompt,
            "nostr": nostr_mode,
        }
        request_form['options'] = json.dumps(options)

        return request_form

    def process(self, request_form):
        from openai import OpenAI
        temp_open_ai_api_key = os.environ["OPENAI_API_KEY"]
        os.environ["OPENAI_API_KEY"] = os.getenv("UNLEASHED_API_KEY")
        options = DVMTaskInterface.set_options(request_form)

        try:
            client = OpenAI(
                base_url='https://unleashed.chat/api/v1',
            )

            print('Models:\n')

            for model in client.models.list():
                print('- ' + model.id)

            normal_stream = client.chat.completions.create(
                messages=[
                    {
                        'role': 'user',
                        'content': options["prompt"],
                    }
                ],
                model='dolphin-2.2.1-mistral-7b',
                stream=True,
                extra_body={
                    'nostr_mode': options["nostr"],
                },
            )

            print('\nChat response: ', end='')

            result = ""
            for chunk in normal_stream:
                result += chunk.choices[0].delta.content
                print(chunk.choices[0].delta.content, end='')

            os.environ["OPENAI_API_KEY"] = temp_open_ai_api_key
            return result

        except Exception as e:
            print("Error in Module: " + str(e))
            raise Exception(e)


# We build an example here that we can call by either calling this file directly from the main directory,
# or by adding it to our playground. You can call the example and adjust it to your needs or redefine it in the
# playground or elsewhere
def build_example(name, identifier, admin_config):
    dvm_config = build_default_config(identifier)
    dvm_config.SEND_FEEDBACK_EVENTS = False
    admin_config.LUD16 = dvm_config.LN_ADDRESS


    nip89info = {
        "name": name,
        "image": "https://unleashed.chat/_app/immutable/assets/hero.pehsu4x_.jpeg",
        "about": "I generate Text with Unleashed.chat",
        "encryptionSupported": True,
        "cashuAccepted": True,
        "nip90Params": {}
    }

    nip89config = NIP89Config()
    nip89config.DTAG = check_and_set_d_tag(identifier, name, dvm_config.PRIVATE_KEY, nip89info["image"])
    nip89config.CONTENT = json.dumps(nip89info)

    return TextGenerationUnleashedChat(name=name, dvm_config=dvm_config, nip89config=nip89config, admin_config=admin_config, )


if __name__ == '__main__':
    process_venv(TextGenerationUnleashedChat)
